PDA Assignments
  • Python For Data Analytics
    • 1.Python
      • 1.Python Documents
        • 1.Data Types
        • 2.Variables In Python
        • 3.Operators In Python
        • 4.User Input In Python
        • 5.TypeCasting In Python
        • 6.Strings In Python
        • 7.Conditional Statements In Python
        • 8.Branching using Conditional Statements and Loops in Python
        • 9.Lists In Python
        • 10.Sets In Python
        • 11.Tuples In Python
        • 12.Dictionary In Python
        • 13.Functions In Python
        • 14.File Handling In Python
        • 15.Numerical Computing with Python and Numpy
      • 2.Python Assignments
        • Data Type & Variables
        • Operators Assignment
        • User Input & Type Casting
        • Functions- Basic Assignments
        • String Assignments
          • String CheatSheet
        • Conditional Statements Assignments
        • Loops Assignments
        • List Assignments
          • List Cheatsheet
        • Set Assignments
          • Sets Cheatsheet
        • Dictionary Assignments
          • Dictionary Cheatsheet
        • Function Assignments
        • Functions used in Python
      • 3.Python Projects
        • Employee Management System
        • Hamming distance
        • Webscraping With Python
          • Introduction To Web Scraping
          • Importing Necessary Libraries
          • Basic Introduction To HTML
          • Introduction To BeautifulSoup
          • Flipkart Web Scraping
            • Scraping Step By Step
        • Retail Sales Analysis
        • Guess the Word Game
        • Data Collection Through APIs
        • To-Do List Manager
        • Atm-functionalities(nested if)
        • Distribution of Cards(List & Nested for)
        • Guess the Number Game
      • 4.Python + SQL Projects
        • Bookstore Management System
    • 2.Data Analytics
      • 1.Pandas
        • 1.Pandas Documents
          • 1.Introduction To Pandas
          • Reading and Loading Different Data
          • 2.Indexing and Slicing In Pandas
          • 3.Joining In Pandas
          • 4.Missing Values In Pandas
          • 5.Outliers In Pandas
          • 6.Aggregating Data
          • 7.DateTime In Pandas
          • 8.Validation In Pandas
          • 9.Fetching Data From SQL
          • 10. Automation In Pandas
          • 11.Matplotlib - Data Visualization
          • 12. Seaborn - Data Visualization
          • 13. Required Files
        • 3.Pandas Projects
          • Retail Sales Analysis
            • Retail Sales Step By Step
          • IMDB - Dataset Analysis - Basic
        • 2. Pandas Assignments
          • 1. Reading and Loading the Data
          • 2. Data frame Functions and Properties
          • 3. Series - Basic Operations
          • 4. Filtering in Pandas
          • 5. Advance Filtering
          • 6. Aggregate Functions & Groupby
          • 7. Pivot Tables
          • 8. Datetime
          • 9. String Functions
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On this page
  • Introduction To Project
  • Project Setup
  • Merging Files
  • Data Cleaning
  • Months and Days
  • Revenue
  • City
  • Cross - Selling Part 1
  • Cross Selling Part 2
  1. Python For Data Analytics
  2. 2.Data Analytics
  3. 1.Pandas
  4. 3.Pandas Projects
  5. Retail Sales Analysis

Retail Sales Step By Step

PreviousRetail Sales AnalysisNextIMDB - Dataset Analysis - Basic

Last updated 1 year ago

Introduction To Project

Project Setup

Merging Files

Data Cleaning

Months and Days

Revenue

City

Cross - Selling Part 1

Cross Selling Part 2