egm 1.0.3

A python package for plotting Evidence Gap Maps using Plotly

egm

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Evidence Gap Maps(egm) are useful in research for plotting research gaps for a research area. This library (extension of the Bubbly package) provides interactive and animated charts using Plotly that can be useful to view reasearch gaps and tracking time based progress of relevant research. The animated bubble charts can accommodate up to six 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 are easy to use with plenty of customization, especially suited for use in Jupyter notebooks and is designed to work with plotly's offline mode such as in Kaggle kernels.

In general egm package can be useful in making a plot where two catagorical variable are plotted aganst each other and creates bins.

Dependencies

• Python 3.7+
• numpy
• pandas
• plotly

Installation

pip install egm

Usage in a Jupyter Notebook

View a working example here

Modes

There are two modes supported. In the random mode is more user friendly and points are scattered randomly (evenly) in a bin.

In the NLP mode the x and y coordinates provided are transformed into the bin so that they distribution indicates similarity and disimilarity.