Task: To perform Exploratory data analysis on the dataset using Python.

Turned the raw data and transformed it, into useful information by using Python Libraries.

To see the complete code and inferences : https://github.com/saimadhu27/Uber_Eats_Restaurants_EDA

About the datasets: This dataset contains 2 tables.

• Restaurants table

• Menus Table

Uber Eats is an online food ordering and delivery platform launched by Uber in 2014. Users can read menus, reviews and ratings, order, and pay for food from participating restaurants using an application on the iOS or Android platforms, or through a web browser. Users are also able to tip for delivery. Payment is charged to a card on file with Uber. Meals are delivered by couriers using cars, scooters, bikes, or on foot. It is operational in over 6,000 cities across 45 countries.

Let's take a look at some of the insights

Number of Restaurants in each state:

• AL - Alabama - 1107

• WY - Wyoming - 319

• WI - Wisconsin - 3509

• MN - Minnesota - 43

Top 10 cities which have more restaurants:

• Milwaukee has almost 600 restaurants

Popular Categories from Menus:

• Made from WordCloud library in Python

• As we can see some of the popular categories are Sandwiches, Sides, Beverages etc;