/explore
|
You are here 
|
finnstats.com | ||
| | | | |
zevross.com
Over the last year I have changed my data processing and manipulation workflow in R dramatically. Thanks to some great new packages like dplyr, tidyr and magrittr (as well as the less-new ggplot2) ... |
|
| | | | | ||
| | | | |
jaketae.github.io
In this post, we will continue our journey down the R road to take a deeper dive into data frames. R is great for data analysis and wranging when it comes to dealing with tabular data, especially thanks to the dplyr package, which is R's equivalent of Python's pandas. |
|
| | | | | ||
| | | | |
aosmith.rbind.io
Since January is the month for analyzing last year's data, I take a quick look at my 2017 gas mileage in my commuter car (Fiesta! ?). I use package googlesheets for reading data, skimr for a quick summary of the dataset, and ggplot2 for plotting. |
|
| | | | | ||
| | | | |
freerangestats.info
I set out to improve a Sankey plot that had been shared as an example of how bad they are, and hopefully show that some careful design decisions and polish can make these plot useful for purposes like seeing cohorts' progress (up, down, same) over time. |
|
| | | |||
