We are analysts.
We ask. We automate. We discover.
Bringing clarity to complexity.
Abstract
This post explores participation trends from the 2023 and 2024 5K@EASD events, highlighting the role of physical activity in diabetes management. Key insights include geographic distribution, gender-based participation, and race
JCS Analytics combines analytical discipline with a human focus. We take complex data in health, AI, and real-world contexts and turn it into insight that people can use.
A project’s real value comes from how well it adapts as the data changes.
Abstract
The 5K@ADA race results project has been updated for 2025 with improvements to data storage, cleaning, and visualization. Key enhancements include the use of SQLite for
Abstract
Explore advanced Python techniques for efficient data retrieval, focusing on handling large datasets, optimizing API calls, and ensuring data integrity. Whether you're working in
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A data-driven look at how well continuous glucose monitor (CGM) readings align with blood glucose meter (BGM) readings—and what it reveals about device performance and sensor placement.
Abstract
Explore how Python and Tableau can be used to
JCS Analytics explores how data, technology, and sound analytical judgment can turn complex information into clearer, more useful insight.
Through practical projects and accessible explanations, we examine data analysis, automation, visualization, artificial intelligence, and the systems that support them. The focus is not only on which tools to use, but on how to design reliable processes, understand the context behind the data, and communicate results responsibly.
JCS Analytics supports public education, movement, and community participation through initiatives such as the 5K@ADA and 5K@EASD virtual challenges.
