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A repository for scripts to generate study distribution visualizations of the RADx Data Hub

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RADx DataHub Study Distibution Visualizations

Python Jupyter Notebook

Description

A repository for scripts to generate study distribution visualizations of the RADx Data Hub

This project provides an interactive Jupyter Notebook for creating bar charts based on various aspects of study data, including:

  • Study Populations Focus
  • Data Collection Methods
  • Study Domains
  • Study Design

Getting Started

1. Prerequisites

Make sure you have the following installed:

  • Python (version 3.8 or higher)
  • Jupyter Notebook or Jupyter Lab

2. Clone the Repository:

git clone https://github.com/bmir-radx/study-distribution-charts.git
cd study-distribution-charts
jupyter notebook

3. Install Necessary Python Packages:

You will need the following Python packages:

  • pandas
  • matplotlib

You can install them using:

pip install pandas matplotlib

4. Generating Plots:

Open and run the notebook file.

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A repository for scripts to generate study distribution visualizations of the RADx Data Hub

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