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Introducing the CTS Viz of the Month

Welcome the "CTS Viz of the Month" series!


Data visualizations are transforming how we understand, manage, and use the millions of data points collected by our long-term cohort study. In the spirit of sharing that joy, the CTS is now making our data visualizations more findable, accessible, interoperable, and reusable.

This series will highlight data vizzes created by researchers using CTS data. Each blog post will include a viz constructed using CTS data and the code used to produce that viz.


We’re making cohort data visualizations easier to find, more fun to build, and available to anyone who wants to copy it. Feel free to take the viz and reshape it, reuse it, or make it your own using the study data of your choice.


A few quick questions & answers about the CTS Viz of the Month:


What's a viz?

A data viz is a shorthand way of saying data visualization. The term “viz” means a visual representation of data. Think of a chart, graph, or other visual that has helped you see data. That’s a data viz!


How can I use the viz?

Each data viz can be viewed, contemplated, or copied and recreated!

In addition to presenting the data visualization for that month, each blog post will contain three things:

· The viz’s author

· A summary of the data displayed in the viz

· A link to the GitHub repository where the visualization code is stored


What’s GitHub, and how do I access it?

GitHub is an internet-based platform where people can share software and code. You can access the California Teachers Study GitHub repository here:


Anything else I should know?

There is no cost to use or copy a CTS viz. Please be sure to acknowledge the CTS funding from the National Institutes of Health (NIH) and National Cancer Institute (NCI) that made all of this possible. The GithHub repository includes a ReadMe file with the appropriate attributes and acknowledgements.


I’ve got a viz! How can I participate?

Great! We can’t wait to see it. Please get in touch to let us know you have a CTS data viz you’d like to see featured.

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