Dataverse
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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.
Dataverse
Data Visualisation Software & Personal Finance Tracker
Featured In
| Event Logo | Event Name |
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GirlScript Summer of Code Ext (GSSoC'24) 2024 |
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Hacktober Fest 2024 |
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.
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
softwarefolder in VSCode.cd Dataverse/software -
Go to
mainGUI.pyand 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
-
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 using the Finance Tracker, you must have
MySQLinstalled on your computer. If you don't have it you can download it from here. - Go to
line no. 15underconnecting MySQLsection offinanceTracker.pyand change the values ofhost, user and passwdaccording to your MySQL account. - Also, run the command
on your MySQL workbench or commandline client.CREATE DATABASE DATAVERSE;
Repository Structure
📂 Repository Structure
Preview
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Software GUI
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Visualised Finance Data
Relational Data
Software Representation
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ER Diagram for Finance Tracker

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. 1in script.js and append the name of your city to thecitiesarray. (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 ❤️
Website
| Visit Dataverse's Website |
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