Metadata-Version: 2.1
Name: egm
Version: 1.1.4
Summary: A python package for plotting Evidence Gap Maps using Plotly
Home-page: https://https://github.com/mb7419/egm/
Author: Mohit Bhatnagar
Author-email: mohit@uplytics.com
License: UNKNOWN
Description: **egm**
        ******************************
        
        **Evidence Gap Maps(egm)** are useful for visualizing research gaps. This library (extension of the [Bubbly]( https://github.com/AashitaK/bubbly) package) provides interactive and animated charts using *Plotly*, useful for plotting reasearch papers. The animated bubble charts can accommodate multiple variables viz. X-axis, Y-axis, time, bubbles (the research artifacts of title , abstract and doi) their size (similarity to research question) and their color in a compact and captivating way. Evidence Gap Maps (egm) python package is easy to use with plenty of customization, and is designed to work with ``plotly``'s offline mode useful in Jupyter Notebooks, Google Colab and Kaggle kernels. 
        
        egm package can also be useful in making a plot where two catagorical variable are to be plotted aganst each other as bins.
        
        Dependencies
        ------------
        * Python 3.x
        * numpy
        * pandas 
        * plotly
        
        Installation
        -------------
        pip install egm
        
        **Modes**
        ----------------------------
        There are two modes supported. Time can be included in both modes for a dynamic year wise plot. 
        
        **1. Mode Random**
        
        The random mode is more display friendly and the plot in a bin is scattered evenly.  
        
        *figure = **evidencegapmap**(dataset=pd, x_column='x', y_column='y',
          bubble_column='title_column',bubble_text='bubbletext_column', bubble_link='bubblelink_column', size_column='size_column', color_column='color_column',xbin_list=<list1>, ybin_list = <list2>,
          xbin_size=100, ybin_size = 100, x_title="X Axis Title", y_title="Y Axis Title", title='Evidence Gap Map for XYZ',scale_bubble=4, marker_opacity=0.8,height=900, width=1200)*
          
        ![Random Mode](./egm.png?raw=true "Random Mode")
         
        
         **2. NLP Mode**
           
        For the NLP mode, x and y coordinates are provided arrays and are transformed and plotted in the bin. The mode is useful for displaying the similarity and disimilarity of research papers
        
         *figure = **evidencegapmap**(dataset=pd, x_column='x', y_column='y',xy_column='xy_column',
          bubble_column='title_column',bubble_text='bubbletext_column', bubble_link='bubblelink_column', time_column='publish_year', size_column='size_column', color_column='color_column',xbin_list=<list1>, ybin_list = <list2>,
          xbin_size=100, ybin_size = 100, x_title="X Axis Title", y_title="Y Axis Title", title='Evidence Gap Map for XYZ',scale_bubble=4, marker_opacity=0.8,height=900, width=1200)*
          
        
        ![NLP Mode](./egm.gif?raw=true "NLP Mode")
        
        Usage in a Notebook & Example 
        ----------------------------
        
        Refer to this [collab notebook](https://shorturl.at/gwCZ6) for a basic working example with [sample data](https://github.com/mb7419/egm/blob/master/egmsample.csv) 
        
        
        View an end to end working example [here](https://www.kaggle.com/uplytics/evidence-gap-map-for-risk-areas)
        
        
        
        
        
        
Keywords: Plotly,evidence gap map,bubble graphs,interactive graphs
Platform: UNKNOWN
Description-Content-Type: text/markdown
