Metadata-Version: 2.1
Name: vizdxp
Version: 0.1.2
Summary: Simple data visualization web app
Home-page: https://github.com/Vinothsuku/vizdxp
Author: vinoth sukumaran
Author-email: vizdxp@gmail.com
License: UNKNOWN
Description: # vizdxp
        
        ## 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](https://vizdxp.herokuapp.com) ** Feel free to explore with your own data
        
        ## License
        - vizdxp is completely free 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/)
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
