Zomato Dataset

This dataset is a collection of restaurants that are registered on Zomato in Bengaluru City. In this dataset, we have more than 50000 rows and 17 columns, a fairly large dataset. You will be able to get hands-on experience while performing the following tasks and will be able to understand how real-world problem statement analysis is done.
In Data Analysis what all things we do

• Handling Missing Values
• Explore numerical features.
• Explore categorical features.
• Finding relations between features.

You have to perform the following tasks:

Explore the Data

• read the dataset
• understand each feature and write down the details.
• explore the dataset info, describe and find columns with categories, and numeric columns as well.

Data Cleaning:

• Deleting redundant columns.
• Renaming the columns.
• Dropping duplicates.
• Cleaning individual columns.
• Remove the NaN values from the dataset
• Check for some more Transformations

Data Visualization:

• Restaurants delivering Online or not
• Restaurants allowing table booking or not
• Table booking Rate vs Rate
• Best Location
• Relation between Location and Rating
• Restaurant Type
• Gaussian Rest type and Rating
• Types of Services
• Relation between Type and Rating
• Cost of Restaurant
• No. of restaurants in a Location
• Restaurant type
• Most famous restaurant chains in Bengaluru

Inferences:

• Write down the inferences about what you have learned from the dataset. i.e. Making sense of the data.
• what different problems we can solve through the dataset.

At last:

• Give yourself a small treat when you complete all the tasks.
• Great You have successfully completed the Data Analysis Project. Congrats.
• Keep up the good work always