Overview

Brought to you by YData

Dataset statistics

Number of variables30
Number of observations94718
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 MiB
Average record size in memory233.0 B

Variable types

Numeric24
Categorical5
DateTime1

Alerts

Analog Channel 0 has constant value "0.0" Constant
Analog Channel 1 has constant value "0.0" Constant
Analog Channel 2 has constant value "0.0" Constant
Marker Channel has constant value "0.0" Constant
Accel Channel 1 is highly overall correlated with Accel Channel 2 and 1 other fieldsHigh correlation
Accel Channel 2 is highly overall correlated with Accel Channel 1 and 3 other fieldsHigh correlation
Digital Channel 0 (D11) is highly overall correlated with Digital Channel 1 (D12) and 3 other fieldsHigh correlation
Digital Channel 1 (D12) is highly overall correlated with Digital Channel 0 (D11) and 3 other fieldsHigh correlation
Digital Channel 2 (D13) is highly overall correlated with Digital Channel 0 (D11) and 3 other fieldsHigh correlation
Digital Channel 3 (D17) is highly overall correlated with Digital Channel 0 (D11) and 3 other fieldsHigh correlation
Digital Channel 4 (D18) is highly overall correlated with Digital Channel 0 (D11) and 3 other fieldsHigh correlation
EXG Channel 0 is highly overall correlated with EXG Channel 10 and 5 other fieldsHigh correlation
EXG Channel 1 is highly overall correlated with EXG Channel 11 and 5 other fieldsHigh correlation
EXG Channel 10 is highly overall correlated with EXG Channel 0 and 5 other fieldsHigh correlation
EXG Channel 11 is highly overall correlated with EXG Channel 1 and 8 other fieldsHigh correlation
EXG Channel 12 is highly overall correlated with Accel Channel 1 and 3 other fieldsHigh correlation
EXG Channel 13 is highly overall correlated with Accel Channel 2 and 1 other fieldsHigh correlation
EXG Channel 14 is highly overall correlated with EXG Channel 0 and 7 other fieldsHigh correlation
EXG Channel 2 is highly overall correlated with EXG Channel 1 and 5 other fieldsHigh correlation
EXG Channel 3 is highly overall correlated with Accel Channel 2 and 5 other fieldsHigh correlation
EXG Channel 4 is highly overall correlated with EXG Channel 0 and 7 other fieldsHigh correlation
EXG Channel 5 is highly overall correlated with EXG Channel 1 and 4 other fieldsHigh correlation
EXG Channel 6 is highly overall correlated with EXG Channel 0 and 10 other fieldsHigh correlation
EXG Channel 7 is highly overall correlated with EXG Channel 11 and 5 other fieldsHigh correlation
EXG Channel 8 is highly overall correlated with EXG Channel 1 and 5 other fieldsHigh correlation
EXG Channel 9 is highly overall correlated with EXG Channel 0 and 9 other fieldsHigh correlation
Movement is highly overall correlated with EXG Channel 5High correlation
Accel Channel 1 is highly skewed (γ1 = -95.58704892) Skewed
Timestamp has unique values Unique
Digital Channel 0 (D11) has 81135 (85.7%) zeros Zeros
Digital Channel 1 (D12) has 77358 (81.7%) zeros Zeros
Digital Channel 2 (D13) has 75909 (80.1%) zeros Zeros
Digital Channel 3 (D17) has 78630 (83.0%) zeros Zeros
Digital Channel 4 (D18) has 77204 (81.5%) zeros Zeros

Reproduction

Analysis started2025-05-12 19:57:04.634910
Analysis finished2025-05-12 19:57:49.028122
Duration44.39 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

EXG Channel 0
Real number (ℝ)

High correlation 

Distinct89704
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37625.634
Minimum16610.721
Maximum72849.476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:49.084855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16610.721
5-th percentile17818.677
Q122850.401
median30659.094
Q344818.019
95-th percentile71050.554
Maximum72849.476
Range56238.755
Interquartile range (IQR)21967.619

Descriptive statistics

Standard deviation19173.891
Coefficient of variation (CV)0.50959648
Kurtosis-0.84711429
Mean37625.634
Median Absolute Deviation (MAD)10972.885
Skewness0.83897876
Sum3.5638248 × 109
Variance3.6763809 × 108
MonotonicityNot monotonic
2025-05-12T21:57:49.156416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68998.51638 5
 
< 0.1%
43542.58401 4
 
< 0.1%
69457.42005 4
 
< 0.1%
17238.11236 4
 
< 0.1%
17816.44139 4
 
< 0.1%
33482.51086 4
 
< 0.1%
69756.03935 4
 
< 0.1%
33768.97082 4
 
< 0.1%
33659.89431 4
 
< 0.1%
17895.61127 3
 
< 0.1%
Other values (89694) 94678
> 99.9%
ValueCountFrequency (%)
16610.72124 1
< 0.1%
16611.23533 1
< 0.1%
16617.1809 1
< 0.1%
16621.1148 1
< 0.1%
16625.80867 1
< 0.1%
16628.87086 1
< 0.1%
16633.36356 1
< 0.1%
16635.08465 1
< 0.1%
16638.05743 1
< 0.1%
16638.28094 1
< 0.1%
ValueCountFrequency (%)
72849.47608 1
< 0.1%
72834.07573 1
< 0.1%
72825.49266 1
< 0.1%
72822.02814 1
< 0.1%
72810.74051 1
< 0.1%
72788.96991 1
< 0.1%
72788.72404 1
< 0.1%
72785.86302 1
< 0.1%
72785.41598 1
< 0.1%
72784.45486 1
< 0.1%

EXG Channel 1
Real number (ℝ)

High correlation 

Distinct83013
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-23956.258
Minimum-43629.398
Maximum6387.8827
Zeros0
Zeros (%)0.0%
Negative72904
Negative (%)77.0%
Memory size740.1 KiB
2025-05-12T21:57:49.224326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-43629.398
5-th percentile-42871.383
Q1-34436.746
median-27060.206
Q3-20473.421
95-th percentile5804.9492
Maximum6387.8827
Range50017.281
Interquartile range (IQR)13963.325

Descriptive statistics

Standard deviation16794.023
Coefficient of variation (CV)-0.70102864
Kurtosis-0.75471765
Mean-23956.258
Median Absolute Deviation (MAD)7302.8402
Skewness0.77999663
Sum-2.2690888 × 109
Variance2.8203921 × 108
MonotonicityNot monotonic
2025-05-12T21:57:49.292927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3642.976718 6
 
< 0.1%
3265.209885 5
 
< 0.1%
3273.368272 5
 
< 0.1%
3673.285684 5
 
< 0.1%
3698.230231 5
 
< 0.1%
-26790.1527 5
 
< 0.1%
3312.081493 5
 
< 0.1%
3294.915354 5
 
< 0.1%
-27044.4932 5
 
< 0.1%
-41919.40032 5
 
< 0.1%
Other values (83003) 94667
99.9%
ValueCountFrequency (%)
-43629.39818 1
< 0.1%
-43614.22135 1
< 0.1%
-43611.6509 1
< 0.1%
-43605.57122 1
< 0.1%
-43604.83362 1
< 0.1%
-43604.6995 1
< 0.1%
-43604.52069 1
< 0.1%
-43600.7656 1
< 0.1%
-43598.64218 1
< 0.1%
-43596.9211 1
< 0.1%
ValueCountFrequency (%)
6387.882696 1
< 0.1%
6387.279199 1
< 0.1%
6384.753452 1
< 0.1%
6384.351121 1
< 0.1%
6382.317112 1
< 0.1%
6380.976007 1
< 0.1%
6380.596027 1
< 0.1%
6380.551324 1
< 0.1%
6380.193696 1
< 0.1%
6379.210219 1
< 0.1%

EXG Channel 2
Real number (ℝ)

High correlation 

Distinct86950
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-36323.141
Minimum-59584.61
Maximum-10880.539
Zeros0
Zeros (%)0.0%
Negative94718
Negative (%)100.0%
Memory size740.1 KiB
2025-05-12T21:57:49.362483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-59584.61
5-th percentile-56983.987
Q1-46364.173
median-37903.753
Q3-32634.251
95-th percentile-14006.119
Maximum-10880.539
Range48704.071
Interquartile range (IQR)13729.922

Descriptive statistics

Standard deviation13401.2
Coefficient of variation (CV)-0.36894386
Kurtosis-0.89290702
Mean-36323.141
Median Absolute Deviation (MAD)8245.525
Skewness0.3383258
Sum-3.4404553 × 109
Variance1.7959216 × 108
MonotonicityNot monotonic
2025-05-12T21:57:49.435301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17316.16465 5
 
