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eoa-impact/impactnotebook.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": false
},
"source": [
"# Analysis and visualization of impact areas\n",
"\n",
"This notebook re-uses the method explained in the DARIAH-DE Working Paper \"Impact and Usability for digital humanities research infrastructures\" (http://nbn-resolving.de/urn:nbn:de:gbv:7-dariah-2019-6-4) and the accompanying notebooks and data. In this case the questionnaire is not the one of the DARIAH-DE working group Service Life Cycle, but the recommendations by the working group of German university publishers (AG Universitätsverlage, https://blog.bibliothek.kit.edu/ag_univerlage/) for open access monographs (http://blog.bibliothek.kit.edu/ag_univerlage/wp-content/uploads/2018/09/Anforderungen-an-OA-Monografien_ag_universitaetsverlage_20180904.pdf). Like the original version, the study was carried out using Excel-Tables, which are loaded and processed below. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Besides the standard Python libraries, make sure to install the following packages:\n",
"- pandas\n",
"- numpy\n",
"- matplotlib\n",
"- xlrd\n",
"\n",
"xlrd is used by pandas to read the Excel file"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib\n",
"import re\n",
"from collections import Counter"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def colorList(dataframe, column):\n",
" \"\"\"Provide sorted dataframe and column containing numerical data.\"\"\"\n",
" values = dataframe[column].apply(lambda row: row/dataframe[column].max())\n",
" cmap = matplotlib.cm.get_cmap('viridis')\n",
" colors = [cmap(x) for x in values]\n",
" return colors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The excel table is loaded from the git repository. The relevant data is located on the first three sheets."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"df_allSheets = pd.read_excel('https://github.molgen.mpg.de/EditionOpenAccess/eoa-impact/raw/master/daten.xlsx',sheet_name=[0,1,2])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Focus on attributes of the AG Universitätsverlage"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first sheet contains the criteria of the working group. The columns to the right show the answers by the single presses. There are only yes/no answers possible: 1 means \"yes\", 0 means \"no\"."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>Attribut AGUV Checkliste</th>\n",
" <th>EOA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <td>f2</td>\n",
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" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>f3</td>\n",
" <td>Die Veröffentlichung erscheint in allen Onlin...</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>f4</td>\n",
" <td>Die Veröffentlichung der Open-Access-Version ...</td>\n",
" <td>1</td>\n",
" </tr>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 Attribut AGUV Checkliste EOA\n",
"0 f1 Der Zugang erfolgt kostenfrei und öffentlich,... 1\n",
"1 f2 Die Veröffentlichung wird eindeutig als Open-... 1\n",
"2 f3 Die Veröffentlichung erscheint in allen Onlin... 1\n",
"3 f4 Die Veröffentlichung der Open-Access-Version ... 1"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfAttribute = df_allSheets[0]\n",
"dfAttribute.head(4)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The following table is an overview of how often a criterium was fulfilled."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"dfAttribute = dfAttribute.set_index('Attribut AGUV Checkliste').replace([True,False,np.nan],[1,0,0])\n",
"\n",
"dfAttributeDist = pd.DataFrame([x for x in zip(dfAttribute.index,dfAttribute.sum(axis=1))],columns=['AGUV Question', 'How often fullfilled'])\n",
"\n",
"dfAttributeDist = dfAttributeDist.append({'AGUV Question':'?','How often fullfilled': 0},ignore_index=True)\n",
"\n",
"align_center = dict(selector=\"th\",\n",
" props=[('text-align', 'center')])\n",
"\n",
"dfAttributeDistStyle = dfAttributeDist.style.bar(axis=0, color='lightgrey', width=80.0)\\\n",
" .set_properties(subset=['AGUV Question'],**{'width':'35em', 'text-align':'left'})\\\n",
" .set_table_styles([align_center])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
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" }</style><table id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >AGUV Question</th> <th class=\"col_heading level0 col1\" >How often fullfilled</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row0_col0\" class=\"data row0 col0\" >Der Zugang erfolgt kostenfrei und öffentlich, ohne finanzielle, rechtliche oder technische Barrieren. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row0_col1\" class=\"data row0 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row1_col0\" class=\"data row1 col0\" >Die Veröffentlichung wird eindeutig als Open-Access-Publikation gekennzeichnet. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row1_col1\" class=\"data row1 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row2_col0\" class=\"data row2 col0\" >Die Veröffentlichung erscheint in allen Online-Formaten DRM-frei als Open-Access- Publikation. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row2_col1\" class=\"data row2 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row3_col0\" class=\"data row3 col0\" >Die Veröffentlichung der Open-Access-Version erfolgt zum gleichen Zeitpunkt wie die der evtl. parallelen Printversion. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row3_col1\" class=\"data row3 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row4_col0\" class=\"data row4 col0\" >Die Pflichtabgabe der Print- und Onlineausgabe an die Deutsche Nationalbibliothek sowie an die jeweilige Landesbibliothek werden gewährleistet. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row4_col1\" class=\"data row4 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row5_col0\" class=\"data row5 col0\" >Neben dem Nachweis in der DNB werden Open-Access-Publikationen in entsprechenden Datenbanken wie OAPEN und DOAB nachgewiesen. Darüber hinaus wird eine möglichst hohe Verbreitung und Sichtbarkeit über den Nachweis in weiteren Datenbanken wie JSTOR, MUSE, Fachdatenbanken oder Discovery Services angestrebt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row5_col1\" class=\"data row5 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row6_col0\" class=\"data row6 col0\" >Ggf. zugehörige Forschungsdaten und andere Materialien werden auf einem geeigneten Repositorium archiviert und in der Publikation verlinkt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row6_col1\" class=\"data row6 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row7_col0\" class=\"data row7 col0\" >Die Open-Access-Version der Publikation wird auf der Webseite des Verlags gut sichtbar zugänglich gemacht, zusammen mit den jeweils kostenpflichtigen Versionen. