Small Progressive Changes – February in Review

Previous Posts:

Check out the Intro post to get an idea of what this blog is about.

Month 1: My first monthly review. Just scratching the surface with Zenobase.

Monthly Data Points:

burn-(kcal) Dailyburn-(kcal) Hourlyheart-rate-(bpm) Dailyheart-rate-(bpm) Hourlyskin-temperature-(f) Dailyskin-temperature-(f) Hourlysteps Dailysteps Hourly

This is my second month in review using Zenobase. Again these graphs are generated from data gathered by my Basis Peak for the entire month. In order, calories daily, calories hourly, heart rate daily, heart rate hourly, skin temperature daily, skin temperature hourly, steps daily, and steps hourly.

Daily and Hourly Analysis:

I again displayed the data in a polar manner both by days of the week and hourly. In order again, calories daily, calories hourly, heart rate daily, heart rate hourly, skin temperature daily, skin temperature hourly, steps daily, and steps hourly.

Overall, I see more calorie burn on the weekends just because I am more active in general though it’s not totally due to steps as my highest step count is actually on Fridays and Sundays.

I have higher step counts around 10 am and 5 pm when I’m coming into and leaving work most days. My calorie burn is also slightly higher during those time periods.

Hourly Scatter Plots:

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A lot of correlations that I saw in the previous month still remain the same. Burn vs heart rate, burn vs steps, and heart rate vs steps are positively correlated which is to be expected. The unexpected finding from last time is that skin temperature vs all other variables is negatively correlated.

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When I only looked at the time periods when I was awake it decreased the correlation for skin temperature but it was still somewhat negatively correlated.

Monthly Changes:

Weight: 0 lb

BMI: 0

Body Fat: +0.8%

Even though my weight is unchanged, my body fat percentage is increased. It’s hard however to comment on that since I used two different scales. My weekly measurements suggest that it is somewhat steady.

My energy levels have been pretty steady in the high 3’s to low 4’s, so not too much changes there.

My activity has increased overall. My goal is now up 1500 steps/day to 7000. And I have been hitting my goal of 3 workouts a week.

Any further comparisons will have to wait till I have more data.

Summary:

Overall since the amount of metrics I have collected for the full month are small, I can only make some comparisons. A lot of the trends from the previous month remain even when I account for times when I’m asleep vs awake.

For the most part I am more active than I was last month and continue to move in the right direction. I did not expect any large changes as I am just making gradual adjustments week to week.

Next time I might try to incorporate other data sources into Zenobase to see what sort of trends pop out.

Take a Look for Yourself:

If you’re interested in playing around with some data and need a sample set or think you can do a different sort of analysis than I have, you’re in luck because my data for this month is available on Dropbox. You can also access my Basis Peak data on Zenobase. Let me know if you have any questions about it.

Become a subscriber to get exclusive stuff that won’t be posted on my blog. As a bonus receive a free PDF, 5 Steps to Start Your Quantified Journey.

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Zenobase for Visualizations – January in Review

Previous Posts:

Check out the Intro post to get an idea of what this blog is about.

Week 5: I look more in-depth at my workouts using the assistance of some apps.

Week 4: I start exploring my energy levels throughout the day.

Week 3: I start measuring my body composition to track macroscopic effects on my body.

Monthly Data Points:

burn-(kcal) Dailyburn-(kcal) Hourlyheart-rate-(bpm) Dailyheart-rate-(bpm) Hourlyskin-temperature-(f) Dailyskin-temperature-(f) Hourlysteps Dailysteps Hourly

Now that I have been quantifying for over a month. I thought that I would look at the month as a whole in more detail using the awesome visualization tool Zenobase. The first set off figures you see above are all of my data points from my Basis Peak for the entire month. In order, calories daily, calories hourly, heart rate daily, heart rate hourly, skin temperature daily, skin temperature hourly, steps daily, and steps hourly.

Daily and Hourly Analysis:

To begin examining trends, I took the same monthly data points and turned them into polar charts that examine the average on a daily and hourly basis. Both interesting and obvious things arise from this representation. In order again, calories daily, calories hourly, heart rate daily, heart rate hourly, skin temperature daily, skin temperature hourly, steps daily, and steps hourly.

I seem to burn more calories overall on Wednesdays and Thursday, which is also when I make more steps on average though this same thing is not reflected on Saturdays. My heart rate and skin temperature are pretty consistent on a daily basis.

When you break it up into hourly averages, I make the most steps on my way into work, shortly after lunch, and again in the evening before I settle down to relax. My heart rate and step count seem to mirror that. My skin temperature, on the other hand, is highest when I am in bed and lower at all other points throughout the day, which would make sense since it’s wintertime here.

Hourly Scatter Plots:

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There are even more insights to be learned when seeing if there is any correlation between the various data points.

There is a strong positive correlation between calories burned and heart rate, which is a good confirmation that the Basis Peak’s algorithm works appropriately. Without any data points excluded, there is a negative correlation between skin temperature and calorie burn. This is a little unexpected but might be somewhat deceptive because again my skin temperature is the highest while I am sleeping. There is also a positive correlation between calories burned and steps, which again serves as confirmation for the algorithm.

Heart rate vs skin temperature shows a negative correlation similar to calorie burn vs skin temperature. Again this was unexpected but is probably affected by the inclusion of data points while I am asleep. Heart rate and steps have a positive correlation, which is expected especially compared to being sedentary.

Lastly, skin temperature and steps are negative correlated, which is no longer unexpected when you look at how skin temperature relates to heart rate and calories burned.

Summary:

You can definitely get a lot more insights with the proper visualizations. Go check out Zenobase and see what you can get out of your data. A lot of the insights were expected and confirmed that the Basis Peak works as it should. A few, however, were unexpected, such as seeing that I was most active on Wednesdays and Thursdays. Also, my skin temperature was negative correlated with being active.

Next time I will try and do some of the same comparisons and visualizations breaking it up into wake and sleep phases. I have a feeling that the correlations will be slightly different during those two time periods.

If you think there are any comparisons or breakdowns I should look at in more detail, feel free to let me know in the comments, by email, or by Twitter.

Take a Look for Yourself:

If you’re interested in playing around with some data and need a sample set or think you can do a different sort of analysis than I have, you’re in luck because my data for this month is available on Dropbox. You can also access my Basis data on Zenobase. Let me know if you have any questions about it.

Lastly, if you want to generate reports for yourself but are looking to save a little bit of time and to support my efforts here check out my Basis Peak Weekly Report Generator.

Become a subscriber to get exclusive stuff that won’t be posted on my blog. As a bonus receive a free PDF, 5 Steps to Start Your Quantified Journey.