< 0.1%
-17221.50501 5
 
< 0.1%
-32944.07969 5
 
< 0.1%
-33132.01316 5
 
< 0.1%
-17320.52324 5
 
< 0.1%
-33048.6635 5
 
< 0.1%
-33225.59991 5
 
< 0.1%
-32926.08654 4
 
< 0.1%
-17278.68078 4
 
< 0.1%
-32865.84858 4
 
< 0.1%
Other values (86940) 94671
> 99.9%
ValueCountFrequency (%)
-59584.60982 1
< 0.1%
-59582.95579 1
< 0.1%
-59574.68564 1
< 0.1%
-59567.13075 1
< 0.1%
-59564.38149 1
< 0.1%
-59562.10161 1
< 0.1%
-59560.29112 1
< 0.1%
-59559.26294 1
< 0.1%
-59557.96654 1
< 0.1%
-59555.44079 1
< 0.1%
ValueCountFrequency (%)
-10880.53863 1
< 0.1%
-10884.91957 1
< 0.1%
-10886.39479 1
< 0.1%
-10887.33356 1
< 0.1%
-10898.12945 1
< 0.1%
-10898.8 1
< 0.1%
-10904.58911 1
< 0.1%
-10905.21495 1
< 0.1%
-10906.82428 1
< 0.1%
-10910.2888 1
< 0.1%

EXG Channel 3
Real number (ℝ)

High correlation 

Distinct80606
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-23411.605
Minimum-40778.768
Maximum-12545.118
Zeros0
Zeros (%)0.0%
Negative94718
Negative (%)100.0%
Memory size740.1 KiB
2025-05-12T21:57:49.510153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-40778.768
5-th percentile-39909.576
Q1-26302.723
median-22155.194
Q3-17889.766
95-th percentile-13176.577
Maximum-12545.118
Range28233.651
Interquartile range (IQR)8412.9563

Descriptive statistics

Standard deviation8038.0004
Coefficient of variation (CV)-0.34333401
Kurtosis-0.31152846
Mean-23411.605
Median Absolute Deviation (MAD)4172.7131
Skewness-0.68764703
Sum-2.2175004 × 109
Variance64609450
MonotonicityNot monotonic
2025-05-12T21:57:49.584328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26198.70319 9
 
< 0.1%
-26214.41647 7
 
< 0.1%
-26177.93842 7
 
< 0.1%
-26153.955 7
 
< 0.1%
-26244.8819 6
 
< 0.1%
-26214.8635 6
 
< 0.1%
-26193.49524 6
 
< 0.1%
-26177.24552 6
 
< 0.1%
-26155.83255 6
 
< 0.1%
-26170.69646 6
 
< 0.1%
Other values (80596) 94652
99.9%
ValueCountFrequency (%)
-40778.76845 1
< 0.1%
-40768.86663 1
< 0.1%
-40761.66937 1
< 0.1%
-40761.55761 1
< 0.1%
-40758.2272 1
< 0.1%
-40754.24859 1
< 0.1%
-40749.59943 1
< 0.1%
-40744.48088 1
< 0.1%
-40744.12325 1
< 0.1%
-40744.01149 1
< 0.1%
ValueCountFrequency (%)
-12545.11774 1
< 0.1%
-12554.23725 1
< 0.1%
-12560.20517 1
< 0.1%
-12565.52488 1
< 0.1%
-12567.31302 1
< 0.1%
-12573.34799 1
< 0.1%
-12574.93497 1
< 0.1%
-12576.09726 1
< 0.1%
-12581.59579 1
< 0.1%
-12584.14389 1
< 0.1%

EXG Channel 4
Real number (ℝ)

High correlation 

Distinct89384
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22410.622
Minimum-47872.139
Maximum-5855.33
Zeros0
Zeros (%)0.0%
Negative94718
Negative (%)100.0%
Memory size740.1 KiB
2025-05-12T21:57:49.657474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-47872.139
5-th percentile-45088.493
Q1-31849.532
median-19947.49
Q3-12274.505
95-th percentile-6479.0309
Maximum-5855.33
Range42016.809
Interquartile range (IQR)19575.026

Descriptive statistics

Standard deviation11634.279
Coefficient of variation (CV)-0.51914127
Kurtosis-0.69484849
Mean-22410.622
Median Absolute Deviation (MAD)8410.4138
Skewness-0.50793756
Sum-2.1226893 × 109
Variance1.3535644 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.052822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6172.255417 4
 
< 0.1%
-6541.68505 4
 
< 0.1%
-13073.46828 4
 
< 0.1%
-33104.49816 4
 
< 0.1%
-12544.82717 4
 
< 0.1%
-18477.42718 4
 
< 0.1%
-12314.17952 4
 
< 0.1%
-13093.16016 4
 
< 0.1%
-6371.700033 4
 
< 0.1%
-12968.16921 4
 
< 0.1%
Other values (89374) 94678
> 99.9%
ValueCountFrequency (%)
-47872.13926 1
< 0.1%
-47868.51828 1
< 0.1%
-47854.83901 1
< 0.1%
-47790.39893 1
< 0.1%
-47767.5778 1
< 0.1%
-47718.47102 1
< 0.1%
-47692.11831 1
< 0.1%
-47690.62074 1
< 0.1%
-47684.54107 1
< 0.1%
-47675.51096 1
< 0.1%
ValueCountFrequency (%)
-5855.330033 1
< 0.1%
-5860.202713 1
< 0.1%
-5863.421364 1
< 0.1%
-5865.768297 1
< 0.1%
-5866.192981 1
< 0.1%
-5871.333882 1
< 0.1%
-5871.490344 1
< 0.1%
-5871.736213 1
< 0.1%
-5872.384414 1
< 0.1%
-5877.167687 1
< 0.1%

EXG Channel 5
Real number (ℝ)

High correlation 

Distinct87201
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25629.447
Minimum3676.8173
Maximum52524.275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:50.117079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3676.8173
5-th percentile4541.67
Q119153.869
median25405.004
Q335532.563
95-th percentile43968.018
Maximum52524.275
Range48847.458
Interquartile range (IQR)16378.693

Descriptive statistics

Standard deviation12250.127
Coefficient of variation (CV)0.47797078
Kurtosis-0.76494266
Mean25629.447
Median Absolute Deviation (MAD)9817.1879
Skewness-0.30223782
Sum2.42757 × 109
Variance1.5006561 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.187530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25213.28184 5
 
< 0.1%
25369.96756 5
 
< 0.1%
25370.72752 5
 
< 0.1%
25093.45413 5
 
< 0.1%
25318.5362 5
 
< 0.1%
25482.5533 5
 
< 0.1%
25423.23177 5
 
< 0.1%
25224.61417 5
 
< 0.1%
25222.26724 5
 
< 0.1%
25411.11713 5
 
< 0.1%
Other values (87191) 94668
99.9%
ValueCountFrequency (%)
3676.817259 1
< 0.1%
3684.439204 1
< 0.1%
3693.312847 1
< 0.1%
3697.693789 1
< 0.1%
3707.148577 1
< 0.1%
3717.028048 1
< 0.1%
3747.962862 1
< 0.1%
3762.715013 1
< 0.1%
3765.352519 1
< 0.1%
3769.711109 1
< 0.1%
ValueCountFrequency (%)
52524.27489 1
< 0.1%
52512.2273 1
< 0.1%
52503.62188 1
< 0.1%
52501.76668 1
< 0.1%
52499.08447 1
< 0.1%
52486.34398 1
< 0.1%
52477.91737 1
< 0.1%
52472.70941 1
< 0.1%
52471.54712 1
< 0.1%
52465.89213 1
< 0.1%

EXG Channel 6
Real number (ℝ)

High correlation 

Distinct85596
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-39503.564
Minimum-61627.425
Maximum-7707.2168
Zeros0
Zeros (%)0.0%
Negative94718
Negative (%)100.0%
Memory size740.1 KiB
2025-05-12T21:57:50.260949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-61627.425
5-th percentile-60991.786
Q1-51845.397
median-43429.249
Q3-39720.397
95-th percentile-8032.7599
Maximum-7707.2168
Range53920.208
Interquartile range (IQR)12125

Descriptive statistics

Standard deviation17761.139
Coefficient of variation (CV)-0.44960853
Kurtosis-0.6688669
Mean-39503.564
Median Absolute Deviation (MAD)8166.8022
Skewness0.86450951
Sum-3.7416985 × 109
Variance3.1545806 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.335202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7971.950826 5
 