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row7_col1\" class=\"data row7 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row8_col0\" class=\"data row8 col0\" >Die Langzeitarchivierung wird gewährleistet. Der Verlag kooperiert dazu mit einem zertifizierten Dienst (z. B. DNB, Portico). </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row8_col1\" class=\"data row8 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row9_col0\" class=\"data row9 col0\" >Text und Data Mining (TDM) sind gestattet. Dies umfasst das automatische Herunterladen, Extrahieren und Indexieren der Volltexte. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row9_col1\" class=\"data row9 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row10_col0\" class=\"data row10 col0\" >Autor*innen und Herausgeber*innen räumen dem Verlag einfache Nutzungsrechte ein und behalten damit das Recht, auch anderen Parteien einfache Nutzungsrechte einzuräumen und die Publikation oder Teile daraus auch an anderer Stelle zu veröffentlichen. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row10_col1\" class=\"data row10 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row11_col0\" class=\"data row11 col0\" >Die Autor*innen und Herausgeber*innen räumen der Allgemeinheit durch die Vergabe einer Open-Access-konformen Creative-Commons-Lizenz (CC BY oder CC BY-SA) umfangreiche Nutzungsrechte ein. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row11_col1\" class=\"data row11 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row12_col0\" class=\"data row12 col0\" >Die Rechte an Abbildungen und anderen Fremdmaterialen, die unter Rechten Dritter stehen, sind geklärt und klar ausgewiesen. Sie behindern nach Möglichkeit nicht die Zurverfügungstellung des Gesamtwerks unter einer Creative-Commons-Lizenz. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row12_col1\" class=\"data row12 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row13_col0\" class=\"data row13 col0\" >Rechteinformationen sind in Textform im Impressum enthalten und in der Datei maschinenlesbar eingebettet. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row13_col1\" class=\"data row13 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row14_col0\" class=\"data row14 col0\" >Zur wissenschaftlichen Prüfung wird ein Peer-Review- bzw. Begutachtungsverfahren eingesetzt, das den fachüblichen Standards entspricht. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row14_col1\" class=\"data row14 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row15_col0\" class=\"data row15 col0\" >Informationen zu den Auswahl- und Begutachtungskriterien des Verlages sind öffentlich zugänglich. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row15_col1\" class=\"data row15 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row16_col0\" class=\"data row16 col0\" >Es besteht Offenheit für neue, innovative Formen der Qualitätssicherung, z. B. Open Peer Review. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row16_col1\" class=\"data row16 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row17_col0\" class=\"data row17 col0\" >Die Publikationen werden in mindestens einem zur Langzeitarchivierung geeigneten Dateiformat veröffentlicht (z.B. PDF/A nach ISO 19005). </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row17_col1\" class=\"data row17 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row18_col0\" class=\"data row18 col0\" >Zusätzlich wird eine Veröffentlichung in zur Weiterverarbeitung geeigneten Formaten (z.B. XML, HTML) angestrebt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row18_col1\" class=\"data row18 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row19_col0\" class=\"data row19 col0\" >Die Datei enthält Lesezeichen und möglichst vollständige Einträge bei den Dokumenteigenschaften (mind. Autor, Titel, Lizenzangaben). </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row19_col1\" class=\"data row19 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row20_col0\" class=\"data row20 col0\" >Die Publikationen können zusätzlich als Printausgabe erstellt und verbreitet werden. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row20_col1\" class=\"data row20 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row21_col0\" class=\"data row21 col0\" >Die Metadaten sind so umfangreich wie möglich, sie enthalten mindestens: Titel, ggf. Zusatztitel, Autor*innen, Herausgeber*innen, ORCID (wenn vorhanden), Publikationsdatum, Verlag, ggf. Reihentitel und Bandnummer, Persistent Identifier, ggf. ISBN (wenn gedruckt angeboten), Creative-Commons-Attribuierung, Abstract, (freie oder einer Klassifikation entnommene) Schlagwörter. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row21_col1\" class=\"data row21 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row22_col0\" class=\"data row22 col0\" >Die Metadaten einschließlich Abstracts, Schlagwörtern und etwaigen Thumbnails der Cover werden unter der Lizenz CC0 zur Verfügung gestellt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row22_col1\" class=\"data row22 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row23_col0\" class=\"data row23 col0\" >Die Angabe der Affiliationen der beteiligten Autor*innen und Herausgeber*innen entspricht nach Möglichkeit den Anforderungen der jeweils geltenden Affiliationsrichtlinien der Institutionen. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row23_col1\" class=\"data row23 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row24_col0\" class=\"data row24 col0\" >Ggf. beteiligte Forschungsförderer (inkl. Projekt, Projekttitel, Förderkennzeichen) werden im Dokument und ggf. in den Metadaten genannt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row24_col1\" class=\"data row24 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row25_col0\" class=\"data row25 col0\" >Jede Publikation erhält als Persistent Identifier einen DOI. Andere mögliche Identifier sind ggf. URN und handle. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row25_col1\" class=\"data row25 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row26_col0\" class=\"data row26 col0\" >Die DOIs sind bei Crossref bzw. DataCite registriert. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row26_col1\" class=\"data row26 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row27_col0\" class=\"data row27 col0\" >Perspektivisch wird die Zuordnung von DOIs auch auf Kapitelebene und für Abbildungen und Tabellen vorgesehen. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row27_col1\" class=\"data row27 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row28_col0\" class=\"data row28 col0\" >Metadaten werden als CSV-Datei, idealerweise als ONIX-Feed oder einem anderen etablierten Format (Dublin Core, DataCite, Crossref), zur Verfügung gestellt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row28_col1\" class=\"data row28 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row29_col0\" class=\"data row29 col0\" >Die Metadaten werden den Bibliotheken als MARC Records bereitgestellt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row29_col1\" class=\"data row29 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row30_col0\" class=\"data row30 col0\" >Um Förderung aus öffentlichen Fonds für Open-Access-Monografien und -Sammelbände in Anspruch nehmen zu können, wird eine transparente Kalkulation vorgelegt, aus der der Anteil der OA-indizierten Kosten deutlich ersichtlich ist. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row30_col1\" class=\"data row30 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row31_col0\" class=\"data row31 col0\" >Um die Kosten einer OA-Veröffentlichung transparent zu machen, werden Informationen zum Absatz der ggf. vorhandenen parallelen Printausgabe öffentlich gemacht. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row31_col1\" class=\"data row31 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row32_col0\" class=\"data row32 col0\" >Der Verlag benennt eine/n Ansprechpartner*in für sein Open-Access-Programm.</td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row32_col1\" class=\"data row32 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row33_col0\" class=\"data row33 col0\" >Der Verlag informiert zu den Mehrwerten einer Open-Access-Veröffentlichung und berät zu Rechtsfragen und CC-Lizenzen.</td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row33_col1\" class=\"data row33 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row34_col0\" class=\"data row34 col0\" >Werbung und Marketing erfolgen über die Verlagswebseite, sonstige Verlagsmedien sowie über entsprechende Social-Media-Kanäle.</td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row34_col1\" class=\"data row34 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row35_col0\" class=\"data row35 col0\" >Besprechungen werden akquiriert und veröffentlicht. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row35_col1\" class=\"data row35 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row36_col0\" class=\"data row36 col0\" >Die Zugriffe auf die Publikationen werden nach einem etablierten Standard (COUNTER, LogEC) gezählt und zur Verfügung gestellt. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row36_col1\" class=\"data row36 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row37_col0\" class=\"data row37 col0\" >Nach Möglichkeit werden alternative Metriken eingebunden, die weitere Kennzahlen zur Nutzung und zu Reaktionen im Internet anzeigen. </td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row37_col1\" class=\"data row37 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row38_col0\" class=\"data row38 col0\" >?</td>\n",
" <td id=\"T_3dec1d60_0d19_11ea_b406_d0817aaac836row38_col1\" class=\"data row38 col1\" >0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x117ecc790>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfAttributeDistStyle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Manual work, step 1: mapping of recommendations to impact factors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The recommendations issued by the AG Universitätsverlage has to be mapped to the impact factors of the Impactomatrix. The current mapping is also stored in the Excel file on the sheet called \"AGUV Mapping\". We put the mapping up to discussion and welcome your input."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Manual work, step 2: evaluating the impact factors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We are aware that this step can also be done computationally, and code might be written for this step in the future. In this step, each factor is set to either \"1\" or \"0\" depending on whether a question that is mapped to the factor was answered with yes or no. A factor can be mapped to more than one criterium. If it is fulfilled once, the factor is set to \"1\" irrespective of how often it is still set to \"0\"."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Focus on factors of the Impactomatrix"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the next step, the factors offered by the Impactomatrix are collected."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>Impactfactors</th>\n",
" <th>EOA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>Open-source (offer)</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>Anonymity (collaboration &amp; communication)</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>Appealing layout/web surface</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 Impactfactors EOA\n",
"0 NaN Open-source (offer) 1\n",
"1 NaN Anonymity (collaboration & communication) 0\n",
"2 NaN Appealing layout/web surface 0"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfFactor = df_allSheets[1]\n",
"\n",
"dfFactor.head(3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Clean data "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Based on the Excel sheet, a matrix is created, the index being the column _Impactfactors_, the other columns show the values of the presses."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"dfFactor = dfFactor.set_index('Impactfactors').replace([True,False,np.nan],[1,0,0])"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(dfFactor.columns)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>EOA</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Impactfactors</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Open-source (offer)</th>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Anonymity (collaboration &amp; communication)</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Appealing layout/web surface</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>User support</th>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Evaluable server logs</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Operability/Usability</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Providing information and outcomes</th>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Community-Building</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dissemination of data</th>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Conservation of data</th>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 EOA\n",
"Impactfactors \n",
"Open-source (offer) 0.0 1\n",
"Anonymity (collaboration & communication) 0.0 0\n",
"Appealing layout/web surface 0.0 0\n",
"User support 0.0 1\n",
"Evaluable server logs 0.0 0\n",
"Operability/Usability 0.0 0\n",
"Providing information and outcomes 0.0 1\n",
