Overview

Dataset statistics

Number of variables143
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 MiB
Average record size in memory1.3 KiB

Variable types

Numeric120
Categorical22
Text1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-22267/F/1/datasetView.do

Alerts

야간상주지 변경 미추정 인구 수 has constant value ""Constant
주간상주지 변경 미추정 인구수 has constant value ""Constant
야간상주지 변경횟수: 4분위수, 25% is highly imbalanced (84.6%)Imbalance
야간상주지 변경횟수: 4분위수, 75% is highly imbalanced (64.0%)Imbalance
주간상주지 변경횟수: 4분위수, 25% is highly imbalanced (68.1%)Imbalance
소액결재 사용횟수: 4분위수, 25% is highly imbalanced (51.6%)Imbalance
평균 문자량: 4분위수, 25% is highly imbalanced (97.5%)Imbalance
넷플릭스 사용일수: 4분위수, 25% is highly skewed (γ1 = 27.70408819)Skewed
평균 출근 소요시간 평균 has 1562 (15.6%) zerosZeros
평균 출근 소요시간: 4분위수, 25% has 1562 (15.6%) zerosZeros
평균 출근 소요시간: 4분위수, 50% has 1562 (15.6%) zerosZeros
평균 출근 소요시간: 4분위수, 75% has 1562 (15.6%) zerosZeros
평균 근무시간 평균 has 1541 (15.4%) zerosZeros
평균 근무시간: 4분위수, 25% has 1541 (15.4%) zerosZeros
평균 근무시간: 4분위수, 50% has 1541 (15.4%) zerosZeros
평균 근무시간: 4분위수, 75% has 1541 (15.4%) zerosZeros
소액결재 사용횟수 평균 has 720 (7.2%) zerosZeros
카카오톡 비사용 인구수 has 437 (4.4%) zerosZeros
SNS 사용횟수 has 340 (3.4%) zerosZeros
SNS 사용횟수: 4분위수, 50% has 212 (2.1%) zerosZeros
데이터 사용량: 4분위수, 25% has 345 (3.5%) zerosZeros
집 추정 위치 평일 총 체류시간 미추정 인구수 has 2017 (20.2%) zerosZeros
집 추정 위치 휴일 총 체류시간 미추정 인구수 has 1193 (11.9%) zerosZeros
게임 서비스 사용 미추정 인구수 has 118 (1.2%) zerosZeros
쇼핑 서비스 사용 미추정 인구수 has 173 (1.7%) zerosZeros
유튜브 사용 미추정 인구수 has 428 (4.3%) zerosZeros
유튜브 사용일수 has 173 (1.7%) zerosZeros
유튜브 사용일수: 4분위수, 50% has 144 (1.4%) zerosZeros
배달_브랜드 서비스 사용일수 has 1397 (14.0%) zerosZeros

Reproduction

Analysis started2024-05-04 06:51:28.516121
Analysis finished2024-05-04 06:51:36.404746
Duration7.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동코드
Real number (ℝ)

Distinct422
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1113678.6
Minimum1101053
Maximum1125074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:36.767173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101053
5-th percentile1102058
Q11107070
median1114069
Q31121052
95-th percentile1124080.1
Maximum1125074
Range24021
Interquartile range (IQR)13982

Descriptive statistics

Standard deviation7409.4601
Coefficient of variation (CV)0.0066531406
Kurtosis-1.2498114
Mean1113678.6
Median Absolute Deviation (MAD)6989
Skewness-0.084676414
Sum1.1136786 × 1010
Variance54900099
MonotonicityNot monotonic
2024-05-04T06:51:37.321104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1125074 48
 
0.5%
1125073 48
 
0.5%
1114073 24
 
0.2%
1111065 24
 
0.2%
1105065 24
 
0.2%
1122058 24
 
0.2%
1125063 24
 
0.2%
1109064 24
 
0.2%
1101068 24
 
0.2%
1124060 24
 
0.2%
Other values (412) 9712
97.1%
ValueCountFrequency (%)
1101053 24
0.2%
1101054 24
0.2%
1101055 23
0.2%
1101056 24
0.2%
1101057 23
0.2%
1101058 24
0.2%
1101060 24
0.2%
1101061 24
0.2%
1101063 24
0.2%
1101064 23
0.2%
ValueCountFrequency (%)
1125074 48
0.5%
1125073 48
0.5%
1125072 24
0.2%
1125071 24
0.2%
1125070 24
0.2%
1125067 24
0.2%
1125066 24
0.2%
1125065 24
0.2%
1125063 24
0.2%
1125061 23
0.2%

자치구
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송파구
 
635
관악구
 
498
강남구
 
494
강서구
 
474
성북구
 
472
Other values (20)
7427 

Length

Max length4
Median length3
Mean length3.0729
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row마포구
2nd row중구
3rd row강남구
4th row종로구
5th row영등포구

Common Values

ValueCountFrequency (%)
송파구 635
 
6.3%
관악구 498
 
5.0%
강남구 494
 
4.9%
강서구 474
 
4.7%
성북구 472
 
4.7%
강동구 453
 
4.5%
노원구 448
 
4.5%
영등포구 428
 
4.3%
양천구 427
 
4.3%
서초구 421
 
4.2%
Other values (15) 5250
52.5%

Length

2024-05-04T06:51:37.851332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 635
 
6.3%
관악구 498
 
5.0%
강남구 494
 
4.9%
강서구 474
 
4.7%
성북구 472
 
4.7%
강동구 453
 
4.5%
노원구 448
 
4.5%
영등포구 428
 
4.3%
양천구 427
 
4.3%
서초구 421
 
4.2%
Other values (15) 5250
52.5%
Distinct421
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T06:51:38.631040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7903
Min length2

Characters and Unicode

Total characters37903
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row성산2동
2nd row회현동
3rd row논현1동
4th row교남동
5th row문래동
ValueCountFrequency (%)
길동 48
 
0.5%
천호2동 48
 
0.5%
신사동 48
 
0.5%
수유2동 24
 
0.2%
상계3·4동 24
 
0.2%
이태원2동 24
 
0.2%
상계1동 24
 
0.2%
번2동 24
 
0.2%
오금동 24
 
0.2%
창신2동 24
 
0.2%
Other values (411) 9688
96.9%
2024-05-04T06:51:39.717601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10047
26.5%
2 2292
 
6.0%
1 2284
 
6.0%
3 1012
 
2.7%
903
 
2.4%
4 620
 
1.6%
541
 
1.4%
426
 
1.1%
403
 
1.1%
402
 
1.1%
Other values (178) 18973
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30797
81.3%
Decimal Number 6892
 
18.2%
Other Punctuation 214
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10047
32.6%
903
 
2.9%
541
 
1.8%
426
 
1.4%
403
 
1.3%
402
 
1.3%
379
 
1.2%
378
 
1.2%
377
 
1.2%
355
 
1.2%
Other values (167) 16586
53.9%
Decimal Number
ValueCountFrequency (%)
2 2292
33.3%
1 2284
33.1%
3 1012
14.7%
4 620
 
9.0%
5 258
 
3.7%
6 167
 
2.4%
7 141
 
2.0%
8 71
 
1.0%
0 24
 
0.3%
9 23
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30797
81.3%
Common 7106
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10047
32.6%
903
 
2.9%
541
 
1.8%
426
 
1.4%
403
 
1.3%
402
 
1.3%
379
 
1.2%
378
 
1.2%
377
 
1.2%
355
 
1.2%
Other values (167) 16586
53.9%
Common
ValueCountFrequency (%)
2 2292
32.3%
1 2284
32.1%
3 1012
14.2%
4 620
 
8.7%
5 258
 
3.6%
· 214
 
3.0%
6 167
 
2.4%
7 141
 
2.0%
8 71
 
1.0%
0 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30797
81.3%
ASCII 6892
 
18.2%
None 214
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10047
32.6%
903
 
2.9%
541
 
1.8%
426
 
1.4%
403
 
1.3%
402
 
1.3%
379
 
1.2%
378
 
1.2%
377
 
1.2%
355
 
1.2%
Other values (167) 16586
53.9%
ASCII
ValueCountFrequency (%)
2 2292
33.3%
1 2284
33.1%
3 1012
14.7%
4 620
 
9.0%
5 258
 
3.7%
6 167
 
2.4%
7 141
 
2.0%
8 71
 
1.0%
0 24
 
0.3%
9 23
 
0.3%
None
ValueCountFrequency (%)
· 214
100.0%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5003 
2
4997 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 5003
50.0%
2 4997
50.0%

Length

2024-05-04T06:51:40.095917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:40.356209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5003
50.0%
2 4997
50.0%

연령대
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.489
Minimum20
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:40.561927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median50
Q360
95-th percentile75
Maximum75
Range55
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.273671
Coefficient of variation (CV)0.36374047
Kurtosis-1.217542
Mean47.489
Median Absolute Deviation (MAD)15
Skewness-2.3910929 × 10-5
Sum474890
Variance298.37972
MonotonicityNot monotonic
2024-05-04T06:51:40.814237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
75 839
8.4%
20 838
8.4%
55 837
8.4%
60 836
8.4%
65 835
8.3%
25 835
8.3%
30 834
8.3%
50 833
8.3%
35 832
8.3%
40 830
8.3%
Other values (2) 1651
16.5%
ValueCountFrequency (%)
20 838
8.4%
25 835
8.3%
30 834
8.3%
35 832
8.3%
40 830
8.3%
45 828
8.3%
50 833
8.3%
55 837
8.4%
60 836
8.4%
65 835
8.3%
ValueCountFrequency (%)
75 839
8.4%
70 823
8.2%
65 835
8.3%
60 836
8.4%
55 837
8.4%
50 833
8.3%
45 828
8.3%
40 830
8.3%
35 832
8.3%
30 834
8.3%

총인구수
Real number (ℝ)

Distinct2933
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean847.91748
Minimum22
Maximum4777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:41.189237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile278.8
Q1556
median792.2
Q31076
95-th percentile1595
Maximum4777
Range4755
Interquartile range (IQR)520

Descriptive statistics

Standard deviation413.64227
Coefficient of variation (CV)0.48783317
Kurtosis2.5214144
Mean847.91748
Median Absolute Deviation (MAD)254.8
Skewness1.0332088
Sum8479174.8
Variance171099.93
MonotonicityNot monotonic
2024-05-04T06:51:41.685297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
748.0 19
 
0.2%
758.0 17
 
0.2%
965.0 16
 
0.2%
714.0 15
 
0.1%
971.0 15
 
0.1%
759.0 15
 
0.1%
782.0 14
 
0.1%
765.0 14
 
0.1%
561.0 14
 
0.1%
663.0 14
 
0.1%
Other values (2923) 9847
98.5%
ValueCountFrequency (%)
22.0 1
< 0.1%
24.14 1
< 0.1%
30.6 1
< 0.1%
32.3 1
< 0.1%
49.3 1
< 0.1%
51.0 2
< 0.1%
52.7 1
< 0.1%
53.86 1
< 0.1%
54.4 2
< 0.1%
59.0 1
< 0.1%
ValueCountFrequency (%)
4777.0 1
< 0.1%
3446.0 1
< 0.1%
3121.0 1
< 0.1%
3095.0 1
< 0.1%
3079.0 1
< 0.1%
3075.0 1
< 0.1%
3047.0 1
< 0.1%
2985.0 1
< 0.1%
2950.0 1
< 0.1%
2923.0 1
< 0.1%

1인가구수
Real number (ℝ)

Distinct8145
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.18839
Minimum8.54
Maximum2865.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:42.088787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.54
5-th percentile34.9085
Q172.055
median116.345
Q3187.7725
95-th percentile430.4435
Maximum2865.27
Range2856.73
Interquartile range (IQR)115.7175

Descriptive statistics

Standard deviation173.00029
Coefficient of variation (CV)1.0666626
Kurtosis40.496706
Mean162.18839
Median Absolute Deviation (MAD)52.545
Skewness4.9520621
Sum1621883.9
Variance29929.102
MonotonicityNot monotonic
2024-05-04T06:51:42.557884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.99 6
 
0.1%
68.34 6
 
0.1%
93.25 5
 
0.1%
48.27 5
 
0.1%
82.23 5
 
0.1%
88.33 5
 
0.1%
88.87 5
 
0.1%
57.86 5
 
0.1%
87.42 5
 
0.1%
76.15 4
 
< 0.1%
Other values (8135) 9949
99.5%
ValueCountFrequency (%)
8.54 1
< 0.1%
9.01 1
< 0.1%
9.44 1
< 0.1%
9.92 1
< 0.1%
9.98 1
< 0.1%
10.13 1
< 0.1%
10.67 1
< 0.1%
10.91 1
< 0.1%
11.0 1
< 0.1%
11.11 2
< 0.1%
ValueCountFrequency (%)
2865.27 1
< 0.1%
2692.23 1
< 0.1%
2391.01 1
< 0.1%
2267.34 1
< 0.1%
2211.67 1
< 0.1%
2173.08 1
< 0.1%
2123.41 1
< 0.1%
2115.59 1
< 0.1%
1925.04 1
< 0.1%
1902.39 1
< 0.1%
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

2024-05-04T06:51:43.118181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:43.471833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct185
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.672014
Minimum1
Maximum3.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:43.915313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.34
Q11.47
median1.6
Q31.8
95-th percentile2.24
Maximum3.39
Range2.39
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.28209063
Coefficient of variation (CV)0.16871308
Kurtosis2.5447073
Mean1.672014
Median Absolute Deviation (MAD)0.15
Skewness1.382981
Sum16720.14
Variance0.079575121
MonotonicityNot monotonic
2024-05-04T06:51:44.483894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.49 209
 
2.1%
1.45 209
 
2.1%
1.5 206
 
2.1%
1.47 206
 
2.1%
1.57 205
 
2.1%
1.46 201
 
2.0%
1.54 194
 
1.9%
1.55 193
 
1.9%
1.51 192
 
1.9%
1.6 187
 
1.9%
Other values (175) 7998
80.0%
ValueCountFrequency (%)
1.0 2
 
< 0.1%
1.11 1
 
< 0.1%
1.16 1
 
< 0.1%
1.19 2
 
< 0.1%
1.2 3
 
< 0.1%
1.21 7
0.1%
1.22 7
0.1%
1.23 7
0.1%
1.24 6
0.1%
1.25 14
0.1%
ValueCountFrequency (%)
3.39 1
< 0.1%
3.37 1
< 0.1%
3.33 1
< 0.1%
3.32 1
< 0.1%
3.14 2
< 0.1%
3.11 1
< 0.1%
3.1 1
< 0.1%
3.05 1
< 0.1%
3.04 2
< 0.1%
3.03 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9777 
2
 
223

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 9777
97.8%
2 223
 
2.2%

Length

2024-05-04T06:51:44.990715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:45.377807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9777
97.8%
2 223
 
2.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7137 
2
2792 
3
 
71

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 7137
71.4%
2 2792
 
27.9%
3 71
 
0.7%

Length

2024-05-04T06:51:45.865609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:46.235471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7137
71.4%
2 2792
 
27.9%
3 71
 
0.7%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8267 
3
1272 
1
 
404
4
 
56
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
2 8267
82.7%
3 1272
 
12.7%
1 404
 
4.0%
4 56
 
0.6%
5 1
 
< 0.1%

Length

2024-05-04T06:51:46.778485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:47.213346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8267
82.7%
3 1272
 
12.7%
1 404
 
4.0%
4 56
 
0.6%
5 1
 
< 0.1%
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

2024-05-04T06:51:47.565443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:47.857623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct302
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.338317
Minimum1
Maximum4.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:48.241862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.01
Q12.12
median2.38
Q32.67
95-th percentile3.46
Maximum4.86
Range3.86
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.64334783
Coefficient of variation (CV)0.27513285
Kurtosis0.20860752
Mean2.338317
Median Absolute Deviation (MAD)0.28
Skewness-0.29102594
Sum23383.17
Variance0.41389643
MonotonicityNot monotonic
2024-05-04T06:51:48.767581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 473
 
4.7%
1.01 259
 
2.6%
2.38 133
 
1.3%
2.33 122
 
1.2%
2.31 116
 
1.2%
2.37 115
 
1.1%
2.35 114
 
1.1%
2.3 112
 
1.1%
2.41 111
 
1.1%
2.51 111
 
1.1%
Other values (292) 8334
83.3%
ValueCountFrequency (%)
1.0 473
4.7%
1.01 259
2.6%
1.02 78
 
0.8%
1.03 20
 
0.2%
1.04 3
 
< 0.1%
1.05 5
 
0.1%
1.06 2
 
< 0.1%
1.12 1
 
< 0.1%
1.18 1
 
< 0.1%
1.19 3
 
< 0.1%
ValueCountFrequency (%)
4.86 1
 
< 0.1%
4.44 1
 
< 0.1%
4.35 1
 
< 0.1%
4.3 1
 
< 0.1%
4.21 1
 
< 0.1%
4.2 1
 
< 0.1%
4.17 2
< 0.1%
4.15 3
< 0.1%
4.13 2
< 0.1%
4.12 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8908 
2
1081 
3
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 8908
89.1%
2 1081
 
10.8%
3 11
 
0.1%

Length

2024-05-04T06:51:49.321030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:49.805994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8908
89.1%
2 1081
 
10.8%
3 11
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6469 
1
1994 
3
1445 
4
 
90
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
2 6469
64.7%
1 1994
 
19.9%
3 1445
 
14.4%
4 90
 
0.9%
5 2
 
< 0.1%

Length

2024-05-04T06:51:50.161431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:51:50.520748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6469
64.7%
1 1994
 
19.9%
3 1445
 
14.4%
4 90
 
0.9%
5 2
 
< 0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9651
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:50.935127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0658309
Coefficient of variation (CV)0.35945868
Kurtosis0.10431419
Mean2.9651
Median Absolute Deviation (MAD)0
Skewness-0.28149879
Sum29651
Variance1.1359956
MonotonicityNot monotonic
2024-05-04T06:51:51.428496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 5422
54.2%
4 1857
 
18.6%
1 1520
 
15.2%
5 614
 
6.1%
2 539
 
5.4%
6 47
 
0.5%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 1520
 
15.2%
2 539
 
5.4%
3 5422
54.2%
4 1857
 
18.6%
5 614
 
6.1%
6 47
 
0.5%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 47
 
0.5%
5 614
 
6.1%
4 1857
 
18.6%
3 5422
54.2%
2 539
 
5.4%
1 1520
 
15.2%
Distinct7635
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.17644
Minimum4.89
Maximum2796.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:51.935211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.89
5-th percentile131.4785
Q1258.3975
median364.035
Q3502.0675
95-th percentile801.465
Maximum2796.2
Range2791.31
Interquartile range (IQR)243.67

Descriptive statistics

Standard deviation216.58926
Coefficient of variation (CV)0.53720715
Kurtosis5.0932629
Mean403.17644
Median Absolute Deviation (MAD)119.235
Skewness1.5505011
Sum4031764.4
Variance46910.909
MonotonicityNot monotonic
2024-05-04T06:51:52.799858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375.7 15
 
0.1%
436.9 14
 
0.1%
222.7 13
 
0.1%
404.6 13
 
0.1%
455.6 12
 
0.1%
377.4 12
 
0.1%
340.0 12
 
0.1%
323.0 12
 
0.1%
292.4 12
 
0.1%
360.4 12
 
0.1%
Other values (7625) 9873
98.7%
ValueCountFrequency (%)
4.89 1
< 0.1%
15.3 1
< 0.1%
18.7 1
< 0.1%
23.6 1
< 0.1%
23.8 1
< 0.1%
24.14 1
< 0.1%
25.5 2
< 0.1%
25.94 1
< 0.1%
27.0 1
< 0.1%
27.2 1
< 0.1%
ValueCountFrequency (%)
2796.2 1
< 0.1%
1907.18 1
< 0.1%
1855.1 1
< 0.1%
1750.62 1
< 0.1%
1703.4 1
< 0.1%
1687.96 1
< 0.1%
1684.48 1
< 0.1%
1675.88 1
< 0.1%
1661.12 1
< 0.1%
1645.98 1
< 0.1%

평균 출근 소요시간 평균
Real number (ℝ)

ZEROS 

Distinct2817
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.618304
Minimum0
Maximum160
Zeros1562
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:53.350378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148.5575
median55.145
Q361.3
95-th percentile70.66
Maximum160
Range160
Interquartile range (IQR)12.7425

Descriptive statistics

Standard deviation22.53538
Coefficient of variation (CV)0.46351638
Kurtosis1.2103702
Mean48.618304
Median Absolute Deviation (MAD)6.355
Skewness-1.2504969
Sum486183.04
Variance507.84337
MonotonicityNot monotonic
2024-05-04T06:51:53.965367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1562
 
15.6%
60.0 36
 
0.4%
50.0 28
 
0.3%
10.0 18
 
0.2%
55.0 17
 
0.2%
56.08 13
 
0.1%
30.0 13
 
0.1%
20.0 12
 
0.1%
56.25 11
 
0.1%
53.45 11
 
0.1%
Other values (2807) 8279
82.8%
ValueCountFrequency (%)
0.0 1562
15.6%
10.0 18
 
0.2%
20.0 12
 
0.1%
25.0 1
 
< 0.1%
30.0 13
 
0.1%
36.67 1
 
< 0.1%
36.79 1
 
< 0.1%
37.32 1
 
< 0.1%
37.38 1
 
< 0.1%
38.06 1
 
< 0.1%
ValueCountFrequency (%)
160.0 7
0.1%
150.0 1
 
< 0.1%
140.0 2
 
< 0.1%
130.0 1
 
< 0.1%
125.94 1
 
< 0.1%
120.0 4
< 0.1%
110.0 5
0.1%
100.53 1
 
< 0.1%
100.0 2
 
< 0.1%
97.72 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.335
Minimum0
Maximum160
Zeros1562
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:54.532166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q330
95-th percentile30
Maximum160
Range160
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.198469
Coefficient of variation (CV)0.57175858
Kurtosis18.518604
Mean21.335
Median Absolute Deviation (MAD)10
Skewness1.490023
Sum213350
Variance148.80266
MonotonicityNot monotonic
2024-05-04T06:51:54.957951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20 4536
45.4%
30 3296
33.0%
0 1562
 
15.6%
40 420
 
4.2%
10 115
 
1.1%
50 30
 
0.3%
60 8
 
0.1%
160 7
 
0.1%
80 6
 
0.1%
110 5
 
0.1%
Other values (7) 15
 
0.1%
ValueCountFrequency (%)
0 1562
 
15.6%
10 115
 
1.1%
20 4536
45.4%
30 3296
33.0%
40 420
 
4.2%
50 30
 
0.3%
60 8
 
0.1%
70 1
 
< 0.1%
80 6
 
0.1%
90 4
 
< 0.1%
ValueCountFrequency (%)
160 7
0.1%
150 1
 
< 0.1%
140 2
 
< 0.1%
130 1
 
< 0.1%
120 4
< 0.1%
110 5
0.1%
100 2
 
< 0.1%
90 4
< 0.1%
80 6
0.1%
70 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.566
Minimum0
Maximum160
Zeros1562
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:55.381202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median40
Q350
95-th percentile60
Maximum160
Range160
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.708037
Coefficient of variation (CV)0.49800449
Kurtosis2.1090477
Mean37.566
Median Absolute Deviation (MAD)10
Skewness-0.60751638
Sum375660
Variance349.99064
MonotonicityNot monotonic
2024-05-04T06:51:55.813843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
40 3826
38.3%
50 2736
27.4%
0 1562
15.6%
30 932
 
9.3%
60 735
 
7.3%
70 102
 
1.0%
20 29
 
0.3%
80 23
 
0.2%
10 22
 
0.2%
90 9
 
0.1%
Other values (7) 24
 
0.2%
ValueCountFrequency (%)
0 1562
15.6%
10 22
 
0.2%
20 29
 
0.3%
30 932
 
9.3%
40 3826
38.3%
50 2736
27.4%
60 735
 
7.3%
70 102
 
1.0%
80 23
 
0.2%
90 9
 
0.1%
ValueCountFrequency (%)
160 8
 
0.1%
150 1
 
< 0.1%
140 2
 
< 0.1%
130 1
 
< 0.1%
120 4
 
< 0.1%
110 5
 
0.1%
100 3
 
< 0.1%
90 9
 
0.1%
80 23
 
0.2%
70 102
1.0%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.31
Minimum0
Maximum160
Zeros1562
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:56.320900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median70
Q380
95-th percentile100
Maximum160
Range160
Interquartile range (IQR)20

Descriptive statistics

Standard deviation31.800393
Coefficient of variation (CV)0.48691461
Kurtosis0.53329285
Mean65.31
Median Absolute Deviation (MAD)10
Skewness-0.95349723
Sum653100
Variance1011.265
MonotonicityNot monotonic
2024-05-04T06:51:56.895969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
70 2454
24.5%
80 2128
21.3%
0 1562
15.6%
60 1384
13.8%
90 1275
12.8%
100 547
 
5.5%
110 201
 
2.0%
50 198
 
2.0%
120 85
 
0.9%
160 29
 
0.3%
Other values (7) 137
 
1.4%
ValueCountFrequency (%)
0 1562
15.6%
10 18
 
0.2%
20 11
 
0.1%
30 14
 
0.1%
40 21
 
0.2%
50 198
 
2.0%
60 1384
13.8%
70 2454
24.5%
80 2128
21.3%
90 1275
12.8%
ValueCountFrequency (%)
160 29
 
0.3%
150 15
 
0.1%
140 29
 
0.3%
130 29
 
0.3%
120 85
 
0.9%
110 201
 
2.0%
100 547
 
5.5%
90 1275
12.8%
80 2128
21.3%
70 2454
24.5%
Distinct7614
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362.12633
Minimum4.89
Maximum2326.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:57.506654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.89
5-th percentile111.469
Q1224.495
median321.15
Q3450.3575
95-th percentile751.4
Maximum2326.85
Range2321.96
Interquartile range (IQR)225.8625

Descriptive statistics

Standard deviation206.22505
Coefficient of variation (CV)0.56948373
Kurtosis4.8347766
Mean362.12633
Median Absolute Deviation (MAD)108.905
Skewness1.6325945
Sum3621263.3
Variance42528.773
MonotonicityNot monotonic
2024-05-04T06:51:58.026565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382.5 16
 
0.2%
338.3 14
 
0.1%
404.6 13
 
0.1%
273.7 13
 
0.1%
377.4 13
 
0.1%
428.4 12
 
0.1%
360.4 12
 
0.1%
367.2 12
 
0.1%
375.7 12
 
0.1%
516.8 12
 
0.1%
Other values (7604) 9871
98.7%
ValueCountFrequency (%)
4.89 1
 
< 0.1%
10.2 1
 
< 0.1%
13.6 1
 
< 0.1%
15.3 2
< 0.1%
17.78 1
 
< 0.1%
18.7 3
< 0.1%
19.29 1
 
< 0.1%
21.82 1
 
< 0.1%
22.1 1
 
< 0.1%
22.12 1
 
< 0.1%
ValueCountFrequency (%)
2326.85 1
< 0.1%
1907.18 1
< 0.1%
1703.4 1
< 0.1%
1645.98 1
< 0.1%
1623.5 1
< 0.1%
1580.92 1
< 0.1%
1558.9 1
< 0.1%
1528.87 1
< 0.1%
1515.31 1
< 0.1%
1489.15 1
< 0.1%

평균 근무시간 평균
Real number (ℝ)

ZEROS 

Distinct5915
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441.00836
Minimum0
Maximum710
Zeros1541
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:58.485332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1482.38
median517.655
Q3542.16
95-th percentile564.7815
Maximum710
Range710
Interquartile range (IQR)59.78

Descriptive statistics

Standard deviation192.38188
Coefficient of variation (CV)0.43623181
Kurtosis1.3523082
Mean441.00836
Median Absolute Deviation (MAD)27.76
Skewness-1.7701123
Sum4410083.6
Variance37010.786
MonotonicityNot monotonic
2024-05-04T06:51:58.942201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1541
 
15.4%
710.0 39
 
0.4%
520.0 9
 
0.1%
542.16 9
 
0.1%
510.36 8
 
0.1%
550.0 8
 
0.1%
541.51 6
 
0.1%
553.75 6
 
0.1%
530.0 6
 
0.1%
490.0 6
 
0.1%
Other values (5905) 8362
83.6%
ValueCountFrequency (%)
0.0 1541
15.4%
30.0 1
 