< 0.1%
-8053.75821 5
 
< 0.1%
-52210.21053 5
 
< 0.1%
-9043.068772 5
 
< 0.1%
-7930.890671 5
 
< 0.1%
-8053.959376 5
 
< 0.1%
-39910.6714 5
 
< 0.1%
-7940.2337 5
 
< 0.1%
-8084.938894 5
 
< 0.1%
-8111.336304 5
 
< 0.1%
Other values (85586) 94668
99.9%
ValueCountFrequency (%)
-61627.42515 1
< 0.1%
-61624.54177 1
< 0.1%
-61623.26772 1
< 0.1%
-61622.2619 1
< 0.1%
-61621.25607 1
< 0.1%
-61621.12196 1
< 0.1%
-61619.73615 1
< 0.1%
-61616.13752 1
< 0.1%
-61615.9587 1
< 0.1%
-61614.46114 1
< 0.1%
ValueCountFrequency (%)
-7707.216764 1
< 0.1%
-7733.323602 1
< 0.1%
-7749.394506 1
< 0.1%
-7749.729782 1
< 0.1%
-7751.540274 1
< 0.1%
-7753.551931 1
< 0.1%
-7755.161256 1
< 0.1%
-7755.921216 1
< 0.1%
-7755.988271 1
< 0.1%
-7756.435306 1
< 0.1%

EXG Channel 7
Real number (ℝ)

High correlation 

Distinct82689
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2768.2589
Minimum-25260.131
Maximum11604.378
Zeros0
Zeros (%)0.0%
Negative48771
Negative (%)51.5%
Memory size740.1 KiB
2025-05-12T21:57:50.406837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25260.131
5-th percentile-24184.962
Q1-7631.2041
median-4488.2303
Q37388.0394
95-th percentile9093.0953
Maximum11604.378
Range36864.509
Interquartile range (IQR)15019.244

Descriptive statistics

Standard deviation10253.477
Coefficient of variation (CV)-3.7039446
Kurtosis-0.29479288
Mean-2768.2589
Median Absolute Deviation (MAD)5529.8886
Skewness-0.68962462
Sum-2.6220395 × 108
Variance1.051338 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.479815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
510.4467881 6
 
< 0.1%
8861.930235 6
 
< 0.1%
8934.215776 6
 
< 0.1%
9089.538048 5
 
< 0.1%
7442.303889 5
 
< 0.1%
-5486.705063 5
 
< 0.1%
-6789.051806 5
 
< 0.1%
-5538.56111 5
 
< 0.1%
-6688.312493 5
 
< 0.1%
-5653.650243 5
 
< 0.1%
Other values (82679) 94665
99.9%
ValueCountFrequency (%)
-25260.13109 1
< 0.1%
-25179.86598 1
< 0.1%
-25168.91362 1
< 0.1%
-25168.66775 1
< 0.1%
-25139.23051 1
< 0.1%
-25085.47456 1
< 0.1%
-25084.31227 1
< 0.1%
-25076.48916 1
< 0.1%
-25061.51349 1
< 0.1%
-25036.27837 1
< 0.1%
ValueCountFrequency (%)
11604.37752 1
< 0.1%
11601.78472 1
< 0.1%
11594.63216 1
< 0.1%
11575.56612 1
< 0.1%
11572.41453 1
< 0.1%
11570.22406 1
< 0.1%
11569.53115 1
< 0.1%
11568.72649 1
< 0.1%
11567.98888 1
< 0.1%
11564.16673 1
< 0.1%

EXG Channel 8
Real number (ℝ)

High correlation 

Distinct78265
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7323.1157
Minimum-8018.666
Maximum24152.356
Zeros0
Zeros (%)0.0%
Negative12878
Negative (%)13.6%
Memory size740.1 KiB
2025-05-12T21:57:50.552547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8018.666
5-th percentile-4234.1222
Q11126.3715
median7288.3562
Q310075.356
95-th percentile21922.385
Maximum24152.356
Range32171.022
Interquartile range (IQR)8948.9847

Descriptive statistics

Standard deviation8312.1574
Coefficient of variation (CV)1.1350575
Kurtosis-0.79841132
Mean7323.1157
Median Absolute Deviation (MAD)6117.0354
Skewness0.64654828
Sum6.9363087 × 108
Variance69091961
MonotonicityNot monotonic
2025-05-12T21:57:50.623870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7512.041332 7
 
< 0.1%
19302.34066 7
 
< 0.1%
1214.817311 7
 
< 0.1%
3634.907739 6
 
< 0.1%
7509.090902 6
 
< 0.1%
7367.134972 6
 
< 0.1%
3653.459686 6
 
< 0.1%
3683.031044 6
 
< 0.1%
3630.392686 6
 
< 0.1%
7444.606119 6
 
< 0.1%
Other values (78255) 94655
99.9%
ValueCountFrequency (%)
-8018.665972 1
< 0.1%
-7996.493041 1
< 0.1%
-7932.209424 1
< 0.1%
-7878.095851 1
< 0.1%
-7846.17756 1
< 0.1%
-7612.937106 1
< 0.1%
-7549.793428 1
< 0.1%
-7533.521358 1
< 0.1%
-7512.980105 1
< 0.1%
-7292.927181 1
< 0.1%
ValueCountFrequency (%)
24152.35629 1
< 0.1%
24144.62258 1
< 0.1%
24142.54387 1
< 0.1%
24135.79364 1
< 0.1%
24125.73536 1
< 0.1%
24123.92487 1
< 0.1%
24120.90738 1
< 0.1%
24120.79562 1
< 0.1%
24120.10272 1
< 0.1%
24119.56628 1
< 0.1%

EXG Channel 9
Real number (ℝ)

High correlation 

Distinct84221
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10012.676
Minimum-25006.841
Maximum11926.131
Zeros0
Zeros (%)0.0%
Negative72904
Negative (%)77.0%
Memory size740.1 KiB
2025-05-12T21:57:50.694475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25006.841
5-th percentile-24293.623
Q1-18939.477
median-14582.703
Q3-4241.78
95-th percentile9593.001
Maximum11926.131
Range36932.972
Interquartile range (IQR)14697.697

Descriptive statistics

Standard deviation11312.748
Coefficient of variation (CV)-1.1298426
Kurtosis-1.1296198
Mean-10012.676
Median Absolute Deviation (MAD)8065.1464
Skewness0.45119107
Sum-9.4838068 × 108
Variance1.2797827 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.768634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-18549.62332 6
 
< 0.1%
-7580.035338 5
 
< 0.1%
-18432.88016 5
 
< 0.1%
-21042.98276 5
 
< 0.1%
4142.940538 5
 
< 0.1%
-18747.25744 5
 
< 0.1%
-24227.56991 5
 
< 0.1%
-20953.66519 4
 
< 0.1%
-4601.844204 4
 
< 0.1%
-18452.16971 4
 
< 0.1%
Other values (84211) 94670
99.9%
ValueCountFrequency (%)
-25006.84112 1
< 0.1%
-24967.30089 1
< 0.1%
-24958.74017 1
< 0.1%
-24951.52056 1
< 0.1%
-24946.9608 1
< 0.1%
-24932.38746 1
< 0.1%
-24925.12315 1
< 0.1%
-24916.78595 1
< 0.1%
-24912.53911 1
< 0.1%
-24911.98032 1
< 0.1%
ValueCountFrequency (%)
11926.13088 1
< 0.1%
11922.91223 1
< 0.1%
11922.84518 1
< 0.1%
11921.05704 1
< 0.1%
11918.59834 1
< 0.1%
11914.10564 1
< 0.1%
11913.39039 1
< 0.1%
11912.71984 1
< 0.1%
11908.45065 1
< 0.1%
11908.04832 1
< 0.1%

EXG Channel 10
Real number (ℝ)

High correlation 

Distinct89032
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9103.1277
Minimum-37258.145
Maximum18503.646
Zeros0
Zeros (%)0.0%
Negative55849
Negative (%)59.0%
Memory size740.1 KiB
2025-05-12T21:57:50.840888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-37258.145
5-th percentile-36260.801
Q1-32223.119
median-9238.4118
Q34227.1228
95-th percentile17844.162
Maximum18503.646
Range55761.791
Interquartile range (IQR)36450.241

Descriptive statistics

Standard deviation18482.226
Coefficient of variation (CV)-2.030316
Kurtosis-1.3014907
Mean-9103.1277
Median Absolute Deviation (MAD)20693.703
Skewness-0.13260469
Sum-8.6223005 × 108
Variance3.4159268 × 108
MonotonicityNot monotonic
2025-05-12T21:57:50.912290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-36241.6102 5
 
