Hello and welcome to the NGSprint Data Visualization hackathon!
You will find materials and instructions for the Data Visualization hackathon during NGSprint event.
When: 8 - 15.09.2021
Where: Discord & Zoom
More info about the event can be found on the website.
During this hackathon we will explore what makes a good figure and how to avoid common pitfalls. We will discuss which rules are important and which we can treat as suggestions.
The tutorial part of the hackathon will be run in R, therefore you will need:
- A recent version of R (download fromhere);
- A recent version of RStdudio (download from here)
- packages listed in
prep_help.R(you will also find helper functions to install the packages in the file).
If you run into issues installing R and RStudio you can try RStudio Cloud - you will need to set up an account and install the packages using the code in the <- edited as the RStudio Cloud free account does not give enough resources.prep_help.R file.
If you don't feel confident using R I would highly recommend going through some of the NGSeminars, especially:
- Introduction to R [YouTube recording, GitHub repository] by Maja Kuzman
- R for Data Science (with tidyverse and ggplot2) [YouTube recording, GitHub repository] by Karolina Sienkiewicz
- R - functions and fundamentals [YouTube recording, GitHub repository] by Anamaria Elek
- Fundamentals of Data Visualization by Claus O. Wilke
- Data Visualization: A Practical Introduction. by Kieran Healy
- SDS 375/395 Data Visualization in R @ University of Texas at Austin by Claus O. Wilke and Anastasiya Kulikova.
- Data Visualization SOCIOL 880 @ Duke University by Kieran Healy
This was a groundbreaking visualisation that allowed to compare countries
John Burn-Murdoch keynote @ RSTUDIO::GLOBAL 2021
- 1854 Broad Street cholera outbreak map by John Snow
