https://github.com/sanchariii/datashow-visualization

This is a Data Visualization App that allows the user to upload their dataset in clean format and then perform various Data Visualization like - Line Plots, Scatter Plots, Bar Plots, Box Plots, Violin Plots, Histogram Plots
https://github.com/sanchariii/datashow-visualization

barplot boxplot histogram scatter-plot violin-plot

Last synced: 2 months ago
JSON representation

Host: GitHub
URL: https://github.com/sanchariii/datashow-visualization
Owner: Sanchariii
Created: 2023-07-13T07:53:51.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2023-07-13T11:34:51.000Z (over 2 years ago)
Last Synced: 2025-01-12T11:35:47.930Z (12 months ago)
Topics: barplot, boxplot, histogram, scatter-plot, violin-plot
Language: Python
Homepage: https://sanchari-datashow.streamlit.app/
Size: 6.84 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

Visualization-DataShow 📈📊📉

![image](https://user-images.githubusercontent.com/78029145/163700890-196af6cc-2824-421f-9be3-0c3556d403ae.png)

## Overview of the App

This app can be used to upload any clean dataset in csv format and then read the dataset to give plots like - line plots, scatter plots, histogram plots, bar plots, box plots, violin plots. There is also an option to select the x-axis and y-axis values all by our own.

## Tech Stacks Used

## Libraries Used

## Model Deployment

- The web application is built using python library -> Streamlit
- The entire application is finally deployed on Streamlit Share Platform
- See the deployed application [here](https://sanchari-datashow.streamlit.app/)

## UI Of The Web Application

### 1. Home Page