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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

License

  • vizdxp is completely free, open sourced and licensed under MIT license.
  • Vizdxp is developed with Streamlit as the framework. Further details on streamlit
  • Plotly is the visualization library used. Further details on plotly

Metadata

Release files for vizdxp 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vizdxp 0.2.2
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vizdxp-0.2.2.tar.gz 8.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for vizdxp 0.2.2
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vizdxp-0.2.2-py3-none-any.whl Python 3 none any Details

Total release size: 19.2 kB

Release files / vizdxp-0.2.2.tar.gz

Download URL vizdxp-0.2.2.tar.gz
Size 8.7 kB
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Release files / vizdxp-0.2.2-py3-none-any.whl

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