| title | output |
|---|---|
Data Scientists' bookmarks |
html_document |
Taxonomy of links given in the coursera data science specialization, since the courses are no longer available after finishing them.
I would also call it the data scientists' bookmarks.
- R
- RStudio
- GitHub
- Plotting systems
- R base
- lattics
- ggplot2
- Markdown
- LaTeX
- R Markdown
- RPubs
- WolframAlpha
- rCharts
- slidify
- Shiny
- devtools
- roxygen2
- testthat
- Google Ngram
- httr for web scraping
- plyr
- reshape
- Gapminder
- Survey data
- Marketplace
- Kaggle
- PLOS
- rOpenSci
- Stanford Large Network Data
- UCI Machine Learning
- KDD Nugets Datasets
- CMU Statlib
- Gene expression omnibus
- ArXiv Data
- Public Data Sets on Amazon Web Services
- Hilary Mason http://bitly.com/bundles/hmason/1
- Peter Skomoroch https://delicious.com/pskomoroch/dataset
- Jeff Hammerbacher http://www.quora.com/Jeff-Hammerbacher/Introduction-to-Data-Science-Data-Sets
- Gregory Piatetsky-Shapiro http://www.kdnuggets.com/gps.html
- http://blog.mortardata.com/post/67652898761/6-dataset-lists-curated-by-data-scientists
- twitter and twitteR package
- figshare and rfigshare
- PLoS and rplos
- rOpenSci
- Facebook and RFacebook
- Google maps and RGoogleMaps
- Hierarchical
- K-Means clustering
- Dimension reduction