Overview

Dataset statistics

Number of variables35
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 MiB
Average record size in memory316.0 B

Variable types

Categorical12
Numeric21
Text2

Dataset

Description제로셔틀차량 GPS/INS 데이터 정보 조회
Author차세대융합기술연구원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=B98H4QAUTNAZR0QB5RCG31924762&infSeq=1

Alerts

수집일시 has constant value ""Constant
수집순번 has constant value ""Constant
원천내용 has constant value ""Constant
GPS서비스구분코드 has constant value ""Constant
나선각도X좌표 has constant value ""Constant
나선각도Y좌표 has constant value ""Constant
나선각도Z좌표 has constant value ""Constant
각속도공분산내용 has constant value ""Constant
선형가속도공분산내용 has constant value ""Constant
GPS상태코드 is highly imbalanced (75.2%)Imbalance
위치공분산유형코드 is highly imbalanced (92.3%)Imbalance
공분산내용 is highly imbalanced (97.7%)Imbalance
순번 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
X축방향 has unique valuesUnique
Y축방향 has unique valuesUnique
Z축방향 has unique valuesUnique
W축방향 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:22:47.055072
Analysis finished2024-04-19 05:22:47.734387
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수집일시
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-11-11-14-16-08
10000 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-11-14-16-08
2nd row2021-11-11-14-16-08
3rd row2021-11-11-14-16-08
4th row2021-11-11-14-16-08
5th row2021-11-11-14-16-08

Common Values

ValueCountFrequency (%)
2021-11-11-14-16-08 10000
100.0%

Length

2024-04-19T14:22:47.789146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:47.875718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-11-14-16-08 10000
100.0%

수집순번
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-19T14:22:47.964370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:48.050428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10160.951
Minimum3160
Maximum17623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:48.165289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3160
5-th percentile3846.95
Q16671.75
median10185.5
Q313642.25
95-th percentile16423.05
Maximum17623
Range14463
Interquartile range (IQR)6970.5

Descriptive statistics

Standard deviation4032.0679
Coefficient of variation (CV)0.39681993
Kurtosis-1.1930312
Mean10160.951
Median Absolute Deviation (MAD)3490
Skewness-0.0059608447
Sum1.0160951 × 108
Variance16257572
MonotonicityNot monotonic
2024-04-19T14:22:48.297553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10394 1
 
< 0.1%
14320 1
 
< 0.1%
5368 1
 
< 0.1%
9126 1
 
< 0.1%
10191 1
 
< 0.1%
7042 1
 
< 0.1%
13220 1
 
< 0.1%
11067 1
 
< 0.1%
4298 1
 
< 0.1%
16321 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3160 1
< 0.1%
3161 1
< 0.1%
3162 1
< 0.1%
3163 1
< 0.1%
3164 1
< 0.1%
3165 1
< 0.1%
3168 1
< 0.1%
3169 1
< 0.1%
3170 1
< 0.1%
3171 1
< 0.1%
ValueCountFrequency (%)
17623 1
< 0.1%
17621 1
< 0.1%
17620 1
< 0.1%
17599 1
< 0.1%
17597 1
< 0.1%
17596 1
< 0.1%
17595 1
< 0.1%
17594 1
< 0.1%
17593 1
< 0.1%
17592 1
< 0.1%

초수
Real number (ℝ)

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6366078 × 109
Minimum1.6366078 × 109
Maximum1.6366079 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:48.429048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6366078 × 109
5-th percentile1.6366078 × 109
Q11.6366078 × 109
median1.6366078 × 109
Q31.6366079 × 109
95-th percentile1.6366079 × 109
Maximum1.6366079 × 109
Range145
Interquartile range (IQR)70

Descriptive statistics

Standard deviation40.321055
Coefficient of variation (CV)2.4636968 × 10-8
Kurtosis-1.1931174
Mean1.6366078 × 109
Median Absolute Deviation (MAD)35
Skewness-0.0059371435
Sum1.6366078 × 1013
Variance1625.7875
MonotonicityNot monotonic
2024-04-19T14:22:48.573402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1636607804 81
 
0.8%
1636607833 80
 
0.8%
1636607862 80
 
0.8%
1636607817 79
 
0.8%
1636607906 78
 
0.8%
1636607872 78
 
0.8%
1636607874 78
 
0.8%
1636607885 78
 
0.8%
1636607878 77
 
0.8%
1636607824 77
 
0.8%
Other values (134) 9214
92.1%
ValueCountFrequency (%)
1636607768 47
0.5%
1636607769 77
0.8%
1636607770 73
0.7%
1636607771 64
0.6%
1636607772 70
0.7%
1636607773 74
0.7%
1636607774 72
0.7%
1636607775 76
0.8%
1636607776 69
0.7%
1636607777 60
0.6%
ValueCountFrequency (%)
1636607913 3
 
< 0.1%
1636607912 16
 
0.2%
1636607910 14
 
0.1%
1636607909 14
 
0.1%
1636607907 35
0.4%
1636607906 78
0.8%
1636607905 63
0.6%
1636607904 70
0.7%
1636607903 69
0.7%
1636607902 72
0.7%

나노초수
Real number (ℝ)

Distinct1402
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.308572 × 108
Minimum80017335
Maximum9.8144928 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:48.718913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80017335
5-th percentile80717378
Q12.8061314 × 108
median5.800487 × 108
Q37.8065029 × 108
95-th percentile9.8064808 × 108
Maximum9.8144928 × 108
Range9.0143195 × 108
Interquartile range (IQR)5.0003715 × 108

Descriptive statistics

Standard deviation2.8723029 × 108
Coefficient of variation (CV)0.54106883
Kurtosis-1.2284185
Mean5.308572 × 108
Median Absolute Deviation (MAD)2.9881816 × 108
Skewness-0.0036578352
Sum5.308572 × 1012
Variance8.2501237 × 1016
MonotonicityNot monotonic
2024-04-19T14:22:49.060431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
281080369 10
 
0.1%
381102705 10
 
0.1%
781127079 10
 
0.1%
580722221 10
 
0.1%
280308523 10
 
0.1%
280402172 10
 
0.1%
580976427 10
 
0.1%
180750303 10
 
0.1%
980452385 10
 
0.1%
380256193 10
 
0.1%
Other values (1392) 9900
99.0%
ValueCountFrequency (%)
80017335 6
0.1%
80021539 7
0.1%
80047260 7
0.1%
80068242 9
0.1%
80104995 8
0.1%
80123800 6
0.1%
80124769 9
0.1%
80131815 4
< 0.1%
80132709 7
0.1%
80160900 7
0.1%
ValueCountFrequency (%)
981449283 8
0.1%
981375512 4
< 0.1%
981323505 8
0.1%
981289369 6
0.1%
981249132 8
0.1%
981223452 7
0.1%
981222957 7
0.1%
981180408 5
0.1%
981171910 9
0.1%
981170912 8
0.1%

INS초수
Real number (ℝ)

Distinct146
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6366077 × 109
Minimum1.6366076 × 109
Maximum1.6366077 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:49.199291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6366076 × 109
5-th percentile1.6366076 × 109
Q11.6366076 × 109
median1.6366077 × 109
Q31.6366077 × 109
95-th percentile1.6366077 × 109
Maximum1.6366077 × 109
Range145
Interquartile range (IQR)70