< 0.1%
40.0 3
 
< 0.1%
50.0 1
 
< 0.1%
60.0 1
 
< 0.1%
70.0 1
 
< 0.1%
80.0 2
 
< 0.1%
90.0 1
 
< 0.1%
110.0 1
 
< 0.1%
120.0 5
 
0.1%
ValueCountFrequency (%)
710.0 39
0.4%
700.0 2
 
< 0.1%
696.67 1
 
< 0.1%
670.0 2
 
< 0.1%
660.0 1
 
< 0.1%
655.94 1
 
< 0.1%
654.71 1
 
< 0.1%
650.0 2
 
< 0.1%
648.73 1
 
< 0.1%
647.84 1
 
< 0.1%

평균 근무시간: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.417
Minimum0
Maximum710
Zeros1541
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:51:59.360996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1330
median420
Q3480
95-th percentile510
Maximum710
Range710
Interquartile range (IQR)150

Descriptive statistics

Standard deviation168.80126
Coefficient of variation (CV)0.46834988
Kurtosis0.46679257
Mean360.417
Median Absolute Deviation (MAD)60
Skewness-1.2967351
Sum3604170
Variance28493.865
MonotonicityNot monotonic
2024-05-04T06:51:59.816768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1541
 
15.4%
480 583
 
5.8%
490 548
 
5.5%
470 522
 
5.2%
500 514
 
5.1%
450 471
 
4.7%
460 468
 
4.7%
510 422
 
4.2%
400 405
 
4.0%
430 403
 
4.0%
Other values (57) 4123
41.2%
ValueCountFrequency (%)
0 1541
15.4%
30 2
 
< 0.1%
40 3
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 1
 
< 0.1%
110 1
 
< 0.1%
120 6
 
0.1%
ValueCountFrequency (%)
710 39
0.4%
700 2
 
< 0.1%
670 3
 
< 0.1%
660 2
 
< 0.1%
650 2
 
< 0.1%
640 3
 
< 0.1%
630 3
 
< 0.1%
620 3
 
< 0.1%
610 1
 
< 0.1%
600 5
 
0.1%

평균 근무시간: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.844
Minimum0
Maximum710
Zeros1541
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:00.218997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median550
Q3570
95-th percentile590
Maximum710
Range710
Interquartile range (IQR)50

Descriptive statistics

Standard deviation204.66204
Coefficient of variation (CV)0.43652482
Kurtosis1.3437665
Mean468.844
Median Absolute Deviation (MAD)20
Skewness-1.7702986
Sum4688440
Variance41886.552
MonotonicityNot monotonic
2024-05-04T06:52:00.619267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1541
15.4%
560 1509
15.1%
570 1441
14.4%
550 1165
11.7%
580 977
9.8%
540 758
7.6%
530 521
 
5.2%
590 433
 
4.3%
520 331
 
3.3%
510 216
 
2.2%
Other values (53) 1108
11.1%
ValueCountFrequency (%)
0 1541
15.4%
30 2
 
< 0.1%
40 3
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 1
 
< 0.1%
110 1
 
< 0.1%
120 5
 
0.1%
ValueCountFrequency (%)
710 96
1.0%
700 9
 
0.1%
690 7
 
0.1%
680 9
 
0.1%
670 10
 
0.1%
660 16
 
0.2%
650 14
 
0.1%
640 28
 
0.3%
630 30
 
0.3%
620 41
0.4%

평균 근무시간: 4분위수, 75%
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560.751
Minimum0
Maximum720
Zeros1541
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:00.986978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1620
median660
Q3690
95-th percentile710
Maximum720
Range720
Interquartile range (IQR)70

Descriptive statistics

Standard deviation243.79912
Coefficient of variation (CV)0.43477251
Kurtosis1.3993507
Mean560.751
Median Absolute Deviation (MAD)40
Skewness-1.8075281
Sum5607510
Variance59438.01
MonotonicityNot monotonic
2024-05-04T06:52:01.321714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710 1990
19.9%
0 1541
15.4%
650 806
8.1%
660 784
 
7.8%
670 749
 
7.5%
630 691
 
6.9%
640 690
 
6.9%
680 634
 
6.3%
620 590
 
5.9%
690 472
 
4.7%
Other values (46) 1053
10.5%
ValueCountFrequency (%)
0 1541
15.4%
30 1
 
< 0.1%
40 3
 
< 0.1%
50 1
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 1
 
< 0.1%
110 1
 
< 0.1%
120 5
 
0.1%
ValueCountFrequency (%)
720 6
 
0.1%
710 1990
19.9%
700 380
 
3.8%
690 472
 
4.7%
680 634
 
6.3%
670 749
 
7.5%
660 784
 
7.8%
650 806
8.1%
640 690
 
6.9%
630 691
 
6.9%
Distinct8077
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819.08093
Minimum22
Maximum4649.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:01.809831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile274.972
Q1541.8275
median765.335
Q31037.425
95-th percentile1534.516
Maximum4649.72
Range4627.72
Interquartile range (IQR)495.5975

Descriptive statistics

Standard deviation395.1514
Coefficient of variation (CV)0.48243267
Kurtosis2.5536806
Mean819.08093
Median Absolute Deviation (MAD)242.765
Skewness1.0239641
Sum8190809.3
Variance156144.63
MonotonicityNot monotonic
2024-05-04T06:52:02.506640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702.1 12
 
0.1%
445.4 12
 
0.1%
515.1 11
 
0.1%
487.9 11
 
0.1%
496.4 10
 
0.1%
710.6 10
 
0.1%
557.6 10
 
0.1%
530.4 10
 
0.1%
358.7 10
 
0.1%
372.3 10
 
0.1%
Other values (8067) 9894
98.9%
ValueCountFrequency (%)
22.0 1
< 0.1%
24.14 1
< 0.1%
28.9 1
< 0.1%
30.6 1
< 0.1%
49.3 2
< 0.1%
51.0 1
< 0.1%
52.0 1
< 0.1%
52.7 1
< 0.1%
54.4 2
< 0.1%
59.0 1
< 0.1%
ValueCountFrequency (%)
4649.72 1
< 0.1%
3371.09 1
< 0.1%
3056.83 1
< 0.1%
2920.72 1
< 0.1%
2865.09 1
< 0.1%
2848.85 1
< 0.1%
2847.65 1
< 0.1%
2806.82 1
< 0.1%
2771.57 1
< 0.1%
2764.44 1
< 0.1%

소액결재 사용횟수 평균
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.255153
Minimum0
Maximum3.33
Zeros720
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:03.473109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.12
median2.42
Q32.62
95-th percentile3.33
Maximum3.33
Range3.33
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.74074356
Coefficient of variation (CV)0.3284671
Kurtosis3.567998
Mean2.255153
Median Absolute Deviation (MAD)0.25
Skewness-1.8055979
Sum22551.53
Variance0.54870103
MonotonicityNot monotonic
2024-05-04T06:52:04.321241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 1193
 
11.9%
1.67 952
 
9.5%
0.0 720
 
7.2%
3.33 613
 
6.1%
2.22 557
 
5.6%
2.78 424
 
4.2%
2.33 348
 
3.5%
2.08 301
 
3.0%
2.67 250
 
2.5%
2.38 204
 
2.0%
Other values (115) 4438
44.4%
ValueCountFrequency (%)
0.0 720
7.2%
1.67 952
9.5%
1.77 1
 
< 0.1%
1.81 5
 
0.1%
1.82 3
 
< 0.1%
1.83 12
 
0.1%
1.84 1
 
< 0.1%
1.85 17
 
0.2%
1.86 2
 
< 0.1%
1.88 21
 
0.2%
ValueCountFrequency (%)
3.33 613
6.1%
3.21 1
 
< 0.1%
3.18 1
 
< 0.1%
3.17 1
 
< 0.1%
3.15 6
 
0.1%
3.13 4
 
< 0.1%
3.1 21
 
0.2%
3.06 44
 
0.4%
3.03 8
 
0.1%
3.02 2
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8478 
3.33
 
802
0.0
 
720

Length

Max length4
Median length4
Mean length3.928
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row3.33
4th row1.67
5th row0.0

Common Values

ValueCountFrequency (%)
1.67 8478
84.8%
3.33 802
 
8.0%
0.0 720
 
7.2%

Length

2024-05-04T06:52:05.194282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:05.726570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8478
84.8%
3.33 802
 
8.0%
0.0 720
 
7.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
5955 
3.33
3325 
0.0
720 

Length

Max length4
Median length4
Mean length3.928
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row3.33
4th row1.67
5th row0.0

Common Values

ValueCountFrequency (%)
1.67 5955
59.6%
3.33 3325
33.2%
0.0 720
 
7.2%

Length

2024-05-04T06:52:06.223960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:06.833233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 5955
59.6%
3.33 3325
33.2%
0.0 720
 
7.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
7559 
1.67
1721 
0.0
 
720

Length

Max length4
Median length4
Mean length3.928
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row3.33
4th row3.33
5th row0.0

Common Values

ValueCountFrequency (%)
3.33 7559
75.6%
1.67 1721
 
17.2%
0.0 720
 
7.2%

Length

2024-05-04T06:52:07.409841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:07.774825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 7559
75.6%
1.67 1721
 
17.2%
0.0 720
 
7.2%
Distinct7942
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.5048
Minimum22
Maximum4339.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:08.215995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile244.486
Q1477.535
median666.38
Q3882.0425
95-th percentile1293.764
Maximum4339.47
Range4317.47
Interquartile range (IQR)404.5075

Descriptive statistics

Standard deviation331.16682
Coefficient of variation (CV)0.46940406
Kurtosis3.4415455
Mean705.5048
Median Absolute Deviation (MAD)200.58
Skewness1.0752795
Sum7055048
Variance109671.46
MonotonicityNot monotonic
2024-05-04T06:52:08.806983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
368.9 13
 
0.1%
676.6 13
 
0.1%
506.6 12
 
0.1%
396.1 12
 
0.1%
467.5 12
 
0.1%
537.2 11
 
0.1%
572.9 11
 
0.1%
484.5 11
 
0.1%
491.3 11
 
0.1%
510.0 11
 
0.1%
Other values (7932) 9883
98.8%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
22.29 1
 
< 0.1%
27.2 1
 
< 0.1%
28.9 1
 
< 0.1%
42.5 1
 
< 0.1%
44.2 1
 
< 0.1%
44.57 1
 
< 0.1%
47.6 3
< 0.1%
49.3 1
 
< 0.1%
52.7 1
 
< 0.1%
ValueCountFrequency (%)
4339.47 1
< 0.1%
3152.86 1
< 0.1%
2765.15 1
< 0.1%
2715.74 1
< 0.1%
2660.94 1
< 0.1%
2584.0 1
< 0.1%
2550.87 1
< 0.1%
2511.07 1
< 0.1%
2496.9 1
< 0.1%
2430.66 1
< 0.1%
Distinct6747
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6063.2904
Minimum0
Maximum12000
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:09.309966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3752.38
Q15291.67
median6100
Q36878.3925
95-th percentile8185.19
Maximum12000
Range12000
Interquartile range (IQR)1586.7225

Descriptive statistics

Standard deviation1415.6217
Coefficient of variation (CV)0.23347417
Kurtosis2.5073694
Mean6063.2904
Median Absolute Deviation (MAD)794.69
Skewness-0.13541414
Sum60632904
Variance2003984.8
MonotonicityNot monotonic
2024-05-04T06:52:09.781669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000.0 44
 
0.4%
7000.0 40
 
0.4%
5000.0 37
 
0.4%
5666.67 37
 
0.4%
6333.33 36
 
0.4%
6666.67 35
 
0.4%
6000.0 32
 
0.3%
4333.33 30
 
0.3%
6166.67 30
 
0.3%
7666.67 25
 
0.2%
Other values (6737) 9654
96.5%
ValueCountFrequency (%)
0.0 15
0.1%
333.33 11
0.1%
416.67 1
 
< 0.1%
444.44 2
 
< 0.1%
500.0 1
 
< 0.1%
523.81 1
 
< 0.1%
555.56 1
 
< 0.1%
666.67 7
0.1%
800.0 2
 
< 0.1%
833.33 2
 
< 0.1%
ValueCountFrequency (%)
12000.0 44
0.4%
11555.56 1
 
< 0.1%
11500.0 1
 
< 0.1%
11333.33 1
 
< 0.1%
11076.92 1
 
< 0.1%
11000.0 2
 
< 0.1%
10888.89 2
 
< 0.1%
10875.0 1
 
< 0.1%
10800.0 1
 
< 0.1%
10777.78 1
 
< 0.1%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1573.433
Minimum0
Maximum12000
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:10.333024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile333.33
Q1666.67
median1333.33
Q32000
95-th percentile3333.33
Maximum12000
Range12000
Interquartile range (IQR)1333.33

Descriptive statistics

Standard deviation1348.4028
Coefficient of variation (CV)0.8569814
Kurtosis26.960342
Mean1573.433
Median Absolute Deviation (MAD)666.66
Skewness4.2589928
Sum15734330
Variance1818190.1
MonotonicityNot monotonic
2024-05-04T06:52:10.956721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1333.33 2181
21.8%
1666.67 1362
13.6%
333.33 1281
12.8%
666.67 1260
12.6%
1000.0 1128
11.3%
2000.0 1022
10.2%
2333.33 586
 
5.9%
2666.67 425
 
4.2%
3333.33 169
 
1.7%
3000.0 168
 
1.7%
Other values (26) 418
 
4.2%
ValueCountFrequency (%)
0.0 15
 
0.1%
333.33 1281
12.8%
666.67 1260
12.6%
1000.0 1128
11.3%
1333.33 2181
21.8%
1666.67 1362
13.6%
2000.0 1022
10.2%
2333.33 586
 
5.9%
2666.67 425
 
4.2%
3000.0 168
 
1.7%
ValueCountFrequency (%)
12000.0 65
0.7%
11666.67 3
 
< 0.1%
11000.0 2
 
< 0.1%
10666.67 2
 
< 0.1%
10333.33 3
 
< 0.1%
10000.0 3
 
< 0.1%
9666.67 5
 
0.1%
9333.33 1
 
< 0.1%
9000.0 5
 
0.1%
8666.67 1
 
< 0.1%
Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5174.9334
Minimum0
Maximum12000
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:11.546914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1333.33
Q13333.33
median4333.33
Q36666.67
95-th percentile12000
Maximum12000
Range12000
Interquartile range (IQR)3333.34

Descriptive statistics

Standard deviation3029.4123
Coefficient of variation (CV)0.58540121
Kurtosis0.070425707
Mean5174.9334
Median Absolute Deviation (MAD)1666.66
Skewness0.90381096
Sum51749334
Variance9177338.6
MonotonicityNot monotonic
2024-05-04T06:52:12.271089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3666.67 976
 
9.8%
3333.33 807
 
8.1%
12000.0 789
 
7.9%
4333.33 566
 
5.7%
4666.67 504
 
5.0%
4000.0 502
 
5.0%
5666.67 429
 
4.3%
5000.0 427
 
4.3%
2666.67 423
 
4.2%
2333.33 400
 
4.0%
Other values (27) 4177
41.8%
ValueCountFrequency (%)
0.0 15
 
0.1%
333.33 128
 
1.3%
666.67 159
 
1.6%
1000.0 117
 
1.2%
1333.33 264
2.6%
1666.67 251
2.5%
2000.0 228
2.3%
2333.33 400
4.0%
2666.67 423
4.2%
3000.0 376
3.8%
ValueCountFrequency (%)
12000.0 789
7.9%
11666.67 45
 
0.4%
11333.33 50
 
0.5%
11000.0 77
 
0.8%
10666.67 54
 
0.5%
10333.33 59
 
0.6%
10000.0 75
 
0.8%
9666.67 82
 
0.8%
9333.33 87
 
0.9%
9000.0 110
 
1.1%
Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10996.767
Minimum0
Maximum12000
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:12.678757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5000
Q112000
median12000
Q312000
95-th percentile12000
Maximum12000
Range12000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2360.3677
Coefficient of variation (CV)0.21464197
Kurtosis5.7849191
Mean10996.767
Median Absolute Deviation (MAD)0
Skewness-2.5489128
Sum1.0996767 × 108
Variance5571335.6
MonotonicityNot monotonic
2024-05-04T06:52:13.269310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
12000.0 7754
77.5%
11000.0 151
 
1.5%
11666.67 143
 
1.4%
10000.0 101
 
1.0%
10333.33 100
 
1.0%
7666.67 94
 
0.9%
6666.67 93
 
0.9%
11333.33 92
 
0.9%
7333.33 91
 
0.9%
10666.67 87
 
0.9%
Other values (27) 1294
 
12.9%
ValueCountFrequency (%)
0.0 15
0.1%
333.33 17
0.2%
666.67 19
0.2%
1000.0 5
 
0.1%
1333.33 31
0.3%
1666.67 19
0.2%
2000.0 18
0.2%
2333.33 32
0.3%
2666.67 32
0.3%
3000.0 33
0.3%
ValueCountFrequency (%)
12000.0 7754
77.5%
11666.67 143
 
1.4%
11333.33 92
 
0.9%
11000.0 151
 
1.5%
10666.67 87
 
0.9%
10333.33 100
 
1.0%
10000.0 101
 
1.0%
9666.67 81
 
0.8%
9333.33 68
 
0.7%
9000.0 86
 
0.9%
Distinct1466
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.884429
Minimum0
Maximum28.57
Zeros44
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:13.836016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.38
Q14.41
median6.48
Q38.88
95-th percentile12.9305
Maximum28.57
Range28.57
Interquartile range (IQR)4.47

Descriptive statistics

Standard deviation3.3061369
Coefficient of variation (CV)0.480234
Kurtosis0.94363089
Mean6.884429
Median Absolute Deviation (MAD)2.19
Skewness0.77057491
Sum68844.29
Variance10.930541
MonotonicityNot monotonic
2024-05-04T06:52:14.431773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
0.4%
9.09 36
 
0.4%
7.69 35
 
0.4%
6.67 34
 
0.3%
7.14 33
 
0.3%
6.19 31
 
0.3%
8.33 30
 
0.3%
6.25 28
 
0.3%
5.88 27
 
0.3%
3.85 26
 
0.3%
Other values (1456) 9676
96.8%
ValueCountFrequency (%)
0.0 44
0.4%
0.2 1
 
< 0.1%
0.45 1
 
< 0.1%
0.46 1
 
< 0.1%
0.47 1
 
< 0.1%
0.48 2
 
< 0.1%
0.52 2
 
< 0.1%
0.55 1
 
< 0.1%
0.61 2
 
< 0.1%
0.64 1
 
< 0.1%
ValueCountFrequency (%)
28.57 1
< 0.1%
25.64 1
< 0.1%
24.24 1
< 0.1%
24.02 1
< 0.1%
23.21 1
< 0.1%
22.22 1
< 0.1%
21.48 1
< 0.1%
21.13 1
< 0.1%
20.67 1
< 0.1%
20.51 1
< 0.1%

카카오톡 비사용 인구수
Real number (ℝ)

ZEROS 

Distinct4647
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.630085
Minimum0
Maximum607.35
Zeros437
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:15.047554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3795
Q113.6
median26.695
Q345.9
95-th percentile129.6115
Maximum607.35
Range607.35
Interquartile range (IQR)32.3

Descriptive statistics

Standard deviation54.954387
Coefficient of variation (CV)1.3525541
Kurtosis22.770849
Mean40.630085
Median Absolute Deviation (MAD)15.065
Skewness4.1858397
Sum406300.85
Variance3019.9847
MonotonicityNot monotonic
2024-05-04T06:52:15.570892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 437
 
4.4%
15.3 85
 
0.9%
22.1 83
 
0.8%
18.7 81
 
0.8%
23.8 79
 
0.8%
17.0 76
 
0.8%
20.4 75
 
0.8%
28.9 73
 
0.7%
27.2 72
 
0.7%
25.5 71
 
0.7%
Other values (4637) 8868
88.7%
ValueCountFrequency (%)
0.0 437
4.4%
1.7 19
 
0.2%
1.71 1
 
< 0.1%
1.78 3
 
< 0.1%
1.8 2
 
< 0.1%
1.81 1
 
< 0.1%
1.88 1
 
< 0.1%
1.9 1
 
< 0.1%
1.98 1
 
< 0.1%
2.02 3
 
< 0.1%
ValueCountFrequency (%)
607.35 1
< 0.1%
584.8 1
< 0.1%
538.9 1
< 0.1%
527.41 1
< 0.1%
523.37 1
< 0.1%
518.87 1
< 0.1%
493.07 1
< 0.1%
489.6 1
< 0.1%
485.89 1
< 0.1%
482.8 2
< 0.1%

SNS 사용횟수
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001317
Minimum-0.36
Maximum0.36
Zeros340
Zeros (%)3.4%
Negative4889
Negative (%)48.9%
Memory size166.0 KiB
2024-05-04T06:52:16.166173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.36
5-th percentile-0.21
Q1-0.07
median0
Q30.08
95-th percentile0.18
Maximum0.36
Range0.72
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.10990534
Coefficient of variation (CV)-83.451282
Kurtosis-0.25425949
Mean-0.001317
Median Absolute Deviation (MAD)0.07
Skewness-0.21236907
Sum-13.17
Variance0.012079183
MonotonicityNot monotonic
2024-05-04T06:52:16.733367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.06 425
 
4.2%
-0.07 425
 
4.2%
-0.05 381
 
3.8%
-0.08 359
 
3.6%
-0.01 354
 
3.5%
-0.04 346
 
3.5%
-0.02 345
 
3.5%
0.0 340
 
3.4%
0.02 340
 
3.4%
0.06 319
 
3.2%
Other values (50) 6366
63.7%
ValueCountFrequency (%)
-0.36 1
 
< 0.1%
-0.29 1
 
< 0.1%
-0.28 15
 
0.1%
-0.27 34
 
0.3%
-0.26 76
0.8%
-0.25 105
1.1%
-0.24 79
0.8%
-0.23 90
0.9%
-0.22 91
0.9%
-0.21 79
0.8%
ValueCountFrequency (%)
0.36 1
 
< 0.1%
0.29 2
 
< 0.1%
0.27 2
 
< 0.1%
0.26 4
 
< 0.1%
0.25 11
 
0.1%
0.24 20
 
0.2%
0.23 33
 
0.3%
0.22 50
0.5%
0.21 77
0.8%
0.2 93
0.9%
Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.246133
Minimum-0.46
Maximum0.08
Zeros11
Zeros (%)0.1%
Negative9964
Negative (%)99.6%
Memory size166.0 KiB
2024-05-04T06:52:17.426569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.46
5-th percentile-0.45
Q1-0.3
median-0.25
Q3-0.18
95-th percentile-0.08
Maximum0.08
Range0.54
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.09822709
Coefficient of variation (CV)-0.39908135
Kurtosis-0.053889003
Mean-0.246133
Median Absolute Deviation (MAD)0.06
Skewness-0.14896759
Sum-2461.33
Variance0.0096485612
MonotonicityNot monotonic
2024-05-04T06:52:18.009202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.45 670
 
6.7%
-0.27 548
 
5.5%
-0.28 542
 
5.4%
-0.26 512
 
5.1%
-0.24 507
 
5.1%
-0.29 474
 
4.7%
-0.25 455
 
4.5%
-0.23 426
 
4.3%
-0.21 376
 
3.8%
-0.22 371
 
3.7%
Other values (44) 5119
51.2%
ValueCountFrequency (%)
-0.46 4
 
< 0.1%
-0.45 670
6.7%
-0.44 67
 
0.7%
-0.43 37
 
0.4%
-0.42 37
 
0.4%
-0.41 44
 
0.4%
-0.4 41
 
0.4%
-0.39 60
 
0.6%
-0.38 70
 
0.7%
-0.37 111
 
1.1%
ValueCountFrequency (%)
0.08 1
 
< 0.1%
0.06 4
 
< 0.1%
0.05 2
 
< 0.1%
0.04 2
 
< 0.1%
0.03 2
 
< 0.1%
0.02 3
 
< 0.1%
0.01 11
 
0.1%
0.0 11
 
0.1%
-0.01 18
0.2%
-0.02 34
0.3%

SNS 사용횟수: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.051882
Minimum-0.45
Maximum0.4
Zeros212
Zeros (%)2.1%
Negative6266
Negative (%)62.7%
Memory size166.0 KiB
2024-05-04T06:52:18.559898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.45
5-th percentile-0.33
Q1-0.14
median-0.06
Q30.05
95-th percentile0.19
Maximum0.4
Range0.85
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.14449307
Coefficient of variation (CV)-2.7850327
Kurtosis-0.15024152
Mean-0.051882
Median Absolute Deviation (MAD)0.09
Skewness-0.1693242
Sum-518.82
Variance0.020878246
MonotonicityNot monotonic
2024-05-04T06:52:19.045925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 379
 
3.8%
-0.14 370
 
3.7%
-0.12 330
 
3.3%
-0.11 318
 
3.2%
-0.1 301
 
3.0%
-0.15 298
 
3.0%
-0.06 288
 
2.9%
-0.09 275
 
2.8%
-0.16 260
 
2.6%
-0.02 255
 
2.5%
Other values (70) 6926
69.3%
ValueCountFrequency (%)
-0.45 1
 
< 0.1%
-0.44 4
 
< 0.1%
-0.43 7
 
0.1%
-0.42 12
 
0.1%
-0.41 36
0.4%
-0.4 46
0.5%
-0.39 52
0.5%
-0.38 72
0.7%
-0.37 60
0.6%
-0.36 59
0.6%
ValueCountFrequency (%)
0.4 1
 
< 0.1%
0.33 1
 
< 0.1%
0.32 3
 
< 0.1%
0.31 2
 
< 0.1%
0.3 6
 
0.1%
0.29 2
 
< 0.1%
0.28 12
 
0.1%
0.27 22
0.2%
0.26 28
0.3%
0.25 42
0.4%
Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.207272
Minimum-0.31
Maximum0.67
Zeros84
Zeros (%)0.8%
Negative950
Negative (%)9.5%
Memory size166.0 KiB
2024-05-04T06:52:19.495048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.31
5-th percentile-0.08
Q10.09
median0.2
Q30.33
95-th percentile0.49
Maximum0.67
Range0.98
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.16952933
Coefficient of variation (CV)0.81790751
Kurtosis-0.48441144
Mean0.207272
Median Absolute Deviation (MAD)0.12
Skewness-0.030157257
Sum2072.72
Variance0.028740192
MonotonicityNot monotonic
2024-05-04T06:52:19.906012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08 247
 
2.5%
0.09 239
 
2.4%
0.12 238
 
2.4%
0.26 238
 
2.4%
0.11 235
 
2.4%
0.05 229
 
2.3%
0.07 227
 
2.3%
0.27 221
 
2.2%
0.28 219
 
2.2%
0.21 218
 
2.2%
Other values (82) 7689
76.9%
ValueCountFrequency (%)
-0.31 1
 
< 0.1%
-0.27 1
 
< 0.1%
-0.25 1
 
< 0.1%
-0.23 4
 
< 0.1%
-0.22 6
 
0.1%
-0.21 17
 
0.2%
-0.2 21
0.2%
-0.19 23
0.2%
-0.18 27
0.3%
-0.17 45
0.4%
ValueCountFrequency (%)
0.67 2
 
< 0.1%
0.65 1
 
< 0.1%
0.63 2
 
< 0.1%
0.62 1
 
< 0.1%
0.61 5
 
0.1%
0.6 6
 
0.1%
0.59 8
 
0.1%
0.58 19
0.2%
0.57 16
0.2%
0.56 23
0.2%

평균 통화량
Real number (ℝ)

Distinct3966
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.113803
Minimum20.37
Maximum124.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:20.308574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.37
5-th percentile36.92
Q158.07
median66.77
Q372.7
95-th percentile79.4905
Maximum124.44
Range104.07
Interquartile range (IQR)14.63

Descriptive statistics

Standard deviation12.439372
Coefficient of variation (CV)0.19402019
Kurtosis1.0196662
Mean64.113803
Median Absolute Deviation (MAD)6.88
Skewness-0.9966568
Sum641138.03
Variance154.73798
MonotonicityNot monotonic
2024-05-04T06:52:20.771900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.72 11
 
0.1%
70.29 11
 
0.1%
67.24 11
 
0.1%
73.78 11
 
0.1%
70.11 11
 
0.1%
70.78 10
 
0.1%
71.78 10
 
0.1%
71.86 10
 
0.1%
67.82 10
 
0.1%
77.28 10
 
0.1%
Other values (3956) 9895
99.0%
ValueCountFrequency (%)
20.37 1
< 0.1%
22.29 1
< 0.1%
23.07 1
< 0.1%
23.13 1
< 0.1%
23.28 1
< 0.1%
23.33 1
< 0.1%
23.63 2
< 0.1%
23.64 1
< 0.1%
23.71 1
< 0.1%
23.77 1
< 0.1%
ValueCountFrequency (%)
124.44 1
< 0.1%
120.95 1
< 0.1%
103.92 1
< 0.1%
100.16 1
< 0.1%
99.26 1
< 0.1%
97.41 1
< 0.1%
96.05 1
< 0.1%
96.04 1
< 0.1%
94.63 1
< 0.1%
93.83 1
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.430042
Minimum3.33
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:21.140320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile10
Q113.33
median16.67
Q323.33
95-th percentile26.67
Maximum80
Range76.67
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.8869919
Coefficient of variation (CV)0.31942369
Kurtosis1.0529035
Mean18.430042
Median Absolute Deviation (MAD)3.34
Skewness0.2310243
Sum184300.42
Variance34.656674
MonotonicityNot monotonic
2024-05-04T06:52:21.548819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
16.67 2048
20.5%
20.0 1953
19.5%
13.33 1704
17.0%
23.33 1625
16.2%
26.67 1052
10.5%
10.0 853
8.5%
6.67 402
 
