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.
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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