https://github.com/madhurimarawat/world-cup-2023-data-analysis
Explored team and player performance in the World Cup 2023 dataset through thorough EDA, uncovering insights on batting, bowling, opposition, ground dynamics, and temporal trends.
https://github.com/madhurimarawat/world-cup-2023-data-analysis
Last synced: 8 months ago
JSON representation
Explored team and player performance in the World Cup 2023 dataset through thorough EDA, uncovering insights on batting, bowling, opposition, ground dynamics, and temporal trends.
- Host: GitHub
- URL: https://github.com/madhurimarawat/world-cup-2023-data-analysis
- Owner: madhurimarawat
- Created: 2024-03-20T10:44:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-31T05:32:46.000Z (over 1 year ago)
- Last Synced: 2025-01-15T01:16:53.083Z (9 months ago)
- Language: Jupyter Notebook
- Size: 3.81 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# World-Cup-2023-Data-Analysis
Explored team and player performance in the World Cup 2023 dataset through thorough EDA, uncovering insights on batting, bowling, opposition, ground dynamics, and temporal trends.
## About Python Programming
--> Python is a high-level, general-purpose, and very popular programming language.
--> Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting-edge technology in Software Industry.
--> Python is available across widely used platforms like Windows, Linux, and macOS.
--> The biggest strength of Python is huge collection of standard library.
---
## Mode of Execution Used 
--> Colaboratory, or “Colab” for short, is a product from Google Research which allows anybody to write and execute python code in Jupyter notebook through the browser.
--> Visit colab at:
--> Create account using google account.
--> Once account creation is done, we can directly start coding in colab.
--> It supports Python and R.
--> Files are directly saved in Google Drive.
--> To install python library this command is used-
```
pip install library_name
```
---
## About Project
## **Data Visualization World Cup Dataset**
--> Data Visualization is the presentation of data in pictorial format.
--> Target was to see the performance analysis and variations using data visualization.
--> In this project visualization of CSV file containing data of players is done in python.
--> Data visualization is done to analyze performance of team and players.
--> Patterns found in the analysis are listed.
### Dataset Used
#### **Cricket Dataset**
--> This contains data about various players and respective data in Comma Separated Value (CSV) format.
--> CSV file contains the details of automobile-mileage,length,body-style among other attributes.
--> It contains the following dimensions-[1408 rows X 20 columns].
---
## Libraries Used
Short Description about all libraries used in Project.
- Pandas (Panel Data/ Python Data Analysis) - This library is mostly used for analyzing,
cleaning, exploring, and manipulating data. - Matplotlib - It is a data visualization and graphical plotting library.
- Seaborn - It is an extension of Matplotlib library used to create more attractive and
informative statistical graphics.
---
## Thanks for Visiting 😄
Drop a 🌟 if you find this repository useful.
If you have any doubts or suggestions, feel free to reach me.
📫 How to reach me: [](https://www.linkedin.com/in/madhurima-rawat/)