Skip to content

Welcome to the Data Decoded series, a comprehensive collection of data-driven solutions across various industries. This repository aims to uncover hidden insights and tell compelling stories through data analysis and visualization.

Notifications You must be signed in to change notification settings

th-shristi/DataDecoded

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Data Decoded: Unveiling Insights Across Industries

Overview

Welcome to the Data Decoded series, a comprehensive collection of data-driven solutions across various industries. This repository aims to uncover hidden insights and tell compelling stories through data analysis and visualization. Each project within this series dives deep into different industries, providing detailed analysis, visualizations, and interactive dashboards.

Projects

  1. Cosmetic and Beauty Industry
    • Analysis of product name, pricing, and ratings across top brands and websites.

More projects coming soon!

Project Structure

  • Data: The raw and cleaned datasets used for analysis.
  • Notebooks: Jupyter notebooks containing detailed data analysis and visualizations.
  • Dashboards: Interactive Power BI dashboards for exploring the data.

Getting Started

Prerequisites

To get started with this project, you will need:

  • Python (3.7+)
  • Jupyter Notebook/Google Colab
  • Power BI Desktop

Installation

Clone the repository:

git clone https://github.com/th-shristi/DataDecoded.git

Navigate to the project directory:

cd DataDecoded

Install the required Python packages:

pip install -r requirements.txt

Contributing

We welcome contributions to the Data Decoded series! If you have ideas, suggestions, or improvements, please submit a pull request or open an issue.

Contact

For any inquiries or feedback, please contact:

Thank you, and let's dive into data!

About

Welcome to the Data Decoded series, a comprehensive collection of data-driven solutions across various industries. This repository aims to uncover hidden insights and tell compelling stories through data analysis and visualization.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published