"Community-Building 0.0 0\n",
"Dissemination of data 0.0 1\n",
"Conservation of data 0.0 0"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfFactor.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As a result, the impact factors can be plotted, showing how often they were fulfilled."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax = dfFactor.sum(axis=1).sort_values().plot.bar(color= colorList(dfFactor.sum(axis=1).sort_values().to_frame(),0))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Factors and impact areas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The third sheet of the Excel file contains the mapping of the impact factors to the impact areas."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>22 areas</th>\n",
" <th>Factor</th>\n",
" <th>Impact Area</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>Open-source (offer)</td>\n",
" <td>External Impact, Dissemination, Effectivity, F...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>Anonymity (collaboration &amp; communication)</td>\n",
" <td>Effectivity, Efficiency, Integration, Communic...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 22 areas Factor \\\n",
"0 NaN Open-source (offer) \n",
"1 NaN Anonymity (collaboration & communication) \n",
"\n",
" Impact Area \n",
"0 External Impact, Dissemination, Effectivity, F... \n",
"1 Effectivity, Efficiency, Integration, Communic... "
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfImpactAreas = df_allSheets[2]\n",
"dfImpactAreas.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"areaList = list(set([x.strip() for y in [x.split(',') for x in dfImpactAreas['Impact Area'].values] for x in y]))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Collaboration': 0,\n",
" 'Competitiveness': 0,\n",
" 'Communication': 0,\n",
" 'Funding Perspectives': 0,\n",
" 'Relevance': 0,\n",
" 'Coherence': 0,\n",
" 'External Impact': 0,\n",
" 'Sustainability': 0,\n",
" 'Transfer of Expertise': 0,\n",
" 'Innovation': 0,\n",
" 'Efficiency': 0,\n",
" 'Usage': 0,\n",
" 'Data Security / Safety': 0,\n",
" 'Transparency': 0,\n",
" 'Education': 0,\n",
" 'Integration': 0,\n",
" 'Transfer of Knowledge': 0,\n",
" 'Reputation': 0,\n",
" 'Publications': 0,\n",
" 'Effectivity': 0,\n",
" 'Dissemination': 0}"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"areaDict = {x:0 for x in areaList}\n",
"areaDict"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Unnamed: 0', 'EOA'], dtype='object')"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"toolList = dfFactor.columns\n",
"toolList[:3]"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Open-source (offer)', 'Anonymity (collaboration & communication)',\n",
" 'Appealing layout/web surface'],\n",
" dtype='object', name='Impactfactors')"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"factorList = dfFactor.index\n",
"factorList[:3]"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"dictImpactAreas = dfImpactAreas.set_index('Factor').to_dict()['Impact Area']"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tool: EOA, Faktor Software Interfaces\n"
]
}
],
"source": [
"weight = {}\n",
"\n",
"for tool in toolList:\n",
" tmpDict = areaDict.copy() #1\n",
" for factor in factorList:\n",
" if dfFactor[tool].loc[factor] != 0:\n",
" try:\n",
" areaList = [x.strip() for x in dictImpactAreas[factor].split(',') if x]\n",
" for area in areaList:\n",
" tmpDict[area] += 1\n",
" except:\n",
" print('Tool: {0}, Faktor {1}'.format(tool,factor))\n",
" pass\n",
" weight[tool] = tmpDict"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>EOA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Collaboration</th>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Competitiveness</th>\n",
" <td>0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Communication</th>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Funding Perspectives</th>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Relevance</th>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coherence</th>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>External Impact</th>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sustainability</th>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transfer of Expertise</th>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Innovation</th>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Efficiency</th>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Usage</th>\n",
" <td>0</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Data Security / Safety</th>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transparency</th>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Education</th>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Integration</th>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transfer of Knowledge</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Reputation</th>\n",
" <td>0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Publications</th>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Effectivity</th>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dissemination</th>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 EOA\n",
"Collaboration 0 9\n",
"Competitiveness 0 8\n",
"Communication 0 1\n",
"Funding Perspectives 0 5\n",
"Relevance 0 7\n",
"Coherence 0 9\n",
"External Impact 0 9\n",
"Sustainability 0 9\n",
"Transfer of Expertise 0 4\n",
"Innovation 0 7\n",
"Efficiency 0 5\n",
"Usage 0 10\n",
"Data Security / Safety 0 3\n",
"Transparency 0 9\n",
"Education 0 6\n",
"Integration 0 11\n",
"Transfer of Knowledge 0 2\n",
"Reputation 0 8\n",
"Publications 0 4\n",
"Effectivity 0 11\n",
"Dissemination 0 7"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfImpact = pd.DataFrame(weight)\n",
"dfImpact"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x11a481910>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dfImpact.sum(axis=1).sort_values().plot.bar()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=1)\n",
"dfImpact.sum(axis=1).sort_values().plot.bar(figsize=(16,8), ax=axes, \n",
" color=colorList(dfImpact.sum(axis=1).sort_values().to_frame(),0))\n",
"axes.tick_params(axis='x', labelsize=20)\n",
"fig.autofmt_xdate(rotation=40)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"dfHeatmap = dfImpact.copy()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row4_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row4_col1 {\n",
" background-color: #e3eef9;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row5_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row5_col1 {\n",
" background-color: #08306b;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row6_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row6_col1 {\n",
" background-color: #1764ab;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row7_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row7_col1 {\n",
