Nightscout offers some fantastic data-crunching report tools in the drawer menu,
An interesting video on how to use them with Gary Scheiner.
Reports to open the reports page.
First select the report type you’d like to see (see below for an overview).
Day to day,
Week to week,
Then select the period for which you want your data analyzed.
Enable the check box and either select
To: dates or
Last 2 days,
Last 3 days,
Last 2 weeks,
Last 3 months.
You can filter your data using key
Event type (select one in the drop down list).
You can select which week days to use in order to better analyze patterns.
Target BT range
top for your TIR and graph range lines.
You can also sort the report from older to newer or newer first.
SHOW and wait for data to load and rendering to complete. This might take some time if the period is long.
Day To day
This report will show your BG, day by day, including the treatments you select.
If you want to change selections, you need to click again
SHOW to update the view.
If you select
Insulin distribution you will get a short report.
Note: You need
Basal rate enabled to see bolus vs basal information.
You can change the vertical scale to
You can change the graph
Week to Week
This report will give you a week by week view, with color code for week days selected.
This report will give you a daily distribution view.
This report will give you a complete distribution view with a lot of information on the dates range you selected.
You also can filter by hours (scroll to the bottom of the page).
A1c is only a rough estimation that can be very inaccurate and does not replace actual blood testing. The formula used is taken from:Nathan, David M., et al. “Translating the A1C assay into estimated average glucose values.” Diabetes care 31.8 (2008): 1473-1478.
Time in fluctuation and Time in rapid fluctuation measure the % of time during the examined period, during which the blood glucose has been changing relatively fast or rapidly. Lower values are better.
Mean Total Daily Change is a sum of the absolute value of all glucose excursions for the examined period, divided by the number of days. Lower is better.
Mean Hourly Change is a sum of the absolute value of all glucose excursions for the examined period, divided by the number of hours in the period. Lower is better.
Out of Range RMS is calculated by squaring the distance out of range for all glucose readings for the examined period, summing them, dividing by the count and taking the square root. This metric is similar to in-range percentage but weights readings far out of range higher. Lower values are better.
GVI (Glycemic Variability Index) and PGS (Patient Glycemic Status) are measures developed by Dexcom, detailed can be found here.
This report will give you an hourly distribution view with a box plot and additional hour by hour statistics.
This report will give you an percentile distribution view of the range you selected.
This report will give you an weekly view of your statistics.
This will give you a a table of your calibrations, if your uploader sends the correct event and data.
This will give you a a table of your treatments, day by day.
This report will display profiles used in the time range.
Loopalyzer is an utility made to help analyze and tune closed loop systems. It may work with other setups as well, both closed and open loop, and non loop.
Select the period on which you want to run the report then click
Show. A set of graphs will display top to bottom your basal profile, blood glucose, loop deviation from basal (that should be minimized for an optimized closed loop system), insulin on board and carbs on board. On the last two graphs, treatments are represented by vertical black bars.
Using the dedicated menu you can display your profiles below the graph and use
Show to update the display when changing the options.
You can navigate day to day with
< Previous day and
Next day > or by period length with
<< Previous and
Next >> (i.e. if you selected a week it will go backwards and forward week by week).
Timeshift will allow you to synchronize meals within a time range in order to better analyze your data. Obviously the rest of the day will not make sense since the shift only highlights the time range you are analyzing now. For example below: dinner analysis.
You might also be interested by AutoTune.
Make sure to temporarily disable authentication before running AutoTune.
https://nightrep.zreptil.de/ can be used to generate PDF documents with the data stored at Nightscout.
Facebook group Nightscout Reporter
Facebook group Nightscout Power BI Reporting