Data_Analytics Repository

This repository contains my explorations in analyzing and visualizing datasets using Python. Each project focuses on different tools, libraries, and real-world datasets to derive actionable insights.

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📜 Projects Overview

1. Python Data Analysis): Data Analytics cookbook and follow along practice.
2. Covid-19 Data Analysis: Analyze global trends and patterns related to the Covid-19 pandemic.
3. Exploring_Pandas_for_Data_Analysis: Hands-on practice with data manipulation using Pandas.
4. Plotly_Analysis: Interactive visualizations showcasing data storytelling using Plotly.
5. Statistical_Data_Visualization: Applying statistical methods to represent data graphically.
6. World_Bank_Science_Tech_Data_Analysis: Exploration of World Bank datasets related to science and technology.

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🛠 Technologies Used

• Python
• Pandas, NumPy
• Matplotlib, Plotly, Seaborn

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🚀 How to Get Started

1. Clone the repository: git clone https://github.com/yourusername/Data_Analytics.git
2. Navigate to a project folder: cd Data_Analytics/<project_name>
3. Install required libraries: pip install -r requirements.txt (if applicable)
4. Run the Jupyter Notebook or Python script.

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📈 Preview

Here's an example of a Plotly chart from one of the projects:
Plotly

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