/DataScienceSchool_FinalAssignment

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Final-Assignment

  • Step 1.

Added the Dataset provided to Workbench.

  • Step 2.

Used the Query shown below to get all the columns of the table between the years 2016-2019

image

  • Step 3.

Exported the data to a CSV file

  • Step 4.

Used Python and Pandas to Aggregate the CSV data so we can get the most popular item sold based on zip code and percentage of sales per store. Code and more details in the notebook: finalAssignment.ipynb

  • Step 5.

Present the Data using Tableau:

image

(https://public.tableau.com/app/profile/marianna8236/viz/final_assignment_16749257543570/Dashboard1?publish=yes)