diff --git a/data/US_MX_native_interests.json b/data/US_MX_native_interests.json
deleted file mode 100644
index f99f2a0..0000000
--- a/data/US_MX_native_interests.json
+++ /dev/null
@@ -1,1364 +0,0 @@
-{
-    "ages_ranges": [
-        {
-            "max": 65, 
-            "min": 18
-        }
-    ], 
-    "behavior": [
-        {
-            "name": "Not Expats and close friends of expats", 
-            "not": [
-                6015559470583, 6025978286383
-            ]
-        }
-    ], 
-    "genders": [
-        0
-    ], 
-    "geo_locations": [
-        {
-            "location_types": [
-                "home"
-            ], 
-            "name": "countries", 
-            "values": [
-                "US"
-            ]
-        }, 
-        {
-            "location_types": [
-                "home"
-            ], 
-            "name": "countries", 
-            "values": [
-                "MX"
-            ]
-        }
-    ], 
-    "interests": [
-        {
-            "or": [6002839660079], 
-            "name": ["Cosmetics"]
-        }, 
-        { 
-            "or": [6002866718622], 
-            "name": ["Science"]
-        }, 
-        { 
-            "or": [6002867432822], 
-            "name": ["Beauty"]
-        }, 
-        { 
-            "or": [6002868021822], 
-            "name": ["Adventure travel"]
-        }, 
-        { 
-            "or": [6002868910910], 
-            "name": ["Organic food"]
-        }, 
-        { 
-            "or": [6002884511422], 
-            "name": ["Small business"]
-        }, 
-        { 
-            "or": [6002920953955], 
-            "name": ["Interior design"]
-        }, 
-        { 
-            "or": [6002925538921], 
-            "name": ["Acting"]
-        }, 
-        { 
-            "or": [6002926108721], 
-            "name": ["Vacations"]
-        }, 
-        { 
-            "or": [6002929380259], 
-            "name": ["Volleyball"]
-        }, 
-        { 
-            "or": [6002936693259], 
-            "name": ["Soft drinks"]
-        }, 
-        { 
-            "or": [6002951587955], 
-            "name": ["Classical music"]
-        }, 
-        { 
-            "or": [6002957026250], 
-            "name": ["Theatre"]
-        }, 
-        { 
-            "or": [6002960574320], 
-            "name": ["Tablet computers"]
-        }, 
-        { 
-            "or": [6002963523717], 
-            "name": ["Aviation"]
-        }, 
-        { 
-            "or": [6002964239317], 
-            "name": ["Mexican cuisine"]
-        }, 
-        { 
-            "or": [6002964500317], 
-            "name": ["Word games"]
-        }, 
-        { 
-            "or": [6002970406974], 
-            "name": ["Concerts"]
-        }, 
-        { 
-            "or": [6002971085794], 
-            "name": ["Mobile phones"]
-        }, 
-        { 
-            "or": [6002971095994], 
-            "name": ["Action games"]
-        }, 
-        { 
-            "or": [6002979499920], 
-            "name": ["Fishing"]
-        }, 
-        { 
-            "or": [6002984573619], 
-            "name": ["Surfing"]
-        }, 
-        { 
-            "or": [6002985584323], 
-            "name": ["Outdoor recreation"]
-        }, 
-        { 
-            "or": [6002986104968], 
-            "name": ["Mystery fiction"]
-        }, 
-        { 
-            "or": [6002991239659], 
-            "name": ["Motherhood"]
-        }, 
-        { 
-            "or": [6002991736368], 
-            "name": ["Reading"]
-        }, 
-        { 
-            "or": [6002997799844], 
-            "name": ["Singing"]
-        }, 
-        { 
-            "or": [6002998078382], 
-            "name": ["Military"]
-        }, 
-        { 
-            "or": [6002998123892], 
-            "name": ["Japanese cuisine"]
-        }, 
-        { 
-            "or": [6002998517244], 
-            "name": ["Camcorders"]
-        }, 
-        { 
-            "or": [6003012185129], 
-            "name": ["Meditation"]
-        }, 
-        { 
-            "or": [6003012317397], 
-            "name": ["Gambling"]
-        }, 
-        { 
-            "or": [6003012461997], 
-            "name": ["Beer"]
-        }, 
-        { 
-            "or": [6003020834693], 
-            "name": ["Music"]
-        }, 
-        { 
-            "or": [6003025268985], 
-            "name": ["Tattoos"]
-        }, 
-        { 
-            "or": [6003029869785], 
-            "name": ["Arts and music"]
-        }, 
-        { 
-            "or": [6003030029655], 
-            "name": ["Chinese cuisine"]
-        }, 
-        { 
-            "or": [6003030519207], 
-            "name": ["Online poker"]
-        }, 
-        { 
-            "or": [6003049202156], 
-            "name": ["Community issues"]
-        }, 
-        { 
-            "or": [6003053056644], 
-            "name": ["Gardening"]
-        }, 
-        { 
-            "or": [6003054884732], 
-            "name": ["Coupons"]
-        }, 
-        { 
-            "or": [6003059385128], 
-            "name": ["Ecotourism"]
-        }, 
-        {
-            "or": [6003059733932], 
-            "name": ["First-person shooter games"]
-        }, 
-        { 
-            "or": [6003062205328], 
-            "name": ["Retail banking"]
-        }, 
-        { 
-            "or": [6003063638807], 
-            "name": ["Investment banking"]
-        }, 
-        { 
-            "or": [6003064649070], 
-            "name": ["Mountains"]
-        }, 
-        { 
-            "or": [6003070122382], 
-            "name": ["Toys"]
-        }, 
-        { 
-            "or": [6003070856229], 
-            "name": ["Games"]
-        }, 
-        { 
-            "or": [6003071094715], 
-            "name": ["Gospel music"]
-        }, 
-        {
-            "or": [6003074487739], 
-            "name": ["E-books"]
-        }, 
-        { 
-            "or": [6003074954515], 
-            "name": ["Sales"]
-        }, 
-        { 
-            "or": [6003076016339], 
-            "name": ["Email marketing"]
-        }, 
-        { 
-            "or": [6003083357650], 
-            "name": ["Manga"]
-        }, 
-        { 
-            "or": [6003087413192], 
-            "name": ["Baseball"]
-        }, 
-        { 
-            "or": [6003088846792], 
-            "name": ["Beauty salons"]
-        }, 
-        { 
-            "or": [6003090714101], 
-            "name": ["Car rentals"]
-        }, 
-        { 
-            "or": [6003092330156], 
-            "name": ["Mountain biking"]
-        }, 
-        { 
-            "or": [6003092882217], 
-            "name": ["Trucks"]
-        }, 
-        { 
-            "or": [6003096002658], 
-            "name": ["Graphic design"]
-        }, 
-        { 
-            "or": [6003101323797], 
-            "name": ["Fatherhood"]
-        }, 
-        { 
-            "or": [6003102729234], 
-            "name": ["Italian cuisine"]
-        }, 
-        { 
-            "or": [6003102988840], 
-            "name": ["Latin American cuisine"]
-        }, 
-        { 
-            "or": [6003103108917], 
-            "name": ["Boutiques"]
-        }, 
-        { 
-            "or": [6003105618835], 
-            "name": ["Crafts"]
-        }, 
-        { 
-            "or": [6003106813190], 
-            "name": ["Hunting"]
-        }, 
-        { 
-            "or": [6003107699532], 
-            "name": ["Soul music"]
-        }, 
-        {
-            "or": [6003107902433], 
-            "name": ["Association football (Soccer)"]
-        }, 
-        { 
-            "or": [6003108411433], 
-            "name": ["Rabbits"]
-        }, 
-        { 
-            "or": [6003108649035], 
-            "name": ["Spanish cuisine"]
-        }, 
-        { 
-            "or": [6003108826384], 
-            "name": ["Music festivals"]
-        }, 
-        { 
-            "or": [6003115804542], 
-            "name": ["Desktop computers"]
-        }, 
-        { 
-            "or": [6003116038942], 
-            "name": ["Computer monitors"]
-        }, 
-        { 
-            "or": [6003120620858], 
-            "name": ["Coffeehouses"]
-        }, 
-        { 
-            "or": [6003122958658], 
-            "name": ["Boating"]
-        }, 
-        { 
-            "or": [6003125064949], 
-            "name": ["Electric vehicle"]
-        }, 
-        { 
-            "or": [6003125948045], 
-            "name": ["Desserts"]
-        }, 
-        { 
-            "or": [6003126215349], 
-            "name": ["Comics"]
-        }, 
-        { 
-            "or": [6003126358188], 
-            "name": ["TV game shows"]
-        }, 
-        { 
-            "or": [6003127206524], 
-            "name": ["Digital marketing"]
-        }, 
-        { 
-            "or": [6003129926917], 
-            "name": ["Animated movies"]
-        }, 
-        { 
-            "or": [6003132926214], 
-            "name": ["Furniture"]
-        }, 
-        { 
-            "or": [6003133486214], 
-            "name": ["Vehicles"]
-        }, 
-        { 
-            "or": [6003133978408], 
-            "name": ["Chocolate"]
-        }, 
-        { 
-            "or": [6003134986700], 
-            "name": ["Baking"]
-        }, 
-        { 
-            "or": [6003137105590], 
-            "name": ["Volunteering"]
-        }, 
-        { 
-            "or": [6003139266461], 
-            "name": ["Movies"]
-        }, 
-        { 
-            "or": [6003141785766], 
-            "name": ["Mortgage loans"]
-        }, 
-        { 
-            "or": [6003142705949], 
-            "name": ["Computer processors"]
-        }, 
-        { 
-            "or": [6003142974961], 
-            "name": ["Painting"]
-        }, 
-        { 
-            "or": [6003143720966], 
-            "name": ["Personal finance"]
-        }, 
-        { 
-            "or": [6003146442552], 
-            "name": ["Jazz music"]
-        }, 
-        { 
-            "or": [6003146718552], 
-            "name": ["Auto racing"]
-        }, 
-        { 
-            "or": [6003146729229], 
-            "name": ["Distilled beverage"]
-        }, 
-        { 
-            "or": [6003147868152], 
-            "name": ["Parties"]
-        }, 
-        { 
-            "or": [6003148544265], 
-            "name": ["Wine"]
-        }, 
-        { 
-            "or": [6003151951349], 
-            "name": ["Computer servers"]
-        }, 
-        { 
-            "or": [6003153672865], 
-            "name": ["Online games"]
-        }, 
-        { 
-            "or": [6003154043305], 
-            "name": ["Performing arts"]
-        }, 
-        { 
-            "or": [6003155333705], 
-            "name": ["Vegetarianism"]
-        }, 
-        { 
-            "or": [6003156321008], 
-            "name": ["Bars"]
-        }, 
-        { 
-            "or": [6003157824284], 
-            "name": ["Bollywood movies"]
-        }, 
-        { 
-            "or": [6003159378782], 
-            "name": ["Cats"]
-        }, 
-        { 
-            "or": [6003159413034], 
-            "name": ["Fish"]
-        }, 
-        { 
-            "or": [6003161475030], 
-            "name": ["Comedy movies"]
-        }, 
-        { 
-            "or": [6003162931434], 
-            "name": ["College football"]
-        }, 
-        { 
-            "or": [6003166397215], 
-            "name": ["Swimming"]
-        }, 
-        { 
-            "or": [6003167425934], 
-            "name": ["Shopping and fashion"]
-        }, 
-        { 
-            "or": [6003172273055], 
-            "name": ["Sustainability"]
-        }, 
-        { 
-            "or": [6003172448161], 
-            "name": ["TV talkshows"]
-        }, 
-        { 
-            "or": [6003172932634], 
-            "name": ["TV"]
-        }, 
-        { 
-            "or": [6003176101552], 
-            "name": ["Massively multiplayer online games"]
-        }, 
-        { 
-            "or": [6003176678152], 
-            "name": ["Automobiles"]
-        }, 
-        { 
-            "or": [6003178374133], 
-            "name": ["Fantasy movies"]
-        }, 
-        { 
-            "or": [6003179515414], 
-            "name": ["Dance music"]
-        }, 
-        { 
-            "or": [6003120620858], 
-            "name": ["Coffeehouses"]
-        }, 
-        { 
-            "or": [6003188355978], 
-            "name": ["Dresses"]
-        }, 
-        { 
-            "or": [6003194056672], 
-            "name": ["Fine art"]
-        }, 
-        { 
-            "or": [6003195554098], 
-            "name": ["Rhythm and blues music"]
-        }, 
-        { 
-            "or": [6003195797498], 
-            "name": ["Cuisine"]
-        }, 
-        {
-            "or": [6003198370967], 
-            "name": ["Massively multiplayer online role-playing games"]
-        }, 
-        { 
-            "or": [6003198476967], 
-            "name": ["Handbags"]
-        }, 
-        { 
-            "or": [6003198851865], 
-            "name": ["Dating"]
-        }, 
-        { 
-            "or": [6003200340482], 
-            "name": ["Middle Eastern cuisine"]
-        }, 
-        { 
-            "or": [6003206216430], 
-            "name": ["Magazines"]
-        }, 
-        { 
-            "or": [6003206308286], 
-            "name": ["Science fiction movies"]
-        }, 
-        { 
-            "or": [6003207605030], 
-            "name": ["Minivans"]
-        }, 
-        { 
-            "or": [6003210799924], 
-            "name": ["Romance novels"]
-        }, 
-        { 
-            "or": [6003211401886], 
-            "name": ["Air travel"]
-        }, 
-        { 
-            "or": [6003217093576], 
-            "name": ["Insurance"]
-        }, 
-        { 
-            "or": [6003220634758], 
-            "name": ["Discount stores"]
-        }, 
-        { 
-            "or": [6003224441249], 
-            "name": ["Televisions"]
-        }, 
-        { 
-            "or": [6003225325061], 
-            "name": ["Thriller movies"]
-        }, 
-        { 
-            "or": [6003225556345], 
-            "name": ["Hip hop music"]
-        }, 
-        { 
-            "or": [6003225930699], 
-            "name": ["Cruises"]
-        }, 
-        { 
-            "or": [6003232518610], 
-            "name": ["Parenting"]
-        }, 
-        { 
-            "or": [6003234413249], 
-            "name": ["Home improvement"]
-        }, 
-        { 
-            "or": [6003240742699], 
-            "name": ["Seafood"]
-        }, 
-        { 
-            "or": [6003243058188], 
-            "name": ["Diners"]
-        }, 
-        { 
-            "or": [6003243604899], 
-            "name": ["Action movies"]
-        }, 
-        { 
-            "or": [6003246168013], 
-            "name": ["Simulation games"]
-        }, 
-        { 
-            "or": [6003247127613], 
-            "name": ["Ballet"]
-        }, 
-        { 
-            "or": [6003247790075], 
-            "name": ["Literature"]
-        }, 
-        { 
-            "or": [6003247890613], 
-            "name": ["Dancehalls"]
-        }, 
-        { 
-            "or": [6003248338072], 
-            "name": ["Casino games"]
-        }, 
-        { 
-            "or": [6003252179711], 
-            "name": ["Engineering"]
-        }, 
-        { 
-            "or": [6003254590688], 
-            "name": ["Spas"]
-        }, 
-        { 
-            "or": [6003255640088], 
-            "name": ["Sunglasses"]
-        }, 
-        { 
-            "or": [6003257757682], 
-            "name": ["Blues music"]
-        }, 
-        { 
-            "or": [6003263791114], 
-            "name": ["Shopping"]
-        }, 
-        { 
-            "or": [6003266061909], 
-            "name": ["Food"]
-        }, 
-        { 
-            "or": [6003266225248], 
-            "name": ["Jewelry"]
-        }, 
-        { 
-            "or": [6003266266843], 
-            "name": ["Fashion design"]
-        }, 
-        { 
-            "or": [6003268182136], 
-            "name": ["TV reality shows"]
-        }, 
-        { 
-            "or": [6003269553527], 
-            "name": ["Sports"]
-        }, 
-        { 
-            "or": [6003270811593], 
-            "name": ["Higher education"]
-        }, 
-        { 
-            "or": [6003274262708], 
-            "name": ["Fiction books"]
-        }, 
-        { 
-            "or": [6003277229371], 
-            "name": ["Physical fitness"]
-        }, 
-        { 
-            "or": [6003279598823], 
-            "name": ["Marketing"]
-        }, 
-        { 
-            "or": [6003280676501], 
-            "name": ["GPS devices"]
-        }, 
-        { 
-            "or": [6003280740901], 
-            "name": ["Veterans"]
-        }, 
-        { 
-            "or": [6003283801502], 
-            "name": ["Thai cuisine"]
-        }, 
-        { 
-            "or": [6003286289697], 
-            "name": ["Birds"]
-        }, 
-        { 
-            "or": [6003288647527], 
-            "name": ["Projectors"]
-        }, 
-        { 
-            "or": [6003289911338], 
-            "name": ["Smartphones"]
-        }, 
-        { 
-            "or": [6003290005325], 
-            "name": ["Web development"]
-        }, 
-        { 
-            "or": [6003290811111], 
