{ "cells": [ { "cell_type": "markdown", "metadata": { "toc-hr-collapsed": false }, "source": [ "# Analysis and visualization of impact areas\n", "\n", "This notebook accompanies the DARIAH-DE Working Paper on __\"Impact and Usability for digital humanities research infrastructures\"__. The analysis of questionaires of the working group Service Lice Cylce was carried out using Excel-Tables, which are loaded and processed below. \n" ] }, { "cell_type": "code", "execution_count": 1, "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": 2, "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 DARIAH-DE repository. The collection https://repository.de.dariah.eu/1.0/dhcrud//21.11113/0000-000B-D8C9-F contains a single excel file. We therefore directly access the data in this collection, which has a different identifier." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "df_allSheets = pd.read_excel('https://repository.de.dariah.eu/1.0/dhcrud/21.11113/0000-000B-D8CA-E/data',sheet_name=[0,1,2])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Focus on attributes of the WG SLC" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Attribut SLC ChecklisteAAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia Spotlight...Repository DH CrudDH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle Maschinen
f1Is the current short description in the portal...011010110...1.01.01.01.0NaN1.01.01.01.01.0
f2Is the current description in the portal corre...011010110...1.01.01.01.0NaN1.01.01.01.01.0
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2 rows × 35 columns

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" ], "text/plain": [ " Attribut SLC Checkliste AAI \\\n", "f1 Is the current short description in the portal... 0 \n", "f2 Is the current description in the portal corre... 0 \n", "\n", " Collection Registry ConedaKOR Confluence Cosmotool Personensuch \\\n", "f1 1 1 0 1 \n", "f2 1 1 0 1 \n", "\n", " Styleguide Data Modeling Environment DKPro- Wrapper DBPedia Spotlight \\\n", "f1 0 1 1 0 \n", "f2 0 1 1 0 \n", "\n", " ... Repository DH Crud DH-Publish OAI-PMH Publikator \\\n", "f1 ... 1.0 1.0 1.0 1.0 \n", "f2 ... 1.0 1.0 1.0 1.0 \n", "\n", " Storage API Survey Provisioning TextGrid Laboratory \\\n", "f1 NaN 1.0 1.0 \n", "f2 NaN 1.0 1.0 \n", "\n", " TextGrid Repository Topics Virtuelle Maschinen \n", "f1 1.0 1.0 1.0 \n", "f2 1.0 1.0 1.0 \n", "\n", "[2 rows x 35 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfAttribute = df_allSheets[0]\n", "dfAttribute.head(2)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "dfAttribute = dfAttribute.set_index('Attribut SLC 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=['SLC Question', 'How often fullfilled'])\n", "\n", "dfAttributeDist = dfAttributeDist.append({'SLC 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=['SLC Question'],**{'width':'35em', 'text-align':'left'})\\\n", " .set_table_styles([align_center])" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SLC QuestionHow often fullfilled
0Is the current short description in the portal correct and appealing?25
1Is the current description in the portal correct and appealing?25
2Is there a description of the function of the service? (In the best case a user manual)31
3Description of the target group and their size30
4Is there an estimate of the cost or effort to run the service?17
5Which DARIAH-DE resources or other services are needed to operate the service?31
6Are only Open (Libre) Source licenses used to run the service? If not, which licenses are required?29
7Is there an API?25
8Which standard file formats are supported (for import as well as for export)?27
9Has a localization been implemented? If yes, which locales are supported? Which internationalization framework was used?22
10Is one instance of the service sufficient for the entire DARIAH-DE community or do projects / institutes / etc. each have their own instances?32
11What network or security requirements does the service provide to its environment?21
12Does a user documentation exist?25
13Is there a developer documentation available?21
14Is there a datasheet (fact sheet)11
15Are there any criteria as to when the service can be reinstated and a documentation on how this can be done professionally?16
