Timo Grossenbacher (@grssnbchr)
github

grssnbchr

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  • Stars
    star
    390
  • Global Rank 71,771 (Top 3 %)
  • Followers 340
  • Following 15
  • Registered about 12 years ago
  • Most used languages
    Shell
         25.0 %
    R
         25.0 %
    JavaScript
         25.0 %
    Python
         16.7 %
    CSS
         8.3 %
  • Location πŸ‡¨πŸ‡­ Switzerland
  • Country Total Rank 861
  • Country Ranking
    R
         34
    Shell
         57
    JavaScript
         281
    CSS
         513
    Python
         2,016

Top repositories

1

thematic-maps-ggplot2

Beautiful thematic maps with ggplot2 (only)
R
98
star
2

bivariate-maps-ggplot2-sf

Beautiful bivariate thematic maps with ggplot2 and sf
Shell
84
star
3

rddj

Resources for doing data journalism with R.
JavaScript
78
star
4

rddj-template

A template for bootstrapping reproducible RMarkdown documents for data journalistic purposes.
Shell
56
star
5

categorical-spatial-interpolation

Categorical spatial interpolation with R
R
26
star
6

rddj-reproducibility-workflow

A tutorial repo for transparent and reproducible data journalism.
Shell
16
star
7

node-pdfparser-example

little node script to parse a few hundred pdfs of the same form and save results in a csv
JavaScript
16
star
8

caldav-to-ics

A small script that turns a caldav calendar into an ics file that can be read by Google Calendar
Python
5
star
9

worldoil

Global Oil Production and Consumption Data Visualization using D3.js
JavaScript
3
star
10

nrdl-rddj

Presentation am #datenlabor15 ΓΌber Transparenz und Reproduzierbarkeit im #ddj
CSS
2
star
11

cas-infe-pwned

A "Huge Data" Project
Python
2
star
12

uzh-it-web-scraping-in-r

Demos and exercise solutions for UZH IT Web Scraping in R course
R
2
star
13

DataharvestCommissionersAgenda

Data scraping from EU commissioners' agendas
2
star
14

data-sources

A non-exhaustive, opiniated list of data sources for journalistic endeavours
1
star