Exploratory Data Analysis (EDA) for 10-Academy-week1-challenge

Overview

This repository contains code and documentation for performing exploratory data analysis (EDA) on telecom data.

Goals To Achieve

User Overview analysis
User Engagement analysis
User Experience analysis
User Satisfaction analysis

Project Title

What is EDA?

EDA is the process of investigating the characteristics of data to:

Gain insights and understanding
Identify patterns and trends
Detect anomalies and outliers
Prepare data for further analysis

What this repository includes:

Jupyter notebooks containing code for EDA
Data visualization graphs and charts
Descriptive statistics and summary tables
Documentation explaining the analysis steps and findings
Scripts for data cleaning and manipulation

Getting started:

Clone this package

Clone this repository:

git clone https://github.com/your_username/eda_for_your_data.git

Install the required dependencies:

pip install -r requirements.txt

Python Environment:
```
python -m venv your_env_name
```
Replace your_env_name with the desired name for your environment.

Activate the environment:
- On Windows:
```
.\your_env_name\scripts\activate
```
- On macOS/Linux:
```
source your_env_name/bin/activate
```

Open the Jupyter notebooks in a Jupyter environment and run the code.

Review the documentation and visualizations to understand the results.

Contributions:

We welcome contributions to this repository. Please feel free to submit pull requests with improvements to the code, documentation, or visualizations.

License:

This repository is licensed under the MIT license.

dev-abuke/User_Analysis_10_Academy_Week1