16Has a connection to the DARIAH-AAI been made, as far as reasonably possible?18
17Has the current version of the DARIAH-DE style guide been integrated as far as reasonably possible?15
18Have integrations with other DARIAH-DE services (PID, repository, Bit-Preservation API, ...) been implemented, where reasonably possible?18
19If sensibel, is OAI-PMH supported? Has the integration been done with Generic Search?14
20Does a documentation of the test / verification suite exist for the service?12
21Who is the contact person for queries from users (technical / technical)?32
22Does an administrator documentation exist?20
23Are there plans for the operation of the service after the current project duration until 2019?25
24Are there any tutorials, FAQs or other training material?23
25Are there any application examples from research projects?20
26?0
" ], "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfAttributeDistStyle" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Focus on factors of the Impactomatrix" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Translate between german and english impact factors" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ImpactfactorsAAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia Spotlight...DH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle MaschinenSUM
NaNOpen-source (offer)01111.01.01.00.01.0...11.011.01111.01.0NaN
NaNAnonymity (collaboration & communication)00000.00.00.00.00.0...00.000.00000.00.0NaN
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2 rows × 36 columns

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" ], "text/plain": [ " Impactfactors AAI Collection Registry \\\n", "NaN Open-source (offer) 0 1 \n", "NaN Anonymity (collaboration & communication) 0 0 \n", "\n", " ConedaKOR Confluence Cosmotool Personensuch Styleguide \\\n", "NaN 1 1 1.0 1.0 \n", "NaN 0 0 0.0 0.0 \n", "\n", " Data Modeling Environment DKPro- Wrapper DBPedia Spotlight ... \\\n", "NaN 1.0 0.0 1.0 ... \n", "NaN 0.0 0.0 0.0 ... \n", "\n", " DH-Publish OAI-PMH Publikator Storage API Survey Provisioning \\\n", "NaN 1 1.0 1 1.0 1 \n", "NaN 0 0.0 0 0.0 0 \n", "\n", " TextGrid Laboratory TextGrid Repository Topics Virtuelle Maschinen \\\n", "NaN 1 1 1.0 1.0 \n", "NaN 0 0 0.0 0.0 \n", "\n", " SUM \n", "NaN NaN \n", "NaN NaN \n", "\n", "[2 rows x 36 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfFactor = df_allSheets[1]\n", "dfFactor.head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Clean data " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "dfFactor = dfFactor.set_index('Impactfactors').replace([True,False,np.nan],[1,0,0])" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "35" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(dfFactor.columns)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Open-source (offer)', 'Anonymity (collaboration & communication)',\n", " 'Appealing layout/web surface', 'User support',\n", " 'Auswertbare Server-Logs', 'Operability/Usability',\n", " 'Providing information and outcomes', 'Community-Building',\n", " 'Dissemination of data', 'Conservation of data', 'Data management',\n", " 'DH functionalities', 'Documentation of functionalities',\n", " 'Documentation of code',\n", " 'Embedding of available digital databases/software/tools',\n", " 'User involvement', 'Einbindung ins Dateisystem',\n", " 'Integration into scientific workflows',\n", " 'Meaningful & significant name',\n", " 'Dissemination of knowledge (subject-specific and DH-broad)',\n", " 'Recognition value', 'Learnability', 'Enabling online-work',\n", " 'Support of experience exchange', 'Import/Export-functionalities',\n", " 'Interoperability with other tools',\n", " 'Interoperability with digital resources',\n", " 'Collaboration functionalities',\n", " 'Communication facilitation/acceleration',\n", " 'Configurable functionalities', 'Workflow management',\n", " 'Measures for long-term use & storage', 'Multilingualism',\n", " 'Re-usability of infrastructure', 'User surveys & tests',\n", " 'Public relations', 'Performance',\n", " 'Regular updates (contents & functionalities)',\n", " 'Scalability & modularity', 'Stability', 'Software Schnittstellen',\n", " 'Technical support', 'Support of successful scientists',\n", " 'Support of open file formats', 'Improved access to resources',\n", " 'Availability', 'Usage & support of standards', 'Accessibility'],\n", " dtype='object', name='Impactfactors')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfFactor.index" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia SpotlightEtherpad...DH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle MaschinenSUM