4.0%
30.0 283
 
2.8%
33.33 55
 
0.5%
36.67 12
 
0.1%
Other values (5) 13
 
0.1%
ValueCountFrequency (%)
3.33 4
 
< 0.1%
6.67 402
 
4.0%
10.0 853
8.5%
13.33 1704
17.0%
16.67 2048
20.5%
20.0 1953
19.5%
23.33 1625
16.2%
26.67 1052
10.5%
30.0 283
 
2.8%
33.33 55
 
0.5%
ValueCountFrequency (%)
80.0 1
 
< 0.1%
63.33 1
 
< 0.1%
46.67 1
 
< 0.1%
40.0 6
 
0.1%
36.67 12
 
0.1%
33.33 55
 
0.5%
30.0 283
 
2.8%
26.67 1052
10.5%
23.33 1625
16.2%
20.0 1953
19.5%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.272707
Minimum3.33
Maximum116.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:21.903928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile20
Q136.67
median43.33
Q350
95-th percentile56.67
Maximum116.67
Range113.34
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation11.130056
Coefficient of variation (CV)0.26329178
Kurtosis0.1498926
Mean42.272707
Median Absolute Deviation (MAD)6.67
Skewness-0.3705681
Sum422727.07
Variance123.87815
MonotonicityNot monotonic
2024-05-04T06:52:22.275937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46.67 1258
12.6%
50.0 1173
11.7%
43.33 1162
11.6%
40.0 1029
10.3%
36.67 943
9.4%
53.33 908
9.1%
33.33 758
7.6%
56.67 609
6.1%
30.0 539
5.4%
26.67 330
 
3.3%
Other values (16) 1291
12.9%
ValueCountFrequency (%)
3.33 1
 
< 0.1%
6.67 1
 
< 0.1%
10.0 1
 
< 0.1%
13.33 111
 
1.1%
16.67 253
 
2.5%
20.0 170
 
1.7%
23.33 256
 
2.6%
26.67 330
3.3%
30.0 539
5.4%
33.33 758
7.6%
ValueCountFrequency (%)
116.67 1
 
< 0.1%
86.67 3
 
< 0.1%
83.33 1
 
< 0.1%
76.67 3
 
< 0.1%
73.33 11
 
0.1%
70.0 13
 
0.1%
66.67 41
 
0.4%
63.33 113
 
1.1%
60.0 312
3.1%
56.67 609
6.1%
Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.310966
Minimum23.33
Maximum223.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:22.820076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.33
5-th percentile46.67
Q180
median93.33
Q3103.33
95-th percentile120
Maximum223.33
Range200
Interquartile range (IQR)23.33

Descriptive statistics

Standard deviation21.688271
Coefficient of variation (CV)0.24015103
Kurtosis0.83252753
Mean90.310966
Median Absolute Deviation (MAD)13.33
Skewness-0.56902256
Sum903109.66
Variance470.38112
MonotonicityNot monotonic
2024-05-04T06:52:23.388804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
96.67 751
 
7.5%
103.33 737
 
7.4%
93.33 723
 
7.2%
100.0 722
 
7.2%
90.0 678
 
6.8%
106.67 677
 
6.8%
86.67 539
 
5.4%
110.0 528
 
5.3%
83.33 476
 
4.8%
113.33 438
 
4.4%
Other values (38) 3731
37.3%
ValueCountFrequency (%)
23.33 2
 
< 0.1%
26.67 14
 
0.1%
30.0 66
0.7%
33.33 113
1.1%
36.67 115
1.1%
40.0 78
0.8%
43.33 88
0.9%
46.67 115
1.1%
50.0 101
1.0%
53.33 105
1.1%
ValueCountFrequency (%)
223.33 2
 
< 0.1%
213.33 1
 
< 0.1%
173.33 2
 
< 0.1%
170.0 1
 
< 0.1%
166.67 4
< 0.1%
163.33 1
 
< 0.1%
160.0 3
< 0.1%
156.67 5
0.1%
153.33 2
 
< 0.1%
150.0 1
 
< 0.1%

평균 문자량
Real number (ℝ)

Distinct1295
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.960907
Minimum0
Maximum30
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:23.899139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.78
Q110.09
median11.86
Q313.72
95-th percentile16.44
Maximum30
Range30
Interquartile range (IQR)3.63

Descriptive statistics

Standard deviation2.7311533
Coefficient of variation (CV)0.22833998
Kurtosis1.1711168
Mean11.960907
Median Absolute Deviation (MAD)1.82
Skewness0.32809801
Sum119609.07
Variance7.4591984
MonotonicityNot monotonic
2024-05-04T06:52:24.526887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 80
 
0.8%
13.33 61
 
0.6%
11.67 43
 
0.4%
12.22 34
 
0.3%
6.67 33
 
0.3%
8.89 30
 
0.3%
11.03 25
 
0.2%
10.83 25
 
0.2%
11.33 24
 
0.2%
7.78 24
 
0.2%
Other values (1285) 9621
96.2%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 13
0.1%
3.7 1
 
< 0.1%
3.75 1
 
< 0.1%
4.07 1
 
< 0.1%
4.24 1
 
< 0.1%
4.29 2
 
< 0.1%
4.31 1
 
< 0.1%
4.38 1
 
< 0.1%
4.44 4
 
< 0.1%
ValueCountFrequency (%)
30.0 1
< 0.1%
29.7 1
< 0.1%
27.92 1
< 0.1%
26.67 1
< 0.1%
25.83 1
< 0.1%
25.73 1
< 0.1%
25.21 1
< 0.1%
24.07 1
< 0.1%
23.87 1
< 0.1%
23.77 1
< 0.1%

평균 문자량: 4분위수, 25%
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
9940 
6.67
 
53
0.0
 
4
10.0
 
2
13.33
 
1

Length

Max length5
Median length4
Mean length3.9997
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3.33
2nd row3.33
3rd row3.33
4th row3.33
5th row3.33

Common Values

ValueCountFrequency (%)
3.33 9940
99.4%
6.67 53
 
0.5%
0.0 4
 
< 0.1%
10.0 2
 
< 0.1%
13.33 1
 
< 0.1%

Length

2024-05-04T06:52:25.137377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:25.624529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 9940
99.4%
6.67 53
 
0.5%
0.0 4
 
< 0.1%
10.0 2
 
< 0.1%
13.33 1
 
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.858122
Minimum0
Maximum30
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:26.058626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.33
Q13.33
median6.67
Q36.67
95-th percentile6.67
Maximum30
Range30
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation1.6617482
Coefficient of variation (CV)0.28366568
Kurtosis5.426212
Mean5.858122
Median Absolute Deviation (MAD)0
Skewness0.018555789
Sum58581.22
Variance2.761407
MonotonicityNot monotonic
2024-05-04T06:52:26.519191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6.67 7060
70.6%
3.33 2691
 
26.9%
10.0 232
 
2.3%
13.33 7
 
0.1%
16.67 4
 
< 0.1%
0.0 4
 
< 0.1%
20.0 1
 
< 0.1%
30.0 1
 
< 0.1%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 2691
 
26.9%
6.67 7060
70.6%
10.0 232
 
2.3%
13.33 7
 
0.1%
16.67 4
 
< 0.1%
20.0 1
 
< 0.1%
30.0 1
 
< 0.1%
ValueCountFrequency (%)
30.0 1
 
< 0.1%
20.0 1
 
< 0.1%
16.67 4
 
< 0.1%
13.33 7
 
0.1%
10.0 232
 
2.3%
6.67 7060
70.6%
3.33 2691
 
26.9%
0.0 4
 
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.401567
Minimum0
Maximum80
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:26.994690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.67
Q110
median13.33
Q313.33
95-th percentile20
Maximum80
Range80
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation3.8267027
Coefficient of variation (CV)0.30856606
Kurtosis20.679946
Mean12.401567
Median Absolute Deviation (MAD)3.33
Skewness2.1310594
Sum124015.67
Variance14.643653
MonotonicityNot monotonic
2024-05-04T06:52:27.643797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10.0 3865
38.6%
13.33 3354
33.5%
16.67 1372
 
13.7%
6.67 804
 
8.0%
20.0 389
 
3.9%
23.33 107
 
1.1%
3.33 43
 
0.4%
26.67 31
 
0.3%
30.0 10
 
0.1%
36.67 7
 
0.1%
Other values (6) 18
 
0.2%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 43
 
0.4%
6.67 804
 
8.0%
10.0 3865
38.6%
13.33 3354
33.5%
16.67 1372
 
13.7%
20.0 389
 
3.9%
23.33 107
 
1.1%
26.67 31
 
0.3%
30.0 10
 
0.1%
ValueCountFrequency (%)
80.0 1
 
< 0.1%
73.33 1
 
< 0.1%
43.33 4
 
< 0.1%
40.0 4
 
< 0.1%
36.67 7
 
0.1%
33.33 4
 
< 0.1%
30.0 10
 
0.1%
26.67 31
 
0.3%
23.33 107
 
1.1%
20.0 389
3.9%
Distinct1647
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.106845
Minimum4.49
Maximum27.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:28.529876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.49
5-th percentile6.74
Q19.9675
median13.17
Q316.15
95-th percentile19.6005
Maximum27.04
Range22.55
Interquartile range (IQR)6.1825

Descriptive statistics

Standard deviation3.9897518
Coefficient of variation (CV)0.30440215
Kurtosis-0.8393593
Mean13.106845
Median Absolute Deviation (MAD)3.11
Skewness0.056189305
Sum131068.45
Variance15.918119
MonotonicityNot monotonic
2024-05-04T06:52:29.051415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.38 23
 
0.2%
13.47 20
 
0.2%
13.32 19
 
0.2%
12.68 19
 
0.2%
13.58 18
 
0.2%
13.72 18
 
0.2%
12.59 17
 
0.2%
13.81 17
 
0.2%
13.89 17
 
0.2%
13.33 17
 
0.2%
Other values (1637) 9815
98.2%
ValueCountFrequency (%)
4.49 1
< 0.1%
4.61 1
< 0.1%
4.75 1
< 0.1%
4.81 1
< 0.1%
4.85 1
< 0.1%
4.88 1
< 0.1%
4.9 1
< 0.1%
4.94 1
< 0.1%
4.95 1
< 0.1%
4.96 1
< 0.1%
ValueCountFrequency (%)
27.04 1
< 0.1%
25.14 1
< 0.1%
23.77 1
< 0.1%
23.28 1
< 0.1%
23.14 1
< 0.1%
23.12 1
< 0.1%
23.09 1
< 0.1%
22.96 1
< 0.1%
22.86 1
< 0.1%
22.67 1
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.055761
Minimum1.67
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:29.511194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q15
median6.67
Q36.67
95-th percentile8.33
Maximum20
Range18.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.8519689
Coefficient of variation (CV)0.30581935
Kurtosis-0.12318732
Mean6.055761
Median Absolute Deviation (MAD)1.66
Skewness0.18141309
Sum60557.61
Variance3.4297887
MonotonicityNot monotonic
2024-05-04T06:52:29.979753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6.67 3777
37.8%
5.0 2253
22.5%
3.33 1946
19.5%
8.33 1583
15.8%
10.0 401
 
4.0%
11.67 30
 
0.3%
1.67 6
 
0.1%
13.33 2
 
< 0.1%
20.0 1
 
< 0.1%
16.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 6
 
0.1%
3.33 1946
19.5%
5.0 2253
22.5%
6.67 3777
37.8%
8.33 1583
15.8%
10.0 401
 
4.0%
11.67 30
 
0.3%
13.33 2
 
< 0.1%
16.67 1
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
20.0 1
 
< 0.1%
16.67 1
 
< 0.1%
13.33 2
 
< 0.1%
11.67 30
 
0.3%
10.0 401
 
4.0%
8.33 1583
15.8%
6.67 3777
37.8%
5.0 2253
22.5%
3.33 1946
19.5%
1.67 6
 
0.1%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.318879
Minimum3.33
Maximum21.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:30.521801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q18.33
median10
Q311.67
95-th percentile16.67
Maximum21.67
Range18.34
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation3.2345306
Coefficient of variation (CV)0.31345756
Kurtosis-0.57865458
Mean10.318879
Median Absolute Deviation (MAD)1.67
Skewness0.21936965
Sum103188.79
Variance10.462188
MonotonicityNot monotonic
2024-05-04T06:52:31.022102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10.0 2144
21.4%
11.67 1764
17.6%
6.67 1466
14.7%
8.33 1308
13.1%
13.33 1122
11.2%
5.0 830
 
8.3%
15.0 822
 
8.2%
16.67 433
 
4.3%
18.33 83
 
0.8%
3.33 15
 
0.1%
Other values (2) 13
 
0.1%
ValueCountFrequency (%)
3.33 15
 
0.1%
5.0 830
 
8.3%
6.67 1466
14.7%
8.33 1308
13.1%
10.0 2144
21.4%
11.67 1764
17.6%
13.33 1122
11.2%
15.0 822
 
8.2%
16.67 433
 
4.3%
18.33 83
 
0.8%
ValueCountFrequency (%)
21.67 2
 
< 0.1%
20.0 11
 
0.1%
18.33 83
 
0.8%
16.67 433
 
4.3%
15.0 822
 
8.2%
13.33 1122
11.2%
11.67 1764
17.6%
10.0 2144
21.4%
8.33 1308
13.1%
6.67 1466
14.7%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.933895
Minimum5
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:31.503339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q113.33
median16.67
Q321.67
95-th percentile26.67
Maximum35
Range30
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation5.6930089
Coefficient of variation (CV)0.33619016
Kurtosis-0.77669079
Mean16.933895
Median Absolute Deviation (MAD)5
Skewness0.25137021
Sum169338.95
Variance32.410351
MonotonicityNot monotonic
2024-05-04T06:52:32.094069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16.67 1361
13.6%
15.0 1059
10.6%
10.0 940
9.4%
13.33 919
9.2%
18.33 902
9.0%
11.67 790
7.9%
23.33 675
6.8%
25.0 656
6.6%
20.0 617
6.2%
21.67 565
 
5.7%
Other values (9) 1516
15.2%
ValueCountFrequency (%)
5.0 3
 
< 0.1%
6.67 245
 
2.5%
8.33 518
 
5.2%
10.0 940
9.4%
11.67 790
7.9%
13.33 919
9.2%
15.0 1059
10.6%
16.67 1361
13.6%
18.33 902
9.0%
20.0 617
6.2%
ValueCountFrequency (%)
35.0 1
 
< 0.1%
33.33 4
 
< 0.1%
31.67 14
 
0.1%
30.0 57
 
0.6%
28.33 223
 
2.2%
26.67 451
4.5%
25.0 656
6.6%
23.33 675
6.8%
21.67 565
5.7%
20.0 617
6.2%
Distinct563
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1208
Minimum2.22
Maximum9.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:32.675250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.22
5-th percentile3.07
Q14.24
median5.31
Q36.01
95-th percentile6.8
Maximum9.25
Range7.03
Interquartile range (IQR)1.77

Descriptive statistics

Standard deviation1.1666403
Coefficient of variation (CV)0.22782385
Kurtosis-0.63384499
Mean5.1208
Median Absolute Deviation (MAD)0.84
Skewness-0.29969421
Sum51208
Variance1.3610497
MonotonicityNot monotonic
2024-05-04T06:52:33.259367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.93 54
 
0.5%
5.92 53
 
0.5%
5.91 52
 
0.5%
5.83 48
 
0.5%
5.58 45
 
0.4%
5.45 45
 
0.4%
5.75 44
 
0.4%
6.13 44
 
0.4%
6.25 44
 
0.4%
6.14 43
 
0.4%
Other values (553) 9528
95.3%
ValueCountFrequency (%)
2.22 1
 
< 0.1%
2.25 1
 
< 0.1%
2.3 1
 
< 0.1%
2.33 2
< 0.1%
2.34 2
< 0.1%
2.35 2
< 0.1%
2.36 3
< 0.1%
2.37 4
< 0.1%
2.38 2
< 0.1%
2.39 3
< 0.1%
ValueCountFrequency (%)
9.25 1
< 0.1%
8.98 1
< 0.1%
8.85 1
< 0.1%
8.78 1
< 0.1%
8.41 1
< 0.1%
8.39 1
< 0.1%
8.38 1
< 0.1%
8.37 1
< 0.1%
8.36 1
< 0.1%
8.3 1
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
6575 
1.67
2729 
5.0
686 
6.67
 
10

Length

Max length4
Median length4
Mean length3.9314
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.33
2nd row3.33
3rd row3.33
4th row3.33
5th row1.67

Common Values

ValueCountFrequency (%)
3.33 6575
65.8%
1.67 2729
27.3%
5.0 686
 
6.9%
6.67 10
 
0.1%

Length

2024-05-04T06:52:33.746786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:34.192498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 6575
65.8%
1.67 2729
27.3%
5.0 686
 
6.9%
6.67 10
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
5133 
3.33
3839 
1.67
604 
6.67
 
413
8.33
 
11

Length

Max length4
Median length3
Mean length3.4867
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row3.33
5th row3.33

Common Values

ValueCountFrequency (%)
5.0 5133
51.3%
3.33 3839
38.4%
1.67 604
 
6.0%
6.67 413
 
4.1%
8.33 11
 
0.1%

Length

2024-05-04T06:52:34.563928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:52:35.023505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 5133
51.3%
3.33 3839
38.4%
1.67 604
 
6.0%
6.67 413
 
4.1%
8.33 11
 
0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.96714
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:35.394678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q15
median6.67
Q36.67
95-th percentile8.33
Maximum11.67
Range10
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.4559021
Coefficient of variation (CV)0.24398658
Kurtosis-0.44706744
Mean5.96714
Median Absolute Deviation (MAD)1.66
Skewness-0.11320164
Sum59671.4
Variance2.1196508
MonotonicityNot monotonic
2024-05-04T06:52:35.754515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6.67 4355
43.5%
5.0 3157
31.6%
8.33 1244
 
12.4%
3.33 1193
 
11.9%
10.0 49
 
0.5%
11.67 1
 
< 0.1%
1.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 1193
 
11.9%
5.0 3157
31.6%
6.67 4355
43.5%
8.33 1244
 
12.4%
10.0 49
 
0.5%
11.67 1
 
< 0.1%
ValueCountFrequency (%)
11.67 1
 
< 0.1%
10.0 49
 
0.5%
8.33 1244
 
12.4%
6.67 4355
43.5%
5.0 3157
31.6%
3.33 1193
 
11.9%
1.67 1
 
< 0.1%

데이터 사용량
Real number (ℝ)

Distinct1560
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.491216
Minimum0.2
Maximum21.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:36.295446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.58
Q11.62
median4.5
Q38.6825
95-th percentile13.56
Maximum21.74
Range21.54
Interquartile range (IQR)7.0625

Descriptive statistics

Standard deviation4.3028997
Coefficient of variation (CV)0.78359688
Kurtosis-0.70410102
Mean5.491216
Median Absolute Deviation (MAD)3.22
Skewness0.63651758
Sum54912.16
Variance18.514946
MonotonicityNot monotonic
2024-05-04T06:52:37.084817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 39
 
0.4%
0.64 31
 
0.3%
0.75 30
 
0.3%
0.57 30
 
0.3%
0.71 30
 
0.3%
0.63 30
 
0.3%
1.24 29
 
0.3%
0.65 29
 
0.3%
1.87 28
 
0.3%
1.36 27
 
0.3%
Other values (1550) 9697
97.0%
ValueCountFrequency (%)
0.2 1
 
< 0.1%
0.21 1
 
< 0.1%
0.22 2
 
< 0.1%
0.23 3
 
< 0.1%
0.24 4
 
< 0.1%
0.25 8
0.1%
0.26 10
0.1%
0.27 6
0.1%
0.28 7
0.1%
0.29 13
0.1%
ValueCountFrequency (%)
21.74 1
< 0.1%
21.66 1
< 0.1%
19.38 1
< 0.1%
18.72 1
< 0.1%
18.56 1
< 0.1%
18.2 1
< 0.1%
18.04 1
< 0.1%
18.02 1
< 0.1%
17.96 2
< 0.1%
17.9 1
< 0.1%

데이터 사용량: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct482
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.072275
Minimum0
Maximum13.87
Zeros345
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:38.059829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.2
median0.57
Q31.87
95-th percentile3.18
Maximum13.87
Range13.87
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.1122997
Coefficient of variation (CV)1.0373269
Kurtosis3.1724837
Mean1.072275
Median Absolute Deviation (MAD)0.5
Skewness1.3347899
Sum10722.75
Variance1.2372106
MonotonicityNot monotonic
2024-05-04T06:52:39.021084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 345
 
3.5%
0.01 221
 
2.2%
0.02 128
 
1.3%
0.06 127
 
1.3%
0.1 123
 
1.2%
0.2 121
 
1.2%
0.19 117
 
1.2%
0.12 117
 
1.2%
0.21 111
 
1.1%
0.05 110
 
1.1%
Other values (472) 8480
84.8%
ValueCountFrequency (%)
0.0 345
3.5%
0.01 221
2.2%
0.02 128
 
1.3%
0.03 92
 
0.9%
0.04 90
 
0.9%
0.05 110
 
1.1%
0.06 127
 
1.3%
0.07 98
 
1.0%
0.08 93
 
0.9%
0.09 95
 
0.9%
ValueCountFrequency (%)
13.87 1
< 0.1%
9.63 1
< 0.1%
9.25 1
< 0.1%
8.84 1
< 0.1%
8.42 1
< 0.1%
8.21 1
< 0.1%
7.1 1
< 0.1%
6.81 1
< 0.1%
6.79 1
< 0.1%
6.39 1
< 0.1%
Distinct1214
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.201689
Minimum0.02
Maximum18.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:39.651605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.1
Q10.6
median1.83
Q35.36
95-th percentile9.8005
Maximum18.97
Range18.95
Interquartile range (IQR)4.76

Descriptive statistics

Standard deviation3.1966708
Coefficient of variation (CV)0.99843265
Kurtosis0.23140823
Mean3.201689
Median Absolute Deviation (MAD)1.58
Skewness1.0509335
Sum32016.89
Variance10.218705
MonotonicityNot monotonic
2024-05-04T06:52:40.261031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 155
 
1.6%
0.05 88
 
0.9%
0.35 65
 
0.7%
0.11 63
 
0.6%
0.36 62
 
0.6%
0.03 59
 
0.6%
0.39 58
 
0.6%
0.1 57
 
0.6%
0.5 53
 
0.5%
0.21 52
 
0.5%
Other values (1204) 9288
92.9%
ValueCountFrequency (%)
0.02 7
 
0.1%
0.03 59
 
0.6%
0.04 155
1.6%
0.05 88
0.9%
0.06 49
 
0.5%
0.07 46
 
0.5%
0.08 43
 
0.4%
0.09 50
 
0.5%
0.1 57
 
0.6%
0.11 63
0.6%
ValueCountFrequency (%)
18.97 1
< 0.1%
17.17 1
< 0.1%
16.64 1
< 0.1%
16.49 1
< 0.1%
16.43 1
< 0.1%
16.13 1
< 0.1%
16.09 1
< 0.1%
15.9 1
< 0.1%
15.75 1
< 0.1%
15.74 1
< 0.1%
Distinct2146
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.295299
Minimum0.11
Maximum29.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:40.692308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.42
Q11.6
median5.27
Q312.1925
95-th percentile19.5605
Maximum29.57
Range29.46
Interquartile range (IQR)10.5925

Descriptive statistics

Standard deviation6.4126794
Coefficient of variation (CV)0.87901529
Kurtosis-0.7095992
Mean7.295299
Median Absolute Deviation (MAD)4.28
Skewness0.69571032
Sum72952.99
Variance41.122457
MonotonicityNot monotonic
2024-05-04T06:52:41.191856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 42
 
0.4%
0.18 40
 
0.4%
0.22 37
 
0.4%
0.17 33
 
0.3%
0.19 31
 
0.3%
0.56 30
 
0.3%
0.55 30
 
0.3%
0.2 30
 
0.3%
0.51 29
 
0.3%
0.59 26
 
0.3%
Other values (2136) 9672
96.7%
ValueCountFrequency (%)
0.11 3
 
< 0.1%
0.12 3
 
< 0.1%
0.13 11
 
0.1%
0.14 20
0.2%
0.15 24
0.2%
0.16 42
0.4%
0.17 33
0.3%
0.18 40
0.4%
0.19 31
0.3%
0.2 30
0.3%
ValueCountFrequency (%)
29.57 1
< 0.1%
27.35 1
< 0.1%
26.7 1
< 0.1%
26.67 1
< 0.1%
26.15 1
< 0.1%
25.92 1
< 0.1%
25.5 1
< 0.1%
24.97 1
< 0.1%
24.95 1
< 0.1%
24.89 1
< 0.1%
Distinct5555
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.640077
Minimum0
Maximum655.66
Zeros73
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:41.640154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.18
Q128.51
median46.77
Q371.4625
95-th percentile139.4
Maximum655.66
Range655.66
Interquartile range (IQR)42.9525

Descriptive statistics

Standard deviation48.238767
Coefficient of variation (CV)0.83689629
Kurtosis14.94553
Mean57.640077
Median Absolute Deviation (MAD)20.795
Skewness3.0171716
Sum576400.77
Variance2326.9786
MonotonicityNot monotonic
2024-05-04T06:52:42.076253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 73
 
0.7%
35.7 68
 
0.7%
47.6 67
 
0.7%
42.5 66
 
0.7%
37.4 65
 
0.7%
25.5 60
 
0.6%
39.1 60
 
0.6%
23.8 59
 
0.6%
22.1 59
 
0.6%
34.0 58
 
0.6%
Other values (5545) 9365
93.7%
ValueCountFrequency (%)
0.0 73
0.7%
1.7 4
 
< 0.1%
1.76 1
 
< 0.1%
2.1 1
 
< 0.1%
2.21 1
 
< 0.1%
2.22 1
 
< 0.1%
2.38 1
 
< 0.1%
2.39 1
 
< 0.1%
2.44 1
 
< 0.1%
2.46 1
 
< 0.1%
ValueCountFrequency (%)
655.66 1
< 0.1%
468.64 1
< 0.1%
467.31 1
< 0.1%
435.2 1
< 0.1%
435.06 1
< 0.1%
409.99 1
< 0.1%
409.7 1
< 0.1%
408.0 1
< 0.1%
406.3 1
< 0.1%
403.57 1
< 0.1%

평일 총 이동 횟수
Real number (ℝ)

Distinct2072
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.902696
Minimum7.1
Maximum38.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:42.488617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.1
5-th percentile11.58
Q118.6
median21.32
Q324.11
95-th percentile27.5
Maximum38.3
Range31.2
Interquartile range (IQR)5.51

Descriptive statistics

Standard deviation4.6361011
Coefficient of variation (CV)0.22179441
Kurtosis0.15892718
Mean20.902696
Median Absolute Deviation (MAD)2.76
Skewness-0.56710426
Sum209026.96
Variance21.493433
MonotonicityNot monotonic
2024-05-04T06:52:42.915713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.64 23
 
0.2%
21.0 20
 
0.2%
21.53 19
 
0.2%
21.54 19
 
0.2%
20.73 18
 
0.2%
21.29 18
 
0.2%
21.01 18
 
0.2%
20.44 17
 
0.2%
22.85 17
 
0.2%
22.03 17
 
0.2%
Other values (2062) 9814
98.1%
ValueCountFrequency (%)
7.1 1
< 0.1%
7.35 1
< 0.1%
7.49 1
< 0.1%
7.58 1
< 0.1%
7.59 1
< 0.1%
7.73 2
< 0.1%
7.75 1
< 0.1%
7.79 2
< 0.1%
7.81 1
< 0.1%
7.82 1
< 0.1%
ValueCountFrequency (%)
38.3 1
< 0.1%
37.01 1
< 0.1%
36.67 1
< 0.1%
35.18 1
< 0.1%
34.57 1
< 0.1%
33.26 1
< 0.1%
33.2 1
< 0.1%
33.04 1
< 0.1%
32.78 1
< 0.1%
32.54 1
< 0.1%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.364755
Minimum1.67
Maximum33.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:43.279400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q18.33
median11.67
Q316.67
95-th percentile21.67
Maximum33.33
Range31.66
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation5.3124787
Coefficient of variation (CV)0.4296469
Kurtosis-0.48769498
Mean12.364755
Median Absolute Deviation (MAD)3.34
Skewness0.24694221
Sum123647.55
Variance28.22243
MonotonicityNot monotonic
2024-05-04T06:52:43.640114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.0 1315
13.2%
11.67 1260
12.6%
13.33 1009
10.1%
8.33 944
9.4%
15.0 904
9.0%
16.67 817
8.2%
6.67 704
7.0%
18.33 669
6.7%
3.33 622
6.2%
5.0 539
5.4%
Other values (10) 1217
12.2%
ValueCountFrequency (%)
1.67 37
 
