dlab-berkeley / computational-social-science-training-program Goto Github PK

Review of Python, pandas, mean/summary statistics, and basic plots.

Materials for the in-class lab on replicating a paper. Current plan is to replicate @jaeyk 's covid19antiasian paper.

Let's add a link to the README.md file so that people can launch the repo on the campus datahub.

In case there are problems with a participant's local installation, using the campus datahub is a great alternative for the workshop. For UCB-only based trainings, the datahub which uses CalNet authentication is a better option than using Binder. The campus datahub provides long-term persistent storage, whereas the Binder storage gets deleted after an hour of inactivity.

Using the nbgitpuller link generator it's possible to pull any arbitrary (non-private!) github repo into datahub, such as with this link that I generated:

https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FComputational-Social-Science-Training-Program&urlpath=tree%2FComputational-Social-Science-Training-Program%2F&branch=master

Just a test

Hi Aniket,

Following up on our email. It seems like the Diabetes_Number and Physical_Inactivity_Number columns are the same value in all the rows. Just wanted to check if that was supposed to be the case!

Thanks,
Paul

In-Class Lab for working with git and bash tools.