Skip to content

Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University

Notifications You must be signed in to change notification settings

anhnguyendepocen/msis_2629_exercises

 
 

Repository files navigation

MSIS 2629 Exercises

I created several exercises so you can practice doing more data visualizations.

I'd highly recommend you start with the exercises in the folder step_by_step. You can try to fill in the blanks with the exercises and compare your answers to my solution set.

Afterwards, you can try out the exercises in the practice_exercises. You can try to fill in the blanks with the exercises and compare your answers to my solution set.

Please message me on Slack for feedback on these. If you think there's a particular area you need more help in, I can point you in the right direction.

Note: there are fantastic datasets built into Seaborn that you can also prototype visualizations with. Their tutorials are here: https://seaborn.pydata.org/tutorial.html

About

Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%