Impactfactors
Open-source (offer)01111.01.01.00.01.01...11.011.01111.01.00.0
Anonymity (collaboration & communication)00000.00.00.00.00.00...00.000.00000.00.00.0
Appealing layout/web surface11000.01.01.00.00.01...11.010.00110.00.00.0
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3 rows × 35 columns

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" ], "text/plain": [ " AAI Collection Registry \\\n", "Impactfactors \n", "Open-source (offer) 0 1 \n", "Anonymity (collaboration & communication) 0 0 \n", "Appealing layout/web surface 1 1 \n", "\n", " ConedaKOR Confluence \\\n", "Impactfactors \n", "Open-source (offer) 1 1 \n", "Anonymity (collaboration & communication) 0 0 \n", "Appealing layout/web surface 0 0 \n", "\n", " Cosmotool Personensuch Styleguide \\\n", "Impactfactors \n", "Open-source (offer) 1.0 1.0 \n", "Anonymity (collaboration & communication) 0.0 0.0 \n", "Appealing layout/web surface 0.0 1.0 \n", "\n", " Data Modeling Environment \\\n", "Impactfactors \n", "Open-source (offer) 1.0 \n", "Anonymity (collaboration & communication) 0.0 \n", "Appealing layout/web surface 1.0 \n", "\n", " DKPro- Wrapper DBPedia Spotlight \\\n", "Impactfactors \n", "Open-source (offer) 0.0 1.0 \n", "Anonymity (collaboration & communication) 0.0 0.0 \n", "Appealing layout/web surface 0.0 0.0 \n", "\n", " Etherpad ... DH-Publish OAI-PMH \\\n", "Impactfactors ... \n", "Open-source (offer) 1 ... 1 1.0 \n", "Anonymity (collaboration & communication) 0 ... 0 0.0 \n", "Appealing layout/web surface 1 ... 1 1.0 \n", "\n", " Publikator Storage API \\\n", "Impactfactors \n", "Open-source (offer) 1 1.0 \n", "Anonymity (collaboration & communication) 0 0.0 \n", "Appealing layout/web surface 1 0.0 \n", "\n", " Survey Provisioning \\\n", "Impactfactors \n", "Open-source (offer) 1 \n", "Anonymity (collaboration & communication) 0 \n", "Appealing layout/web surface 0 \n", "\n", " TextGrid Laboratory \\\n", "Impactfactors \n", "Open-source (offer) 1 \n", "Anonymity (collaboration & communication) 0 \n", "Appealing layout/web surface 1 \n", "\n", " TextGrid Repository Topics \\\n", "Impactfactors \n", "Open-source (offer) 1 1.0 \n", "Anonymity (collaboration & communication) 0 0.0 \n", "Appealing layout/web surface 1 0.0 \n", "\n", " Virtuelle Maschinen SUM \n", "Impactfactors \n", "Open-source (offer) 1.0 0.0 \n", "Anonymity (collaboration & communication) 0.0 0.0 \n", "Appealing layout/web surface 0.0 0.0 \n", "\n", "[3 rows x 35 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfFactor.head(3)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "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": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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22 areasFactorImpact Area
0NaNOpen-source (offer)External Impact, Dissemination, Effectivity, F...
1NaNAnonymity (collaboration & communication)Effectivity, Efficiency, Integration, Communic...
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" ], "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": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfImpactAreas = df_allSheets[2]\n", "dfImpactAreas.head(2)" ] }, { "cell_type": "code", "execution_count": 14, "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": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'Data Security / Safety': 0,\n", " 'External Impact': 0,\n", " 'Integration': 0,\n", " 'Funding Perspectives': 0,\n", " 'Education': 0,\n", " 'Publications': 0,\n", " 'Relevance': 0,\n", " 'Transfer of Knowledge': 0,\n", " 'Effectivity': 0,\n", " 'Dissemination': 0,\n", " 'Competitiveness': 0,\n", " 'Transfer of Expertise': 0,\n", " 'Collaboration': 0,\n", " 'Reputation': 0,\n", " 'Usage': 0,\n", " 'Communication': 0,\n", " 'Efficiency': 0,\n", " 'Transparency': 0,\n", " 