Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.
-
Updated
Feb 11, 2023
Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.
This project cleans and analyzes a tech layoffs dataset using MySQL and Python (Pandas) to compare their efficiency in data processing. It provides business insights into workforce trends, industry stability, and economic impacts to support data-driven decision-making.
Layoff Data Analysis using Hadoop MapReduce
Analyse Layoff Dataset from Airtable
SQL script for cleaning a dataset related to work layoffs. It removes duplicates, standardizes data, handles null values, and eliminates irrelevant columns and rows, ensuring data integrity
Data Cleaning and EDA for a Global Layoffs Dataset using MySQL
A complete SQL data cleaning and analysis project using MySQL to analyze global company layoffs from 2020-2023.
Performed EDA using SQL to track and analyze layoffs trends. Obtained data from Kaggle, utilized various processes to communicate various insights.
Add a description, image, and links to the layoffdata topic page so that developers can more easily learn about it.
To associate your repository with the layoffdata topic, visit your repo's landing page and select "manage topics."