2020 | 2nd semester of Computer Science

Data Visualization - Engineering Studies

This repository contains a collection of exercises and solutions related to basic data manipulation and visualization. The exercises are designed to develop fundamental programming skills in Python, with a focus on NumPy and Pandas for data handling and Matplotlib for visualizing data.

Exercises

The repository includes solutions to various exercises, including but not limited to:

• Basic data manipulation with NumPy and Pandas
• Visualizing data with Matplotlib
• String manipulations and formatting
• Basic mathematical computations
• Operations with arrays and matrices
• Complex number operations
• Basic control flow (loops, conditionals)

List of Key Exercises

• Data Manipulation with NumPy and Pandas - Operations like creating arrays, reshaping them, performing mathematical computations, and manipulating arrays.
• String and List Operations - Various tasks related to manipulating strings, lists, and working with collections of data.
• Data Visualization - Generating plots and charts (line plots, scatter plots, pie charts) to represent data.
• Basic Computational Tasks - Implementing algorithms for mathematical tasks and logical problem-solving.

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/dormej/data-visualization.git

2. Navigate to the repository directory:

   cd data-visualization

3. Ensure you have Python 3 installed, along with the necessary libraries (e.g., NumPy, Matplotlib):

   pip install numpy pandas matplotlib

4. Open any .py file (e.g.m main.py) in your preferred text editor, then run the script:

   python main.py