pride-data-analysis/analysis
Nat e242fed907
Save data sets to the raw/processed folders
As discussed in #6, the IRS data set is too big for GitHub to handle.
So, some processing has been added to analysis/analisys2.ipynb to split
the data set into two parts and stored in the processed folder
2023-03-01 16:10:26 -08:00
..
code Uploaded CSV 2023-02-15 13:15:15 -08:00
ungraded Initial commit 2023-02-01 01:23:45 +00:00
README.md Initial commit 2023-02-01 01:23:45 +00:00
analysis1.ipynb Finalize Milestone 2 modifications, in line with checklist 2023-02-15 16:53:33 -08:00
analysis2.ipynb Save data sets to the raw/processed folders 2023-03-01 16:10:26 -08:00

README.md

Notebooks Folder

  • analysis1.ipynb : Teammate 1 should have Jupyter Notebook work stored here. Remember to change the header in this file to your names or an alias. Don't change the name of this file.
  • analysis2.ipynb : Teammate 2 should have Jupyter Notebook work stored here. Remember to change the header in this file to your names or an alias. Don't change the name of this file.
  • analysis3.ipynb : Teammate 3 should have Jupyter Notebook work stored here. Remember to change the header in this file to your names or an alias. Don't change the name of this file.
  • /ungraded/ : Anything you don't want to be marked or looked at can be placed in this folder.
  • You may add additional subdirectories within the current structure, but try to avoid creating any directories in the project root. If you have questions about this, you can ask the project TA.