Dataverse

Data Visualisation Software & Personal Finance Tracker

Featured In

Event Logo	Event Name
	GirlScript Summer of Code Ext (GSSoC'24) 2024
	Hacktober Fest 2024

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Table of Contents

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

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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.

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Versions

• v.XM45'24 Under Development
• v.6550(24) Latest
• v.06.02.24

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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 main.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!

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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 DATAVERSE;
  

  on your MySQL workbench or commandline client.

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Repository Structure

📂 Repository Structure

Preview

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Software GUI

View More

Visualised Finance Data


Relational Data

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Software Representation

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ER Diagram for Finance Tracker

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Star History

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 ❤️✨

Stargazers ❤️

Forkers ❤️

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Website

	Visit Dataverse's Website

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