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 (84.2%)Imbalance
야간상주지 변경횟수: 4분위수, 75% is highly imbalanced (58.9%)Imbalance
주간상주지 변경횟수: 4분위수, 25% is highly imbalanced (57.3%)Imbalance
평균 문자량: 4분위수, 25% is highly imbalanced (97.9%)Imbalance
넷플릭스 사용일수: 4분위수, 25% is highly skewed (γ1 = 22.41446692)Skewed
평균 출근 소요시간 평균 has 1594 (15.9%) zerosZeros
평균 출근 소요시간: 4분위수, 25% has 1594 (15.9%) zerosZeros
평균 출근 소요시간: 4분위수, 50% has 1594 (15.9%) zerosZeros
평균 출근 소요시간: 4분위수, 75% has 1594 (15.9%) zerosZeros
평균 근무시간 평균 has 1577 (15.8%) zerosZeros
평균 근무시간: 4분위수, 25% has 1577 (15.8%) zerosZeros
평균 근무시간: 4분위수, 50% has 1577 (15.8%) zerosZeros
평균 근무시간: 4분위수, 75% has 1577 (15.8%) zerosZeros
소액결재 사용횟수 평균 has 812 (8.1%) zerosZeros
카카오톡 비사용 인구수 has 365 (3.6%) zerosZeros
SNS 사용횟수 has 325 (3.2%) zerosZeros
SNS 사용횟수: 4분위수, 50% has 266 (2.7%) zerosZeros
데이터 사용량: 4분위수, 25% has 397 (4.0%) zerosZeros
집 추정 위치 평일 총 체류시간 미추정 인구수 has 2275 (22.8%) zerosZeros
집 추정 위치 휴일 총 체류시간 미추정 인구수 has 1235 (12.3%) zerosZeros
쇼핑 서비스 사용 미추정 인구수 has 135 (1.4%) zerosZeros
유튜브 사용 미추정 인구수 has 342 (3.4%) zerosZeros
유튜브 사용일수 has 206 (2.1%) zerosZeros
유튜브 사용일수: 4분위수, 50% has 118 (1.2%) zerosZeros
배달_브랜드 서비스 사용일수 has 1536 (15.4%) zerosZeros

Reproduction

Analysis started2024-05-04 06:54:49.718842
Analysis finished2024-05-04 06:54:56.436858
Duration6.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동코드
Real number (ℝ)

Distinct424
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1113666.2
Minimum1101053
Maximum1125074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:54:56.744764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101053
5-th percentile1102058
Q11107069
median1114069
Q31121052
95-th percentile1124079
Maximum1125074
Range24021
Interquartile range (IQR)13983

Descriptive statistics

Standard deviation7406.1643
Coefficient of variation (CV)0.0066502549
Kurtosis-1.2537051
Mean1113666.2
Median Absolute Deviation (MAD)6992
Skewness-0.084525789
Sum1.1136662 × 1010
Variance54851270
MonotonicityNot monotonic
2024-05-04T06:54:57.390644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123066 24
 
0.2%
1111052 24
 
0.2%
1120072 24
 
0.2%
1105062 24
 
0.2%
1101063 24
 
0.2%
1123063 24
 
0.2%
1124082 24
 
0.2%
1125067 24
 
0.2%
1117062 24
 
0.2%
1103069 24
 
0.2%
Other values (414) 9760
97.6%
ValueCountFrequency (%)
1101053 24
0.2%
1101054 24
0.2%
1101055 22
0.2%
1101056 23
0.2%
1101057 23
0.2%
1101058 24
0.2%
1101060 24
0.2%
1101061 24
0.2%
1101063 24
0.2%
1101064 24
0.2%
ValueCountFrequency (%)
1125074 23
0.2%
1125073 23
0.2%
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 24
0.2%

자치구
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송파구
 
637
강남구
 
520
관악구
 
497
성북구
 
477
강서구
 
471
Other values (20)
7398 

Length

Max length4
Median length3
Mean length3.073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구
2nd row광진구
3rd row양천구
4th row강남구
5th row성동구

Common Values

ValueCountFrequency (%)
송파구 637
 
6.4%
강남구 520
 
5.2%
관악구 497
 
5.0%
성북구 477
 
4.8%
강서구 471
 
4.7%
노원구 446
 
4.5%
서초구 427
 
4.3%
강동구 426
 
4.3%
양천구 424
 
4.2%
영등포구 419
 
4.2%
Other values (15) 5256
52.6%

Length

2024-05-04T06:54:57.893950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 637
 
6.4%
강남구 520
 
5.2%
관악구 497
 
5.0%
성북구 477
 
4.8%
강서구 471
 
4.7%
노원구 446
 
4.5%
서초구 427
 
4.3%
강동구 426
 
4.3%
양천구 424
 
4.2%
영등포구 419
 
4.2%
Other values (15) 5256
52.6%
Distinct423
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T06:54:58.658204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7929
Min length2

Characters and Unicode

Total characters37929
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 row도곡1동
2nd row능동
3rd row목2동
4th row도곡2동
5th row행당1동
ValueCountFrequency (%)
신사동 47
 
0.5%
구로1동 24
 
0.2%
구의3동 24
 
0.2%
용강동 24
 
0.2%
용산2가동 24
 
0.2%
도봉2동 24
 
0.2%
성수1가1동 24
 
0.2%
중화1동 24
 
0.2%
사당1동 24
 
0.2%
고척2동 24
 
0.2%
Other values (413) 9737
97.4%
2024-05-04T06:54:59.829994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10046
26.5%
1 2291
 
6.0%
2 2285
 
6.0%
3 1013
 
2.7%
886
 
2.3%
4 615
 
1.6%
540
 
1.4%
427
 
1.1%
401
 
1.1%
398
 
1.0%
Other values (178) 19027
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30829
81.3%
Decimal Number 6885
 
18.2%
Other Punctuation 215
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10046
32.6%
886
 
2.9%
540
 
1.8%
427
 
1.4%
401
 
1.3%
398
 
1.3%
381
 
1.2%
380
 
1.2%
376
 
1.2%
372
 
1.2%
Other values (167) 16622
53.9%
Decimal Number
ValueCountFrequency (%)
1 2291
33.3%
2 2285
33.2%
3 1013
14.7%
4 615
 
8.9%
5 255
 
3.7%
6 168
 
2.4%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%
0 24
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 215
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30829
81.3%
Common 7100
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10046
32.6%
886
 
2.9%
540
 
1.8%
427
 
1.4%
401
 
1.3%
398
 
1.3%
381
 
1.2%
380
 
1.2%
376
 
1.2%
372
 
1.2%
Other values (167) 16622
53.9%
Common
ValueCountFrequency (%)
1 2291
32.3%
2 2285
32.2%
3 1013
14.3%
4 615
 
8.7%
5 255
 
3.6%
· 215
 
3.0%
6 168
 
2.4%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30829
81.3%
ASCII 6885
 
18.2%
None 215
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10046
32.6%
886
 
2.9%
540
 
1.8%
427
 
1.4%
401
 
1.3%
398
 
1.3%
381
 
1.2%
380
 
1.2%
376
 
1.2%
372
 
1.2%
Other values (167) 16622
53.9%
ASCII
ValueCountFrequency (%)
1 2291
33.3%
2 2285
33.2%
3 1013
14.7%
4 615
 
8.9%
5 255
 
3.7%
6 168
 
2.4%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%
0 24
 
0.3%
None
ValueCountFrequency (%)
· 215
100.0%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5009 
2
4991 

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 5009
50.1%
2 4991
49.9%

Length

2024-05-04T06:55:00.230356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:00.675389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5009
50.1%
2 4991
49.9%

연령대
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.501
Minimum20
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:00.984509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median45
Q365
95-th percentile75
Maximum75
Range55
Interquartile range (IQR)35

Descriptive statistics

Standard deviation17.269187
Coefficient of variation (CV)0.36355418
Kurtosis-1.2197955
Mean47.501
Median Absolute Deviation (MAD)15
Skewness0.00022805718
Sum475010
Variance298.22482
MonotonicityNot monotonic
2024-05-04T06:55:01.490674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
70 840
8.4%
25 840
8.4%
35 837
8.4%
60 834
8.3%
65 834
8.3%
30 833
8.3%
45 832
8.3%
75 831
8.3%
55 830
8.3%
20 830
8.3%
Other values (2) 1659
16.6%
ValueCountFrequency (%)
20 830
8.3%
25 840
8.4%
30 833
8.3%
35 837
8.4%
40 829
8.3%
45 832
8.3%
50 830
8.3%
55 830
8.3%
60 834
8.3%
65 834
8.3%
ValueCountFrequency (%)
75 831
8.3%
70 840
8.4%
65 834
8.3%
60 834
8.3%
55 830
8.3%
50 830
8.3%
45 832
8.3%
40 829
8.3%
35 837
8.4%
30 833
8.3%

총인구수
Real number (ℝ)

Distinct3225
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean831.00077
Minimum25.6
Maximum4789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:01.905278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.6
5-th percentile268.76
Q1534.4
median773
Q31057
95-th percentile1584
Maximum4789
Range4763.4
Interquartile range (IQR)522.6

Descriptive statistics

Standard deviation414.94376
Coefficient of variation (CV)0.49933017
Kurtosis2.5945641
Mean831.00077
Median Absolute Deviation (MAD)257.2
Skewness1.0556814
Sum8310007.7
Variance172178.32
MonotonicityNot monotonic
2024-05-04T06:55:02.338291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
624.0 22
 
0.2%
869.0 22
 
0.2%
829.0 19
 
0.2%
760.0 18
 
0.2%
754.0 18
 
0.2%
895.0 18
 
0.2%
936.0 17
 
0.2%
896.0 17
 
0.2%
817.0 16
 
0.2%
704.0 15
 
0.1%
Other values (3215) 9818
98.2%
ValueCountFrequency (%)
25.6 1
< 0.1%
31.5 1
< 0.1%
33.6 2
< 0.1%
35.2 1
< 0.1%
38.4 1
< 0.1%
40.0 1
< 0.1%
41.6 1
< 0.1%
43.2 1
< 0.1%
44.8 1
< 0.1%
45.5 1
< 0.1%
ValueCountFrequency (%)
4789.0 1
< 0.1%
3602.0 1
< 0.1%
3129.0 1
< 0.1%
3114.0 1
< 0.1%
3095.0 1
< 0.1%
3060.0 1
< 0.1%
3034.0 1
< 0.1%
2978.0 1
< 0.1%
2971.0 1
< 0.1%
2957.0 1
< 0.1%

1인가구수
Real number (ℝ)

Distinct8087
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.2868
Minimum7.55
Maximum2847.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:02.735809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.55
5-th percentile33.989
Q170.3
median112.775
Q3182.1625
95-th percentile413.793
Maximum2847.08
Range2839.53
Interquartile range (IQR)111.8625

Descriptive statistics

Standard deviation170.86479
Coefficient of variation (CV)1.0863263
Kurtosis44.190985
Mean157.2868
Median Absolute Deviation (MAD)50.735
Skewness5.1751586
Sum1572868
Variance29194.775
MonotonicityNot monotonic
2024-05-04T06:55:03.155045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.69 6
 
0.1%
61.31 6
 
0.1%
63.56 5
 
0.1%
50.81 5
 
0.1%
74.05 5
 
0.1%
71.97 5
 
0.1%
126.67 4
 
< 0.1%
47.88 4
 
< 0.1%
121.96 4
 
< 0.1%
146.3 4
 
< 0.1%
Other values (8077) 9952
99.5%
ValueCountFrequency (%)
7.55 1
< 0.1%
8.34 1
< 0.1%
8.91 1
< 0.1%
9.2 1
< 0.1%
9.79 1
< 0.1%
9.94 1
< 0.1%
10.32 1
< 0.1%
10.58 1
< 0.1%
10.59 1
< 0.1%
10.62 1
< 0.1%
ValueCountFrequency (%)
2847.08 1
< 0.1%
2819.39 1
< 0.1%
2419.91 1
< 0.1%
2304.36 1
< 0.1%
2261.16 1
< 0.1%
2259.98 1
< 0.1%
2111.25 1
< 0.1%
2103.41 1
< 0.1%
1916.51 1
< 0.1%
1911.85 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

2024-05-04T06:55:03.485541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:03.681327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct191
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.664986
Minimum1
Maximum3.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:04.004429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.34
Q11.47
median1.59
Q31.8
95-th percentile2.23
Maximum3.37
Range2.37
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.28091271
Coefficient of variation (CV)0.16871776
Kurtosis2.6802112
Mean1.664986
Median Absolute Deviation (MAD)0.15
Skewness1.4310865
Sum16649.86
Variance0.078911951
MonotonicityNot monotonic
2024-05-04T06:55:04.413984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.46 219
 
2.2%
1.55 210
 
2.1%
1.44 209
 
2.1%
1.49 207
 
2.1%
1.51 203
 
2.0%
1.57 201
 
2.0%
1.53 198
 
2.0%
1.52 198
 
2.0%
1.54 196
 
2.0%
1.48 196
 
2.0%
Other values (181) 7963
79.6%
ValueCountFrequency (%)
1.0 3
< 0.1%
1.11 1
 
< 0.1%
1.13 1
 
< 0.1%
1.16 1
 
< 0.1%
1.17 1
 
< 0.1%
1.18 4
< 0.1%
1.19 1
 
< 0.1%
1.2 6
0.1%
1.21 3
< 0.1%
1.22 3
< 0.1%
ValueCountFrequency (%)
3.37 1
< 0.1%
3.27 1
< 0.1%
3.21 1
< 0.1%
3.12 1
< 0.1%
3.11 1
< 0.1%
3.06 1
< 0.1%
3.05 1
< 0.1%
3.01 1
< 0.1%
3.0 1
< 0.1%
2.99 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9770 
2
 
230

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 9770
97.7%
2 230
 
2.3%

Length

2024-05-04T06:55:04.809477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:05.102398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9770
97.7%
2 230
 
2.3%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7182 
2
2744 
3
 
74

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 7182
71.8%
2 2744
 
27.4%
3 74
 
0.7%

Length

2024-05-04T06:55:05.419682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:05.732324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7182
71.8%
2 2744
 
