Data Visualization and Clustering

This repository contains a tool for visualizing and analyzing large or complex data sets. The tool is implemented in Python and makes use of the Pandas and Matplotlib libraries.

Features

• Calculates basic statistics for a data column (mean, standard deviation, minimum value, maximum value).
• Creates a histogram to visualize the distribution of the data.
• Uses K-Means clustering to group the data into clusters.
• Creates a scatterplot to visualize the clusters.

Usage

1. Clone or download the repository.
2. Install the required libraries: Pandas and Matplotlib.
3. Update the analyze_data function to specify the path to your data file and the name of the column to analyze.
4. Run the analyze_data function to visualize and analyze the data.

Example

analyze_data("data.csv")

Contributions

Contributions are welcome! If you have an idea for a new feature or improvement, please open an issue or submit a pull request.