Word Cloud Visualization

Introduction

This project aims to visualize the frequency of words in a dataset using a word cloud. The word cloud is a popular data visualization technique that represents textual data. It uses size and color to represent the importance and frequency of a word in the text.

Features

Removes stop words to reduce noise and enhance the relevance of the word cloud.
Allows customization of the word cloud, including color, font, layout, scaling, spacing, exclusion of specific words, and angles.
Uses the nltk library for stop words removal and the matplotlib and wordcloud libraries for generating and displaying the word cloud.

Installation

To install the necessary libraries, use pip:

pip install -r requirements.txt

Usage

Start mysql and import the dataset from an sqldump like the provided in the assets folder

cat assets/metal_bands.sql | mysql -u root -p databaseName

2.Run the script, For example:

python3 wordCloud.py

The script will display the word cloud using matplotlib.

Customization

You can customize the word cloud by modifying the parameters in the WordCloud() function. For example, to change the width and height of the word cloud, modify the width and height parameters:

wordcloud = WordCloud(width=1000, height=500).generate_from_frequencies(word_freq)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request or open an Issue if you have any suggestions or improvements.