Descriptive statistics

Standard deviation40.324876
Coefficient of variation (CV)2.4639305 × 10-8
Kurtosis-1.1928401
Mean1.6366077 × 109
Median Absolute Deviation (MAD)35
Skewness-0.0058293117
Sum1.6366077 × 1013
Variance1626.0956
MonotonicityNot monotonic
2024-04-19T14:22:49.351339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1636607695 81
 
0.8%
1636607689 80
 
0.8%
1636607592 80
 
0.8%
1636607685 80
 
0.8%
1636607674 80
 
0.8%
1636607723 79
 
0.8%
1636607697 79
 
0.8%
1636607679 78
 
0.8%
1636607691 78
 
0.8%
1636607716 78
 
0.8%
Other values (136) 9207
92.1%
ValueCountFrequency (%)
1636607585 30
 
0.3%
1636607586 78
0.8%
1636607587 75
0.8%
1636607588 66
0.7%
1636607589 69
0.7%
1636607590 72
0.7%
1636607591 71
0.7%
1636607592 80
0.8%
1636607593 69
0.7%
1636607594 56
0.6%
ValueCountFrequency (%)
1636607730 3
 
< 0.1%
1636607729 16
 
0.2%
1636607728 11
 
0.1%
1636607727 3
 
< 0.1%
1636607726 14
 
0.1%
1636607725 7
 
0.1%
1636607724 41
0.4%
1636607723 79
0.8%
1636607722 66
0.7%
1636607721 67
0.7%

INS나노초수
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6029999 × 108
Minimum9999990
Maximum9.1000009 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:49.473088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9999990
5-th percentile9999990
Q12.1000004 × 108
median4.1000009 × 108
Q37.1000004 × 108
95-th percentile9.1000009 × 108
Maximum9.1000009 × 108
Range9.000001 × 108
Interquartile range (IQR)5 × 108

Descriptive statistics

Standard deviation2.8776414 × 108
Coefficient of variation (CV)0.62516651
Kurtosis-1.2269413
Mean4.6029999 × 108
Median Absolute Deviation (MAD)2.9999995 × 108
Skewness-0.0002001718
Sum4.6029999 × 1012
Variance8.2808201 × 1016
MonotonicityNot monotonic
2024-04-19T14:22:49.580262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
710000038 1021
10.2%
910000086 1013
10.1%
309999943 1013
10.1%
410000086 1011
10.1%
9999990 1010
10.1%
210000038 993
9.9%
809999943 991
9.9%
109999895 989
9.9%
609999895 985
9.8%
509999990 974
9.7%
ValueCountFrequency (%)
9999990 1010
10.1%
109999895 989
9.9%
210000038 993
9.9%
309999943 1013
10.1%
410000086 1011
10.1%
509999990 974
9.7%
609999895 985
9.8%
710000038 1021
10.2%
809999943 991
9.9%
910000086 1013
10.1%
ValueCountFrequency (%)
910000086 1013
10.1%
809999943 991
9.9%
710000038 1021
10.2%
609999895 985
9.8%
509999990 974
9.7%
410000086 1011
10.1%
309999943 1013
10.1%
210000038 993
9.9%
109999895 989
9.9%
9999990 1010
10.1%

원천내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ins
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ins 10000
100.0%

Length

2024-04-19T14:22:49.686939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:49.776400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ins 10000
100.0%

GPS상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4
9313 
1
 
617
2
 
70

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row1

Common Values

ValueCountFrequency (%)
4 9313
93.1%
1 617
 
6.2%
2 70
 
0.7%

Length

2024-04-19T14:22:49.869925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:49.968651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 9313
93.1%
1 617
 
6.2%
2 70
 
0.7%

GPS서비스구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-04-19T14:22:50.075737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:50.165945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.409963
Minimum37.406827
Maximum37.410949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:50.302625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.406827
5-th percentile37.407474
Q137.408998
median37.410811
Q337.410948
95-th percentile37.410948
Maximum37.410949
Range0.0041212042
Interquartile range (IQR)0.0019505605

Descriptive statistics

Standard deviation0.0012443269
Coefficient of variation (CV)3.3261913 × 10-5
Kurtosis-0.63213834
Mean37.409963
Median Absolute Deviation (MAD)0.00013790336
Skewness-0.90909754
Sum374099.63
Variance1.5483495 × 10-6
MonotonicityNot monotonic
2024-04-19T14:22:50.457274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.41069951992537 1
 
< 0.1%
37.40863747637303 1
 
< 0.1%
37.41094837434757 1
 
< 0.1%
37.41094832854618 1
 
< 0.1%
37.41080783549736 1
 
< 0.1%
37.41094837038777 1
 
< 0.1%
37.409222856575326 1
 
< 0.1%
37.410366611392966 1
 
< 0.1%
37.410948199336616 1
 
< 0.1%
37.40753051491945 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
37.406827369519405 1
< 0.1%
37.40682842586838 1
< 0.1%
37.40682894025257 1
< 0.1%
37.4068400001029 1
< 0.1%
37.40684106642389 1
< 0.1%
37.4068415831427 1
< 0.1%
37.40684213385955 1
< 0.1%
37.40684265139419 1
< 0.1%
37.40684316820813 1
< 0.1%
37.406843720722414 1
< 0.1%
ValueCountFrequency (%)
37.41094857374185 1
< 0.1%
37.410948573026985 1
< 0.1%
37.410948572497226 1
< 0.1%
37.4109485718058 1
< 0.1%
37.4109485717578 1
< 0.1%
37.410948571313845 1
< 0.1%
37.41094857131079 1
< 0.1%
37.410948571116485 1
< 0.1%
37.41094857096589 1
< 0.1%
37.41094857091311 1
< 0.1%

경도
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.09951
Minimum127.09928
Maximum127.10058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:50.600003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.09928
5-th percentile127.09929
Q1127.0993
median127.0993
Q3127.09966
95-th percentile127.10025
Maximum127.10058
Range0.0012976681
Interquartile range (IQR)0.00036045809

Descriptive statistics

Standard deviation0.00032851071
Coefficient of variation (CV)2.5846733 × 10-6
Kurtosis0.50554544
Mean127.09951
Median Absolute Deviation (MAD)3.6881953 × 10-6
Skewness1.374905
Sum1270995.1
Variance1.0791929 × 10-7
MonotonicityNot monotonic
2024-04-19T14:22:50.745085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.09928388288226 1
 
