life with type 1 diabetes

Tag: Blood Sugar

little wins

today I setup the wifi-only samsung galaxy I used to test the NightScout system so that I can stay connected to the NightScout server while charging the samsung galaxy that’s on a data plan… meaning that I can stay on the NightScout monitoring system all the time… that’s right people, I am actually trying to stay on something that might help me… and god help me, I’ve agreed to setup my parents so that they can see my numbers too… just in case… wooo sahhhhhh

Diabetic Dashboard

People ask “How are you doing?” all the time, usually I answer with “fine”… well here’s a more comprehensive and Illustrative answer…
 

 

This is my latest take on something that could help me to better understand my diabetes and how to manage it. For right now I’m really just reporting findings, but as I get a better sense as to what I can pull out of my devices, I will switch gears into focusing on insights that I can pull out of the information.

Let me start by saying that I used professional tools to get to this point — I could have stuck to excel, but it would have taken me a lot longer and wouldn’t have been a repeatable process. My goal is to hone this process, so I can get as close to real time as possible — based on the level of effort required, I think that the most practical estimate for this is probably a weekly report, but the process is going to need work to even get to that point.

How did I get here? [the geeky stuff] Dexcom reports out two sets of numbers — the meter values that you input to the receiver (calibrating it), and the reported values that show on the screen every five minutes, these two sets of data are reported separately, but in the same worksheet. To add to this, when I updated the software on my Dexcom receiver it archived my file to date and created a new file, so I have to files one from when I started with the Dexcom to the software update, and then one from the software update to present day. What I needed to do was split and clean two data files, and then add together the corresponding parts, from there, I added an additional field identifying each of the data points as either being a “Meter Value” or a “Dexcom Reading” — which then enabled me to join the two tables back together as a single table with the fields of Time, Blood Glucose, and Type. This is the data set that I pulled into TableauPublic to build the visualization below. There were around 65k records, so we have a good bit of time in TableauPublic before we will have to think about filtering the data set down in anyway.