stats show Total time recorded: 14043413 s (16 % active, 27 % poll, 56 % sleep) Total energy used: 367549 uAh (40 % of battery capacity) Total number of reboots: 1 Total time spent in freefall: 69378 ms ------------ Blinks by day of week and hour of day ----------- Each time the leds blink is recorded. This graph shows the distribution of the blinks among the hours of the week. Each column is a day and each row is an hour of that day. The value in each cell is the percentage of blinks that have occurred during that hour. Total blinks: 384928 Hour | Mon Tue Wed Thu Fri Sat Sun 0 | 0 0 0 0 0 0 0 1 | 0 0 0 0 0 0 0 2 | 0 0 0 0 0 0 0 3 | 0 0 0 0 0 0 0 4 | 0 0 0 0 0 0 0 5 | 0 0 0 0 0 0 0 6 | 1 1 1 1 1 0 0 7 | 2 2 3 1 2 0 1 8 | 1 1 2 0 2 1 1 9 | 0 0 0 0 1 0 1 10 | 0 0 0 0 0 0 1 11 | 0 0 0 0 0 0 0 12 | 0 0 0 0 0 0 0 13 | 0 0 0 0 0 0 0 14 | 0 0 1 0 0 1 1 15 | 1 1 2 2 1 2 1 16 | 2 1 2 2 1 1 1 17 | 1 3 2 1 2 1 2 18 | 2 2 2 3 1 2 3 19 | 2 2 3 2 3 2 1 20 | 1 0 3 1 2 1 0 21 | 0 0 1 0 0 0 0 22 | 0 0 0 0 0 0 0 23 | 0 0 0 0 0 0 0 ------------ Movement estimate by hour of day ----------- When the device detects movement, it starts estimating the amount of the movement over a few seconds window. That estimate is scaled as percentage of 0-100 %, and further divided to 10 % bins. This way the distribution of the estimate values is recorded for every hour of the day. In the graph below, each row corresponds to an hour of the day, and the ten columns correspond to the amount of movement. The value in each cell is the percentage of time, during that hour, that the movement estimate had the value according to the column. Hour | 0 10 20 30 40 50 60 70 80 90 100 0 | 70 4 4 3 3 2 2 2 1 1 7 1 | 55 6 4 4 3 3 3 3 2 2 15 2 | 0 0 0 0 0 0 0 0 0 0 0 3 | 0 0 0 0 0 0 0 0 0 0 0 4 | 0 0 0 0 0 0 0 0 0 0 0 5 | 0 0 0 0 0 0 0 0 0 0 0 6 | 41 5 4 4 3 3 3 3 3 2 30 7 | 45 5 4 3 3 3 3 3 3 3 26 8 | 50 5 3 3 3 2 2 2 2 2 24 9 | 53 5 3 3 3 2 2 2 2 2 22 10 | 34 5 3 2 2 2 2 2 3 3 41 11 | 20 4 3 3 3 2 2 3 2 3 55 12 | 0 0 0 0 0 0 0 0 0 0 0 13 | 0 0 0 0 0 0 0 0 0 0 0 14 | 46 6 3 3 2 2 2 2 2 2 31 15 | 50 6 4 3 2 2 2 2 2 2 25 16 | 61 7 4 3 2 2 2 2 2 2 15 17 | 60 7 4 3 2 2 2 2 2 2 17 18 | 56 6 4 3 2 2 2 2 2 2 20 19 | 46 5 4 3 3 3 3 2 2 2 26 20 | 49 4 4 4 3 3 3 3 3 3 21 21 | 60 4 4 4 3 3 3 2 2 2 12 22 | 73 4 3 3 2 2 2 1 1 1 7 23 | 73 4 3 3 2 2 2 2 1 1 7 ------------ Temperature estimate by hour of day ----------- The device senses the temperature inside the case and also the rate of temperature change. This is used to estimate the ambient temperature, and furthermore the likelihood of that