< 0.1%
127.09980684284238 1
 
< 0.1%
127.09929745387228 1
 
< 0.1%
127.0992974796108 1
 
< 0.1%
127.09928741567973 1
 
< 0.1%
127.09929754686328 1
 
< 0.1%
127.09957503250342 1
 
< 0.1%
127.0993063129524 1
 
< 0.1%
127.09929758898186 1
 
< 0.1%
127.10022337961212 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
127.09928387133452 1
< 0.1%
127.09928387347831 1
< 0.1%
127.09928387532982 1
< 0.1%
127.09928387588592 1
< 0.1%
127.09928387727888 1
< 0.1%
127.0992838797212 1
< 0.1%
127.09928388001816 1
< 0.1%
127.09928388273956 1
< 0.1%
127.0992838828547 1
< 0.1%
127.09928388288226 1
< 0.1%
ValueCountFrequency (%)
127.10058153941505 1
< 0.1%
127.10058075521611 1
< 0.1%
127.10058037611849 1
< 0.1%
127.10057228138812 1
< 0.1%
127.10057148160884 1
< 0.1%
127.10057110847085 1
< 0.1%
127.10057067965832 1
< 0.1%
127.10057030837702 1
< 0.1%
127.10056993607212 1
< 0.1%
127.10056950521805 1
< 0.1%

고도
Real number (ℝ)

Distinct8388
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.703504
Minimum48.795418
Maximum59.745262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:50.894968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.795418
5-th percentile50.747054
Q157.398136
median59.291222
Q359.303013
95-th percentile59.668079
Maximum59.745262
Range10.949844
Interquartile range (IQR)1.9048767

Descriptive statistics

Standard deviation2.9095488
Coefficient of variation (CV)0.050422394
Kurtosis0.98856092
Mean57.703504
Median Absolute Deviation (MAD)0.05078125
Skewness-1.5765172
Sum577035.04
Variance8.4654742
MonotonicityNot monotonic
2024-04-19T14:22:51.028883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.29885482788086 7
 
0.1%
59.29834747314453 7
 
0.1%
59.297813415527344 7
 
0.1%
59.29886245727539 7
 
0.1%
59.28424072265625 6
 
0.1%
59.289058685302734 6
 
0.1%
59.28909683227539 6
 
0.1%
59.29840087890625 6
 
0.1%
59.29703140258789 6
 
0.1%
59.29705047607422 6
 
0.1%
Other values (8378) 9936
99.4%
ValueCountFrequency (%)
48.79541778564453 1
< 0.1%
48.79830551147461 1
< 0.1%
48.79939651489258 1
< 0.1%
48.82436752319336 1
< 0.1%
48.82553482055664 1
< 0.1%
48.82583618164063 1
< 0.1%
48.826995849609375 1
< 0.1%
48.82809448242188 1
< 0.1%
48.82818984985352 1
< 0.1%
48.8282470703125 1
< 0.1%
ValueCountFrequency (%)
59.745262145996094 1
< 0.1%
59.745243072509766 1
< 0.1%
59.74521255493164 1
< 0.1%
59.74520492553711 1
< 0.1%
59.74520111083984 1
< 0.1%
59.74518966674805 1
< 0.1%
59.74517822265625 1
< 0.1%
59.745147705078125 1
< 0.1%
59.7451400756836 2
< 0.1%
59.7451286315918 1
< 0.1%

위치공분산내용
Text

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-19T14:22:51.167056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length45
Mean length45.321
Min length45

Characters and Unicode

Total characters453210
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)0.4%

Sample

1st row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2nd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3rd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
4th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
5th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
ValueCountFrequency (%)
0.0 89715
99.7%
0.0025 54
 
0.1%
0.0024010000000000004 51
 
0.1%
0.0018490000000000002 34
 
< 0.1%
0.001936 20
 
< 0.1%
0.0023040000000000005 19
 
< 0.1%
0.0027040000000000002 15
 
< 0.1%
0.002601 9
 
< 0.1%
0.003249 6
 
< 0.1%
0.002809 6
 
< 0.1%
Other values (46) 71
 
0.1%
2024-04-19T14:22:51.455681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182111
40.2%
. 90000
19.9%
, 80000
17.7%
80000
17.7%
[ 10000
 
2.2%
] 10000
 
2.2%
2 256
 
0.1%
4 215
 
< 0.1%
1 158
 
< 0.1%
9 122
 
< 0.1%
Other values (5) 348
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183210
40.4%
Other Punctuation 170000
37.5%
Space Separator 80000
17.7%
Open Punctuation 10000
 
2.2%
Close Punctuation 10000
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182111
99.4%
2 256
 
0.1%
4 215
 
0.1%
1 158
 
0.1%
9 122
 
0.1%
5 103
 
0.1%
3 88
 
< 0.1%
6 76
 
< 0.1%
8 56
 
< 0.1%
7 25
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 90000
52.9%
, 80000
47.1%
Space Separator
ValueCountFrequency (%)
80000
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 10000
100.0%
Close Punctuation
ValueCountFrequency (%)
] 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 453210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182111
40.2%
. 90000
19.9%
, 80000
17.7%
80000
17.7%
[ 10000
 
2.2%
] 10000
 
2.2%
2 256
 
0.1%
4 215
 
< 0.1%
1 158
 
< 0.1%
9 122
 
< 0.1%
Other values (5) 348
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 453210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182111
40.2%
. 90000
19.9%
, 80000
17.7%
80000
17.7%
[ 10000
 
2.2%
] 10000
 
2.2%
2 256
 
0.1%
4 215
 
< 0.1%
1 158
 
< 0.1%
9 122
 
< 0.1%
Other values (5) 348
 
0.1%

위치공분산유형코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9905 
3
 
95

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9905
99.1%
3 95
 
0.9%

Length

2024-04-19T14:22:51.583158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:51.671855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9905
99.1%
3 95
 
0.9%

나선선형X좌표
Real number (ℝ)

Distinct4352
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71346568
Minimum-0.29170001
Maximum3.358
Zeros48
Zeros (%)0.5%
Negative3012
Negative (%)30.1%
Memory size166.0 KiB
2024-04-19T14:22:51.787019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.29170001
5-th percentile-0.02074
Q1-0.0019
median0.0065
Q31.71855
95-th percentile1.976205
Maximum3.358
Range3.6497
Interquartile range (IQR)1.72045

Descriptive statistics

Standard deviation0.8667832
Coefficient of variation (CV)1.2148912
Kurtosis-1.3584543
Mean0.71346568
Median Absolute Deviation (MAD)0.17614999
Skewness0.56649619
Sum7134.6568
Variance0.75131311
MonotonicityNot monotonic
2024-04-19T14:22:51.938193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0055 57
 
0.6%
0.0053 55
 
0.5%
0.0005 53
 
0.5%
0.0054 52
 
0.5%
0.0052 49
 
0.5%
0.0 48
 
0.5%
0.0057 47
 
0.5%
0.0051 43
 
0.4%
0.0002 42
 
0.4%
-0.0086 41
 
0.4%
Other values (4342) 9513
95.1%
ValueCountFrequency (%)
-0.291700006 1
< 0.1%
-0.291599989 1
< 0.1%
-0.291099995 1
< 0.1%
-0.290300012 1
< 0.1%
-0.289900005 1
< 0.1%
-0.289799988 1
< 0.1%
-0.289700001 2
< 0.1%
-0.289200008 1
< 0.1%
-0.288899988 1
< 0.1%
-0.288500011 1
< 0.1%
ValueCountFrequency (%)
3.35800004 1
< 0.1%
3.354099989 1
< 0.1%
3.351900101 1
< 0.1%
3.30430007 1
< 0.1%
3.299900055 1
< 0.1%
3.296200037 1
< 0.1%
3.294399977 1
< 0.1%
3.293900013 1
< 0.1%
3.291599989 1
< 0.1%
3.288700104 1
< 0.1%

