https://github.com/prajjwol09/exploratory-data-analysis-project

This project focuses on performing Exploratory Data Analysis (EDA) on a 'layoffs' dataset to uncover key insights and patterns within the data. Using MySQL Workbench as the workspace, various data exploration techniques have been employed.
https://github.com/prajjwol09/exploratory-data-analysis-project

datanalytics

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This project focuses on performing Exploratory Data Analysis (EDA) on a 'layoffs' dataset to uncover key insights and patterns within the data. Using MySQL Workbench as the workspace, various data exploration techniques have been employed.

• Host: GitHub
• URL: https://github.com/prajjwol09/exploratory-data-analysis-project
• Owner: Prajjwol09
• Created: 2024-08-12T10:39:08.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-12T10:48:18.000Z (3 months ago)
• Last Synced: 2024-08-12T12:13:24.159Z (3 months ago)
• Topics: datanalytics
• Homepage:
• Size: 55.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Exploratory Data Analysis (EDA)

Overview:

This project involves conducting an Exploratory Data Analysis (EDA) on a 'layoffs' dataset using MySQL Workbench. The primary goal is to explore the dataset, uncover patterns, and derive insights that can help understand the underlying factors contributing to layoffs across various sectors.

Tools and Technologies:

MySQL: Used for querying and analyzing the data.

MySQL Workbench: Served as the workspace for performing the analysis, providing a robust environment for executing SQL scripts and visualizing results.

Dataset:

The dataset used for this analysis is a CSV file named "layoffs" which contains records related to layoffs across various industries and regions. This dataset has been pre-cleaned in a prior project to ensure accuracy and consistency in the analysis.