Metadata-Version: 1.0
Name: sankeyfy
Version: 0.2
Summary: Wrangle dataframes for use in Sankey visualizations
Home-page: https://github.com/MCBoarder289/sankeyfy
Author: Michael Chapman
Author-email: chapman.michael.c@gmail.com
License: MIT
Description: # Sankeyfy - Data wrangling for easy Sankey Visualizations
        
        The Sankeyfy package aims to simplify the creation of a Sankey
        visualization through a straightforward function call. Simply
        run the "sankeyfy" function on your dataframe, and it will output
        the necessary dataframes for a Sankey chart.
        
        I built this for specifically for use with the **Plotly**  API,
        but this should also be useful for its sources or other D3 libraries.
        
        The function accounts for the following scenarios, and attempts
        to leverage sensible default behavior (but feel free to give feedback 
        or contribute!):
        
        1. *Default Scenario:* **Pre-aggregated format**
            * Input is a table of categorical variables/columns with a 
            single aggregate column (counts/count distinct, etc.)
            
        2. **Raw Format**
            * Input is a raw table where each row is an observation and
            the columns are all categorical variables.
            * Currently assumes there is a unique id field, will add default
            functionality for this later
            
            
        Please feel free to give me any feedback or contribute with a PR,
        and hopefully this saves your some time trying to build out some cool
        Sankey visuals!
        
        
        ## To Do:
        
        1. DONE - Create Default NULL behavior as an option (Fill with an "unknown" category that you can feed the value for)
        2. DONE - Build functionality to create an ID field if one isn't provided...
        
        Copyright 2018, MIT License
             
        
        
Keywords: sankey plotly D3
Platform: UNKNOWN