-            "name": ["Current events"]
-        }, 
-        { 
-            "or": [6003297396138], 
-            "name": ["Banking"]
-        }, 
-        { 
-            "or": [6003299204611], 
-            "name": ["Beverages"]
-        }, 
-        { 
-            "or": [6003302121228], 
-            "name": ["Guitar"]
-        }, 
-        { 
-            "or": [6003304473660], 
-            "name": ["SUVs"]
-        }, 
-        { 
-            "or": [6003305361460], 
-            "name": ["TV comedies"]
-        }, 
-        { 
-            "or": [6003306084421], 
-            "name": ["Yoga"]
-        }, 
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-            "or": [6003306415421], 
-            "name": ["Greek cuisine"]
-        }, 
-        { 
-            "or": [6003324287371], 
-            "name": ["Skiing"]
-        }, 
-        { 
-            "or": [6003324917336], 
-            "name": ["Nutrition"]
-        }, 
-        { 
-            "or": [6003325186571], 
-            "name": ["Cameras"]
-        }, 
-        { 
-            "or": [6003327856180], 
-            "name": ["Dieting"]
-        }, 
-        { 
-            "or": [6003332344237], 
-            "name": ["Dogs"]
-        }, 
-        { 
-            "or": [6003332483177], 
-            "name": ["Music videos"]
-        }, 
-        { 
-            "or": [6003341579196], 
-            "name": ["Pop music"]
-        }, 
-        { 
-            "or": [6003342470823], 
-            "name": ["Board games"]
-        }, 
-        { 
-            "or": [6003343485089], 
-            "name": ["Korean cuisine"]
-        }, 
-        { 
-            "or": [6003343997689], 
-            "name": ["Home Appliances"]
-        }, 
-        { 
-            "or": [6003346311730], 
-            "name": ["Vietnamese cuisine"]
-        }, 
-        { 
-            "or": [6003346592981], 
-            "name": ["Online shopping"]
-        }, 
-        { 
-            "or": [6003348453981], 
-            "name": ["Shoes"]
-        }, 
-        { 
-            "or": [6003348604581], 
-            "name": ["Fashion accessories"]
-        }, 
-        { 
-            "or": [6003348662930], 
-            "name": ["Camping"]
-        }, 
-        { 
-            "or": [6003349175527], 
-            "name": ["Computer memory"]
-        }, 
-        { 
-            "or": [6003349442621], 
-            "name": ["Entertainment"]
-        }, 
-        { 
-            "or": [6003351312828], 
-            "name": ["Musical theatre"]
-        }, 
-        { 
-            "or": [6003351764757], 
-            "name": ["Triathlons"]
-        }, 
-        { 
-            "or": [6003353550130], 
-            "name": ["Motorcycles"]
-        }, 
-        { 
-            "or": [6003355530237], 
-            "name": ["Gyms"]
-        }, 
-        { 
-            "or": [6003359996821], 
-            "name": ["Nature"]
-        }, 
-        { 
-            "or": [6003361714600], 
-            "name": ["Nightclubs"]
-        }, 
-        { 
-            "or": [6003369240775], 
-            "name": ["Basketball"]
-        }, 
-        { 
-            "or": [6003369521274], 
-            "name": ["Zumba"]
-        }, 
-        { 
-            "or": [6003369782940], 
-            "name": ["Credit cards"]
-        }, 
-        { 
-            "or": [6003370636074], 
-            "name": ["Search engine optimization"]
-        }, 
-        { 
-            "or": [6003371567474], 
-            "name": ["Entrepreneurship"]
-        }, 
-        { 
-            "or": [6003372667195], 
-            "name": ["Fast food restaurants"]
-        }, 
-        { 
-            "or": [6003373175581], 
-            "name": ["Documentary movies"]
-        }, 
-        { 
-            "or": [6003375422677], 
-            "name": ["Drama movies"]
-        }, 
-        { 
-            "or": [6003376089674], 
-            "name": ["American football"]
-        }, 
-        {
-            "or": [6003380576181], 
-            "name": ["Role-playing games"]
-        }, 
-        { 
-            "or": [6003381994165], 
-            "name": ["Portable media players"]
-        }, 
-        { 
-            "or": [6003382151137], 
-            "name": ["Reptiles"]
-        }, 
-        { 
-            "or": [6003384248805], 
-            "name": ["Fitness and wellness"]
-        }, 
-        { 
-            "or": [6003385141743], 
-            "name": ["Racing games"]
-        }, 
-        { 
-            "or": [6003385609165], 
-            "name": ["Recipes"]
-        }, 
-        { 
-            "or": [6003387418453], 
-            "name": ["Web hosting"]
-        }, 
-        { 
-            "or": [6003387633593], 
-            "name": ["Drums"]
-        }, 
-        { 
-            "or": [6003388314512], 
-            "name": ["Investment"]
-        }, 
-        { 
-            "or": [6003389760112], 
-            "name": ["Social media marketing"]
-        }, 
-        { 
-            "or": [6003390752144], 
-            "name": ["Shopping malls"]
-        }, 
-        { 
-            "or": [6003392512725], 
-            "name": ["Energy drinks"]
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-        { 
-            "or": [6003394580331], 
-            "name": ["RVs"]
-        }, 
-        { 
-            "or": [6003395353671], 
-            "name": ["Religion"]
-        }, 
-        { 
-            "or": [6003395414271], 
-            "name": ["Construction"]
-        }, 
-        { 
-            "or": [6003397425735], 
-            "name": ["Tennis"]
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-        { 
-            "or": [6003397496347], 
-            "name": ["Running"]
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-        { 
-            "or": [6003398056603], 
-            "name": ["Fast casual restaurants"]
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-        { 
-            "or": [6003402305839], 
-            "name": ["Business"]
-        }, 
-        { 
-            "or": [6003402518839], 
-            "name": ["Web design"]
-        }, 
-        { 
-            "or": [6003404634364], 
-            "name": ["Computers"]
-        }, 
-        { 
-            "or": [6003409043877], 
-            "name": ["Alcoholic beverages"]
-        }, 
-        { 
-            "or": [6003409392877], 
-            "name": ["Weddings"]
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-        {
-            "or": [6003415393053], 
-            "name": ["Children's clothing"]
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-        { 
-            "or": [6003416777039], 
-            "name": ["Horses"]
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-        { 
-            "or": [6003417378239], 
-            "name": ["Plays"]
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-        { 
-            "or": [6003420024431], 
-            "name": ["French cuisine"]
-        }, 
-        {
-            "or": [6003420644631], 
-            "name": ["Non-fiction books"]
-        }, 
-        { 
-            "or": [6003422719241], 
-            "name": ["Charity and causes"]
-        }, 
-        { 
-            "or": [6003423342191], 
-            "name": ["Dance"]
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-        { 
-            "or": [6003423416540], 
-            "name": ["Free software"]
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-        { 
-            "or": [6003424404140], 
-            "name": ["Marathons"]
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-        { 
-            "or": [6003430600057], 
-            "name": ["Lakes"]
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-        { 
-            "or": [6003430696269], 
-            "name": ["Tourism"]
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-        { 
-            "or": [6003431201869], 
-            "name": ["Beaches"]
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-        { 
-            "or": [6003434373937], 
-            "name": ["Browser games"]
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-        { 
-            "or": [6003435096731], 
-            "name": ["Barbecue"]
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-        { 
-            "or": [6003436950375], 
-            "name": ["Restaurants"]
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-        { 
-            "or": [6003443805331], 
-            "name": ["Fragrances"]
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-        { 
-            "or": [6003445506042], 
-            "name": ["Marriage"]
-        }, 
-        { 
-            "or": [6003446055283], 
-            "name": ["Scooters"]
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-        { 
-            "or": [6003456330903], 
-            "name": ["Hair products"]
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-        { 
-            "or": [6003456388203], 
-            "name": ["Clothing"]
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-        { 
-            "or": [6003461162225], 
-            "name": ["Pet food"]
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-        { 
-            "or": [6003462707303], 
-            "name": ["Books"]
-        }, 
-        { 
-            "or": [6003464109203], 
-            "name": ["Health care"]
-        }, 
-        { 
-            "or": [6003466585319], 
-            "name": ["Online banking"]
-        }, 
-        {
-            "or": [6003470511564], 
-            "name": ["Do it yourself (DIY)"]
-        }, 
-        { 
-            "or": [6003471508663], 
-            "name": ["Shooter games"]
-        }, 
-        { 
-            "or": [6003473077165], 
-            "name": ["Weight training"]
-        }, 
-        { 
-            "or": [6003476182657], 
-            "name": ["Family"]
-        }, 
-        { 
-            "or": [6003481391264], 
-            "name": ["Display advertising"]
-        }, 
-        { 
-            "or": [6003491283786], 
-            "name": ["Tea"]
-        }, 
-        { 
-            "or": [6003493980595], 
-            "name": ["Country music"]
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-        { 
-            "or": [6003494675627], 
-            "name": ["Indian cuisine"]
-        }, 
-        { 
-            "or": [6003509171264], 
-            "name": ["Hiking"]
-        }, 
-        { 
-            "or": [6003510075864], 
-            "name": ["Golf"]
-        }, 
-        { 
-            "or": [6003512053894], 
-            "name": ["Snowboarding"]
-        }, 
-        { 
-            "or": [6003526234370], 
-            "name": ["Online advertising"]
-        }, 
-        { 
-            "or": [6003540150873], 
-            "name": ["Sports games"]
-        }, 
-        { 
-            "or": [6003572379887], 
-            "name": ["Hotels"]
-        }, 
-        { 
-            "or": [6003578086487], 
-            "name": ["Real estate"]
-        }, 
-        { 
-            "or": [6003582500438], 
-            "name": ["Strategy games"]
-        }, 
-        { 
-            "or": [6003582732907], 
-            "name": ["Rock music"]
-        }, 
-        { 
-            "or": [6003584163107], 
-            "name": ["Advertising"]
-        }, 
-        { 
-            "or": [6003586608473], 
-            "name": ["Writing"]
-        }, 
-        { 
-            "or": [6003605717820], 
-            "name": ["Anime movies"]
-        }, 
-        { 
-            "or": [6003626773307], 
-            "name": ["Coffee"]
-        }, 
-        { 
-            "or": [6003629266583], 
-            "name": ["Hard drives"]
-        }, 
-        { 
-            "or": [6003633122583], 
-            "name": ["Heavy metal music"]
-        }, 
-        { 
-            "or": [6003641846820], 
-            "name": ["Veganism"]
-        }, 
-        { 
-            "or": [6003647522546], 
-            "name": ["Card games"]
-        }, 
-        { 
-            "or": [6003648059946], 
-            "name": ["Bodybuilding"]
-        }, 
-        { 
-            "or": [6003649983713], 
-            "name": ["Design"]
-        }, 
-        { 
-            "or": [6003654559478], 
-            "name": ["Politics"]
-        }, 
-        { 
-            "or": [6003656063078], 
-            "name": ["Nursing"]
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-        { 
-            "or": [6003656112304], 
-            "name": ["Economics"]
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-        { 
-            "or": [6003656296104], 
-            "name": ["Network storage"]
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-        { 
-            "or": [6003656922020], 
-            "name": ["Horror movies"]
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-        { 
-            "or": [6003659420716], 
-            "name": ["Cooking"]
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-        { 
-            "or": [6003668857118], 
-            "name": ["Pizza"]
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-        { 
-            "or": [6003668975718], 
-            "name": ["Puzzle video games"]
-        }, 
-        { 
-            "or": [6003703762913], 
-            "name": ["Law"]
-        }, 
-        { 
-            "or": [6003703931713], 
-            "name": ["Juice"]
-        }, 
-        { 
-            "or": [6003716669862], 
-            "name": ["Consumer electronics"]
-        }, 
-        { 
-            "or": [6003717247746], 
-            "name": ["Sculpture"]
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-        { 
-            "or": [6003717914546], 
-            "name": ["Hybrids"]
-        }, 
-        { 
-            "or": [6003729124262], 
-            "name": ["Audio equipment"]
-        }, 
-        { 
-            "or": [6003778400853], 
-            "name": ["Retail"]
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-        { 
-            "or": [6003779859852], 
-            "name": ["Horseback riding"]
-        }, 
-        { 
-            "or": [6003780008652], 
-            "name": ["Online"]
-        }, 
-        { 
-            "or": [6003780025252], 
-            "name": ["Drawing"]
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-        { 
-            "or": [6003840140052], 
-            "name": ["Agriculture"]
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-        { 
-            "or": [6003899195666], 
-            "name": ["Photography"]
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-        { 
-            "or": [6003902397066], 
-            "name": ["Electronic music"]
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-        { 
-            "or": [6003902462066], 
-            "name": ["Theme parks"]
-        }, 
-        { 
-            "or": [6003940339466], 
-            "name": ["Video games"]
-        }, 
-        { 
-            "or": [6003943667466], 
-            "name": ["Game consoles"]
-        }, 
-        { 
-            "or": [6003970975896], 
-            "name": ["Environmentalism"]
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-        { 
-            "or": [6003985771306], 
-            "name": ["Technology"]
-        }, 
-        { 
-            "or": [6004030160948], 
-            "name": ["Social media"]
-        }, 
-        { 
-            "or": [6004037107009], 
-            "name": ["Boats"]
-        }, 
-        { 
-            "or": [6004037400009], 
-            "name": ["Fast food"]
-        }, 
-        { 
-            "or": [6004037726009], 
-            "name": ["Pets"]
-        }, 
-        { 
-            "or": [6004037932409], 
-            "name": ["Management"]
-        }, 
-        { 
-            "or": [6004043913548], 
-            "name": ["Newspapers"]
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-        { 
-            "or": [6004094205989], 
-            "name": ["German cuisine"]
-        }, 
-        { 
-            "or": [6004100985609], 
-            "name": ["Friendship"]
-        }, 
-        { 
-            "or": [6004115167424], 
-            "name": ["Physical exercise"]
-        }, 
-        { 
-            "or": [6004140335706], 
-            "name": ["Architecture"]
-        }, 
-        { 
-            "or": [6004160395895], 
-            "name": ["Travel"]
-        }, 
-        { 
-            "or": [6005609368513], 
-            "name": ["Software"]
-        }, 
-        { 
-            "or": [6007828099136], 
-            "name": ["Luxury goods"]
-        }, 
-        { 
-            "or": [6008740787350], 
-            "name": ["Business and industry"]
-        }, 
-        { 
-            "or": [6008803895164], 
-            "name": ["Sports and outdoors"]
-        }, 
-        {
-            "or": [6008832464480], 
-            "name": ["E-book readers"]
-        }, 
-        { 
-            "or": [6009248606271], 
-            "name": ["Food and drink"]
-        }, 
-        { 
-            "or": [6009422452499], 
-            "name": ["Home and garden"]
-        }, 
-        { 
-            "or": [6010924093432], 
-            "name": ["Live events"]
-        }, 
-        {
-            "or": [6011366104268], 
-            "name": ["Women's clothing"]
-        }, 
-        { 
-            "or": [6011515350975], 
-            "name": ["Politics and social issues"]
-        }, 
-        {
