walkerke

library(idbr)
library(dplyr)
library(ggplot2)
library(tidyr)
library(countrycode)
library(gganimate)
library(tweenr)

ctrys <- countrycode(c('South Africa', 'Botswana', 'Lesotho', 'Namibia', 'Zimbabwe', 'Swaziland'), 
            'country.name', 'fips104')

cavedave

#This is inspired by this piral animation of the same dataset
#http://www.climate-lab-book.ac.uk/2016/spiralling-global-temperatures/
#and this R code to produce the animation
#https://gist.github.com/jebyrnes/b34930da0052a86f5ffe254ce9900357
# It also uses elements of this http://www.r-bloggers.com/making-faceted-heatmaps-with-ggplot2/ 
# and this https://rpubs.com/bradleyboehmke/weather_graphic graphic

library(dplyr)
library(tidyr)
library(ggplot2)

g0t4

Access this Gist via this shortened URL: https://git.io/vPj49

Errata / Updates

If anything changes, with regards to the material covered in this course, this will be the first place I share updates.

Docker Setup Links

• Docker for Windows docs
• MSDN Windows Containers

hrbrmstr

benmarwick

---
output: html_document
---
```{r, fig.show='hide', include=FALSE}
library(colformat)

x1 <- c("Using R Markdown and the colformats package we can put a sparkbar in 
line with the text using inline R code, like this `` `r '\x60r spark_bar(x)\x60'` ``. 
Here's a sparkbar showing a histogram of the number of characters 
in each word in this text: `r spark_bar(x2)`.  And here is a sparkbar 

stephenleo

SQL in Google Colab

All the code for the Medium Post