🍽️ UFood Data Analysis Project

Project Type: Personal Project

Tools Used: Python, pandas, seaborn, matplotlib

Link to Code;

nalwogaimmaculate36-maker/UFood-Data-Analysis: Exploratory data analysis of food delivery trends using Pandas

Overview:

Exploratory analysis of customer behavior for Brazil's leading food delivery app, built as part of the Analyst Builder case study.

🔍 What I did:

1. Cleaned and transformed customer data using Python and pandas

2. Engineered features like household size, education, marital status, and purchase channels.

3. Visualized campaign acceptance trends using seaborn and matplotlib.

📈 Key insights:

1. Ages 31-70 are most responsive to campaigns

2. Catalog shoppers accept more offers despite lower traffic

3. Fewer children correlate with higher spending and acceptance

Reading in the dataset file

Identify and

drop duplicates

Joining columns with similar data categories using Feature Engineering

DATA EXPLORATION AND VISUALIZATION