'Coherence': 0,\n", " 'Sustainability': 0,\n", " 'Innovation': 0}" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "areaDict = {x:0 for x in areaList}\n", "areaDict" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['AAI', 'Collection Registry', 'ConedaKOR'], dtype='object')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "toolList = dfFactor.columns.drop('SUM')\n", "toolList[:3]" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Open-source (offer)', 'Anonymity (collaboration & communication)',\n", " 'Appealing layout/web surface'],\n", " dtype='object', name='Impactfactors')" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "factorList = dfFactor.index\n", "factorList[:3]" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "dictImpactAreas = dfImpactAreas.set_index('Factor').to_dict()['Impact Area']" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "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,faktor))\n", " pass\n", " weight[tool] = tmpDict" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "weight['ConedaKOR'] == weight['AAI']" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia SpotlightEtherpad...Repository DH CrudDH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle Maschinen
Coherence171816151010159714...18161319101519171210
Collaboration171816151010159714...18161319101519171210
Communication4444133233...2214144311
Competitiveness101412117711649...14131114811141298
Data Security / Safety5565646644...6645466666
Dissemination5755567235...7777547744
Education8101010477328...997107910977
Effectivity13151413108136511...1514141611121615108
Efficiency1214121186106412...13131014611141288
External Impact12151311811137510...13131215101215141010
Funding Perspectives6764627326...7677457754
Innovation81098678348...997108810977
Integration161615131161510314...17151416121417161310
Publications5442425215...4444235522
Relevance1413139107117311...1414121491215131010
Reputation3555444234...5545455555
Sustainability12131210115138411...141310138111413109
Transfer of Expertise7888375237...8868688777
Transfer of Knowledge4433234213...3334234422
Transparency91110107510549...111081279121175
Usage171916141212158514...19191719111419171212
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21 rows × 34 columns

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" ], "text/plain": [ " AAI Collection Registry ConedaKOR Confluence \\\n", "Coherence 17 18 16 15 \n", "Collaboration 17 18 16 15 \n", "Communication 4 4 4 4 \n", "Competitiveness 10 14 12 11 \n", "Data Security / Safety 5 5 6 5 \n", "Dissemination 5 7 5 5 \n", "Education 8 10 10 10 \n", "Effectivity 13 15 14 13 \n", "Efficiency 12 14 12 11 \n", "External Impact 12 15 13 11 \n", "Funding Perspectives 6 7 6 4 \n", "Innovation 8 10 9 8 \n", "Integration 16 16 15 13 \n", "Publications 5 4 4 2 \n", "Relevance 14 13 13 9 \n", "Reputation 3 5 5 5 \n", "Sustainability 12 13 12 10 \n", "Transfer of Expertise 7 8 8 8 \n", "Transfer of Knowledge 4 4 3 3 \n", "Transparency 9 11 10 10 \n", "Usage 17 19 16 14 \n", "\n", " Cosmotool Personensuch Styleguide \\\n", "Coherence 10 10 \n", "Collaboration 10 10 \n", "Communication 1 3 \n", "Competitiveness 7 7 \n", "Data Security / Safety 6 4 \n", "Dissemination 5 6 \n", "Education 4 7 \n", "Effectivity 10 8 \n", "Efficiency 8 6 \n", "External Impact 8 11 \n", "Funding Perspectives 6 2 \n", "Innovation 6 7 \n", "Integration 11 6 \n", "Publications 4 2 \n", "Relevance 10 7 \n", "Reputation 4 4 \n", "Sustainability 11 5 \n", "Transfer of Expertise 3 7 \n", "Transfer of Knowledge 2 3 \n", "Transparency 7 5 \n", "Usage 12 12 \n", "\n", " Data Modeling Environment DKPro- Wrapper \\\n", "Coherence 15 9 \n", "Collaboration 15 9 \n", "Communication 3 2 \n", "Competitiveness 11 6 \n", "Data Security / Safety 6 6 \n", "Dissemination 7 2 \n", "Education 7 3 \n", "Effectivity 13 6 \n", "Efficiency 10 6 \n", "External Impact 13 7 \n", "Funding Perspectives 7 3 \n", "Innovation 8 3 \n", "Integration 15 10 \n", "Publications 5 2 \n", "Relevance 11 7 \n", "Reputation 4 2 \n", "Sustainability 13 8 \n", "Transfer of Expertise 5 2 \n", "Transfer of Knowledge 4 2 \n", "Transparency 10 5 \n", "Usage 15 8 \n", "\n", " DBPedia Spotlight Etherpad ... \\\n", "Coherence 7 