Simple data visualization web app
Project description
vizdxp
Simple Data Visualization 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 in v0.0.4 - Scatter, Bar, Pie, Heatmap and Box plots
Installation
- pip install vizdxp
- python -m vizdxp
Explore vizdxp through a browser. Once installation is complete, user can work totally offline.
**This package is also hosted online ** Pls feel free to explore with your own data
Plans for Aug-Sep 2020
- Filtering Data
- Overall Performance improvement
- Possible Feature requests based on feedback raised in github
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vizdxp-0.0.5.tar.gz
(8.1 kB
view hashes)
Built Distribution
vizdxp-0.0.5-py3-none-any.whl
(14.9 kB
view hashes)