< 0.1%
-36075.6485 4
 
< 0.1%
17552.42259 4
 
< 0.1%
17788.23349 4
 
< 0.1%
17840.98361 4
 
< 0.1%
17822.05168 4
 
< 0.1%
3046.565121 4
 
< 0.1%
-32939.7211 4
 
< 0.1%
3100.254011 4
 
< 0.1%
17947.42262 4
 
< 0.1%
Other values (89022) 94677
> 99.9%
ValueCountFrequency (%)
-37258.14518 1
< 0.1%
-37256.78173 1
< 0.1%
-37250.18796 1
< 0.1%
-37227.38918 1
< 0.1%
-37226.51747 1
< 0.1%
-37191.73815 1
< 0.1%
-37182.86451 1
< 0.1%
-37178.08124 1
< 0.1%
-37177.00835 1
< 0.1%
-37171.12984 1
< 0.1%
ValueCountFrequency (%)
18503.64578 1
< 0.1%
18497.81197 1
< 0.1%
18494.45921 1
< 0.1%
18492.3805 1
< 0.1%
18485.78673 1
< 0.1%
18479.19297 1
< 0.1%
18478.18714 1
< 0.1%
18477.62835 1
< 0.1%
18474.34264 1
< 0.1%
18474.11912 1
< 0.1%

EXG Channel 11
Real number (ℝ)

High correlation 

Distinct78681
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18589.413
Minimum-844.78418
Maximum41575.988
Zeros0
Zeros (%)0.0%
Negative75
Negative (%)0.1%
Memory size740.1 KiB
2025-05-12T21:57:50.982622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-844.78418
5-th percentile1468.4448
Q112732.342
median15019.456
Q318418.53
95-th percentile39497.835
Maximum41575.988
Range42420.772
Interquartile range (IQR)5686.1888

Descriptive statistics

Standard deviation11934.487
Coefficient of variation (CV)0.64200452
Kurtosis-0.53858935
Mean18589.413
Median Absolute Deviation (MAD)2337.009
Skewness0.73056527
Sum1.760752 × 109
Variance1.4243198 × 108
MonotonicityNot monotonic
2025-05-12T21:57:51.050516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14962.68242 8
 
< 0.1%
14977.144 8
 
< 0.1%
15042.74637 7
 
< 0.1%
14937.58141 7
 
< 0.1%
14986.28586 7
 
< 0.1%
14916.63783 7
 
< 0.1%
15041.31586 7
 
< 0.1%
15016.14779 7
 
< 0.1%
14970.95257 7
 
< 0.1%
14950.56778 6
 
< 0.1%
Other values (78671) 94647
99.9%
ValueCountFrequency (%)
-844.7841817 1
< 0.1%
-842.7501729 1
< 0.1%
-779.8300123 1
< 0.1%
-766.3072069 1
< 0.1%
-760.6298638 1
< 0.1%
-753.3655469 1
< 0.1%
-742.2567299 1
< 0.1%
-713.1547586 1
< 0.1%
-634.0295832 1
< 0.1%
-613.4212748 1
< 0.1%
ValueCountFrequency (%)
41575.98812 1
< 0.1%
41570.78017 1
< 0.1%
41568.72381 1
< 0.1%
41567.29329 1
< 0.1%
41554.10577 1
< 0.1%
41550.79771 1
< 0.1%
41533.05042 1
< 0.1%
41529.22827 1
< 0.1%
41525.02615 1
< 0.1%
41522.29923 1
< 0.1%

EXG Channel 12
Real number (ℝ)

High correlation 

Distinct83472
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.86105
Minimum-15175.695
Maximum13248.46
Zeros0
Zeros (%)0.0%
Negative33280
Negative (%)35.1%
Memory size740.1 KiB
2025-05-12T21:57:51.117725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-15175.695
5-th percentile-13753.027
Q1-3286.757
median1770.1352
Q36055.177
95-th percentile10399.969
Maximum13248.46
Range28424.155
Interquartile range (IQR)9341.9339

Descriptive statistics

Standard deviation6982.2227
Coefficient of variation (CV)7.3046419
Kurtosis-0.13327291
Mean955.86105
Median Absolute Deviation (MAD)4838.8733
Skewness-0.74636898
Sum90537247
Variance48751434
MonotonicityNot monotonic
2025-05-12T21:57:51.186207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3160.022576 6
 
< 0.1%
-3572.211095 5
 
< 0.1%
-3817.812063 5
 
< 0.1%
6144.136923 5
 
< 0.1%
2163.626512 5
 
< 0.1%
5673.386833 5
 
< 0.1%
-3672.704538 5
 
< 0.1%
-3137.536721 5
 
< 0.1%
5705.416883 5
 
< 0.1%
-3270.283731 5
 
< 0.1%
Other values (83462) 94667
99.9%
ValueCountFrequency (%)
-15175.69455 1
< 0.1%
-15140.37879 1
< 0.1%
-15134.50028 1
< 0.1%
-15101.73262 1
< 0.1%
-15101.66557 1
< 0.1%
-15047.28377 1
< 0.1%
-15030.58702 1
< 0.1%
-15004.94957 1
< 0.1%
-15000.09924 1
< 0.1%
-14986.03999 1
< 0.1%
ValueCountFrequency (%)
13248.46008 1
< 0.1%
13238.26769 1
< 0.1%
13236.81483 1
< 0.1%
13233.28325 1
< 0.1%
13227.96353 1
< 0.1%
13227.31533 1
< 0.1%
13224.81194 1
< 0.1%
13214.82071 1
< 0.1%
13212.45142 1
< 0.1%
13207.22112 1
< 0.1%

EXG Channel 13
Real number (ℝ)

High correlation 

Distinct90491
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5958.2094
Minimum-109673.1
Maximum53273.751
Zeros0
Zeros (%)0.0%
Negative31268
Negative (%)33.0%
Memory size740.1 KiB
2025-05-12T21:57:51.255047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-109673.1
5-th percentile-50512.759
Q1-13717.148
median7381.0266
Q334850.913
95-th percentile48947.22
Maximum53273.751
Range162946.85
Interquartile range (IQR)48568.061

Descriptive statistics

Standard deviation31960.975
Coefficient of variation (CV)5.3641913
Kurtosis0.45515311
Mean5958.2094
Median Absolute Deviation (MAD)21711.613
Skewness-0.66424565
Sum5.6434967 × 108
Variance1.0215039 × 109
MonotonicityNot monotonic
2025-05-12T21:57:51.330845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7232.845692 5
 
< 0.1%
7222.541538 5
 
< 0.1%
7142.991679 5
 
< 0.1%
7027.187291 5
 
< 0.1%
7155.799229 4
 
< 0.1%
7187.002264 4
 
< 0.1%
7271.961245 4
 
< 0.1%
48924.32528 4
 
< 0.1%
10734.53703 4
 
< 0.1%
6960.199113 4
 
< 0.1%
Other values (90481) 94674
> 99.9%
ValueCountFrequency (%)
-109673.1034 1
< 0.1%
-109580.7459 1
< 0.1%
-109552.1804 1
< 0.1%
-109318.8953 1
< 0.1%
-109151.6372 1
< 0.1%
-108977.7629 1
< 0.1%
-108975.3936 1
< 0.1%
-108847.4746 1
< 0.1%
-108771.7916 1
< 0.1%
-108700.1096 1
< 0.1%
ValueCountFrequency (%)
53273.75123 1
< 0.1%
53219.5706 1
< 0.1%
53209.66878 1
< 0.1%
53203.56675 1
< 0.1%
53203.20913 1
< 0.1%
53202.51622 1
< 0.1%
53202.49387 1
< 0.1%
53193.10614 1
< 0.1%
53185.86417 1
< 0.1%
53182.3326 1
< 0.1%

EXG Channel 14
Real number (ℝ)

High correlation 

Distinct82607
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3333.9598
Minimum-32828.678
Maximum44157.257
Zeros0
Zeros (%)0.0%
Negative72904
Negative (%)77.0%
Memory size740.1 KiB
2025-05-12T21:57:51.406559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-32828.678
5-th percentile-31830.359
Q1-18942.986
median-17050.604
Q3-4849.6468
95-th percentile43334.276
Maximum44157.257
Range76985.935
Interquartile range (IQR)14093.339

Descriptive statistics

Standard deviation25785.808
Coefficient of variation (CV)-7.7342886
Kurtosis-0.59713883
Mean-3333.9598
Median Absolute Deviation (MAD)10877.488
Skewness0.98922409
Sum-3.1578601 × 108
Variance6.6490787 × 108
MonotonicityNot monotonic
2025-05-12T21:57:51.475681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-18042.64105 6
 
