If you're in biopharmaceuticals, or any field of science for that matter, I don't need to sell you on the value of analytics. It's a beautiful thing when you can quantify an idea and present it in a visual. Analytics of course then beget more analytics. Trends, deltas, and other relationships between multiple data points begin to tell us a much richer story than what a single number can do.

The art of charting the relationships between numbers is almost as old as math itself. But now that we live in an age of high-speed computing, open source databases, and dynamic visuals, interpreting data has reached a new level. One of the newer capabilities of analytics is the ability to not just see but watch trends with the click of a button, and to drill-down to more information immediately. That's the type of interactivity we're excited to show you with this chart.

The data on ClinicalTrials.gov has been public for over 13 years now. Your ability to dig into it hasn't changed. But our ability to present it to you has. For our first dynamic graph to post on this blog we've had our Data Science team answer the question "How many studies are submitted on ClinicalTrials.gov each year?" by measuring how many new studies have been registered on the website each year.

About This Module

At first-glance, this module looks like your typical 2-axis chart, but there are actually 5 dimensions in action here, with the ability to extrapolate more. I'll highlight each dimension with the words in bold at the end. You can do the extrapolating by hovering your mouse-over any datapoint.

The X-axis is the number of trials, and Y-axis is average number of patients enrolled. Each data point represents a different study phase, and the size of the data point represents the average number of counties included. You can watch how the characteristics of clinical studies by phase have changed each year by pressing the play button in the bottom-left, or moving the slider on the bottom. Finally, map how the movement of a single datapoint has looked over the years by clicking on it.

To review, in this dynamic chart we're able to see how many studies have been registered on CT.g by phase, with further insights into the average number of patients enrolled, and number of countries involved. Finally, we can see so by time either at a specific year or over the entire course of 2005-2013.

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