Skip to content

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.

License

Notifications You must be signed in to change notification settings

shwetzz14/Dataverse

 
 

Repository files navigation

GSSoc'24 Extended

Tech Stack

Python MySQL NumPy Pandas Matplotlib Tkinter HTML5 CSS3 JavaScript Microsoft Excel

Project Mentors

Jency Maheshwari

Shubhrangi Pathak

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


Dataverse

Data Visualisation Software & Personal Finance Tracker

Github Visitors GitHub Repo stars GitHub contributors GitHub issues GitHub closed issues GitHub pull requests GitHub closed pull requests GitHub forks GitHub last commit GitHub repo size

Featured In

Event Logo Event Name Event Description
GirlScript Summer of Code Extended 2024 GirlScript Summer of Code is a three-month-long Open Source Program conducted every summer by GirlScript Foundation. It is an initiative to bring more beginners to Open-Source Software Development.

Table of Contents

About Dataverse Use Dataverse 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.

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.

Preview

Back to top

Software GUI


View More


Visualised Finance Data


Relational Data

Software Representation

Back to top

ER Diagram for Finance Tracker


Contributions

Back to top

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


Website

Deployed on

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

Back to top

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.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 52.3%
  • Python 30.9%
  • HTML 6.8%
  • CSS 6.4%
  • JavaScript 3.6%