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briatte
Introduction to Data Analysis, using R (2013)
__TODO_FIRST:__ determine whether this section should be 1. about modelling _per se_ (in which case, show many models), 2. or about __general model classes__ (linear, nonlinear, hierarchical/multilevel, temporal/spatial effects and...
> cartography + sf: http://rgeomatic.hypotheses.org/1149 > linemaps: https://rgeomatic.hypotheses.org/1156 - [ ] Keep an introductory part with __simple choropleth maps in ggplot2__ - [possible example](https://ikashnitsky.github.io/2017/colorcoded-map/) - [ ] Keep geocoding example...
- [ ] __4.0 Basic data operators__ - [ ] (Tidy) data frames, `glimpse`, `rename` and `select`, `mutate`, `recode` - [ ] Plain text, `read_lines`, `stringr` functions - [ ]...
- Thomas Rahlf, _[Data Visualization in R. 100 Examples](http://www.datavisualisation-r.com/)_ (2017) - Soc Sci Quant - http://www.radstats.org.uk/ - http://www.penombre.org/ (French)
- [ ] Install `tidyverse` packages - [ ] Use `dplyr` to manipulate tidy data frames __Teach the tidyverse first:__ http://varianceexplained.org/r/teach-tidyverse/ (David Robinson) > Not entirely sure that I want...
This is one of the missing sections mentioned in #4. Business analytics perspective: - [k-means](http://www.business-science.io/business/2016/08/07/CustomerSegmentationPt1.html) - [PCA](http://www.business-science.io/business/2016/09/04/CustomerSegmentationPt2.html) - [cosine similarity/dendogram/tree/network viz](http://www.business-science.io/business/2016/10/01/CustomerSegmentationPt3.html) - [ ] Use `ggforce` to send PCA results...
- [Tutorial by Matt Dancho](http://www.business-science.io/timeseries-analysis/2017/07/02/tidy-timeseries-analysis.html)
- [ ] __3.0 Functions__, e.g. - [ ] Math - [ ] Data - [ ] Models – introduce formula notation - [ ] quickly mention plots, HTTP calls,...
Either way thanks for sharing this, easily the most interesting data analysis course I've found, great teaching!!