-            "or": [6011994253127], 
-            "name": ["Men's clothing"]
-        }, 
-        { 
-            "or": [6012547807252], 
-            "name": ["Hobbies and activities"]
-        }, 
-        { 
-            "or": [6012684376438], 
-            "name": ["Family and relationships"]
-        }
-    ], 
-    "languages": [
-        null
-    ], 
-    "name": "Broad list of interest per country", 
-    "publisher_platforms": [
-        "facebook"
-    ]
-}
\ No newline at end of file
diff --git a/data/hispanic_expat_lang_age.json b/data/hispanic_expat_lang_age.json
deleted file mode 100644
index 8621f85..0000000
--- a/data/hispanic_expat_lang_age.json
+++ /dev/null
@@ -1,426 +0,0 @@
-{   "name": "Hispanic ex-pats",
-    "behavior": [
-        {"or" : [6009609033583], "and" : [6023676072183], "name" : "Hispanic (Spanish-dominant) AND Ex-pats (Mexico)"},
-        {"or" : [6009609054383], "and" : [6023676072183], "name" : "Hispanic (Bilingual) AND Ex-pats (Mexico)"},
-        {"or" : [6009609045383], "and" : [6023676072183], "name" : "Hispanic (English-dominant) AND Ex-pats (Mexico)"}
-    ],
-     "geo_locations" : 
-     [
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3843"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3844"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3845"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3846"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3847"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3848"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3849"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3850"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3852"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "4221"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3853"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3854"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3855"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3856"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3857"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3858"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3859"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3860"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3861"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3862"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3863"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3864"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3865"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3866"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3867"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3868"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3869"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3870"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3871"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3872"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3873"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3874"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3875"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3876"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3877"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3878"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3879"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3880"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3881"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3882"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3883"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3884"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3885"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3886"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3887"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3888"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3889"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3890"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3891"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3892"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3893"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        }
-     ],
-     "ages_ranges": [
-        {"min":13, "max":17},
-        {"min":18, "max":28},
-        {"min":29, "max":38},
-        {"min":39, "max":48},
-        {"min":13, "max":65}
-    ],
-    "genders": [0]
-}
\ No newline at end of file
diff --git a/data/hispanic_expats.json b/data/hispanic_expats.json
deleted file mode 100644
index fb00dde..0000000
--- a/data/hispanic_expats.json
+++ /dev/null
@@ -1,421 +0,0 @@
-{   "name": "Hispanic Expats",
-    "behavior": [
-        {"or" : [6003133212372], "name" : "Hispanic (US - All)"},
-        {"not" : [6003133212372], "name" : "Non-Hispanic"}
-    ],
-     "geo_locations" : 
-     [
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3843"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3844"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3845"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3846"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3847"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3848"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3849"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3850"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3852"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "4221"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3853"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3854"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3855"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3856"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3857"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3858"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3859"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3860"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3861"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3862"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3863"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3864"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3865"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3866"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3867"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3868"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3869"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3870"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3871"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3872"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3873"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3874"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3875"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3876"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3877"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3878"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3879"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3880"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3881"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3882"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3883"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3884"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3885"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3886"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3887"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3888"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3889"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3890"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3891"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3892"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3893"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        }
-     ],
-     "ages_ranges": [
-        {"min":18}
-    ],
-    "genders": [0]
-}
\ No newline at end of file
diff --git a/data/hispanic_lang_age.json b/data/hispanic_lang_age.json
deleted file mode 100644
index c825365..0000000
--- a/data/hispanic_lang_age.json
+++ /dev/null
@@ -1,426 +0,0 @@
-{   "name": "Hispanic language distributions by age and location",
-    "behavior": [
-        {"or" : [6009609054383], "name" : "Hispanic (US - Bilingual)"},
-        {"or" : [6009609033583], "name" : "Hispanic (US - Spanish dominant)"},
-        {"or" : [6009609045383], "name" : "Hispanic (US - English dominant)"}
-    ],
-     "geo_locations" : 
-     [
-        {
-            "name" : "regions",
-            "values" : [
-                {"key" : "3843"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3844"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3845"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3846"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3847"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3848"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3849"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3850"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3852"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "4221"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3853"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3854"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3855"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3856"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3857"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3858"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3859"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3860"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3861"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3862"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3863"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3864"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3865"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3866"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3867"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3868"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3869"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3870"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3871"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3872"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3873"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3874"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3875"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3876"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3877"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3878"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3879"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3880"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3881"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3882"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3883"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3884"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3885"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3886"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3887"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3888"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3889"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3890"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3891"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3892"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        },
-		{
-            "name" : "regions",
-            "values" : [
-                {"key" : "3893"}
-            ],
-            "location_types" : ["home"],
-            "country" : "US"
-        }
-     ],
-     "ages_ranges": [
-        {"min":13, "max":17},
-        {"min":18, "max":28},
-        {"min":29, "max":38},
-        {"min":39, "max":48},
-        {"min":13, "max":65}
-    ],
-    "genders": [0]
-}
\ No newline at end of file
diff --git a/data/newyork_expats.json b/data/newyork_expats.json
deleted file mode 100644
index 5dbb9e1..0000000
--- a/data/newyork_expats.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{   "name": "Expats Distribution in New York",
-    "geo_locations": [
-      { 
-        "name": "cities",
-        "values": [{"key":"2490299"}],
-        "location_types": ["home"] 
-      }
-    ],
-    "behavior": [
-        {"or" : [6019673233983], "name" : "Expats (Zimbabwe)"},
-        {"or" : [6027149006383], "name" : "Expats (Vietnam)"},
-        {"or" : [6026404871583], "name" : "Expats (Venezuela)"},
-        {"or" : [6023620475783], "name" : "Expats (US)"},
-        {"or" : [6019396649183], "name" : "Expats (United States)"},
-        {"or" : [6021354152983], "name" : "Expats (UK)"},
-        {"or" : [6019673501783], "name" : "Expats (Uganda)"},
-        {"or" : [6023516430783], "name" : "Expats (UAE)"},
-        {"or" : [6019366994183], "name" : "Expats (Turkey)"}
-    ],
-    "ages_ranges": [
-        {"min":18}
-    ],
-    "genders": [0]
-}
-
diff --git a/data/ny_subregions.json b/data/ny_subregions.json
deleted file mode 100644
index 7e2af27..0000000
--- a/data/ny_subregions.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-	"name": "New York Zip Codes",
-	"publisher_platforms": ["facebook"],
-	"geo_locations": [
- 		{"name":"zips","values":[{"key":"US:10075"}],"location_types":["home"],"pySocialWatcherReference" :"10075"},
-		{"name":"zips","values":[{"key":"US:10065"}],"location_types":["home"],"pySocialWatcherReference" :"10065"},
-		{"name":"zips","values":[{"key":"US:10453"}],"location_types":["home"],"pySocialWatcherReference" :"10453"},
-		{"name":"zips","values":[{"key":"US:10457"}],"location_types":["home"],"pySocialWatcherReference" :"10457"},
-		{"name":"zips","values":[{"key":"US:10460"}],"location_types":["home"],"pySocialWatcherReference" :"10460"},
-		{"name":"zips","values":[{"key":"US:10458"}],"location_types":["home"],"pySocialWatcherReference" :"10458"},
-		{"name":"zips","values":[{"key":"US:10467"}],"location_types":["home"],"pySocialWatcherReference" :"10467"},
-		{"name":"zips","values":[{"key":"US:10468"}],"location_types":["home"],"pySocialWatcherReference" :"10468"},
-		{"name":"zips","values":[{"key":"US:10451"}],"location_types":["home"],"pySocialWatcherReference" :"10451"},
-		{"name":"zips","values":[{"key":"US:10452"}],"location_types":["home"],"pySocialWatcherReference" :"10452"}
-		
-	],
-	"behavior": {
-		"access_device": [{
-			"or": [6004384041172],
-			"name": "iOS"
-		}]
-	},
-	"ages_ranges": [{
-			"min": 18,
-			"max": 24
-		}
-	],
-	"genders": [1, 2],
-	"interests": [null]
-}
\ No newline at end of file
diff --git a/data/top_interests_complete_names.csv b/data/top_interests_complete_names.csv
new file mode 100644
index 0000000..44b4dae
--- /dev/null
+++ b/data/top_interests_complete_names.csv
@@ -0,0 +1,1776 @@
+interest_id,interest_name
+6003349442621,Entertainment
+6003142505790,Facebook
+6003342621987,Social network
+6003167425934,Shopping and fashion
+6003985771306,Technology
+6012547807252,Hobbies and activities
+6003045600844,Instant messaging
+6009177290315,Facebook Messenger
+6008803895164,Sports and outdoors
+6003269553527,Sports
+6008740787350,Business and industry
+6003716669862,Consumer electronics
+6003263791114,Shopping
+6012684376438,Family and relationships
+6003188427578,Facebook for Android
+6009248606271,Food and drink
+6003020834693,Music
+6003070856229,Games
+6003266061909,Food
+6003139266461,Movies
+6004160395895,Travel
+6003476182657,Family
+6002991736368,Reading
+6003186556105,Love
+6003224441249,Televisions
+6003404634364,Computers
+6003940339466,Video games
+6002971085794,Mobile phones
+6003029869785,Arts and music
+6003456388203,Clothing
+6003327060545,Education
+6002867432822,Beauty
+6004100985609,Friendship
+6003346592981,Online shopping
+6003133486214,Vehicles
+6003670602220,Instagram
+6003384248805,Fitness and wellness
+6003117496988,NA
+6003343846195,Life
+6003176678152,Automobiles
+6003329354837,Time
+6003402305839,Business
+6003107902433,Association football (Soccer)
+6003130044117,Finance
+6002932652762,World
+6003172932634,TV
+6003649983713,Design
+6003299204611,Beverages
+6003539884903,Android (operating system)
+6010924093432,Live events
+6003899195666,Photography
+6003074954515,Sales
+6003780008652,Online
+6003348604581,Fashion accessories
+6011515350975,Politics and social issues
+6003582492638,Happiness
+6002839660079,Cosmetics
+6003115458342,Google Play
+6003332483177,Music videos
+6003348453981,Shoes
+6003345696474,Child
+6004037726009,Pets
+6003423416540,Free software
+6003243461213,Human
+6003513539242,Price
+6003462707303,Books
+6003525810694,Video
+6003290811111,Current events
+6003231864010,Photograph
+6021349682746,Mobile app
+6003341579196,Pop music
+6005609368513,Software
+6002880533372,Chang'e
+6003582732907,Rock music
+6003289911338,Smartphones
+6003188098201,Woman
+6004110675424,Day
+6003423342191,Dance
+6003318587288,Image
+6004043913548,Newspapers
+6003280762643,Country
+6003143720966,Personal finance
+6003371616940,Brand
+6003215957745,Application software
+6003702989291,Website
+6003430696269,Tourism
+6003393912731,People
+6003584283289,WhatsApp
+6003659420716,Cooking
+6003696621690,Gratitude
+6003436950375,Restaurants
+6003359996821,Nature
+6009422452499,Home and garden
+6002986908368,House
+6003248297213,Product (business)
+6002991239659,Motherhood
+6011366104268,Women's clothing
+6003373017775,United States
