WZB Data Science Blog

Home
About
Legal notice / Impressum

zoom4_europe_moll

April 29, 2019 4:09 pm , Leave a Comment , Markus Konrad

Post Navigation

← Return to zoom4_europe_moll

Attachment Navigation

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Comment *

Name *

Email *

Website

Save my name, email, and website in this browser for the next time I comment.

Search for:

Recent posts

Some thoughts about the use of cloud services and web APIs in social science research
Continuous Integration testing with GitHub Actions using tox and hypothesis
Batch transfer GitLab projects with the GitLab API
Spatially weighted averages in R with sf
Clustered standard errors with R

Categories

APIs (4)
COVID-19 (2)
d3.js (3)
Data Mining (9)
Databases (3)
Django (3)
Experiment Implementation (3)
General (4)
GIS / spatial data (9)
git (2)
IO (2)
JavaScript (1)
Linkdump (135)
Machine Learning (3)
Network analysis (3)
NLP & Text Analysis (10)
oTree (3)
Parallel computing (2)
PDFs (5)
Presentation slides (2)
Python (32)
R (15)
Shiny (2)
Statistics (1)
Testing (3)
Visualization (13)
Web Development (6)
Web Scraping (5)

Links

me @ twitter
WZB Website
WZB @ Github
R-bloggers
RWeekly.org

Search for:

Links

me @ twitter
WZB Website
WZB @ Github
R-bloggers
RWeekly.org

Recent Posts

Some thoughts about the use of cloud services and web APIs in social science research
Continuous Integration testing with GitHub Actions using tox and hypothesis
Batch transfer GitLab projects with the GitLab API
Spatially weighted averages in R with sf
Clustered standard errors with R

Recent Comments

Some thoughts about the use of cloud services and web APIs in social science research – Data Science Austria on Some thoughts about the use of cloud services and web APIs in social science research
Samer on Clustered standard errors with R
Clustered standard errors with R - File4Me.com on Clustered standard errors with R
David Will on Interactive visualization of geospatial data with R Shiny
Simplifying geospatial features in R with sf and rmapshaper - File4Me.com on Simplifying geospatial features in R with sf and rmapshaper

Archives

Categories

APIs
COVID-19
d3.js
Data Mining
Databases
Django
Experiment Implementation
General
GIS / spatial data
git
IO
JavaScript
Linkdump
Machine Learning
Network analysis
NLP & Text Analysis
oTree
Parallel computing
PDFs
Presentation slides
Python
R
Shiny
Statistics
Testing
Visualization
Web Development
Web Scraping

Meta

Log in
Entries feed
Comments feed
WordPress.org

© Copyright 2024 - WZB Data Science Blog

Vortex Theme by WPVortex ⋅ WordPress