27.4%
3 74
 
0.7%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8312 
3
1229 
1
 
401
4
 
58

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8312
83.1%
3 1229
 
12.3%
1 401
 
4.0%
4 58
 
0.6%

Length

2024-05-04T06:55:05.921586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:06.113724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8312
83.1%
3 1229
 
12.3%
1 401
 
4.0%
4 58
 
0.6%
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

2024-05-04T06:55:06.461435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:06.661337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct323
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.314569
Minimum1
Maximum4.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:06.864711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.01
Q12.09
median2.36
Q32.65
95-th percentile3.4705
Maximum4.86
Range3.86
Interquartile range (IQR)0.56

Descriptive statistics

Standard deviation0.70841609
Coefficient of variation (CV)0.30606825
Kurtosis0.2632501
Mean2.314569
Median Absolute Deviation (MAD)0.28
Skewness-0.088776885
Sum23145.69
Variance0.50185336
MonotonicityNot monotonic
2024-05-04T06:55:07.151502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 484
 
4.8%
1.01 237
 
2.4%
2.3 125
 
1.2%
2.35 122
 
1.2%
2.4 118
 
1.2%
2.24 118
 
1.2%
2.32 117
 
1.2%
2.43 116
 
1.2%
2.33 115
 
1.1%
2.25 114
 
1.1%
Other values (313) 8334
83.3%
ValueCountFrequency (%)
1.0 484
4.8%
1.01 237
2.4%
1.02 85
 
0.9%
1.03 23
 
0.2%
1.04 7
 
0.1%
1.05 5
 
0.1%
1.06 5
 
0.1%
1.07 18
 
0.2%
1.08 12
 
0.1%
1.09 37
 
0.4%
ValueCountFrequency (%)
4.86 1
 
< 0.1%
4.77 1
 
< 0.1%
4.68 1
 
< 0.1%
4.61 1
 
< 0.1%
4.51 1
 
< 0.1%
4.5 1
 
< 0.1%
4.44 3
< 0.1%
4.43 1
 
< 0.1%
4.42 1
 
< 0.1%
4.41 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8408 
2
1517 
3
 
75

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 8408
84.1%
2 1517
 
15.2%
3 75
 
0.8%

Length

2024-05-04T06:55:07.406585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:07.768303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8408
84.1%
2 1517
 
15.2%
3 75
 
0.8%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6248 
1
2152 
3
1303 
4
 
294
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6248
62.5%
1 2152
 
21.5%
3 1303
 
13.0%
4 294
 
2.9%
5 3
 
< 0.1%

Length

2024-05-04T06:55:08.097904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:08.415216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6248
62.5%
1 2152
 
21.5%
3 1303
 
13.0%
4 294
 
2.9%
5 3
 
< 0.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.919
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:08.726455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0821072
Coefficient of variation (CV)0.37071163
Kurtosis0.11197177
Mean2.919
Median Absolute Deviation (MAD)0
Skewness-0.22921773
Sum29190
Variance1.1709561
MonotonicityNot monotonic
2024-05-04T06:55:09.074948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 5456
54.6%
4 1766
 
17.7%
1 1673
 
16.7%
5 513
 
5.1%
2 508
 
5.1%
6 84
 
0.8%
ValueCountFrequency (%)
1 1673
 
16.7%
2 508
 
5.1%
3 5456
54.6%
4 1766
 
17.7%
5 513
 
5.1%
6 84
 
0.8%
ValueCountFrequency (%)
6 84
 
0.8%
5 513
 
5.1%
4 1766
 
17.7%
3 5456
54.6%
2 508
 
5.1%
1 1673
 
16.7%
Distinct8117
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.41632
Minimum0
Maximum2717.4
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:09.635423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile132.139
Q1256.2375
median358.4
Q3486.4
95-th percentile756.165
Maximum2717.4
Range2717.4
Interquartile range (IQR)230.1625

Descriptive statistics

Standard deviation200.54172
Coefficient of variation (CV)0.51234889
Kurtosis5.2278098
Mean391.41632
Median Absolute Deviation (MAD)112.565
Skewness1.4666926
Sum3914163.2
Variance40216.98
MonotonicityNot monotonic
2024-05-04T06:55:10.067096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342.4 14
 
0.1%
305.6 13
 
0.1%
448.0 12
 
0.1%
379.2 11
 
0.1%
334.4 11
 
0.1%
382.4 11
 
0.1%
337.6 11
 
0.1%
425.6 11
 
0.1%
320.0 10
 
0.1%
222.4 10
 
0.1%
Other values (8107) 9886
98.9%
ValueCountFrequency (%)
0.0 2
< 0.1%
16.0 2
< 0.1%
20.8 1
 
< 0.1%
21.36 1
 
< 0.1%
22.4 1
 
< 0.1%
24.0 1
 
< 0.1%
25.6 2
< 0.1%
26.22 1
 
< 0.1%
27.2 2
< 0.1%
28.8 3
< 0.1%
ValueCountFrequency (%)
2717.4 1
< 0.1%
1872.8 1
< 0.1%
1872.24 1
< 0.1%
1718.85 1
< 0.1%
1579.18 1
< 0.1%
1572.37 1
< 0.1%
1540.06 1
< 0.1%
1531.72 1
< 0.1%
1511.83 1
< 0.1%
1499.94 1
< 0.1%

평균 출근 소요시간 평균
Real number (ℝ)

ZEROS 

Distinct2888
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.604853
Minimum0
Maximum170
Zeros1594
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:10.710183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.93
median57.8
Q363.97
95-th percentile72.8605
Maximum170
Range170
Interquartile range (IQR)13.04

Descriptive statistics

Standard deviation23.558049
Coefficient of variation (CV)0.46552944
Kurtosis1.0978105
Mean50.604853
Median Absolute Deviation (MAD)6.47
Skewness-1.2930675
Sum506048.53
Variance554.98168
MonotonicityNot monotonic
2024-05-04T06:55:11.238421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1594
 
15.9%
60.0 27
 
0.3%
70.0 21
 
0.2%
50.0 19
 
0.2%
10.0 14
 
0.1%
65.0 13
 
0.1%
20.0 13
 
0.1%
65.05 11
 
0.1%
59.23 11
 
0.1%
57.76 10
 
0.1%
Other values (2878) 8267
82.7%
ValueCountFrequency (%)
0.0 1594
15.9%
10.0 14
 
0.1%
20.0 13
 
0.1%
25.0 1
 
< 0.1%
30.0 9
 
0.1%
34.55 1
 
< 0.1%
35.0 1
 
< 0.1%
38.0 1
 
< 0.1%
38.44 1
 
< 0.1%
38.5 1
 
< 0.1%
ValueCountFrequency (%)
170.0 5
0.1%
160.0 1
 
< 0.1%
150.0 2
 
< 0.1%
132.96 1
 
< 0.1%
120.0 3
< 0.1%
118.75 1
 
< 0.1%
118.33 1
 
< 0.1%
110.0 3
< 0.1%
103.57 1
 
< 0.1%
100.0 2
 
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.144
Minimum0
Maximum170
Zeros1594
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:11.621104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q330
95-th percentile40
Maximum170
Range170
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.319028
Coefficient of variation (CV)0.55631447
Kurtosis15.561802
Mean22.144
Median Absolute Deviation (MAD)10
Skewness0.97055914
Sum221440
Variance151.75844
MonotonicityNot monotonic
2024-05-04T06:55:11.855130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
30 3891
38.9%
20 3800
38.0%
0 1594
15.9%
40 572
 
5.7%
10 76
 
0.8%
50 30
 
0.3%
60 11
 
0.1%
170 5
 
0.1%
90 5
 
0.1%
80 4
 
< 0.1%
Other values (6) 12
 
0.1%
ValueCountFrequency (%)
0 1594
15.9%
10 76
 
0.8%
20 3800
38.0%
30 3891
38.9%
40 572
 
5.7%
50 30
 
0.3%
60 11
 
0.1%
70 4
 
< 0.1%
80 4
 
< 0.1%
90 5
 
0.1%
ValueCountFrequency (%)
170 5
0.1%
160 1
 
< 0.1%
150 2
 
< 0.1%
120 2
 
< 0.1%
110 1
 
< 0.1%
100 2
 
< 0.1%
90 5
0.1%
80 4
 
< 0.1%
70 4
 
< 0.1%
60 11
0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.106
Minimum0
Maximum170
Zeros1594
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:12.153780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median40
Q350
95-th percentile60
Maximum170
Range170
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.398928
Coefficient of variation (CV)0.49606014
Kurtosis1.9638715
Mean39.106
Median Absolute Deviation (MAD)10
Skewness-0.70497563
Sum391060
Variance376.3184
MonotonicityNot monotonic
2024-05-04T06:55:12.380838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
40 3426
34.3%
50 3204
32.0%
0 1594
15.9%
60 1007
 
10.1%
30 508
 
5.1%
70 168
 
1.7%
80 27
 
0.3%
20 18
 
0.2%
10 17
 
0.2%
90 13
 
0.1%
Other values (7) 18
 
0.2%
ValueCountFrequency (%)
0 1594
15.9%
10 17
 
0.2%
20 18
 
0.2%
30 508
 
5.1%
40 3426
34.3%
50 3204
32.0%
60 1007
 
10.1%
70 168
 
1.7%
80 27
 
0.3%
90 13
 
0.1%
ValueCountFrequency (%)
170 6
 
0.1%
160 1
 
< 0.1%
150 3
 
< 0.1%
140 1
 
< 0.1%
120 3
 
< 0.1%
110 1
 
< 0.1%
100 3
 
< 0.1%
90 13
 
0.1%
80 27
 
0.3%
70 168
1.7%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.811
Minimum0
Maximum170
Zeros1594
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:12.636946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median80
Q390
95-th percentile100
Maximum170
Range170
Interquartile range (IQR)30

Descriptive statistics

Standard deviation33.031006
Coefficient of variation (CV)0.48710396
Kurtosis0.54353222
Mean67.811
Median Absolute Deviation (MAD)10
Skewness-0.99966795
Sum678110
Variance1091.0474
MonotonicityNot monotonic
2024-05-04T06:55:12.854259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
80 2357
23.6%
70 2212
22.1%
0 1594
15.9%
90 1591
15.9%
60 874
 
8.7%
100 761
 
7.6%
110 264
 
2.6%
120 93
 
0.9%
50 88
 
0.9%
130 40
 
0.4%
Other values (8) 126
 
1.3%
ValueCountFrequency (%)
0 1594
15.9%
10 14
 
0.1%
20 13
 
0.1%
30 7
 
0.1%
40 14
 
0.1%
50 88
 
0.9%
60 874
 
8.7%
70 2212
22.1%
80 2357
23.6%
90 1591
15.9%
ValueCountFrequency (%)
170 22
 
0.2%
160 13
 
0.1%
150 17
 
0.2%
140 26
 
0.3%
130 40
 
0.4%
120 93
 
0.9%
110 264
 
2.6%
100 761
 
7.6%
90 1591
15.9%
80 2357
23.6%
Distinct8076
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean353.14225
Minimum0
Maximum2292.46
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:13.101644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113.5985
Q1226.4575
median319.87
Q3441.2525
95-th percentile699.487
Maximum2292.46
Range2292.46
Interquartile range (IQR)214.795

Descriptive statistics

Standard deviation189.00753
Coefficient of variation (CV)0.53521643
Kurtosis4.6827607
Mean353.14225
Median Absolute Deviation (MAD)104.13
Skewness1.4987564
Sum3531422.5
Variance35723.847
MonotonicityNot monotonic
2024-05-04T06:55:13.470226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337.6 15
 
0.1%
276.8 12
 
0.1%
369.6 12
 
0.1%
454.4 12
 
0.1%
243.2 11
 
0.1%
331.2 11
 
0.1%
382.4 11
 
0.1%
332.8 11
 
0.1%
411.2 10
 
0.1%
300.8 10
 
0.1%
Other values (8066) 9885
98.9%
ValueCountFrequency (%)
0.0 2
< 0.1%
8.0 1
 
< 0.1%
11.2 1
 
< 0.1%
14.4 1
 
< 0.1%
18.07 1
 
< 0.1%
19.2 2
< 0.1%
19.67 1
 
< 0.1%
20.8 3
< 0.1%
22.0 1
 
< 0.1%
22.4 1
 
< 0.1%
ValueCountFrequency (%)
2292.46 1
< 0.1%
1872.24 1
< 0.1%
1579.18 1
< 0.1%
1547.27 1
< 0.1%
1499.94 1
< 0.1%
1462.4 1
< 0.1%
1457.93 1
< 0.1%
1420.88 1
< 0.1%
1418.2 1
< 0.1%
1390.45 1
< 0.1%

평균 근무시간 평균
Real number (ℝ)

ZEROS 

Distinct5702
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.09955
Minimum0
Maximum720
Zeros1577
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:13.872468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1489.44
median522.485
Q3545.14
95-th percentile567.4105
Maximum720
Range720
Interquartile range (IQR)55.7

Descriptive statistics

Standard deviation195.38653
Coefficient of variation (CV)0.44095401
Kurtosis1.261479
Mean443.09955
Median Absolute Deviation (MAD)25.935
Skewness-1.7567443
Sum4430995.5
Variance38175.894
MonotonicityNot monotonic
2024-05-04T06:55:14.316695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1577
 
15.8%
720.0 23
 
0.2%
550.0 13
 
0.1%
560.0 8
 
0.1%
544.38 7
 
0.1%
540.0 7
 
0.1%
530.0 7
 
0.1%
510.0 6
 
0.1%
554.0 6
 
0.1%
538.95 6
 
0.1%
Other values (5692) 8340
83.4%
ValueCountFrequency (%)
0.0 1577
15.8%
40.0 3
 
< 0.1%
50.0 3
 
< 0.1%
60.0 2
 
< 0.1%
70.0 1
 
< 0.1%
80.0 2
 
< 0.1%
100.0 1
 
< 0.1%
110.0 4
 
< 0.1%
130.0 2
 
< 0.1%
140.0 2
 
< 0.1%
ValueCountFrequency (%)
720.0 23
0.2%
715.0 1
 
< 0.1%
690.0 1
 
< 0.1%
682.67 1
 
< 0.1%
660.0 1
 
< 0.1%
656.67 1
 
< 0.1%
655.0 1
 
< 0.1%
651.0 1
 
< 0.1%
650.67 1
 
< 0.1%
650.0 1
 
< 0.1%

평균 근무시간: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362.655
Minimum0
Maximum720
Zeros1577
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:14.741743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1350
median430
Q3470
95-th percentile510
Maximum720
Range720
Interquartile range (IQR)120