+6003753105091,Email
+6003418314031,Home
+6003246361542,Download
+6003573036687,Electronics
+6003902907066,Li Ke
+6003054884732,Coupons
+6003201804413,Color
+6003188355978,Dresses
+6003425313775,Emotion
+6003245465167,Journalism
+6003540542827,Water
+6003456330903,Hair products
+6003266225248,Jewelry
+6003000774850,Eating
+6003088846792,Beauty salons
+6003270811593,Higher education
+6003077008693,God
+6011451224265,Imagem
+6003236484449,Learning
+6003290348256,Telecommunication
+6003168601235,Week
+6002985584323,Outdoor recreation
+6004180881895,Information
+6003140995966,Company
+6003390752144,Shopping malls
+6007828099136,Luxury goods
+6003279598823,Marketing
+6003626773307,Coffee
+6003369240775,Basketball
+6003155348505,Sibling
+6003772121522,Telephone
+6003254590688,Spas
+6003325662688,Sales promotion
+6003324338179,City
+6003161475030,Comedy movies
+6003409043877,Alcoholic beverages
+6003100693640,Money
+6003452098986,Rings of Saturn
+6003137935900,NA
+6003589919518,COM file
+6003145979068,School
+6003572379887,Hotels
+6004036173148,Medicine
+6004158316095,YouTube
+6003737549104,Homo sapiens
+6003377622944,Skin
+6011994253127,Men's clothing
+6003200630082,Society
+6003223339834,Culture
+6003225556345,Hip hop music
+6003146344026,Facebook for Iphone
+6003068366382,Trousers
+6003480600464,Earth
+6002944044446,IPhone
+6003852888852,Heart
+6003323844497,Infant
+6003145168352,Victory
+6003277229371,Physical fitness
+6003019539929,Gift
+6003089918015,University
+6004115167424,Physical exercise
+6003385609165,Recipes
+6003089164592,Year
+6003059733932,First-person shooter games
+6003902397066,Electronic music
+6003110046272,Aesthetics
+6003717890746,Research
+6003464102003,Twitter
+6002866718622,Science
+6003206216430,Magazines
+6003567719718,Gold
+6003103108917,Boutiques
+6003153672865,Online games
+6003379167743,Europe
+6002885002822,Sun
+6003369782940,Credit cards
+6003332344237,Dogs
+6003324917336,Footwear
+6003256793569,Community issues
+6003049202156,Humour
+6003582690707,Religion
+6003395353671,Fan (person)
+6003666664220,Delivery (commerce)
+6003481146564,Flower
+6003259120909,Student
+6003342188930,Cuisine
+6003195797498,Furniture
+6003132926214,Rhythm and blues music
+6003195554098,Chocolate
+6003133978408,Law
+6003703762913,Blog
+6003092582417,Soul music
+6003107699532,Philosophy
+6003082070797,T-shirt
+6003372784175,Gardening
+6003053056644,Tea
+6003491283786,Wonder (emotion)
+6003152979349,Theatre
+6002957026250,Beaches
+6003431201869,Eye
+6003336334689,Flatline
+6.00321528994e+12,
+6003198476967,Handbags
+6004034455409,Freight transport
+6003397496403,Biology
+6003306457180,Mind
+6002840139279,Mass media
+6003012317397,Gambling
+6003025268985,Tattoos
+6003242077675,Shirt
+6003243604899,Action movies
+6003778400853,Retail
+6003256946482,Sound
+6002968738492,Freeware
+6003297396138,Banking
+6003729063753,Watch
+6002998047244,Blouse
+6003070122382,Toys
+6004003708061,India
+6003125948045,Desserts
+6002869022910,Light
+6003310766888,Valentine's Day
+6003015569173,Samsung
+6003314163591,Face
+6003543199827,Textile
+6002883962822,Play (activity)
+6003120620858,Coffeehouses
+6003394307931,Member states of the United Nations
+6003114870517,Fruit
+6003199742665,Song
+6003305507369,Cake
+6002997799844,Singing
+6012271491130,Mountains
+6003064649070,China
+6002984938923,Interior design
+6002920953955,Knowledge
+6003392099943,Baseball
+6003087413192,Cats
+6003159378782,Nightclubs
+6003361714600,Family (biology)
+6003190413105,Language
+6003162946655,Actor
+6003417013277,Artist
+6002911421772,Bollywood movies
+6003355530237,Fatherhood
+6003157824284,Cameras
+6003101323797,Leisure
+6003325186571,Employment
+6003249531267,Parties
+6003142845761,Animal
+6.00314786815e+12,
+6.0033583282e+12,
+6004107986809,NA
+6003165927235,Career
+6004025401589,Teacher
+6003211401886,Air travel
+6003181031933,Discounts and allowances
+6003395414271,Construction
+6003255640088,Sunglasses
+6002970406974,Concerts
+6003681763690,Wife
+6003779917452,Puffy AmiYumi
+6003668857118,Pizza
+6003659729907,Celebrity
+6004140335706,Architecture
+6002988344794,Cricket
+6003509853804,IOS
+6003061614928,Touchscreen
+6003207207886,Brazil
+6003196574924,History
+6003249578667,Psychology
+6003224104145,Customer
+6003446282480,Fragrances
+6003443805331,Stock
+6003317542854,Beer
+6.00763563775e+12,
+6.003012462e+12,
+6003417378239,Plays
+6003254603288,Privately held company
+6002897751962,Kitchen
+6003043027845,Energy
+6003705887546,Fatigue (medical)
+6003217093576,Insurance
+6003180715102,Contemporary R&B
+6003277932171,Musical ensemble
+6002989570768,Industry
+6003142974961,Painting
+6002926036121,Italy
+6003255496088,Hairstyle
+6003586608473,Writing
+6003734280753,Communication
+6003654559478,Politics
+6003208762486,Leather
+6003943667466,Game consoles
+6003268182136,TV reality shows
+6003657281638,Album
+6002971095994,Action games
+6003384877565,Transport
+6003142844668,Martial arts
+6002989170450,Sleep
+6003154828549,Product (chemistry)
+6002969794329,Spotify
+6003156321008,Bars
+6003336656596,Chicken
+6003332406177,Organization
+6003578086487,Real estate
+6004034262609,Reality
+6002949965174,Motorcycles
+6003353550130,Yoga
+6003306084421,Bible
+6003424400354,Husband
+6003185207265,Puzzle video games
+6003668975718,Thought
+6003154784305,Universe
+6003291452511,Heavy metal music
+6003633122583,First Epistle to the Thessalonians
+6003224999345,Spain
+6003260221557,Thriller movies
+6003225325061,Weddings
+6003409392877,Smile
+6003091387658,Idea
+6003116716468,Pregnancy
+6003448254625,Bitly
+6003823241507,Animated movies
+6003129926917,Village
+6003279515476,Advertising
+6.00358416311e+12,
+6014749604832,Investment
+6003388314512,Dating
+6003198851865,American football
+6003376089674,Japan
+6003700426513,Personal computer
+6003582533838,NA
+6002964065372,Therapy
+6003382115337,Star
+6003132914528,Angel
+6003101646240,Glass
+6002979844520,Birds
+6003289482743,Training
+6003286289697,Cotton
+6003270631848,Soul
+6003495140827,Team
+6003124454658,Viber
+6002868741910,Wine
+6003435386246,Broadcasting
+6003148544265,Management
+6003107202901,Selfie
+6004037932409,Taste
+6012627188055,Physics
+6003417207151,Hospital
+6.00307229583e+12,
+6.00296434612e+12,
+6003141631026,Girl
+6003840140052,Agriculture
+6003220634758,Discount stores
+6003159413034,Fish
+6003016637329,Viral video
+6003109774500,NA
+6003390457803,Dream
+6003651811316,Government
+6003257757682,Blues music
+6003493980595,Country music
+6003108481633,Satellite television
+6003445506042,Marriage
+6003147885126,Jeans
+6003397425735,Tennis
+6003049405985,Romance film
+6003332764437,Parent
+6003342572223,Adolescence
+6004114510624,Physician
+6003134986700,Baking
+6002989694968,Visual arts
+6003163552515,Laughter
+6002968506768,Online chat
+6003462661944,Trade
+6003374398954,Manufacturing
+6003130700636,Police
+6003107626192,Wholesale
+6003074487739,E-books
+6003261031309,Cloud computing
+6003703021091,Web page
+6003401304747,Tree
+6003371567474,Entrepreneurship
+6003384251605,Astronomy
+6002963523717,Aviation
+6004030160948,Social media
+6002926108721,Vacations
+6003357271404,France
+6003975956748,Wood
+6003239941142,Short Message Service
+6003201119412,Poetry
+6003349726605,Sugar
+6003190679284,Streaming media
+6003399993763,Silver
+6002960574320,Tablet computers
+6003403706343,Promotion (marketing)
+6003115387268,Asia
+6003314955799,Alternative rock
+6003333353828,Skill
+6003265203542,Breakfast
+6003442322883,Apple Inc.
+6004025434189,Plant
+6003397496347,Running
+6003508467842,Meat
+6003369970935,Hour
+6002868021822,Adventure travel
+6003484343998,Music download
+6004122805409,Magic (paranormal)
+6003146718552,Auto racing
+6003414169991,Being
+6002929380259,Volleyball
+6003146442552,Jazz music
+6003653599438,Wish
+6002936693259,Soft drinks
+6002956937323,Mexico
+6003252179711,Engineering
+6003375214796,Female
+6004099944209,Jesus
+6003415393053,Children's clothing
+6002927958659,Forward (association football)
+6003209344533,Candy
+6003011899481,Milk
+6003341902545,Behavior
+6003174252855,Community (TV series)
+6003375422677,Drama movies
+6003654257078,Model (people)
+6003751277867,Pinterest
+6003554961063,NA
+6003334179351,Adventure
+6003901761466,Thailand
+6003512040864,Wealth
+6003325857888,Record producer
+6004037400009,Fast food
+6003314443610,LOL
+6003026294594,Paris
+6003143596040,Justin Bieber
+6003656922020,Horror movies
+6003073168739,Spirituality
+6003323586688,English language
+6003589410638,Order (biology)
+6003175366702,College
+6003515247231,Electricity
+6003352001930,Canada
+6016388157921,Information technology
+6003164535634,Short film
+6003139342776,Market (economics)
+6003393771563,Renting
+6003328429697,Sovereign state
+6002998096382,Literature
+6003247790075,Tuxedo
+6003899506652,Flavor
+6.00313766218e+12,
+6003002193982,Amazon.com
+6003159994808,Hobby
+6003351859930,Concept
+6003400200763,Germany
+6003373175581,Documentary movies
+6003376763805,Chef
+6003947290466,Bicycle
+6003146658152,Reason
+6014357938152,LG Optimus L4 II
+6003232518610,Parenting
+6003976528496,URL shortening
+6003225930699,Cruises
+6003012185129,Meditation
+6002866906422,Skirt
+6003320013018,Garden
+6003071732829,Australia
+6003152263430,Birthday
+6003150915833,Sound recording and reproduction
+6003207154776,Prayer
+6003272351010,Apartment
+6003103732434,Fantasy movies
+6003178374133,Exhibition game
+6003506472664,Childbirth
+6003370795474,Memory
+6.00302892182e+12,
+6003096411016,Perfection
+6003029973385,Computer network
+6003414224689,Planet
+6003384587151,Sneakers (footwear)
+6003480609264,Google
+6002968406892,Moon
+6003599757633,Social science
+6003470511564,Do it yourself (DIY)
+6003201728013,Television network
+6003342807051,Adult
+6003071094715,Gospel music
+6003331735894,Monarch
+6003433300354,Love (John Lennon song)
+6003372516775,Phil Spector
+6003703931713,Juice
+6003087106192,NA
+6004180279295,Photographer
+6003382150737,Dinner
+6003480578469,Battery (electricity)
+6003318557654,Adidas
+6003207495534,World Wide Web
+6003471970063,Paper
+6003004236219,Present
+6003090714101,Car rentals
+6003276721810,Metal
+6003378723965,Netflix
+6003179515414,Dance music
+6003287993741,Musical film
+6003117680388,Property
+6003435096731,Barbecue
+6003067474007,Republic
+6002998078382,Military
+6003656112304,Economics
+6003176714152,Nail (anatomy)
+6002998254982,Television channel
+6003647529746,Africa
+6003102728434,Casual game
+6002985004720,Tradition
+6003902462066,Theme parks
+6003280701823,Random-access memory
+6003430600057,Lakes
+6002890650510,Muscle
+6003185579408,Cheese
+6003450241842,Motorsport
+6003284406579,Conversation
+6003221189867,Swimming pool
+6003219311958,Cream
+6003064305615,Coca-Cola
+6003362483697,Awe
+6.00320683343e+12,
+6003147911926,Mammal
+6003654962420,Honey
+6003135108190,Indonesia
+6003416777039,Horses
+6003127174924,Friday
+1056164911066006,Wide Open West
+6003301698460,Hero
+6003089951815,McDonald's
+6003285790897,Latin America
+6003713596753,Turkey
+6003392754754,"Nike, Inc."
+6003464109203,Health care
+6003514121042,War
+6003430977869,Meme
+6003111344645,Bus
+6003370765074,Bracelet
+6003278094599,Ice cream
+6003116800826,Christian music
+6003605717820,Anime movies
+6003205949286,Youth
+6003176282445,NA
+6003059385128,Ecotourism
+6003473371887,Laptop
+6003129670317,Road
+6003527958598,Romance (love)
+6002867416222,Ethnic groups
+6003311232399,Lifestyle (sociology)
+6015012055186,Facebook for Every Phone
+6003108826384,Music festivals
+6003104445629,Rock and roll
+6004675264764,Uber (company)
+6003092882217,Trucks
+6003043300715,Summer
+6003327856180,Cable television
+6003326336406,Brain
+6003490534631,Social group
+6003384052032,Hunting
+6003434692170,Automotive industry
+6003106813190,Fiction books
+6003304550260,NA
+6003274262708,Word
+6003393938731,Vegetable
+6003124841258,World music
+6003142860247,Power (social and political)
+6003226755338,High school
+6003209938872,FC Barcelona
+6003232228485,Paradise
+6003147437665,Gadget
+6.00316135048e+12,
+6.00356739512e+12,
+6003309820509,Reggae
+6003031487607,Ship commissioning
+6003116939014,Holiday
+6003126215349,Comics
+6005152232190,Samsung Galaxy
+6003202447322,IPad
+6003487236586,Data
+6003232334885,Airport
+6003146729229,Distilled beverage
+6003311493199,Town
+6002964038517,International
+6003343520028,Wi-Fi
+6003281049823,Jacket
+6003106820190,Open-source software
+6003348031541,Pro-Ject
+6003317881341,Tool
+6003133351739,Hindi
+6003279717423,Geography
+6003266266843,Fashion design
+6002989257394,Lunch
+6003528059395,Rock (geology)
+6003535157273,Adventure film
+6002990245194,Professional
+6003423445340,Mobile device
+6003377455004,London
+6003481546864,Track and field
+6003704710113,Real-time strategy
+6003324427177,Space
+6002951587955,Classical music
+6003402532547,Cycling
+6002868910910,Organic food
+6003270522085,The Walt Disney Company
+6003711607516,Metre
+6002976437521,Payment
+6003136385750,Nation
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+6.00310253084e+12,
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+6.00378002525e+12,
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+6.00339516514e+12,
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+6.00365606308e+12,
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+6.00326743911e+12,
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+6.00316293143e+12,
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+6.00296715069e+12,
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+6.00321818878e+12,
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diff --git a/src/data_processing/check_interest_id_valid.py b/src/data_processing/check_interest_id_valid.py
new file mode 100644
index 0000000..ab4f04b
--- /dev/null
+++ b/src/data_processing/check_interest_id_valid.py
@@ -0,0 +1,234 @@
+# -*- coding: utf-8 -*-
+"""
+Query Facebook for top interest IDs to determine if/how they have changed.
+
+@author: stewart
+"""
+import json
+from argparse import ArgumentParser
+from src.data_processing.utils import load_facebook_auth
+import requests
+from time import sleep
+import pandas as pd
+import logging
+import os
+import math
+
+## suppress request INFO messages
+logging.getLogger("requests").setLevel(logging.WARNING)
+
+MAX_QUERIES=10
+SLEEP_TIME=1
+RATE_LIMIT_SLEEP_TIME=300
+def interest_name_query(access_token, user_id, interest_id):
+    """
+    Query FB for name of interest given the ID.
+    
+    access_token :: FB access token
+    user_id :: FB user ID
+    interest_id :: interest ID number
+    
+    interest_name :: name of interest
+    """
+    header_url = 'https://graph.facebook.com/v2.11/act_%s/targetingsentencelines'%(user_id)
+    targeting_spec={
+            "geo_locations" :
+                {
+                        "countries":["US"],
+                        "location_types":["home"]
+                },
+            "flexible_spec":
+                [
+                        {
+                                "interests":
+                                    [
+                                            {
+                                                    "id" : interest_id
+                                            }
+                                    ]
+                        }
+                ]
+                  }
+    params = {
+            'access_token' : access_token,
+            'optimize_for' : 'NONE',
+            'targeting_spec' : json.dumps(targeting_spec)
+            }
+    full_header_url = 'https://graph.facebook.com/v2.11/act_%s/targetingsentencelines?access_token=%s&_reqName=adaccount/targetingsentencelines&method=get&targeting_spec={"geo_locations":{"countries":["US"],"location_types":["home"]},"flexible_spec":[{"interests":[{"id":"%s"}]}],"targeting_optimization":"none"}'%(user_id, access_token, interest_id)
+    success = False
+    query_ctr = 0
+    interest_name = ''
+    while(not success and query_ctr < MAX_QUERIES):
+        try:
+            # the official way to call the API
+#            response = requests.get(header_url, params=params)
+            # the hacky way to call the API (might get around rate limits)
+            response = requests.get(full_header_url)
+            response_json = json.loads(response.text)
+            if('error' in response_json):
+                error_code = response_json['error']['code']
+                ## rate limit error
+                if(error_code == 17):
+                    print('rate limit reached at id=%d, sleeping for %d seconds'%(interest_id, RATE_LIMIT_SLEEP_TIME))
+                    sleep(RATE_LIMIT_SLEEP_TIME)
+                    success = True
+            else:
+                response_data = response_json['targetingsentencelines']
+                if(len(response_data) > 3):
+                    interest_data = response_data[3]['children']
+                    interest_name = interest_data[0]
+                    interest_name = interest_name.replace('Interests: ', '')
+                success = True
+                sleep(SLEEP_TIME*.25)
+        except Exception, e:
+
+            print(response_json)
+            print('bad params:%s'%(json.dumps(params, indent=4)))
+            print(e)
+            query_ctr += 1
+            sleep(SLEEP_TIME)
+    return interest_name
+
+def interest_name_query_batch(access_token, user_id, interest_ids):
+    """
+    Query batch of interest IDs for more efficient access.
