https://github.com/sumidcyber/dataviz-master

This Python application provides a user-friendly interface to load and visualize the contents of a CSV file. Users can choose from various types of graphs and perform analyses on the dataset.
https://github.com/sumidcyber/dataviz-master

data-analysis data-analysis-project data-analysis-python database databases python python3

Last synced: about 1 month ago
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This Python application provides a user-friendly interface to load and visualize the contents of a CSV file. Users can choose from various types of graphs and perform analyses on the dataset.

• Host: GitHub
• URL: https://github.com/sumidcyber/dataviz-master
• Owner: SUmidcyber
• Created: 2024-03-25T22:47:17.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-25T22:59:36.000Z (8 months ago)
• Last Synced: 2024-10-13T02:05:54.329Z (about 1 month ago)
• Topics: data-analysis, data-analysis-project, data-analysis-python, database, databases, python, python3
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Visualization Application

# Data Visualization

# This Python application provides a user-friendly interface to load and visualize the contents of a CSV file. Users can choose from various types of graphs and perform analyses on the dataset.

# Features

    CSV File Loading: Ability to load CSV files.

    Graph Creation: Creating various types of graphs on different columns in the dataset (histograms, bar charts, etc.).

    Interactive Viewing: Interactive viewing and customization of graphs.

    User-friendly Interface: A user-friendly interface for ease of use.

Usage

    Clone the repository: 

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

Install the required dependencies:

    pip install -r requirements.txt

Run the main.py file:

    python3 analysis_files.py

# Press "2" to upload the CSV file.

# Select the type of graph and enter additional details if needed.

# Close the graph and wait for the program to terminate.