Wikidata:WikiProject Open Government Data/Analysing Open Data

There are currently many OGD portals providing open data. At the same time, many open data enthusiasts implement and publish code that analyses such open data sets. The goal of this page is to create an index of data analysis code (and the corresponding raw data) that people have worked on in different contexts, ranging from hackathons / datathons, to individual or research projects.

Index of Data Analyses of OGD Data Sets

Title	Description	Author	Raw Data Set(s)	Short Description of the Data	Provenance of the Data	License of the Data	Data Analysis Code	Programming Language	Short Description of the Data Analysis Code	License of the Data Analysis Code	Report / Web Site with Documentation
Bikes in zurich	From the notebook: "In this notebook we will look at how the total number of cyclists varies across the year and what the distribution of cyclists looks like on an average day."	Tim Head	Bikes: https://hub.gke.mybinder.org/user/wildtreetech-explore-open-data-889og1uo/tree?	Number of bikes in each direction at bike stations in the city of Zurich.	Stadt Zurich	CC0	https://hub.gke.mybinder.org/user/wildtreetech-explore-open-data-889og1uo/notebooks/bikes-per-week.ipynb	Python	The notebook looks into e.g. average cyclists per hour.	BSD 3-Clause License.	https://data.stadt-zuerich.ch/showcase/mybinder-org-use-case-mit-open-data-der-stadt-zurich
RIS-API, Gemeinderat Stadt Zürich (GRZ)	This notebook contains some examples to show how to work with the RIS API.	Stefan Oderbolz (Open Data Zurich)	RIS-API: https://data.stadt-zuerich.ch/dataset/parlamentsdienste_ris_api	API of the Gemeinderat of Zurich (legislative) to get their members, acts, meeting minutes and more	Stadt Zurich	CC0	https://github.com/opendatazurich/opendatazurich.github.io/blob/master/ris-api/RIS-API-Beispiele.ipynb	Python	Example usage of the API, get members or acts.	MIT	https://opendatazurich.github.io/ris-api/
Zurich Tourismus API	How to get information from the Zurich Tourism API (taxonomy of categories, images)	Stefan Oderbolz (Open Data Zurich)	Zurich Tourismus API documentation: https://zt.zuerich.com/de/open-data	API of Zurich Tourism to get restaurants, hotels, bars and points-of-interest (incl. images)	Zürich Tourismus	CC-BY-SA	https://github.com/opendatazurich/opendatazurich.github.io/blob/master/zt-api/ZuerichTourismusAPI-Beispiele.ipynb	Python	Example usage of the API, get taxonomy, images, show restaurants on a map	MIT	https://opendatazurich.github.io/zt-api/
ParkenDD API	ParkenDD has time series of the occupation of car parks. This notebooks shows how to extract entries from the API	Stefan Oderbolz (Open Data Zurich)	ParkenDD API: https://api.parkendd.de/	API of ParkenDD to get information about car parks, their occupation and the possibility to get a time series of the occupation	ParkenDD	?	https://github.com/opendatazurich/opendatazurich.github.io/blob/master/parkendd-api/ParkenDD-Beispiel.ipynb	Python	Extract the time series of car park occupation	MIT	https://opendatazurich.github.io/parkendd-api/
Web Feature Services (WFS) of the City of Zurich	Zurich provides many datasets as WFS API. The notebook describes how to get data from a WFS service	Stefan Oderbolz (Open Data Zurich)	Geoportal (portal for geodata of Zurich): https://www.ogd.stadt-zuerich.ch/geodaten/	Geodata (point, line, polygon)	Stadt Zürich	Mostly CC-Zero, check for each dataset	https://github.com/opendatazurich/opendatazurich.github.io/blob/master/geoportal/Geoportal-Beispiele.ipynb	Python	Extract data from a WFS (e.g. as GeoJSON)	MIT	https://opendatazurich.github.io/geoportal/
Air quality data analysis	Monthly updated air quality data from different stations in the City of Zurich	Stefan Oderbolz (Open Data Zurich)	Luftqualitätsmessung: https://data.stadt-zuerich.ch/dataset/luftqualitaet-historisierte-messungen	Measurements of the air (temperature, humidity, ozone, fine particles, ...)	Stadt Zürich	CC-Zero	https://github.com/opendatazurich/quality-checks/blob/master/luftqualitaet/Luftschadstoffdaten%20(1983%20bis%20heute).ipynb	Python	Parse the CSV file with pandas, compare data from different years, plot data	MIT
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There are also many other Open Data Sets that might not be strictly be OGD but is still interesting for this community. We can add the entries for such cases in this other table:

Index of Data Analyses of Open Data Sets (that are not classified as OGD but are still interesting)

Title	Description	Author	Raw Data Set(s)	Short Description of the Data	Provenance of the Data	License of the Data	Data Analysis Code	Short Description of the Data Analysis Code	License of the Data Analysis Code	Report / Web Site Documenting Results	Other Documentation
Example	Example	Example	Example	Example	Example	Example	Example	Example	Example	Example	Example