+    
+    access_token :: FB access token
+    user_id :: FB user ID
+    interest_ids :: FB interest IDs
+    
+    interest_names :: FB interest names
+    """
+    targeting_spec={
+            "geo_locations" :
+                {
+                        "countries":["US"],
+                        "location_types":["home"]
+                },
+            "flexible_spec":
+                [
+                        {
+                                "interests":
+                                    [
+                                            {
+                                                    "id" : interest_id
+                                            }
+                                    ]
+                        }
+                        for interest_id in interest_ids
+                ]
+                  }
+    params = {
+            'access_token' : access_token,
+            'optimize_for' : 'NONE',
+            'targeting_spec' : json.dumps(targeting_spec)
+            }
+    header_url = 'https://graph.facebook.com/v2.11/act_%s/targetingsentencelines'%(user_id)
+    success = False
+    query_ctr = 0
+    interest_names = []
+    while(not success and query_ctr < MAX_QUERIES):
+        try:
+            # the official way to call the API
+            response = requests.get(header_url, params=params)
+            response_json = json.loads(response.text)
+            if('error' in response_json):
+                error_code = response_json['error']['code']
+                ## rate limit error
+                if(error_code == 17):
+                    print('rate limit reached at id=%d, sleeping for %d seconds'%(interest_id, RATE_LIMIT_SLEEP_TIME))
+                    sleep(RATE_LIMIT_SLEEP_TIME)
+                    success = True
+            else:
+                response_data = response_json['targetingsentencelines']
+                response_data_matches = filter(lambda x: x['content']=='People Who Match:' or x['content']=='And Must Also Match:', 
+                                               response_data)
+                interest_names = [m['children'][0].replace('Interests: ','') 
+                                  for m in response_data_matches]
+                success = True
+                sleep(SLEEP_TIME*.25)
+        except Exception, e:
+            print(response_json)
+            print('bad params:%s'%(json.dumps(params, indent=4)))
+            print(e)
+            query_ctr += 1
+            sleep(SLEEP_TIME)
+    return interest_names
+
+def query_test():
+    """
+    Unit test for interest ID queries.
+    """
+    access_token, user_id = load_facebook_auth('data/facebook_auth_ingmar.csv')
+    interest_id_1 = 6003221234467 # Mexico City
+    interest_name_1 = interest_name_query(access_token, user_id, interest_id_1)
+    print(interest_name_1)
+    assert interest_name_1 == 'Mexico City'
+    interest_id_2 = 6002964065372 # Lewis and Clark-class dry cargo ship => ID doesn't work
+    interest_name_2 = interest_name_query(access_token, user_id, interest_id_2)
+    print(interest_name_2)
+    assert interest_name_2 == 'Off' or interest_name_2 == ''
+    print('query test success')
+
+def main():
+    parser = ArgumentParser()
+    parser.add_argument('--interest_file', default='data/top_interests_complete.json')
+    args = parser.parse_args()
+    interest_file = args.interest_file
+    interest_ids, interest_names = zip(*[(long(i['id']), i['name']) 
+                                         for i in json.load(open(interest_file))['data']])
+    access_token, user_id = load_facebook_auth()
+#    interest_ids = interest_ids[:10]
+#    query_test()
+    
+    ## old approach: collect names for all IDs
+    ## collect name data
+#    interest_data = pd.DataFrame()
+#    out_file = interest_file.replace('.json', '_names.csv')
+#    if(os.path.exists(out_file)):
+#        interest_data = pd.read_csv(out_file, sep=',', index_col=False)
+#        interest_ids = filter(lambda x: x not in interest_data.loc[:, 'interest_id'].values, interest_ids)
+#    write_out_count = 10
+#    for i, interest_id in enumerate(interest_ids):
+#        interest_name = interest_name_query(access_token, user_id, interest_id)
+#        interest_data = interest_data.append([[interest_id, interest_name]])
+#        if(interest_data.shape[0] == 1):
+#            interest_data.columns = ['interest_name', 'interest_id']
+#        if(i % write_out_count == 0):
+#            interest_data.to_csv(out_file, sep=',', index=False, encoding='utf-8')
+#        if(i % 100 == 0):
+#            print('processed %d interests'%(i))
+    
+    ## new approach: collect all ids and names but
+    ## mark the invalid ones based on whether 
+    ## their names are missing from results
+    batch_size = 25
+#    cutoff = 75
+#    interest_ids = interest_ids[:cutoff]
+#    interest_names = interest_names[:cutoff]
+    interest_data = pd.DataFrame()
+    out_file = interest_file.replace('.json', '_names.csv')
+    if(os.path.exists(out_file)):
+        interest_data = pd.read_csv(out_file, sep=',', index_col=False)
+        interest_id_names = zip(interest_ids, interest_names)
+        interest_ids, interest_names = zip(*filter(lambda x: x[0] not in interest_data.loc[:, 'interest_id'].values, interest_id_names))
+    interest_data_cols = ['interest_id', 'interest_name']
+    batches = int(math.ceil(len(interest_ids) / batch_size))
+    write_ctr = 5
+    for i in range(batches):
+        interest_ids_i = interest_ids[i*batch_size:(i+1)*batch_size]
+        interest_names_i = interest_names[i*batch_size:(i+1)*batch_size]
+        response_names_i = interest_name_query_batch(access_token, user_id, interest_ids_i)
+        fixed_names_i = ['NA' if x not in set(interest_names_i) else x for x in response_names_i]
+        interest_data_i = pd.DataFrame([interest_ids_i, fixed_names_i], index=interest_data_cols).transpose()
+        interest_data = interest_data.append(interest_data_i)
+        if(i % write_ctr == 0):
+            interest_data.to_csv(out_file, sep=',', index=False, encoding='utf-8')
+        if(i % 10 == 0):
+            print('processed %d interests'%(batch_size*(i+1)))
+    
+    ## write to file
+    interest_data.to_csv(out_file, sep=',', index=False, encoding='utf-8')
+    
+if __name__ == '__main__':
+    main()
\ No newline at end of file
diff --git a/src/data_processing/compare_top_interests.ipynb b/src/data_processing/compare_top_interests.ipynb
index cc11772..a295b6d 100644
--- a/src/data_processing/compare_top_interests.ipynb
+++ b/src/data_processing/compare_top_interests.ipynb
@@ -5,7 +5,9 @@
    "metadata": {},
    "source": [
     "# Compare top interests\n",
-    "In which we compare the top interests according to some old audience counts to determine the right cutoff for an initial interest analysis of US versus Mexico."
+    "In which we compare the top interests according to some old audience counts to determine the right cutoff for an initial interest analysis of US versus Mexico.\n",
+    "\n",
+    "TODO: repeat analysis with clean data"
    ]
   },
   {
@@ -14,7 +16,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import json\n",
+    "from ast import literal_eval\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -29,6 +36,32 @@
    "execution_count": 2,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "original data has 10834 rows\n",
+      "clean data has 6033 rows\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\stewart\\AppData\\Local\\Continuum\\miniconda3\\envs\\assimilation_py27\\lib\\site-packages\\pandas\\core\\indexing.py:476: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  self.obj[item] = s\n",
+      "C:\\Users\\stewart\\AppData\\Local\\Continuum\\miniconda3\\envs\\assimilation_py27\\lib\\site-packages\\pandas\\core\\indexing.py:296: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  self.obj[key] = _infer_fill_value(value)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -37,199 +70,91 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>interests</th>\n",
+       "      <th>interest_id</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>location</th>\n",
        "      <th>ages_ranges</th>\n",
-       "      <th>genders</th>\n",
        "      <th>behavior</th>\n",
-       "      <th>scholarities</th>\n",
-       "      <th>languages</th>\n",
-       "      <th>family_statuses</th>\n",
-       "      <th>relationship_statuses</th>\n",
-       "      <th>geo_locations</th>\n",
-       "      <th>household_composition</th>\n",
-       "      <th>all_fields</th>\n",
-       "      <th>targeting</th>\n",
-       "      <th>response</th>\n",
        "      <th>dau_audience</th>\n",
        "      <th>mau_audience</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>publisher_platforms</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Broad list of interest per country</td>\n",
-       "      <td>{\"or\": [6002839660079], \"name\": [\"Cosmetics\"]}</td>\n",
-       "      <td>{\"max\": 65, \"min\": 18}</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>{\"not\": [6015559470583, 6025978286383], \"name\"...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{\"values\": [\"US\"], \"location_types\": [\"home\"],...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>(('interests', {u'or': [6002839660079L], u'nam...</td>\n",
-       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": 60028...</td>\n",
-       "      <td>{\"data\":[{\"bid_estimate\":{\"min_bid\":186,\"media...</td>\n",
-       "      <td>36476999</td>\n",
-       "      <td>42000000</td>\n",
-       "      <td>1527244172</td>\n",
-       "      <td>[\"facebook\"]</td>\n",
+       "      <td>6003142505790</td>\n",
+       "      <td>Facebook</td>\n",
+       "      <td>US</td>\n",
+       "      <td>{u'max': 65, u'min': 18}</td>\n",
+       "      <td>{u'not': [6015559470583, 6025978286383], u'nam...</td>\n",
+       "      <td>68950999</td>\n",
+       "      <td>95000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>Broad list of interest per country</td>\n",
-       "      <td>{\"or\": [6002839660079], \"name\": [\"Cosmetics\"]}</td>\n",
-       "      <td>{\"max\": 65, \"min\": 18}</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>{\"not\": [6015559470583, 6025978286383], \"name\"...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{\"values\": [\"MX\"], \"location_types\": [\"home\"],...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>(('interests', {u'or': [6002839660079L], u'nam...</td>\n",
-       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": 60028...</td>\n",
-       "      <td>{\"data\":[{\"bid_estimate\":{\"min_bid\":24,\"median...</td>\n",
-       "      <td>12341999</td>\n",
-       "      <td>15000000</td>\n",
-       "      <td>1527244172</td>\n",
-       "      <td>[\"facebook\"]</td>\n",
+       "      <td>6003142505790</td>\n",
+       "      <td>Facebook</td>\n",
+       "      <td>MX</td>\n",
+       "      <td>{u'max': 65, u'min': 18}</td>\n",
+       "      <td>{u'not': [6015559470583, 6025978286383], u'nam...</td>\n",
+       "      <td>25690599</td>\n",
+       "      <td>41000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Broad list of interest per country</td>\n",
-       "      <td>{\"or\": [6002866718622], \"name\": [\"Science\"]}</td>\n",
-       "      <td>{\"max\": 65, \"min\": 18}</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>{\"not\": [6015559470583, 6025978286383], \"name\"...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{\"values\": [\"US\"], \"location_types\": [\"home\"],...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>(('interests', {u'or': [6002866718622L], u'nam...</td>\n",
-       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": 60028...</td>\n",
-       "      <td>{\"data\":[{\"bid_estimate\":{\"min_bid\":181,\"media...</td>\n",
-       "      <td>33333599</td>\n",
-       "      <td>38000000</td>\n",
-       "      <td>1527244172</td>\n",
-       "      <td>[\"facebook\"]</td>\n",
+       "      <td>6003985771306</td>\n",
+       "      <td>Technology</td>\n",
+       "      <td>US</td>\n",
+       "      <td>{u'max': 65, u'min': 18}</td>\n",
+       "      <td>{u'not': [6015559470583, 6025978286383], u'nam...</td>\n",
+       "      <td>85469999</td>\n",
+       "      <td>111000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Broad list of interest per country</td>\n",
-       "      <td>{\"or\": [6002866718622], \"name\": [\"Science\"]}</td>\n",
-       "      <td>{\"max\": 65, \"min\": 18}</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>{\"not\": [6015559470583, 6025978286383], \"name\"...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{\"values\": [\"MX\"], \"location_types\": [\"home\"],...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>(('interests', {u'or': [6002866718622L], u'nam...</td>\n",
-       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": 60028...</td>\n",
-       "      <td>{\"data\":[{\"bid_estimate\":{\"min_bid\":25,\"median...</td>\n",
-       "      <td>9114599</td>\n",
-       "      <td>11000000</td>\n",
-       "      <td>1527244172</td>\n",
-       "      <td>[\"facebook\"]</td>\n",
+       "      <td>6003985771306</td>\n",
+       "      <td>Technology</td>\n",
+       "      <td>MX</td>\n",
+       "      <td>{u'max': 65, u'min': 18}</td>\n",
+       "      <td>{u'not': [6015559470583, 6025978286383], u'nam...</td>\n",
+       "      <td>27557599</td>\n",
+       "      <td>38000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Broad list of interest per country</td>\n",
-       "      <td>{\"or\": [6002867432822], \"name\": [\"Beauty\"]}</td>\n",
-       "      <td>{\"max\": 65, \"min\": 18}</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>{\"not\": [6015559470583, 6025978286383], \"name\"...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{\"values\": [\"US\"], \"location_types\": [\"home\"],...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>(('interests', {u'or': [6002867432822L], u'nam...</td>\n",
-       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": 60028...</td>\n",
-       "      <td>{\"data\":[{\"bid_estimate\":{\"min_bid\":181,\"media...</td>\n",
-       "      <td>64280799</td>\n",
-       "      <td>76000000</td>\n",
-       "      <td>1527244172</td>\n",
-       "      <td>[\"facebook\"]</td>\n",
+       "      <td>6003349442621</td>\n",
+       "      <td>Entertainment</td>\n",
+       "      <td>US</td>\n",
+       "      <td>{u'max': 65, u'min': 18}</td>\n",
+       "      <td>{u'not': [6015559470583, 6025978286383], u'nam...</td>\n",
+       "      <td>89765399</td>\n",
+       "      <td>123000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                 name  \\\n",
-       "0  Broad list of interest per country   \n",
-       "1  Broad list of interest per country   \n",
-       "2  Broad list of interest per country   \n",
-       "3  Broad list of interest per country   \n",
-       "4  Broad list of interest per country   \n",
-       "\n",
-       "                                        interests             ages_ranges  \\\n",
-       "0  {\"or\": [6002839660079], \"name\": [\"Cosmetics\"]}  {\"max\": 65, \"min\": 18}   \n",
-       "1  {\"or\": [6002839660079], \"name\": [\"Cosmetics\"]}  {\"max\": 65, \"min\": 18}   \n",
-       "2    {\"or\": [6002866718622], \"name\": [\"Science\"]}  {\"max\": 65, \"min\": 18}   \n",
-       "3    {\"or\": [6002866718622], \"name\": [\"Science\"]}  {\"max\": 65, \"min\": 18}   \n",
-       "4     {\"or\": [6002867432822], \"name\": [\"Beauty\"]}  {\"max\": 65, \"min\": 18}   \n",
-       "\n",
-       "   genders                                           behavior  scholarities  \\\n",
-       "0      0.0  {\"not\": [6015559470583, 6025978286383], \"name\"...           NaN   \n",
-       "1      0.0  {\"not\": [6015559470583, 6025978286383], \"name\"...           NaN   \n",
-       "2      0.0  {\"not\": [6015559470583, 6025978286383], \"name\"...           NaN   \n",
-       "3      0.0  {\"not\": [6015559470583, 6025978286383], \"name\"...           NaN   \n",
-       "4      0.0  {\"not\": [6015559470583, 6025978286383], \"name\"...           NaN   \n",
-       "\n",
-       "   languages  family_statuses  relationship_statuses  \\\n",
-       "0        NaN              NaN                    NaN   \n",
-       "1        NaN              NaN                    NaN   \n",
-       "2        NaN              NaN                    NaN   \n",
-       "3        NaN              NaN                    NaN   \n",
-       "4        NaN              NaN                    NaN   \n",
-       "\n",
-       "                                       geo_locations  household_composition  \\\n",
-       "0  {\"values\": [\"US\"], \"location_types\": [\"home\"],...                    NaN   \n",
-       "1  {\"values\": [\"MX\"], \"location_types\": [\"home\"],...                    NaN   \n",
-       "2  {\"values\": [\"US\"], \"location_types\": [\"home\"],...                    NaN   \n",
-       "3  {\"values\": [\"MX\"], \"location_types\": [\"home\"],...                    NaN   \n",
-       "4  {\"values\": [\"US\"], \"location_types\": [\"home\"],...                    NaN   \n",
+       "     interest_id  interest_name location               ages_ranges  \\\n",
