Data Analysis with Python Projects

Hey there! Welcome to my "Data Analysis with Python" projects repository. This is from the freeCodeCamp course, and I've put together a bunch of projects here. You'll find different techniques for analyzing data using Python, along with some popular libraries like pandas, numpy, seaborn, and matplotlib. Enjoy exploring and learning!

Projects:

1. Mean-Variance-Standard Deviation Calculator

   • Description: A calculator that computes the mean, variance, and standard deviation.

2. Demographic Data Analyzer

   • Description: Analyze demographic data using pandas.

3. Medical Data Visualizer

   • Description: Visualize medical examination data using seaborn.

4. Page View Time Series Visualizer

   • Description: Visualize time series data of page views on a website.

5. Sea Level Predictor

   • Description: Predict the future sea level rise using linear regression.

How to Use:

Each project is contained within its own directory. You can explore the code and run the scripts as needed.

Requirements:

• Python 3.x
• pandas
• numpy
• seaborn
• matplotlib

Install the required libraries using pip:

pip install pandas numpy seaborn matplotlib

Getting Started:

To get started with any project, simply navigate to its directory and run the corresponding Python script.