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1
Introduction
2
Agenda
3
Exploratory Data Analysis
4
Why EDA is important
5
Types of exploratory data analysis
6
Examples of exploratory data analysis
7
Multivariate analysis
8
Box plots
9
Advantages of EDA
10
Welcome
11
Questions
12
Data Sets
13
Fun Questions
14
Google Collab
15
Getting Started
16
Error
17
Data Analysis
18
Data Preprocessing
19
More Fun Questions
20
Conclusion
Description:
Explore the world of data analysis through a practical case study on Indian Premier League (IPL) data using Exploratory Data Analysis (EDA). Learn the importance of EDA, its various types, and advantages while gaining hands-on experience with Python programming. Dive into multivariate analysis, box plots, and data preprocessing techniques. Engage with fun questions, work with real-world datasets, and utilize Google Colab for a comprehensive learning experience. Discover how to extract valuable insights from data and apply these skills to solve practical problems across various industries.

IPL Data Analysis Using EDA - Exploratory Data Analysis Case Study

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