" background-color: #94c4df;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row8_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row8_col1 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row9_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row9_col1 {\n",
" background-color: #4a98c9;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row10_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row10_col1 {\n",
" background-color: #2e7ebc;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row11_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row11_col1 {\n",
" background-color: #08306b;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row12_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row12_col1 {\n",
" background-color: #084a91;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row13_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row13_col1 {\n",
" background-color: #4a98c9;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row14_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row14_col1 {\n",
" background-color: #1764ab;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row15_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row15_col1 {\n",
" background-color: #94c4df;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row16_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row16_col1 {\n",
" background-color: #2e7ebc;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row17_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row17_col1 {\n",
" background-color: #1764ab;\n",
" color: #f1f1f1;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row18_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row18_col1 {\n",
" background-color: #4a98c9;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row19_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row19_col1 {\n",
" background-color: #b7d4ea;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row20_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" } #T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row20_col1 {\n",
" background-color: #1764ab;\n",
" color: #f1f1f1;\n",
" }</style><table id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Unnamed: 0</th> <th class=\"col_heading level0 col1\" >EOA</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row0\" class=\"row_heading level0 row0\" >Education</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row0_col0\" class=\"data row0 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row0_col1\" class=\"data row0 col1\" >6</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row1\" class=\"row_heading level0 row1\" >Data Security / Safety</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row1_col0\" class=\"data row1 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row1_col1\" class=\"data row1 col1\" >3</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row2\" class=\"row_heading level0 row2\" >Transfer of Expertise</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row2_col0\" class=\"data row2 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row2_col1\" class=\"data row2 col1\" >4</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row3\" class=\"row_heading level0 row3\" >Transparency</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row3_col0\" class=\"data row3 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row3_col1\" class=\"data row3 col1\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row4\" class=\"row_heading level0 row4\" >Transfer of Knowledge</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row4_col0\" class=\"data row4 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row4_col1\" class=\"data row4 col1\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row5\" class=\"row_heading level0 row5\" >Effectivity</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row5_col0\" class=\"data row5 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row5_col1\" class=\"data row5 col1\" >11</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row6\" class=\"row_heading level0 row6\" >Collaboration</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row6_col0\" class=\"data row6 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row6_col1\" class=\"data row6 col1\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row7\" class=\"row_heading level0 row7\" >Funding Perspectives</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row7_col0\" class=\"data row7 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row7_col1\" class=\"data row7 col1\" >5</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row8\" class=\"row_heading level0 row8\" >Communication</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row8_col0\" class=\"data row8 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row8_col1\" class=\"data row8 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row9\" class=\"row_heading level0 row9\" >Relevance</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row9_col0\" class=\"data row9 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row9_col1\" class=\"data row9 col1\" >7</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row10\" class=\"row_heading level0 row10\" >Competitiveness</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row10_col0\" class=\"data row10 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row10_col1\" class=\"data row10 col1\" >8</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row11\" class=\"row_heading level0 row11\" >Integration</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row11_col0\" class=\"data row11 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row11_col1\" class=\"data row11 col1\" >11</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row12\" class=\"row_heading level0 row12\" >Usage</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row12_col0\" class=\"data row12 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row12_col1\" class=\"data row12 col1\" >10</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row13\" class=\"row_heading level0 row13\" >Innovation</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row13_col0\" class=\"data row13 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row13_col1\" class=\"data row13 col1\" >7</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row14\" class=\"row_heading level0 row14\" >Coherence</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row14_col0\" class=\"data row14 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row14_col1\" class=\"data row14 col1\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row15\" class=\"row_heading level0 row15\" >Efficiency</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row15_col0\" class=\"data row15 