Chapter 2 Getting the data

For this exercise, we will use two datasets, both of them already “cleaned”, it will spare use the long process of data wrangling.

• for Uber, just retrieve the data from this link : download

• for OpenStreetMap, we use the GeoFabrik website to download the berlin-latest-free.shp.zip shapefile

Once we are done with those downloads (less than 1GB altogether), we can unzip and store them in the /data folder.

Your /data folder should look like this :

folder structure

Then we can start with the R code, create a new Notebook,and load the necessary packages with the help of pacman. What pacman does it it checks if the required packages are already installed and if not, install them automatically :

if (!require("pacman")) install.packages("pacman")
pacman::p_load(data.table,
  'lubridate',
  'ggplot2',
  'leaflet',
  'sf',
  'plotly',
  'ggthemes',
  'purrr',
  'magick',
  'plotrix',  # For color scales
  'classInt')