README

Introduction

This repository contains code that utilizes the Pandas library for data manipulation and analysis. Pandas is a powerful Python library that provides easy-to-use data structures and data analysis tools, making it a popular choice for data scientists, analysts, and engineers.

Prerequisites

Before running the code, ensure you have the following installed:

• Python (version 3.6 or higher)
• Pandas library (install via pip install pandas)

It's recommended to set up a virtual environment to keep your dependencies isolated from other projects.

Getting Started

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/pandas-code.git
   

2. Navigate to the project directory:

   cd pandas-code
   

3. Install the required dependencies (if not done already, see Prerequisites):

   pip install -r requirements.txt
   

Overview of Code

The code in this repository demonstrates various functionalities of the Pandas library, including:

1. Data Loading: How to read data from different file formats such as CSV, Excel, JSON, etc.

2. Data Cleaning: Techniques for handling missing values, data imputation, and data transformation.

3. Data Manipulation: How to filter, sort, and group data based on specific criteria.

4. Data Analysis: Examples of calculating summary statistics, aggregations, and applying mathematical operations.

5. Data Visualization: Basic data visualization using Pandas and other compatible visualization libraries like Matplotlib or Seaborn.