mine-cetinkaya-rundel / ds-ed-enar2018Links
Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
☆20Updated 7 years ago
Alternatives and similar repositories for ds-ed-enar2018
Users that are interested in ds-ed-enar2018 are comparing it to the libraries listed below
Sorting:
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- Databases using R☆22Updated 7 years ago
- R for Reproducible Research tutorial☆28Updated 8 years ago
- Methods workshop: Automated Text Analysis with R☆34Updated 9 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Course materials for Sta 101 - Spring 2016 semester at Duke University☆38Updated 9 years ago
- Slides and materials for my talk to the Madison R Users Group☆33Updated 10 years ago
- Solutions for Data Science in the tidyverse☆17Updated 7 years ago
- ☆23Updated 6 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- Tools to complement building and using R packages installed from GitHub☆25Updated 9 years ago
- Predictions for the 2016 ASA Election Prediction Contest☆10Updated 8 years ago
- Slides and materials for the "R Markdown: Eight ways" talk at rstudio::conf 2018☆38Updated 7 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 9 years ago
- ☆22Updated 4 years ago
- My older Jekyll blog, based on the So Simple theme☆24Updated 8 years ago
- Year in Review with R Rmd Template☆34Updated 7 years ago
- Course website for JOURN 8016: Advanced Quantitative Research Methods☆13Updated 6 years ago
- demos, teaching resources, etc.☆18Updated 6 years ago
- ☆22Updated 5 years ago
- Public sector employee salaries☆16Updated last year
- Slides/code/data from rstudio:: conf 2017☆51Updated 8 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- ☆76Updated 11 months ago
- Notes about why an R user would use Docker☆58Updated 7 years ago
- Travel smoothly between country name and code formats☆34Updated 4 years ago
- split data with functions, transform pieces into plot layers, combine in a variety of ways☆23Updated 12 years ago
- Quick tidytext examination of Mueller vs. Watergate reports☆16Updated 6 years ago