14 ... \n", "Collaboration 7 14 ... \n", "Communication 3 3 ... \n", "Competitiveness 4 9 ... \n", "Data Security / Safety 4 4 ... \n", "Dissemination 3 5 ... \n", "Education 2 8 ... \n", "Effectivity 5 11 ... \n", "Efficiency 4 12 ... \n", "External Impact 5 10 ... \n", "Funding Perspectives 2 6 ... \n", "Innovation 4 8 ... \n", "Integration 3 14 ... \n", "Publications 1 5 ... \n", "Relevance 3 11 ... \n", "Reputation 3 4 ... \n", "Sustainability 4 11 ... \n", "Transfer of Expertise 3 7 ... \n", "Transfer of Knowledge 1 3 ... \n", "Transparency 4 9 ... \n", "Usage 5 14 ... \n", "\n", " Repository DH Crud DH-Publish OAI-PMH Publikator \\\n", "Coherence 18 16 13 19 \n", "Collaboration 18 16 13 19 \n", "Communication 2 2 1 4 \n", "Competitiveness 14 13 11 14 \n", "Data Security / Safety 6 6 4 5 \n", "Dissemination 7 7 7 7 \n", "Education 9 9 7 10 \n", "Effectivity 15 14 14 16 \n", "Efficiency 13 13 10 14 \n", "External Impact 13 13 12 15 \n", "Funding Perspectives 7 6 7 7 \n", "Innovation 9 9 7 10 \n", "Integration 17 15 14 16 \n", "Publications 4 4 4 4 \n", "Relevance 14 14 12 14 \n", "Reputation 5 5 4 5 \n", "Sustainability 14 13 10 13 \n", "Transfer of Expertise 8 8 6 8 \n", "Transfer of Knowledge 3 3 3 4 \n", "Transparency 11 10 8 12 \n", "Usage 19 19 17 19 \n", "\n", " Storage API Survey Provisioning TextGrid Laboratory \\\n", "Coherence 10 15 19 \n", "Collaboration 10 15 19 \n", "Communication 1 4 4 \n", "Competitiveness 8 11 14 \n", "Data Security / Safety 4 6 6 \n", "Dissemination 5 4 7 \n", "Education 7 9 10 \n", "Effectivity 11 12 16 \n", "Efficiency 6 11 14 \n", "External Impact 10 12 15 \n", "Funding Perspectives 4 5 7 \n", "Innovation 8 8 10 \n", "Integration 12 14 17 \n", "Publications 2 3 5 \n", "Relevance 9 12 15 \n", "Reputation 4 5 5 \n", "Sustainability 8 11 14 \n", "Transfer of Expertise 6 8 8 \n", "Transfer of Knowledge 2 3 4 \n", "Transparency 7 9 12 \n", "Usage 11 14 19 \n", "\n", " TextGrid Repository Topics Virtuelle Maschinen \n", "Coherence 17 12 10 \n", "Collaboration 17 12 10 \n", "Communication 3 1 1 \n", "Competitiveness 12 9 8 \n", "Data Security / Safety 6 6 6 \n", "Dissemination 7 4 4 \n", "Education 9 7 7 \n", "Effectivity 15 10 8 \n", "Efficiency 12 8 8 \n", "External Impact 14 10 10 \n", "Funding Perspectives 7 5 4 \n", "Innovation 9 7 7 \n", "Integration 16 13 10 \n", "Publications 5 2 2 \n", "Relevance 13 10 10 \n", "Reputation 5 5 5 \n", "Sustainability 13 10 9 \n", "Transfer of Expertise 7 7 7 \n", "Transfer of Knowledge 4 2 2 \n", "Transparency 11 7 5 \n", "Usage 17 12 12 \n", "\n", "[21 rows x 34 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfImpact = pd.DataFrame(weight)\n", "dfImpact" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "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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" ] }, "metadata": {}, "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": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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AAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia SpotlightEtherpadFileserver/MassenspeicherGenerische SucheGeoBrowserHelpdeskJüdische OrteJupyter NotebookMailinglistenMonitoringMySQL DatenbankNormdatendiensteOwncloudPID-ServiceProjektverwaltungRepositoryRepository DH CrudDH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle Maschinen
Coherence171816151010159714111713181212131215121112141418161319101519171210
Collaboration171816151010159714111713181212131215121112141418161319101519171210
Communication4444133233030431444430422214144311
Competitiveness10141211771164971210128910111010107121114131114811141298
Data Security / Safety5565646644654643335443666645466666
Dissemination5755567235175526452423557777547744
Education810101047732868610649109976109997107910977
Effectivity131514131081365117151116121211131112101113121514141611121615108
Efficiency1214121186106412811101411810101110118111013131014611141288
External Impact1215131181113751061311138101212101198131013131215101215141010
Funding Perspectives6764627326277746543426447677457754
Innovation81098678348386103788673798997108810977
Integration161615131161510314111513171311111113121112131417151416121417161310