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row15_col1\" class=\"data row15 col1\" >5</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row16\" class=\"row_heading level0 row16\" >Reputation</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row16_col0\" class=\"data row16 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row16_col1\" class=\"data row16 col1\" >8</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row17\" class=\"row_heading level0 row17\" >Sustainability</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row17_col0\" class=\"data row17 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row17_col1\" class=\"data row17 col1\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row18\" class=\"row_heading level0 row18\" >Dissemination</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row18_col0\" class=\"data row18 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row18_col1\" class=\"data row18 col1\" >7</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row19\" class=\"row_heading level0 row19\" >Publications</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row19_col0\" class=\"data row19 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row19_col1\" class=\"data row19 col1\" >4</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836level0_row20\" class=\"row_heading level0 row20\" >External Impact</th>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row20_col0\" class=\"data row20 col0\" >0</td>\n",
" <td id=\"T_7e9f5c8c_0d19_11ea_b406_d0817aaac836row20_col1\" class=\"data row20 col1\" >9</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x11a9a3310>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfHeatmap.style.background_gradient(cmap='Blues')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(21, 2)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfHeatmap.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Normalization of impact areas\n",
"\n",
"Since each impact area is possibly affected by a differing number of factors, we have to normalize.\n",
"\n",
"Here, the maximal number of possible occurences of an impact area is the normalization factor. Each row in the matrix is then normalized by this number.\n"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"normDict = Counter([x.strip() for x in ','.join(dictImpactAreas.values()).split(',') if x])\n",
"# test for equality of lists\n",
"[x for x in list(normDict.keys()) if x not in dfHeatmap.index.tolist()]"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame([dict(normDict)]).transpose()\n",
"df = df.rename(columns={0:'Occurence'})"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Occurence</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>External Impact</th>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dissemination</th>\n",
" <td>14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Effectivity</th>\n",
" <td>24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Funding Perspectives</th>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Innovation</th>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sustainability</th>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Reputation</th>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transparency</th>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Competitiveness</th>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Efficiency</th>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Integration</th>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Communication</th>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transfer of Expertise</th>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Usage</th>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Transfer of Knowledge</th>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coherence</th>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Collaboration</th>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Education</th>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Relevance</th>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Data Security / Safety</th>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Publications</th>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Occurence\n",
"External Impact 20\n",
"Dissemination 14\n",
"Effectivity 24\n",
"Funding Perspectives 8\n",
"Innovation 17\n",
"Sustainability 18\n",
"Reputation 10\n",
"Transparency 17\n",
"Competitiveness 17\n",
"Efficiency 21\n",
"Integration 25\n",
"Communication 9\n",
"Transfer of Expertise 13\n",
"Usage 25\n",
"Transfer of Knowledge 8\n",
"Coherence 25\n",
"Collaboration 25\n",
"Education 13\n",
"Relevance 17\n",
"Data Security / Safety 7\n",
"Publications 8"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=1)\n",
"params = {'legend.fontsize': 20,\n",
" 'legend.handlelength': 2}\n",
"plt.rcParams.update(params)\n",
"df.sort_values('Occurence').plot.bar(figsize=(16,8),ax=axes)\n",
"axes.tick_params(labelsize=20)\n",
"fig.autofmt_xdate(rotation=40)\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"dfNormed = dfHeatmap.copy()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"for index in dfNormed.index:\n",
" dfNormed.loc[index] = dfNormed.loc[index].apply(lambda row: row/normDict[index])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Unnamed: 0', 'EOA'], dtype='object')"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfNormed.columns"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"def chg_color(val,param=75):\n",
" color = 'black' if val < param else 'white'\n",
" return 'color: %s' % color\n",
"\n",
"align_center = dict(selector=\"th\",\n",
" props=[('text-align', 'center')])"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"styled_ALL = dfNormed\\\n",
".apply(lambda row: row*100).style.background_gradient(cmap='Blues')\\\n",
".set_properties(**{'width':'6em', 'text-align':'center'})\\\n",
".set_table_styles([align_center])"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
" #T_c03816ca_0d19_11ea_b406_d0817aaac836 th {\n",
" text-align: center;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row0_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row0_col1 {\n",
" background-color: #68acd5;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row1_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row1_col1 {\n",
" background-color: #7cb7da;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row2_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row2_col1 {\n",
" background-color: #bad6eb;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row3_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row3_col1 {\n",
" background-color: #4896c8;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row4_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row4_col1 {\n",