Descriptive statistics

Standard deviation169.11428
Coefficient of variation (CV)0.46632277
Kurtosis0.54487141
Mean362.655
Median Absolute Deviation (MAD)50
Skewness-1.3835499
Sum3626550
Variance28599.641
MonotonicityNot monotonic
2024-05-04T06:55:15.181786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1577
15.8%
490 688
 
6.9%
480 672
 
6.7%
470 585
 
5.9%
500 543
 
5.4%
460 542
 
5.4%
430 489
 
4.9%
450 486
 
4.9%
440 479
 
4.8%
420 464
 
4.6%
Other values (53) 3475
34.8%
ValueCountFrequency (%)
0 1577
15.8%
40 3
 
< 0.1%
50 3
 
< 0.1%
60 2
 
< 0.1%
70 2
 
< 0.1%
80 2
 
< 0.1%
100 1
 
< 0.1%
110 4
 
< 0.1%
130 2
 
< 0.1%
140 3
 
< 0.1%
ValueCountFrequency (%)
720 23
0.2%
710 1
 
< 0.1%
690 1
 
< 0.1%
680 2
 
< 0.1%
660 2
 
< 0.1%
650 1
 
< 0.1%
630 1
 
< 0.1%
620 4
 
< 0.1%
600 4
 
< 0.1%
590 3
 
< 0.1%

평균 근무시간: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.813
Minimum0
Maximum720
Zeros1577
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:15.604117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median550
Q3570
95-th percentile590
Maximum720
Range720
Interquartile range (IQR)50

Descriptive statistics

Standard deviation205.80164
Coefficient of variation (CV)0.44181171
Kurtosis1.2400144
Mean465.813
Median Absolute Deviation (MAD)20
Skewness-1.7429316
Sum4658130
Variance42354.314
MonotonicityNot monotonic
2024-05-04T06:55:16.046440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1577
15.8%
560 1473
14.7%
550 1283
12.8%
570 1261
12.6%
540 986
9.9%
580 772
7.7%
530 612
 
6.1%
520 418
 
4.2%
590 361
 
3.6%
510 239
 
2.4%
Other values (48) 1018
10.2%
ValueCountFrequency (%)
0 1577
15.8%
40 3
 
< 0.1%
50 3
 
< 0.1%
60 2
 
< 0.1%
70 2
 
< 0.1%
80 2
 
< 0.1%
100 1
 
< 0.1%
110 4
 
< 0.1%
130 2
 
< 0.1%
140 2
 
< 0.1%
ValueCountFrequency (%)
720 77
0.8%
710 7
 
0.1%
700 7
 
0.1%
690 12
 
0.1%
680 6
 
0.1%
670 15
 
0.1%
660 21
 
0.2%
650 20
 
0.2%
640 24
 
0.2%
630 35
0.4%

평균 근무시간: 4분위수, 75%
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560.992
Minimum0
Maximum720
Zeros1577
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:16.444239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1620
median660
Q3700
95-th percentile720
Maximum720
Range720
Interquartile range (IQR)80

Descriptive statistics

Standard deviation247.60179
Coefficient of variation (CV)0.44136421
Kurtosis1.2464649
Mean560.992
Median Absolute Deviation (MAD)40
Skewness-1.7571362
Sum5609920
Variance61306.647
MonotonicityNot monotonic
2024-05-04T06:55:16.892476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
720 2017
20.2%
0 1577
15.8%
660 752
 
7.5%
650 705
 
7.0%
640 668
 
6.7%
670 643
 
6.4%
630 584
 
5.8%
680 554
 
5.5%
620 552
 
5.5%
610 462
 
4.6%
Other values (42) 1486
14.9%
ValueCountFrequency (%)
0 1577
15.8%
40 3
 
< 0.1%
50 3
 
< 0.1%
60 2
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
100 1
 
< 0.1%
110 4
 
< 0.1%
130 2
 
< 0.1%
140 2
 
< 0.1%
ValueCountFrequency (%)
720 2017
20.2%
710 279
 
2.8%
700 356
 
3.6%
690 433
 
4.3%
680 554
 
5.5%
670 643
 
6.4%
660 752
 
7.5%
650 705
 
7.0%
640 668
 
6.7%
630 584
 
5.8%
Distinct8625
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.02875
Minimum25.6
Maximum4624.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:17.339506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.6
5-th percentile262.5045
Q1521.6
median749
Q31020.275
95-th percentile1521.9105
Maximum4624.05
Range4598.45
Interquartile range (IQR)498.675

Descriptive statistics

Standard deviation396.39799
Coefficient of variation (CV)0.49362864
Kurtosis2.5933031
Mean803.02875
Median Absolute Deviation (MAD)244.89
Skewness1.0460311
Sum8030287.5
Variance157131.37
MonotonicityNot monotonic
2024-05-04T06:55:17.772236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
376.0 10
 
0.1%
500.8 10
 
0.1%
456.0 9
 
0.1%
448.0 9
 
0.1%
422.4 9
 
0.1%
488.0 8
 
0.1%
374.4 8
 
0.1%
403.2 8
 
0.1%
473.6 8
 
0.1%
585.6 7
 
0.1%
Other values (8615) 9914
99.1%
ValueCountFrequency (%)
25.6 1
 
< 0.1%
31.5 1
 
< 0.1%
32.0 1
 
< 0.1%
33.6 1
 
< 0.1%
35.2 1
 
< 0.1%
38.4 3
< 0.1%
41.6 1
 
< 0.1%
43.75 1
 
< 0.1%
44.8 1
 
< 0.1%
46.4 1
 
< 0.1%
ValueCountFrequency (%)
4624.05 1
< 0.1%
3538.81 1
< 0.1%
3044.74 1
< 0.1%
2870.59 1
< 0.1%
2861.47 1
< 0.1%
2838.26 1
< 0.1%
2829.92 1
< 0.1%
2823.59 1
< 0.1%
2810.26 1
< 0.1%
2804.5 1
< 0.1%

소액결재 사용횟수 평균
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.222924
Minimum0
Maximum3.33
Zeros812
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:18.179392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.08
median2.41
Q32.6
95-th percentile3.33
Maximum3.33
Range3.33
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.76842359
Coefficient of variation (CV)0.34568145
Kurtosis3.0521794
Mean2.222924
Median Absolute Deviation (MAD)0.24
Skewness-1.7306834
Sum22229.24
Variance0.59047482
MonotonicityNot monotonic
2024-05-04T06:55:18.641915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 1152
 
11.5%
1.67 983
 
9.8%
0.0 812
 
8.1%
3.33 626
 
6.3%
2.22 583
 
5.8%
2.78 374
 
3.7%
2.33 364
 
3.6%
2.08 287
 
2.9%
2.67 260
 
2.6%
2.38 213
 
2.1%
Other values (114) 4346
43.5%
ValueCountFrequency (%)
0.0 812
8.1%
1.67 983
9.8%
1.77 1
 
< 0.1%
1.79 2
 
< 0.1%
1.81 2
 
< 0.1%
1.82 5
 
0.1%
1.83 8
 
0.1%
1.85 16
 
0.2%
1.88 34
 
0.3%
1.9 40
 
0.4%
ValueCountFrequency (%)
3.33 626
6.3%
3.24 1
 
< 0.1%
3.18 2
 
< 0.1%
3.15 5
 
0.1%
3.13 8
 
0.1%
3.11 1
 
< 0.1%
3.1 15
 
0.1%
3.08 1
 
< 0.1%
3.07 1
 
< 0.1%
3.06 25
 
0.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8405 
0.0
 
812
3.33
 
783

Length

Max length4
Median length4
Mean length3.9188
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 8405
84.0%
0.0 812
 
8.1%
3.33 783
 
7.8%

Length

2024-05-04T06:55:19.067735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:19.411141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8405
84.0%
0.0 812
 
8.1%
3.33 783
 
7.8%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6042 
3.33
3146 
0.0
812 

Length

Max length4
Median length4
Mean length3.9188
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 6042
60.4%
3.33 3146
31.5%
0.0 812
 
8.1%

Length

2024-05-04T06:55:19.854292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:20.175728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6042
60.4%
3.33 3146
31.5%
0.0 812
 
8.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
7424 
1.67
1764 
0.0
812 

Length

Max length4
Median length4
Mean length3.9188
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 7424
74.2%
1.67 1764
 
17.6%
0.0 812
 
8.1%

Length

2024-05-04T06:55:20.588673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:20.921568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 7424
74.2%
1.67 1764
 
17.6%
0.0 812
 
8.1%
Distinct8519
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean690.46991
Minimum22.4
Maximum4235.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:21.397672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.4
5-th percentile236.8
Q1460.9675
median648.3
Q3869.09
95-th percentile1284.8025
Maximum4235.46
Range4213.06
Interquartile range (IQR)408.1225

Descriptive statistics

Standard deviation329.66258
Coefficient of variation (CV)0.47744671
Kurtosis3.3888733
Mean690.46991
Median Absolute Deviation (MAD)201.265
Skewness1.0910637
Sum6904699.1
Variance108677.42
MonotonicityNot monotonic
2024-05-04T06:55:21.905840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452.8 12
 
0.1%
608.0 10
 
0.1%
550.4 9
 
0.1%
350.4 9
 
0.1%
700.8 9
 
0.1%
371.2 9
 
0.1%
427.2 9
 
0.1%
552.0 8
 
0.1%
320.0 8
 
0.1%
406.4 8
 
0.1%
Other values (8509) 9909
99.1%
ValueCountFrequency (%)
22.4 1
 
< 0.1%
28.8 1
 
< 0.1%
29.75 1
 
< 0.1%
30.4 1
 
< 0.1%
33.6 1
 
< 0.1%
35.0 1
 
< 0.1%
35.2 3
< 0.1%
36.8 1
 
< 0.1%
38.5 1
 
< 0.1%
41.6 1
 
< 0.1%
ValueCountFrequency (%)
4235.46 1
< 0.1%
3270.87 1
< 0.1%
2795.8 1
< 0.1%
2696.62 1
< 0.1%
2650.89 1
< 0.1%
2466.74 1
< 0.1%
2441.12 1
< 0.1%
2417.24 1
< 0.1%
2409.44 1
< 0.1%
2399.41 1
< 0.1%
Distinct6662
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5898.1872
Minimum0
Maximum11666.67
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:22.341216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3611.11
Q15166.67
median5956.79
Q36688.89
95-th percentile7975.867
Maximum11666.67
Range11666.67
Interquartile range (IQR)1522.22

Descriptive statistics

Standard deviation1418.6499
Coefficient of variation (CV)0.24052303
Kurtosis2.8791951
Mean5898.1872
Median Absolute Deviation (MAD)763.775
Skewness-0.25474779
Sum58981872
Variance2012567.5
MonotonicityNot monotonic
2024-05-04T06:55:22.818578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000.0 58
 
0.6%
6333.33 45
 
0.4%
11666.67 45
 
0.4%
5333.33 38
 
0.4%
6666.67 34
 
0.3%
4666.67 32
 
0.3%
5666.67 29
 
0.3%
5000.0 28
 
0.3%
7000.0 26
 
0.3%
6500.0 25
 
0.2%
Other values (6652) 9640
96.4%
ValueCountFrequency (%)
0.0 23
0.2%
333.33 25
0.2%
444.44 4
 
< 0.1%
500.0 5
 
0.1%
666.67 6
 
0.1%
777.78 1
 
< 0.1%
800.0 2
 
< 0.1%
833.33 4
 
< 0.1%
875.0 1
 
< 0.1%
888.89 1
 
< 0.1%
ValueCountFrequency (%)
11666.67 45
0.4%
11600.0 1
 
< 0.1%
11500.0 1
 
< 0.1%
11333.33 3
 
< 0.1%
11200.0 1
 
< 0.1%
11166.67 1
 
< 0.1%
11041.67 1
 
< 0.1%
11000.0 4
 
< 0.1%
10722.22 1
 
< 0.1%
10666.67 1
 
< 0.1%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1553.2329
Minimum0
Maximum11666.67
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:23.507247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile333.33
Q1666.67
median1333.33
Q32000
95-th percentile3333.33
Maximum11666.67
Range11666.67
Interquartile range (IQR)1333.33

Descriptive statistics

Standard deviation1374.7002
Coefficient of variation (CV)0.88505734
Kurtosis25.511984
Mean1553.2329
Median Absolute Deviation (MAD)666.66
Skewness4.2197555
Sum15532329
Variance1889800.7
MonotonicityNot monotonic
2024-05-04T06:55:23.901874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1333.33 2208
22.1%
666.67 1343
13.4%
333.33 1339
13.4%
1666.67 1263
12.6%
1000.0 1150
11.5%
2000.0 970
9.7%
2333.33 587
 
5.9%
2666.67 380
 
3.8%
3333.33 180
 
1.8%
3000.0 141
 
1.4%
Other values (26) 439
 
4.4%
ValueCountFrequency (%)
0.0 23
 
0.2%
333.33 1339
13.4%
666.67 1343
13.4%
1000.0 1150
11.5%
1333.33 2208
22.1%
1666.67 1263
12.6%
2000.0 970
9.7%
2333.33 587
 
5.9%
2666.67 380
 
3.8%
3000.0 141
 
1.4%
ValueCountFrequency (%)
11666.67 74
0.7%
11333.33 2
 
< 0.1%
11000.0 4
 
< 0.1%
10666.67 2
 
< 0.1%
10333.33 4
 
< 0.1%
10000.0 3
 
< 0.1%
9666.67 3
 
< 0.1%
9333.33 7
 
0.1%
9000.0 3
 
< 0.1%
8666.67 5
 
0.1%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5050.4336
Minimum0
Maximum11666.67
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:24.332848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1333.33
Q13000
median4333.33
Q36333.33
95-th percentile11666.67
Maximum11666.67
Range11666.67
Interquartile range (IQR)3333.33

