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Exploratory and Statistical Analysis with Marketing Data

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Inupedia/Marketing-Analytics

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Table of Contents
  1. Download
  2. About The Project

Download

You can either left click green button "Code" to download the zip file or clone the repository as following steps.

Prerequisites

python

npm install python

Clone

Clone the repo

git clone https://github.com/Inupedia/Marketing-Analytics.git

Use

You can modify the main.py and output the result

python3 main.py

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About The Project

In this project, we investigated Marketing Data to analyze a marketing campaign. The dataset includes a variety of information about customers like education, income, marital status, children, amount of money spent on different products, and customers’ responses on campaigns. Also, the data shows us how customers have done their purchases through different means. The dataset includes 2,240 samples of customers behaviors in the last 2 years that have been featured by 28 variables. In this project, by analyzing customers’ behaviors in the past, we want to see whether they will respond to a future marketing campaign.

Data Preparation and Exploratory

  • Cleaning a collection of variables, including identifying and handling missing data
  • Performing initial analyses including distributions, transformations and decompositions on key variables
  • Merging data that will be important in later analyses
  • Visualizing relationships between the variables in the dataset and related data
  • Computing initial regressions to determine strengths of relationships

Data Analysis

  • Regression Analysis
  • Principal Component Analysis
  • Linear Discriminant Analysis
  • Cluster Analysis

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Exploratory and Statistical Analysis with Marketing Data

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