" background-color: #d0e1f2;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row5_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row5_col1 {\n",
" background-color: #69add5;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row6_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row6_col1 {\n",
" background-color: #a3cce3;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row7_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row7_col1 {\n",
" background-color: #2272b6;\n",
" color: #f1f1f1;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row8_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row8_col1 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row9_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row9_col1 {\n",
" background-color: #85bcdc;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row10_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row10_col1 {\n",
" background-color: #64a9d3;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row11_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row11_col1 {\n",
" background-color: #74b3d8;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row12_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row12_col1 {\n",
" background-color: #8cc0dd;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row13_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row13_col1 {\n",
" background-color: #85bcdc;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row14_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row14_col1 {\n",
" background-color: #a3cce3;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row15_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row15_col1 {\n",
" background-color: #d3e3f3;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row16_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row16_col1 {\n",
" background-color: #08306b;\n",
" color: #f1f1f1;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: white;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row17_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row17_col1 {\n",
" background-color: #56a0ce;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row18_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row18_col1 {\n",
" background-color: #56a0ce;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row19_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row19_col1 {\n",
" background-color: #56a0ce;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row20_col0 {\n",
" background-color: #f7fbff;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" } #T_c03816ca_0d19_11ea_b406_d0817aaac836row20_col1 {\n",
" background-color: #6fb0d7;\n",
" color: #000000;\n",
" width: 6em;\n",
" text-align: center;\n",
" color: black;\n",
" }</style><table id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Unnamed: 0</th> <th class=\"col_heading level0 col1\" >EOA</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row0\" class=\"row_heading level0 row0\" >Education</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row0_col0\" class=\"data row0 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row0_col1\" class=\"data row0 col1\" >46%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row1\" class=\"row_heading level0 row1\" >Data Security / Safety</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row1_col0\" class=\"data row1 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row1_col1\" class=\"data row1 col1\" >43%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row2\" class=\"row_heading level0 row2\" >Transfer of Expertise</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row2_col0\" class=\"data row2 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row2_col1\" class=\"data row2 col1\" >31%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row3\" class=\"row_heading level0 row3\" >Transparency</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row3_col0\" class=\"data row3 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row3_col1\" class=\"data row3 col1\" >53%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row4\" class=\"row_heading level0 row4\" >Transfer of Knowledge</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row4_col0\" class=\"data row4 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row4_col1\" class=\"data row4 col1\" >25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row5\" class=\"row_heading level0 row5\" >Effectivity</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row5_col0\" class=\"data row5 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row5_col1\" class=\"data row5 col1\" >46%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row6\" class=\"row_heading level0 row6\" >Collaboration</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row6_col0\" class=\"data row6 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row6_col1\" class=\"data row6 col1\" >36%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row7\" class=\"row_heading level0 row7\" >Funding Perspectives</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row7_col0\" class=\"data row7 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row7_col1\" class=\"data row7 col1\" >62%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row8\" class=\"row_heading level0 row8\" >Communication</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row8_col0\" class=\"data row8 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row8_col1\" class=\"data row8 col1\" >11%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row9\" class=\"row_heading level0 row9\" >Relevance</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row9_col0\" class=\"data row9 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row9_col1\" class=\"data row9 col1\" >41%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row10\" class=\"row_heading level0 row10\" >Competitiveness</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row10_col0\" class=\"data row10 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row10_col1\" class=\"data row10 col1\" >47%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row11\" class=\"row_heading level0 row11\" >Integration</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row11_col0\" class=\"data row11 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row11_col1\" class=\"data row11 col1\" >44%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row12\" class=\"row_heading level0 row12\" >Usage</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row12_col0\" class=\"data row12 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row12_col1\" class=\"data row12 col1\" >40%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row13\" class=\"row_heading level0 row13\" >Innovation</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row13_col0\" class=\"data