+       "0  6003142505790       Facebook       US  {u'max': 65, u'min': 18}   \n",
+       "1  6003142505790       Facebook       MX  {u'max': 65, u'min': 18}   \n",
+       "2  6003985771306     Technology       US  {u'max': 65, u'min': 18}   \n",
+       "3  6003985771306     Technology       MX  {u'max': 65, u'min': 18}   \n",
+       "4  6003349442621  Entertainment       US  {u'max': 65, u'min': 18}   \n",
        "\n",
-       "                                          all_fields  \\\n",
-       "0  (('interests', {u'or': [6002839660079L], u'nam...   \n",
-       "1  (('interests', {u'or': [6002839660079L], u'nam...   \n",
-       "2  (('interests', {u'or': [6002866718622L], u'nam...   \n",
-       "3  (('interests', {u'or': [6002866718622L], u'nam...   \n",
-       "4  (('interests', {u'or': [6002867432822L], u'nam...   \n",
+       "                                            behavior  dau_audience  \\\n",
+       "0  {u'not': [6015559470583, 6025978286383], u'nam...      68950999   \n",
+       "1  {u'not': [6015559470583, 6025978286383], u'nam...      25690599   \n",
+       "2  {u'not': [6015559470583, 6025978286383], u'nam...      85469999   \n",
+       "3  {u'not': [6015559470583, 6025978286383], u'nam...      27557599   \n",
+       "4  {u'not': [6015559470583, 6025978286383], u'nam...      89765399   \n",
        "\n",
-       "                                           targeting  \\\n",
-       "0  {\"flexible_spec\": [{\"interests\": [{\"id\": 60028...   \n",
-       "1  {\"flexible_spec\": [{\"interests\": [{\"id\": 60028...   \n",
-       "2  {\"flexible_spec\": [{\"interests\": [{\"id\": 60028...   \n",
-       "3  {\"flexible_spec\": [{\"interests\": [{\"id\": 60028...   \n",
-       "4  {\"flexible_spec\": [{\"interests\": [{\"id\": 60028...   \n",
-       "\n",
-       "                                            response  dau_audience  \\\n",
-       "0  {\"data\":[{\"bid_estimate\":{\"min_bid\":186,\"media...      36476999   \n",
-       "1  {\"data\":[{\"bid_estimate\":{\"min_bid\":24,\"median...      12341999   \n",
-       "2  {\"data\":[{\"bid_estimate\":{\"min_bid\":181,\"media...      33333599   \n",
-       "3  {\"data\":[{\"bid_estimate\":{\"min_bid\":25,\"median...       9114599   \n",
-       "4  {\"data\":[{\"bid_estimate\":{\"min_bid\":181,\"media...      64280799   \n",
-       "\n",
-       "   mau_audience   timestamp publisher_platforms  \n",
-       "0      42000000  1527244172        [\"facebook\"]  \n",
-       "1      15000000  1527244172        [\"facebook\"]  \n",
-       "2      38000000  1527244172        [\"facebook\"]  \n",
-       "3      11000000  1527244172        [\"facebook\"]  \n",
-       "4      76000000  1527244172        [\"facebook\"]  "
+       "   mau_audience  \n",
+       "0      95000000  \n",
+       "1      41000000  \n",
+       "2     111000000  \n",
+       "3      38000000  \n",
+       "4     123000000  "
       ]
      },
      "execution_count": 2,
@@ -238,16 +163,799 @@
     }
    ],
    "source": [
-    "interest_data = pd.read_csv('../../data/query_results/US_MX_native_interests_top_300.tsv', sep='\\t', index_col=False)\n",
-    "interest_data.head()\n"
+    "# collection was interrupted so we have to load the data in two parts\n",
+    "interest_data_old = pd.read_csv('../../data/query_results/US_MX_native_interests_top_3000_interest_old.csv', index_col=0)\n",
+    "interest_data_new = pd.read_csv('../../data/query_results/US_MX_native_interests_top_3000_interest_new_tmp.tsv', sep='\\t', index_col=0)\n",
+    "all_interests = json.load(open('../../data/queries/US_MX_native_interests_top_3000_interest_new.json'))\n",
+    "all_interests = pd.DataFrame([{k : v[0] for k,v in i.iteritems()} for i in all_interests['interests']])\n",
+    "all_interests.rename(columns={'or' : 'id'}, inplace=True)\n",
+    "all_interests.loc[:, 'id'] = all_interests.loc[:, 'id'].astype(long)\n",
+    "# clean up\n",
+    "def clean_interest_data(data):\n",
+    "    data.fillna(0, inplace=True)\n",
+    "    print('original data has %d rows'%(data.shape[0]))\n",
+    "    data = data[data.loc[:, 'response'] != 0]\n",
+    "    print('clean data has %d rows'%(data.shape[0]))\n",
+    "    json_cols = ['interests', 'ages_ranges', 'behavior', 'geo_locations']\n",
+    "    for c in json_cols:\n",
+    "        data.loc[:, c] = data.loc[:, c].apply(literal_eval)\n",
+    "    ## if audience hasn't been computed, figure that out\n",
+    "    data.loc[:, 'response'] = data.loc[:, 'response'].apply(json.loads)\n",
+    "    audience_vars = ['dau_audience', 'mau_audience']\n",
+    "    for v in audience_vars:\n",
+    "        v_stem = v.split('_')[0]\n",
+    "        data.loc[:, v] = data.loc[:, 'response'].apply(lambda x: x['data'][0]['estimate_%s'%(v_stem)])\n",
+    "    # assume one interest/location per query\n",
+    "    data.loc[:, 'interest_id'] = data.loc[:, 'interests'].apply(lambda x: long(x['or'][0]))\n",
+    "    data.loc[:, 'interest_name']= data.loc[:, 'interests'].apply(lambda x: x['name'][0])\n",
+    "    data.loc[:, 'location'] = data.loc[:, 'geo_locations'].apply(lambda x: x['values'][0])\n",
+    "    final_cols = ['interest_id', 'interest_name', 'location', 'ages_ranges', 'behavior'] + audience_vars\n",
+    "    data = data.loc[:, final_cols]\n",
+    "    return data\n",
+    "interest_data_combined = pd.concat([interest_data_old, interest_data_new], axis=0)\n",
+    "interest_data_combined = clean_interest_data(interest_data_combined)\n",
+    "interest_data_combined.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Some of these numbers seem abnormally low, e.g. `dau_audience=769` for US `Business and Industry`. \n",
+    "\n",
+    "What does the overall distribution look like?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xb17ab70>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x167e4e10>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(interest_data_combined.loc[:, 'dau_audience'], bins=100)\n",
+    "plt.show()\n",
+    "plt.hist(interest_data_combined.loc[:, 'mau_audience'], bins=100)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Most interests have a low count. Understandable! How about the log transformation?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x16c6f4a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xb17a198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "audience_vars = ['dau_audience', 'mau_audience']\n",
+    "for v in audience_vars:\n",
+    "    v_smooth = 1\n",
+    "    v_log = interest_data_combined.loc[:, v].apply(lambda x: pd.np.log10(x + v_smooth))\n",
+    "    plt.hist(v_log, bins=100)\n",
+    "    plt.xlabel(v)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "That's more reasonable. Most interests tend to have a daily audience size around 1,000,000 and monthly audience size around 3,000,000."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get top-k interests per country"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "location=MX, audience=dau_audience\n",
+      "                           interest_name       interest_id  dau_audience\n",
+      "0                               Hospital     6002964346117      45674787\n",
+      "1                                B O D Y     6008437398448      31250999\n",
+      "2                   Romantic comedy film     6003250002933      31250999\n",
+      "3                          nametests.com  1626452477572710      31250999\n",
+      "4                   Science fiction film     6003263279393      31250999\n",
+      "5                      Fatigue (medical)     6003705887546      31250999\n",
+      "6                                Dieting     6003327856180      31250999\n",
+      "7                                  Islam     6003301655169      31250999\n",
+      "8                                   EveR     6007635637752      31250999\n",
+      "9   Lewis and Clark-class dry cargo ship     6002964065372      31250999\n",
+      "10                          A.N.S.W.E.R.     6003207154776      31250999\n",
+      "11                                 Islam     6002949965174      30975999\n",
+      "12                             Nutrition     6003324917336      30975999\n",
+      "13                           Hairdresser     6003619634928      30975999\n",
+      "14                                  Gyms     6003355530237      30975999\n",
+      "15                    Online and offline     6003224184061      30843999\n",
+      "16                    SWFL Mobile Fusion     6003130537617      30843999\n",
+      "17                           Comedy film     6003169161534      30843999\n",
+      "18                                   Car  1518735155058940      30843999\n",
+      "19                          Christianity     6003207207886      30843999\n",
+      "20                           Real number     6003064696870      30821999\n",
+      "21                    Capital punishment     6003155195305      30821999\n",
+      "22                           Foot (unit)     6003427635077      30821999\n",
+      "23                   Kikokushijo Academy     6003089141597      30821999\n",
+      "24                           Insha'Allah     6003174303249      30821999\n",
+      "25                                Radius     6003089065016      30821999\n",
+      "26                                Weight     6003172043161      30821999\n",
+      "27                Bharatiya Janata Party     6003392691331      30821999\n",
+      "28                   Greatest hits album     6003333255697      30821999\n",
+      "29                             Back pain     6003280367097      30821999\n",
+      "..                                   ...               ...           ...\n",
+      "70                              De Clare     6003102547070      30821999\n",
+      "71                       Arabic language     6003049224044      30821999\n",
+      "72           List of districts of Turkey     6007711860133      30821999\n",
+      "73                                  Duel     6003369694735      30821999\n",
+      "74                               Porting     6003075698893      30821999\n",
+      "75                              INI file     6003375503365      30821999\n",
+      "76                         Domestication     6003075350915      30821999\n",
+      "77                     Obesity awareness     6003190733601      30821999\n",
+      "78                                Comedo     6003271115571      30821999\n",
+      "79                                  Area     6003019647129      30821999\n",
+      "80                               Booting     6003338367793      30821999\n",
+      "81                    Insomnia awareness     6003326054541      30821999\n",
+      "82                               Netizen     6003294686976      30821999\n",
+      "83                         Norm (social)     6003685688856      30821999\n",
+      "84                               Hashtag     6005094588412      30821999\n",
+      "85                              Securite     6003346725381      30821999\n",
+      "86                                Entity     6002985859168      30821999\n",
+      "87                           Ampere-hour     6003500146427      30821999\n",
+      "88                           Sunni Islam     6003179851166      30821999\n",
+      "89          Asian Football Confederation     6003288539925      30821999\n",
+      "90                        Wide Open West  1056164911066006      30433333\n",
+      "91           New Tang Dynasty Television     6003206833430      30433333\n",
+      "92                              Muhammad     6003089525070      30433333\n",
+      "93                                 Allah     6003434692170      30433333\n",
+      "94                                 Quran     6002991667568      30433333\n",
+      "95                                   Sin     6003481531469      30433333\n",
+      "96                  Ultra-prominent peak     6003044596915      30433333\n",
+      "97                 Canadian Albums Chart     6002987148194      30433333\n",
+      "98                            Entreprise     6014749604832      30433333\n",
+      "99                                Hiking     6003509171264      30433333\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=MX, audience=mau_audience\n",
+      "                           interest_name       interest_id  mau_audience\n",
+      "0                              Realidade     6016388157921      55000000\n",
+      "1                     Insomnia awareness     6003326054541      55000000\n",
+      "2                                   Area     6003019647129      55000000\n",
+      "3                                 Comedo     6003271115571      55000000\n",
+      "4                      Obesity awareness     6003190733601      55000000\n",
+      "5                          Domestication     6003075350915      55000000\n",
+      "6                               INI file     6003375503365      55000000\n",
+      "7                                Porting     6003075698893      55000000\n",
+      "8                                   Duel     6003369694735      55000000\n",
+      "9            List of districts of Turkey     6007711860133      55000000\n",
+      "10                       Arabic language     6003049224044      55000000\n",
+      "11                              De Clare     6003102547070      55000000\n",
+      "12                       Strike (attack)     6003318818048      55000000\n",
+      "13                  Elasticity (physics)     6003719449516      55000000\n",
+      "14                            Phenomenon     6003716449262      55000000\n",
+      "15                      family  planning     6003206382686      55000000\n",
+      "16                               Solidao     6003020390929      55000000\n",
+      "17                      Capsule (botany)     6004467549789      55000000\n",
+      "18                               Shut up     6003174082214      55000000\n",
+      "19                                Mosque     6003376088977      55000000\n",
+      "20                   Communist Party USA     6003326194341      55000000\n",
+      "21                          Tamil people     6003713645553      55000000\n",
+      "22                                   Bit     6003316614191      55000000\n",
+      "23                Sentence (linguistics)     6003261586275      55000000\n",
+      "24                          Inflammation     6003773683878      55000000\n",
+      "25                               Booting     6003338367793      55000000\n",
+      "26                               Netizen     6003294686976      55000000\n",
+      "27                             Infection     6003116224858      55000000\n",
+      "28                         Norm (social)     6003685688856      55000000\n",
+      "29                                  Muka     6012271491130      55000000\n",
+      "..                                   ...               ...           ...\n",
+      "70                                 Islam     6002949965174      55000000\n",
+      "71                          A.N.S.W.E.R.     6003207154776      55000000\n",
+      "72  Lewis and Clark-class dry cargo ship     6002964065372      55000000\n",
+      "73                                  EveR     6007635637752      55000000\n",
+      "74                                 Islam     6003301655169      55000000\n",
+      "75                               Dieting     6003327856180      55000000\n",
+      "76                     Fatigue (medical)     6003705887546      55000000\n",
+      "77                  Science fiction film     6003263279393      55000000\n",
+      "78                         nametests.com  1626452477572710      55000000\n",
+      "79                  Romantic comedy film     6003250002933      55000000\n",
+      "80                                Weight     6003172043161      55000000\n",
+      "81                    Online and offline     6003224184061      55000000\n",
+      "82                   Greatest hits album     6003333255697      55000000\n",
+      "83                            Act-i-vate     6002973933974      55000000\n",
+      "84                             Back pain     6003280367097      55000000\n",
+      "85                           Han Chinese     6003375402241      55000000\n",
+      "86                                 Mecca     6003074586139      55000000\n",
+      "87                 Child abuse awareness     6003252602475      55000000\n",
+      "88                               Ramadan     6003122583524      55000000\n",
+      "89                                  Lakh     6003108537990      55000000\n",
+      "90  Hispanic and latino american culture     6002909517372      55000000\n",
+      "91                        Stop consonant     6003326768054      55000000\n",
+      "92                              Province     6002986710368      55000000\n",
+      "93                             Egyptians     6002996711644      55000000\n",
+      "94                       Age of majority     6003216710166      55000000\n",
+      "95                                  Lady     6016212281678      55000000\n",
+      "96                     Suicide awareness     6003343474719      55000000\n",
