https://github.com/vinothsuku/vizdxp

Simple Exploratory Data Analysis web app
https://github.com/vinothsuku/vizdxp

data-analysis data-visualization exploratory-data-analysis exploratory-data-visualizations plotly streamlit visualization

Last synced: 2 months ago
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Simple Exploratory Data Analysis web app

• Host: GitHub
• URL: https://github.com/vinothsuku/vizdxp
• Owner: Vinothsuku
• License: mit
• Created: 2020-08-23T23:44:59.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-09-26T17:25:50.000Z (about 2 years ago)
• Last Synced: 2024-04-25T23:42:38.718Z (8 months ago)
• Topics: data-analysis, data-visualization, exploratory-data-analysis, exploratory-data-visualizations, plotly, streamlit, visualization
• Language: Python
• Homepage: https://vizdxp.herokuapp.com
• Size: 62.5 KB
• Stars: 6
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# vizdxp

## Simple Exploratory Data Analysis web application

vizdxp is an open-source web app designed via streamlit weaved with plotly library. **Its incredibly simple - Just drag & drop any csv and explore the data visually.** By default the application will figure out better visualization based on user selections. Feel free to customize as needed.

## Keys

- **Simple** and quick for any **Exploratory Data Analysis**

- Create interactive **Dashboard web app within minutes** from any csv and share the findings

- **Deploy** it as a web application in your own workstations too

- By **Default** - chart types and aggregations are applied based on columns selected by user, null rows are removed, date fields are converted to multiple subfields

- Highly **Customizable**

- No more static reports

- Chart types included - Scatter, Bar, Pie, Heatmap, Histogram and Box plots

## Installation

pip install vizdxp

Run: python -m vizdxp

Explore vizdxp through a browser. Once installation is complete, user can work totally offline.

## Blog

Wrriten a blog on vizdxp [here](https://medium.com/analytics-vidhya/introducing-vizdxp-for-quick-exploratory-data-analysis-and-visualizations-89128326e8ac)

## License

- vizdxp is completely free, open sourced and licensed under MIT license.

- Vizdxp is developed with Streamlit as the framework. Further details on [streamlit](https://www.streamlit.io/)

- Plotly is the visualization library used. Further details on [plotly](https://plotly.com/)