https://github.com/lkethridge/eda_project

Exploratory Data Analysis Project from TripleTen
https://github.com/lkethridge/eda_project

analytical-thinking bar-chart critical-thinking data-transformation data-visualization exploratory-data-analysis feature-engineering filtering-data histogram line-plot matplotlib pivot-tables python scatter-matrix scatterplot

Last synced: 3 months ago
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Exploratory Data Analysis Project from TripleTen

• Host: GitHub
• URL: https://github.com/lkethridge/eda_project
• Owner: LKEthridge
• License: cc0-1.0
• Created: 2025-01-18T22:48:47.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-01-19T00:52:45.000Z (5 months ago)
• Last Synced: 2025-02-02T05:28:59.206Z (4 months ago)
• Topics: analytical-thinking, bar-chart, critical-thinking, data-transformation, data-visualization, exploratory-data-analysis, feature-engineering, filtering-data, histogram, line-plot, matplotlib, pivot-tables, python, scatter-matrix, scatterplot
• Language: Jupyter Notebook
• Homepage:
• Size: 6.42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# EDA_Project

## *This was an Exploratory Data Analysis project for TripleTen. 👩🏽‍💻*

This project analyzes Instacart's 2017 data to uncover customer shopping habits and patterns. Findings reveal that customers primarily order fresh food, such as produce and dairy, with a strong preference for organic items. Most orders are small (1-5 items), but reorders make up 90% of each order on average. These insights can guide Instacart in optimizing advertising campaigns and customer retention strategies, such as promoting frequently reordered items or offering targeted discounts to re-engage inactive customers.

## Skills Highlighted

🐍 Python

🧐 Exploratory Data Analysis

➡️ Data Transformation

👩🏽‍💻 Pivot Tables

👀 Data Visualization

📈 matplotlib.pyplot

⚙️ Feature Engineering

🤔 Critical and Analytical Thinking

## Installation & Usage

* This project uses pandas and matplotlib.pyplot.  It requires python 3.9.6.

* Due to upload limitations, one data file could not be uploaded to GitHub.