/Sales-Analysis

It consists of cleaning, and analyzing of data from an Electronic Device Sales Store.

Primary LanguageJupyter Notebook

Sales-Analysis

This repository consists of Electronic Device Sales Store data analysis.

Packages used were:

  . pandas
  . os
  . matplotlib
  . itertools

Firstly, 12 months worth of sales data were merged into one file and the data was cleaned by droping NaN rows and deleting null cells.

Set questions were created to guide the projects:

  The questions were:
  . What was the best month for sales? How much was earned that month?
  . What city had the highest number of sales?
  . What time should we display advertisements to maximize likelihood of customer's buying products?
  . What products are most often sold together?
  . What product sold the most? why do you think it sold the most?

With the help of Matplotlib, the concluded informations were graphically represented.