Add your (R) plots and maps to Wikipedia!
There are plenty of opportunities to submit new (R) plots to Wikipedia. Let’s do it!
Setting up PostgreSQL and PostGIS to Run Spatial Queries in R [SQL Database Tutorial]
In this tutorial I will show how to set up PostgreSQL with PostGIS to run spatial queries in R. I cover installation of PostgresSQL, creating schemas, saving data to tables, connecting from R, and running spatial queries.
Global Deforestation Rates [Data Visualization]
Interactive map of of global deforestation rates using Leaflet and R.
Broadband Access [Data Visualization]
Interactive map of broadband internet access across Louisiana, USA
HBCU Enrollment [Data Visualization]
This week I explored the TidyTuesday dataset of the week: Fall enrollment in degree-granting historically Black colleges and universities (HBCU). I plotted the proportion of student enrollment by gender over time. Plot made in R with ggplot2.
The Bachelor (TV Show) [Data Visualization]
For this #TidyTuesday, I plotted the age of contestants on The Bachelor across >20 seasons. There was no significant trend in the age of contestants over time. The average age is between 25 and 27 with some variation from 21 to 34.
Tate Art [Data Visualization]
#TidyTuesday dataset of the week is the art collection of Tate Art Museum. I made a visual of the number of acquisitions made by Tate by decade taking into account what decade the art was created.
BBC Women of 2020 [Data Visualization]
#TidyTuesday dataset of the week is the BBC Women of 2020! I made an interactive web map using #rstats and LeafletJS
Toronto Homeless Shelters [Data Visualization]
The #TidyTuesday data of the week come from #OpenDataToronto on homeless shelters in Toronto and their occupancy from 2017 - 2019. I took a try at web map with help from #rstats and Leafletjs.
Washington Hiking [Data Visualization]
#TidyTuesday of the week for Washington Hiking data from @ WTA_hikers. You’re looking at the most common words used to describe parks in each region of WA (word clouds) and the most unique words used to describe each region (tf-idf). View code here.