Exploratory Data Analysis (EDA) Public Learning Repository

Overview

Welcome to the EDA Public Learning Repository! This repository is dedicated to helping learners understand and perform Exploratory Data Analysis (EDA). It contains various Jupyter notebooks, datasets, and resources to guide you through the process of analyzing and visualizing data.

Cisco Certified Data Analyst

data-analytics-essentials

Skills: Data Analysis, Data Storytelling, Data Visualization, Tableau, Dashboard, Excel, SQL

data/: Datasets used for analysis.
notebooks/: Jupyter notebooks for EDA.
images/: Visualizations generated during the analysis.
README.md: Project overview and instructions.
resources/: Additional learning materials and references.

Getting Started

Prerequisites

To get started, ensure you have the following installed:

Python 3.x
Jupyter Notebook
Necessary libraries (listed in requirements.txt)

Installation

Clone the repository:

git clone https://github.com/haroontrailblazer/EDA-public-learning.git
cd eda-public-learning

Install the required libraries:

pip install -r requirements.txt

Usage

Navigate to the notebooks/ directory and open the Jupyter notebook:

jupyter notebook eda_example.ipynb

Follow the steps in the notebook to explore the data and generate visualizations.

Project Structure

Data Loading and Cleaning: Learn how to load and clean datasets.
Descriptive Statistics: Calculate and interpret summary statistics.
Data Visualization: Create and understand various plots and charts.
Feature Engineering: Generate new features from existing data.
Correlation Analysis: Analyze relationships between variables.

Contributions

Contributions are welcome! If you have any improvements, additional notebooks, or datasets to share, please fork the repository and submit a pull request.