< 0.1%
-18252.45687 6
 
< 0.1%
-19766.29582 5
 
< 0.1%
-18196.86809 5
 
< 0.1%
-19846.69505 5
 
< 0.1%
-18041.47876 5
 
< 0.1%
-18321.74728 5
 
< 0.1%
-18258.69301 5
 
< 0.1%
-18248.65708 5
 
< 0.1%
-18253.4627 5
 
< 0.1%
Other values (82597) 94666
99.9%
ValueCountFrequency (%)
-32828.67763 1
< 0.1%
-32817.76998 1
< 0.1%
-32813.07612 1
< 0.1%
-32724.89848 1
< 0.1%
-32709.83341 1
< 0.1%
-32703.37375 1
< 0.1%
-32695.39418 1
< 0.1%
-32632.65283 1
< 0.1%
-32629.34478 1
< 0.1%
-32626.14848 1
< 0.1%
ValueCountFrequency (%)
44157.25698 1
< 0.1%
44154.19479 1
< 0.1%
44148.5398 1
< 0.1%
44147.10929 1
< 0.1%
44146.21522 1
< 0.1%
44139.08501 1
< 0.1%
44129.16084 1
< 0.1%
44128.80321 1
< 0.1%
44128.37853 1
< 0.1%
44127.93149 1
< 0.1%

EXG Channel 15
Real number (ℝ)

Distinct85437
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3959.5665
Minimum-49256.36
Maximum35344.009
Zeros0
Zeros (%)0.0%
Negative62376
Negative (%)65.9%
Memory size740.1 KiB
2025-05-12T21:57:51.547577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-49256.36
5-th percentile-48582.068
Q1-7237.2602
median-5165.9687
Q36948.7103
95-th percentile31613.248
Maximum35344.009
Range84600.369
Interquartile range (IQR)14185.97

Descriptive statistics

Standard deviation20203.29
Coefficient of variation (CV)-5.1023995
Kurtosis0.85776942
Mean-3959.5665
Median Absolute Deviation (MAD)2789.2407
Skewness-0.66098894
Sum-3.7504222 × 108
Variance4.0817292 × 108
MonotonicityNot monotonic
2025-05-12T21:57:51.615731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7768.751117 6
 
< 0.1%
-7130.83233 6
 
< 0.1%
-6998.577058 5
 
< 0.1%
-4255.906255 5
 
< 0.1%
-4473.321673 5
 
< 0.1%
-7022.672239 5
 
< 0.1%
-7403.545964 4
 
< 0.1%
-5495.668113 4
 
< 0.1%
-5386.792765 4
 
< 0.1%
-7012.636305 4
 
< 0.1%
Other values (85427) 94670
99.9%
ValueCountFrequency (%)
-49256.36044 1
< 0.1%
-49252.15831 1
< 0.1%
-49246.8386 1
< 0.1%
-49246.2351 1
< 0.1%
-49245.74336 1
< 0.1%
-49245.51985 1
< 0.1%
-49244.55872 1
< 0.1%
-49240.446 2
< 0.1%
-49239.39547 1
< 0.1%
-49238.5461 1
< 0.1%
ValueCountFrequency (%)
35344.00884 1
< 0.1%
35141.79261 1
< 0.1%
34959.62589 1
< 0.1%
34806.5835 1
< 0.1%
34656.26802 1
< 0.1%
34438.96436 1
< 0.1%
34394.59615 1
< 0.1%
34393.07623 1
< 0.1%
34314.50985 1
< 0.1%
34263.77139 1
< 0.1%

Accel Channel 0
Real number (ℝ)

Distinct6494
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00055569894
Minimum-0.104
Maximum0.42125
Zeros150
Zeros (%)0.2%
Negative50924
Negative (%)53.8%
Memory size740.1 KiB
2025-05-12T21:57:51.683373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.104
5-th percentile-0.064
Q1-0.026
median-0.0037734375
Q30.0254375
95-th percentile0.068262506
Maximum0.42125
Range0.52525
Interquartile range (IQR)0.0514375

Descriptive statistics

Standard deviation0.03923091
Coefficient of variation (CV)-70.597418
Kurtosis0.53248718
Mean-0.00055569894
Median Absolute Deviation (MAD)0.025476562
Skewness0.12644243
Sum-52.634692
Variance0.0015390643
MonotonicityNot monotonic
2025-05-12T21:57:51.756563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.002 1755
 
1.9%
-0.008 1685
 
1.8%
-0.006 1670
 
1.8%
0.002 1515
 
1.6%
-0.004 1496
 
1.6%
0.004 1380
 
1.5%
-0.01 1275
 
1.3%
-0.012 1125
 
1.2%
-0.014 1080
 
1.1%
-0.028 1070
 
1.1%
Other values (6484) 80667
85.2%
ValueCountFrequency (%)
-0.104 10
 
< 0.1%
-0.102 10
 
< 0.1%
-0.1006225586 5
 
< 0.1%
-0.1003112793 5
 
< 0.1%
-0.1001556396 6
 
< 0.1%
-0.1 25
< 0.1%
-0.099921875 5
 
< 0.1%
-0.09924511719 5
 
< 0.1%
-0.09898046875 5
 
< 0.1%
-0.09849023437 5
 
< 0.1%
ValueCountFrequency (%)
0.42125 2
 
< 0.1%
0.198625 5
 
< 0.1%
0.136 10
< 0.1%
0.134 5
 
< 0.1%
0.132 15
< 0.1%
0.128 10
< 0.1%
0.126 10
< 0.1%
0.124 10
< 0.1%
0.123 5
 
< 0.1%
0.1225 5
 
< 0.1%

Accel Channel 1
Real number (ℝ)

High correlation  Skewed 

Distinct4762
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0223923
Minimum-2.901375
Maximum1.048
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)< 0.1%
Memory size740.1 KiB
2025-05-12T21:57:51.831028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.901375
5-th percentile0.9998125
Q11.0215806
median1.026
Q31.028
95-th percentile1.0308789
Maximum1.048
Range3.949375
Interquartile range (IQR)0.0064194336

Descriptive statistics

Standard deviation0.026290855
Coefficient of variation (CV)0.025715035
Kurtosis12236.672
Mean1.0223923
Median Absolute Deviation (MAD)0.0024824219
Skewness-95.587049
Sum96838.958
Variance0.00069120906
MonotonicityNot monotonic
2025-05-12T21:57:51.905346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.026 10886
 
11.5%
1.028 8792
 
9.3%
1.024 6946
 
7.3%
1.03 5025
 
5.3%
1.022 3895
 
4.1%
1.02 2690
 
2.8%
1.018 2046
 
2.2%
1.032 1876
 
2.0%
1.016 1530
 
1.6%
1.014 1024
 
1.1%
Other values (4752) 50008
52.8%
ValueCountFrequency (%)
-2.901375 2
 
< 0.1%
-0.9436875 5
< 0.1%
0.03615625 5
< 0.1%
0.525078125 5
< 0.1%
0.7685390625 5
< 0.1%
0.8892695312 5
< 0.1%
0.9496347656 5
< 0.1%
0.956 5
< 0.1%
0.96 5
< 0.1%
0.962 5
< 0.1%
ValueCountFrequency (%)
1.048 5
 
< 0.1%
1.0479375 5
 
< 0.1%
1.046 5
 
< 0.1%
1.045671875 5
 
< 0.1%
1.044 20
< 0.1%
1.043875 5
 
< 0.1%
1.043835937 5
 
< 0.1%
1.04271875 5
 
< 0.1%
1.042359375 5
 
< 0.1%
1.042 30
< 0.1%

Accel Channel 2
Real number (ℝ)

High correlation 

Distinct7292
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.054604495
Minimum-0.4
Maximum2.903875
Zeros845
Zeros (%)0.9%
Negative37284
Negative (%)39.4%
Memory size740.1 KiB
2025-05-12T21:57:52.324772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.068
Q1-0.023137573
median0.0210625
Q30.136
95-th percentile0.254
Maximum2.903875
Range3.303875
Interquartile range (IQR)0.15913757

Descriptive statistics

Standard deviation0.10707317
Coefficient of variation (CV)1.9608856
Kurtosis12.509285
Mean0.054604495
Median Absolute Deviation (MAD)0.0690625
Skewness1.0258364
Sum5172.0286
Variance0.011464663
MonotonicityNot monotonic
2025-05-12T21:57:52.397314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.002 880
 
