1. Project Title:

"Zomato Restaurant's Analysis: Customer Insights and Trends"

2. Introduction:

• Helping the zomato to find out where they are lacking and how they can increase their rating's and make customer more satisfied their servies.

Dataset contains the following fields - i) Resturant Name ii) Online order iii) Booked table iv) Rating v) votes vi) approx cost (for 2 people) vii) type of resturant

3. Key Findings and Insights:

I founded these things though my analysis

• graph shows that majority of the people falls in the dinning category.

• graph concludes that dinnig restaurants have recieved max. votes.

• graph concludes that the ratings recieved by the resturants are b/w from 3.5 to 4.

• graph concludes that max. people prefer to order with in range from Rs 300-500.

• garph concludes that offline order recieved lower ratigns & online order recieved higher ratings.

• It concludes that dinning restaurants primarily accept offline orders, whereas cafes primarily recieve online orders. This suggests that clients preferred orders in person at restaurants, but prefer online ordering at cafe's.

• Libraries & Languages used --- Python, Jupyter notebook, numpy, pandas, seaborn, matplotlib