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Data Profile Viewer tool. Enables the exploration of data profile in Jupyter Notebooks

Project description

DataProfileVis

Data profile visualization tool is compatible with Jupyter Notebooks. Supports the metadata format generated by datamart-profiler library.

System screen

Demo

In Jupyter Notebook:

import DataProfileViewer
data = DataProfileViewer.get_lifeexpectancy_data()
DataProfileViewer.plot_profiler(data)

Install

Option 1: install via pip:

pip install data-profile-viewer
pip install datamart-profiler

Data Profile exploration

import DataProfileViewer
import datamart_profiler

In a jupyter notebook, load the output_file

metadata = datamart_profiler.process_dataset('lifeexpectancydata.csv', include_sample=True, plots=True)

and then plot it using:

DataProfileViewer.plot_profiler(metadata)

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