0.9%
0 845
 
0.9%
-0.008 795
 
0.8%
-0.004 755
 
0.8%
-0.006 755
 
0.8%
0.002 705
 
0.7%
-0.01 695
 
0.7%
0.006 665
 
0.7%
-0.05 650
 
0.7%
-0.012 635
 
0.7%
Other values (7282) 87338
92.2%
ValueCountFrequency (%)
-0.4 5
< 0.1%
-0.398 5
< 0.1%
-0.396 5
< 0.1%
-0.394 5
< 0.1%
-0.392 5
< 0.1%
-0.386 5
< 0.1%
-0.384 5
< 0.1%
-0.376 5
< 0.1%
-0.37 5
< 0.1%
-0.36 5
< 0.1%
ValueCountFrequency (%)
2.903875 2
 
< 0.1%
1.5609375 5
 
< 0.1%
0.88846875 5
 
< 0.1%
0.554234375 5
 
< 0.1%
0.3861171875 5
 
< 0.1%
0.312 5
 
< 0.1%
0.308 40
< 0.1%
0.30615625 5
 
< 0.1%
0.306 60
0.1%
0.305 5
 
< 0.1%

Digital Channel 0 (D11)
Real number (ℝ)

High correlation  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.288863
Minimum0
Maximum189.75
Zeros81135
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:52.453183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile127.5
Maximum189.75
Range189.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.877357
Coefficient of variation (CV)2.9255594
Kurtosis4.7163491
Mean13.288863
Median Absolute Deviation (MAD)0
Skewness2.5913871
Sum1258694.5
Variance1511.4489
MonotonicityNot monotonic
2025-05-12T21:57:52.503299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 81135
85.7%
127.5 6470
 
6.8%
0.5 2494
 
2.6%
127 2475
 
2.6%
1 1000
 
1.1%
126.5 867
 
0.9%
1.5 211
 
0.2%
126 55
 
0.1%
2 8
 
< 0.1%
6.5 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 81135
85.7%
0.5 2494
 
2.6%
1 1000
 
1.1%
1.5 211
 
0.2%
2 8
 
< 0.1%
6.5 1
 
< 0.1%
63.25 1
 
< 0.1%
126 55
 
0.1%
126.5 867
 
0.9%
127 2475
 
2.6%
ValueCountFrequency (%)
189.75 1
 
< 0.1%
127.5 6470
6.8%
127 2475
 
2.6%
126.5 867
 
0.9%
126 55
 
0.1%
63.25 1
 
< 0.1%
6.5 1
 
< 0.1%
2 8
 
< 0.1%
1.5 211
 
0.2%
1 1000
 
1.1%

Digital Channel 1 (D12)
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.841899
Minimum0
Maximum120
Zeros77358
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:52.553765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.580379
Coefficient of variation (CV)2.4979422
Kurtosis4.9398147
Mean11.841899
Median Absolute Deviation (MAD)0
Skewness2.5007389
Sum1121641
Variance874.99884
MonotonicityNot monotonic
2025-05-12T21:57:52.623393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 77358
81.7%
8 1445
 
1.5%
16 1438
 
1.5%
120 1388
 
1.5%
104 1384
 
1.5%
112 1372
 
1.4%
96 1241
 
1.3%
24 1193
 
1.3%
88 1090
 
1.2%
32 1087
 
1.1%
Other values (8) 5722
 
6.0%
ValueCountFrequency (%)
0 77358
81.7%
8 1445
 
1.5%
12 1
 
< 0.1%
16 1438
 
1.5%
21 1
 
< 0.1%
24 1193
 
1.3%
32 1087
 
1.1%
40 1007
 
1.1%
48 927
 
1.0%
56 866
 
0.9%
ValueCountFrequency (%)
120 1388
1.5%
112 1372
1.4%
104 1384
1.5%
96 1241
1.3%
88 1090
1.2%
80 1026
1.1%
72 980
1.0%
64 914
1.0%
56 866
0.9%
48 927
1.0%

Digital Channel 2 (D13)
Real number (ℝ)

High correlation  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1427474
Minimum0
Maximum82.5
Zeros75909
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:52.691672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum82.5
Range82.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.3185617
Coefficient of variation (CV)2.0105216
Kurtosis0.54182741
Mean3.1427474
Median Absolute Deviation (MAD)0
Skewness1.5294792
Sum297674.75
Variance39.924222
MonotonicityNot monotonic
2025-05-12T21:57:52.843637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 75909
80.1%
16 12768
 
13.5%
15.5 5406
 
5.7%
15 631
 
0.7%
82.5 1
 
< 0.1%
8 1
 
< 0.1%
23.75 1
 
< 0.1%
14.5 1
 
< 0.1%
ValueCountFrequency (%)
0 75909
80.1%
8 1
 
< 0.1%
14.5 1
 
< 0.1%
15 631
 
0.7%
15.5 5406
 
5.7%
16 12768
 
13.5%
23.75 1
 
< 0.1%
82.5 1
 
< 0.1%
ValueCountFrequency (%)
82.5 1
 
< 0.1%
23.75 1
 
< 0.1%
16 12768
 
13.5%
15.5 5406
 
5.7%
15 631
 
0.7%
14.5 1
 
< 0.1%
8 1
 
< 0.1%
0 75909
80.1%

Digital Channel 3 (D17)
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9685224
Minimum0
Maximum120
Zeros78630
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:53.002972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile88
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.958856
Coefficient of variation (CV)3.1321812
Kurtosis11.652294
Mean7.9685224
Median Absolute Deviation (MAD)0
Skewness3.5662192
Sum754762.5
Variance622.94448
MonotonicityNot monotonic
2025-05-12T21:57:53.136046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 78630
83.0%
8 3943
 
4.2%
16 3300
 
3.5%
24 1949
 
2.1%
120 1602
 
1.7%
112 1192
 
1.3%
104 848
 
0.9%
32 758
 
0.8%
96 662
 
0.7%
88 470
 
0.5%
Other values (9) 1364
 
1.4%
ValueCountFrequency (%)
0 78630
83.0%
8 3943
 
4.2%
12 1
 
< 0.1%
16 3300
 
3.5%
24 1949
 
2.1%
32 758
 
0.8%
40 370
 
0.4%
42.5 1
 
< 0.1%
48 188
 
0.2%
56 161
 
0.2%
ValueCountFrequency (%)
120 1602
1.7%
112 1192
1.3%
104 848
0.9%
96 662
0.7%
88 470
 
0.5%
80 307
 
0.3%
72 197
 
0.2%
68 1
 
< 0.1%
64 138
 
0.1%
56 161
 
0.2%

Digital Channel 4 (D18)
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.136737
Minimum0
Maximum176
Zeros77204
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size740.1 KiB
2025-05-12T21:57:53.272287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96
Maximum176
Range176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.700895
Coefficient of variation (CV)2.4471894
Kurtosis4.6272109
Mean12.136737
Median Absolute Deviation (MAD)0
Skewness2.4337984
Sum1149567.5
Variance882.14316
MonotonicityNot monotonic
2025-05-12T21:57:53.375920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 77204
81.5%
112 1373
 
1.4%
104 1348
 
1.4%
96 1331
 
1.4%
120 1291
 
1.4%
24 1234
 
1.3%
8 1191
 
1.3%
40 1147
 
1.2%
32 1143
 
1.2%
56 1123
 
1.2%
Other values (8) 6333
 
6.7%
ValueCountFrequency (%)
0 77204
81.5%
8 1191
 
1.3%
16 1077
 
1.1%
24 1234
 
1.3%
32 1143
 
1.2%
40 1147
 
1.2%
48 1078
 
1.1%
56 1123
 
1.2%
64 1007
 
1.1%
72 972
 
1.0%
ValueCountFrequency (%)
176 1
 
< 0.1%
120 1291
1.4%
112 1373
1.4%
104 1348
1.4%
96 1331
1.4%
95.5 1
 
< 0.1%
88 1122
1.2%
80 1075
1.1%
72 972
1.0%
64 1007
1.1%

Analog Channel 0
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size740.1 KiB
0.0
94718 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters284154
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 94718
100.0%

Length

2025-05-12T21:57:53.467523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-12T21:57:53.510966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 94718
100.0%

Most occurring characters

ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Analog Channel 1
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size740.1 KiB
0.0
94718 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters284154
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 94718
100.0%

Length

2025-05-12T21:57:53.571088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-12T21:57:53.612829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 94718
100.0%

Most occurring characters

ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Analog Channel 2
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size740.1 KiB
0.0
94718 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters284154
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 94718
100.0%

Length

2025-05-12T21:57:53.661047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-12T21:57:53.705150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 94718
100.0%