+      "97                              District     6003789747278      55000000\n",
+      "98                         Psychotherapy     6003331942832      55000000\n",
+      "99           Warrant Officer of the Navy     6003770178104      55000000\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=US, audience=dau_audience\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                           interest_name       interest_id  dau_audience\n",
+      "0                                  Adult     6003342807051     214388568\n",
+      "1                   Romantic comedy film     6003250002933      96655199\n",
+      "2                                B O D Y     6008437398448      96655199\n",
+      "3                      Fatigue (medical)     6003705887546      95318999\n",
+      "4                          nametests.com  1626452477572710      95318999\n",
+      "5                           A.N.S.W.E.R.     6003207154776      95318999\n",
+      "6                                  Islam     6003301655169      95318999\n",
+      "7                                   EveR     6007635637752      95318999\n",
+      "8                                Dieting     6003327856180      95318999\n",
+      "9   Lewis and Clark-class dry cargo ship     6002964065372      95318999\n",
+      "10                  Science fiction film     6003263279393      95318999\n",
+      "11                             Realidade     6016388157921      95135399\n",
+      "12                             Addiction     6003320057206      95135399\n",
+      "13                         Acne vulgaris     6003096045858      95135399\n",
+      "14                                 Allah     6003434692170      95135399\n",
+      "15                            Entreprise     6014749604832      95135399\n",
+      "16                      Canadian Hot 100     6003220019055      95135399\n",
+      "17                              Muhammad     6003089525070      95135399\n",
+      "18                                   Sin     6003481531469      95135399\n",
+      "19                                 Quran     6002991667568      95135399\n",
+      "20                            Screenshot     6002992656594      95135399\n",
+      "21                  Ultra-prominent peak     6003044596915      95135399\n",
+      "22                 Canadian Albums Chart     6002987148194      95135399\n",
+      "23                        Wide Open West  1056164911066006      95135399\n",
+      "24                                Hiking     6003509171264      95135399\n",
+      "25           New Tang Dynasty Television     6003206833430      95135399\n",
+      "26               Mystery meat navigation     6003213034178      95135399\n",
+      "27                                  Muka     6012271491130      95135399\n",
+      "28                                 Mecca     6003074586139      95104799\n",
+      "29                             Egyptians     6002996711644      95104799\n",
+      "..                                   ...               ...           ...\n",
+      "70                              INI file     6003375503365      94890599\n",
+      "71                            Phenomenon     6003716449262      94890599\n",
+      "72                           Sunni Islam     6003179851166      94890599\n",
+      "73                          Tamil people     6003713645553      94890599\n",
+      "74                              De Clare     6003102547070      94890599\n",
+      "75                   Communist Party USA     6003326194341      94829399\n",
+      "76                             Infection     6003116224858      94829399\n",
+      "77                            Act-i-vate     6002973933974      94829399\n",
+      "78                              Province     6002986710368      94829399\n",
+      "79                        Stop consonant     6003326768054      94829399\n",
+      "80                               Ramadan     6003122583524      94829399\n",
+      "81                                Entity     6002985859168      94829399\n",
+      "82                           Ampere-hour     6003500146427      94829399\n",
+      "83                Bharatiya Janata Party     6003392691331      94829399\n",
+      "84                          Inflammation     6003773683878      94829399\n",
+      "85                              Securite     6003346725381      94829399\n",
+      "86                                Mosque     6003376088977      94829399\n",
+      "87                               Hashtag     6005094588412      94798799\n",
+      "88                      family  planning     6003206382686      94798799\n",
+      "89                     Obesity awareness     6003190733601      94798799\n",
+      "90           List of districts of Turkey     6007711860133      94798799\n",
+      "91                       Arabic language     6003049224044      94798799\n",
+      "92                                   Ton     6003236109649      94798799\n",
+      "93                               Hotline     6003394869731      94798799\n",
+      "94                                 Zumba     6003369521274      94696799\n",
+      "95                                 Islam     6002949965174      94523399\n",
+      "96                             Nutrition     6003324917336      94523399\n",
+      "97                                  Gyms     6003355530237      94523399\n",
+      "98                           Hairdresser     6003619634928      94523399\n",
+      "99                    Online and offline     6003224184061      94156199\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=US, audience=mau_audience\n",
+      "                           interest_name       interest_id  mau_audience\n",
+      "0                        Arabic language     6003049224044     153000000\n",
+      "1                     Insomnia awareness     6003326054541     153000000\n",
+      "2                         Stop consonant     6003326768054     153000000\n",
+      "3                               Province     6002986710368     153000000\n",
+      "4                             Act-i-vate     6002973933974     153000000\n",
+      "5                              Infection     6003116224858     153000000\n",
+      "6                    Communist Party USA     6003326194341     153000000\n",
+      "7                               De Clare     6003102547070     153000000\n",
+      "8                           Tamil people     6003713645553     153000000\n",
+      "9                            Sunni Islam     6003179851166     153000000\n",
+      "10                            Phenomenon     6003716449262     153000000\n",
+      "11                              INI file     6003375503365     153000000\n",
+      "12                Hypertension Awareness     6003353464651     153000000\n",
+      "13                       Strike (attack)     6003318818048     153000000\n",
+      "14                 Discipline (academia)     6008583400135     153000000\n",
+      "15                           Han Chinese     6003375402241     153000000\n",
+      "16                               Shut up     6003174082214     153000000\n",
+      "17                                  Duel     6003369694735     153000000\n",
+      "18                             Back pain     6003280367097     153000000\n",
+      "19                           Insha'Allah     6003174303249     153000000\n",
+      "20                              District     6003789747278     153000000\n",
+      "21                              Appetite     6003271017885     153000000\n",
+      "22                 Child abuse awareness     6003252602475     153000000\n",
+      "23                   Greatest hits album     6003333255697     153000000\n",
+      "24                    Capital punishment     6003155195305     153000000\n",
+      "25                               Porting     6003075698893     153000000\n",
+      "26                               Ramadan     6003122583524     153000000\n",
+      "27                                Entity     6002985859168     153000000\n",
+      "28                           Ampere-hour     6003500146427     153000000\n",
+      "29                Bharatiya Janata Party     6003392691331     153000000\n",
+      "..                                   ...               ...           ...\n",
+      "70                             Realidade     6016388157921     153000000\n",
+      "71                  Science fiction film     6003263279393     153000000\n",
+      "72  Lewis and Clark-class dry cargo ship     6002964065372     153000000\n",
+      "73                               Dieting     6003327856180     153000000\n",
+      "74                                  EveR     6007635637752     153000000\n",
+      "75                                 Islam     6003301655169     153000000\n",
+      "76                          A.N.S.W.E.R.     6003207154776     153000000\n",
+      "77                         nametests.com  1626452477572710     153000000\n",
+      "78                     Fatigue (medical)     6003705887546     153000000\n",
+      "79                               B O D Y     6008437398448     153000000\n",
+      "80                                Hiking     6003509171264     153000000\n",
+      "81               Mystery meat navigation     6003213034178     153000000\n",
+      "82                           Real number     6003064696870     153000000\n",
+      "83                                  Muka     6012271491130     153000000\n",
+      "84                         Domestication     6003075350915     153000000\n",
+      "85                               Booting     6003338367793     153000000\n",
+      "86                         Norm (social)     6003685688856     153000000\n",
+      "87                                  Area     6003019647129     153000000\n",
+      "88                               Netizen     6003294686976     153000000\n",
+      "89                            Subspecies     6003007376520     153000000\n",
+      "90                                Weight     6003172043161     153000000\n",
+      "91                Sentence (linguistics)     6003261586275     153000000\n",
+      "92                   Kikokushijo Academy     6003089141597     153000000\n",
+      "93                         Psychotherapy     6003331942832     153000000\n",
+      "94                                Radius     6003089065016     153000000\n",
+      "95                         Indian people     6003590261118     153000000\n",
+      "96                                  Lakh     6003108537990     153000000\n",
+      "97                               Message     6003306700714     153000000\n",
+      "98                     Suicide awareness     6003343474719     153000000\n",
+      "99                          Conservatism     6002969062568     153000000\n",
+      "\n",
+      "[100 rows x 3 columns]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "__main__:6: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "countries = interest_data_combined.loc[:, 'location'].unique()\n",
+    "top_k = 100\n",
+    "for c, c_data in interest_data_combined.groupby('location'):\n",
+    "    for v in audience_vars:\n",
+    "        print('location=%s, audience=%s'%(c, v))\n",
+    "        c_data.sort_values(v, inplace=True, ascending=False)\n",
+    "        c_data.index = pd.np.arange(len(c_data))\n",
+    "        print(c_data.loc[:, ['interest_name', 'interest_id', v]].head(n=top_k))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is weird. What happens if we ignore the top k% and focus on the lower tail?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "location=MX, audience=dau_audience\n",
+      "                interest_name    interest_id  dau_audience\n",
+      "108             Entertainment  6003349442621      7.461847\n",
+      "109                    Mexico  6002956937323      7.454387\n",
+      "110    Hobbies and activities  6012547807252      7.448809\n",
+      "111                Technology  6003985771306      7.440241\n",
+      "112     Business and industry  6008740787350      7.434697\n",
+      "113            Food and drink  6009248606271      7.421920\n",
+      "114      Shopping and fashion  6003167425934      7.421657\n",
+      "115                    Sports  6003269553527      7.421535\n",
+      "116       Entre Rios Province  6003117496988      7.421209\n",
+      "117                     Music  6003020834693      7.421051\n",
+      "118  Family and relationships  6012684376438      7.418743\n",
+      "119                  Facebook  6003142505790      7.409774\n",
+      "120            Social network  6003342621987      7.408803\n",
+      "121                      Food  6003266061909      7.408511\n",
+      "122      Consumer electronics  6003716669862      7.396576\n",
+      "123                    Family  6003476182657      7.384124\n",
+      "124                    Travel  6004160395895      7.380663\n",
+      "125         Instant messaging  6003045600844      7.376413\n",
+      "126                     Films  6003139266461      7.374341\n",
+      "127            Arts and music  6003029869785      7.366423\n",
+      "128        Facebook Messenger  6009177290315      7.364513\n",
+      "129                     Games  6003070856229      7.356447\n",
+      "130                      Love  6003186556105      7.351812\n",
+      "131                  Shopping  6003263791114      7.349790\n",
+      "132                   Reading  6002991736368      7.349227\n",
+      "133               Televisions  6003224441249      7.339364\n",
+      "134                Friendship  6004100985609      7.335430\n",
+      "135                 Education  6003327060545      7.332386\n",
+      "136      Facebook for Android  6003188427578      7.327400\n",
+      "137                      Time  6003329354837      7.326238\n",
+      "..                        ...            ...           ...\n",
+      "178                Mobile app  6021349682746      7.137455\n",
+      "179                     Email  6003753105091      7.136797\n",
+      "180                Photograph  6003231864010      7.136695\n",
+      "181                 Pop music  6003341579196      7.134298\n",
+      "182                     Woman  6003188098201      7.132016\n",
+      "183                     Price  6003513539242      7.130977\n",
+      "184          Spanish language  6004145239209      7.128516\n",
+      "185                 Happiness  6003582492638      7.127778\n",
+      "186                     Shoes  6003348453981      7.123930\n",
+      "187        Product (business)  6003248297213      7.123198\n",
+      "188                Motherhood  6002991239659      7.122255\n",
+      "189                Rock music  6003582732907      7.111746\n",
+      "190                   Tourism  6003430696269      7.109781\n",
+      "191                   Emotion  6003425313775      7.107969\n",
+      "192               Restaurants  6003436950375      7.103462\n",
+      "193                    Nature  6003359996821      7.099232\n",
+      "194           Home and garden  6009422452499      7.093562\n",
+      "195                      Beer  6003012461997      7.093492\n",
+      "196                 Cosmetics  6002839660079      7.092335\n",
+      "197                     Books  6003462707303      7.090011\n",
+      "198                   Culture  6003223339834      7.088738\n",
+      "199            Current events  6003290811111      7.085999\n",
+      "200                    People  6003393912731      7.075751\n",
+      "201              Credit cards  6003369782940      7.072779\n",
+      "202               Information  6004180881895      7.069165\n",
+      "203                   Cooking  6003659420716      7.064368\n",
+      "204                  Software  6005609368513      7.054827\n",
+      "205                    Imagem  6011451224265      7.052463\n",
+      "206                      Home  6003418314031      7.051862\n",
+      "207                    Coffee  6003626773307      7.039049\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=MX, audience=mau_audience\n",
+      "                  interest_name    interest_id  mau_audience\n",
+      "92                      Cooking  6003659420716      7.146128\n",
+      "93                  Viral video  6003016637329      7.146128\n",
+      "94                     Software  6005609368513      7.146128\n",
+      "95                  Information  6004180881895      7.146128\n",
+      "96                 Credit cards  6003369782940      7.146128\n",
+      "97                       People  6003393912731      7.146128\n",
+      "98                       Imagem  6011451224265      7.113943\n",
+      "99                         Home  6003418314031      7.113943\n",
+      "100                      Coffee  6003626773307      7.113943\n",
+      "101               United States  6003373017775      7.113943\n",
+      "102                  Newspapers  6004043913548      7.113943\n",
+      "103                  Journalism  6003245465167      7.113943\n",
+      "104                  Philosophy  6003082070797      7.113943\n",