나선선형Y좌표
Real number (ℝ)

Distinct3647
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0820138
Minimum-6.2953
Maximum0.0135
Zeros22
Zeros (%)0.2%
Negative8700
Negative (%)87.0%
Memory size166.0 KiB
2024-04-19T14:22:52.070139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.2953
5-th percentile-6.1726048
Q1-5.9438
median-5.4059999
Q3-0.0038
95-th percentile0.0034
Maximum0.0135
Range6.3088
Interquartile range (IQR)5.94

Descriptive statistics

Standard deviation2.9346545
Coefficient of variation (CV)-0.95218733
Kurtosis-1.9647555
Mean-3.0820138
Median Absolute Deviation (MAD)0.86975026
Skewness0.062588911
Sum-30820.138
Variance8.6121968
MonotonicityNot monotonic
2024-04-19T14:22:52.204379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0023 64
 
0.6%
-0.0049 52
 
0.5%
-0.0048 49
 
0.5%
0.0017 48
 
0.5%
0.0019 47
 
0.5%
-0.0027 46
 
0.5%
-0.0035 46
 
0.5%
-0.0026 45
 
0.4%
0.001 44
 
0.4%
0.0018 42
 
0.4%
Other values (3637) 9517
95.2%
ValueCountFrequency (%)
-6.295300007 1
< 0.1%
-6.294199944 1
< 0.1%
-6.294099808 1
< 0.1%
-6.293799877 1
< 0.1%
-6.29309988 1
< 0.1%
-6.293000221 1
< 0.1%
-6.292900085 1
< 0.1%
-6.292699814 1
< 0.1%
-6.292300224 1
< 0.1%
-6.291999817 1
< 0.1%
ValueCountFrequency (%)
0.0135 3
 
< 0.1%
0.0134 2
 
< 0.1%
0.0133 5
 
0.1%
0.0132 11
0.1%
0.0131 21
0.2%
0.013 6
 
0.1%
0.0129 9
0.1%
0.0128 14
0.1%
0.0127 11
0.1%
0.0126 9
0.1%

나선선형Z좌표
Real number (ℝ)

Distinct2946
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07065341
Minimum-0.3628
Maximum0.1885
Zeros9
Zeros (%)0.1%
Negative8939
Negative (%)89.4%
Memory size166.0 KiB
2024-04-19T14:22:52.367618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3628
5-th percentile-0.2811
Q1-0.146125
median-0.0047
Q3-0.0022
95-th percentile0.026
Maximum0.1885
Range0.5513
Interquartile range (IQR)0.143925

Descriptive statistics

Standard deviation0.10347588
Coefficient of variation (CV)-1.4645561
Kurtosis-0.29803095
Mean-0.07065341
Median Absolute Deviation (MAD)0.0138
Skewness-0.89055514
Sum-706.5341
Variance0.010707259
MonotonicityNot monotonic
2024-04-19T14:22:52.502323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0028 161
 
1.6%
-0.0024 148
 
1.5%
-0.0025 146
 
1.5%
-0.0031 145
 
1.5%
-0.0027 145
 
1.5%
-0.0029 144
 
1.4%
-0.0026 142
 
1.4%
-0.0019 141
 
1.4%
-0.0021 138
 
1.4%
-0.003 131
 
1.3%
Other values (2936) 8559
85.6%
ValueCountFrequency (%)
-0.3628 2
< 0.1%
-0.3622 1
 
< 0.1%
-0.3614 1
 
< 0.1%
-0.3593 1
 
< 0.1%
-0.3591 1
 
< 0.1%
-0.359 3
< 0.1%
-0.3587 1
 
< 0.1%
-0.3586 1
 
< 0.1%
-0.3585 1
 
< 0.1%
-0.3567 2
< 0.1%
ValueCountFrequency (%)
0.1885 1
< 0.1%
0.1884 1
< 0.1%
0.1854 1
< 0.1%
0.1852 1
< 0.1%
0.1834 1
< 0.1%
0.1777 1
< 0.1%
0.1749 2
< 0.1%
0.1747 1
< 0.1%
0.1697 1
< 0.1%
0.1686 1
< 0.1%

나선각도X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-19T14:22:52.627366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:52.711638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

나선각도Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-19T14:22:52.800659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:52.893439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

나선각도Z좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-19T14:22:52.983094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:53.076438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

공분산내용
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
9902 
[0.0005760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 
12
[0.0005290000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005290000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 
11
[0.000484, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000484, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 
10
[0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 
9
Other values (35)
 
56

Length

Max length235
Median length180
Mean length180.2727
Min length180

Unique

Unique28 ?
Unique (%)0.3%

Sample

1st row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2nd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3rd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
4th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
5th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

Common Values

ValueCountFrequency (%)
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 9902
99.0%
[0.0005760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 12
 
0.1%
[0.0005290000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005290000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 11
 
0.1%
[0.000484, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000484, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 10
 
0.1%
[0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 9
 
0.1%
[0.000484, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005290000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 6
 
0.1%
[0.0004, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000441, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 5
 
0.1%
[0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000625, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 5
 
0.1%
[0.0006760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006760000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00014400000000000003, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 5
 
0.1%
[0.000441, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000441, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 3
 
< 0.1%
Other values (30) 32
 
0.3%

Length

2024-04-19T14:22:53.178418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 359706
99.9%
0.0001 40
 
< 0.1%
0.000121 36
 
< 0.1%
0.0005290000000000001 34
 
< 0.1%
0.0005760000000000001 34
 
< 0.1%
0.000484 33
 
< 0.1%
0.000625 31
 
< 0.1%
0.000441 19
 
< 0.1%
0.0004 11
 
< 0.1%
0.0006760000000000001 11
 
< 0.1%
Other values (30) 45
 
< 0.1%

X축방향
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0093696347
Minimum-0.021062172
Maximum0.021844718
Zeros0
Zeros (%)0.0%
Negative7702
Negative (%)77.0%
Memory size166.0 KiB
2024-04-19T14:22:53.308007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.021062172
5-th percentile-0.019379266
Q1-0.019177393
median-0.017952393
Q3-0.0010024646
95-th percentile0.015128648
Maximum0.021844718
Range0.04290689
Interquartile range (IQR)0.018174928

Descriptive statistics

Standard deviation0.011797761
Coefficient of variation (CV)-1.2591484
Kurtosis-0.37842154
Mean-0.0093696347
Median Absolute Deviation (MAD)0.0020660768
Skewness0.88581633
Sum-93.696347
Variance0.00013918716
MonotonicityNot monotonic
2024-04-19T14:22:53.445533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0192455715995905 1
 