Most occurring characters

ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Timestamp
Date

Unique 

Distinct94718
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.1 KiB
Minimum2025-05-06 14:28:04.403143+02:00
Maximum2025-05-12 21:50:51.792097+02:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-12T21:57:53.782539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:53.876531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Marker Channel
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size740.1 KiB
0.0
94718 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters284154
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 94718
100.0%

Length

2025-05-12T21:57:53.961811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-12T21:57:54.002410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 94718
100.0%

Most occurring characters

ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 284154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 189436
66.7%
. 94718
33.3%

Movement
Categorical

High correlation 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size92.8 KiB
n
38085 
d
31977 
i
24656 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters94718
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rown
2nd rown
3rd rown
4th rown
5th rown

Common Values

ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Length

2025-05-12T21:57:54.051188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-12T21:57:54.094358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Most occurring characters

ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 94718
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 94718
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 94718
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 38085
40.2%
d 31977
33.8%
i 24656
26.0%

Interactions

2025-05-12T21:57:47.389558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:09.931681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.405266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.057965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.516192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:15.986084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.709066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.122733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:20.916486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.449455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:23.926924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:25.784376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.619139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.126687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:30.909201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.509298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.383268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:35.784918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.247262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.154443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.701513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.592393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.108534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.559643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.453784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:09.997647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.465572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.119519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.575580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.358241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.767305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.183001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:20.980409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.513612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:23.994200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:25.848711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.693411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.187043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:30.972624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.571216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.442769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:35.847048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.313403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.217545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.763869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.652871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.166167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.618147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.513050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:10.060512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.520499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.174742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.635177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.411011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.825654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.246018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:21.041653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.569855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:24.053313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:25.906565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.764488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.244699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:31.038193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.630132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.497127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:35.906175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.379672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.276400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.827641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.712585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.225719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.676974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.577083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:10.119513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.577574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.235339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.695790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.466639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.884881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.304399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:21.102926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.630619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:24.121042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:25.968795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.846030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.630218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:31.102983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.692718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.555837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:35.967128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.443476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.340797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.893551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.774597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.285400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.741070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.641980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:10.176787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.635163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.291281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.753450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.520896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.945662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.364221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:21.164103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.691516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:24.181606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:26.029938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.919195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.687051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:31.178529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.755316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.612474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:36.029503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.511972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.403921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.960911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.836658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.343365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.804073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.704583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:10.233594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.687546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:13.348151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.810412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.577221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:17.998982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.421988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:21.222196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.752410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:24.243225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:26.086058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.976496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.745209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:31.241264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.815480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.666381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:41.083415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:13.465157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:14.926290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:16.693899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:18.109839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:19.538288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:21.350100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:22.872723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:24.369698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:28.098309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.863415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:31.376168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:40.366962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:47.148350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:48.746145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:11.222751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:12.881943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:29.003429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:30.785921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.374297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.253349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-12T21:57:23.861937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:25.718817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:27.535881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:29.061420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:30.845559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:32.440575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:34.319489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:35.725329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:37.181210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:39.088287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:40.628951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:42.529408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:44.042152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:45.498354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-12T21:57:47.324084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-12T21:57:54.166760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Accel Channel 0Accel Channel 1Accel Channel 2Digital Channel 0 (D11)Digital Channel 1 (D12)Digital Channel 2 (D13)Digital Channel 3 (D17)Digital Channel 4 (D18)EXG Channel 0EXG Channel 1EXG Channel 10EXG Channel 11EXG Channel 12EXG Channel 13EXG Channel 14EXG Channel 15EXG Channel 2EXG Channel 3EXG Channel 4EXG Channel 5EXG Channel 6EXG Channel 7EXG Channel 8EXG Channel 9Movement
Accel Channel 01.000-0.003-0.058-0.1070.002-0.0020.0080.0030.0710.2580.0210.2050.114-0.1830.1520.0930.2510.4640.2290.0340.316-0.0180.1720.2760.367
Accel Channel 1-0.0031.000-0.659-0.0270.0020.0370.008-0.002-0.2680.142-0.3950.0880.511-0.2350.0780.359-0.0640.278-0.0420.0040.051-0.0080.1040.1450.015
Accel Channel 2-0.058-0.6591.0000.028-0.002-0.0310.0260.0000.328-0.0040.437-0.076-0.5820.529-0.099-0.3530.236-0.568-0.0370.1920.0500.2060.088-0.2420.211
Digital Channel 0 (D11)-0.107-0.0270.0281.0000.7850.8080.7510.780-0.016-0.0540.001-0.035-0.0230.012-0.038-0.029-0.055-0.074-0.043-0.011-0.069-0.018-0.051-0.0510.093
Digital Channel 1 (D12)0.0020.002-0.0020.7851.0000.9410.8550.8960.0030.0020.000-0.006-0.004-0.002-0.003-0.0090.001-0.001-0.0040.003-0.004-0.007-0.003-0.0020.037
Digital Channel 2 (D13)-0.0020.037-0.0310.8080.9411.0000.8800.945-0.0110.006-0.0150.0060.022-0.0090.0080.018-0.0040.0140.002-0.0010.0050.0030.0050.0100.000
Digital Channel 3 (D17)0.0080.0080.0260.7510.8550.8801.0000.859-0.000-0.003-0.005-0.012-0.0090.003-0.028-0.0210.007-0.016-0.0200.008-0.016-0.019-0.002-0.0230.047
Digital Channel 4 (D18)0.003-0.0020.0000.7800.8960.9450.8591.000-0.005-0.001-0.0020.0000.0010.005-0.001-0.0020.001-0.001-0.0010.0030.0000.0020.000-0.0020.023
EXG Channel 00.071-0.2680.328-0.0160.003-0.011-0.000-0.0051.0000.4590.8440.203-0.738-0.0710.5840.0050.4480.2690.640-0.0340.5670.3550.3850.5610.324
EXG Channel 10.2580.142-0.004-0.0540.0020.006-0.003-0.0010.4591.0000.1890.6780.018-0.2210.484-0.0430.8810.4050.4060.5820.6290.4320.9270.5930.309
EXG Channel 100.021-0.3950.4370.0010.000-0.015-0.005-0.0020.8440.1891.0000.210-0.8640.2270.632-0.1610.2880.1200.741-0.0870.5570.4110.1480.5510.316
EXG Channel 110.2050.088-0.076-0.035-0.0060.006-0.0120.0000.2030.6780.2101.0000.089-0.1260.599-0.0860.5620.4120.5060.6000.5060.5750.7310.6710.285
EXG Channel 120.1140.511-0.582-0.023-0.0040.022-0.0090.001-0.7380.018-0.8640.0891.000-0.366-0.2920.407-0.2070.093-0.4200.063-0.275-0.1700.019-0.2140.422
EXG Channel 13-0.183-0.2350.5290.012-0.002-0.0090.0030.005-0.071-0.2210.227-0.126-0.3661.0000.066-0.2330.104-0.5190.0060.2790.2030.400-0.042-0.1670.294
EXG Channel 140.1520.078-0.099-0.038-0.0030.008-0.028-0.0010.5840.4840.6320.599-0.2920.0661.0000.2160.4290.5400.9290.0650.8650.7870.4590.9240.324
EXG Channel 150.0930.359-0.353-0.029-0.0090.018-0.021-0.0020.005-0.043-0.161-0.0860.407-0.2330.2161.000-0.3240.2320.102-0.4490.2040.247-0.0180.0840.415
EXG Channel 20.251-0.0640.236-0.0550.001-0.0040.0070.0010.4480.8810.2880.562-0.2070.1040.429-0.3241.0000.2680.4190.6600.6720.4480.8650.5060.380
EXG Channel 30.4640.278-0.568-0.074-0.0010.014-0.016-0.0010.2690.4050.1200.4120.093-0.5190.5400.2320.2681.0000.597-0.1000.5090.1440.2880.7210.487
EXG Channel 40.229-0.042-0.037-0.043-0.0040.002-0.020-0.0010.6400.4060.7410.506-0.4200.0060.9290.1020.4190.5971.000-0.0800.8520.6360.3400.9150.436
EXG Channel 50.0340.0040.192-0.0110.003-0.0010.0080.003-0.0340.582-0.0870.6000.0630.2790.065-0.4490.660-0.100-0.0801.0000.1720.2770.7120.1100.525
EXG Channel 60.3160.0510.050-0.069-0.0040.005-0.0160.0000.5670.6290.5570.506-0.2750.2030.8650.2040.6720.5090.8520.1721.0000.7700.6110.8100.282
EXG Channel 7-0.018-0.0080.206-0.018-0.0070.003-0.0190.0020.3550.4320.4110.575-0.1700.4000.7870.2470.4480.1440.6360.2770.7701.0000.5510.5940.308
EXG Channel 80.1720.1040.088-0.051-0.0030.005-0.0020.0000.3850.9270.1480.7310.019-0.0420.459-0.0180.8650.2880.3400.7120.6110.5511.0000.4990.364
EXG Channel 90.2760.145-0.242-0.051-0.0020.010-0.023-0.0020.5610.5930.5510.671-0.214-0.1670.9240.0840.5060.7210.9150.1100.8100.5940.4991.0000.459
Movement0.3670.0150.2110.0930.0370.0000.0470.0230.3240.3090.3160.2850.4220.2940.3240.4150.3800.4870.4360.5250.2820.3080.3640.4591.000