0.4%
3.33 622
6.2%
5.0 539
5.4%
6.67 704
7.0%
8.33 944
9.4%
10.0 1315
13.2%
11.67 1260
12.6%
13.33 1009
10.1%
15.0 904
9.0%
16.67 817
8.2%
ValueCountFrequency (%)
33.33 2
 
< 0.1%
31.67 2
 
< 0.1%
30.0 2
 
< 0.1%
28.33 2
 
< 0.1%
26.67 31
 
0.3%
25.0 96
 
1.0%
23.33 174
 
1.7%
21.67 336
3.4%
20.0 535
5.3%
18.33 669
6.7%
Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.355019
Minimum5
Maximum38.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:43.998465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q118.33
median23.33
Q326.67
95-th percentile28.33
Maximum38.33
Range33.33
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation6.2118167
Coefficient of variation (CV)0.29088322
Kurtosis-0.045289899
Mean21.355019
Median Absolute Deviation (MAD)3.34
Skewness-0.81389093
Sum213550.19
Variance38.586667
MonotonicityNot monotonic
2024-05-04T06:52:44.369050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26.67 1337
13.4%
23.33 1250
12.5%
25.0 1151
11.5%
21.67 1128
11.3%
28.33 990
9.9%
20.0 787
7.9%
18.33 609
 
6.1%
16.67 452
 
4.5%
15.0 402
 
4.0%
30.0 325
 
3.2%
Other values (11) 1569
15.7%
ValueCountFrequency (%)
5.0 111
 
1.1%
6.67 273
 
2.7%
8.33 266
 
2.7%
10.0 270
 
2.7%
11.67 236
 
2.4%
13.33 323
3.2%
15.0 402
4.0%
16.67 452
4.5%
18.33 609
6.1%
20.0 787
7.9%
ValueCountFrequency (%)
38.33 3
 
< 0.1%
36.67 1
 
< 0.1%
35.0 3
 
< 0.1%
33.33 6
 
0.1%
31.67 77
 
0.8%
30.0 325
 
3.2%
28.33 990
9.9%
26.67 1337
13.4%
25.0 1151
11.5%
23.33 1250
12.5%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.506262
Minimum8.33
Maximum43.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:44.596287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.33
5-th percentile16.67
Q126.67
median30
Q331.67
95-th percentile35
Maximum43.33
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1982353
Coefficient of variation (CV)0.18235416
Kurtosis1.7078117
Mean28.506262
Median Absolute Deviation (MAD)1.67
Skewness-1.1717271
Sum285062.62
Variance27.021651
MonotonicityNot monotonic
2024-05-04T06:52:44.917767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30.0 1987
19.9%
28.33 1907
19.1%
31.67 1200
12.0%
33.33 1025
10.2%
26.67 1009
10.1%
35.0 589
 
5.9%
25.0 478
 
4.8%
23.33 294
 
2.9%
36.67 255
 
2.5%
21.67 219
 
2.2%
Other values (12) 1037
10.4%
ValueCountFrequency (%)
8.33 3
 
< 0.1%
10.0 30
 
0.3%
11.67 91
 
0.9%
13.33 149
1.5%
15.0 125
1.2%
16.67 158
1.6%
18.33 197
2.0%
20.0 196
2.0%
21.67 219
2.2%
23.33 294
2.9%
ValueCountFrequency (%)
43.33 3
 
< 0.1%
41.67 3
 
< 0.1%
40.0 11
 
0.1%
38.33 71
 
0.7%
36.67 255
 
2.5%
35.0 589
 
5.9%
33.33 1025
10.2%
31.67 1200
12.0%
30.0 1987
19.9%
28.33 1907
19.1%
Distinct6438
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.09947
Minimum0
Maximum961.64
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:45.439741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.857
Q156.1
median86.635
Q3128.7175
95-th percentile247.352
Maximum961.64
Range961.64
Interquartile range (IQR)72.6175

Descriptive statistics

Standard deviation81.709972
Coefficient of variation (CV)0.7774537
Kurtosis12.955424
Mean105.09947
Median Absolute Deviation (MAD)35.255
Skewness2.8672073
Sum1050994.7
Variance6676.5196
MonotonicityNot monotonic
2024-05-04T06:52:45.822731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.3 39
 
0.4%
69.7 37
 
0.4%
76.5 37
 
0.4%
68.0 37
 
0.4%
71.4 37
 
0.4%
83.3 37
 
0.4%
62.9 36
 
0.4%
78.2 35
 
0.4%
51.0 35
 
0.4%
73.1 35
 
0.4%
Other values (6428) 9635
96.4%
ValueCountFrequency (%)
0.0 24
0.2%
1.7 2
 
< 0.1%
2.44 1
 
< 0.1%
2.89 1
 
< 0.1%
3.19 1
 
< 0.1%
3.23 1
 
< 0.1%
3.4 2
 
< 0.1%
3.48 1
 
< 0.1%
3.52 1
 
< 0.1%
3.64 1
 
< 0.1%
ValueCountFrequency (%)
961.64 1
< 0.1%
793.38 1
< 0.1%
780.69 1
< 0.1%
757.69 1
< 0.1%
729.3 1
< 0.1%
708.52 1
< 0.1%
707.2 1
< 0.1%
687.75 1
< 0.1%
681.7 1
< 0.1%
678.3 1
< 0.1%
Distinct719
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.945998
Minimum3.65
Maximum17.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:46.201157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.65
5-th percentile5.19
Q17.27
median8.16
Q38.87
95-th percentile9.72
Maximum17.22
Range13.57
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.3521752
Coefficient of variation (CV)0.1701706
Kurtosis0.82099091
Mean7.945998
Median Absolute Deviation (MAD)0.78
Skewness-0.64198818
Sum79459.98
Variance1.8283778
MonotonicityNot monotonic
2024-05-04T06:52:46.602840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7 57
 
0.6%
8.73 48
 
0.5%
8.22 47
 
0.5%
8.01 46
 
0.5%
8.85 44
 
0.4%
8.63 44
 
0.4%
8.8 43
 
0.4%
8.55 42
 
0.4%
8.4 42
 
0.4%
8.71 42
 
0.4%
Other values (709) 9545
95.5%
ValueCountFrequency (%)
3.65 1
< 0.1%
3.69 1
< 0.1%
3.75 2
< 0.1%
3.82 1
< 0.1%
3.83 1
< 0.1%
3.84 2
< 0.1%
3.86 2
< 0.1%
3.88 2
< 0.1%
3.89 2
< 0.1%
3.9 1
< 0.1%
ValueCountFrequency (%)
17.22 1
< 0.1%
16.11 1
< 0.1%
13.78 1
< 0.1%
13.48 1
< 0.1%
13.41 1
< 0.1%
13.33 1
< 0.1%
12.95 1
< 0.1%
12.92 1
< 0.1%
12.83 1
< 0.1%
12.1 1
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.489427
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:46.970255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median5
Q35
95-th percentile6.67
Maximum15
Range13.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.3427545
Coefficient of variation (CV)0.29909262
Kurtosis0.49417489
Mean4.489427
Median Absolute Deviation (MAD)0
Skewness-0.20848313
Sum44894.27
Variance1.8029896
MonotonicityNot monotonic
2024-05-04T06:52:47.342536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.0 5274
52.7%
3.33 2684
26.8%
6.67 1172
 
11.7%
1.67 826
 
8.3%
8.33 34
 
0.3%
10.0 8
 
0.1%
11.67 1
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 826
 
8.3%
3.33 2684
26.8%
5.0 5274
52.7%
6.67 1172
 
11.7%
8.33 34
 
0.3%
10.0 8
 
0.1%
11.67 1
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
11.67 1
 
< 0.1%
10.0 8
 
0.1%
8.33 34
 
0.3%
6.67 1172
 
11.7%
5.0 5274
52.7%
3.33 2684
26.8%
1.67 826
 
8.3%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.476004
Minimum1.67
Maximum16.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:47.662791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q16.67
median8.33
Q38.33
95-th percentile10
Maximum16.67
Range15
Interquartile range (IQR)1.66

Descriptive statistics

Standard deviation1.6824147
Coefficient of variation (CV)0.22504198
Kurtosis0.47195714
Mean7.476004
Median Absolute Deviation (MAD)1.66
Skewness-0.55952381
Sum74760.04
Variance2.8305194
MonotonicityNot monotonic
2024-05-04T06:52:48.083298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8.33 4422
44.2%
6.67 2930
29.3%
10.0 1141
 
11.4%
5.0 932
 
9.3%
3.33 529
 
5.3%
11.67 36
 
0.4%
13.33 6
 
0.1%
16.67 2
 
< 0.1%
1.67 1
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 529
 
5.3%
5.0 932
 
9.3%
6.67 2930
29.3%
8.33 4422
44.2%
10.0 1141
 
11.4%
11.67 36
 
0.4%
13.33 6
 
0.1%
15.0 1
 
< 0.1%
16.67 2
 
< 0.1%
ValueCountFrequency (%)
16.67 2
 
< 0.1%
15.0 1
 
< 0.1%
13.33 6
 
0.1%
11.67 36
 
0.4%
10.0 1141
 
11.4%
8.33 4422
44.2%
6.67 2930
29.3%
5.0 932
 
9.3%
3.33 529
 
5.3%
1.67 1
 
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.828493
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:48.518787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.67
Q110
median11.67
Q311.67
95-th percentile13.33
Maximum20
Range15
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.8345294
Coefficient of variation (CV)0.16941687
Kurtosis1.0636578
Mean10.828493
Median Absolute Deviation (MAD)1.66
Skewness-0.76302171
Sum108284.93
Variance3.3654982
MonotonicityNot monotonic
2024-05-04T06:52:48.827262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11.67 4468
44.7%
10.0 2728
27.3%
13.33 1250
 
12.5%
8.33 787
 
7.9%
6.67 549
 
5.5%
5.0 132
 
1.3%
15.0 76
 
0.8%
18.33 4
 
< 0.1%
16.67 3
 
< 0.1%
20.0 3
 
< 0.1%
ValueCountFrequency (%)
5.0 132
 
1.3%
6.67 549
 
5.5%
8.33 787
 
7.9%
10.0 2728
27.3%
11.67 4468
44.7%
13.33 1250
 
12.5%
15.0 76
 
0.8%
16.67 3
 
< 0.1%
18.33 4
 
< 0.1%
20.0 3
 
< 0.1%
ValueCountFrequency (%)
20.0 3
 
< 0.1%
18.33 4
 
< 0.1%
16.67 3
 
< 0.1%
15.0 76
 
0.8%
13.33 1250
 
12.5%
11.67 4468
44.7%
10.0 2728
27.3%
8.33 787
 
7.9%
6.67 549
 
5.5%
5.0 132
 
1.3%
Distinct1739
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.914097
Minimum0
Maximum60.39
Zeros2017
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:49.086129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.7
median4.54
Q38.5
95-th percentile17.07
Maximum60.39
Range60.39
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation5.7808194
Coefficient of variation (CV)0.97746443
Kurtosis4.5996723
Mean5.914097
Median Absolute Deviation (MAD)2.955
Skewness1.6564058
Sum59140.97
Variance33.417874
MonotonicityNot monotonic
2024-05-04T06:52:49.461660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2017
 
20.2%
1.7 506
 
5.1%
3.4 417
 
4.2%
5.1 348
 
3.5%
6.8 210
 
2.1%
8.5 159
 
1.6%
10.2 102
 
1.0%
11.9 76
 
0.8%
13.6 57
 
0.6%
15.3 40
 
0.4%
Other values (1729) 6068
60.7%
ValueCountFrequency (%)
0.0 2017
20.2%
1.6 3
 
< 0.1%
1.7 506
 
5.1%
1.71 14
 
0.1%
1.72 11
 
0.1%
1.73 9
 
0.1%
1.74 6
 
0.1%
1.75 5
 
0.1%
1.76 17
 
0.2%
1.77 9
 
0.1%
ValueCountFrequency (%)
60.39 1
< 0.1%
50.68 1
< 0.1%
49.77 1
< 0.1%
48.97 1
< 0.1%
44.2 1
< 0.1%
40.62 1
< 0.1%
40.47 1
< 0.1%
40.0 1
< 0.1%
39.1 1
< 0.1%
36.85 1
< 0.1%
Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671498.9
Minimum349344.67
Maximum1011256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:49.875818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum349344.67
5-th percentile534131.92
Q1597558.63
median657227.79
Q3722005.35
95-th percentile880801.98
Maximum1011256
Range661911.36
Interquartile range (IQR)124446.72

Descriptive statistics

Standard deviation101708.52
Coefficient of variation (CV)0.15146491
Kurtosis0.34806416
Mean671498.9
Median Absolute Deviation (MAD)61890.175
Skewness0.75656015
Sum6.714989 × 109
Variance1.0344624 × 1010
MonotonicityNot monotonic
2024-05-04T06:52:50.332182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
633654.34 2
 
< 0.1%
638812.64 2
 
< 0.1%
642898.4 1
 
< 0.1%
636680.43 1
 
< 0.1%
503064.41 1
 
< 0.1%
589016.04 1
 
< 0.1%
957758.43 1
 
< 0.1%
710637.9 1
 
< 0.1%
678606.09 1
 
< 0.1%
712326.86 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
349344.67 1
< 0.1%
359688.0 1
< 0.1%
360433.33 1
< 0.1%
367764.49 1
< 0.1%
374127.45 1
< 0.1%
377094.74 1
< 0.1%
411741.67 1
< 0.1%
417728.99 1
< 0.1%
423133.33 1
< 0.1%
433358.33 1
< 0.1%
ValueCountFrequency (%)
1011256.03 1
< 0.1%
998751.09 1
< 0.1%
996317.82 1
< 0.1%
995704.0 1
< 0.1%
993898.42 1
< 0.1%
993709.67 1
< 0.1%
991809.67 1
< 0.1%
991485.96 1
< 0.1%
991435.04 1
< 0.1%
990208.63 1
< 0.1%
Distinct6177
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500261.65
Minimum234000
Maximum953666.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:50.752275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234000
5-th percentile377430
Q1425266.67
median472750
Q3540675
95-th percentile741981.67
Maximum953666.67
Range719666.67
Interquartile range (IQR)115408.33

Descriptive statistics

Standard deviation109784.02
Coefficient of variation (CV)0.2194532
Kurtosis1.8449568
Mean500261.65
Median Absolute Deviation (MAD)53916.67
Skewness1.3751932
Sum5.0026165 × 109
Variance1.2052531 × 1010
MonotonicityNot monotonic
2024-05-04T06:52:51.191373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
438800.0 8
 
0.1%
446933.33 8
 
0.1%
409100.0 7
 
0.1%
457366.67 7
 
0.1%
437933.33 7
 
0.1%
429166.67 7
 
0.1%
425966.67 7
 
0.1%
425000.0 6
 
0.1%
429533.33 6
 
0.1%
447466.67 6
 
0.1%
Other values (6167) 9931
99.3%
ValueCountFrequency (%)
234000.0 1
< 0.1%
237066.67 1
< 0.1%
237466.67 1
< 0.1%
242466.67 1
< 0.1%
248800.0 1
< 0.1%
258233.33 1
< 0.1%
258466.67 1
< 0.1%
262366.67 1
< 0.1%
272300.0 1
< 0.1%
276600.0 1
< 0.1%
ValueCountFrequency (%)
953666.67 1
< 0.1%
940400.0 1
< 0.1%
940266.67 1
< 0.1%
936533.33 1
< 0.1%
934866.67 1
< 0.1%
934266.67 1
< 0.1%
933366.67 1
< 0.1%
928033.33 1
< 0.1%
924433.33 1
< 0.1%
924066.67 1
< 0.1%
Distinct6988
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649168.43
Minimum300533.33
Maximum1072466.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:51.617363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300533.33
5-th percentile480695
Q1544858.33
median626766.67
Q3717275
95-th percentile932010
Maximum1072466.7
Range771933.34
Interquartile range (IQR)172416.67

Descriptive statistics

Standard deviation134514.05
Coefficient of variation (CV)0.20720978
Kurtosis0.13535892
Mean649168.43
Median Absolute Deviation (MAD)85066.67
Skewness0.83355401
Sum6.4916843 × 109
Variance1.8094029 × 1010
MonotonicityNot monotonic
2024-05-04T06:52:52.082234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
515000.0 7
 
0.1%
559700.0 6
 
0.1%
560100.0 6
 
0.1%
548800.0 6
 
0.1%
534366.67 6
 
0.1%
514000.0 5
 
0.1%
544100.0 5
 
0.1%
515900.0 5
 
0.1%
560966.67 5
 
0.1%
682966.67 5
 
0.1%
Other values (6978) 9944
99.4%
ValueCountFrequency (%)
300533.33 1
< 0.1%
306266.67 1
< 0.1%
333100.0 1
< 0.1%
335900.0 1
< 0.1%
339100.0 1
< 0.1%
355100.0 1
< 0.1%
363366.67 1
< 0.1%
387866.67 1
< 0.1%
394833.33 1
< 0.1%
395833.33 1
< 0.1%
ValueCountFrequency (%)
1072466.67 1
< 0.1%
1070800.0 1
< 0.1%
1067100.0 1
< 0.1%
1057866.67 1
< 0.1%
1053233.33 1
< 0.1%
1051533.33 1
< 0.1%
1051500.0 1
< 0.1%
1049800.0 1
< 0.1%
1048700.0 1
< 0.1%
1047700.0 1
< 0.1%
Distinct7150
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835856.77
Minimum407166.67
Maximum1136233.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:52.526567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum407166.67
5-th percentile643131.66
Q1744600
median830650
Q3920575
95-th percentile1057801.7
Maximum1136233.3
Range729066.66
Interquartile range (IQR)175975

Descriptive statistics

Standard deviation122850.53
Coefficient of variation (CV)0.14697558
Kurtosis-0.51159812
Mean835856.77
Median Absolute Deviation (MAD)88000
Skewness0.13921443
Sum8.3585677 × 109
Variance1.5092253 × 1010
MonotonicityNot monotonic
2024-05-04T06:52:52.975082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
889766.67 7
 
0.1%
772366.67 6
 
0.1%
804600.0 6
 
0.1%
858933.33 6
 
0.1%
887000.0 5
 
0.1%
837966.67 5
 
0.1%
899166.67 5
 
0.1%
746166.67 5
 
0.1%
725133.33 5
 
0.1%
716100.0 5
 
0.1%
Other values (7140) 9945
99.5%
ValueCountFrequency (%)
407166.67 1
< 0.1%
414633.33 1
< 0.1%
420166.67 1
< 0.1%
441766.67 1
< 0.1%
467166.67 1
< 0.1%
467533.33 1
< 0.1%
494400.0 1
< 0.1%
497700.0 1
< 0.1%
517366.67 1
< 0.1%
521866.67 1
< 0.1%
ValueCountFrequency (%)
1136233.33 1
< 0.1%
1135933.33 1
< 0.1%
1134666.67 1
< 0.1%
1134333.33 1
< 0.1%
1131500.0 1
< 0.1%
1130300.0 1
< 0.1%
1130166.67 1
< 0.1%
1129566.67 2
< 0.1%
1126733.33 1
< 0.1%
1126566.67 1
< 0.1%
Distinct2158
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.381545
Minimum0
Maximum81.11
Zeros1193
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:53.406265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.37
median6.8
Q311.9
95-th percentile22.151
Maximum81.11
Range81.11
Interquartile range (IQR)8.53

Descriptive statistics

Standard deviation7.3147043
Coefficient of variation (CV)0.87271551
Kurtosis4.8577137
Mean8.381545
Median Absolute Deviation (MAD)4.095
Skewness1.6019769
Sum83815.45
Variance53.504899
MonotonicityNot monotonic
2024-05-04T06:52:53.870709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1193
 
11.9%
1.7 391
 
3.9%
3.4 382
 
3.8%
5.1 341
 
3.4%
6.8 270
 
2.7%
8.5 194
 
1.9%
10.2 167
 
1.7%
11.9 93
 
0.9%
13.6 85
 
0.9%
15.3 73
 
0.7%
Other values (2148) 6811
68.1%
ValueCountFrequency (%)
0.0 1193
11.9%
1.6 3
 
< 0.1%
1.7 391
 
3.9%
1.71 5
 
0.1%
1.72 8
 
0.1%
1.73 7
 
0.1%
1.74 8
 
0.1%
1.75 7
 
0.1%
1.76 12
 
0.1%
1.77 4
 
< 0.1%
ValueCountFrequency (%)
81.11 1
< 0.1%
70.45 1
< 0.1%
64.0 1
< 0.1%
62.9 1
< 0.1%
61.21 1
< 0.1%
59.15 1
< 0.1%
55.74 1
< 0.1%
53.18 1
< 0.1%
51.0 2
< 0.1%
49.23 1
< 0.1%
Distinct9993
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165774.79
Minimum56722.22
Maximum319265.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:54.310415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56722.22
5-th percentile121056.98
Q1142454.82
median160044.59
Q3182746.46
95-th percentile232533.6
Maximum319265.84
Range262543.62
Interquartile range (IQR)40291.64

Descriptive statistics

Standard deviation33539.949
Coefficient of variation (CV)0.20232238
Kurtosis0.87835686
Mean165774.79
Median Absolute Deviation (MAD)19594.63
Skewness0.88891238
Sum1.6577479 × 109
Variance1.1249282 × 109
MonotonicityNot monotonic
2024-05-04T06:52:54.593688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142736.36 2
 
< 0.1%
175706.67 2
 
< 0.1%
158642.87 2
 
< 0.1%
155305.61 2
 
< 0.1%
165065.49 2
 
< 0.1%
170475.6 2
 
< 0.1%
133143.36 2
 
< 0.1%
185115.25 1
 
< 0.1%
113714.36 1
 
< 0.1%
140987.56 1
 
< 0.1%
Other values (9983) 9983
99.8%
ValueCountFrequency (%)
56722.22 1
< 0.1%
75940.58 1
< 0.1%
76172.0 1
< 0.1%
77199.28 1
< 0.1%
77240.74 1
< 0.1%
78246.38 1
< 0.1%
78814.0 1
< 0.1%
85051.39 1
< 0.1%
85220.83 1
< 0.1%
85703.51 1
< 0.1%
ValueCountFrequency (%)
319265.84 1
< 0.1%
319230.45 1
< 0.1%
306810.05 1
< 0.1%
303590.76 1
< 0.1%
299864.3 1
< 0.1%
298925.67 1
< 0.1%
297570.37 1
< 0.1%
297111.68 1
< 0.1%
297060.11 1
< 0.1%
296444.74 1
< 0.1%
Distinct3375
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101752.81
Minimum7233.33
Maximum280700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:54.839521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7233.33
5-th percentile62700
Q179733.33
median94666.67
Q3115400
95-th percentile170001.67
Maximum280700
Range273466.67
Interquartile range (IQR)35666.67

Descriptive statistics

Standard deviation32635.141
Coefficient of variation (CV)0.32072964
Kurtosis1.9494839
Mean101752.81
Median Absolute Deviation (MAD)17033.33
Skewness1.2443238
Sum1.0175281 × 109
Variance1.0650524 × 109
MonotonicityNot monotonic
2024-05-04T06:52:55.245855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85633.33 13
 
0.1%
88000.0 13
 
0.1%
84333.33 13
 
0.1%
91633.33 13
 
0.1%
76633.33 12
 
0.1%
100566.67 12
 
0.1%
89400.0 12
 
0.1%
91533.33 12
 
0.1%
101033.33 12
 
0.1%
81266.67 11
 
0.1%
Other values (3365) 9877
98.8%
ValueCountFrequency (%)
7233.33 1
< 0.1%
7466.67 1
< 0.1%
8300.0 1
< 0.1%
8800.0 1
< 0.1%
9200.0 1
< 0.1%
9333.33 1
< 0.1%
9966.67 1
< 0.1%
10400.0 1
< 0.1%
12066.67 1
< 0.1%
14400.0 2
< 0.1%
ValueCountFrequency (%)
280700.0 1
< 0.1%
273100.0 1
< 0.1%
254266.67 1
< 0.1%
249800.0 1
< 0.1%
249133.33 1
< 0.1%
247900.0 1
< 0.1%
247233.33 1
< 0.1%
242633.33 1
< 0.1%
240566.67 1
< 0.1%
240133.33 1
< 0.1%
Distinct3867
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157212.53
Minimum31333.33
Maximum340033.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:55.646340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31333.33
5-th percentile106633.33
Q1129900
median149800
Q3176266.67
95-th percentile236535
Maximum340033.33
Range308700
Interquartile range (IQR)46366.67

Descriptive statistics

Standard deviation38916.677
Coefficient of variation (CV)0.24754182
Kurtosis0.95386922
Mean157212.53
Median Absolute Deviation (MAD)22200
Skewness0.95073135
Sum1.5721253 × 109
Variance1.5145077 × 109
MonotonicityNot monotonic
2024-05-04T06:52:55.982321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138866.67 12
 
0.1%
160100.0 11
 
0.1%
135066.67 11
 
0.1%
130766.67 11
 
0.1%
139800.0 11
 
0.1%
119066.67 10
 
0.1%
146900.0 10
 
0.1%
129100.0 10
 
0.1%
144866.67 10
 
0.1%
152866.67 9
 
0.1%
Other values (3857) 9895
99.0%
ValueCountFrequency (%)
31333.33 1
< 0.1%
35366.67 1
< 0.1%
36333.33 1
< 0.1%
43366.67 1
< 0.1%
47766.67 1
< 0.1%
48333.33 1
< 0.1%
49033.33 1
< 0.1%
49400.0 1
< 0.1%
58633.33 1
< 0.1%
59700.0 2
< 0.1%
ValueCountFrequency (%)
340033.33 1
< 0.1%
333133.33 1
< 0.1%
323800.0 1
< 0.1%
323400.0 1
< 0.1%
323366.67 1
< 0.1%
316000.0 1
< 0.1%
311933.33 1
< 0.1%
307833.33 1
< 0.1%
306566.67 1
< 0.1%
305433.33 1
< 0.1%
Distinct4172
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221106.79
Minimum80233.33
Maximum401500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:56.513199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80233.33
5-th percentile163033.33
Q1192058.34
median215516.66
Q3244433.33
95-th percentile300033.33
Maximum401500
Range321266.67
Interquartile range (IQR)52374.995

Descriptive statistics

Standard deviation41220.647
Coefficient of variation (CV)0.18642868
Kurtosis0.44709582
Mean221106.79
Median Absolute Deviation (MAD)25816.665
Skewness0.65355846
Sum2.2110679 × 109
Variance1.6991417 × 109
MonotonicityNot monotonic
2024-05-04T06:52:56.950506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220266.67 11
 
0.1%
218566.67 11
 
0.1%
207000.0 11
 
0.1%
211233.33 10
 
0.1%
236066.67 10
 
0.1%
189000.0 10
 
0.1%
224400.0 9
 
0.1%
190833.33 9
 
0.1%
218600.0 9
 
0.1%
185166.67 9
 
0.1%
Other values (4162) 9901
99.0%
ValueCountFrequency (%)
80233.33 1
< 0.1%
81300.0 1
< 0.1%
100066.67 1
< 0.1%
100566.67 1
< 0.1%
100766.67 1
< 0.1%
101233.33 1
< 0.1%
101500.0 1
< 0.1%
108266.67 1
< 0.1%
108933.33 1
< 0.1%
110300.0 1
< 0.1%
ValueCountFrequency (%)
401500.0 1
< 0.1%
396200.0 1
< 0.1%
391133.33 1
< 0.1%
387133.33 1
< 0.1%
385633.33 1
< 0.1%
380100.0 1
< 0.1%
376966.67 1
< 0.1%
376766.67 1
< 0.1%
374200.0 1
< 0.1%
373266.67 1
< 0.1%
Distinct5880
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.767184
Minimum0
Maximum805.2
Zeros66
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:57.367244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.659
Q135.635
median57.4
Q388.4
95-th percentile170.2775
Maximum805.2
Range805.2
Interquartile range (IQR)52.765