< 0.1%
-0.00903061295983 1
 
< 0.1%
-0.0190935479692521 1
 
< 0.1%
-0.0191380292968698 1
 
< 0.1%
-0.0176465564862649 1
 
< 0.1%
-0.0192050590624382 1
 
< 0.1%
0.0009340801977263766 1
 
< 0.1%
0.0154325329095972 1
 
< 0.1%
-0.0190396658012272 1
 
< 0.1%
-0.0052179781751019 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
-0.021062172398444 1
< 0.1%
-0.0210192150275791 1
< 0.1%
-0.0210021585758877 1
< 0.1%
-0.0209854632872171 1
< 0.1%
-0.0209758807045556 1
< 0.1%
-0.0209542027178027 1
< 0.1%
-0.0209411570474478 1
< 0.1%
-0.0208895518165692 1
< 0.1%
-0.0208840728785896 1
< 0.1%
-0.0208104936983428 1
< 0.1%
ValueCountFrequency (%)
0.021844717875892 1
< 0.1%
0.0218367143288964 1
< 0.1%
0.0218320951928335 1
< 0.1%
0.0217835864796645 1
< 0.1%
0.0217677941970514 1
< 0.1%
0.0217227694625479 1
< 0.1%
0.0217057181896433 1
< 0.1%
0.0216712940991456 1
< 0.1%
0.0216439552164816 1
< 0.1%
0.0216386563128909 1
< 0.1%

Y축방향
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00086382027
Minimum-0.019348983
Maximum0.042340684
Zeros0
Zeros (%)0.0%
Negative5144
Negative (%)51.4%
Memory size166.0 KiB
2024-04-19T14:22:53.565745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.019348983
5-th percentile-0.019232137
Q1-0.019080672
median-0.013699539
Q30.016793807
95-th percentile0.029480429
Maximum0.042340684
Range0.061689667
Interquartile range (IQR)0.035874479

Descriptive statistics

Standard deviation0.019499121
Coefficient of variation (CV)-22.573123
Kurtosis-1.5062486
Mean-0.00086382027
Median Absolute Deviation (MAD)0.0055628027
Skewness0.36375406
Sum-8.6382027
Variance0.00038021572
MonotonicityNot monotonic
2024-04-19T14:22:53.705342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0147147101855362 1
 
< 0.1%
0.0086727764254552 1
 
< 0.1%
-0.0190726972275732 1
 
< 0.1%
-0.0191158504663432 1
 
< 0.1%
-0.0130575533340081 1
 
< 0.1%
-0.0192010616401835 1
 
< 0.1%
0.0091994589404013 1
 
< 0.1%
0.0239029759370323 1
 
< 0.1%
-0.019077612767941 1
 
< 0.1%
0.0336814464032331 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
-0.0193489831804527 1
< 0.1%
-0.0193462534011668 1
< 0.1%
-0.0193390465980055 1
< 0.1%
-0.0193379539212314 1
< 0.1%
-0.0193351808827757 1
< 0.1%
-0.0193281487340608 1
< 0.1%
-0.0193273759033368 1
< 0.1%
-0.0193227457306222 1
< 0.1%
-0.0193226597502931 1
< 0.1%
-0.0193220822446537 1
< 0.1%
ValueCountFrequency (%)
0.042340684007213 1
< 0.1%
0.0422204235813486 1
< 0.1%
0.0420914665947173 1
< 0.1%
0.0417954954011354 1
< 0.1%
0.0415067062594758 1
< 0.1%
0.0413658486613954 1
< 0.1%
0.041255638278469 1
< 0.1%
0.0411678903571622 1
< 0.1%
0.0394857693495728 1
< 0.1%
0.0394755866750352 1
< 0.1%

Z축방향
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03225003
Minimum-0.99975211
Maximum0.9998156
Zeros0
Zeros (%)0.0%
Negative4857
Negative (%)48.6%
Memory size166.0 KiB
2024-04-19T14:22:54.191633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99975211
5-th percentile-0.99876828
Q1-0.99024813
median0.99908308
Q30.9990919
95-th percentile0.99910263
Maximum0.9998156
Range1.9995677
Interquartile range (IQR)1.98934

Descriptive statistics

Standard deviation0.99498356
Coefficient of variation (CV)30.852175
Kurtosis-1.9970711
Mean0.03225003
Median Absolute Deviation (MAD)0.00037416657
Skewness-0.057268533
Sum322.5003
Variance0.98999228
MonotonicityNot monotonic
2024-04-19T14:22:54.342313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9997054486181772 1
 
< 0.1%
-0.988446029793401 1
 
< 0.1%
0.9990926306301272 1
 
< 0.1%
0.999085909430746 1
 
< 0.1%
0.9994721428302132 1
 
< 0.1%
0.9990919064746095 1
 
< 0.1%
-0.99065803216345 1
 
< 0.1%
-0.9988715439803538 1
 
< 0.1%
0.9990919150392262 1
 
< 0.1%
-0.9883124028244508 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
-0.99975211457986 1
< 0.1%
-0.999750882460706 1
< 0.1%
-0.9997507843152478 1
< 0.1%
-0.999750694138116 1
< 0.1%
-0.9997502735580028 1
< 0.1%
-0.9997492222940628 1
< 0.1%
-0.9997484335605482 1
< 0.1%
-0.999745939218448 1
< 0.1%
-0.9997456230184316 1
< 0.1%
-0.9997438791053582 1
< 0.1%
ValueCountFrequency (%)
0.9998155999277728 1
< 0.1%
0.999814788231962 1
< 0.1%
0.9998119456344248 1
< 0.1%
0.9998098555115216 1
< 0.1%
0.9998072513914428 1
< 0.1%
0.9998054662227434 1
< 0.1%
0.9998028744620278 1
< 0.1%
0.9998000842250436 1
< 0.1%
0.9997992014489416 1
< 0.1%
0.999798132131404 1
< 0.1%

W축방향
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.074183878
Minimum-4.1290754 × 10-5
Maximum0.26381994
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-04-19T14:22:54.507823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.1290754 × 10-5
5-th percentile0.027480266
Q10.032930845
median0.033042862
Q30.13644763
95-th percentile0.15892043
Maximum0.26381994
Range0.26386123
Interquartile range (IQR)0.10351678

Descriptive statistics

Standard deviation0.054367436
Coefficient of variation (CV)0.73287401
Kurtosis-1.1120817
Mean0.074183878
Median Absolute Deviation (MAD)0.0038373586
Skewness0.68484229
Sum741.83878
Variance0.0029558181
MonotonicityNot monotonic
2024-04-19T14:22:54.676272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00144957962526 1
 
< 0.1%
0.1510552123043319 1
 
< 0.1%
0.0329482027883689 1
 
< 0.1%
0.033100840963941 1
 
< 0.1%
0.0239485918477135 1
 
< 0.1%
0.0328305856668496 1
 
< 0.1%
0.1360557266689972 1
 
< 0.1%
0.0380279278379966 1
 
< 0.1%
0.0329981987463789 1
 
< 0.1%
0.1485830653045993 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
-4.1290754330616016e-05 1
< 0.1%
0.0003383641238180633 1
< 0.1%
0.0003502338446303999 1
< 0.1%
0.0005004811395181767 1
< 0.1%
0.0007076890875814719 1
< 0.1%
0.000814016534619692 1
< 0.1%
0.0010763319763202 1
< 0.1%
0.0011397282570029 1
< 0.1%
0.0012517452054669 1
< 0.1%
0.0013296775184592 1
< 0.1%
ValueCountFrequency (%)
0.2638199388177401 1
< 0.1%
0.2635168549229371 1
< 0.1%
0.2633810340360586 1
< 0.1%
0.2602972918668053 1
< 0.1%
0.2600010704276444 1
< 0.1%
0.2598371039344845 1
< 0.1%
0.2596756670840779 1
< 0.1%
0.2595180042001493 1
< 0.1%
0.259371418556921 1
< 0.1%
0.2592019921514583 1
< 0.1%

