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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

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Featured In

Event Logo Event Name Event Description
GirlScript Summer of Code Extended 2024 GirlScript Summer of Code Extended 2024 is a month-long open source program that encourages participants to contribute to various open source projects. It provides a collaborative platform for developers to enhance their coding skills, work on real-world projects, and give back to the community. Contributors engage in meaningful contributions by fixing bugs, adding features, improving documentation, and collaborating with project maintainers. This program is a fantastic opportunity for open source enthusiasts to learn, grow, and make an impact!

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

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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

Website

Deployed on

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

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