outdoor temperature at this time of the year. The results is a value 0-100 %, where 0 % is likely indoors and 100 % is likely outdoors. The graph below shows the distribution of this estimate with relation to the hour of the day. Hour | 0 10 20 30 40 50 60 70 80 90 100 0 | 99 1 0 0 0 0 0 0 0 0 0 1 | 100 0 0 0 0 0 0 0 0 0 0 2 | 0 0 0 0 0 0 0 0 0 0 0 3 | 0 0 0 0 0 0 0 0 0 0 0 4 | 0 0 0 0 0 0 0 0 0 0 0 5 | 0 0 0 0 0 0 0 0 0 0 0 6 | 90 1 1 1 1 1 1 1 0 0 3 7 | 63 2 2 2 2 2 2 1 1 1 22 8 | 54 3 3 4 3 3 2 1 1 3 23 9 | 60 3 2 3 4 2 1 1 2 1 21 10 | 0 0 0 0 0 0 0 0 0 0 100 11 | 13 0 0 0 0 0 0 0 0 0 87 12 | 0 0 0 0 0 0 0 0 0 0 0 13 | 0 0 0 0 0 0 0 0 0 0 0 14 | 52 6 5 4 3 2 2 1 1 1 22 15 | 49 3 2 2 1 2 2 2 2 2 34 16 | 58 3 2 2 2 2 2 2 2 2 22 17 | 61 4 3 3 3 2 2 2 2 2 17 18 | 67 4 3 3 3 2 2 2 2 2 12 19 | 72 2 2 2 2 1 1 1 1 2 15 20 | 82 1 1 1 1 1 1 1 1 1 9 21 | 96 1 0 0 0 0 0 0 0 0 2 22 | 100 0 0 0 0 0 0 0 0 0 0 23 | 100 0 0 0 0 0 0 0 0 0 0 ------------ Raw movement value ------------ In forming the movement estimate, some assumptions about the typical amount of movement are made. The below graph helps to verify these assumptions. Each row corresponds to a range of raw movement values and has a bar that displays the number of samples with a value in that range. The units of the raw movement value are RMS acceleration in milli-gees. 0 ############ 10 # 20 #### 30 ####################### 40 ############ 50 ##### 60 #### 70 ### 80 ### 90 ### 100 ## 110 ## 120 ## 130 ## 140 ## 150 ## 160 ## 170 # 180 # 190 # 200 # 210 # 220 # 230 # 240 # 250 260 270 280 290 300 310 320 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 590 600 610 620 630 640 650 660 670 680 690 700 710 720 730 740 750 760 770 780 790 800 810 820 830 840 850 860 870 880 890 900 910 920 930 940 950 960 970 980 990 1000 ------------ Raw temperature value ------------ The below graph shows the estimated ambient temperature in celcius. Each row corresponds to a temperature, and the bar graph shows how commonly that temperature has occurred. -40 C -39 C -38 C -37 C -36 C -35 C -34 C -33 C -32 C -31 C -30 C -29 C -28 C -27 C -26 C -25 C -24 C -23 C -22 C -21 C -20 C -19 C -18 C -17 C -16 C -15 C -14 C -13 C -12 C -11 C -10 C -9 C -8 C -7 C -6 C -5 C -4 C -3 C -2 C # -1 C # 0 C ### 1 C ## 2 C ## 3 C ## 4 C ## 5 C ## 6 C ## 7 C ### 8 C #### 9 C #### 10 C ##### 11 C ##### 12 C ##### 13 C ##### 14 C #### 15 C ### 16 C ### 17 C ### 18 C ### 19 C ### 20 C #### 21 C ##### 22 C ##### 23 C #### 24 C #### 25 C ### 26 C ### 27 C ## 28 C ## 29 C # 30 C 31 C 32 C 33 C 34 C 35 C 36 C 37 C 38 C 39 C 40 C ch>