Publications5442425215244542222313324444235522
Relevance14131391071173117111215991110101191012101414121491215131010
Reputation3555444234354532443434555545455555
Sustainability121312101151384118121014888798681011141310138111413109
Transfer of Expertise7888375237465844887866888868688777
Transfer of Knowledge4433234213243332333321323334234422
Transparency911101075105494116126778876899111081279121175
Usage17191614121215851491615171213141513141312151419191719111419171212
" ], "text/plain": [ "" ] }, "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, 34)" ] }, "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": [ "
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Occurence
Coherence25
Collaboration25
Communication9
Competitiveness17
Data Security / Safety7
Dissemination14
Education13
Effectivity24
Efficiency21
External Impact20
Funding Perspectives8
Innovation17
Integration25
Publications8
Relevance17
Reputation10
Sustainability18
Transfer of Expertise13
Transfer of Knowledge8
Transparency17
Usage25
\n", "
" ], "text/plain": [ " Occurence\n", "Coherence 25\n", "Collaboration 25\n", "Communication 9\n", "Competitiveness 17\n", "Data Security / Safety 7\n", "Dissemination 14\n", "Education 13\n", "Effectivity 24\n", "Efficiency 21\n", "External Impact 20\n", "Funding Perspectives 8\n", "Innovation 17\n", "Integration 25\n", "Publications 8\n", "Relevance 17\n", "Reputation 10\n", "Sustainability 18\n", "Transfer of Expertise 13\n", "Transfer of Knowledge 8\n", "Transparency 17\n", "Usage 25" ] }, "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", 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" ] }, "metadata": {}, "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(['AAI', 'Collection Registry', 'ConedaKOR', 'Confluence',\n", " 'Cosmotool Personensuch', 'Styleguide', 'Data Modeling Environment',\n", " 'DKPro- Wrapper', 'DBPedia Spotlight', 'Etherpad',\n", " 'Fileserver/Massenspeicher', 'Generische Suche', 'GeoBrowser',\n", " 'Helpdesk', 'Jüdische Orte', 'Jupyter Notebook', 'Mailinglisten',\n", " 'Monitoring', 'MySQL Datenbank', 'Normdatendienste', 'Owncloud',\n", " 'PID-Service', 'Projektverwaltung', 'Repository', 'Repository DH Crud',\n", " 'DH-Publish', 'OAI-PMH', 'Publikator', 'Storage API',\n", " 'Survey Provisioning', 'TextGrid Laboratory', 'TextGrid Repository',\n", " 'Topics', 'Virtuelle Maschinen'],\n", " 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": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", 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AAICollection RegistryConedaKORConfluenceCosmotool PersonensuchStyleguideData Modeling EnvironmentDKPro- WrapperDBPedia SpotlightEtherpadFileserver/MassenspeicherGenerische SucheGeoBrowserHelpdeskJüdische OrteJupyter NotebookMailinglistenMonitoringMySQL DatenbankNormdatendiensteOwncloudPID-ServiceProjektverwaltungRepositoryRepository DH CrudDH-PublishOAI-PMHPublikatorStorage APISurvey ProvisioningTextGrid LaboratoryTextGrid RepositoryTopicsVirtuelle Maschinen
Coherence68%72%64%60%40%40%60%36%28%56%44%68%52%72%48%48%52%48%60%48%44%48%56%56%72%64%52%76%40%60%76%68%48%40%
Collaboration68%72%64%60%40%40%60%36%28%56%44%68%52%72%48%48%52%48%60%48%44%48%56%56%72%64%52%76%40%60%76%68%48%40%
Communication44%44%44%44%11%33%33%22%33%33%0%33%0%44%33%11%44%44%44%44%33%0%44%22%22%22%11%44%11%44%44%33%11%11%
Competitiveness59%82%71%65%41%41%65%35%24%53%41%71%59%71%47%53%59%65%59%59%59%41%71%65%82%76%65%82%47%65%82%71%53%47%
Data Security / Safety71%71%86%71%86%57%86%86%57%57%86%71%57%86%57%43%43%43%71%57%57%43%86%86%86%86%57%71%57%86%86%86%86%86%
Dissemination36%50%36%36%36%43%50%14%21%36%7%50%36%36%14%43%29%36%14%29%14%21%36%36%50%50%50%50%36%29%50%50%29%29%
Education62%77%77%77%31%54%54%23%15%62%46%62%46%77%46%31%69%77%69%69%54%46%77%69%69%69%54%77%54%69%77%69%54%54%
Effectivity54%62%58%54%42%33%54%25%21%46%29%62%46%67%50%50%46%54%46%50%42%46%54%50%62%58%58%67%46%50%67%62%42%33%
Efficiency57%67%57%52%38%29%48%29%19%57%38%52%48%67%52%38%48%48%52%48%52%38%52%48%62%62%48%67%29%52%67%57%38%38%
External Impact60%75%65%55%40%55%65%35%25%50%30%65%55%65%40%50%60%60%50%55%45%40%65%50%65%65%60%75%50%60%75%70%50%50%
Funding Perspectives75%88%75%50%75%25%88%38%25%75%25%88%88%88%50%75%62%50%38%50%25%75%50%50%88%75%88%88%50%62%88%88%62%50%
