Utility functions developed for Datawrapper
-
Updated
Apr 28, 2024 - TypeScript
Utility functions developed for Datawrapper
R-Package to connect to the Datawrapper-API
A Repository consisting of various visualisation libraries and tools
Respository for scraping and analysing fan data on a German audio drama called 'Die Drei Fragezeichen' (the three investigators).
Learn how you can use Python and the Datawrapper API to create a limitless number of charts and maps
A short dataviz course for beginners (in German)
Consulting banks with possible ATM locations in Essen
Concurso de Visualización: COVID-19, una pandemia, varias realidades.
A script that scrapes weather forecast data from the German Meteorological Service and then parses that data so that it can be displayed on a Datawrapper locator map
Visualize how the colors of selected websites changed over time
Python web app with hurricane hazard risk map visualizations, with capability for real-time updates
A front-end tool for the Datawrapper API based on Qt for Python.
set of option types that can be used by visualization plugins
Sample data vizualisation as part of a training on Javascript Frameworks for dataviz
📊 Scripts, analysis and copy for my data journalism pieces for the national newspaper, Eastern Eye
Are heavier bats ideal for attacking players to succeed in Australia?
Is it difficult to play in England with Heavier bats for overseas players in England? Bat weights (lbs.) vs Runs Per Innings (RPI) of Overseas players in England (Test cricket).
This project focuses on assessing the impact of disasters on human life through visualizations developed using different platforms
Add a description, image, and links to the datawrapper topic page so that developers can more easily learn about it.
To associate your repository with the datawrapper topic, visit your repo's landing page and select "manage topics."