Descriptive statistics

Standard deviation58.998954
Coefficient of variation (CV)0.83370499
Kurtosis14.982033
Mean70.767184
Median Absolute Deviation (MAD)25.19
Skewness3.0103938
Sum707671.84
Variance3480.8766
MonotonicityNot monotonic
2024-05-04T06:52:57.874955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 66
 
0.7%
37.4 57
 
0.6%
47.6 54
 
0.5%
40.8 51
 
0.5%
52.7 50
 
0.5%
57.8 50
 
0.5%
44.2 50
 
0.5%
35.7 49
 
0.5%
66.3 47
 
0.5%
62.9 46
 
0.5%
Other values (5870) 9480
94.8%
ValueCountFrequency (%)
0.0 66
0.7%
1.7 2
 
< 0.1%
1.76 1
 
< 0.1%
2.09 1
 
< 0.1%
2.21 1
 
< 0.1%
2.22 1
 
< 0.1%
2.25 1
 
< 0.1%
2.38 2
 
< 0.1%
2.44 1
 
< 0.1%
2.46 1
 
< 0.1%
ValueCountFrequency (%)
805.2 1
< 0.1%
582.5 1
< 0.1%
569.55 1
< 0.1%
550.38 1
< 0.1%
530.4 1
< 0.1%
513.48 1
< 0.1%
506.6 1
< 0.1%
504.9 2
< 0.1%
495.38 1
< 0.1%
489.6 1
< 0.1%
Distinct9410
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720.12531
Minimum169.52
Maximum1668.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:58.331251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169.52
5-th percentile324.0005
Q1543.4825
median684.81
Q3911.9425
95-th percentile1168.42
Maximum1668.89
Range1499.37
Interquartile range (IQR)368.46

Descriptive statistics

Standard deviation257.67435
Coefficient of variation (CV)0.35781876
Kurtosis-0.55398918
Mean720.12531
Median Absolute Deviation (MAD)170.97
Skewness0.28457862
Sum7201253.1
Variance66396.068
MonotonicityNot monotonic
2024-05-04T06:52:58.726828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
766.67 4
 
< 0.1%
629.84 3
 
< 0.1%
650.0 3
 
< 0.1%
870.09 3
 
< 0.1%
777.78 3
 
< 0.1%
568.22 3
 
< 0.1%
699.77 3
 
< 0.1%
800.0 3
 
< 0.1%
739.32 3
 
< 0.1%
399.51 3
 
< 0.1%
Other values (9400) 9969
99.7%
ValueCountFrequency (%)
169.52 1
< 0.1%
170.1 1
< 0.1%
178.79 1
< 0.1%
183.33 1
< 0.1%
184.86 1
< 0.1%
189.28 1
< 0.1%
190.52 1
< 0.1%
191.62 1
< 0.1%
192.07 1
< 0.1%
192.2 1
< 0.1%
ValueCountFrequency (%)
1668.89 1
< 0.1%
1636.84 1
< 0.1%
1507.71 1
< 0.1%
1467.11 1
< 0.1%
1461.4 1
< 0.1%
1450.43 1
< 0.1%
1436.67 2
< 0.1%
1424.07 1
< 0.1%
1423.07 1
< 0.1%
1421.43 1
< 0.1%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.58014
Minimum33.33
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:59.031660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1166.67
median233.33
Q3333.33
95-th percentile466.67
Maximum1000
Range966.67
Interquartile range (IQR)166.66

Descriptive statistics

Standard deviation127.22225
Coefficient of variation (CV)0.4920032
Kurtosis0.17766742
Mean258.58014
Median Absolute Deviation (MAD)100
Skewness0.56331986
Sum2585801.4
Variance16185.502
MonotonicityNot monotonic
2024-05-04T06:52:59.265355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
166.67 1099
11.0%
200.0 1018
10.2%
233.33 891
8.9%
300.0 886
8.9%
266.67 850
8.5%
133.33 833
8.3%
333.33 789
7.9%
366.67 665
 
6.7%
66.67 628
 
6.3%
100.0 548
 
5.5%
Other values (16) 1793
17.9%
ValueCountFrequency (%)
33.33 108
 
1.1%
66.67 628
6.3%
100.0 548
5.5%
133.33 833
8.3%
166.67 1099
11.0%
200.0 1018
10.2%
233.33 891
8.9%
266.67 850
8.5%
300.0 886
8.9%
333.33 789
7.9%
ValueCountFrequency (%)
1000.0 1
 
< 0.1%
866.67 1
 
< 0.1%
833.33 3
 
< 0.1%
766.67 5
 
0.1%
733.33 4
 
< 0.1%
700.0 10
 
0.1%
666.67 18
 
0.2%
633.33 31
0.3%
600.0 50
0.5%
566.67 67
0.7%
Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.81665
Minimum100
Maximum1900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:52:59.594363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile166.67
Q1366.67
median533.33
Q3700
95-th percentile966.67
Maximum1900
Range1800
Interquartile range (IQR)333.33

Descriptive statistics

Standard deviation234.67737
Coefficient of variation (CV)0.42760615
Kurtosis-0.19717987
Mean548.81665
Median Absolute Deviation (MAD)166.66
Skewness0.34918757
Sum5488166.5
Variance55073.47
MonotonicityNot monotonic
2024-05-04T06:53:00.002347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
400.0 618
 
6.2%
433.33 588
 
5.9%
466.67 546
 
5.5%
566.67 537
 
5.4%
366.67 527
 
5.3%
600.0 521
 
5.2%
500.0 517
 
5.2%
533.33 515
 
5.1%
666.67 446
 
4.5%
633.33 440
 
4.4%
Other values (32) 4745
47.4%
ValueCountFrequency (%)
100.0 126
 
1.3%
133.33 215
 
2.1%
166.67 176
 
1.8%
200.0 254
2.5%
233.33 257
2.6%
266.67 261
2.6%
300.0 320
3.2%
333.33 388
3.9%
366.67 527
5.3%
400.0 618
6.2%
ValueCountFrequency (%)
1900.0 1
 
< 0.1%
1866.67 1
 
< 0.1%
1533.33 1
 
< 0.1%
1366.67 2
 
< 0.1%
1333.33 1
 
< 0.1%
1300.0 1
 
< 0.1%
1266.67 5
 
0.1%
1233.33 11
0.1%
1200.0 11
0.1%
1166.67 21
0.2%
Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.64
Minimum200
Maximum2466.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:00.270946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile433.33
Q1733.33
median933.33
Q31266.67
95-th percentile1666.67
Maximum2466.67
Range2266.67
Interquartile range (IQR)533.34

Descriptive statistics

Standard deviation375.4953
Coefficient of variation (CV)0.37904314
Kurtosis-0.47907273
Mean990.64
Median Absolute Deviation (MAD)233.34
Skewness0.34867515
Sum9906400
Variance140996.72
MonotonicityNot monotonic
2024-05-04T06:53:00.659405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
800.0 473
 
4.7%
900.0 466
 
4.7%
833.33 450
 
4.5%
866.67 448
 
4.5%
766.67 422
 
4.2%
933.33 388
 
3.9%
966.67 385
 
3.9%
733.33 384
 
3.8%
1000.0 323
 
3.2%
1033.33 319
 
3.2%
Other values (51) 5942
59.4%
ValueCountFrequency (%)
200.0 4
 
< 0.1%
233.33 48
 
0.5%
266.67 102
1.0%
300.0 108
1.1%
333.33 80
0.8%
366.67 62
 
0.6%
400.0 87
0.9%
433.33 157
1.6%
466.67 155
1.6%
500.0 161
1.6%
ValueCountFrequency (%)
2466.67 1
 
< 0.1%
2266.67 1
 
< 0.1%
2166.67 1
 
< 0.1%
2100.0 2
 
< 0.1%
2066.67 1
 
< 0.1%
2033.33 3
 
< 0.1%
2000.0 4
 
< 0.1%
1966.67 10
0.1%
1933.33 12
0.1%
1900.0 22
0.2%
Distinct6569
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.43181
Minimum0
Maximum1012.25
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:01.074550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.5795
Q166.3
median102
Q3151.4125
95-th percentile281.894
Maximum1012.25
Range1012.25
Interquartile range (IQR)85.1125

Descriptive statistics

Standard deviation90.765758
Coefficient of variation (CV)0.74135766
Kurtosis11.408867
Mean122.43181
Median Absolute Deviation (MAD)40.575
Skewness2.6543737
Sum1224318.1
Variance8238.4229
MonotonicityNot monotonic
2024-05-04T06:53:01.455944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 39
 
0.4%
90.1 37
 
0.4%
103.7 33
 
0.3%
102.0 33
 
0.3%
110.5 32
 
0.3%
66.3 31
 
0.3%
61.2 31
 
0.3%
93.5 30
 
0.3%
81.6 29
 
0.3%
113.9 28
 
0.3%
Other values (6559) 9677
96.8%
ValueCountFrequency (%)
0.0 17
0.2%
1.7 1
 
< 0.1%
2.44 1
 
< 0.1%
2.69 1
 
< 0.1%
3.19 1
 
< 0.1%
3.4 2
 
< 0.1%
3.64 1
 
< 0.1%
4.09 1
 
< 0.1%
4.13 1
 
< 0.1%
5.26 1
 
< 0.1%
ValueCountFrequency (%)
1012.25 1
< 0.1%
882.3 1
< 0.1%
855.69 1
< 0.1%
845.95 1
< 0.1%
798.74 1
< 0.1%
760.26 1
< 0.1%
758.2 1
< 0.1%
744.6 1
< 0.1%
742.54 1
< 0.1%
741.2 1
< 0.1%
Distinct8378
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.1713
Minimum83.33
Maximum696.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:01.710081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.33
5-th percentile189.2285
Q1299.2525
median351.9
Q3410.61
95-th percentile475
Maximum696.3
Range612.97
Interquartile range (IQR)111.3575

Descriptive statistics

Standard deviation84.442739
Coefficient of variation (CV)0.24183757
Kurtosis-0.11275078
Mean349.1713
Median Absolute Deviation (MAD)55.94
Skewness-0.32504677
Sum3491713
Variance7130.5761
MonotonicityNot monotonic
2024-05-04T06:53:01.968894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333.33 10
 
0.1%
300.0 9
 
0.1%
316.67 6
 
0.1%
413.33 5
 
0.1%
366.67 5
 
0.1%
322.22 5
 
0.1%
361.11 5
 
0.1%
355.56 5
 
0.1%
327.78 5
 
0.1%
400.0 5
 
0.1%
Other values (8368) 9940
99.4%
ValueCountFrequency (%)
83.33 1
< 0.1%
91.11 1
< 0.1%
106.22 1
< 0.1%
112.23 1
< 0.1%
115.36 1
< 0.1%
119.34 1
< 0.1%
120.88 1
< 0.1%
121.33 1
< 0.1%
123.68 1
< 0.1%
124.7 1
< 0.1%
ValueCountFrequency (%)
696.3 1
< 0.1%
688.89 1
< 0.1%
633.33 1
< 0.1%
628.89 1
< 0.1%
608.33 1
< 0.1%
590.76 1
< 0.1%
588.24 1
< 0.1%
584.47 1
< 0.1%
575.85 1
< 0.1%
572.82 1
< 0.1%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.53661
Minimum33.33
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:02.331934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1100
median133.33
Q3166.67
95-th percentile200
Maximum400
Range366.67
Interquartile range (IQR)66.67

Descriptive statistics

Standard deviation46.087622
Coefficient of variation (CV)0.36136779
Kurtosis-0.13568319
Mean127.53661
Median Absolute Deviation (MAD)33.33
Skewness0.07652603
Sum1275366.1
Variance2124.0689
MonotonicityNot monotonic
2024-05-04T06:53:02.699103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
133.33 2726
27.3%
100.0 2455
24.6%
166.67 2060
20.6%
66.67 1170
11.7%
200.0 870
 
8.7%
33.33 489
 
4.9%
233.33 208
 
2.1%
266.67 16
 
0.2%
300.0 4
 
< 0.1%
366.67 1
 
< 0.1%
ValueCountFrequency (%)
33.33 489
 
4.9%
66.67 1170
11.7%
100.0 2455
24.6%
133.33 2726
27.3%
166.67 2060
20.6%
200.0 870
 
8.7%
233.33 208
 
2.1%
266.67 16
 
0.2%
300.0 4
 
< 0.1%
366.67 1
 
< 0.1%
ValueCountFrequency (%)
400.0 1
 
< 0.1%
366.67 1
 
< 0.1%
300.0 4
 
< 0.1%
266.67 16
 
0.2%
233.33 208
 
2.1%
200.0 870
 
8.7%
166.67 2060
20.6%
133.33 2726
27.3%
100.0 2455
24.6%
66.67 1170
11.7%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.37983
Minimum33.33
Maximum766.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:02.940048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile100
Q1200
median266.67
Q3333.33
95-th percentile400
Maximum766.67
Range733.34
Interquartile range (IQR)133.33

Descriptive statistics

Standard deviation82.044362
Coefficient of variation (CV)0.30799766
Kurtosis-0.15777563
Mean266.37983
Median Absolute Deviation (MAD)66.66
Skewness-0.19568822
Sum2663798.3
Variance6731.2774
MonotonicityNot monotonic
2024-05-04T06:53:03.170568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
233.33 1577
15.8%
266.67 1518
15.2%
300.0 1504
15.0%
333.33 1342
13.4%
200.0 1002
10.0%
366.67 898
9.0%
166.67 493
 
4.9%
133.33 487
 
4.9%
400.0 433
 
4.3%
100.0 432
 
4.3%
Other values (8) 314
 
3.1%
ValueCountFrequency (%)
33.33 3
 
< 0.1%
66.67 104
 
1.0%
100.0 432
 
4.3%
133.33 487
 
4.9%
166.67 493
 
4.9%
200.0 1002
10.0%
233.33 1577
15.8%
266.67 1518
15.2%
300.0 1504
15.0%
333.33 1342
13.4%
ValueCountFrequency (%)
766.67 1
 
< 0.1%
600.0 2
 
< 0.1%
533.33 2
 
< 0.1%
500.0 7
 
0.1%
466.67 38
 
0.4%
433.33 157
 
1.6%
400.0 433
 
4.3%
366.67 898
9.0%
333.33 1342
13.4%
300.0 1504
15.0%
Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.03669
Minimum66.67
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:03.470052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.67
5-th percentile233.33
Q1400
median500
Q3566.67
95-th percentile666.67
Maximum1200
Range1133.33
Interquartile range (IQR)166.67

Descriptive statistics

Standard deviation125.87166
Coefficient of variation (CV)0.26112464
Kurtosis0.061307255
Mean482.03669
Median Absolute Deviation (MAD)66.67
Skewness-0.27367881
Sum4820366.9
Variance15843.674
MonotonicityNot monotonic
2024-05-04T06:53:03.847718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
466.67 1100
11.0%
433.33 1094
10.9%
500.0 1038
10.4%
566.67 955
9.6%
533.33 928
9.3%
600.0 833
8.3%
400.0 794
7.9%
633.33 600
 
6.0%
366.67 482
 
4.8%
666.67 366
 
3.7%
Other values (18) 1810
18.1%
ValueCountFrequency (%)
66.67 1
 
< 0.1%
133.33 10
 
0.1%
166.67 106
 
1.1%
200.0 223
 
2.2%
233.33 205
 
2.1%
266.67 273
 
2.7%
300.0 286
 
2.9%
333.33 317
 
3.2%
366.67 482
4.8%
400.0 794
7.9%
ValueCountFrequency (%)
1200.0 1
 
< 0.1%
1066.67 2
 
< 0.1%
966.67 1
 
< 0.1%
900.0 1
 
< 0.1%
866.67 1
 
< 0.1%
833.33 6
 
0.1%
800.0 21
 
0.2%
766.67 53
 
0.5%
733.33 101
1.0%
700.0 202
2.0%
Distinct6516
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.73387
Minimum0
Maximum987.7
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:04.260064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.82
Q153.315
median86.19
Q3135.8525
95-th percentile276.1125
Maximum987.7
Range987.7
Interquartile range (IQR)82.5375

Descriptive statistics

Standard deviation91.852907
Coefficient of variation (CV)0.83705158
Kurtosis12.473377
Mean109.73387
Median Absolute Deviation (MAD)38.185
Skewness2.8035097
Sum1097338.7
Variance8436.9566
MonotonicityNot monotonic
2024-05-04T06:53:04.711197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.6 37
 
0.4%
54.4 37
 
0.4%
51.0 36
 
0.4%
56.1 34
 
0.3%
71.4 34
 
0.3%
66.3 33
 
0.3%
74.8 31
 
0.3%
62.9 31
 
0.3%
49.3 31
 
0.3%
61.2 30
 
0.3%
Other values (6506) 9666
96.7%
ValueCountFrequency (%)
0.0 24
0.2%
1.7 2
 
< 0.1%
2.44 1
 
< 0.1%
2.6 1
 
< 0.1%
3.03 1
 
< 0.1%
3.4 2
 
< 0.1%
3.52 1
 
< 0.1%
3.71 1
 
< 0.1%
4.14 1
 
< 0.1%
4.44 1
 
< 0.1%
ValueCountFrequency (%)
987.7 1
< 0.1%
966.24 1
< 0.1%
933.86 1
< 0.1%
924.23 1
< 0.1%
865.29 1
< 0.1%
822.8 1
< 0.1%
782.0 1
< 0.1%
771.8 1
< 0.1%
760.86 1
< 0.1%
751.27 1
< 0.1%
Distinct1001
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.863231
Minimum3.33
Maximum16.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:05.125176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5.97
Q18.38
median10.055
Q311.51
95-th percentile13.04
Maximum16.11
Range12.78
Interquartile range (IQR)3.13

Descriptive statistics

Standard deviation2.150796
Coefficient of variation (CV)0.21806202
Kurtosis-0.55901237
Mean9.863231
Median Absolute Deviation (MAD)1.545
Skewness-0.33121249
Sum98632.31
Variance4.6259236
MonotonicityNot monotonic
2024-05-04T06:53:05.552419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2 27
 
0.3%
10.53 26
 
0.3%
10.48 26
 
0.3%
11.42 25
 
0.2%
11.25 25
 
0.2%
9.75 25
 
0.2%
11.32 25
 
0.2%
10.9 25
 
0.2%
9.93 25
 
0.2%
10.97 25
 
0.2%
Other values (991) 9746
97.5%
ValueCountFrequency (%)
3.33 1
 
< 0.1%
3.49 1
 
< 0.1%
3.73 1
 
< 0.1%
3.88 1
 
< 0.1%
3.92 1
 
< 0.1%
4.17 3
< 0.1%
4.2 1
 
< 0.1%
4.25 2
< 0.1%
4.26 1
 
< 0.1%
4.28 3
< 0.1%
ValueCountFrequency (%)
16.11 1
< 0.1%
15.49 1
< 0.1%
15.3 1
< 0.1%
15.14 1
< 0.1%
15.07 1
< 0.1%
15.0 1
< 0.1%
14.86 1
< 0.1%
14.69 1
< 0.1%
14.6 1
< 0.1%
14.51 1
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.632993
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:05.920557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median5
Q36.67
95-th percentile10
Maximum15
Range13.33
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation2.6136549
Coefficient of variation (CV)0.46399043
Kurtosis-0.31532721
Mean5.632993
Median Absolute Deviation (MAD)1.67
Skewness0.5331798
Sum56329.93
Variance6.8311918
MonotonicityNot monotonic
2024-05-04T06:53:06.290307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3.33 2469
24.7%
5.0 2366
23.7%
6.67 1935
19.4%
8.33 1204
12.0%
1.67 918
 
9.2%
10.0 720
 
7.2%
11.67 342
 
3.4%
13.33 43
 
0.4%
15.0 3
 
< 0.1%
ValueCountFrequency (%)
1.67 918
 
9.2%
3.33 2469
24.7%
5.0 2366
23.7%
6.67 1935
19.4%
8.33 1204
12.0%
10.0 720
 
7.2%
11.67 342
 
3.4%
13.33 43
 
0.4%
15.0 3
 
< 0.1%
ValueCountFrequency (%)
15.0 3
 
< 0.1%
13.33 43
 
0.4%
11.67 342
 
3.4%
10.0 720
 
7.2%
8.33 1204
12.0%
6.67 1935
19.4%
5.0 2366
23.7%
3.33 2469
24.7%
1.67 918
 
9.2%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.999623
Minimum1.67
Maximum16.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:06.622585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile5
Q16.67
median10
Q313.33
95-th percentile15
Maximum16.67
Range15
Interquartile range (IQR)6.66

Descriptive statistics

Standard deviation3.3437151
Coefficient of variation (CV)0.33438412
Kurtosis-0.98557008
Mean9.999623
Median Absolute Deviation (MAD)3.33
Skewness-0.29684402
Sum99996.23
Variance11.180431
MonotonicityNot monotonic
2024-05-04T06:53:07.018261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13.33 2077
20.8%
11.67 1624
16.2%
10.0 1440
14.4%
8.33 1375
13.8%
6.67 1125
11.2%
5.0 1020
10.2%
15.0 885
8.8%
3.33 441
 
4.4%
16.67 9
 
0.1%
1.67 4
 
< 0.1%
ValueCountFrequency (%)
1.67 4
 
< 0.1%
3.33 441
 
4.4%
5.0 1020
10.2%
6.67 1125
11.2%
8.33 1375
13.8%
10.0 1440
14.4%
11.67 1624
16.2%
13.33 2077
20.8%
15.0 885
8.8%
16.67 9
 
0.1%
ValueCountFrequency (%)
16.67 9
 
0.1%
15.0 885
8.8%
13.33 2077
20.8%
11.67 1624
16.2%
10.0 1440
14.4%
8.33 1375
13.8%
6.67 1125
11.2%
5.0 1020
10.2%
3.33 441
 
4.4%
1.67 4
 
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.990699
Minimum3.33
Maximum18.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:07.345020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q113.33
median15
Q315
95-th percentile16.67
Maximum18.33
Range15
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation2.5430977
Coefficient of variation (CV)0.18177059
Kurtosis1.0221984
Mean13.990699
Median Absolute Deviation (MAD)1.67
Skewness-1.1963163
Sum139906.99
Variance6.4673457
MonotonicityNot monotonic
2024-05-04T06:53:07.699370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
15.0 3673
36.7%
16.67 2306
23.1%
13.33 1879
18.8%
11.67 854
 
8.5%
10.0 571
 
5.7%
8.33 411
 
4.1%
6.67 250
 
2.5%
5.0 33
 
0.3%
18.33 21
 
0.2%
3.33 2
 
< 0.1%
ValueCountFrequency (%)
3.33 2
 
< 0.1%
5.0 33
 
0.3%
6.67 250
 
2.5%
8.33 411
 
4.1%
10.0 571
 
5.7%
11.67 854
 
8.5%
13.33 1879
18.8%
15.0 3673
36.7%
16.67 2306
23.1%
18.33 21
 
0.2%
ValueCountFrequency (%)
18.33 21
 
0.2%
16.67 2306
23.1%
15.0 3673
36.7%
13.33 1879
18.8%
11.67 854
 
8.5%
10.0 571
 
5.7%
8.33 411
 
4.1%
6.67 250
 
2.5%
5.0 33
 
0.3%
3.33 2
 
< 0.1%
Distinct5089
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.887174
Minimum0
Maximum448.61
Zeros118
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:08.177853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.789
Q122.1
median35.985
Q355.02
95-th percentile115.983
Maximum448.61
Range448.61
Interquartile range (IQR)32.92

Descriptive statistics

Standard deviation42.125846
Coefficient of variation (CV)0.91803095
Kurtosis16.890521
Mean45.887174
Median Absolute Deviation (MAD)15.83
Skewness3.3726238
Sum458871.74
Variance1774.5869
MonotonicityNot monotonic
2024-05-04T06:53:08.942111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 118
 
1.2%
25.5 84
 
0.8%
28.9 80
 
0.8%
27.2 80
 
0.8%
34.0 80
 
0.8%
22.1 78
 
0.8%
23.8 77
 
0.8%
30.6 77
 
0.8%
37.4 72
 
0.7%
39.1 71
 
0.7%
Other values (5079) 9183
91.8%
ValueCountFrequency (%)
0.0 118
1.2%
1.7 5
 
0.1%
1.8 1
 
< 0.1%
1.93 1
 
< 0.1%
2.09 1
 
< 0.1%
2.29 1
 
< 0.1%
2.37 1
 
< 0.1%
2.39 1
 
< 0.1%
2.42 1
 
< 0.1%
2.53 1
 
< 0.1%
ValueCountFrequency (%)
448.61 1
< 0.1%
443.7 1
< 0.1%
403.64 1
< 0.1%
399.3 1
< 0.1%
398.04 1
< 0.1%
396.5 1
< 0.1%
391.0 1
< 0.1%
383.12 1
< 0.1%
370.6 1
< 0.1%
365.5 1
< 0.1%
Distinct3929
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.861346
Minimum17.38
Maximum101.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:09.282635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.38
5-th percentile29.4795
Q135.94
median40.7
Q356.42
95-th percentile72.3405
Maximum101.79
Range84.41
Interquartile range (IQR)20.48

Descriptive statistics

Standard deviation13.808024
Coefficient of variation (CV)0.30108196
Kurtosis-0.49095011
Mean45.861346
Median Absolute Deviation (MAD)6.47
Skewness0.83205166
Sum458613.46
Variance190.66152
MonotonicityNot monotonic
2024-05-04T06:53:09.654386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.81 14
 
0.1%
36.12 14
 
0.1%
37.19 13
 
0.1%
35.44 13
 
0.1%
38.82 13
 
0.1%
40.56 13
 
0.1%
38.28 13
 
0.1%
37.89 12
 
0.1%
37.38 12
 
0.1%
37.03 11
 
0.1%
Other values (3919) 9872
98.7%
ValueCountFrequency (%)
17.38 1
< 0.1%
21.9 1
< 0.1%
22.5 2
< 0.1%
23.84 1
< 0.1%
24.19 1
< 0.1%
24.37 1
< 0.1%
24.41 1
< 0.1%
25.01 1
< 0.1%
25.05 1
< 0.1%
25.21 1
< 0.1%
ValueCountFrequency (%)
101.79 1
< 0.1%
96.79 1
< 0.1%
95.26 1
< 0.1%
94.08 1
< 0.1%
93.21 1
< 0.1%
93.17 1
< 0.1%
86.94 1
< 0.1%
86.67 1
< 0.1%
86.25 1
< 0.1%
85.4 1
< 0.1%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.922601
Minimum5
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:10.018801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile16.67
Q121.67
median26.67
Q331.67
95-th percentile36.67
Maximum65
Range60
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.4701307
Coefficient of variation (CV)0.24032339
Kurtosis-0.4665268
Mean26.922601
Median Absolute Deviation (MAD)5
Skewness-0.16915944
Sum269226.01
Variance41.862591
MonotonicityNot monotonic
2024-05-04T06:53:10.401744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
26.67 1107
11.1%
31.67 1027
10.3%
28.33 924
9.2%
33.33 888
8.9%
30.0 784
 
7.8%
25.0 768
 
7.7%
35.0 637
 
6.4%
20.0 633
 
6.3%
18.33 611
 
6.1%
23.33 538
 
5.4%
Other values (19) 2083
20.8%
ValueCountFrequency (%)
5.0 2
 
< 0.1%
8.33 2
 
< 0.1%
10.0 9
 
0.1%
11.67 42
 
0.4%
13.33 144
 
1.4%
15.0 266
2.7%
16.67 441
4.4%
18.33 611
6.1%
20.0 633
6.3%
21.67 527
5.3%
ValueCountFrequency (%)
65.0 1
 
< 0.1%
58.33 1
 
< 0.1%
50.0 2
 
< 0.1%
48.33 4
 
< 0.1%
46.67 3
 
< 0.1%
45.0 5
 
0.1%
43.33 14
 
0.1%
41.67 25
 
0.2%
40.0 64
0.6%
38.33 137
1.4%
Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.196748
Minimum11.67
Maximum121.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:10.940272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.67
5-th percentile28.33
Q131.67
median35
Q345
95-th percentile60
Maximum121.67
Range110
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation10.598262
Coefficient of variation (CV)0.27038625
Kurtosis1.1248538
Mean39.196748
Median Absolute Deviation (MAD)5
Skewness1.2078201
Sum391967.48
Variance112.32315
MonotonicityNot monotonic
2024-05-04T06:53:11.343570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
33.33 1322
13.2%
35.0 1104
 
