Tag Archives: visualizatoins

What We Are Reading

Have you registered for our 2015 Quantified Self Europe Conference? If not, this weekend is your last chance to take advantage of our special early bird rate (€149!). We’d love to see you there so register today!

Our friends at Oura are currently crowdfunding their amazing heart rate, sleep, and activity tracking ring. Check out their Kickstarter to learn more.

Now, on with the show!

You may just have updated the map with your RunKeeper route by Alex Barth. Short post here describing a fascinating use of publicly available data from Runkeeper users around the world.

A Six Month Update on How We’ve Been Using Data, and How it Benefits All Americans by DJ Patil. A nice update on some of the current initiatives being championed at the federal level to make data more available and beneficial for all Americans. I can’t wait to see what happens next.

Discovering Google Maps New Location History Features by Mark Krynsky. Mark walks us through the new features embedded within Google Maps and Location tracking. Want to find out where you spend most of your time or how often you visit your favorite coffee shop? Google may already know!

Drowning in Data, Cities Need Help by William Fulton.

No city government, university or consulting firm can possibly figure out how best to use all the data we now have. The future lies in having everybody who understands how to manipulate data — from sophisticated engineering professors to smart kids in poor neighborhoods — mess around with it in order to come up with useful solutions.

Just Talking with Maggie Delano by Christopher Snider. Take a listen to a great conversation with our friend and QS Boston and QSXX organizer, Maggie Delano. Well worth your time.


1112195 HRV Measurements: Paced Breathing by Marco Altini. Marco is back at it again with a in-depth post about his experiments on how breathing rate affects HRV and heart rate measurements. Starting with a great review of the current literature, he then dives in to his own data and what he’s found through various experimental protocols.


tumblr_inline_n4fxiifr6T1r6gaqp Resuming Quantified Self Practices by Emily Chambliss. A short post here on using Excel to track and understand food consumption. Make sure to check out the slides from a talk she gave in 2012 at a New York QS Meetup.


9aXr5Mm My Sleep Quality of the last 2 Years by Reddit user Splitlimes. A beautiful visualization of just over two years of sleep data tracked with the Sleep Cycle app.


3 - nqfnVD8 Time-histogram of 10 Million Key Strokes by Reddit user osmotischen.

These are plots of 10 million key strokes and about 2.4 million mouse clicks logged over a bit more than a year’s time on my computer. (Make sure to click through for more visualizations.)


From the Forum
Descriptives and visualizations for large numbers of variables
I created this site to make decisions better with an algorithm. I’d love feedback!
HRV apps for Polar H7 that include SDNN

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What We're Reading

Enjoy this week’s list of articles, links, show&tells, and visualizations.

Personal Health Data: Five Key Lessons for Better Health by Patti Brennan and Stephen J. Downs. A fantastic post by two great thinkers in the world of personal health and data. They outline five key challenges that must be addressed in order to have meaningful use of personal health data.

It’s Time for Open Data on Open Data by Luke Fretwell. A short but meaningful post here. With all the clamor for more government open data portals it’s time to start exploring how they’re actually being used and what can be done to improve them.

The NFL Gets Quantified Intelligence, Courtesy Of Shoulder Pad-Mounted Motion Trackers by Darrell Etherington. As a sports fan and spouse of someone who works in sports media production I am fascinated by how the world of personal data is quickly colliding with professional athletics. We’ve long looked towards athletes for inspiration and examples of how data can be used to understand and improve and I’m very interested to see how the NFL will make use of this data. Maybe we’ll see more sabermetric-like player and team analysis?

Heart Rate Variability While Giving a Public Speech by Pau LaFontaine. Paul gave a show&tell talk at a recent Bay Area QS meetup and tracked his heart rate variability. This post explains his data, and what he learned about the stress involved with public speaking. Be on the lookout soon for his show&tell talk video.

Chronic Diease and Self-Tracking – Part 1 by Sara Riggare. Sara is a longtime contributor in the Quantified Self community, having spoken at each of our three QS Europe Conferences. In this post she explains her new exploration of her resting heart rate and poses some interesting questions. We’d love to have you help her out!

Raspberry Pi Sleep Lab How-To by Nick Alexander. Nick was bothered by a common nightly occurrence, kicking off his covers in the middle of the night. Like any enterprising technologist, he enlisted his technical expertise to help examine this problem. This post is an amazingly detailed “How To” for building and setting up your own personal sleep monitoring tool complete with video, environmental information, sound, and sleep data.

This week I’ve been exploring how people are making using physical data visualizations. During some research I found a great resource, the List of Physical Visualizations. A few images below are from that great list, be sure to spend some time exploring the many different examples and then reading the excellent research paper linked below.





Evaluating the Efficiency of Physical Visualizations by Yvonne Jansen, Pierre Dragicevic, and Jean-Daneil Fekete. The first empirical study of the effectiveness of physical visualizations for conveying information. Using 3D bar charts as a primary example, the authors were abel to show that physical visualizations are more effective than their digital on-screen counterparts for some information retrieval tasks.

From the Forum

Data Aggregation
Idea for a Life Tracker Application
How can I log my teeth?
Home Potassium Testing

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