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This software is currently under development. It can be used to visualise data into various forms of plots ranging from primary to advanced level. It can also be used as a finance tracker.

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GSSoc'24 Extended

Tech Stack

Python MySQL NumPy Pandas Matplotlib Tkinter HTML5 CSS3 JavaScript Microsoft Excel

Read the description below and start contributing now! If you like the project, show some love ❤️ and star the repo! ⭐

Important

Look for issues labeled with and ask for assignment if you can solve them.


Dataverse

Data Visualisation Software & Personal Finance Tracker

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Featured In

Event Logo Event Name Event Description
GSSoC Ext 24 GirlScript Summer of Code Ext 2024 GSSOC Ext is a one-month-long open-source program by the GirlScript Foundation that's running from October 1 to November 10, 2024 and encourages participants to contribute to various open source projects.
Hacktoberfest 24 Hacktoberfest 2024 Hacktober Fest is an annual celebration of open-source software development. It's a month-long event encouraging developers to contribute to open-source projects.

Table of Contents

About Dataverse Versions Use Dataverse Project Structure Preview Software Representation Make Contributions Website

What does this software do?

  • This software can be used to visualise data in many basic as well as advanced forms.
  • It allows the user to download the generated charts.
  • It can be used as a finance tracker, providing various useful outputs.
  • It supports data inputs from excel sheets.
  • The data can also be stored for later use.
  • Uses encryption techniques to securely store your passwords.

Versions

  • 6550(24) Latest
  • 06.02.24

Deployment Specifications

Dataverse is currently under development. It will be available for installastion soon.

However, you can follow these steps to run the project locally on your computer:

Important

Don't forget to read the prerequisites.

  • Clone the project

    git clone https://github.com/multiverseweb/Dataverse.git
    
  • Open software folder in VSCode.

    cd Dataverse/software
    
  • Go to mainGUI.py and run it.

Now the software should run locally with no errors, feel free to use the software and don't forget to give feedback on the website!


Prerequisites

For Data Visualization

  • You must have a python interpreter installed on your computer.

  • You must have python packages such as numpy, pandas, matplotlib, tkinter.

    pip install package_name
    

For Finance Tracker

  • For using the Finance Tracker, you must have MySQL installed on your computer. If you don't have it you can download it from here.
  • Go to line no. 15 under connecting MySQL section of financeTracker.py and change the values of host, user and passwd according to your MySQL account.
  • Also, run the command
    CREATE DATABASE FINANCE;
    
    on your MySQL workbench or commandline client.

Project Structure

Check the project structure here Project Structure before Contributing to the repository.

Preview

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Software GUI


View More


Visualised Finance Data


Relational Data

Software Representation

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ER Diagram for Finance Tracker


Contributions

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Want to contribute to this project? Follow these steps:

  • Star the Repository.
  • Go to issues, find an issue that you can solve or create a new issue.
  • Fork the repository.
  • Create a new branch (git checkout -b feature-branch).
  • Go to line no. 1 in script.js and append the name of your city to the cities array. (optional)
  • Make your contributions and commit them (git commit -m 'Add feature').
  • Push to the branch (git push origin feature-branch).
  • Create a Pull Request, so I can review and merge it.

Our Valuable Contributors ❤️✨

Contributors

Stargazers ❤️

Stargazers repo roster for @multiverseweb/Dataverse

Forkers ❤️

Forkers repo roster for @multiverseweb/Dataverse


Website

Deployed on

You can visit the live site for Dataverse and related tools here.

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About

This software is currently under development. It can be used to visualise data into various forms of plots ranging from primary to advanced level. It can also be used as a finance tracker.

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Languages

  • Jupyter Notebook 54.9%
  • Python 20.2%
  • HTML 12.2%
  • CSS 7.3%
  • JavaScript 5.4%