Skip to content
#

dining-trends

Here is 1 public repository matching this topic...

Exploratory Data Analysis (EDA) on Bengaluru restaurant data to uncover insights into ratings, cuisines, cost, location, and dining trends. Built using Python, Pandas, Seaborn, and Matplotlib to understand customer behavior and food business patterns.

  • Updated Jul 8, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the dining-trends topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dining-trends topic, visit your repo's landing page and select "manage topics."

Learn more