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.
🐍 Python 🧐 Exploratory Data Analysis ➡️ Data Transformation 👩🏽💻 Pivot Tables 👀 Data Visualization 📈 matplotlib.pyplot ⚙️ Feature Engineering 🤔 Critical and Analytical Thinking
- 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.