Metadata-Version: 2.1
Name: vizdxp
Version: 0.2
Summary: Simple data visualization web app
Home-page: https://github.com/Vinothsuku/vizdxp
Author: vinoth sukumaran
Author-email: vinoth.suku@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: streamlit (>=1.37.1)
Requires-Dist: pandas (>=1.1.0)
Requires-Dist: numpy (>=1.19.1)
Requires-Dist: plotly (>=4.9.0)

# 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/)