Descriptive statistics

Standard deviation2953.7565
Coefficient of variation (CV)0.58485205
Kurtosis0.06147579
Mean5050.4336
Median Absolute Deviation (MAD)1666.66
Skewness0.8769637
Sum50504336
Variance8724677.2
MonotonicityNot monotonic
2024-05-04T06:55:24.698781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3666.67 949
 
9.5%
11666.67 804
 
8.0%
3333.33 774
 
7.7%
4333.33 568
 
5.7%
4000.0 531
 
5.3%
4666.67 495
 
5.0%
2666.67 471
 
4.7%
5666.67 439
 
4.4%
5000.0 429
 
4.3%
3000.0 402
 
4.0%
Other values (26) 4138
41.4%
ValueCountFrequency (%)
0.0 23
 
0.2%
333.33 178
 
1.8%
666.67 157
 
1.6%
1000.0 121
 
1.2%
1333.33 276
2.8%
1666.67 223
2.2%
2000.0 267
2.7%
2333.33 388
3.9%
2666.67 471
4.7%
3000.0 402
4.0%
ValueCountFrequency (%)
11666.67 804
8.0%
11333.33 45
 
0.4%
11000.0 58
 
0.6%
10666.67 51
 
0.5%
10333.33 67
 
0.7%
10000.0 77
 
0.8%
9666.67 82
 
0.8%
9333.33 94
 
0.9%
9000.0 91
 
0.9%
8666.67 99
 
1.0%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10665.236
Minimum0
Maximum11666.67
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:25.305533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4333.33
Q111666.67
median11666.67
Q311666.67
95-th percentile11666.67
Maximum11666.67
Range11666.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2379.0059
Coefficient of variation (CV)0.22306173
Kurtosis5.9682154
Mean10665.236
Median Absolute Deviation (MAD)0
Skewness-2.5856949
Sum1.0665236 × 108
Variance5659669.2
MonotonicityNot monotonic
2024-05-04T06:55:25.825920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
11666.67 7803
78.0%
11000.0 143
 
1.4%
10000.0 111
 
1.1%
7333.33 104
 
1.0%
10666.67 97
 
1.0%
11333.33 95
 
0.9%
6666.67 94
 
0.9%
9666.67 92
 
0.9%
9000.0 90
 
0.9%
7666.67 87
 
0.9%
Other values (26) 1284
 
12.8%
ValueCountFrequency (%)
0.0 23
0.2%
333.33 29
0.3%
666.67 23
0.2%
1000.0 19
0.2%
1333.33 35
0.4%
1666.67 31
0.3%
2000.0 30
0.3%
2333.33 27
0.3%
2666.67 35
0.4%
3000.0 25
0.2%
ValueCountFrequency (%)
11666.67 7803
78.0%
11333.33 95
 
0.9%
11000.0 143
 
1.4%
10666.67 97
 
1.0%
10333.33 83
 
0.8%
10000.0 111
 
1.1%
9666.67 92
 
0.9%
9333.33 83
 
0.8%
9000.0 90
 
0.9%
8666.67 86
 
0.9%
Distinct1480
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.80152
Minimum0
Maximum25
Zeros50
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:26.431085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3
Q14.3
median6.37
Q38.75
95-th percentile12.91
Maximum25
Range25
Interquartile range (IQR)4.45

Descriptive statistics

Standard deviation3.3175127
Coefficient of variation (CV)0.48776048
Kurtosis0.81299313
Mean6.80152
Median Absolute Deviation (MAD)2.2
Skewness0.75588921
Sum68015.2
Variance11.00589
MonotonicityNot monotonic
2024-05-04T06:55:27.087806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
0.5%
5.26 34
 
0.3%
6.67 33
 
0.3%
5.88 31
 
0.3%
7.69 31
 
0.3%
8.33 31
 
0.3%
7.14 27
 
0.3%
4.17 27
 
0.3%
3.85 25
 
0.2%
6.01 25
 
0.2%
Other values (1470) 9686
96.9%
ValueCountFrequency (%)
0.0 50
0.5%
0.37 2
 
< 0.1%
0.4 1
 
< 0.1%
0.42 1
 
< 0.1%
0.44 1
 
< 0.1%
0.46 1
 
< 0.1%
0.5 3
 
< 0.1%
0.52 1
 
< 0.1%
0.53 1
 
< 0.1%
0.55 4
 
< 0.1%
ValueCountFrequency (%)
25.0 2
< 0.1%
24.69 1
< 0.1%
23.86 1
< 0.1%
23.08 1
< 0.1%
22.61 1
< 0.1%
22.22 1
< 0.1%
21.68 1
< 0.1%
21.55 1
< 0.1%
21.05 1
< 0.1%
20.51 1
< 0.1%

카카오톡 비사용 인구수
Real number (ℝ)

ZEROS 

Distinct4987
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.183038
Minimum0
Maximum637.56
Zeros365
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:28.047383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.72
Q114.4
median27.2
Q345.385
95-th percentile121.5785
Maximum637.56
Range637.56
Interquartile range (IQR)30.985

Descriptive statistics

Standard deviation52.537894
Coefficient of variation (CV)1.3074645
Kurtosis24.661782
Mean40.183038
Median Absolute Deviation (MAD)14.57
Skewness4.2837595
Sum401830.38
Variance2760.2303
MonotonicityNot monotonic
2024-05-04T06:55:28.870666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 365
 
3.6%
16.0 64
 
0.6%
17.6 61
 
0.6%
20.8 59
 
0.6%
22.4 59
 
0.6%
35.2 59
 
0.6%
24.0 58
 
0.6%
28.8 55
 
0.5%
19.2 54
 
0.5%
27.2 53
 
0.5%
Other values (4977) 9113
91.1%
ValueCountFrequency (%)
0.0 365
3.6%
1.6 16
 
0.2%
1.62 1
 
< 0.1%
1.64 1
 
< 0.1%
1.65 2
 
< 0.1%
1.67 1
 
< 0.1%
1.69 1
 
< 0.1%
1.71 1
 
< 0.1%
1.85 1
 
< 0.1%
1.87 1
 
< 0.1%
ValueCountFrequency (%)
637.56 1
< 0.1%
612.17 1
< 0.1%
542.32 1
< 0.1%
539.61 1
< 0.1%
531.12 1
< 0.1%
525.54 1
< 0.1%
523.2 1
< 0.1%
514.43 1
< 0.1%
502.58 1
< 0.1%
478.85 1
< 0.1%

SNS 사용횟수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003635
Minimum-0.33
Maximum0.37
Zeros325
Zeros (%)3.2%
Negative4790
Negative (%)47.9%
Memory size166.0 KiB
2024-05-04T06:55:29.369392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.33
5-th percentile-0.23
Q1-0.07
median0
Q30.08
95-th percentile0.18
Maximum0.37
Range0.7
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.11588261
Coefficient of variation (CV)-31.879673
Kurtosis-0.23349101
Mean-0.003635
Median Absolute Deviation (MAD)0.08
Skewness-0.31354179
Sum-36.35
Variance0.01342878
MonotonicityNot monotonic
2024-05-04T06:55:30.125873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.06 376
 
3.8%
-0.07 351
 
3.5%
-0.05 348
 
3.5%
0.02 347
 
3.5%
0.01 335
 
3.4%
0.0 325
 
3.2%
0.04 323
 
3.2%
0.05 322
 
3.2%
-0.08 321
 
3.2%
-0.02 321
 
3.2%
Other values (52) 6631
66.3%
ValueCountFrequency (%)
-0.33 1
 
< 0.1%
-0.31 4
 
< 0.1%
-0.3 19
 
0.2%
-0.29 36
 
0.4%
-0.28 77
0.8%
-0.27 92
0.9%
-0.26 75
0.8%
-0.25 81
0.8%
-0.24 83
0.8%
-0.23 79
0.8%
ValueCountFrequency (%)
0.37 1
 
< 0.1%
0.29 1
 
< 0.1%
0.27 1
 
< 0.1%
0.26 7
 
0.1%
0.25 6
 
0.1%
0.24 21
 
0.2%
0.23 33
 
0.3%
0.22 65
0.7%
0.21 81
0.8%
0.2 108
1.1%
Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.246734
Minimum-0.46
Maximum0.07
Zeros21
Zeros (%)0.2%
Negative9953
Negative (%)99.5%
Memory size166.0 KiB
2024-05-04T06:55:30.797800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.46
5-th percentile-0.46
Q1-0.3
median-0.25
Q3-0.18
95-th percentile-0.08
Maximum0.07
Range0.53
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.10419366
Coefficient of variation (CV)-0.42229146
Kurtosis-0.20323532
Mean-0.246734
Median Absolute Deviation (MAD)0.06
Skewness-0.20405348
Sum-2467.34
Variance0.010856319
MonotonicityNot monotonic
2024-05-04T06:55:31.464951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.46 686
 
6.9%
-0.28 537
 
5.4%
-0.27 485
 
4.9%
-0.26 450
 
4.5%
-0.29 437
 
4.4%
-0.25 423
 
4.2%
-0.24 396
 
4.0%
-0.22 381
 
3.8%
-0.21 366
 
3.7%
-0.23 360
 
3.6%
Other values (44) 5479
54.8%
ValueCountFrequency (%)
-0.46 686
6.9%
-0.45 60
 
0.6%
-0.44 37
 
0.4%
-0.43 39
 
0.4%
-0.42 55
 
0.5%
-0.41 67
 
0.7%
-0.4 88
 
0.9%
-0.39 91
 
0.9%
-0.38 117
 
1.2%
-0.37 121
 
1.2%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.06 1
 
< 0.1%
0.05 4
 
< 0.1%
0.04 4
 
< 0.1%
0.03 3
 
< 0.1%
0.02 6
 
0.1%
0.01 7
 
0.1%
0.0 21
0.2%
-0.01 21
0.2%
-0.02 38
0.4%

SNS 사용횟수: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.048885
Minimum-0.46
Maximum0.36
Zeros266
Zeros (%)2.7%
Negative6057
Negative (%)60.6%
Memory size166.0 KiB
2024-05-04T06:55:31.910605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.46
5-th percentile-0.34
Q1-0.14
median-0.05
Q30.06
95-th percentile0.19
Maximum0.36
Range0.82
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.15007391
Coefficient of variation (CV)-3.0699378
Kurtosis-0.088751282
Mean-0.048885
Median Absolute Deviation (MAD)0.1
Skewness-0.27607092
Sum-488.85
Variance0.022522179
MonotonicityNot monotonic
2024-05-04T06:55:32.480270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 340
 
3.4%
-0.12 332
 
3.3%
-0.14 305
 
3.0%
-0.11 296
 
3.0%
-0.15 281
 
2.8%
-0.1 272
 
2.7%
-0.03 272
 
2.7%
0.0 266
 
2.7%
-0.02 264
 
2.6%
-0.01 263
 
2.6%
Other values (70) 7109
71.1%
ValueCountFrequency (%)
-0.46 5
 
0.1%
-0.45 10
 
0.1%
-0.44 19
 
0.2%
-0.43 32
0.3%
-0.42 49
0.5%
-0.41 44
0.4%
-0.4 64
0.6%
-0.39 50
0.5%
-0.38 45
0.4%
-0.37 53
0.5%
ValueCountFrequency (%)
0.36 1
 
< 0.1%
0.32 3
 
< 0.1%
0.31 2
 
< 0.1%
0.3 6
 
0.1%
0.29 3
 
< 0.1%
0.28 12
 
0.1%
0.27 31
0.3%
0.26 37
0.4%
0.25 48
0.5%
0.24 59
0.6%
Distinct95
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.206811
Minimum-0.3
Maximum0.67
Zeros77
Zeros (%)0.8%
Negative1024
Negative (%)10.2%
Memory size166.0 KiB
2024-05-04T06:55:33.000374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3
5-th percentile-0.1
Q10.09
median0.21
Q30.32
95-th percentile0.49
Maximum0.67
Range0.97
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.17301056
Coefficient of variation (CV)0.83656362
Kurtosis-0.3870381
Mean0.206811
Median Absolute Deviation (MAD)0.12
Skewness-0.10488544
Sum2068.11
Variance0.029932654
MonotonicityNot monotonic
2024-05-04T06:55:33.566096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 246
 
2.5%
0.29 240
 
2.4%
0.11 235
 
2.4%
0.25 234
 
2.3%
0.3 227
 
2.3%
0.12 223
 
2.2%
0.07 222
 
2.2%
0.17 222
 
2.2%
0.32 222
 
2.2%
0.09 221
 
2.2%
Other values (85) 7708
77.1%
ValueCountFrequency (%)
-0.3 1
 
< 0.1%
-0.29 1
 
< 0.1%
-0.27 1
 
< 0.1%
-0.26 2
 
< 0.1%
-0.25 5
 
0.1%
-0.24 10
 
0.1%
-0.23 6
 
0.1%
-0.22 26
0.3%
-0.21 26
0.3%
-0.2 31
0.3%
ValueCountFrequency (%)
0.67 1
 
< 0.1%
0.65 1
 
< 0.1%
0.64 3
 
< 0.1%
0.62 3
 
< 0.1%
0.61 3
 
< 0.1%
0.6 7
 
0.1%
0.59 14
0.1%
0.58 15
0.1%
0.57 23
0.2%
0.56 28
0.3%

평균 통화량
Real number (ℝ)

Distinct3983
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.506023
Minimum20.47
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:34.130608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.47
5-th percentile35.2095
Q156.81
median65.2
Q371.05
95-th percentile77.8005
Maximum130
Range109.53
Interquartile range (IQR)14.24

Descriptive statistics

Standard deviation12.399519
Coefficient of variation (CV)0.19837319
Kurtosis0.95634643
Mean62.506023
Median Absolute Deviation (MAD)6.76
Skewness-0.97683052
Sum625060.23
Variance153.74808
MonotonicityNot monotonic
2024-05-04T06:55:34.629645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.72 13
 