방향공분산내용
Text

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-19T14:22:54.850482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length45
Mean length45.5045
Min length45

Characters and Unicode

Total characters455045
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)0.9%

Sample

1st row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2nd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3rd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
4th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
5th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
ValueCountFrequency (%)
0.0 89715
99.7%
1.2544000000000004e-06 13
 
< 0.1%
1.1664000000000002e-06 10
 
< 0.1%
9.604000000000002e-07 10
 
< 0.1%
1.1881000000000001e-06 9
 
< 0.1%
1.0404000000000002e-06 9
 
< 0.1%
1.4161000000000003e-06 8
 
< 0.1%
9.801000000000002e-07 8
 
< 0.1%
1.2100000000000003e-06 8
 
< 0.1%
9.216000000000003e-07 8
 
< 0.1%
Other values (118) 202
 
0.2%
2024-04-19T14:22:55.163618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182652
40.1%
. 90000
19.8%
, 80000
17.6%
80000
17.6%
[ 10000
 
2.2%
] 10000
 
2.2%
1 352
 
0.1%
6 316
 
0.1%
e 284
 
0.1%
- 284
 
0.1%
Other values (7) 1157
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184477
40.5%
Other Punctuation 170000
37.4%
Space Separator 80000
17.6%
Open Punctuation 10000
 
2.2%
Close Punctuation 10000
 
2.2%
Lowercase Letter 284
 
0.1%
Dash Punctuation 284
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182652
99.0%
1 352
 
0.2%
6 316
 
0.2%
2 243
 
0.1%
4 228
 
0.1%
5 201
 
0.1%
3 146
 
0.1%
9 143
 
0.1%
8 103
 
0.1%
7 93
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 90000
52.9%
, 80000
47.1%
Space Separator
ValueCountFrequency (%)
80000
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 10000
100.0%
Close Punctuation
ValueCountFrequency (%)
] 10000
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 454761
99.9%
Latin 284
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182652
40.2%
. 90000
19.8%
, 80000
17.6%
80000
17.6%
[ 10000
 
2.2%
] 10000
 
2.2%
1 352
 
0.1%
6 316
 
0.1%
- 284
 
0.1%
2 243
 
0.1%
Other values (6) 914
 
0.2%
Latin
ValueCountFrequency (%)
e 284
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182652
40.1%
. 90000
19.8%
, 80000
17.6%
80000
17.6%
[ 10000
 
2.2%
] 10000
 
2.2%
1 352
 
0.1%
6 316
 
0.1%
e 284
 
0.1%
- 284
 
0.1%
Other values (7) 1157
 
0.3%

X축각속도
Real number (ℝ)

Distinct3532
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.000183228
Minimum-0.0678
Maximum0.09555
Zeros14
Zeros (%)0.1%
Negative5087
Negative (%)50.9%
Memory size166.0 KiB
2024-04-19T14:22:55.316696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0678
5-th percentile-0.0190215
Q1-0.0024125
median-7 × 10-5
Q30.00221
95-th percentile0.0179505
Maximum0.09555
Range0.16335
Interquartile range (IQR)0.0046225

Descriptive statistics

Standard deviation0.010941532
Coefficient of variation (CV)-59.715395
Kurtosis5.7270418
Mean-0.000183228
Median Absolute Deviation (MAD)0.0023
Skewness0.080745802
Sum-1.83228
Variance0.00011971713
MonotonicityNot monotonic
2024-04-19T14:22:55.469794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9e-05 27
 
0.3%
-0.00058 23
 
0.2%
3.0000000000000004e-05 22
 
0.2%
-0.00063 22
 
0.2%
1e-05 21
 
0.2%
0.00014 21
 
0.2%
0.0005 21
 
0.2%
0.00023 20
 
0.2%
-0.00151 20
 
0.2%
0.00022 20
 
0.2%
Other values (3522) 9783
97.8%
ValueCountFrequency (%)
-0.0678 1
< 0.1%
-0.06627 1
< 0.1%
-0.05284 1
< 0.1%
-0.05049 1
< 0.1%
-0.05033 1
< 0.1%
-0.04778 1
< 0.1%
-0.04775 1
< 0.1%
-0.04728 1
< 0.1%
-0.04723 1
< 0.1%
-0.04661 1
< 0.1%
ValueCountFrequency (%)
0.09555 1
< 0.1%
0.07641 1
< 0.1%
0.07483 1
< 0.1%
0.07425 1
< 0.1%
0.06527 1
< 0.1%
0.06351 1
< 0.1%
0.06134 1
< 0.1%
0.0594 1
< 0.1%
0.05861 1
< 0.1%
0.05832 1
< 0.1%

Y축각속도
Real number (ℝ)

Distinct3640
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00013236
Minimum-0.11207
Maximum0.09716
Zeros17
Zeros (%)0.2%
Negative5076
Negative (%)50.8%
Memory size166.0 KiB
2024-04-19T14:22:55.646953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.11207
5-th percentile-0.019202
Q1-0.00272
median-6 × 10-5
Q30.00247
95-th percentile0.02006
Maximum0.09716
Range0.20923
Interquartile range (IQR)0.00519

Descriptive statistics

Standard deviation0.013171066
Coefficient of variation (CV)-99.509416
Kurtosis9.4941255
Mean-0.00013236
Median Absolute Deviation (MAD)0.00258
Skewness-0.22300891
Sum-1.3236
Variance0.00017347699
MonotonicityNot monotonic
2024-04-19T14:22:55.783127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.00011 23
 
0.2%
4e-05 22
 
0.2%
0.00025 20
 
0.2%
0.00018 20
 
0.2%
-0.00051 20
 
0.2%
0.00047 20
 
0.2%
0.00022 19
 
0.2%
0.00038 19
 
0.2%
0.00016 19
 
0.2%
-0.00023 18
 
0.2%
Other values (3630) 9800
98.0%
ValueCountFrequency (%)
-0.11207 1
< 0.1%
-0.09941 1
< 0.1%
-0.09448 1
< 0.1%
-0.09374 1
< 0.1%
-0.09259 1
< 0.1%
-0.09178 1
< 0.1%
-0.08774 1
< 0.1%
-0.08135 1
< 0.1%
-0.08118 1
< 0.1%
-0.08011 1
< 0.1%
ValueCountFrequency (%)
0.09716 1
< 0.1%
0.09242 1
< 0.1%
0.08045 1
< 0.1%
0.08001 1
< 0.1%
0.07804 1
< 0.1%
0.07391 1
< 0.1%
0.0708 1
< 0.1%
0.07069 1
< 0.1%
0.0702 1
< 0.1%
0.06702 1
< 0.1%

Z축각속도
Real number (ℝ)