Sample

EXG Channel 0EXG Channel 1EXG Channel 2EXG Channel 3EXG Channel 4EXG Channel 5EXG Channel 6EXG Channel 7EXG Channel 8EXG Channel 9EXG Channel 10EXG Channel 11EXG Channel 12EXG Channel 13EXG Channel 14EXG Channel 15Accel Channel 0Accel Channel 1Accel Channel 2Digital Channel 0 (D11)Digital Channel 1 (D12)Digital Channel 2 (D13)Digital Channel 3 (D17)Digital Channel 4 (D18)Analog Channel 0Analog Channel 1Analog Channel 2TimestampMarker ChannelMovement
033766.892107-41911.644269-46735.240130-40596.400570-32411.03528914226.058331-61541.661506-23287.880217-3118.493035-24843.6510383935.6728121701.660657-12489.3054352777.740690-31285.826121-49031.233672-0.0040.9900.2980.00.00.00.00.00.00.00.02025-05-06 14:28:04.403143167+02:000.0n
133020.097973-41544.628625-46430.563501-40228.490857-32686.54289112727.306810-61162.441809-22936.510794-2999.090016-24543.0424261541.5774631957.968111-12571.8057241694.329285-31031.910304-48916.636278-0.0040.9840.294127.5112.015.096.024.00.00.00.02025-05-06 14:28:04.410123110+02:000.0n
233842.016320-41917.455723-46596.793425-40651.475269-31832.59449413912.485708-61557.486541-23310.343720-2887.688921-24619.8877243065.6088071920.551291-12279.333148735.193579-31044.919019-48826.737562-0.0040.9840.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.417153597+02:000.0n
333252.310247-41683.097682-46616.172387-40341.769498-32931.54036213484.092174-61300.687349-23109.803869-3180.720291-24798.3217002978.8393351709.461416-12658.1952163368.653759-31290.542339-49110.470606-0.0040.9840.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.423131943+02:000.0n
433363.599582-41659.740109-46386.776434-40401.202786-32051.01574112919.151833-61318.300524-23095.789325-2807.222641-24413.1117361585.9456762091.318618-12337.22416649.956149-30909.422744-48780.715320-0.0040.9840.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.430165529+02:000.0n
533736.001997-41894.746351-46711.279060-40588.666867-32414.14218114124.268487-61545.953041-23342.396121-3105.529023-24824.6520553884.5990761711.070742-12468.3618512594.523441-31297.829008-49052.847809-0.0040.9840.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.437159061+02:000.0n
633003.915310-41522.165122-46404.344905-40216.510322-32710.03457412661.525626-61175.338766-22965.121027-2994.463205-24520.4224611558.4977341966.573532-12559.2887471564.398594-31062.666304-48945.827656-0.0060.9880.294127.5104.015.0112.024.00.00.00.02025-05-06 14:28:04.445209503+02:000.0n
733832.807402-41896.087455-46580.722520-40643.741565-31847.90543913859.936757-61571.881064-23318.792679-2882.413910-24586.9636043064.8264961938.387983-12278.304968579.893658-31066.376694-48842.272024-0.0060.9880.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.452203512+02:000.0n
833261.675627-41681.756578-46626.945928-40347.402137-32932.07680413490.216552-61320.066311-23108.060432-3182.083748-24790.8562173024.5933561714.937593-12669.6393103261.208923-31300.645328-49113.689257-0.0060.9880.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.480318308+02:000.0n
933380.072818-41665.126880-46405.060161-40404.063809-32042.29856012965.822275-61337.970059-23082.378278-2809.211947-24409.9824921601.2342692092.927944-12350.4340476.303192-30917.961111-48760.218771-0.0060.9880.2940.00.00.00.00.00.00.00.02025-05-06 14:28:04.487283707+02:000.0n
EXG Channel 0EXG Channel 1EXG Channel 2EXG Channel 3EXG Channel 4EXG Channel 5EXG Channel 6EXG Channel 7EXG Channel 8EXG Channel 9EXG Channel 10EXG Channel 11EXG Channel 12EXG Channel 13EXG Channel 14EXG Channel 15Accel Channel 0Accel Channel 1Accel Channel 2Digital Channel 0 (D11)Digital Channel 1 (D12)Digital Channel 2 (D13)Digital Channel 3 (D17)Digital Channel 4 (D18)Analog Channel 0Analog Channel 1Analog Channel 2TimestampMarker ChannelMovement
9470869577.2701003998.905897-16923.600963-19136.088387-6237.85778725298.754907-7931.2482997033.08815219146.1913763791.41465317804.88554338002.480626-2931.6771557002.57802039152.611989-4385.1440410.0481.0280.1060.00.00.00.00.00.00.00.02025-05-12 21:50:51.720950365+02:000.0i
9470970663.0060873962.629016-16903.752614-19163.156350-5969.56979925486.308394-7922.3970087024.68389619124.4654803849.52918918439.04923738078.588316-2806.3509237065.78875439524.857941-4051.2983860.0481.0280.1060.00.00.00.00.00.00.00.02025-05-12 21:50:51.728957653+02:000.0i
9471069229.7004744008.807720-17020.942810-19118.050530-6586.70146325199.535513-8020.5211666979.71218619108.1710593767.87826617916.24193437978.743074-2978.8169846986.97650339280.531023-4256.2415310.0361.0280.1020.516.016.016.024.00.00.00.02025-05-12 21:50:51.735953569+02:000.0i
9471170342.5267753980.823336-16852.500063-19161.703487-5863.42136425471.913871-7861.1308777062.57010319148.5830133840.36497418103.99658738049.016958-2847.2769677035.36803039258.223982-4295.8711740.0361.0280.1020.00.00.00.00.00.00.00.02025-05-12 21:50:51.744971275+02:000.0i
9471270036.4196343990.814566-17003.687263-19151.019353-6392.12952825351.259154-8011.9604486971.82202019114.7871753815.37572318347.20591938028.207484-2888.0465497023.90158539534.983281-4037.0379730.0361.0280.1020.00.00.00.00.00.00.00.02025-05-12 21:50:51.753017187+02:000.0i
9471369577.0018793994.904935-16937.816672-19153.232175-6272.68180525310.042537-7939.7866657034.45160819149.9241173786.51962117816.84372637971.836385-2939.9920036977.20879039162.469108-4385.7922420.0361.0280.1020.00.00.00.00.00.00.00.02025-05-12 21:50:51.760009289+02:000.0i
9471470717.4325843966.115888-16910.793413-19183.474086-5974.62129325513.309302-7920.8994417028.97543119132.2215363836.96750818454.51664438049.799269-2812.8329297043.77228539538.716023-4068.2633600.0361.0280.1020.00.00.00.00.00.00.00.02025-05-12 21:50:51.769039154+02:000.0i
9471569403.5299904006.058455-17016.785385-19136.624829-6562.69569025232.280818-8013.8603477005.70726519121.8503263769.12996417966.33219337971.858736-2966.7470426985.34482539342.870038-4239.5671300.0301.0280.1040.0120.016.016.032.00.00.00.02025-05-12 21:50:51.777048826+02:000.0i
9471670448.8093203968.686339-16857.193930-19175.382754-5860.20271325505.061508-7855.2076647097.50587919151.9357743834.10648518114.07722438033.460144-2846.1817327033.87046339305.922604-4283.6671210.0301.0280.1040.00.00.00.00.00.00.00.02025-05-12 21:50:51.784101963+02:000.0i
9471770150.1676623983.907876-17003.597856-19154.349763-6366.13444925364.089056-8002.1703846993.14558419109.5121633809.60897318341.79679738015.288176-2884.7161397031.43412239563.571163-4033.1934730.0301.0280.1040.00.00.00.00.00.00.00.02025-05-12 21:50:51.792097092+02:000.0i