Data Analysis with Python

• Project file contains data "online_retail2.xlsx" and python implementation in "proje.ipynb"

Data

• Data used in this project is a .xlsx file that consists of transactions occuring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.

Tasks

• In this project ; some tasks are completed with the implementations of simple functions from pandas library and visualizations in order to extract useful information from the data

• 5 tasks

  • Top 10 products that ordered by individuals.
  • Top 10 customers who spent the most money.
  • 5 dates in which the greatest number of orders were placed.
  • Average number of orders on the days of the week..
  • Most ordered product for a specific date given by user.

• Visualizations

  • Product-Quantity Diagram
  • SpentMoney-InvoiceDate Diagram
  • Order-Country Diagram
  • Top 10 Customers spent the most money.