11.0%
31.67 1004
 
10.0%
36.67 833
 
8.3%
30.0 820
 
8.2%
28.33 632
 
6.3%
38.33 563
 
5.6%
40.0 355
 
3.5%
26.67 270
 
2.7%
51.67 263
 
2.6%
Other values (35) 2834
28.3%
ValueCountFrequency (%)
11.67 1
 
< 0.1%
20.0 3
 
< 0.1%
21.67 7
 
0.1%
23.33 17
 
0.2%
25.0 106
 
1.1%
26.67 270
 
2.7%
28.33 632
6.3%
30.0 820
8.2%
31.67 1004
10.0%
33.33 1322
13.2%
ValueCountFrequency (%)
121.67 1
 
< 0.1%
103.33 1
 
< 0.1%
101.67 1
 
< 0.1%
98.33 1
 
< 0.1%
90.0 1
 
< 0.1%
83.33 4
< 0.1%
81.67 2
 
< 0.1%
80.0 3
< 0.1%
78.33 2
 
< 0.1%
76.67 7
0.1%
Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.983991
Minimum26.67
Maximum141.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:11.757670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.67
5-th percentile35
Q141.67
median48.33
Q370
95-th percentile111.67
Maximum141.67
Range115
Interquartile range (IQR)28.33

Descriptive statistics

Standard deviation25.278586
Coefficient of variation (CV)0.42856691
Kurtosis0.29457583
Mean58.983991
Median Absolute Deviation (MAD)8.33
Skewness1.2273281
Sum589839.91
Variance639.00693
MonotonicityNot monotonic
2024-05-04T06:53:12.374639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.67 782
 
7.8%
40.0 780
 
7.8%
43.33 688
 
6.9%
45.0 584
 
5.8%
38.33 579
 
5.8%
46.67 516
 
5.2%
36.67 466
 
4.7%
48.33 401
 
4.0%
50.0 354
 
3.5%
51.67 334
 
3.3%
Other values (60) 4516
45.2%
ValueCountFrequency (%)
26.67 1
 
< 0.1%
28.33 2
 
< 0.1%
30.0 1
 
< 0.1%
31.67 15
 
0.1%
33.33 262
 
2.6%
35.0 258
 
2.6%
36.67 466
4.7%
38.33 579
5.8%
40.0 780
7.8%
41.67 782
7.8%
ValueCountFrequency (%)
141.67 17
0.2%
140.0 4
 
< 0.1%
138.33 6
 
0.1%
136.67 9
0.1%
135.0 5
 
0.1%
133.33 3
 
< 0.1%
131.67 11
0.1%
130.0 15
0.1%
128.33 17
0.2%
126.67 21
0.2%
Distinct6309
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.03918
Minimum0
Maximum1223.9
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:12.930746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6285
Q136.855
median69.505
Q3115.3775
95-th percentile307.785
Maximum1223.9
Range1223.9
Interquartile range (IQR)78.5225

Descriptive statistics

Standard deviation113.61812
Coefficient of variation (CV)1.1472037
Kurtosis16.338431
Mean99.03918
Median Absolute Deviation (MAD)37.285
Skewness3.4883431
Sum990391.8
Variance12909.076
MonotonicityNot monotonic
2024-05-04T06:53:13.498113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 80
 
0.8%
68.0 39
 
0.4%
78.2 34
 
0.3%
39.1 31
 
0.3%
56.1 31
 
0.3%
45.9 29
 
0.3%
95.2 29
 
0.3%
113.9 28
 
0.3%
83.3 28
 
0.3%
86.7 27
 
0.3%
Other values (6299) 9644
96.4%
ValueCountFrequency (%)
0.0 80
0.8%
1.7 5
 
0.1%
2.22 1
 
< 0.1%
2.36 1
 
< 0.1%
2.38 1
 
< 0.1%
2.41 1
 
< 0.1%
2.45 1
 
< 0.1%
2.47 1
 
< 0.1%
2.51 1
 
< 0.1%
2.57 1
 
< 0.1%
ValueCountFrequency (%)
1223.9 1
< 0.1%
1120.3 1
< 0.1%
1012.72 1
< 0.1%
992.01 1
< 0.1%
979.2 1
< 0.1%
973.22 1
< 0.1%
970.7 1
< 0.1%
967.28 1
< 0.1%
962.69 1
< 0.1%
955.38 1
< 0.1%
Distinct7347
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.23634
Minimum9.93
Maximum247.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:14.185850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.93
5-th percentile24.479
Q160.4225
median113.395
Q3147.1325
95-th percentile171.1405
Maximum247.22
Range237.29
Interquartile range (IQR)86.71

Descriptive statistics

Standard deviation48.814115
Coefficient of variation (CV)0.46385226
Kurtosis-1.2027827
Mean105.23634
Median Absolute Deviation (MAD)39.645
Skewness-0.3024618
Sum1052363.4
Variance2382.8178
MonotonicityNot monotonic
2024-05-04T06:53:14.646010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.68 7
 
0.1%
136.89 6
 
0.1%
147.73 6
 
0.1%
32.1 5
 
0.1%
131.51 5
 
0.1%
127.67 5
 
0.1%
137.84 5
 
0.1%
148.62 5
 
0.1%
170.28 5
 
0.1%
66.8 5
 
0.1%
Other values (7337) 9946
99.5%
ValueCountFrequency (%)
9.93 1
< 0.1%
12.64 1
< 0.1%
13.24 1
< 0.1%
13.39 1
< 0.1%
13.87 1
< 0.1%
14.18 1
< 0.1%
14.25 1
< 0.1%
14.35 1
< 0.1%
14.68 1
< 0.1%
14.69 1
< 0.1%
ValueCountFrequency (%)
247.22 1
< 0.1%
205.38 1
< 0.1%
200.61 1
< 0.1%
197.55 1
< 0.1%
195.87 1
< 0.1%
194.79 1
< 0.1%
194.01 1
< 0.1%
193.67 1
< 0.1%
192.79 1
< 0.1%
192.4 1
< 0.1%
Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.106556
Minimum1.67
Maximum203.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:15.060202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q111.67
median45
Q370
95-th percentile91.67
Maximum203.33
Range201.66
Interquartile range (IQR)58.33

Descriptive statistics

Standard deviation30.805461
Coefficient of variation (CV)0.69843269
Kurtosis-1.2000198
Mean44.106556
Median Absolute Deviation (MAD)28.33
Skewness0.15314394
Sum441065.56
Variance948.9764
MonotonicityNot monotonic
2024-05-04T06:53:15.540632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.33 708
 
7.1%
5.0 422
 
4.2%
6.67 329
 
3.3%
8.33 313
 
3.1%
10.0 269
 
2.7%
1.67 248
 
2.5%
11.67 215
 
2.1%
68.33 205
 
2.1%
70.0 199
 
2.0%
71.67 187
 
1.9%
Other values (66) 6905
69.0%
ValueCountFrequency (%)
1.67 248
 
2.5%
3.33 708
7.1%
5.0 422
4.2%
6.67 329
3.3%
8.33 313
3.1%
10.0 269
 
2.7%
11.67 215
 
2.1%
13.33 167
 
1.7%
15.0 168
 
1.7%
16.67 175
 
1.8%
ValueCountFrequency (%)
203.33 1
 
< 0.1%
126.67 1
 
< 0.1%
123.33 2
 
< 0.1%
121.67 1
 
< 0.1%
120.0 4
< 0.1%
118.33 2
 
< 0.1%
116.67 6
0.1%
115.0 5
0.1%
113.33 7
0.1%
111.67 4
< 0.1%
Distinct122
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.785351
Minimum3.33
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:15.999444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile10
Q138.33
median94.165
Q3131.67
95-th percentile163.33
Maximum220
Range216.67
Interquartile range (IQR)93.34

Descriptive statistics

Standard deviation51.365663
Coefficient of variation (CV)0.58512796
Kurtosis-1.258336
Mean87.785351
Median Absolute Deviation (MAD)44.165
Skewness-0.092635038
Sum877853.51
Variance2638.4314
MonotonicityNot monotonic
2024-05-04T06:53:16.345591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 243
 
2.4%
6.67 180
 
1.8%
10.0 171
 
1.7%
11.67 169
 
1.7%
128.33 147
 
1.5%
141.67 145
 
1.5%
16.67 141
 
1.4%
13.33 140
 
1.4%
126.67 140
 
1.4%
133.33 138
 
1.4%
Other values (112) 8386
83.9%
ValueCountFrequency (%)
3.33 3
 
< 0.1%
5.0 56
 
0.6%
6.67 180
1.8%
8.33 243
2.4%
10.0 171
1.7%
11.67 169
1.7%
13.33 140
1.4%
15.0 128
1.3%
16.67 141
1.4%
18.33 128
1.3%
ValueCountFrequency (%)
220.0 1
 
< 0.1%
210.0 1
 
< 0.1%
201.67 1
 
< 0.1%
200.0 1
 
< 0.1%
198.33 1
 
< 0.1%
196.67 1
 
< 0.1%
195.0 4
< 0.1%
193.33 1
 
< 0.1%
191.67 3
< 0.1%
190.0 5
0.1%
Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.39215
Minimum10
Maximum326.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:16.632496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28.33
Q183.33
median160
Q3215
95-th percentile256.67
Maximum326.67
Range316.67
Interquartile range (IQR)131.67

Descriptive statistics

Standard deviation74.966882
Coefficient of variation (CV)0.49518341
Kurtosis-1.1760612
Mean151.39215
Median Absolute Deviation (MAD)63.33
Skewness-0.21504961
Sum1513921.5
Variance5620.0334
MonotonicityNot monotonic
2024-05-04T06:53:17.035718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221.67 111
 
1.1%
28.33 110
 
1.1%
206.67 106
 
1.1%
196.67 106
 
1.1%
216.67 104
 
1.0%
193.33 103
 
1.0%
198.33 101
 
1.0%
210.0 101
 
1.0%
225.0 100
 
1.0%
205.0 100
 
1.0%
Other values (173) 8958
89.6%
ValueCountFrequency (%)
10.0 1
 
< 0.1%
13.33 2
 
< 0.1%
15.0 13
 
0.1%
16.67 12
 
0.1%
18.33 27
 
0.3%
20.0 49
0.5%
21.67 66
0.7%
23.33 71
0.7%
25.0 92
0.9%
26.67 84
0.8%
ValueCountFrequency (%)
326.67 1
 
< 0.1%
321.67 1
 
< 0.1%
320.0 1
 
< 0.1%
318.33 2
 
< 0.1%
310.0 1
 
< 0.1%
308.33 1
 
< 0.1%
305.0 2
 
< 0.1%
303.33 2
 
< 0.1%
301.67 5
0.1%
300.0 4
< 0.1%
Distinct5264
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.417745
Minimum0
Maximum641.86
Zeros173
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:17.490603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8095
Q121.5325
median37.675
Q361.2
95-th percentile150.054
Maximum641.86
Range641.86
Interquartile range (IQR)39.6675

Descriptive statistics

Standard deviation59.056078
Coefficient of variation (CV)1.1266429
Kurtosis19.730835
Mean52.417745
Median Absolute Deviation (MAD)18.595
Skewness3.8079999
Sum524177.45
Variance3487.6204
MonotonicityNot monotonic
2024-05-04T06:53:18.034642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 173
 
1.7%
32.3 70
 
0.7%
23.8 69
 
0.7%
30.6 67
 
0.7%
25.5 65
 
0.7%
39.1 64
 
0.6%
28.9 61
 
0.6%
44.2 61
 
0.6%
27.2 60
 
0.6%
34.0 59
 
0.6%
Other values (5254) 9251
92.5%
ValueCountFrequency (%)
0.0 173
1.7%
1.7 8
 
0.1%
1.72 1
 
< 0.1%
1.8 1
 
< 0.1%
1.84 1
 
< 0.1%
1.86 1
 
< 0.1%
2.16 1
 
< 0.1%
2.21 1
 
< 0.1%
2.22 1
 
< 0.1%
2.23 1
 
< 0.1%
ValueCountFrequency (%)
641.86 1
< 0.1%
593.3 1
< 0.1%
570.41 1
< 0.1%
563.23 1
< 0.1%
550.74 1
< 0.1%
549.1 1
< 0.1%
537.2 2
< 0.1%
527.41 1
< 0.1%
527.15 1
< 0.1%
520.2 1
< 0.1%
Distinct7926
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.5827
Minimum14.17
Maximum310.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:18.594945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.17
5-th percentile32.6995
Q183.92
median145.11
Q3190.2325
95-th percentile224.68
Maximum310.83
Range296.66
Interquartile range (IQR)106.3125

Descriptive statistics

Standard deviation61.505838
Coefficient of variation (CV)0.44704631
Kurtosis-1.1176128
Mean137.5827
Median Absolute Deviation (MAD)49.66
Skewness-0.25889028
Sum1375827
Variance3782.9681
MonotonicityNot monotonic
2024-05-04T06:53:19.287648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211.69 4
 
< 0.1%
131.48 4
 
< 0.1%
50.99 4
 
< 0.1%
183.79 4
 
< 0.1%
74.92 4
 
< 0.1%
29.0 4
 
< 0.1%
126.3 4
 
< 0.1%
183.04 4
 
< 0.1%
195.69 4
 
< 0.1%
48.16 4
 
< 0.1%
Other values (7916) 9960
99.6%
ValueCountFrequency (%)
14.17 1
< 0.1%
19.11 1
< 0.1%
20.03 1
< 0.1%
20.76 1
< 0.1%
20.86 1
< 0.1%
20.94 1
< 0.1%
21.34 1
< 0.1%
21.54 1
< 0.1%
21.98 1
< 0.1%
22.15 1
< 0.1%
ValueCountFrequency (%)
310.83 1
< 0.1%
287.78 1
< 0.1%
260.39 1
< 0.1%
256.85 1
< 0.1%
256.0 1
< 0.1%
255.41 1
< 0.1%
253.58 1
< 0.1%
252.51 1
< 0.1%
252.47 1
< 0.1%
251.74 1
< 0.1%
Distinct90
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.041039
Minimum1.67
Maximum185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:20.025053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile8.33
Q126.67
median56.67
Q385
95-th percentile113.33
Maximum185
Range183.33
Interquartile range (IQR)58.33

Descriptive statistics

Standard deviation33.970105
Coefficient of variation (CV)0.59553797
Kurtosis-1.0696797
Mean57.041039
Median Absolute Deviation (MAD)30
Skewness0.18651589
Sum570410.39
Variance1153.968
MonotonicityNot monotonic
2024-05-04T06:53:20.597383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.67 269
 
2.7%
8.33 261
 
2.6%
18.33 217
 
2.2%
28.33 208
 
2.1%
11.67 203
 
2.0%
10.0 201
 
2.0%
21.67 197
 
2.0%
15.0 187
 
1.9%
26.67 185
 
1.8%
20.0 178
 
1.8%
Other values (80) 7894
78.9%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 3
 
< 0.1%
5.0 116
1.2%
6.67 269
2.7%
8.33 261
2.6%
10.0 201
2.0%
11.67 203
2.0%
13.33 156
1.6%
15.0 187
1.9%
16.67 178
1.8%
ValueCountFrequency (%)
185.0 1
 
< 0.1%
173.33 1
 
< 0.1%
150.0 2
< 0.1%
145.0 2
< 0.1%
143.33 1
 
< 0.1%
141.67 2
< 0.1%
140.0 3
< 0.1%
138.33 4
< 0.1%
136.67 4
< 0.1%
135.0 4
< 0.1%
Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.48585
Minimum6.67
Maximum313.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:21.152108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile18.33
Q153.33
median115
Q3165
95-th percentile203.33
Maximum313.33
Range306.66
Interquartile range (IQR)111.67

Descriptive statistics

Standard deviation61.165147
Coefficient of variation (CV)0.54863598
Kurtosis-1.2099874
Mean111.48585
Median Absolute Deviation (MAD)53.33
Skewness-0.030011152
Sum1114858.5
Variance3741.1752
MonotonicityNot monotonic
2024-05-04T06:53:21.688165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 153
 
1.5%
20.0 149
 
1.5%
18.33 143
 
1.4%
16.67 130
 
1.3%
30.0 127
 
1.3%
25.0 123
 
1.2%
28.33 119
 
1.2%
165.0 119
 
1.2%
163.33 118
 
1.2%
31.67 117
 
1.2%
Other values (138) 8702
87.0%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
10.0 1
 
< 0.1%
11.67 9
 
0.1%
13.33 76
0.8%
15.0 153
1.5%
16.67 130
1.3%
18.33 143
1.4%
20.0 149
1.5%
21.67 113
1.1%
23.33 94
0.9%
ValueCountFrequency (%)
313.33 1
 
< 0.1%
278.33 1
 
< 0.1%
255.0 1
 
< 0.1%
250.0 2
 
< 0.1%
246.67 2
 
< 0.1%
245.0 4
< 0.1%
243.33 3
< 0.1%
241.67 1
 
< 0.1%
240.0 2
 
< 0.1%
238.33 5
0.1%
Distinct238
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.23116
Minimum11.67
Maximum445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:22.216999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.67
5-th percentile35
Q1110
median203.33
Q3276.67
95-th percentile340
Maximum445
Range433.33
Interquartile range (IQR)166.67

Descriptive statistics

Standard deviation97.203652
Coefficient of variation (CV)0.49789004
Kurtosis-1.0801814
Mean195.23116
Median Absolute Deviation (MAD)80
Skewness-0.13368355
Sum1952311.6
Variance9448.5499
MonotonicityNot monotonic
2024-05-04T06:53:22.822692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.33 127
 
1.3%
30.0 105
 
1.1%
33.33 96
 
1.0%
35.0 87
 
0.9%
31.67 86
 
0.9%
36.67 76
 
0.8%
271.67 76
 
0.8%
276.67 75
 
0.8%
285.0 74
 
0.7%
203.33 71
 
0.7%
Other values (228) 9127
91.3%
ValueCountFrequency (%)
11.67 1
 
< 0.1%
23.33 1
 
< 0.1%
25.0 13
 
0.1%
26.67 41
 
0.4%
28.33 127
1.3%
30.0 105
1.1%
31.67 86
0.9%
33.33 96
1.0%
35.0 87
0.9%
36.67 76
0.8%
ValueCountFrequency (%)
445.0 3
< 0.1%
443.33 1
 
< 0.1%
428.33 2
< 0.1%
426.67 1
 
< 0.1%
418.33 1
 
< 0.1%
411.67 2
< 0.1%
410.0 1
 
< 0.1%
408.33 2
< 0.1%
405.0 2
< 0.1%
401.67 2
< 0.1%
Distinct6594
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.85107
Minimum0
Maximum1157.19
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:23.533866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.45
Q149.5275
median91.92
Q3148.735
95-th percentile319.6
Maximum1157.19
Range1157.19
Interquartile range (IQR)99.2075

Descriptive statistics

Standard deviation112.3265
Coefficient of variation (CV)0.945103
Kurtosis12.784638
Mean118.85107
Median Absolute Deviation (MAD)47.23
Skewness2.9410205
Sum1188510.7
Variance12617.243
MonotonicityNot monotonic
2024-05-04T06:53:23.963020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.1 30
 
0.3%
0.0 29
 
0.3%
107.1 27
 
0.3%
85.0 27
 
0.3%
81.6 26
 
0.3%
78.2 26
 
0.3%
105.4 25
 
0.2%
86.7 25
 
0.2%
83.3 25
 
0.2%
149.6 24
 
0.2%
Other values (6584) 9736
97.4%
ValueCountFrequency (%)
0.0 29
0.3%
1.7 2
 
< 0.1%
2.44 1
 
< 0.1%
2.51 1
 
< 0.1%
2.68 1
 
< 0.1%
2.69 1
 
< 0.1%
2.77 1
 
< 0.1%
2.83 1
 
< 0.1%
2.89 1
 
< 0.1%
2.99 1
 
< 0.1%
ValueCountFrequency (%)
1157.19 1
< 0.1%
1026.8 1
< 0.1%
1025.1 1
< 0.1%
1024.81 1
< 0.1%
992.9 1
< 0.1%
979.2 1
< 0.1%
953.7 1
< 0.1%
933.41 1
< 0.1%
924.8 1
< 0.1%
913.33 1
< 0.1%
Distinct3438
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.992755
Minimum5.67
Maximum57.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:24.368763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.67
5-th percentile11.8195
Q119.49
median29.16
Q336.1825
95-th percentile42.37
Maximum57.78
Range52.11
Interquartile range (IQR)16.6925

Descriptive statistics

Standard deviation9.9414719
Coefficient of variation (CV)0.35514446
Kurtosis-1.1143507
Mean27.992755
Median Absolute Deviation (MAD)8.36
Skewness-0.15581876
Sum279927.55
Variance98.832863
MonotonicityNot monotonic
2024-05-04T06:53:24.737840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.56 14
 
0.1%
32.35 12
 
0.1%
34.84 11
 
0.1%
33.95 10
 
0.1%
32.34 10
 
0.1%
33.19 9
 
0.1%
12.52 9
 
0.1%
39.76 9
 
0.1%
34.62 9
 
0.1%
13.74 9
 
0.1%
Other values (3428) 9898
99.0%
ValueCountFrequency (%)
5.67 1
< 0.1%
6.56 1
< 0.1%
6.75 1
< 0.1%
6.84 1
< 0.1%
7.02 1
< 0.1%
7.1 1
< 0.1%
7.21 1
< 0.1%
7.34 1
< 0.1%
7.41 1
< 0.1%
7.55 1
< 0.1%
ValueCountFrequency (%)
57.78 1
< 0.1%
51.73 1
< 0.1%
50.66 1
< 0.1%
49.62 1
< 0.1%
49.56 1
< 0.1%
49.35 1
< 0.1%
48.54 1
< 0.1%
48.43 1
< 0.1%
48.41 1
< 0.1%
48.37 1
< 0.1%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.116015
Minimum1.67
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:25.008220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q15
median8.33
Q313.33
95-th percentile18.33
Maximum30
Range28.33
Interquartile range (IQR)8.33

Descriptive statistics

Standard deviation5.238937
Coefficient of variation (CV)0.57469596
Kurtosis-0.98897164
Mean9.116015
Median Absolute Deviation (MAD)5
Skewness0.35381853
Sum91160.15
Variance27.446461
MonotonicityNot monotonic
2024-05-04T06:53:25.254842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.33 1903
19.0%
5.0 1264
12.6%
13.33 891
8.9%
11.67 881
8.8%
15.0 857
8.6%
10.0 825
8.2%
6.67 790
7.9%
8.33 745
 
7.4%
16.67 696
 
7.0%
1.67 565
 
5.7%
Other values (8) 583
 
5.8%
ValueCountFrequency (%)
1.67 565
 
5.7%
3.33 1903
19.0%
5.0 1264
12.6%
6.67 790
7.9%
8.33 745
 
7.4%
10.0 825
8.2%
11.67 881
8.8%
13.33 891
8.9%
15.0 857
8.6%
16.67 696
 
7.0%
ValueCountFrequency (%)
30.0 1
 
< 0.1%
28.33 2
 
< 0.1%
26.67 2
 
< 0.1%
25.0 3
 
< 0.1%
23.33 17
 
0.2%
21.67 41
 
0.4%
20.0 145
 
1.5%
18.33 372
3.7%
16.67 696
7.0%
15.0 857
8.6%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.952671
Minimum3.33
Maximum56.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:25.526803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q110
median20
Q328.33
95-th percentile35
Maximum56.67
Range53.34
Interquartile range (IQR)18.33

Descriptive statistics

Standard deviation10.259929
Coefficient of variation (CV)0.51421333
Kurtosis-1.2161907
Mean19.952671
Median Absolute Deviation (MAD)10
Skewness0.072794128
Sum199526.71
Variance105.26615
MonotonicityNot monotonic
2024-05-04T06:53:25.946043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.0 682
 
6.8%
10.0 617
 
6.2%
6.67 604
 
6.0%
30.0 575
 
5.8%
8.33 558
 
5.6%
28.33 552
 
5.5%
26.67 528
 
5.3%
11.67 528
 
5.3%
25.0 512
 
5.1%
31.67 488
 
4.9%
Other values (19) 4356
43.6%
ValueCountFrequency (%)
3.33 188
 
1.9%
5.0 682
6.8%
6.67 604
6.0%
8.33 558
5.6%
10.0 617
6.2%
11.67 528
5.3%
13.33 425
4.2%
15.0 421
4.2%
16.67 353
3.5%
18.33 394
3.9%
ValueCountFrequency (%)
56.67 1
 
< 0.1%
48.33 2
 
< 0.1%
46.67 3
 
< 0.1%
45.0 2
 
< 0.1%
43.33 11
 
0.1%
41.67 22
 
0.2%
40.0 53
 
0.5%
38.33 131
 
1.3%
36.67 258
2.6%
35.0 374
3.7%
Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.995814
Minimum5
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:26.326657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13.33
Q126.67
median41.67
Q353.33
95-th percentile65
Maximum95
Range90
Interquartile range (IQR)26.66

Descriptive statistics

Standard deviation16.764851
Coefficient of variation (CV)0.41916513
Kurtosis-0.95756378
Mean39.995814
Median Absolute Deviation (MAD)13.34
Skewness-0.058625782
Sum399958.14
Variance281.06021
MonotonicityNot monotonic
2024-05-04T06:53:26.717825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 392
 
3.9%
46.67 378
 
3.8%
48.33 373
 
3.7%
45.0 351
 
3.5%
51.67 331
 
3.3%
43.33 323
 
3.2%
60.0 321
 
3.2%
56.67 308
 
3.1%
30.0 300
 
3.0%
61.67 299
 
3.0%
Other values (43) 6624
66.2%
ValueCountFrequency (%)
5.0 3
 
< 0.1%
6.67 23
 
0.2%
8.33 124
1.2%
10.0 159
1.6%
11.67 168
1.7%
13.33 193
1.9%
15.0 227
2.3%
16.67 243
2.4%
18.33 248
2.5%
20.0 267
2.7%
ValueCountFrequency (%)
95.0 2
 
< 0.1%
93.33 1
 
< 0.1%
90.0 1
 
< 0.1%
86.67 3
 
< 0.1%
85.0 2
 
< 0.1%
83.33 3
 
< 0.1%
81.67 1
 
< 0.1%
80.0 6
 
0.1%
78.33 10
0.1%
76.67 21
0.2%

유튜브 사용 미추정 인구수
Real number (ℝ)

ZEROS 

Distinct4231
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.575133
Minimum0
Maximum409.7
Zeros428
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:27.134246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.38
Q111.9
median22.1
Q336.4025
95-th percentile93.5
Maximum409.7
Range409.7
Interquartile range (IQR)24.5025

Descriptive statistics

Standard deviation38.572137
Coefficient of variation (CV)1.2215986
Kurtosis21.35435
Mean31.575133
Median Absolute Deviation (MAD)11.865
Skewness3.9984479
Sum315751.33
Variance1487.8098
MonotonicityNot monotonic
2024-05-04T06:53:27.563221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 428
 
4.3%
17.0 113
 
1.1%
13.6 110
 
1.1%
15.3 100
 
1.0%
25.5 96
 
1.0%
20.4 90
 
0.9%
18.7 88
 
0.9%
23.8 88
 
0.9%
27.2 82
 
0.8%
28.9 82
 
0.8%
Other values (4221) 8723
87.2%
ValueCountFrequency (%)
0.0 428
4.3%
1.7 14
 
0.1%
1.71 1
 
< 0.1%
1.72 1
 
< 0.1%
1.74 2
 
< 0.1%
1.8 1
 
< 0.1%
1.81 1
 
< 0.1%
1.85 1
 
< 0.1%
1.9 1
 
< 0.1%
1.93 1
 
< 0.1%
ValueCountFrequency (%)
409.7 1
< 0.1%
404.9 1
< 0.1%
384.35 1
< 0.1%
372.17 1
< 0.1%
364.36 1
< 0.1%
353.6 1
< 0.1%
348.05 1
< 0.1%
347.2 1
< 0.1%
343.4 1
< 0.1%
341.7 1
< 0.1%

유튜브 사용일수
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.048139
Minimum-0.7
Maximum0.44
Zeros173
Zeros (%)1.7%
Negative5814
Negative (%)58.1%
Memory size166.0 KiB
2024-05-04T06:53:27.958772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile-0.46
Q1-0.14
median-0.04
Q30.1
95-th percentile0.25
Maximum0.44
Range1.14
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.19787102
Coefficient of variation (CV)-4.1104099
Kurtosis0.62326414
Mean-0.048139
Median Absolute Deviation (MAD)0.12
Skewness-0.69277981
Sum-481.39
Variance0.039152942
MonotonicityNot monotonic
2024-05-04T06:53:28.493887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 331
 
