EDA on Zomato Dataset , Data Cleaning and Data Visualization | Python for EDA

EDA on Zomato Dataset - Data Python for EDA

In our today's video, we are going to discuss the EDA on the Zomato Datasets such as Loading of the Dataset, Data Cleaning, and Data Visualization. It helps to discover insights from the data set, summarize the key relationships, identifying underlying parameters, etc.
EDA on Zomato Dataset helps organizations in studying the data at hand and unlocking patterns or trends to further define their KPIs (Key Performance Indicators). You have to follow a step-wise guide to perform such EDA on Zomato Dataset which we will be discussing in this video.

00:00 – Exploratory Data Analysis on Zomato Dataset
00:43 – Loading the Dataset
04:55 – Data Columns
07:12 – Duplicated function
07:54 – Information of data
08:53 – Reading column names
09:10 – Changing the column names
10:33 – Transformation in Data Type
11:47 – Changing cost to float
12:02 – Reading rate of dataset
12:55 – Removing from rate
14:33 – Adjust the column
14:48 – Encode the input variation
17:00 – Co-relation between different variations
17:59 – Column /name
22:19 – Data Visualization
28:21 – Table Booking Rate vs Rate
30:21 – Location
33:36 – Location vs Rating
36:36 – Restaurant type
38:55 – Gaussian rest type and rating
42:09 – Type of Service
44:32 – Type and Rating
46:26 – Cost of restaurant
48:33 – No.of restaurant in the location
50:35 – Type of Restaurant
51:48 – Most famous restaurant chains


Browse the full video, to know the steps to follow for EDA on Zomato Dataset.

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------------Pyhton for EDA-----------
# 1 Python for EDA - Introduction to Course, Course Structure, Syllabus and Overview of Data Analysis - https://youtu.be/BC2thvsrx2w
# 2 Python : Variables and Identifiers and Data Types | Python for EDA - https://youtu.be/LX3HcyPcGyY
# 3 Conditional statements and Comparators - Python for EDA - https://youtu.be/YYimyBVR0jY

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