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Retail Marketing Exploratory Data Analysis and Data Preprocessing

Problem Statement on Kaggle

The project is based on exploratory data analysis and data preprocessing methods to understand the marketing campaigns and their outcomes. It involves making use of univariate and bivariate analysis, visualization methods, garbage value treatment, and data manipulation methods to answer queries related to consumer's purchasing pattern and prepare a report for the management team.

Dataset Used:

marketing_data.csv

Skills & Tools Covered:

  • Data Visualization
  • Data Cleaning
  • Handling missing values
  • Univariate Analysis
  • Bivariate Analysis
  • Seaborn
  • Python