3.3%
-0.14 291
 
2.9%
-0.12 284
 
2.8%
-0.11 252
 
2.5%
-0.1 248
 
2.5%
-0.08 236
 
2.4%
-0.15 234
 
2.3%
-0.07 233
 
2.3%
-0.02 223
 
2.2%
-0.03 217
 
2.2%
Other values (101) 7451
74.5%
ValueCountFrequency (%)
-0.7 2
 
< 0.1%
-0.69 3
 
< 0.1%
-0.68 3
 
< 0.1%
-0.67 3
 
< 0.1%
-0.66 9
 
0.1%
-0.65 11
 
0.1%
-0.64 14
0.1%
-0.63 31
0.3%
-0.62 30
0.3%
-0.61 32
0.3%
ValueCountFrequency (%)
0.44 1
 
< 0.1%
0.4 1
 
< 0.1%
0.38 1
 
< 0.1%
0.37 2
 
< 0.1%
0.36 2
 
< 0.1%
0.35 1
 
< 0.1%
0.34 3
 
< 0.1%
0.33 1
 
< 0.1%
0.32 3
 
< 0.1%
0.31 16
0.2%
Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.216326
Minimum-1.33
Maximum0.39
Zeros97
Zeros (%)1.0%
Negative7821
Negative (%)78.2%
Memory size166.0 KiB
2024-05-04T06:53:28.906808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.33
5-th percentile-0.78
Q1-0.32
median-0.21
Q3-0.02
95-th percentile0.16
Maximum0.39
Range1.72
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.27835688
Coefficient of variation (CV)-1.2867472
Kurtosis2.8498498
Mean-0.216326
Median Absolute Deviation (MAD)0.15
Skewness-1.3369858
Sum-2163.26
Variance0.07748255
MonotonicityNot monotonic
2024-05-04T06:53:29.462554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.28 282
 
2.8%
-0.29 264
 
2.6%
-0.27 257
 
2.6%
-0.3 253
 
2.5%
-0.31 217
 
2.2%
-0.26 216
 
2.2%
-0.23 205
 
2.1%
-0.25 199
 
2.0%
-0.24 197
 
2.0%
-0.21 186
 
1.9%
Other values (155) 7724
77.2%
ValueCountFrequency (%)
-1.33 84
0.8%
-1.31 3
 
< 0.1%
-1.3 8
 
0.1%
-1.29 2
 
< 0.1%
-1.28 2
 
< 0.1%
-1.25 5
 
0.1%
-1.24 3
 
< 0.1%
-1.23 1
 
< 0.1%
-1.22 8
 
0.1%
-1.21 8
 
0.1%
ValueCountFrequency (%)
0.39 1
 
< 0.1%
0.35 1
 
< 0.1%
0.34 2
< 0.1%
0.32 1
 
< 0.1%
0.31 1
 
< 0.1%
0.3 1
 
< 0.1%
0.28 1
 
< 0.1%
0.27 3
< 0.1%
0.26 1
 
< 0.1%
0.25 1
 
< 0.1%
Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.024469
Minimum-0.67
Maximum0.44
Zeros144
Zeros (%)1.4%
Negative4348
Negative (%)43.5%
Memory size166.0 KiB
2024-05-04T06:53:29.879448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.39
Q1-0.09
median0.03
Q30.17
95-th percentile0.33
Maximum0.44
Range1.11
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.20317329
Coefficient of variation (CV)8.3032936
Kurtosis0.55344402
Mean0.024469
Median Absolute Deviation (MAD)0.13
Skewness-0.66979314
Sum244.69
Variance0.041279386
MonotonicityNot monotonic
2024-05-04T06:53:30.387030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.08 306
 
3.1%
-0.1 304
 
3.0%
-0.09 304
 
3.0%
-0.07 254
 
2.5%
0.15 226
 
2.3%
-0.05 225
 
2.2%
0.16 219
 
2.2%
-0.06 217
 
2.2%
-0.11 217
 
2.2%
0.17 203
 
2.0%
Other values (102) 7525
75.2%
ValueCountFrequency (%)
-0.67 1
 
< 0.1%
-0.66 1
 
< 0.1%
-0.65 3
 
< 0.1%
-0.64 1
 
< 0.1%
-0.63 2
 
< 0.1%
-0.62 8
0.1%
-0.61 8
0.1%
-0.6 6
 
0.1%
-0.59 15
0.1%
-0.58 17
0.2%
ValueCountFrequency (%)
0.44 1
 
< 0.1%
0.43 3
 
< 0.1%
0.42 3
 
< 0.1%
0.41 1
 
< 0.1%
0.4 4
 
< 0.1%
0.39 3
 
< 0.1%
0.38 6
 
0.1%
0.37 29
 
0.3%
0.36 49
0.5%
0.35 108
1.1%
Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.206944
Minimum-0.33
Maximum0.5
Zeros42
Zeros (%)0.4%
Negative800
Negative (%)8.0%
Memory size166.0 KiB
2024-05-04T06:53:30.867358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.33
5-th percentile-0.07
Q10.11
median0.21
Q30.32
95-th percentile0.44
Maximum0.5
Range0.83
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.151292
Coefficient of variation (CV)0.73107701
Kurtosis-0.011080791
Mean0.206944
Median Absolute Deviation (MAD)0.11
Skewness-0.42235715
Sum2069.44
Variance0.02288927
MonotonicityNot monotonic
2024-05-04T06:53:31.348272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 310
 
3.1%
0.29 301
 
3.0%
0.11 297
 
3.0%
0.1 294
 
2.9%
0.3 288
 
2.9%
0.31 271
 
2.7%
0.08 264
 
2.6%
0.19 257
 
2.6%
0.33 254
 
2.5%
0.18 253
 
2.5%
Other values (71) 7211
72.1%
ValueCountFrequency (%)
-0.33 1
 
< 0.1%
-0.31 3
 
< 0.1%
-0.28 3
 
< 0.1%
-0.27 3
 
< 0.1%
-0.26 1
 
< 0.1%
-0.25 13
0.1%
-0.24 10
0.1%
-0.23 16
0.2%
-0.22 16
0.2%
-0.21 24
0.2%
ValueCountFrequency (%)
0.5 3
 
< 0.1%
0.49 5
 
0.1%
0.48 23
 
0.2%
0.47 48
 
0.5%
0.46 147
1.5%
0.45 213
2.1%
0.44 229
2.3%
0.43 232
2.3%
0.42 163
1.6%
0.41 114
1.1%
Distinct7802
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.45188
Minimum1.7
Maximum1856.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:31.764929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile143.291
Q1287.065
median430.205
Q3625.28
95-th percentile963.9
Maximum1856.56
Range1854.86
Interquartile range (IQR)338.215

Descriptive statistics

Standard deviation254.72931
Coefficient of variation (CV)0.53463805
Kurtosis0.96974633
Mean476.45188
Median Absolute Deviation (MAD)163.545
Skewness0.91505422
Sum4764518.8
Variance64887.019
MonotonicityNot monotonic
2024-05-04T06:53:32.297406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
676.6 13
 
0.1%
476.0 13
 
0.1%
341.7 12
 
0.1%
566.1 12
 
0.1%
496.4 12
 
0.1%
479.4 12
 
0.1%
362.1 12
 
0.1%
221.0 11
 
0.1%
419.9 11
 
0.1%
771.8 11
 
0.1%
Other values (7792) 9881
98.8%
ValueCountFrequency (%)
1.7 1
< 0.1%
4.89 1
< 0.1%
5.9 1
< 0.1%
6.8 1
< 0.1%
16.35 1
< 0.1%
16.97 1
< 0.1%
20.4 1
< 0.1%
22.1 1
< 0.1%
22.29 1
< 0.1%
24.44 1
< 0.1%
ValueCountFrequency (%)
1856.56 1
< 0.1%
1804.83 1
< 0.1%
1780.67 1
< 0.1%
1736.09 1
< 0.1%
1699.91 1
< 0.1%
1654.1 1
< 0.1%
1618.8 1
< 0.1%
1595.22 1
< 0.1%
1575.9 1
< 0.1%
1563.75 1
< 0.1%

넷플릭스 사용일수
Real number (ℝ)

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.395612
Minimum-0.67
Maximum0.19
Zeros1
Zeros (%)< 0.1%
Negative9994
Negative (%)99.9%
Memory size166.0 KiB
2024-05-04T06:53:32.792840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.65
Q1-0.6
median-0.38
Q3-0.21
95-th percentile-0.13
Maximum0.19
Range0.86
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.19045922
Coefficient of variation (CV)-0.48142932
Kurtosis-1.5181197
Mean-0.395612
Median Absolute Deviation (MAD)0.19
Skewness-0.019177075
Sum-3956.12
Variance0.036274713
MonotonicityNot monotonic
2024-05-04T06:53:33.216837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.65 577
 
5.8%
-0.64 469
 
4.7%
-0.63 423
 
4.2%
-0.66 335
 
3.4%
-0.62 321
 
3.2%
-0.19 275
 
2.8%
-0.2 263
 
2.6%
-0.21 262
 
2.6%
-0.22 259
 
2.6%
-0.16 255
 
2.5%
Other values (63) 6561
65.6%
ValueCountFrequency (%)
-0.67 7
 
0.1%
-0.66 335
3.4%
-0.65 577
5.8%
-0.64 469
4.7%
-0.63 423
4.2%
-0.62 321
3.2%
-0.61 252
2.5%
-0.6 227
 
2.3%
-0.59 203
 
2.0%
-0.58 193
 
1.9%
ValueCountFrequency (%)
0.19 1
 
< 0.1%
0.06 1
 
< 0.1%
0.05 1
 
< 0.1%
0.03 1
 
< 0.1%
0.02 1
 
< 0.1%
0.0 1
 
< 0.1%
-0.01 3
< 0.1%
-0.02 1
 
< 0.1%
-0.03 2
 
< 0.1%
-0.04 5
0.1%
Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.668837
Minimum-0.67
Maximum0.26
Zeros0
Zeros (%)0.0%
Negative9999
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T06:53:33.689815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.67
Q3-0.67
95-th percentile-0.67
Maximum0.26
Range0.93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.016510745
Coefficient of variation (CV)-0.024685753
Kurtosis1186.6582
Mean-0.668837
Median Absolute Deviation (MAD)0
Skewness27.704088
Sum-6688.37
Variance0.00027260469
MonotonicityNot monotonic
2024-05-04T06:53:34.095747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-0.67 9909
99.1%
-0.55 10
 
0.1%
-0.56 8
 
0.1%
-0.63 8
 
0.1%
-0.54 7
 
0.1%
-0.58 5
 
0.1%
-0.57 5
 
0.1%
-0.66 5
 
0.1%
-0.53 4
 
< 0.1%
-0.62 4
 
< 0.1%
Other values (20) 35
 
0.4%
ValueCountFrequency (%)
-0.67 9909
99.1%
-0.66 5
 
0.1%
-0.65 1
 
< 0.1%
-0.64 2
 
< 0.1%
-0.63 8
 
0.1%
-0.62 4
 
< 0.1%
-0.61 3
 
< 0.1%
-0.6 4
 
< 0.1%
-0.59 3
 
< 0.1%
-0.58 5
 
0.1%
ValueCountFrequency (%)
0.26 1
< 0.1%
-0.17 1
< 0.1%
-0.29 1
< 0.1%
-0.35 1
< 0.1%
-0.38 1
< 0.1%
-0.4 1
< 0.1%
-0.42 2
< 0.1%
-0.43 1
< 0.1%
-0.44 1
< 0.1%
-0.45 1
< 0.1%
Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.486358
Minimum-0.67
Maximum0.29
Zeros17
Zeros (%)0.2%
Negative9815
Negative (%)98.2%
Memory size166.0 KiB
2024-05-04T06:53:34.634738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.67
Q3-0.26
95-th percentile-0.06
Maximum0.29
Range0.96
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.23539936
Coefficient of variation (CV)-0.48400429
Kurtosis-1.0065368
Mean-0.486358
Median Absolute Deviation (MAD)0
Skewness0.76851716
Sum-4863.58
Variance0.055412857
MonotonicityNot monotonic
2024-05-04T06:53:35.475741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 5651
56.5%
-0.2 130
 
1.3%
-0.21 124
 
1.2%
-0.13 123
 
1.2%
-0.18 117
 
1.2%
-0.16 117
 
1.2%
-0.14 114
 
1.1%
-0.17 112
 
1.1%
-0.11 111
 
1.1%
-0.12 108
 
1.1%
Other values (78) 3293
32.9%
ValueCountFrequency (%)
-0.67 5651
56.5%
-0.66 7
 
0.1%
-0.65 6
 
0.1%
-0.64 10
 
0.1%
-0.63 15
 
0.1%
-0.62 4
 
< 0.1%
-0.61 10
 
0.1%
-0.6 9
 
0.1%
-0.59 16
 
0.2%
-0.58 17
 
0.2%
ValueCountFrequency (%)
0.29 1
 
< 0.1%
0.28 1
 
< 0.1%
0.19 1
 
< 0.1%
0.18 1
 
< 0.1%
0.17 1
 
< 0.1%
0.15 1
 
< 0.1%
0.14 4
< 0.1%
0.13 2
< 0.1%
0.12 1
 
< 0.1%
0.11 2
< 0.1%
Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.189951
Minimum-0.67
Maximum0.52
Zeros28
Zeros (%)0.3%
Negative5326
Negative (%)53.3%
Memory size166.0 KiB
2024-05-04T06:53:36.008866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.08
Q30.21
95-th percentile0.28
Maximum0.52
Range1.19
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.4013462
Coefficient of variation (CV)-2.1128933
Kurtosis-1.7595795
Mean-0.189951
Median Absolute Deviation (MAD)0.34
Skewness-0.15522388
Sum-1899.51
Variance0.16107878
MonotonicityNot monotonic
2024-05-04T06:53:36.497723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 3520
35.2%
0.24 368
 
3.7%
0.22 323
 
3.2%
0.25 322
 
3.2%
0.23 320
 
3.2%
0.26 313
 
3.1%
0.2 263
 
2.6%
0.21 242
 
2.4%
0.27 228
 
2.3%
0.19 209
 
2.1%
Other values (100) 3892
38.9%
ValueCountFrequency (%)
-0.67 3520
35.2%
-0.66 4
 
< 0.1%
-0.65 3
 
< 0.1%
-0.64 3
 
< 0.1%
-0.63 6
 
0.1%
-0.62 6
 
0.1%
-0.61 2
 
< 0.1%
-0.6 6
 
0.1%
-0.59 4
 
< 0.1%
-0.58 5
 
0.1%
ValueCountFrequency (%)
0.52 1
 
< 0.1%
0.42 1
 
< 0.1%
0.4 1
 
< 0.1%
0.39 2
 
< 0.1%
0.38 2
 
< 0.1%
0.37 5
 
0.1%
0.36 1
 
< 0.1%
0.35 6
 
0.1%
0.34 10
0.1%
0.33 15
0.1%
Distinct7806
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean421.65117
Minimum0
Maximum1863.46
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:37.045495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83.2995
Q1185.1975
median358.7
Q3603.225
95-th percentile980.9
Maximum1863.46
Range1863.46
Interquartile range (IQR)418.0275

Descriptive statistics

Standard deviation288.77921
Coefficient of variation (CV)0.68487705
Kurtosis0.62812222
Mean421.65117
Median Absolute Deviation (MAD)195.41
Skewness0.95760776
Sum4216511.7
Variance83393.432
MonotonicityNot monotonic
2024-05-04T06:53:37.686162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416.5 14
 
0.1%
535.5 12
 
0.1%
598.4 12
 
0.1%
297.5 12
 
0.1%
515.1 12
 
0.1%
516.8 11
 
0.1%
360.4 11
 
0.1%
426.7 11
 
0.1%
474.3 11
 
0.1%
277.1 11
 
0.1%
Other values (7796) 9883
98.8%
ValueCountFrequency (%)
0.0 3
< 0.1%
2.44 1
 
< 0.1%
2.83 1
 
< 0.1%
3.19 1
 
< 0.1%
5.1 1
 
< 0.1%
6.8 3
< 0.1%
15.24 1
 
< 0.1%
15.56 1
 
< 0.1%
15.79 1
 
< 0.1%
16.35 1
 
< 0.1%
ValueCountFrequency (%)
1863.46 1
< 0.1%
1808.93 1
< 0.1%
1768.0 1
< 0.1%
1724.65 1
< 0.1%
1711.21 1
< 0.1%
1684.83 1
< 0.1%
1678.95 1
< 0.1%
1657.5 1
< 0.1%
1637.13 1
< 0.1%
1624.22 1
< 0.1%
Distinct1501
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.568764
Minimum0
Maximum28.33
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:38.106793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.37
Q18.7
median11.78
Q314.56
95-th percentile17.2005
Maximum28.33
Range28.33
Interquartile range (IQR)5.86

Descriptive statistics

Standard deviation3.7726568
Coefficient of variation (CV)0.32610716
Kurtosis-0.51747094
Mean11.568764
Median Absolute Deviation (MAD)2.92
Skewness-0.22004816
Sum115687.64
Variance14.232939
MonotonicityNot monotonic
2024-05-04T06:53:38.677607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.67 66
 
0.7%
8.33 63
 
0.6%
10.0 55
 
0.5%
5.0 50
 
0.5%
7.5 47
 
0.5%
3.33 40
 
0.4%
13.33 37
 
0.4%
5.83 35
 
0.4%
11.67 34
 
0.3%
1.67 30
 
0.3%
Other values (1491) 9543
95.4%
ValueCountFrequency (%)
0.0 24
0.2%
1.67 30
0.3%
1.9 2
 
< 0.1%
1.94 2
 
< 0.1%
2.0 1
 
< 0.1%
2.08 4
 
< 0.1%
2.22 10
 
0.1%
2.27 1
 
< 0.1%
2.29 1
 
< 0.1%
2.33 4
 
< 0.1%
ValueCountFrequency (%)
28.33 1
 
< 0.1%
25.0 1
 
< 0.1%
22.5 1
 
< 0.1%
22.22 1
 
< 0.1%
21.67 1
 
< 0.1%
21.11 2
< 0.1%
20.83 1
 
< 0.1%
20.67 3
< 0.1%
20.63 1
 
< 0.1%
20.56 2
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.824429
Minimum0
Maximum25
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:39.295275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.67
Q11.67
median3.33
Q35
95-th percentile6.67
Maximum25
Range25
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation1.9171695
Coefficient of variation (CV)0.50129561
Kurtosis4.4638972
Mean3.824429
Median Absolute Deviation (MAD)1.66
Skewness1.0480406
Sum38244.29
Variance3.6755387
MonotonicityNot monotonic
2024-05-04T06:53:39.777946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.33 3129
31.3%
1.67 2888
28.9%
5.0 2428
24.3%
6.67 1251
 
12.5%
8.33 231
 
2.3%
10.0 28
 
0.3%
0.0 24
 
0.2%
11.67 11
 
0.1%
15.0 2
 
< 0.1%
20.0 2
 
< 0.1%
Other values (5) 6
 
0.1%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 2888
28.9%
3.33 3129
31.3%
5.0 2428
24.3%
6.67 1251
 
12.5%
8.33 231
 
2.3%
10.0 28
 
0.3%
11.67 11
 
0.1%
13.33 2
 
< 0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
25.0 1
 
< 0.1%
23.33 1
 
< 0.1%
21.67 1
 
< 0.1%
20.0 2
 
< 0.1%
18.33 1
 
< 0.1%
15.0 2
 
< 0.1%
13.33 2
 
< 0.1%
11.67 11
 
0.1%
10.0 28
 
0.3%
8.33 231
2.3%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.450862
Minimum0
Maximum28.33
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:40.276339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.33
Q15
median8.33
Q311.67
95-th percentile15
Maximum28.33
Range28.33
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation4.0832628
Coefficient of variation (CV)0.48317708
Kurtosis-0.37481725
Mean8.450862
Median Absolute Deviation (MAD)3.33
Skewness0.35279714
Sum84508.62
Variance16.673035
MonotonicityNot monotonic
2024-05-04T06:53:40.651009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5.0 1397
14.0%
10.0 1346
13.5%
6.67 1325
13.2%
3.33 1285
12.8%
8.33 1271
12.7%
11.67 1147
11.5%
13.33 905
9.0%
15.0 514
 
5.1%
1.67 418
 
4.2%
16.67 236
 
2.4%
Other values (8) 156
 
1.6%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 418
 
4.2%
3.33 1285
12.8%
5.0 1397
14.0%
6.67 1325
13.2%
8.33 1271
12.7%
10.0 1346
13.5%
11.67 1147
11.5%
13.33 905
9.0%
15.0 514
 
5.1%
ValueCountFrequency (%)
28.33 2
 
< 0.1%
26.67 3
 
< 0.1%
25.0 3
 
< 0.1%
23.33 2
 
< 0.1%
21.67 8
 
0.1%
20.0 28
 
0.3%
18.33 86
 
0.9%
16.67 236
 
2.4%
15.0 514
5.1%
13.33 905
9.0%
Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.543316
Minimum0
Maximum33.33
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:41.024999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111.67
median18.33
Q323.33
95-th percentile30
Maximum33.33
Range33.33
Interquartile range (IQR)11.66

Descriptive statistics

Standard deviation7.3831001
Coefficient of variation (CV)0.42084975
Kurtosis-0.78307465
Mean17.543316
Median Absolute Deviation (MAD)5
Skewness0.0033360453
Sum175433.16
Variance54.510167
MonotonicityNot monotonic
2024-05-04T06:53:41.487769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21.67 747
 
7.5%
20.0 743
 
7.4%
15.0 736
 
7.4%
18.33 736
 
7.4%
16.67 736
 
7.4%
23.33 709
 
7.1%
11.67 683
 
6.8%
13.33 656
 
6.6%
25.0 648
 
6.5%
10.0 638
 
6.4%
Other values (11) 2968
29.7%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 58
 
0.6%
3.33 163
 
1.6%
5.0 288
 
2.9%
6.67 407
4.1%
8.33 563
5.6%
10.0 638
6.4%
11.67 683
6.8%
13.33 656
6.6%
15.0 736
7.4%
ValueCountFrequency (%)
33.33 156
 
1.6%
31.67 157
 
1.6%
30.0 213
 
2.1%
28.33 398
4.0%
26.67 541
5.4%
25.0 648
6.5%
23.33 709
7.1%
21.67 747
7.5%
20.0 743
7.4%
18.33 736
7.4%
Distinct8023
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean796.81371
Minimum19.56
Maximum4574.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:41.913281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.56
5-th percentile269.167
Q1530.4
median749.16
Q31006.23
95-th percentile1477.859
Maximum4574.15
Range4554.59
Interquartile range (IQR)475.83

Descriptive statistics

Standard deviation378.68384
Coefficient of variation (CV)0.47524765
Kurtosis2.6400568
Mean796.81371
Median Absolute Deviation (MAD)234.545
Skewness1.0019666
Sum7968137.1
Variance143401.45
MonotonicityNot monotonic
2024-05-04T06:53:42.317587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
714.0 13
 
0.1%
703.8 13
 
0.1%
564.4 12
 
0.1%
375.7 11
 
0.1%
759.9 11
 
0.1%
413.1 10
 
0.1%
513.4 10
 
0.1%
518.5 10
 
0.1%
695.3 10
 
0.1%
435.2 10
 
0.1%
Other values (8013) 9890
98.9%
ValueCountFrequency (%)
19.56 1
 
< 0.1%
22.29 1
 
< 0.1%
25.5 1
 
< 0.1%
30.6 1
 
< 0.1%
47.6 1
 
< 0.1%
51.0 3
< 0.1%
52.0 1
 
< 0.1%
52.7 3
< 0.1%
59.0 1
 
< 0.1%
61.54 1
 
< 0.1%
ValueCountFrequency (%)
4574.15 1
< 0.1%
3263.6 1
< 0.1%
3039.33 1
< 0.1%
2952.98 1
< 0.1%
2911.13 1
< 0.1%
2830.28 1
< 0.1%
2791.23 1
< 0.1%
2760.14 1
< 0.1%
2758.41 1
< 0.1%
2720.39 1
< 0.1%
Distinct200
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.431165
Minimum0
Maximum5
Zeros1397
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:42.753541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.17
median2.71
Q33.03
95-th percentile3.89
Maximum5
Range5
Interquartile range (IQR)0.86

Descriptive statistics

Standard deviation1.1687369
Coefficient of variation (CV)0.48073121
Kurtosis0.60833253
Mean2.431165
Median Absolute Deviation (MAD)0.39
Skewness-0.75431209
Sum24311.65
Variance1.3659459
MonotonicityNot monotonic
2024-05-04T06:53:43.209259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1397
 
14.0%
1.67 859
 
8.6%
3.33 703
 
7.0%
2.5 366
 
3.7%
5.0 347
 
3.5%
2.78 341
 
3.4%
2.92 194
 
1.9%
2.67 146
 
1.5%
2.86 132
 
1.3%
2.22 132
 
1.3%
Other values (190) 5383
53.8%
ValueCountFrequency (%)
0.0 1397
14.0%
1.67 859
8.6%
1.76 1
 
< 0.1%
1.79 2
 
< 0.1%
1.82 3
 
< 0.1%
1.83 4
 
< 0.1%
1.85 5
 
0.1%
1.86 1
 
< 0.1%
1.88 8
 
0.1%
1.9 7
 
0.1%
ValueCountFrequency (%)
5.0 347
3.5%
4.58 2
 
< 0.1%
4.44 14
 
0.1%
4.33 8
 
0.1%
4.29 1
 
< 0.1%
4.17 91
 
0.9%
4.07 2
 
< 0.1%
4.05 4
 
< 0.1%
4.03 1
 
< 0.1%
4.0 10
 
0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7883 
0.0
1397 
3.33
 
366
5.0
 
354

Length

Max length4
Median length4
Mean length3.8249
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row5.0
3rd row0.0
4th row1.67
5th row0.0

Common Values

ValueCountFrequency (%)
1.67 7883
78.8%
0.0 1397
 
14.0%
3.33 366
 
3.7%
5.0 354
 
3.5%

Length

2024-05-04T06:53:43.623442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:43.960428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7883
78.8%
0.0 1397
 
14.0%
3.33 366
 
3.7%
5.0 354
 
3.5%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6324 
3.33
1723 
0.0
1397 
5.0
 
556

Length

Max length4
Median length4
Mean length3.8047
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row5.0
3rd row0.0
4th row1.67
5th row0.0

Common Values

ValueCountFrequency (%)
1.67 6324
63.2%
3.33 1723
 
17.2%
0.0 1397
 
14.0%
5.0 556
 
5.6%

Length

2024-05-04T06:53:44.312518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:44.796726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6324
63.2%
3.33 1723
 
17.2%
0.0 1397
 
14.0%
5.0 556
 
5.6%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
3767 
3.33
3428 
1.67
1408 
0.0
1397 

Length

Max length4
Median length3
Mean length3.4836
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row0.0
4th row1.67
5th row0.0

Common Values

ValueCountFrequency (%)
5.0 3767
37.7%
3.33 3428
34.3%
1.67 1408
 
14.1%
0.0 1397
 
14.0%

Length

2024-05-04T06:53:45.325324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:45.728462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 3767
37.7%
3.33 3428
34.3%
1.67 1408
 
14.1%
0.0 1397
 
14.0%
Distinct7899
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835.87826
Minimum22
Maximum4709.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:53:46.384198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile275.99
Q1550.175
median782.09
Q31060.9525
95-th percentile1569.661
Maximum4709.38
Range4687.38
Interquartile range (IQR)510.7775

Descriptive statistics

Standard deviation405.23215
Coefficient of variation (CV)0.48479805
Kurtosis2.50653
Mean835.87826
Median Absolute Deviation (MAD)249.99
Skewness1.0216613
Sum8358782.6
Variance164213.09
MonotonicityNot monotonic
2024-05-04T06:53:47.053733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375.7 13
 
0.1%
511.7 13
 
0.1%
549.1 13
 
0.1%
703.8 11
 
0.1%
702.1 11
 
0.1%
510.0 11
 
0.1%
719.1 11
 
0.1%
499.8 10
 
0.1%
615.4 10
 
0.1%
518.5 10
 
0.1%
Other values (7889) 9887
98.9%
ValueCountFrequency (%)
22.0 1
< 0.1%
24.14 1
< 0.1%
30.6 1
< 0.1%
32.3 1
< 0.1%
49.3 1
< 0.1%
51.0 2
< 0.1%
52.0 1
< 0.1%
52.7 1
< 0.1%
54.4 2
< 0.1%
56.1 1
< 0.1%
ValueCountFrequency (%)
4709.38 1
< 0.1%
3380.86 1
< 0.1%
3045.16 1
< 0.1%
3043.08 1
< 0.1%
3031.29 1
< 0.1%
2992.16 1
< 0.1%
2928.74 1
< 0.1%
2904.71 1
< 0.1%
2892.9 1
< 0.1%
2886.89 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8031 
0.0
1969 

Length

Max length4
Median length4
Mean length3.8031
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row1.67
4th row1.67
5th row1.67