+      "105                    Baseball  6003087413192      7.113943\n",
+      "106                    Medicine  6004036173148      7.079181\n",
+      "107                 Advertising  6003584163107      7.079181\n",
+      "108                     Twitter  6003464102003      7.079181\n",
+      "109                     Spotify  6002969794329      7.079181\n",
+      "110                  Basketball  6003369240775      7.079181\n",
+      "111        Application software  6003215957745      7.079181\n",
+      "112                    Learning  6003236484449      7.079181\n",
+      "113                 Electronics  6003573036687      7.079181\n",
+      "114                       Water  6003540542827      7.079181\n",
+      "115                       Earth  6003480600464      7.079181\n",
+      "116                         Day  6004110675424      7.079181\n",
+      "117                 Smartphones  6003289911338      7.041393\n",
+      "118               Hip hop music  6003225556345      7.041393\n",
+      "119                        Dogs  6003332344237      7.041393\n",
+      "120               Communication  6003734280753      7.041393\n",
+      "121                        Idea  6003116716468      7.041393\n",
+      "..                          ...            ...           ...\n",
+      "162               Hair products  6003456330903      6.995635\n",
+      "163                        Gift  6003019539929      6.995635\n",
+      "164                         Law  6003703762913      6.991226\n",
+      "165                     Coupons  6003054884732      6.986772\n",
+      "166                Homo sapiens  6003737549104      6.986772\n",
+      "167                     Cuisine  6003195797498      6.986772\n",
+      "168            Women's clothing  6011366104268      6.982271\n",
+      "169                   Jewellery  6003266225248      6.982271\n",
+      "170           Freight transport  6004034455409      6.982271\n",
+      "171            Family (biology)  6003190413105      6.977724\n",
+      "172                    Footwear  6003256793569      6.977724\n",
+      "173                       Li Ke  6003902907066      6.973128\n",
+      "174                        Skin  6003377622944      6.973128\n",
+      "175                       Being  6003414169991      6.973128\n",
+      "176           Amour (2012 film)  6009440347189      6.968483\n",
+      "177                     YouTube  6004158316095      6.968483\n",
+      "178                     Student  6003342188930      6.968483\n",
+      "179                   Furniture  6003132926214      6.968483\n",
+      "180                    Concerts  6002970406974      6.968483\n",
+      "181                        Year  6003089164592      6.963788\n",
+      "182                   Marketing  6003279598823      6.963788\n",
+      "183                 Amor (film)  6004773319873      6.963788\n",
+      "184                     Beaches  6003431201869      6.959041\n",
+      "185               Beauty salons  6003088846792      6.959041\n",
+      "186                       Money  6003100693640      6.959041\n",
+      "187                        Week  6003168601235      6.959041\n",
+      "188  Android (operating system)  6003539884903      6.954243\n",
+      "189                RCD Espanyol  6003268171536      6.954243\n",
+      "190                       Heart  6003852888852      6.954243\n",
+      "191               Popular music  6003199871665      6.954243\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=US, audience=dau_audience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "__main__:8: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                   interest_name       interest_id  dau_audience\n",
+      "94                         Zumba     6003369521274      7.976335\n",
+      "95                         Islam     6002949965174      7.975539\n",
+      "96                     Nutrition     6003324917336      7.975539\n",
+      "97                          Gyms     6003355530237      7.975539\n",
+      "98                   Hairdresser     6003619634928      7.975539\n",
+      "99            Online and offline     6003224184061      7.973849\n",
+      "100                 Christianity     6003207207886      7.973849\n",
+      "101                          Car  1518735155058940      7.973849\n",
+      "102           SWFL Mobile Fusion     6003130537617      7.973849\n",
+      "103                  Comedy film     6003169161534      7.973849\n",
+      "104         Elasticity (physics)     6003719449516      7.971443\n",
+      "105  Warrant Officer of the Navy     6003770178104      7.971443\n",
+      "106                  Foot (unit)     6003427635077      7.971443\n",
+      "107                          Bit     6003316614191      7.971443\n",
+      "108                Entertainment     6003349442621      7.953109\n",
+      "109          Entre Rios Province     6003117496988      7.933558\n",
+      "110                   Technology     6003985771306      7.931814\n",
+      "111         Shopping and fashion     6003167425934      7.927507\n",
+      "112               Food and drink     6009248606271      7.926655\n",
+      "113                        Music     6003020834693      7.920478\n",
+      "114          Sports and outdoors     6008803895164      7.912329\n",
+      "115                         Food     6003266061909      7.910549\n",
+      "116                       Sports     6003269553527      7.907654\n",
+      "117         Consumer electronics     6003716669862      7.904932\n",
+      "118                       Family     6003476182657      7.893877\n",
+      "119                      Reading     6002991736368      7.885887\n",
+      "120                       Travel     6004160395895      7.882720\n",
+      "121               Arts and music     6003029869785      7.881503\n",
+      "122                        Films     6003139266461      7.878871\n",
+      "123                        Games     6003070856229      7.876778\n",
+      "..                           ...               ...           ...\n",
+      "164                         Home     6003418314031      7.701048\n",
+      "165              Home and garden     6009422452499      7.699963\n",
+      "166                       People     6003393912731      7.697203\n",
+      "167                  Restaurants     6003436950375      7.680053\n",
+      "168                        World     6002932652762      7.678482\n",
+      "169                        Price     6003513539242      7.677567\n",
+      "170                      Cooking     6003659420716      7.671214\n",
+      "171                        Image     6003318587288      7.659005\n",
+      "172                        Dance     6003423342191      7.658908\n",
+      "173                        Books     6003462707303      7.655223\n",
+      "174                       iPhone     6002944044446      7.648526\n",
+      "175                        Li Ke     6003902907066      7.646443\n",
+      "176             Personal finance     6003143720966      7.630414\n",
+      "177              Sales promotion     6003325662688      7.625804\n",
+      "178                        House     6002986908368      7.625601\n",
+      "179           Outdoor recreation     6002985584323      7.622056\n",
+      "180                      Country     6003280762643      7.621293\n",
+      "181                    Happiness     6003582492638      7.618452\n",
+      "182                       Eating     6003000774850      7.617675\n",
+      "183                 Homo sapiens     6003737549104      7.617661\n",
+      "184                   Rock music     6003582732907      7.612292\n",
+      "185              Rings of Saturn     6003452098986      7.609381\n",
+      "186                      Sibling     6003155348505      7.603733\n",
+      "187                      Twitter     6003464102003      7.597862\n",
+      "188                    Gratitude     6003696621690      7.593654\n",
+      "189                     Learning     6003236484449      7.593131\n",
+      "190                      Emotion     6003425313775      7.586056\n",
+      "191            Freight transport     6004034455409      7.585758\n",
+      "192                   Newspapers     6004043913548      7.583346\n",
+      "193                        Brand     6003371616940      7.582372\n",
+      "\n",
+      "[100 rows x 3 columns]\n",
+      "location=US, audience=mau_audience\n",
+      "            interest_name    interest_id  mau_audience\n",
+      "88                Twitter  6003464102003      7.662758\n",
+      "89                 Eating  6003000774850      7.662758\n",
+      "90                  House  6002986908368      7.662758\n",
+      "91           Homo sapiens  6003737549104      7.653213\n",
+      "92               Learning  6003236484449      7.653213\n",
+      "93             Newspapers  6004043913548      7.653213\n",
+      "94    Facebook for Iphone  6003146344026      7.653213\n",
+      "95        Rings of Saturn  6003452098986      7.653213\n",
+      "96      Freight transport  6004034455409      7.643453\n",
+      "97                Sibling  6003155348505      7.643453\n",
+      "98                  Brand  6003371616940      7.643453\n",
+      "99       Higher education  6003270811593      7.643453\n",
+      "100               Emotion  6003425313775      7.643453\n",
+      "101             Gratitude  6003696621690      7.633468\n",
+      "102                  Dogs  6003332344237      7.633468\n",
+      "103  Facebook for Android  6003188427578      7.633468\n",
+      "104             Cosmetics  6002839660079      7.623249\n",
+      "105                  Week  6003168601235      7.623249\n",
+      "106                Infant  6003323844497      7.623249\n",
+      "107     Physical exercise  6004115167424      7.612784\n",
+      "108        Current events  6003290811111      7.612784\n",
+      "109                Imagem  6011451224265      7.612784\n",
+      "110     American football  6003376089674      7.612784\n",
+      "111             Celebrity  6003659729907      7.612784\n",
+      "112               Husband  6003185207265      7.602060\n",
+      "113                  Wife  6003681763690      7.602060\n",
+      "114            Fatherhood  6003101323797      7.602060\n",
+      "115               Coupons  6003054884732      7.602060\n",
+      "116                 Money  6003100693640      7.602060\n",
+      "117                 Shoes  6003348453981      7.602060\n",
+      "..                    ...            ...           ...\n",
+      "158               Culture  6003223339834      7.531479\n",
+      "159                   Law  6003703762913      7.531479\n",
+      "160              Football  6003107902433      7.531479\n",
+      "161               Tourism  6003430696269      7.531479\n",
+      "162             Pregnancy  6003448254625      7.518514\n",
+      "163            Basketball  6003369240775      7.518514\n",
+      "164      Physical fitness  6003277229371      7.518514\n",
+      "165                Coffee  6003626773307      7.518514\n",
+      "166                Career  6003165927235      7.518514\n",
+      "167                Animal  6003358328204      7.518514\n",
+      "168      TV reality shows  6003268182136      7.518514\n",
+      "169                 Earth  6003480600464      7.518514\n",
+      "170               Company  6003140995966      7.518514\n",
+      "171                   Man  6003166733615      7.505150\n",
+      "172          Music videos  6003332483177      7.505150\n",
+      "173                 Sleep  6002989170450      7.505150\n",
+      "174               Reality  6004034262609      7.505150\n",
+      "175                   Eye  6003336334689      7.505150\n",
+      "176               Kitchen  6002897751962      7.491362\n",
+      "177              Baseball  6003087413192      7.491362\n",
+      "178         Country music  6003493980595      7.491362\n",
+      "179               Therapy  6003132914528      7.491362\n",
+      "180               Recipes  6003385609165      7.491362\n",
+      "181               Colours  6003201804413      7.491362\n",
+      "182              Gambling  6003012317397      7.491362\n",
+      "183                  Wish  6003653599438      7.491362\n",
+      "184             Gardening  6003053056644      7.477121\n",
+      "185              Research  6003717890746      7.477121\n",
+      "186             Marketing  6003279598823      7.477121\n",
+      "187           Real estate  6003578086487      7.477121\n",
+      "\n",
+      "[100 rows x 3 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pct = 97\n",
+    "top_k = 100\n",
+    "for c, c_data in interest_data_combined.groupby('location'):\n",
+    "    for v in audience_vars:\n",
+    "        # log-transform\n",
+    "        c_data.loc[:, v] = pd.np.log10(c_data.loc[:, v] + 1)\n",
+    "        print('location=%s, audience=%s'%(c, v))\n",
+    "        c_data.sort_values(v, inplace=True, ascending=False)\n",
+    "        c_data.index = pd.np.arange(len(c_data))\n",
+    "        # cut off upper percentile\n",
+    "        v_cutoff = pd.np.percentile(c_data.loc[:, v], pct)\n",
+    "        c_data = c_data[c_data.loc[:, v] < v_cutoff]\n",
+    "        print(c_data.loc[:, ['interest_name', 'interest_id', v]].head(n=top_k))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This looks good enough for a first shot. Let's save to file with the monthly audience counts."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "location=US, audience=mau_audience\n",
+      "location=MX, audience=mau_audience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "__main__:11: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "locations = ['US', 'MX']\n",
+    "audience_var = 'mau_audience'\n",
+    "top_k = 500\n",
+    "for l in locations:\n",
+    "    l_data = interest_data_combined[interest_data_combined.loc[:, 'location'] == l]\n",
+    "    pct = 97\n",
+    "    # log-transform\n",
+    "    log_audience_var = 'log_%s'%(audience_var)\n",
+    "    l_data.loc[:, log_audience_var] = pd.np.log10(l_data.loc[:, audience_var] + 1)\n",
+    "    print('location=%s, audience=%s'%(l, audience_var))\n",
+    "    l_data.sort_values(log_audience_var, inplace=True, ascending=False)\n",
+    "    l_data.index = pd.np.arange(len(l_data))\n",
+    "    # cut off upper percentile\n",
+    "    v_cutoff = pd.np.percentile(l_data.loc[:, log_audience_var], pct)\n",
+    "    l_data_k = l_data[l_data.loc[:, log_audience_var] < v_cutoff].head(n=top_k)\n",
+    "    l_file = '../../data/query_results/%s_top_%d_%s.csv'%(l, top_k, audience_var)\n",
+    "    l_data_k.loc[:, ['interest_name', audience_var]].to_csv(l_file, sep=',', index=False, encoding='utf-8')"
+   ]
   }
  ],
  "metadata": {
diff --git a/src/data_processing/mine_facebook_audience.py b/src/data_processing/mine_facebook_audience.py
index debae70..877481b 100644
--- a/src/data_processing/mine_facebook_audience.py
+++ b/src/data_processing/mine_facebook_audience.py
@@ -27,21 +27,25 @@ def main():
     extra_auth_files = ['data/facebook_auth_ingmar.csv']
 #    extra_auth_files = ['data/facebook_auth.csv',]*2
     
-    ## optional: remove interest IDs that we've already queried
-    response_file = 'dataframe_collecting_1527334686.csv'
-    responses = pd.read_csv(response_file, index_col=0).fillna(0, inplace=False)
-    responses_valid = responses[responses.loc[:, 'response'] != 0]
-    response_ids = list(set(responses_valid.loc[:, 'interests'].apply(lambda x: literal_eval(x)['or'][0])))
-    queries = json.load(open(query_file))
-    leftover_query = queries.copy()
-    leftover_query['interests'] = [i for i in leftover_query['interests'] if long(i['or'][0]) not in response_ids]
-    tmp_query_file = query_file.replace('.json', '_tmp.json')
+    ## temporary: remove interest IDs that we've already queried
+#    response_file = 'dataframe_collecting_1527334686.csv'
+#    responses = pd.read_csv(response_file, index_col=0).fillna(0, inplace=False)
+#    responses_valid = responses[responses.loc[:, 'response'] != 0]
+#    response_ids = list(set(responses_valid.loc[:, 'interests'].apply(lambda x: literal_eval(x)['or'][0])))
+#    queries = json.load(open(query_file))
+#    leftover_query = queries.copy()
+#    leftover_query['interests'] = [i for i in leftover_query['interests'] if long(i['or'][0]) not in response_ids]
+#    tmp_query_file = query_file.replace('.json', '_tmp.json')
 #    print(tmp_query_file)
-    json.dump(leftover_query, open(tmp_query_file, 'w'), indent=4)
+#    json.dump(leftover_query, open(tmp_query_file, 'w'), indent=4)
     
-    query_and_write(tmp_query_file, out_dir, extra_auth_files=extra_auth_files)
+    query_and_write(query_file, out_dir, extra_auth_files=extra_auth_files)
 #    query_and_write(query_file, out_dir, extra_auth_files=extra_auth_files)
 #    query_and_write(query_file, out_dir, extra_auth_files=extra_auth_files, response_file=response_file)
+    ## TODO: periodically copy response to server 
+    ## so we can tell when something goes
+    ## wrong even if we're not on the same machine
+    ## solution: cronjob
     
 if __name__ == '__main__':
     main()
\ No newline at end of file