crf-heat-map
Advanced tools
The CRF Heat Map visualizes the level of completeness of a clinical database by aggregating case report form (CRF) characteristics, such as the rate of CRFs entered, frozen, and locked and the number of unresolved queries. The heat map calculates these statistics within a set of clinical identifers including site, subject ID, visit, and CRF and colors cells by level of completeness. For instance by default the data are summarized by Site and Subject ID:
The data are summarized by site and within each site by subject IDs related to that site. Each site row is expandable and collapsable to show and hide the related subject ID rows.
The CRF Heat Map is fully interactive with user-defined summary combinations, data filters, column sliders, and data export.
The code to initialize the chart looks like this:
d3.csv('rx_DataPage.csv', function(data) {
crfHeatMap('body', {}).init(data);
});
FAQs
Heat Map showing database form status at different levels
The npm package crf-heat-map receives a total of 1 weekly downloads. As such, crf-heat-map popularity was classified as not popular.
We found that crf-heat-map demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.