npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

safety-histogram

v2.5.0

Published

Histogram showing distribution of lab measures, vital signs and other related measures in clinical trials.

Downloads

10

Readme

Safety Histogram

Safety Histogram animation

Overview

Safety Histogram is a JavaScript library built with Webcharts (1, 2) that creates an interactive histogram plotting the distribution of lab measures, vital signs, and other measures related to safety in clinical trials. A typical chart created with safety-histogram looks like this:

Safety Histogram image

By default the chart expects SDTM-structured data, but can be configured for any dataset with one record per measurement. View full chart configuration details here.

Users can view a histogram of each measure in the data, update the x-axis limits, toggle display of the normal range, and click the chart to view the raw data. View full chart functionality here.

Typical Usage

In the simplest case, the chart can be created with a single line of code provided the input dataset meets the default requirements:

    safetyHistogram().init(data);

Alternatively, the chart can be configured for a different data standard, such as for ADaM in the example below:

    const element = 'body'; // element in which to draw the chart
    const settings = {
        measure_col: 'PARAM',
        value_col: 'AVAL',
        id_col: 'USUBJID',
        normal_col_low: 'ANRLO',
        normal_col_high: 'ANRHI',
        filters: [
            {value_col: 'SEX'    , label: 'Sex'},
            {value_col: 'RACE'   , label: 'Race'},
            {value_col: 'ARM'    , label: 'Arm'},
            {value_col: 'AVISIT' , label: 'Visit'},
            {value_col: 'SITE'   , label: 'Site'},
        ],
    }; // custom chart settings

    d3.csv(
        'https://raw.githubusercontent.com/RhoInc/data-library/master/data/clinical-trials/adam/advs.csv', // data file location
        function(data) {
            safetyHistogram(element, settings).init(data);
        } // callback function in which the chart is created
    );

Click here to open an interactive example.

Links