0.1%
69.38 13
 
0.1%
65.16 11
 
0.1%
67.14 10
 
0.1%
73.93 10
 
0.1%
70.94 10
 
0.1%
64.32 10
 
0.1%
68.27 10
 
0.1%
67.33 10
 
0.1%
67.91 10
 
0.1%
Other values (3973) 9893
98.9%
ValueCountFrequency (%)
20.47 1
< 0.1%
20.48 1
< 0.1%
21.4 1
< 0.1%
21.94 1
< 0.1%
22.14 1
< 0.1%
22.56 1
< 0.1%
22.76 1
< 0.1%
22.82 1
< 0.1%
22.87 1
< 0.1%
23.33 1
< 0.1%
ValueCountFrequency (%)
130.0 1
< 0.1%
123.33 1
< 0.1%
107.95 1
< 0.1%
104.44 1
< 0.1%
99.05 1
< 0.1%
98.0 1
< 0.1%
97.98 1
< 0.1%
94.14 1
< 0.1%
92.98 1
< 0.1%
92.88 1
< 0.1%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.351728
Minimum3.33
Maximum123.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:35.012014image/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
Maximum123.33
Range120
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.9187303
Coefficient of variation (CV)0.32251624
Kurtosis10.571123
Mean18.351728
Median Absolute Deviation (MAD)3.34
Skewness0.75842424
Sum183517.28
Variance35.031368
MonotonicityNot monotonic
2024-05-04T06:55:35.465924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
16.67 2150
21.5%
20.0 1962
19.6%
23.33 1660
16.6%
13.33 1647
16.5%
26.67 964
9.6%
10.0 856
 
8.6%
6.67 419
 
4.2%
30.0 264
 
2.6%
33.33 53
 
0.5%
36.67 14
 
0.1%
Other values (8) 11
 
0.1%
ValueCountFrequency (%)
3.33 3
 
< 0.1%
6.67 419
 
4.2%
10.0 856
 
8.6%
13.33 1647
16.5%
16.67 2150
21.5%
20.0 1962
19.6%
23.33 1660
16.6%
26.67 964
9.6%
30.0 264
 
2.6%
33.33 53
 
0.5%
ValueCountFrequency (%)
123.33 1
 
< 0.1%
76.67 1
 
< 0.1%
60.0 1
 
< 0.1%
50.0 1
 
< 0.1%
46.67 1
 
< 0.1%
43.33 1
 
< 0.1%
40.0 2
 
< 0.1%
36.67 14
 
0.1%
33.33 53
 
0.5%
30.0 264
2.6%
Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.653695
Minimum10
Maximum123.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:35.910552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q133.33
median43.33
Q350
95-th percentile56.67
Maximum123.33
Range113.33
Interquartile range (IQR)16.67

Descriptive statistics

Standard deviation10.999912
Coefficient of variation (CV)0.26408009
Kurtosis0.51881135
Mean41.653695
Median Absolute Deviation (MAD)6.67
Skewness-0.34288379
Sum416536.95
Variance120.99806
MonotonicityNot monotonic
2024-05-04T06:55:36.364648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
46.67 1271
12.7%
43.33 1245
12.4%
50.0 1173
11.7%
40.0 1116
11.2%
36.67 950
9.5%
53.33 838
8.4%
33.33 760
7.6%
30.0 531
5.3%
56.67 516
5.2%
26.67 372
 
3.7%
Other values (15) 1228
12.3%
ValueCountFrequency (%)
10.0 2
 
< 0.1%
13.33 133
 
1.3%
16.67 255
 
2.5%
20.0 202
 
2.0%
23.33 250
 
2.5%
26.67 372
 
3.7%
30.0 531
5.3%
33.33 760
7.6%
36.67 950
9.5%
40.0 1116
11.2%
ValueCountFrequency (%)
123.33 1
 
< 0.1%
110.0 2
 
< 0.1%
96.67 1
 
< 0.1%
83.33 1
 
< 0.1%
76.67 2
 
< 0.1%
73.33 1
 
< 0.1%
70.0 12
 
0.1%
66.67 39
 
0.4%
63.33 92
 
0.9%
60.0 235
2.4%
Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.004315
Minimum23.33
Maximum206.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:36.840165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.33
5-th percentile43.33
Q176.67
median93.33
Q3103.33
95-th percentile116.67
Maximum206.67
Range183.34
Interquartile range (IQR)26.66

Descriptive statistics

Standard deviation21.29353
Coefficient of variation (CV)0.24196006
Kurtosis0.50452789
Mean88.004315
Median Absolute Deviation (MAD)13.33
Skewness-0.64298864
Sum880043.15
Variance453.41441
MonotonicityNot monotonic
2024-05-04T06:55:37.437433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
100.0 810
 
8.1%
93.33 794
 
7.9%
96.67 756
 
7.6%
103.33 705
 
7.0%
90.0 652
 
6.5%
86.67 606
 
6.1%
106.67 592
 
5.9%
83.33 530
 
5.3%
110.0 475
 
4.8%
80.0 472
 
4.7%
Other values (35) 3608
36.1%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
26.67 17
 
0.2%
30.0 73
0.7%
33.33 123
1.2%
36.67 123
1.2%
40.0 109
1.1%
43.33 112
1.1%
46.67 107
1.1%
50.0 92
0.9%
53.33 140
1.4%
ValueCountFrequency (%)
206.67 1
 
< 0.1%
200.0 1
 
< 0.1%
183.33 1
 
< 0.1%
166.67 2
 
< 0.1%
156.67 3
 
< 0.1%
153.33 2
 
< 0.1%
150.0 2
 
< 0.1%
146.67 2
 
< 0.1%
143.33 4
< 0.1%
140.0 8
0.1%

평균 문자량
Real number (ℝ)

Distinct1315
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.89643
Minimum0
Maximum33.89
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:38.089133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.58
Q110.07
median11.78
Q313.65
95-th percentile16.3205
Maximum33.89
Range33.89
Interquartile range (IQR)3.58

Descriptive statistics

Standard deviation2.7709783
Coefficient of variation (CV)0.2329252
Kurtosis1.5739195
Mean11.89643
Median Absolute Deviation (MAD)1.78
Skewness0.34821916
Sum118964.3
Variance7.6783207
MonotonicityNot monotonic
2024-05-04T06:55:38.605942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 70
 
0.7%
13.33 54
 
0.5%
11.67 51
 
0.5%
6.67 30
 
0.3%
11.11 28
 
0.3%
11.24 28
 
0.3%
11.61 26
 
0.3%
10.56 25
 
0.2%
12.41 25
 
0.2%
8.33 24
 
0.2%
Other values (1305) 9639
96.4%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 11
0.1%
3.61 1
 
< 0.1%
3.75 1
 
< 0.1%
3.81 1
 
< 0.1%
3.89 2
 
< 0.1%
3.94 1
 
< 0.1%
4.0 2
 
< 0.1%
4.17 4
 
< 0.1%
4.22 2
 
< 0.1%
ValueCountFrequency (%)
33.89 1
 
< 0.1%
29.44 1
 
< 0.1%
28.57 1
 
< 0.1%
27.17 1
 
< 0.1%
26.58 1
 
< 0.1%
25.83 1
 
< 0.1%
25.69 1
 
< 0.1%
25.33 2
< 0.1%
24.81 1
 
< 0.1%
24.17 3
< 0.1%

평균 문자량: 4분위수, 25%
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
9952 
6.67
 
40
0.0
 
4
13.33
 
3
10.0
 
1

Length

Max length5
Median length4
Mean length3.9999
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 9952
99.5%
6.67 40
 
0.4%
0.0 4
 
< 0.1%
13.33 3
 
< 0.1%
10.0 1
 
< 0.1%

Length

2024-05-04T06:55:39.057661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:39.487776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 9952
99.5%
6.67 40
 
0.4%
0.0 4
 
< 0.1%
13.33 3
 
< 0.1%
10.0 1
 
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.815018
Minimum0
Maximum30
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:39.774146image/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 deviation1.6970989
Coefficient of variation (CV)0.29184757
Kurtosis4.941371
Mean5.815018
Median Absolute Deviation (MAD)0
Skewness0.086256438
Sum58150.18
Variance2.8801445
MonotonicityNot monotonic
2024-05-04T06:55:40.283020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6.67 6902
69.0%
3.33 2837
28.4%
10.0 238
 
2.4%
13.33 14
 
0.1%
0.0 4
 
< 0.1%
16.67 3
 
< 0.1%
30.0 1
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 2837
28.4%
6.67 6902
69.0%
10.0 238
 
2.4%
13.33 14
 
0.1%
16.67 3
 
< 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 3
 
< 0.1%
13.33 14
 
0.1%
10.0 238
 
2.4%
6.67 6902
69.0%
3.33 2837
28.4%
0.0 4
 
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.31357
Minimum0
Maximum83.33
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:40.792667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.67
Q110
median13.33
Q313.33
95-th percentile20
Maximum83.33
Range83.33
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation3.8910922
Coefficient of variation (CV)0.31600033
Kurtosis27.495982
Mean12.31357
Median Absolute Deviation (MAD)3.33
Skewness2.4313454
Sum123135.7
Variance15.140599
MonotonicityNot monotonic
2024-05-04T06:55:41.659759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10.0 3832
38.3%
13.33 3359
33.6%
16.67 1326
 
13.3%
6.67 880
 
8.8%
20.0 372
 
3.7%
23.33 99
 
1.0%
3.33 64
 
0.6%
26.67 27
 
0.3%
30.0 16
 
0.2%
33.33 6
 
0.1%
Other values (6) 19
 
0.2%
ValueCountFrequency (%)
0.0 4
 
< 0.1%
3.33 64
 
0.6%
6.67 880
 
8.8%
10.0 3832
38.3%
13.33 3359
33.6%
16.67 1326
 
13.3%
20.0 372
 
3.7%
23.33 99
 
1.0%
26.67 27
 
0.3%
30.0 16
 
0.2%
ValueCountFrequency (%)
83.33 2
 
< 0.1%
46.67 4
 
< 0.1%
43.33 2
 
< 0.1%
40.0 2
 
< 0.1%
36.67 5
 
0.1%
33.33 6
 
0.1%
30.0 16
 
0.2%
26.67 27
 
0.3%
23.33 99
 
1.0%
20.0 372
3.7%
Distinct1632
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.210085
Minimum4.4
Maximum28.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:42.236678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.4
5-th percentile6.9495
Q110.22
median13.2
Q316.21
95-th percentile19.61
Maximum28.33
Range23.93
Interquartile range (IQR)5.99

Descriptive statistics

Standard deviation3.9355911
Coefficient of variation (CV)0.29792322
Kurtosis-0.83253352
Mean13.210085
Median Absolute Deviation (MAD)2.99
Skewness0.063624849
Sum132100.85
Variance15.488877
MonotonicityNot monotonic
2024-05-04T06:55:42.859331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.1 18
 
0.2%
13.8 17
 
0.2%
13.27 17
 
0.2%
13.55 17
 
0.2%
13.12 17
 
0.2%
13.33 17
 
0.2%
12.6 16
 
0.2%
13.97 16
 
0.2%
13.48 16
 
0.2%
14.14 16
 
0.2%
Other values (1622) 9833
98.3%
ValueCountFrequency (%)
4.4 1
< 0.1%
4.74 1
< 0.1%
4.83 1
< 0.1%
4.84 1
< 0.1%
4.89 1
< 0.1%
4.9 1
< 0.1%
4.93 1
< 0.1%
4.94 1
< 0.1%
5.03 1
< 0.1%
5.12 2
< 0.1%
ValueCountFrequency (%)
28.33 1
< 0.1%
25.43 1
< 0.1%
23.94 1
< 0.1%
23.58 1
< 0.1%
23.37 1
< 0.1%
23.33 1
< 0.1%
23.11 1
< 0.1%
22.89 1
< 0.1%
22.81 1
< 0.1%
22.77 2
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.109752
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:43.277085image/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
Maximum15
Range13.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.8429094
Coefficient of variation (CV)0.30163407
Kurtosis-0.43245558
Mean6.109752
Median Absolute Deviation (MAD)1.66
Skewness0.10785653
Sum61097.52
Variance3.3963149
MonotonicityNot monotonic
2024-05-04T06:55:43.887241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.67 3763
37.6%
5.0 2253
22.5%
3.33 1837
18.4%
8.33 1701
17.0%
10.0 407
 
4.1%
11.67 25
 
0.2%
1.67 9
 
0.1%
13.33 3
 
< 0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
1.67 9
 
0.1%
3.33 1837
18.4%
5.0 2253
22.5%
6.67 3763
37.6%
8.33 1701
17.0%
10.0 407
 
4.1%
11.67 25
 
0.2%
13.33 3
 
< 0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
15.0 2
 
< 0.1%
13.33 3
 
< 0.1%
11.67 25
 
0.2%
10.0 407
 
4.1%
8.33 1701
17.0%
6.67 3763
37.6%
5.0 2253
22.5%
3.33 1837
18.4%
1.67 9
 
0.1%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.399475
Minimum3.33
Maximum23.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:44.386822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q18.33
median10
Q313.33
95-th percentile16.67
Maximum23.33
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2196042
Coefficient of variation (CV)0.30959295
Kurtosis-0.53967303
Mean10.399475
Median Absolute Deviation (MAD)1.67
Skewness0.20381906
Sum103994.75
Variance10.365851
MonotonicityNot monotonic
2024-05-04T06:55:44.898664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10.0 2038
20.4%
11.67 1850
18.5%
8.33 1445
14.4%
6.67 1327
13.3%
13.33 1130
11.3%
15.0 878
8.8%
5.0 798
 
8.0%
16.67 421
 
4.2%
18.33 84
 
0.8%
3.33 14
 
0.1%
Other values (3) 15
 
0.1%
ValueCountFrequency (%)
3.33 14
 
0.1%
5.0 798
 
8.0%
6.67 1327
13.3%
8.33 1445
14.4%
10.0 2038
20.4%
11.67 1850
18.5%
13.33 1130
11.3%
15.0 878
8.8%
16.67 421
 
4.2%
18.33 84
 
0.8%
ValueCountFrequency (%)
23.33 2
 
< 0.1%
21.67 2
 
< 0.1%
20.0 11
 
0.1%
18.33 84
 
0.8%
16.67 421
 
4.2%
15.0 878
8.8%
13.33 1130
11.3%
11.67 1850
18.5%
10.0 2038
20.4%
8.33 1445
14.4%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.064887
Minimum5
Maximum43.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:45.375798image/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
Maximum43.33
Range38.33
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation5.6194986
Coefficient of variation (CV)0.32930184
Kurtosis-0.73081996
Mean17.064887
Median Absolute Deviation (MAD)5
Skewness0.26561214
Sum170648.87
Variance31.578765
MonotonicityNot monotonic
2024-05-04T06:55:45.802486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
16.67 1379
13.8%
15.0 1168
11.7%
13.33 943
9.4%
18.33 894
8.9%
10.0 893
8.9%
11.67 743
7.4%
25.0 697
7.0%
23.33 649
6.5%
20.0 603
6.0%
21.67 574
 