Innovation47%59%53%47%35%41%47%18%24%47%18%47%35%59%18%41%47%47%35%41%18%41%53%47%53%53%41%59%47%47%59%53%41%41%
Integration64%64%60%52%44%24%60%40%12%56%44%60%52%68%52%44%44%44%52%48%44%48%52%56%68%60%56%64%48%56%68%64%52%40%
Publications62%50%50%25%50%25%62%25%12%62%25%50%50%62%50%25%25%25%25%38%12%38%38%25%50%50%50%50%25%38%62%62%25%25%
Relevance82%76%76%53%59%41%65%41%18%65%41%65%71%88%53%53%65%59%59%65%53%59%71%59%82%82%71%82%53%71%88%76%59%59%
Reputation30%50%50%50%40%40%40%20%30%40%30%50%40%50%30%20%40%40%30%40%30%40%50%50%50%50%40%50%40%50%50%50%50%50%
Sustainability67%72%67%56%61%28%72%44%22%61%44%67%56%78%44%44%44%39%50%44%33%44%56%61%78%72%56%72%44%61%78%72%56%50%
Transfer of Expertise54%62%62%62%23%54%38%15%23%54%31%46%38%62%31%31%62%62%54%62%46%46%62%62%62%62%46%62%46%62%62%54%54%54%
Transfer of Knowledge50%50%38%38%25%38%50%25%12%38%25%50%38%38%38%25%38%38%38%38%25%12%38%25%38%38%38%50%25%38%50%50%25%25%
Transparency53%65%59%59%41%29%59%29%24%53%24%65%35%71%35%41%41%47%47%41%35%47%53%53%65%59%47%71%41%53%71%65%41%29%
Usage68%76%64%56%48%48%60%32%20%56%36%64%60%68%48%52%56%60%52%56%52%48%60%56%76%76%68%76%44%56%76%68%48%48%
" ], "text/plain": [ "" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "styled_ALL.applymap(chg_color).format(\"{:,.0f}%\")" ] }, { "cell_type": "markdown", "metadata": { "toc-hr-collapsed": true }, "source": [ "## Displaying different areas of tools\n", "\n", "### Basis services" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "styled_BASIS = dfNormed[['Confluence','Etherpad', 'Fileserver/Massenspeicher', 'Helpdesk', 'Monitoring']]\\\n", ".rename(columns={'Fileserver/Massenspeicher':'Fileserver / mass storage'})\\\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": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ConfluenceEtherpadFileserver / mass storageHelpdeskMonitoring
Coherence60%56%44%72%48%
Collaboration60%56%44%72%48%
Communication44%33%0%44%44%
Competitiveness65%53%41%71%65%
Data Security / Safety71%57%86%86%43%
Dissemination36%36%7%36%36%
Education77%62%46%77%77%
Effectivity54%46%29%67%54%
Efficiency52%57%38%67%48%
External Impact55%50%30%65%60%
Funding Perspectives50%75%25%88%50%
Innovation47%47%18%59%47%
Integration52%56%44%68%44%
Publications25%62%25%62%25%
Relevance53%65%41%88%59%
Reputation50%40%30%50%40%
Sustainability56%61%44%78%39%
Transfer of Expertise62%54%31%62%62%
Transfer of Knowledge38%38%25%38%38%
Transparency59%53%24%71%47%
Usage56%56%36%68%60%
" ], "text/plain": [ "" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "styled_BASIS.applymap(chg_color).format(\"{:,.0f}%\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data services" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "styled_DATA = dfNormed[['AAI','Repository', 'TextGrid Repository','Publikator', 'Collection Registry']]\\\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": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AAIRepositoryTextGrid RepositoryPublikatorCollection Registry
Coherence68%56%68%76%72%
Collaboration68%56%68%76%72%
Communication44%22%33%44%44%
Competitiveness59%65%71%82%82%
Data Security / Safety71%86%86%71%71%
Dissemination36%36%50%50%50%
Education62%69%69%77%77%
Effectivity54%50%62%67%62%
Efficiency57%48%57%67%67%
External Impact60%50%70%75%75%
Funding Perspectives75%50%88%88%88%
Innovation47%47%53%59%59%
Integration64%56%64%64%64%
Publications62%25%62%50%50%
Relevance82%59%76%82%76%
Reputation30%50%50%50%50%
Sustainability67%61%72%72%72%
Transfer of Expertise54%62%54%62%62%
Transfer of Knowledge50%25%50%50%50%
Transparency53%53%65%71%65%
Usage68%56%68%76%76%
" ], "text/plain": [ "" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "styled_DATA.applymap(chg_color).format(\"{:,.0f}%\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### DH Tools" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "styled_ANNOTATE = dfNormed[['ConedaKOR','Topics', 'Cosmotool Personensuch','GeoBrowser', 'DKPro- Wrapper']]\\\n", ".rename(columns={'Cosmotool Personensuch': 'Cosmotool', 'DKPro- Wrapper': 'DKPro-Wrapper'})\\\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": 42, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ConedaKORTopicsCosmotoolGeoBrowserDKPro-Wrapper