Common Values

ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%

Length

2024-05-04T06:53:47.501225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:47.793855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8031 
0.0
1969 

Length

Max length4
Median length4
Mean length3.8031
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row1.67
4th row1.67
5th row1.67

Common Values

ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%

Length

2024-05-04T06:53:48.213227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:48.565458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8031 
0.0
1969 

Length

Max length4
Median length4
Mean length3.8031
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row1.67
4th row1.67
5th row1.67

Common Values

ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%

Length

2024-05-04T06:53:49.025710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:49.334927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8031 
0.0
1969 

Length

Max length4
Median length4
Mean length3.8031
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.67
2nd row1.67
3rd row1.67
4th row1.67
5th row1.67

Common Values

ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%

Length

2024-05-04T06:53:49.821569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:53:50.149994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8031
80.3%
0.0 1969
 
19.7%

Sample

행정동코드자치구행정동성별연령대총인구수1인가구수야간상주지 변경 미추정 인구 수야간상주지 변경횟수 평균야간상주지 변경횟수: 4분위수, 25%야간상주지 변경횟수: 4분위수, 50%야간상주지 변경횟수: 4분위수, 75%주간상주지 변경 미추정 인구수주간상주지 변경횟수 평균주간상주지 변경횟수: 4분위수, 25%주간상주지 변경횟수: 4분위수, 50%주간상주지 변경횟수: 4분위수, 75%출근 소요시간 미추정 인구수평균 출근 소요시간 평균평균 출근 소요시간: 4분위수, 25%평균 출근 소요시간: 4분위수, 50%평균 출근 소요시간: 4분위수, 75%근무시간 미추정 인구수평균 근무시간 평균평균 근무시간: 4분위수, 25%평균 근무시간: 4분위수, 50%평균 근무시간: 4분위수, 75%소액결재 비사용 인구수소액결재 사용횟수 평균소액결재 사용횟수: 4분위수, 25%소액결재 사용횟수: 4분위수, 50%소액결재 사용횟수: 4분위수, 75%소액결재 사용 금액 없는 인구수소액결재 사용금액 평균소액결재 사용금액: 4분위수, 25%소액결재 사용금액: 4분위수, 50%소액결재 사용금액: 4분위수, 75%최근 3개월 내 요금 연체 비율카카오톡 비사용 인구수SNS 사용횟수SNS 사용횟수: 4분위수, 25%SNS 사용횟수: 4분위수, 50%SNS 사용횟수: 4분위수, 75%평균 통화량평균 통화량: 4분위수, 25%평균 통화량: 4분위수, 50%평균 통화량: 4분위수, 75%평균 문자량평균 문자량: 4분위수, 25%평균 문자량: 4분위수, 50%평균 문자량: 4분위수, 75%평균 통화대상자 수평균 통화대상자 수: 4분위수, 25%평균 통화대상자 수: 4분위수, 50%평균 통화대상자 수: 4분위수, 75%평균 문자대상자 수평균 문자대상자 수: 4분위수, 25%평균 문자대상자 수: 4분위수, 50%평균 문자대상자 수: 4분위수, 75%데이터 사용량데이터 사용량: 4분위수, 25%데이터 사용량: 4분위수, 50%데이터 사용량: 4분위수, 75%평일 총 이동 횟수 미추정 인구수평일 총 이동 횟수평일 총 이동 횟수: 4분위수, 25%평일 총 이동 횟수: 4분위수, 50%평일 총 이동 횟수: 4분위수, 75%휴일 이동 미추정 인구수휴일 총 이동 횟수 평균휴일 총 이동 횟수: 4분위수, 25%휴일 총 이동 횟수: 4분위수, 50%휴일 총 이동 횟수: 4분위수, 75%집 추정 위치 평일 총 체류시간 미추정 인구수집 추정 위치 평일 총 체류시간집 추정 위치 평일 총 체류시간: 4분위수, 25%집 추정 위치 평일 총 체류시간: 4분위수, 50%집 추정 위치 평일 총 체류시간: 4분위수, 75%집 추정 위치 휴일 총 체류시간 미추정 인구수집 추정 위치 휴일 총 체류시간집 추정 위치 휴일 총 체류시간: 4분위수, 25%집 추정 위치 휴일 총 체류시간: 4분위수, 50%집 추정 위치 휴일 총 체류시간: 4분위수, 75%평일 총 이동 거리 미추정 인구수평일 총 이동 거리 합계평일 총 이동 거리 합계: 4분위수, 25%평일 총 이동 거리 합계: 4분위수, 50%평일 총 이동 거리 합계: 4분위수, 75%휴일 총 이동 거리 미추정 인구수휴일 총 이동 거리 합계휴일 총 이동 거리 합계: 4분위수, 25%휴일 총 이동 거리 합계: 4분위수, 50%휴일 총 이동 거리 합계: 4분위수, 75%지하철 이용 미추정 인구수지하철이동일수 합계지하철이동일수 합계: 4분위수, 25%지하철이동일수 합계: 4분위수, 50%지하철이동일수 합계: 4분위수, 75%게임 서비스 사용 미추정 인구수게임 서비스 사용일수게임 서비스 사용일수: 4분위수, 25%게임 서비스 사용일수: 4분위수, 50%게임 서비스 사용일수: 4분위수, 75%금융 서비스 사용 미추정 인구수금융 서비스 사용일수금융 서비스 사용일수: 4분위수, 25%금융 서비스 사용일수: 4분위수, 50%금융 서비스 사용일수: 4분위수, 75%쇼핑 서비스 사용 미추정 인구수쇼핑 서비스 사용일수쇼핑 서비스 사용일수: 4분위수, 25%쇼핑 서비스 사용일수: 4분위수, 50%쇼핑 서비스 사용일수: 4분위수, 75%동영상/방송 서비스 사용 미추정 인구수동영상/방송 서비스 사용일수동영상/방송 서비스 사용일수: 4분위수, 25%동영상/방송 서비스 사용일수: 4분위수, 50%동영상/방송 서비스 사용일수: 4분위수, 75%유튜브 사용 미추정 인구수유튜브 사용일수유튜브 사용일수: 4분위수, 25%유튜브 사용일수: 4분위수, 50%유튜브 사용일수: 4분위수, 75%넷플릭스 사용 미추정 인구수넷플릭스 사용일수넷플릭스 사용일수: 4분위수, 25%넷플릭스 사용일수: 4분위수, 50%넷플릭스 사용일수: 4분위수, 75%배달 서비스 사용 미추정 인구수배달 서비스 사용일수배달 서비스 사용일수: 4분위수, 25%배달 서비스 사용일수: 4분위수, 50%배달 서비스 사용일수: 4분위수, 75%배달_브랜드 서비스 사용 미추정 인구수배달_브랜드 서비스 사용일수배달_브랜드 서비스 사용일수: 4분위수, 25%배달_브랜드 서비스 사용일수: 4분위수, 50%배달_브랜드 서비스 사용일수: 4분위수, 75%배달_식재료 서비스 사용 미추정 인구수배달_식재료 서비스 사용일수배달_식재료 서비스 사용일수: 4분위수, 25%배달_식재료 서비스 사용일수: 4분위수, 50%배달_식재료 서비스 사용일수: 4분위수, 75%
51991114073마포구성산2동2351664.0398.4201.5811202.47123646.550.16204060521.02535.084805606301565.82.081.671.671.671230.276545.071666.675333.3312000.05.7435.460.01-0.22-0.060.2155.6516.6736.6770.010.563.336.6710.010.915.08.3313.335.733.335.06.676.031.243.458.1190.0222.1513.3325.030.0125.488.25.08.3311.6710.91642898.4444666.67574400.0850566.6710.91146638.5689833.33133366.67194300.0111.84657.64266.67533.33900.0147.3351.56166.67300.0500.0106.3911.036.6711.6715.084.5636.9516.6728.3346.6779.11146.0466.67131.67211.6760.01210.3798.33186.67303.33103.6632.9911.6726.6745.027.280.01-0.120.080.22616.5-0.24-0.67-0.270.16330.0713.915.011.6721.671546.72.871.671.675.01603.991.671.671.671.67
4511102054중구회현동255261.050.5101.712202.67123128.4365.16305090101.5522.08390570710252.711.671.671.671.67221.647035.091666.6710000.012000.010.3226.93-0.09-0.36-0.160.1367.8223.3346.6790.013.143.336.6716.6715.526.6711.6720.06.043.335.06.672.010.180.692.2255.9319.910.020.028.3366.298.015.06.6711.674.14751667.47536766.67742833.331003833.336.21213079.6797366.67214666.67312866.6753.86638.33200.0433.33733.3368.36397.49166.67300.0533.3368.369.35.08.3315.031.0739.5625.033.3341.6753.8670.221.6755.096.6729.0120.9435.0100.0165.058.019.766.6711.6723.3329.0-0.26-0.41-0.120.07182.29-0.5-0.67-0.67-0.4190.578.531.675.013.33258.935.05.05.05.0258.931.671.671.671.67
86131123052강남구논현1동265554.0104.2801.5911202.64123341.4652.62203070294.42474.7290490710534.843.033.333.333.33484.316375.0333.335333.3312000.09.7519.16-0.06-0.3-0.170.179.4226.6756.67123.3312.723.336.6713.3314.226.6711.6718.335.213.335.06.671.570.150.481.334.8416.468.3315.023.3387.117.033.336.6710.03.48758566.88593033.33766133.33953866.675.23195683.81114600.0190166.67271200.054.01482.69166.67333.33666.6797.56270.23100.0166.67366.67106.277.113.335.010.020.9133.1923.3331.6738.3367.9449.448.3326.6768.3327.8782.1418.3343.33118.33118.4716.393.338.3320.015.68-0.17-0.34-0.110.1459.92-0.58-0.67-0.67-0.67458.189.673.336.6715.0554.00.00.00.00.0552.261.671.671.671.67
1331101058종로구교남동225256.742.1402.0612303.2623495.257.8920507078.2579.52520590710251.62.221.671.673.33217.66623.191666.675666.6712000.04.6415.30.05-0.170.020.2764.8710.033.3396.6710.543.333.3310.07.153.336.6710.04.223.333.335.08.761.515.7813.918.521.1513.3321.6728.3317.09.16.678.3311.673.4563848.99418366.67529166.67686266.673.4139337.1480566.67123166.67186566.6710.2673.56300.0600.0900.020.4406.71166.67300.0633.3327.210.166.6710.015.018.741.4916.6730.045.018.7136.6468.33120.0183.3318.7176.2470.0145.0251.6723.832.0813.3328.3345.017.00.05-0.060.190.3386.7-0.15-0.67-0.110.2844.213.325.010.020.0249.92.081.671.671.67255.01.671.671.671.67
72701119076영등포구문래동270783.798.1801.3611201.42111782.00.0000782.00.0000782.00.00.00.00.0763.35545.45666.674666.6712000.03.749.3-0.17-0.36-0.25-0.0662.9616.6743.3386.679.943.333.3310.010.095.08.3313.333.521.673.333.330.610.050.180.5373.112.735.010.018.33171.75.483.335.06.6711.9808993.45670533.33845666.67975366.6713.6191172.94130000.0182233.33241866.6798.6374.96100.0233.33533.33214.2230.4466.67166.67300.0156.46.573.335.010.066.332.0723.3331.6736.67241.435.215.013.3340.090.152.4311.6726.6761.67287.313.361.676.6715.040.8-0.3-0.49-0.24-0.01715.7-0.64-0.67-0.67-0.67754.86.461.673.335.0782.00.00.00.00.0780.31.671.671.671.67
13671104065성동구성수1가1동275393.27156.501.5211201.0111393.270.0000393.270.0000393.270.00.00.00.0387.637777.78333.3311000.012000.03.8397.85-0.23-0.45-0.35-0.0958.0216.6736.6780.011.563.336.6716.678.775.08.3311.672.931.671.673.330.420.010.050.2597.8511.33.338.3315.0171.235.271.673.336.675.65942412.94825833.331004666.671102100.05.65260661.33194033.33258533.33334333.33127.95301.8966.67166.67400.0184.41161.2633.33100.0200.0141.136.633.335.010.075.2727.4718.3328.3333.33237.0921.813.336.6728.33109.1441.0210.020.035.0220.1611.611.675.011.6769.62-0.53-0.86-0.45-0.15365.05-0.64-0.67-0.67-0.67376.344.261.673.333.33393.270.00.00.00.0391.391.671.671.671.67
81571122051서초구서초1동265579.765.6901.4711202.16123353.651.95203070319.6421.76240390650569.52.51.671.673.33530.44402.3333.332666.676666.672.9328.9-0.1-0.32-0.170.0373.6123.3346.67106.679.83.336.6710.013.786.6711.6716.675.223.335.06.671.340.170.451.2515.318.2210.016.6725.059.57.773.336.6710.01.7770328.63588900.0792033.33930700.01.7172582.55110933.33170166.67224000.023.8558.31166.67366.67766.6771.4293.31100.0200.0366.67119.06.663.335.010.034.035.2926.6733.3340.081.645.110.026.6765.035.780.9526.6755.096.67136.014.813.338.3318.3325.5-0.14-0.3-0.080.12479.4-0.59-0.67-0.67-0.67510.06.631.675.08.33578.01.671.671.671.67571.21.671.671.671.67
93741124063송파구석촌동2302006.0720.4501.8112202.68124567.5946.81203060461.33544.355105606201910.112.311.671.673.331534.36191.531666.674333.3312000.09.749.240.1-0.140.080.3361.3316.6740.086.679.823.333.3310.010.65.08.3313.335.513.335.06.678.572.186.011.9698.4923.6616.6726.6730.0173.658.816.678.3311.6725.92608769.55453433.33556833.33752333.3325.92151733.2588700.0141633.33201866.67106.26720.58333.33600.0966.67176.24448.51200.0366.67600.0163.2811.296.6713.3315.0103.6737.0318.3328.3346.6790.71159.8591.67145.0226.6782.94210.71110.0190.0296.67129.5935.3716.6730.050.051.830.06-0.050.150.28619.42-0.14-0.67-0.080.29287.6815.15.013.3325.01860.862.671.671.673.331943.81.671.671.671.67
20561106082동대문구제기동240813.0135.4701.6311202.34123299.1257.85204080245.43516.15420570640772.092.331.671.673.33605.926608.331333.336000.012000.06.9417.90.05-0.2-0.010.2664.9816.6746.6790.012.493.336.6713.3312.935.010.016.675.793.335.06.676.20.962.518.3130.6820.8311.6723.3330.079.257.193.336.6710.00.0662442.38468766.67638500.0844000.00.0145651.4286466.67143966.67197566.6761.36591.01200.0400.0833.3397.15301.31100.0233.33400.074.149.85.010.015.033.2446.4728.3338.3355.048.58152.2758.33141.67238.3320.45228.8108.33218.33340.046.0235.5911.6728.3353.335.11-0.01-0.150.020.2393.72-0.3-0.67-0.550.11217.3114.45.010.023.33697.952.991.671.675.0782.321.671.671.671.67
56021115064양천구신정1동170251.6128.2901.6411201.37111251.610.0000251.610.0000247.651.671.671.671.67239.739722.228000.012000.012000.02.3611.89-0.05-0.31-0.10.1442.5110.026.6753.3314.383.333.336.6712.695.010.015.04.191.673.335.01.540.210.531.6617.8319.0110.016.6726.6733.687.685.06.6710.00.0744856.43557800.0733000.0941966.670.0170679.27109800.0171233.33224533.3331.7739.04200.0533.33933.3341.61326.42100.0233.33433.3337.649.835.08.3315.011.8937.2528.3333.3341.6749.5341.818.3330.063.3319.8154.2720.036.6765.049.5316.783.338.3321.6711.89-0.14-0.35-0.070.17225.86-0.63-0.67-0.67-0.67243.692.921.671.673.33251.610.00.00.00.0251.610.00.00.00.0
행정동코드자치구행정동성별연령대총인구수1인가구수야간상주지 변경 미추정 인구 수야간상주지 변경횟수 평균야간상주지 변경횟수: 4분위수, 25%야간상주지 변경횟수: 4분위수, 50%야간상주지 변경횟수: 4분위수, 75%주간상주지 변경 미추정 인구수주간상주지 변경횟수 평균주간상주지 변경횟수: 4분위수, 25%주간상주지 변경횟수: 4분위수, 50%주간상주지 변경횟수: 4분위수, 75%출근 소요시간 미추정 인구수평균 출근 소요시간 평균평균 출근 소요시간: 4분위수, 25%평균 출근 소요시간: 4분위수, 50%평균 출근 소요시간: 4분위수, 75%근무시간 미추정 인구수평균 근무시간 평균평균 근무시간: 4분위수, 25%평균 근무시간: 4분위수, 50%평균 근무시간: 4분위수, 75%소액결재 비사용 인구수소액결재 사용횟수 평균소액결재 사용횟수: 4분위수, 25%소액결재 사용횟수: 4분위수, 50%소액결재 사용횟수: 4분위수, 75%소액결재 사용 금액 없는 인구수소액결재 사용금액 평균소액결재 사용금액: 4분위수, 25%소액결재 사용금액: 4분위수, 50%소액결재 사용금액: 4분위수, 75%최근 3개월 내 요금 연체 비율카카오톡 비사용 인구수SNS 사용횟수SNS 사용횟수: 4분위수, 25%SNS 사용횟수: 4분위수, 50%SNS 사용횟수: 4분위수, 75%평균 통화량평균 통화량: 4분위수, 25%평균 통화량: 4분위수, 50%평균 통화량: 4분위수, 75%평균 문자량평균 문자량: 4분위수, 25%평균 문자량: 4분위수, 50%평균 문자량: 4분위수, 75%평균 통화대상자 수평균 통화대상자 수: 4분위수, 25%평균 통화대상자 수: 4분위수, 50%평균 통화대상자 수: 4분위수, 75%평균 문자대상자 수평균 문자대상자 수: 4분위수, 25%평균 문자대상자 수: 4분위수, 50%평균 문자대상자 수: 4분위수, 75%데이터 사용량데이터 사용량: 4분위수, 25%데이터 사용량: 4분위수, 50%데이터 사용량: 4분위수, 75%평일 총 이동 횟수 미추정 인구수평일 총 이동 횟수평일 총 이동 횟수: 4분위수, 25%평일 총 이동 횟수: 4분위수, 50%평일 총 이동 횟수: 4분위수, 75%휴일 이동 미추정 인구수휴일 총 이동 횟수 평균휴일 총 이동 횟수: 4분위수, 25%휴일 총 이동 횟수: 4분위수, 50%휴일 총 이동 횟수: 4분위수, 75%집 추정 위치 평일 총 체류시간 미추정 인구수집 추정 위치 평일 총 체류시간집 추정 위치 평일 총 체류시간: 4분위수, 25%집 추정 위치 평일 총 체류시간: 4분위수, 50%집 추정 위치 평일 총 체류시간: 4분위수, 75%집 추정 위치 휴일 총 체류시간 미추정 인구수집 추정 위치 휴일 총 체류시간집 추정 위치 휴일 총 체류시간: 4분위수, 25%집 추정 위치 휴일 총 체류시간: 4분위수, 50%집 추정 위치 휴일 총 체류시간: 4분위수, 75%평일 총 이동 거리 미추정 인구수평일 총 이동 거리 합계평일 총 이동 거리 합계: 4분위수, 25%평일 총 이동 거리 합계: 4분위수, 50%평일 총 이동 거리 합계: 4분위수, 75%휴일 총 이동 거리 미추정 인구수휴일 총 이동 거리 합계휴일 총 이동 거리 합계: 4분위수, 25%휴일 총 이동 거리 합계: 4분위수, 50%휴일 총 이동 거리 합계: 4분위수, 75%지하철 이용 미추정 인구수지하철이동일수 합계지하철이동일수 합계: 4분위수, 25%지하철이동일수 합계: 4분위수, 50%지하철이동일수 합계: 4분위수, 75%게임 서비스 사용 미추정 인구수게임 서비스 사용일수게임 서비스 사용일수: 4분위수, 25%게임 서비스 사용일수: 4분위수, 50%게임 서비스 사용일수: 4분위수, 75%금융 서비스 사용 미추정 인구수금융 서비스 사용일수금융 서비스 사용일수: 4분위수, 25%금융 서비스 사용일수: 4분위수, 50%금융 서비스 사용일수: 4분위수, 75%쇼핑 서비스 사용 미추정 인구수쇼핑 서비스 사용일수쇼핑 서비스 사용일수: 4분위수, 25%쇼핑 서비스 사용일수: 4분위수, 50%쇼핑 서비스 사용일수: 4분위수, 75%동영상/방송 서비스 사용 미추정 인구수동영상/방송 서비스 사용일수동영상/방송 서비스 사용일수: 4분위수, 25%동영상/방송 서비스 사용일수: 4분위수, 50%동영상/방송 서비스 사용일수: 4분위수, 75%유튜브 사용 미추정 인구수유튜브 사용일수유튜브 사용일수: 4분위수, 25%유튜브 사용일수: 4분위수, 50%유튜브 사용일수: 4분위수, 75%넷플릭스 사용 미추정 인구수넷플릭스 사용일수넷플릭스 사용일수: 4분위수, 25%넷플릭스 사용일수: 4분위수, 50%넷플릭스 사용일수: 4분위수, 75%배달 서비스 사용 미추정 인구수배달 서비스 사용일수배달 서비스 사용일수: 4분위수, 25%배달 서비스 사용일수: 4분위수, 50%배달 서비스 사용일수: 4분위수, 75%배달_브랜드 서비스 사용 미추정 인구수배달_브랜드 서비스 사용일수배달_브랜드 서비스 사용일수: 4분위수, 25%배달_브랜드 서비스 사용일수: 4분위수, 50%배달_브랜드 서비스 사용일수: 4분위수, 75%배달_식재료 서비스 사용 미추정 인구수배달_식재료 서비스 사용일수배달_식재료 서비스 사용일수: 4분위수, 25%배달_식재료 서비스 사용일수: 4분위수, 50%배달_식재료 서비스 사용일수: 4분위수, 75%
13891104066성동구성수1가2동265385.066.401.411202.47123213.6643.88203060169.32443.55250470660380.972.51.671.673.33364.845100.01000.01666.6712000.03.6618.14-0.06-0.3-0.120.1175.7723.3360.0103.339.53.336.6710.013.186.6711.6716.674.211.673.335.01.270.110.391.0232.2515.286.6713.3323.3338.36.53.335.08.330.0812402.09598100.0853800.01012466.670.0183823.56118200.0181400.0246066.6758.46450.41166.67300.0600.060.47275.36100.0233.33366.6726.28.835.08.3313.3322.1736.4225.033.3340.074.5846.098.3325.061.6726.271.7318.3343.3393.3378.6114.013.336.6716.6718.14-0.18-0.36-0.140.08342.67-0.62-0.67-0.67-0.67338.648.121.675.013.33385.00.00.00.00.0380.971.671.671.671.67
5401102059중구광희동220251.6142.9502.6922302.98134119.061.69304080100.3553.41440600710243.12.51.671.673.33217.67333.332666.679000.012000.011.560.00.04-0.160.020.2177.023.3356.67123.3313.173.336.6713.337.343.336.6710.04.413.333.335.011.03.147.1117.193.421.6215.021.6730.08.58.855.08.3311.670.0624946.94489333.33622433.33759700.01.7136392.2475100.0121333.33183100.03.4626.44333.33533.33800.08.5397.89133.33333.33533.338.59.675.010.015.00.036.118.3330.043.330.0119.1865.0115.0163.330.0158.5880.0126.67211.671.732.213.3321.6745.00.00.210.070.230.3757.8-0.13-0.67-0.150.2718.715.746.6711.6725.0244.83.891.675.05.0246.51.671.671.671.67
36991110063도봉구창5동135917.0105.8701.6411202.47123287.6363.93306090236.37548.31490570650865.741.881.671.671.67615.135865.382000.04333.3312000.07.8122.780.21-0.080.250.5669.7720.046.6796.6710.793.336.6710.016.526.6711.6721.676.03.335.06.6711.913.058.7315.7359.826.2120.028.3335.0108.229.095.010.011.678.54602633.23418166.67514700.0751600.08.54143718.5179266.67130600.0194200.074.04998.3433.33866.671366.67119.61411.03166.67366.67566.6782.5912.6310.015.016.6742.7266.5135.055.096.6776.89180.97100.0176.67271.6751.26204.95101.67185.0286.6774.0443.7218.3336.6768.3319.930.150.010.270.39287.63-0.19-0.67-0.160.21219.2816.16.6713.3328.33774.612.811.671.675.0897.071.671.671.671.67
97431125051강동구강일동275945.2301.4101.5111201.01111943.50.0000943.50.0000941.81.671.671.671.67923.15027.78666.672333.338666.674.86232.9-0.25-0.45-0.35-0.1752.3913.3330.073.338.543.333.336.677.83.336.6710.02.721.671.673.330.350.010.050.2144.511.553.338.3316.67331.55.271.675.06.671.7838093.56694566.67877200.01013966.671.7197794.4138866.67193666.67257700.0176.8277.6166.67133.33300.0409.7157.1133.33100.0200.0268.66.83.335.010.0192.127.5318.3328.3333.33564.420.43.338.3325.0275.427.546.6715.030.0554.29.241.675.010.0178.5-0.55-0.95-0.5-0.13911.2-0.65-0.67-0.67-0.67918.04.441.673.335.0943.50.00.00.00.0941.81.671.671.671.67
24981107068중랑구망우3동130694.0112.8601.8312202.93134260.7363.45305080226.22561.23500590710651.822.121.671.673.33437.17666.672666.679000.012000.014.9226.840.21-0.090.280.5469.3416.6740.096.6710.833.333.3310.013.985.010.018.335.733.335.06.6712.894.010.3418.6446.0124.2916.6726.6731.6795.868.745.08.3311.673.83631047.22457500.0582566.67782400.03.83176372.59104500.0160433.33228333.3353.68991.62333.33766.671433.33118.86416.22133.33333.33633.3357.5112.048.3313.3316.6723.0169.0335.053.33110.065.18154.7683.33141.67233.3338.34173.6880.0148.33255.069.0244.7321.6740.063.3319.170.190.130.290.42214.72-0.18-0.67-0.20.24168.7119.168.3318.3333.33636.492.891.671.675.0686.331.671.671.671.67
86021123052강남구논현1동170338.354.9301.4511201.35111338.30.0000338.30.0000328.12.781.673.333.33300.96500.0666.673333.3312000.05.0323.8-0.05-0.33-0.120.1648.7113.3330.063.3313.663.336.6713.3313.935.010.018.335.243.333.336.672.590.120.581.8534.018.5310.018.3325.052.77.615.06.6710.011.9723554.51538966.67717966.67922833.3311.9185909.03106066.67182100.0258066.6734.0659.96166.67466.67866.6754.4340.72133.33266.67466.6762.99.335.08.3315.025.535.0328.3335.041.6762.939.28.3323.3353.3328.963.4718.3336.6776.6793.520.135.011.6723.3318.7-0.14-0.32-0.090.19295.8-0.62-0.67-0.67-0.67311.19.583.335.013.33336.65.05.05.05.0338.30.00.00.00.0
4671102055중구명동175119.031.3401.6111201.0111119.00.0000119.00.0000119.00.00.00.00.0117.3333.33333.33333.33333.332.8622.1-0.11-0.44-0.240.1537.526.6720.053.3310.913.336.6710.011.363.338.3313.333.861.673.335.01.130.040.250.9811.915.325.011.6723.3327.26.73.335.010.00.0707718.57504733.33752033.33936233.331.7206206.2894000.0195166.67319933.3311.9507.94133.33233.33633.3328.9254.7266.67133.33266.6728.98.361.675.016.6718.736.0728.3333.3340.045.934.463.3311.6733.3325.540.8513.3326.6741.6745.914.653.336.6718.3317.0-0.38-0.7-0.260.05105.4-0.63-0.67-0.67-0.67117.31.671.671.671.67119.00.00.00.00.0119.00.00.00.00.0
90721124051송파구풍납1동120563.060.1101.9112203.19135228.4646.59203050203.99500.0350500710546.681.671.671.671.67522.27933.333333.3312000.012000.015.948.16-0.04-0.28-0.060.153.046.6723.3353.3312.323.336.6713.335.613.335.06.673.261.673.333.3310.41.436.5215.9940.818.5410.020.025.073.437.363.336.6710.00.0695830.43525466.67720866.67856766.670.0166298.0788066.67167400.0229700.073.43498.89233.33400.0600.081.59228.81100.0166.67300.073.438.445.08.3311.678.1666.9628.3355.096.6724.4895.7145.078.33118.3316.32101.4446.6778.33115.016.3230.8710.020.043.330.00.190.050.290.42195.83-0.22-0.67-0.270.15179.519.611.675.016.67497.722.291.671.673.33563.00.00.00.00.0
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