5.7%
Other values (10) 1457
14.6%
ValueCountFrequency (%)
5.0 2
 
< 0.1%
6.67 172
 
1.7%
8.33 517
 
5.2%
10.0 893
8.9%
11.67 743
7.4%
13.33 943
9.4%
15.0 1168
11.7%
16.67 1379
13.8%
18.33 894
8.9%
20.0 603
6.0%
ValueCountFrequency (%)
43.33 1
 
< 0.1%
35.0 3
 
< 0.1%
33.33 5
 
0.1%
31.67 8
 
0.1%
30.0 53
 
0.5%
28.33 201
 
2.0%
26.67 495
5.0%
25.0 697
7.0%
23.33 649
6.5%
21.67 574
5.7%
Distinct563
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.104128
Minimum2.21
Maximum8.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:46.476268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.21
5-th percentile3.03
Q14.23
median5.3
Q35.99
95-th percentile6.74
Maximum8.99
Range6.78
Interquartile range (IQR)1.76

Descriptive statistics

Standard deviation1.1615504
Coefficient of variation (CV)0.22757079
Kurtosis-0.59914188
Mean5.104128
Median Absolute Deviation (MAD)0.83
Skewness-0.33067624
Sum51041.28
Variance1.3491994
MonotonicityNot monotonic
2024-05-04T06:55:47.025248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.04 57
 
0.6%
5.96 55
 
0.5%
5.75 54
 
0.5%
5.81 53
 
0.5%
5.6 50
 
0.5%
5.8 48
 
0.5%
5.89 47
 
0.5%
5.53 46
 
0.5%
6.09 46
 
0.5%
5.62 45
 
0.4%
Other values (553) 9499
95.0%
ValueCountFrequency (%)
2.21 1
 
< 0.1%
2.27 1
 
< 0.1%
2.29 3
< 0.1%
2.3 1
 
< 0.1%
2.31 2
 
< 0.1%
2.32 1
 
< 0.1%
2.33 6
0.1%
2.34 3
< 0.1%
2.35 3
< 0.1%
2.36 4
< 0.1%
ValueCountFrequency (%)
8.99 1
< 0.1%
8.98 1
< 0.1%
8.71 1
< 0.1%
8.63 1
< 0.1%
8.55 1
< 0.1%
8.49 1
< 0.1%
8.44 1
< 0.1%
8.4 1
< 0.1%
8.32 1
< 0.1%
8.31 1
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
6511 
1.67
2762 
5.0
719 
6.67
 
8

Length

Max length4
Median length4
Mean length3.9281
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.33
2nd row1.67
3rd row3.33
4th row6.67
5th row3.33

Common Values

ValueCountFrequency (%)
3.33 6511
65.1%
1.67 2762
27.6%
5.0 719
 
7.2%
6.67 8
 
0.1%

Length

2024-05-04T06:55:47.566763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:47.941833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 6511
65.1%
1.67 2762
27.6%
5.0 719
 
7.2%
6.67 8
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
5158 
3.33
3785 
1.67
634 
6.67
 
410
8.33
 
13

Length

Max length4
Median length3
Mean length3.4842
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.67
3rd row5.0
4th row8.33
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 5158
51.6%
3.33 3785
37.9%
1.67 634
 
6.3%
6.67 410
 
4.1%
8.33 13
 
0.1%

Length

2024-05-04T06:55:48.479579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:55:48.861397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 5158
51.6%
3.33 3785
37.9%
1.67 634
 
6.3%
6.67 410
 
4.1%
8.33 13
 
0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.946526
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:49.304374image/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 deviation1.4389185
Coefficient of variation (CV)0.24197632
Kurtosis-0.36299293
Mean5.946526
Median Absolute Deviation (MAD)1.66
Skewness-0.11946414
Sum59465.26
Variance2.0704865
MonotonicityNot monotonic
2024-05-04T06:55:49.683554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6.67 4427
44.3%
5.0 3176
31.8%
3.33 1194
 
11.9%
8.33 1163
 
11.6%
10.0 32
 
0.3%
11.67 6
 
0.1%
1.67 2
 
< 0.1%
ValueCountFrequency (%)
1.67 2
 
< 0.1%
3.33 1194
 
11.9%
5.0 3176
31.8%
6.67 4427
44.3%
8.33 1163
 
11.6%
10.0 32
 
0.3%
11.67 6
 
0.1%
ValueCountFrequency (%)
11.67 6
 
0.1%
10.0 32
 
0.3%
8.33 1163
 
11.6%
6.67 4427
44.3%
5.0 3176
31.8%
3.33 1194
 
11.9%
1.67 2
 
< 0.1%

데이터 사용량
Real number (ℝ)

Distinct1577
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.456456
Minimum0.19
Maximum21.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:50.279887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.55
Q11.54
median4.24
Q38.71
95-th percentile13.97
Maximum21.01
Range20.82
Interquartile range (IQR)7.17

Descriptive statistics

Standard deviation4.4100172
Coefficient of variation (CV)0.80822007
Kurtosis-0.6325203
Mean5.456456
Median Absolute Deviation (MAD)3.12
Skewness0.69394221
Sum54564.56
Variance19.448252
MonotonicityNot monotonic
2024-05-04T06:55:50.853102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.53 29
 
0.3%
1.17 29
 
0.3%
0.67 29
 
0.3%
0.69 29
 
0.3%
1.02 28
 
0.3%
0.59 28
 
0.3%
0.62 28
 
0.3%
1.3 27
 
0.3%
1.16 27
 
0.3%
0.55 27
 
0.3%
Other values (1567) 9719
97.2%
ValueCountFrequency (%)
0.19 2
 
< 0.1%
0.21 4
 
< 0.1%
0.22 4
 
< 0.1%
0.23 2
 
< 0.1%
0.24 9
0.1%
0.25 12
0.1%
0.26 12
0.1%
0.27 6
0.1%
0.28 8
0.1%
0.29 13
0.1%
ValueCountFrequency (%)
21.01 1
< 0.1%
19.95 1
< 0.1%
19.17 1
< 0.1%
19.02 1
< 0.1%
18.98 1
< 0.1%
18.94 1
< 0.1%
18.64 1
< 0.1%
18.6 1
< 0.1%
18.42 1
< 0.1%
18.32 1
< 0.1%

데이터 사용량: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct495
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.089068
Minimum0
Maximum11.57
Zeros397
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:51.282162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.19
median0.55
Q31.91
95-th percentile3.34
Maximum11.57
Range11.57
Interquartile range (IQR)1.72

Descriptive statistics

Standard deviation1.1578044
Coefficient of variation (CV)1.0631148
Kurtosis2.1871527
Mean1.089068
Median Absolute Deviation (MAD)0.48
Skewness1.2989402
Sum10890.68
Variance1.3405109
MonotonicityNot monotonic
2024-05-04T06:55:51.872485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 397
 
4.0%
0.01 185
 
1.8%
0.12 142
 
1.4%
0.05 134
 
1.3%
0.04 132
 
1.3%
0.11 129
 
1.3%
0.06 118
 
1.2%
0.07 117
 
1.2%
0.2 116
 
1.2%
0.02 115
 
1.1%
Other values (485) 8415
84.2%
ValueCountFrequency (%)
0.0 397
4.0%
0.01 185
1.8%
0.02 115
 
1.1%
0.03 101
 
1.0%
0.04 132
 
1.3%
0.05 134
 
1.3%
0.06 118
 
1.2%
0.07 117
 
1.2%
0.08 82
 
0.8%
0.09 102
 
1.0%
ValueCountFrequency (%)
11.57 1
< 0.1%
11.35 1
< 0.1%
10.14 1
< 0.1%
9.17 1
< 0.1%
7.22 1
< 0.1%
6.92 1
< 0.1%
6.63 1
< 0.1%
6.4 1
< 0.1%
6.28 1
< 0.1%
6.04 1
< 0.1%
Distinct1243
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.230069
Minimum0.02
Maximum18.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:52.330821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.09
Q10.58
median1.73
Q35.34
95-th percentile10.11
Maximum18.8
Range18.78
Interquartile range (IQR)4.76

Descriptive statistics

Standard deviation3.3214822
Coefficient of variation (CV)1.0283007
Kurtosis0.34060741
Mean3.230069
Median Absolute Deviation (MAD)1.51
Skewness1.1049403
Sum32300.69
Variance11.032244
MonotonicityNot monotonic
2024-05-04T06:55:52.843033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 173
 
1.7%
0.05 75
 
0.8%
0.03 66
 
0.7%
0.33 65
 
0.7%
0.09 64
 
0.6%
0.51 64
 
0.6%
0.08 59
 
0.6%
0.37 59
 
0.6%
0.34 58
 
0.6%
0.36 57
 
0.6%
Other values (1233) 9260
92.6%
ValueCountFrequency (%)
0.02 3
 
< 0.1%
0.03 66
 
0.7%
0.04 173
1.7%
0.05 75
0.8%
0.06 39
 
0.4%
0.07 39
 
0.4%
0.08 59
 
0.6%
0.09 64
 
0.6%
0.1 52
 
0.5%
0.11 52
 
0.5%
ValueCountFrequency (%)
18.8 1
< 0.1%
18.24 1
< 0.1%
18.01 1
< 0.1%
17.82 1
< 0.1%
17.58 1
< 0.1%
17.45 1
< 0.1%
17.26 1
< 0.1%
16.51 1
< 0.1%
15.49 1
< 0.1%
15.42 1
< 0.1%
Distinct2160
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.24009
Minimum0.1
Maximum28.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:53.397903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q11.52
median4.86
Q312.21
95-th percentile20.1805
Maximum28.72
Range28.62
Interquartile range (IQR)10.69

Descriptive statistics

Standard deviation6.5498098
Coefficient of variation (CV)0.90465861
Kurtosis-0.5992806
Mean7.24009
Median Absolute Deviation (MAD)4.04
Skewness0.75533658
Sum72400.9
Variance42.900008
MonotonicityNot monotonic
2024-05-04T06:55:53.884074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17 40
 
0.4%
0.16 39
 
0.4%
0.19 36
 
0.4%
0.18 33
 
0.3%
0.49 32
 
0.3%
0.55 32
 
0.3%
0.52 31
 
0.3%
0.14 31
 
0.3%
0.15 30
 
0.3%
1.24 30
 
0.3%
Other values (2150) 9666
96.7%
ValueCountFrequency (%)
0.1 2
 
< 0.1%
0.11 6
 
0.1%
0.12 12
 
0.1%
0.13 16
 
0.2%
0.14 31
0.3%
0.15 30
0.3%
0.16 39
0.4%
0.17 40
0.4%
0.18 33
0.3%
0.19 36
0.4%
ValueCountFrequency (%)
28.72 1
< 0.1%
27.77 1
< 0.1%
27.73 1
< 0.1%
27.63 1
< 0.1%
27.25 1
< 0.1%
26.95 1
< 0.1%
26.64 1
< 0.1%
26.58 1
< 0.1%
25.88 1
< 0.1%
25.82 1
< 0.1%
Distinct5939
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.368311
Minimum0
Maximum697.03
Zeros47
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:54.363173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.9975
Q132
median50.79
Q376.78
95-th percentile142.4
Maximum697.03
Range697.03
Interquartile range (IQR)44.78

Descriptive statistics

Standard deviation47.732829
Coefficient of variation (CV)0.77780906
Kurtosis15.252535
Mean61.368311
Median Absolute Deviation (MAD)21.44
Skewness2.8932733
Sum613683.11
Variance2278.4229
MonotonicityNot monotonic
2024-05-04T06:55:54.901695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.4 48
 
0.5%
0.0 47
 
0.5%
28.8 46
 
0.5%
40.0 46
 
0.5%
44.8 46
 
0.5%
36.8 43
 
0.4%
35.2 43
 
0.4%
46.4 42
 
0.4%
48.0 41
 
0.4%
19.2 41
 
0.4%
Other values (5929) 9557
95.6%
ValueCountFrequency (%)
0.0 47
0.5%
1.6 5
 
0.1%
1.86 1
 
< 0.1%
2.37 2
 
< 0.1%
2.43 1
 
< 0.1%
2.48 1
 
< 0.1%
2.55 1
 
< 0.1%
2.6 1
 
< 0.1%
2.61 1
 
< 0.1%
2.7 1
 
< 0.1%
ValueCountFrequency (%)
697.03 1
< 0.1%
575.08 1
< 0.1%
505.83 1
< 0.1%
458.52 1
< 0.1%
446.55 1
< 0.1%
445.06 1
< 0.1%
416.18 1
< 0.1%
409.99 1
< 0.1%
405.64 1
< 0.1%
403.99 1
< 0.1%

평일 총 이동 횟수
Real number (ℝ)

Distinct1993
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.926465
Minimum6.74
Maximum34.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:55.516054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.74
5-th percentile11.1
Q117.69
median20.38
Q322.99
95-th percentile26.2105
Maximum34.49
Range27.75
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation4.4280924
Coefficient of variation (CV)0.22222167
Kurtosis0.081219351
Mean19.926465
Median Absolute Deviation (MAD)2.64
Skewness-0.57927107
Sum199264.65
Variance19.608002
MonotonicityNot monotonic
2024-05-04T06:55:56.060791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.67 22
 