row13 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row13_col1\" class=\"data row13 col1\" >41%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row14\" class=\"row_heading level0 row14\" >Coherence</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row14_col0\" class=\"data row14 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row14_col1\" class=\"data row14 col1\" >36%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row15\" class=\"row_heading level0 row15\" >Efficiency</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row15_col0\" class=\"data row15 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row15_col1\" class=\"data row15 col1\" >24%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row16\" class=\"row_heading level0 row16\" >Reputation</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row16_col0\" class=\"data row16 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row16_col1\" class=\"data row16 col1\" >80%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row17\" class=\"row_heading level0 row17\" >Sustainability</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row17_col0\" class=\"data row17 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row17_col1\" class=\"data row17 col1\" >50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row18\" class=\"row_heading level0 row18\" >Dissemination</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row18_col0\" class=\"data row18 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row18_col1\" class=\"data row18 col1\" >50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row19\" class=\"row_heading level0 row19\" >Publications</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row19_col0\" class=\"data row19 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row19_col1\" class=\"data row19 col1\" >50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836level0_row20\" class=\"row_heading level0 row20\" >External Impact</th>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row20_col0\" class=\"data row20 col0\" >0%</td>\n",
" <td id=\"T_c03816ca_0d19_11ea_b406_d0817aaac836row20_col1\" class=\"data row20 col1\" >45%</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x11ac9f1d0>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"styled_ALL.applymap(chg_color).format(\"{:,.0f}%\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Sum of normalized fulfilled impact areas "
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"cmap = matplotlib.cm.get_cmap('viridis')"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"dfOverview2 = dfNormed.sum(axis=1).sort_values().to_frame()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"dfOverview2 = dfOverview2.rename(columns={0:'Value'})"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.8"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfOverview2.Value.max()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"dfOverview2['value'] = dfOverview2.Value.apply(lambda row: row/dfOverview2.Value.max())"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"colors = [cmap(x) for x in dfOverview2.value.values]"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=1, ncols=1)\n",
"dfNormed.sum(axis=1).sort_values().plot.bar(figsize=(16,8),ax=axes, color=colors)\n",
"axes.tick_params(axis='x', labelsize=20)\n",
"fig.autofmt_xdate(rotation=40)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analysing impact areas with lesser fulfillment\n",
"\n",
"What factors have the most influence on impact areas, which are less fulfilled? \n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"areaList = list(set([x.strip() for y in [x.split(',') for x in dfImpactAreas['Impact Area'].values] for x in y]))"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"areaFactorsDict = {x:'' for x in areaList}"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Education': '',\n",
" 'Data Security / Safety': '',\n",
" 'Transfer of Expertise': '',\n",
" 'Transparency': '',\n",
" 'Transfer of Knowledge': '',\n",
" 'Effectivity': '',\n",
" 'Collaboration': '',\n",
" 'Funding Perspectives': '',\n",
" 'Communication': '',\n",
" 'Relevance': '',\n",
" 'Competitiveness': '',\n",
" 'Integration': '',\n",
" 'Usage': '',\n",
" 'Innovation': '',\n",
" 'Coherence': '',\n",
" 'Efficiency': '',\n",
" 'Reputation': '',\n",
" 'Sustainability': '',\n",
" 'Dissemination': '',\n",
" 'Publications': '',\n",
" 'External Impact': ''}"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"areaFactorsDict"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"dfTempArea = dfImpactAreas[['Factor','Impact Area']]"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"for i in range(dfTempArea.shape[0]):\n",
" for x in dfTempArea['Impact Area'].iloc[i].split(','):\n",
" area = x.strip()\n",
" val = str(areaFactorsDict[area])\n",
" areaFactorsDict[area] = val + ',' + dfTempArea.Factor.iloc[i]"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
"under15list = []\n",
"for key in ['Dissemination', 'Communication', 'Reputation', 'Publications', 'Innovation']:\n",
" under15list.append((key, areaFactorsDict[key]))"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"dfUnder15 = pd.DataFrame(under15list)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('Dissemination of knowledge (subject-specific and DH-broad)', 5),\n",
" ('Dissemination of data', 4),\n",
" ('Support of experience exchange', 4),\n",
" ('Open-source (offer)', 3),\n",
" ('Providing information and outcomes', 3)]"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ctd = Counter(' '.join([x for x in dfUnder15[1].values]).split(','))\n",
"ctd.most_common(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Discussion of results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some factors are not represented by the recommendations, most importantly those that deal with the actual software of the publication platform. \n",
"\n",
"In order to include them in the evaluation, the questionnaire issued by the DARIAH-DE Working Group Service Life Cycle could be adapted so it can cater for other open source projects."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# References"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Gnadt, Timo, Viola E. Schmitt, Juliane Stiller, Klaus Thoden: \"Faktoren und Kriterien für den Impact von DH-Tools und Infrastrukturen\". DARIAH-DE Working Papers Nr. 21. Göttingen: DARIAH-DE, 2017. URN: http://nbn-resolving.de/urn:nbn:de:gbv:7-dariah-2017-1-7\n",
"\n",
"Vogl, Malte, Hanna-Lena Meiners, Klaus Thoden, Michael Haft, Oliver Schmid: \"Impact and usability for digital humanities research infrastructures\". DARIAH-DE Working Papers Nr. 34. Göttingen: DARIAH-DE, 2019. URN: http://nbn-resolving.de/urn:nbn:de:gbv:7-dariah-2019-6-4"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}