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Glassdoor-Dataset-Cleaning

Overview

This Jupyter notebook is dedicated to cleaning and analyzing a dataset of data science jobs from Glassdoor. The primary goal of this project is to prepare the dataset for further analysis and insights into the data science job market.

Features

  • Kaggle Integration: Utilizing the Kaggle library to download datasets directly from Kaggle.
  • Data Cleaning: Detailed steps to clean the Glassdoor data science jobs dataset.
  • Data Analysis Preparation: Setting up the dataset for in-depth analysis.

Installation

To run this notebook, you need to install the Kaggle library and other dependencies. Use the following command to install Kaggle:

  • pip install kaggle

Data Source

The dataset used in this notebook is sourced from Glassdoor, specifically focusing on data science job postings.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes or improvements.

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