Coherence64%48%40%52%36%
Collaboration64%48%40%52%36%
Communication44%11%11%0%22%
Competitiveness71%53%41%59%35%
Data Security / Safety86%86%86%57%86%
Dissemination36%29%36%36%14%
Education77%54%31%46%23%
Effectivity58%42%42%46%25%
Efficiency57%38%38%48%29%
External Impact65%50%40%55%35%
Funding Perspectives75%62%75%88%38%
Innovation53%41%35%35%18%
Integration60%52%44%52%40%
Publications50%25%50%50%25%
Relevance76%59%59%71%41%
Reputation50%50%40%40%20%
Sustainability67%56%61%56%44%
Transfer of Expertise62%54%23%38%15%
Transfer of Knowledge38%25%25%38%25%
Transparency59%41%41%35%29%
Usage64%48%48%60%32%
" ], "text/plain": [ "" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "styled_ANNOTATE.applymap(chg_color).format(\"{:,.0f}%\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Sum of normalized fulfilled impact areas " ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "cmap = matplotlib.cm.get_cmap('viridis')" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "dfOverview2 = dfNormed.sum(axis=1).sort_values().to_frame()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "dfOverview2 = dfOverview2.rename(columns={0:'Value'})" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "24.0" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfOverview2.Value.max()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "dfOverview2['value'] = dfOverview2.Value.apply(lambda row: row/dfOverview2.Value.max())" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "colors = [cmap(x) for x in dfOverview2.value.values]" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "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 the impact of the styleguide" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Styleguide
Data Security / Safety57%
External Impact55%
Transfer of Expertise54%
Education54%
Usage48%
Dissemination43%
Innovation41%
Competitiveness41%
Relevance41%
Reputation40%
Coherence40%
Collaboration40%
Transfer of Knowledge38%
Effectivity33%
Communication33%
Transparency29%
Efficiency29%
Sustainability28%
Publications25%
Funding Perspectives25%
Integration24%
" ], "text/plain": [ "" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfNormed['Styleguide'].to_frame().apply(lambda row: row*100).sort_values('Styleguide',ascending=False).style.background_gradient(cmap='Blues')\\\n", ".set_properties(**{'width':'6em', 'text-align':'center'})\\\n", ".set_table_styles([align_center]).applymap(lambda x: chg_color(x,50)).format(\"{:,.0f}%\")" ] }, { "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": 51, "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": 52, "metadata": {}, "outputs": [], "source": [ "areaFactorsDict = {x:'' for x in areaList}" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'Data Security / Safety': '',\n", " 'External Impact': '',\n", " 'Integration': '',\n", " 'Funding Perspectives': '',\n", " 'Education': '',\n", " 'Publications': '',\n", " 'Relevance': '',\n", " 'Transfer of Knowledge': '',\n", " 'Effectivity': '',\n", " 'Dissemination': '',\n", " 'Competitiveness': '',\n", " 'Transfer of Expertise': '',\n", " 'Collaboration': '',\n", " 'Reputation': '',\n", " 'Usage': '',\n", " 'Communication': '',\n", " 'Efficiency': '',\n", " 'Transparency': '',\n", " 'Coherence': '',\n", " 'Sustainability': '',\n", " 'Innovation': ''}" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "areaFactorsDict" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "dfTempArea = dfImpactAreas[['Factor','Impact Area']]" ] }, { "cell_type": "code", "execution_count": 55, "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": 56, "metadata": {}, "outputs": [], "source": [ "under15list = []\n", "for key in ['Dissemination', 'Communication', 'Reputation', 'Publications', 'Innovation']:\n", " under15list.append((key, areaFactorsDict[key]))" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "dfUnder15 = pd.DataFrame(under15list)" ] }, { "cell_type": "code", "execution_count": 58, "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": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ctd = Counter(' '.join([x for x in dfUnder15[1].values]).split(','))\n", "ctd.most_common(5)" ] } ], "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }