Summarise the records by Country_Region to remove finer detail in the csse_covid_19_daily_reports.
(2) “Read CSV files” creates the SAS data sets in WORK by reading all of the CSV files in the csse_covid_19_daily_reports folder. (1) “run first” assigns the location of the data to the &_dir macro variable. Submit each program in order given below (or submit all of the programs in the project’s flow together):. The CSV files we will be using can be found in the /csse_covid_19_data/csse_covid_19_daily_reports folder. Update the “run first” program to include your GitHub file folder in the &_dir macro variable assignment. Open the CPF project file in SAS Studio (requires Base SAS and SAS/STAT) or SAS University Edition (making certain you have created a Shared Folder(s) first that are pointing to where your GitHub files and CPF project file are stored). Please check for comments here when updates are added. Download my SAS Studio CPF project file (John-Hopkins-GitHub-data.cpf), which is a zipped CPF file and will be updated occasionally with accepted submitted updates. This will reduce the time need to download all of the latest data each time you run the SAS Studio project, as a simple and quick Pull request in GitHub Desktop is all that is required each time. Clone the Johns Hopkins COVID-19 data at, and then Pull the latest data, using the GitHub Desktop. #SAS UNIVERSITY EDITION HOW TO#
For instructions on how to install SAS University Edition on your own computer please read my blog post “ Are you learning about SAS?”.
Download the GitHub Desktop software from and install it on your computer where you will be running SAS Studio or SAS University Edition.This is a project to read the daily Johns Hopkins COVID-19 data and visualise the national infection and fatality trends using Base SAS and SAS/STAT:
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