0.2%
20.35 22
 
0.2%
19.76 19
 
0.2%
22.53 18
 
0.2%
22.1 18
 
0.2%
19.79 18
 
0.2%
20.31 17
 
0.2%
19.85 17
 
0.2%
20.6 17
 
0.2%
20.94 17
 
0.2%
Other values (1983) 9815
98.2%
ValueCountFrequency (%)
6.74 1
 
< 0.1%
6.87 1
 
< 0.1%
7.01 1
 
< 0.1%
7.27 1
 
< 0.1%
7.35 1
 
< 0.1%
7.45 2
< 0.1%
7.46 1
 
< 0.1%
7.49 3
< 0.1%
7.52 1
 
< 0.1%
7.54 1
 
< 0.1%
ValueCountFrequency (%)
34.49 1
< 0.1%
33.78 1
< 0.1%
32.08 1
< 0.1%
31.71 1
< 0.1%
31.56 1
< 0.1%
31.47 1
< 0.1%
31.3 1
< 0.1%
31.28 1
< 0.1%
31.04 1
< 0.1%
30.9 1
< 0.1%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.841728
Minimum1.67
Maximum31.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:56.441303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q18.33
median11.67
Q315
95-th percentile20
Maximum31.67
Range30
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation5.1715008
Coefficient of variation (CV)0.43671843
Kurtosis-0.57857542
Mean11.841728
Median Absolute Deviation (MAD)3.34
Skewness0.24695063
Sum118417.28
Variance26.744421
MonotonicityNot monotonic
2024-05-04T06:55:56.880339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10.0 1380
13.8%
11.67 1162
11.6%
8.33 1089
10.9%
13.33 908
9.1%
15.0 904
9.0%
16.67 836
8.4%
6.67 796
8.0%
3.33 661
6.6%
18.33 645
6.5%
5.0 628
6.3%
Other values (9) 991
9.9%
ValueCountFrequency (%)
1.67 63
 
0.6%
3.33 661
6.6%
5.0 628
6.3%
6.67 796
8.0%
8.33 1089
10.9%
10.0 1380
13.8%
11.67 1162
11.6%
13.33 908
9.1%
15.0 904
9.0%
16.67 836
8.4%
ValueCountFrequency (%)
31.67 1
 
< 0.1%
30.0 2
 
< 0.1%
28.33 3
 
< 0.1%
26.67 6
 
0.1%
25.0 56
 
0.6%
23.33 132
 
1.3%
21.67 258
 
2.6%
20.0 470
4.7%
18.33 645
6.5%
16.67 836
8.4%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.456632
Minimum3.33
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:57.300514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q116.67
median21.67
Q325
95-th percentile26.67
Maximum35
Range31.67
Interquartile range (IQR)8.33

Descriptive statistics

Standard deviation5.9172453
Coefficient of variation (CV)0.28925804
Kurtosis-0.044975642
Mean20.456632
Median Absolute Deviation (MAD)3.33
Skewness-0.87842373
Sum204566.32
Variance35.013791
MonotonicityNot monotonic
2024-05-04T06:55:57.712817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
25.0 1569
15.7%
23.33 1371
13.7%
21.67 1314
13.1%
26.67 1191
11.9%
20.0 927
9.3%
18.33 631
6.3%
15.0 467
 
4.7%
16.67 398
 
4.0%
13.33 386
 
3.9%
28.33 355
 
3.5%
Other values (10) 1391
13.9%
ValueCountFrequency (%)
3.33 2
 
< 0.1%
5.0 141
 
1.4%
6.67 266
2.7%
8.33 313
3.1%
10.0 296
3.0%
11.67 279
2.8%
13.33 386
3.9%
15.0 467
4.7%
16.67 398
4.0%
18.33 631
6.3%
ValueCountFrequency (%)
35.0 2
 
< 0.1%
33.33 4
 
< 0.1%
31.67 10
 
0.1%
30.0 78
 
0.8%
28.33 355
 
3.5%
26.67 1191
11.9%
25.0 1569
15.7%
23.33 1371
13.7%
21.67 1314
13.1%
20.0 927
9.3%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.062127
Minimum6.67
Maximum41.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:58.229656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile16.67
Q125
median28.33
Q330
95-th percentile33.33
Maximum41.67
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8652762
Coefficient of variation (CV)0.17978174
Kurtosis1.7523433
Mean27.062127
Median Absolute Deviation (MAD)1.67
Skewness-1.1990332
Sum270621.27
Variance23.670913
MonotonicityNot monotonic
2024-05-04T06:55:58.755607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
28.33 2313
23.1%
26.67 1935
19.4%
30.0 1339
13.4%
31.67 1015
10.2%
25.0 784
 
7.8%
33.33 559
 
5.6%
23.33 407
 
4.1%
21.67 251
 
2.5%
20.0 241
 
2.4%
18.33 222
 
2.2%
Other values (12) 934
9.3%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
8.33 5
 
0.1%
10.0 47
 
0.5%
11.67 98
 
1.0%
13.33 160
1.6%
15.0 148
1.5%
16.67 200
2.0%
18.33 222
2.2%
20.0 241
2.4%
21.67 251
2.5%
ValueCountFrequency (%)
41.67 1
 
< 0.1%
40.0 3
 
< 0.1%
38.33 9
 
0.1%
36.67 55
 
0.5%
35.0 207
 
2.1%
33.33 559
 
5.6%
31.67 1015
10.2%
30.0 1339
13.4%
28.33 2313
23.1%
26.67 1935
19.4%
Distinct6689
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.374822
Minimum0
Maximum865.94
Zeros21
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:55:59.389427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.748
Q153.2775
median82.195
Q3121.0275
95-th percentile216.793
Maximum865.94
Range865.94
Interquartile range (IQR)67.75

Descriptive statistics

Standard deviation70.386133
Coefficient of variation (CV)0.72283709
Kurtosis12.516389
Mean97.374822
Median Absolute Deviation (MAD)32.595
Skewness2.7004921
Sum973748.22
Variance4954.2077
MonotonicityNot monotonic
2024-05-04T06:55:59.879674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.4 39
 
0.4%
59.2 36
 
0.4%
48.0 33
 
0.3%
60.8 32
 
0.3%
43.2 31
 
0.3%
65.6 30
 
0.3%
67.2 30
 
0.3%
64.0 29
 
0.3%
40.0 29
 
0.3%
75.2 28
 
0.3%
Other values (6679) 9683
96.8%
ValueCountFrequency (%)
0.0 21
0.2%
1.6 1
 
< 0.1%
2.71 2
 
< 0.1%
2.97 1
 
< 0.1%
3.07 1
 
< 0.1%
3.2 1
 
< 0.1%
3.65 1
 
< 0.1%
3.66 1
 
< 0.1%
3.94 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
865.94 1
< 0.1%
813.2 1
< 0.1%
709.97 1
< 0.1%
673.51 1
< 0.1%
648.75 1
< 0.1%
629.79 1
< 0.1%
616.0 1
< 0.1%
615.7 1
< 0.1%
598.72 1
< 0.1%
590.18 1
< 0.1%
Distinct771
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.461783
Minimum3.95
Maximum18.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:00.389133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.95
5-th percentile5.52
Q17.76
median8.66
Q39.44
95-th percentile10.41
Maximum18.33
Range14.38
Interquartile range (IQR)1.68

Descriptive statistics

Standard deviation1.4409873
Coefficient of variation (CV)0.17029358
Kurtosis0.7415464
Mean8.461783
Median Absolute Deviation (MAD)0.83
Skewness-0.64926523
Sum84617.83
Variance2.0764445
MonotonicityNot monotonic
2024-05-04T06:56:01.283647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.84 46
 
0.5%
9.45 46
 
0.5%
8.78 46
 
0.5%
9.28 43
 
0.4%
9.03 42
 
0.4%
9.38 40
 
0.4%
9.26 40
 
0.4%
8.49 40
 
0.4%
9.41 40
 
0.4%
8.36 39
 
0.4%
Other values (761) 9578
95.8%
ValueCountFrequency (%)
3.95 2
< 0.1%
3.98 1
 
< 0.1%
4.04 1
 
< 0.1%
4.06 2
< 0.1%
4.09 1
 
< 0.1%
4.11 2
< 0.1%
4.12 1
 
< 0.1%
4.16 1
 
< 0.1%
4.17 3
< 0.1%
4.18 2
< 0.1%
ValueCountFrequency (%)
18.33 1
< 0.1%
15.05 1
< 0.1%
14.27 1
< 0.1%
13.86 1
< 0.1%
13.27 1
< 0.1%
13.08 1
< 0.1%
13.03 1
< 0.1%
12.97 1
< 0.1%
12.82 1
< 0.1%
12.74 1
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.825363
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:02.122518image/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 deviation1.4012424
Coefficient of variation (CV)0.29039109
Kurtosis0.39788423
Mean4.825363
Median Absolute Deviation (MAD)0
Skewness-0.28009196
Sum48253.63
Variance1.9634803
MonotonicityNot monotonic
2024-05-04T06:56:02.844977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.0 5148
51.5%
6.67 2070
20.7%
3.33 2039
 
20.4%
1.67 645
 
6.5%
8.33 89
 
0.9%
10.0 6
 
0.1%
11.67 2
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 645
 
6.5%
3.33 2039
 
20.4%
5.0 5148
51.5%
6.67 2070
20.7%
8.33 89
 
0.9%
10.0 6
 
0.1%
11.67 2
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
11.67 2
 
< 0.1%
10.0 6
 
0.1%
8.33 89
 
0.9%
6.67 2070
20.7%
5.0 5148
51.5%
3.33 2039
 
20.4%
1.67 645
 
6.5%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.999019
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:03.421381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile5
Q16.67
median8.33
Q310
95-th percentile10
Maximum15
Range13.33
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation1.7958182
Coefficient of variation (CV)0.2245048
Kurtosis0.29655989
Mean7.999019
Median Absolute Deviation (MAD)1.66
Skewness-0.61630425
Sum79990.19
Variance3.2249628
MonotonicityNot monotonic
2024-05-04T06:56:03.982438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8.33 4219
42.2%
10.0 2390
23.9%
6.67 1983
19.8%
5.0 828
 
8.3%
3.33 384
 
3.8%
11.67 184
 
1.8%
13.33 8
 
0.1%
15.0 3
 
< 0.1%
1.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 384
 
3.8%
5.0 828
 
8.3%
6.67 1983
19.8%
8.33 4219
42.2%
10.0 2390
23.9%
11.67 184
 
1.8%
13.33 8
 
0.1%
15.0 3
 
< 0.1%
ValueCountFrequency (%)
15.0 3
 
< 0.1%
13.33 8
 
0.1%
11.67 184
 
1.8%
10.0 2390
23.9%
8.33 4219
42.2%
6.67 1983
19.8%
5.0 828
 
8.3%
3.33 384
 
3.8%
1.67 1
 
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.544116
Minimum5
Maximum21.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:04.351304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q110
median11.67
Q313.33
95-th percentile13.33
Maximum21.67
Range16.67
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation1.9563082
Coefficient of variation (CV)0.16946366
Kurtosis0.75687142
Mean11.544116
Median Absolute Deviation (MAD)1.66
Skewness-0.74868561
Sum115441.16
Variance3.8271418
MonotonicityNot monotonic
2024-05-04T06:56:04.868875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11.67 3957
39.6%
13.33 2854
28.5%
10.0 1593
15.9%
8.33 694
 
6.9%
6.67 418
 
4.2%
15.0 395
 
4.0%
5.0 60
 
0.6%
16.67 24
 
0.2%
18.33 4
 
< 0.1%
21.67 1
 
< 0.1%
ValueCountFrequency (%)
5.0 60
 
0.6%
6.67 418
 
4.2%
8.33 694
 
6.9%
10.0 1593
15.9%
11.67 3957
39.6%
13.33 2854
28.5%
15.0 395
 
4.0%
16.67 24
 
0.2%
18.33 4
 
< 0.1%
21.67 1
 
< 0.1%
ValueCountFrequency (%)
21.67 1
 
< 0.1%
18.33 4
 
< 0.1%
16.67 24
 
0.2%
15.0 395
 
4.0%
13.33 2854
28.5%
11.67 3957
39.6%
10.0 1593
15.9%
8.33 694
 
6.9%
6.67 418
 
4.2%
5.0 60
 
0.6%
Distinct1671
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.353193
Minimum0
Maximum63.72
Zeros2275
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:05.499101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.6
median3.88
Q37.87
95-th percentile16.1905
Maximum63.72
Range63.72
Interquartile range (IQR)6.27

Descriptive statistics

Standard deviation5.4686552
Coefficient of variation (CV)1.0215688
Kurtosis5.5272068
Mean5.353193
Median Absolute Deviation (MAD)3.43
Skewness1.7775404
Sum53531.93
Variance29.906189
MonotonicityNot monotonic
2024-05-04T06:56:06.153714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2275
 
22.8%
1.6 369
 
3.7%
3.2 342
 
3.4%
4.8 224
 
2.2%
6.4 142
 
1.4%
8.0 116
 
1.2%
9.6 76
 
0.8%
11.2 60
 
0.6%
12.8 34
 
0.3%
2.09 21
 
0.2%
Other values (1661) 6341
63.4%
ValueCountFrequency (%)
0.0 2275
22.8%
1.6 369
 
3.7%
1.61 8
 
0.1%
1.62 11
 
0.1%
1.63 4
 
< 0.1%
1.64 11
 
0.1%
1.65 8
 
0.1%
1.66 10
 
0.1%
1.67 12
 
0.1%
1.68 15
 
0.1%
ValueCountFrequency (%)
63.72 1
< 0.1%
50.97 1
< 0.1%
46.4 1
< 0.1%
44.09 1
< 0.1%
41.6 1
< 0.1%
39.04 1
< 0.1%
38.67 1
< 0.1%
38.04 1
< 0.1%
37.65 1
< 0.1%
37.46 1
< 0.1%
Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean664214.32
Minimum344570
Maximum998580.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:06.602323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum344570
5-th percentile529157.28
Q1589325.49
median648328.76
Q3716698.9
95-th percentile873238.74
Maximum998580.65
Range654010.65
Interquartile range (IQR)127373.4

Descriptive statistics

Standard deviation101788.65
Coefficient of variation (CV)0.1532467
Kurtosis0.24064427
Mean664214.32
Median Absolute Deviation (MAD)62316.555
Skewness0.74417297
Sum6.6421432 × 109
Variance1.0360929 × 1010
MonotonicityNot monotonic
2024-05-04T06:56:07.205210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600537.32 2
 