Distinct3374
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003637614
Minimum-0.06326
Maximum0.06564
Zeros19
Zeros (%)0.2%
Negative3862
Negative (%)38.6%
Memory size166.0 KiB
2024-04-19T14:22:55.912221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.06326
5-th percentile-0.00881
Q1-0.00103
median0.00075
Q30.00504
95-th percentile0.026581
Maximum0.06564
Range0.1289
Interquartile range (IQR)0.00607

Descriptive statistics

Standard deviation0.011391607
Coefficient of variation (CV)3.1316151
Kurtosis5.6660791
Mean0.003637614
Median Absolute Deviation (MAD)0.00235
Skewness1.4458016
Sum36.37614
Variance0.00012976871
MonotonicityNot monotonic
2024-04-19T14:22:56.055758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4e-05 27
 
0.3%
0.0011 24
 
0.2%
0.0001 24
 
0.2%
0.0002 23
 
0.2%
-0.00043 22
 
0.2%
0.00101 21
 
0.2%
-0.001 21
 
0.2%
-0.00036 20
 
0.2%
0.00022 20
 
0.2%
-0.00096 20
 
0.2%
Other values (3364) 9778
97.8%
ValueCountFrequency (%)
-0.06326 1
< 0.1%
-0.05728 1
< 0.1%
-0.0533 1
< 0.1%
-0.05048 1
< 0.1%
-0.05023 1
< 0.1%
-0.04905 1
< 0.1%
-0.0481 1
< 0.1%
-0.04787 1
< 0.1%
-0.04657 1
< 0.1%
-0.04625 1
< 0.1%
ValueCountFrequency (%)
0.06564 1
< 0.1%
0.06499 1
< 0.1%
0.06233 1
< 0.1%
0.06196 1
< 0.1%
0.06188 1
< 0.1%
0.06171 1
< 0.1%
0.0607 1
< 0.1%
0.06063 1
< 0.1%
0.06034 1
< 0.1%
0.06 1
< 0.1%

각속도공분산내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
10000 

Length

Max length45
Median length45
Mean length45
Min length45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2nd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3rd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
4th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
5th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

Common Values

ValueCountFrequency (%)
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 10000
100.0%

Length

2024-04-19T14:22:56.175769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:56.263168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 90000
100.0%

X축선형가속도
Real number (ℝ)

Distinct4799
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26296433
Minimum-1.3219
Maximum2.195
Zeros0
Zeros (%)0.0%
Negative1902
Negative (%)19.0%
Memory size166.0 KiB
2024-04-19T14:22:56.377148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.3219
5-th percentile-0.1924
Q10.062375
median0.344
Q30.371
95-th percentile0.6534
Maximum2.195
Range3.5169
Interquartile range (IQR)0.308625

Descriptive statistics

Standard deviation0.32265844
Coefficient of variation (CV)1.2270046
Kurtosis5.4656552
Mean0.26296433
Median Absolute Deviation (MAD)0.06915
Skewness1.3365174
Sum2629.6433
Variance0.10410847
MonotonicityNot monotonic
2024-04-19T14:22:56.523439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3556 21
 
0.2%
0.3555 19
 
0.2%
0.3572 17
 
0.2%
0.3627 17
 
0.2%
0.3664 17
 
0.2%
0.3575 16
 
0.2%
0.3614 15
 
0.1%
0.3524 15
 
0.1%
0.3549 15
 
0.1%
0.3567 15
 
0.1%
Other values (4789) 9833
98.3%
ValueCountFrequency (%)
-1.3219 1
< 0.1%
-1.22 1
< 0.1%
-1.2019 1
< 0.1%
-1.0393 1
< 0.1%
-1.0256 1
< 0.1%
-1.0113 1
< 0.1%
-0.9124 1
< 0.1%
-0.8968 1
< 0.1%
-0.8589 1
< 0.1%
-0.8460000000000001 1
< 0.1%
ValueCountFrequency (%)
2.1950000000000003 1
< 0.1%
2.0955 1
< 0.1%
2.0836 1
< 0.1%
2.0394 1
< 0.1%
2.0098000000000003 1
< 0.1%
2.0037000000000003 1
< 0.1%
1.9224 1
< 0.1%
1.8533 1
< 0.1%
1.8384 1
< 0.1%
1.8046 1
< 0.1%

Y축선형가속도
Real number (ℝ)

Distinct4455
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34718898
Minimum-1.7706
Maximum1.7865
Zeros1
Zeros (%)< 0.1%
Negative497
Negative (%)5.0%
Memory size166.0 KiB
2024-04-19T14:22:56.672835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7706
5-th percentile0.001465
Q10.2863
median0.38105
Q30.4047
95-th percentile0.652915
Maximum1.7865
Range3.5571
Interquartile range (IQR)0.1184

Descriptive statistics

Standard deviation0.2039669
Coefficient of variation (CV)0.5874809
Kurtosis7.3670061
Mean0.34718898
Median Absolute Deviation (MAD)0.03735
Skewness-0.55570571
Sum3471.8898
Variance0.041602494
MonotonicityNot monotonic
2024-04-19T14:22:56.829108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.384 19
 
0.2%
0.3969 19
 
0.2%
0.3871 19
 
0.2%
0.3791 19
 
0.2%
0.3933 18
 
0.2%
0.3861 18
 
0.2%
0.3762 18
 
0.2%
0.3918 17
 
0.2%
0.3917 17
 
0.2%
0.3949 17
 
0.2%
Other values (4445) 9819
98.2%
ValueCountFrequency (%)
-1.7706000000000002 1
< 0.1%
-1.3611 1
< 0.1%
-1.264 1
< 0.1%
-1.0832000000000002 1
< 0.1%
-0.9738 1
< 0.1%
-0.9246 1
< 0.1%
-0.8996000000000001 1
< 0.1%
-0.8722000000000001 1
< 0.1%
-0.7795000000000001 1
< 0.1%
-0.7622 1
< 0.1%
ValueCountFrequency (%)
1.7865 1
< 0.1%
1.7558 1
< 0.1%
1.7482 1
< 0.1%
1.5885 1
< 0.1%
1.5545 1
< 0.1%
1.5426 1
< 0.1%
1.5111 1
< 0.1%
1.4398 1
< 0.1%
1.4358 1
< 0.1%
1.4303 1
< 0.1%

Z축선형가속도
Real number (ℝ)

Distinct4810
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.783891
Minimum7.2486
Maximum13.0063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T14:22:56.965477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2486
5-th percentile9.3801
Q19.7306
median9.7847
Q39.8358
95-th percentile10.172925
Maximum13.0063
Range5.7577
Interquartile range (IQR)0.1052

Descriptive statistics

Standard deviation0.28143666
Coefficient of variation (CV)0.02876531
Kurtosis17.914762
Mean9.783891
Median Absolute Deviation (MAD)0.0526
Skewness0.31175911
Sum97838.91
Variance0.079206591
MonotonicityNot monotonic
2024-04-19T14:22:57.128810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7886 15
 
0.1%
9.7804 13
 
0.1%
9.7702 12
 
0.1%
9.769 12
 
0.1%
9.8074 12
 
0.1%
9.7553 12
 
0.1%
9.8221 11
 
0.1%
9.7579 11
 
0.1%
9.767 11
 
0.1%
9.7791 11
 
0.1%
Other values (4800) 9880
98.8%
ValueCountFrequency (%)
7.248600000000001 1
< 0.1%
7.3464 1
< 0.1%
7.405200000000001 1
< 0.1%
7.5105 1
< 0.1%
7.5749 1
< 0.1%
7.6287 1
< 0.1%
7.6296 1
< 0.1%
7.6439 1
< 0.1%
7.785100000000001 1
< 0.1%
7.8651 1
< 0.1%
ValueCountFrequency (%)
13.0063 1
< 0.1%
12.9748 1
< 0.1%
12.6078 1
< 0.1%
12.4917 1
< 0.1%
12.2077 1
< 0.1%
12.1953 1
< 0.1%
12.1774 1
< 0.1%
12.0192 1
< 0.1%
12.0079 1
< 0.1%
11.7076 1
< 0.1%

선형가속도공분산내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
10000 

Length

Max length45
Median length45
Mean length45
Min length45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2nd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3rd row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
4th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
5th row[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

Common Values

ValueCountFrequency (%)
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 10000
100.0%

Length

2024-04-19T14:22:57.260112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:22:57.344961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 90000
100.0%

Sample

수집일시수집순번순번초수나노초수INS초수INS나노초수원천내용GPS상태코드GPS서비스구분코드위도경도고도위치공분산내용위치공분산유형코드나선선형X좌표나선선형Y좌표나선선형Z좌표나선각도X좌표나선각도Y좌표나선각도Z좌표공분산내용X축방향Y축방향Z축방향W축방향방향공분산내용X축각속도Y축각속도Z축각속도각속도공분산내용X축선형가속도Y축선형가속도Z축선형가속도선형가속도공분산내용
63382021-11-11-14-16-0801039416366078407805843801636607657910000086ins4137.4107127.09928459.402443[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.0266-5.72880.1884000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0192460.014715-0.9997050.00145[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.01489-0.062790.02094[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.12290.41319.7834[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
70062021-11-11-14-16-080954716366078322806593101636607649410000086ins4137.410948127.09929859.301891[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.006-0.0016-0.0025000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019272-0.019190.9990850.033014[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.00003-0.00205-0.00185[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.33070.37919.7663[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
21222021-11-11-14-16-080467616366077835801629591636607600710000038ins4137.410948127.09929859.291698[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.00050.0013-0.0024000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019272-0.0190090.9990950.032798[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.00178-0.000460.00036[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.4360.36589.842[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
8642021-11-11-14-16-080399416366077767800925861636607593910000086ins4137.410948127.09929759.28537[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.0071-0.0122-0.0041000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019-0.0189630.9990940.033026[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.000670.002350.00145[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.38430.35349.777[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
130222021-11-11-14-16-08017108163660790788128748016366077259999990ins1137.407099127.10040849.715496[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]12.6027-5.9692-0.2638000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.0079340.036274-0.9778780.205855[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.00780.035610.02418[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.21140.5029.4593[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
83672021-11-11-14-16-0801191916366078559807794621636607673109999895ins4137.409917127.0993759.565956[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.8788-5.9892-0.0755000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0062190.016749-0.9971520.073265[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.00227-0.001430.00194[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.19160.29289.8204[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
1812021-11-11-14-16-080329016366077697800304021636607586910000086ins4137.410948127.09929859.295116[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.0014-0.0038-0.0036000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019029-0.0189040.9990970.032955[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.00093-0.00250.00021[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.37810.40419.802[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
89672021-11-11-14-16-0801221716366078589808519261636607676109999895ins4137.409757127.09940359.263435[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]11.1905-5.9474-0.0967000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0052590.014135-0.9949040.099696[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.010950.006560.02608[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.16050.21189.7354[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
60062021-11-11-14-16-0801034016366078402805817801636607657410000086ins4137.410728127.09928459.412388[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.1024-5.89110.1155000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.014671-0.0126480.9997990.005132[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.015330.003710.01362[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.3601-0.42149.0984[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
53662021-11-11-14-16-080857316366078225805827251636607639710000038ins4137.410948127.09929759.303345[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.0091-0.0053-0.0015000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019172-0.0190090.9990890.033035[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.00316-0.00068-0.00043[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.39020.40859.7627[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
수집일시수집순번순번초수나노초수INS초수INS나노초수원천내용GPS상태코드GPS서비스구분코드위도경도고도위치공분산내용위치공분산유형코드나선선형X좌표나선선형Y좌표나선선형Z좌표나선각도X좌표나선각도Y좌표나선각도Z좌표공분산내용X축방향Y축방향Z축방향W축방향방향공분산내용X축각속도Y축각속도Z축각속도각속도공분산내용X축선형가속도Y축선형가속도Z축선형가속도선형가속도공분산내용
602021-11-11-14-16-08032291636607769800215391636607586210000038ins4137.410948127.09929859.297512[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.0019-0.0029-0.0033000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019044-0.0189420.9990960.032938[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.00017-0.0006-0.00132[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.40280.39499.7437[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
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10092021-11-11-14-16-080413916366077781801525711636607595309999943ins4137.410948127.09929759.284241[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.0051-0.0099-0.0052000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019045-0.0190410.9990910.033039[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.001130.000160.00066[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.36470.39829.7748[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
123572021-11-11-14-16-0801524116366078892810738261636607706410000086ins4137.408131127.09999953.130981[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]11.6886-6.1794-0.2943000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.0086680.021562-0.9910470.131474[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.021120.065120.00197[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.12610.895810.7527[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
81912021-11-11-14-16-0801116516366078484807803081636607665609999895ins4137.410316127.09931259.701923[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.5302-5.81110.0351000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0164550.026425-0.9985890.043012[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.011680.04801-0.00007[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.51350.382910.169[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
48262021-11-11-14-16-080928116366078296805676091636607646809999943ins4137.410948127.09929859.308502[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]1-0.0008-0.0049-0.0018000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.019228-0.0192050.9990850.033031[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.00098-0.00099-0.00011[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.36510.36589.7466[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
129102021-11-11-14-16-08016702163660790388143405716366077219999990ins1137.40732127.10030550.312489[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]11.9949-6.1025-0.1445000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.0006910.02789-0.9871920.157079[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.013870.004510.01936[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.10930.47159.8591[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
126882021-11-11-14-16-0801489316366078857809888851636607702910000086ins4137.408324127.09992754.024582[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]11.8107-6.1261-0.2539000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.0078190.019109-0.9898520.140596[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0049-0.003530.01115[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.03110.28999.8484[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
64492021-11-11-14-16-0801038716366078406806984521636607657809999943ins4137.410703127.09928459.39085[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.0103-5.75570.1189000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0205690.015191-0.9996730.000708[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0162-0.015650.02033[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0952-0.391511.4885[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
80502021-11-11-14-16-08010607163660784288074783416366076609999990ins4137.410593127.09928959.432499[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]10.2713-5.46090.0058000[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.0151020.013348-0.9992980.031581[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]-0.021950.041230.00681[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]0.3227-0.21819.6207[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]