< 0.1%
538957.94 2
 
< 0.1%
519410.08 1
 
< 0.1%
840551.91 1
 
< 0.1%
475624.02 1
 
< 0.1%
738353.33 1
 
< 0.1%
631518.87 1
 
< 0.1%
704540.14 1
 
< 0.1%
598721.66 1
 
< 0.1%
708804.42 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
344570.0 1
< 0.1%
353408.89 1
< 0.1%
358133.33 1
< 0.1%
366623.42 1
< 0.1%
368760.51 1
< 0.1%
373279.49 1
< 0.1%
376005.43 1
< 0.1%
382365.91 1
< 0.1%
408521.43 1
< 0.1%
428706.67 1
< 0.1%
ValueCountFrequency (%)
998580.65 1
< 0.1%
984139.93 1
< 0.1%
983117.02 1
< 0.1%
981721.29 1
< 0.1%
980260.65 1
< 0.1%
978963.27 1
< 0.1%
978739.36 1
< 0.1%
976268.7 1
< 0.1%
976061.33 1
< 0.1%
975775.55 1
< 0.1%
Distinct6128
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494060.28
Minimum226400
Maximum935033.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:07.677056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum226400
5-th percentile373898.33
Q1416150
median464266.67
Q3530441.67
95-th percentile746311.67
Maximum935033.33
Range708633.33
Interquartile range (IQR)114291.66

Descriptive statistics

Standard deviation112122.38
Coefficient of variation (CV)0.22694068
Kurtosis1.7534434
Mean494060.28
Median Absolute Deviation (MAD)53400.005
Skewness1.4134266
Sum4.9406028 × 109
Variance1.2571427 × 1010
MonotonicityNot monotonic
2024-05-04T06:56:08.243176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486600.0 9
 
0.1%
472900.0 8
 
0.1%
471133.33 8
 
0.1%
418800.0 8
 
0.1%
413133.33 7
 
0.1%
461300.0 7
 
0.1%
442666.67 7
 
0.1%
455033.33 7
 
0.1%
449100.0 6
 
0.1%
499166.67 6
 
0.1%
Other values (6118) 9927
99.3%
ValueCountFrequency (%)
226400.0 1
< 0.1%
232200.0 1
< 0.1%
234466.67 1
< 0.1%
240033.33 1
< 0.1%
241633.33 1
< 0.1%
241700.0 1
< 0.1%
254933.33 1
< 0.1%
273400.0 1
< 0.1%
278966.67 1
< 0.1%
291766.67 1
< 0.1%
ValueCountFrequency (%)
935033.33 1
< 0.1%
934166.67 1
< 0.1%
920466.67 1
< 0.1%
918700.0 1
< 0.1%
916266.67 1
< 0.1%
915433.33 1
< 0.1%
913633.33 1
< 0.1%
912933.33 1
< 0.1%
911466.67 1
< 0.1%
909833.33 1
< 0.1%
Distinct7051
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean641354.56
Minimum278966.67
Maximum1063066.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:08.644931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum278966.67
5-th percentile470095
Q1533525
median617516.67
Q3715500
95-th percentile924345
Maximum1063066.7
Range784100
Interquartile range (IQR)181975

Descriptive statistics

Standard deviation136458.46
Coefficient of variation (CV)0.21276602
Kurtosis-0.038929721
Mean641354.56
Median Absolute Deviation (MAD)88633.33
Skewness0.79143171
Sum6.4135456 × 109
Variance1.8620911 × 1010
MonotonicityNot monotonic
2024-05-04T06:56:09.178649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
554833.33 6
 
0.1%
558733.33 6
 
0.1%
498433.33 6
 
0.1%
649166.67 6
 
0.1%
590100.0 5
 
0.1%
550600.0 5
 
0.1%
551800.0 5
 
0.1%
677866.67 5
 
0.1%
594433.33 5
 
0.1%
519700.0 5
 
0.1%
Other values (7041) 9946
99.5%
ValueCountFrequency (%)
278966.67 1
< 0.1%
299000.0 1
< 0.1%
315800.0 1
< 0.1%
331766.67 1
< 0.1%
334300.0 1
< 0.1%
340333.33 1
< 0.1%
347033.33 1
< 0.1%
356566.67 1
< 0.1%
374466.67 1
< 0.1%
382833.33 1
< 0.1%
ValueCountFrequency (%)
1063066.67 1
< 0.1%
1060866.67 1
< 0.1%
1044800.0 1
< 0.1%
1043433.33 1
< 0.1%
1039233.33 1
< 0.1%
1035700.0 1
< 0.1%
1031533.33 1
< 0.1%
1031133.33 1
< 0.1%
1030233.33 1
< 0.1%
1029333.33 1
< 0.1%
Distinct7090
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828248
Minimum388466.67
Maximum1117366.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:09.796996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388466.67
5-th percentile633388.33
Q1737733.33
median826666.67
Q3913925
95-th percentile1042038.3
Maximum1117366.7
Range728900
Interquartile range (IQR)176191.67

Descriptive statistics

Standard deviation121483.76
Coefficient of variation (CV)0.14667559
Kurtosis-0.57178386
Mean828248
Median Absolute Deviation (MAD)88316.665
Skewness0.057039766
Sum8.28248 × 109
Variance1.4758304 × 1010
MonotonicityNot monotonic
2024-05-04T06:56:10.371541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
900666.67 6
 
0.1%
734133.33 6
 
0.1%
865366.67 6
 
0.1%
777800.0 5
 
0.1%
699400.0 5
 
0.1%
909366.67 5
 
0.1%
669900.0 5
 
0.1%
875033.33 5
 
0.1%
881566.67 5
 
0.1%
738500.0 5
 
0.1%
Other values (7080) 9947
99.5%
ValueCountFrequency (%)
388466.67 1
< 0.1%
424966.67 1
< 0.1%
436400.0 1
< 0.1%
437300.0 1
< 0.1%
452233.33 1
< 0.1%
461133.33 1
< 0.1%
472166.67 1
< 0.1%
481733.33 1
< 0.1%
497933.33 1
< 0.1%
500400.0 1
< 0.1%
ValueCountFrequency (%)
1117366.67 1
< 0.1%
1114000.0 1
< 0.1%
1113933.33 1
< 0.1%
1113566.67 1
< 0.1%
1112800.0 1
< 0.1%
1110333.33 1
< 0.1%
1109800.0 1
< 0.1%
1109266.67 1
< 0.1%
1107400.0 1
< 0.1%
1107066.67 1
< 0.1%
Distinct2156
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.157467
Minimum0
Maximum68.62
Zeros1235
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:10.986866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.2
median6.43
Q311.53
95-th percentile21.6505
Maximum68.62
Range68.62
Interquartile range (IQR)8.33

Descriptive statistics

Standard deviation7.0373682
Coefficient of variation (CV)0.86269037
Kurtosis3.5353198
Mean8.157467
Median Absolute Deviation (MAD)3.98
Skewness1.4644975
Sum81574.67
Variance49.524551
MonotonicityNot monotonic
2024-05-04T06:56:11.551064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1235
 
12.3%
3.2 285
 
2.9%
1.6 256
 
2.6%
4.8 255
 
2.5%
6.4 188
 
1.9%
8.0 149
 
1.5%
9.6 119
 
1.2%
11.2 72
 
0.7%
12.8 67
 
0.7%
16.0 45
 
0.4%
Other values (2146) 7329
73.3%
ValueCountFrequency (%)
0.0 1235
12.3%
1.6 256
 
2.6%
1.61 6
 
0.1%
1.62 7
 
0.1%
1.63 3
 
< 0.1%
1.64 7
 
0.1%
1.65 7
 
0.1%
1.66 10
 
0.1%
1.67 6
 
0.1%
1.68 7
 
0.1%
ValueCountFrequency (%)
68.62 1
< 0.1%
61.16 1
< 0.1%
58.78 1
< 0.1%
54.4 1
< 0.1%
54.29 1
< 0.1%
51.2 1
< 0.1%
45.65 1
< 0.1%
45.63 1
< 0.1%
45.5 1
< 0.1%
45.0 1
< 0.1%
Distinct9992
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172655.39
Minimum63583.33
Maximum331311.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:12.004399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63583.33
5-th percentile123420.48
Q1147257.69
median166628.15
Q3192018.47
95-th percentile244499.97
Maximum331311.99
Range267728.66
Interquartile range (IQR)44760.783

Descriptive statistics

Standard deviation36178.367
Coefficient of variation (CV)0.20954091
Kurtosis0.69847993
Mean172655.39
Median Absolute Deviation (MAD)21772.625
Skewness0.82886693
Sum1.7265539 × 109
Variance1.3088743 × 109
MonotonicityNot monotonic
2024-05-04T06:56:12.644429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
155938.71 2
 
< 0.1%
143679.29 2
 
< 0.1%
130541.17 2
 
< 0.1%
140361.15 2
 
< 0.1%
194025.08 2
 
< 0.1%
168448.47 2
 
< 0.1%
151732.61 2
 
< 0.1%
149426.77 2
 
< 0.1%
128721.22 1
 
< 0.1%
130221.33 1
 
< 0.1%
Other values (9982) 9982
99.8%
ValueCountFrequency (%)
63583.33 1
< 0.1%
80358.14 1
< 0.1%
81145.05 1
< 0.1%
82107.48 1
< 0.1%
85275.38 1
< 0.1%
89634.78 1
< 0.1%
91898.74 1
< 0.1%
92802.67 1
< 0.1%
92954.6 1
< 0.1%
93705.98 1
< 0.1%
ValueCountFrequency (%)
331311.99 1
< 0.1%
326256.41 1
< 0.1%
319222.44 1
< 0.1%
315678.51 1
< 0.1%
313171.16 1
< 0.1%
312417.69 1
< 0.1%
311639.57 1
< 0.1%
311507.14 1
< 0.1%
308455.1 1
< 0.1%
307317.96 1
< 0.1%
Distinct3591
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104895.24
Minimum8900
Maximum282700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:13.221678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8900
5-th percentile61965.003
Q180400
median97400
Q3120541.67
95-th percentile179468.34
Maximum282700
Range273800
Interquartile range (IQR)40141.665

Descriptive statistics

Standard deviation35602.683
Coefficient of variation (CV)0.3394118
Kurtosis1.6822788
Mean104895.24
Median Absolute Deviation (MAD)19200
Skewness1.2014528
Sum1.0489524 × 109
Variance1.267551 × 109
MonotonicityNot monotonic
2024-05-04T06:56:13.728297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98666.67 15
 
0.1%
91066.67 14
 
0.1%
87033.33 13
 
0.1%
93766.67 12
 
0.1%
82133.33 12
 
0.1%
102633.33 12
 
0.1%
92433.33 12
 
0.1%
105966.67 12
 
0.1%
87000.0 12
 
0.1%
80066.67 11
 
0.1%
Other values (3581) 9875
98.8%
ValueCountFrequency (%)
8900.0 1
< 0.1%
10666.67 1
< 0.1%
10966.67 1
< 0.1%
12000.0 1
< 0.1%
12366.67 1
< 0.1%
14200.0 2
< 0.1%
16433.33 1
< 0.1%
16800.0 1
< 0.1%
17700.0 1
< 0.1%
21166.67 1
< 0.1%
ValueCountFrequency (%)
282700.0 1
< 0.1%
278666.67 1
< 0.1%
266333.33 1
< 0.1%
265566.67 1
< 0.1%
264466.67 1
< 0.1%
264233.33 1
< 0.1%
259566.67 1
< 0.1%
257866.67 1
< 0.1%
256033.33 1
< 0.1%
253800.0 1
< 0.1%
Distinct4137
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163874.7
Minimum23500
Maximum348933.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:14.252642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23500
5-th percentile108333.33
Q1134333.33
median156583.34
Q3185650
95-th percentile248001.67
Maximum348933.33
Range325433.33
Interquartile range (IQR)51316.668

Descriptive statistics

Standard deviation42069.679
Coefficient of variation (CV)0.25671857
Kurtosis0.7273715
Mean163874.7
Median Absolute Deviation (MAD)25016.665
Skewness0.86216412
Sum1.638747 × 109
Variance1.7698579 × 109
MonotonicityNot monotonic
2024-05-04T06:56:14.816055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149466.67 11
 
0.1%
161200.0 10
 
0.1%
121233.33 10
 
0.1%
161566.67 10
 
0.1%
137466.67 9
 
0.1%
137133.33 9
 
0.1%
143233.33 9
 
0.1%
138866.67 9
 
0.1%
148566.67 9
 
0.1%
159066.67 9
 
0.1%
Other values (4127) 9905
99.1%
ValueCountFrequency (%)
23500.0 1
< 0.1%
33966.67 1
< 0.1%
42600.0 1
< 0.1%
46800.0 1
< 0.1%
55133.33 1
< 0.1%
57800.0 1
< 0.1%
58466.67 1
< 0.1%
59433.33 1
< 0.1%
63500.0 1
< 0.1%
66100.0 1
< 0.1%
ValueCountFrequency (%)
348933.33 1
< 0.1%
348000.0 1
< 0.1%
338766.67 1
< 0.1%
329633.33 1
< 0.1%
329600.0 1
< 0.1%
326200.0 1
< 0.1%
325466.67 1
< 0.1%
324133.33 1
< 0.1%
323633.33 1
< 0.1%
322833.33 1
< 0.1%
Distinct4368
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231365.99
Minimum86200
Maximum421066.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:15.267843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86200
5-th percentile167498.33
Q1200358.34
median225683.34
Q3257300
95-th percentile315036.66
Maximum421066.67
Range334866.67
Interquartile range (IQR)56941.665

Descriptive statistics

Standard deviation44149.07
Coefficient of variation (CV)0.19081919
Kurtosis0.36321266
Mean231365.99
Median Absolute Deviation (MAD)28116.665
Skewness0.5991625
Sum2.3136599 × 109
Variance1.9491404 × 109
MonotonicityNot monotonic
2024-05-04T06:56:15.716051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219166.67 11
 
0.1%
218966.67 10
 
0.1%
214366.67 9
 
0.1%
212466.67 9
 
0.1%
234433.33 9
 
0.1%
215066.67 9
 
0.1%
211600.0 8
 
0.1%
200366.67 8
 
0.1%
221700.0 8
 
0.1%
210033.33 8
 
0.1%
Other values (4358) 9911
99.1%
ValueCountFrequency (%)
86200.0 1
< 0.1%
92500.0 1
< 0.1%
100233.33 1
< 0.1%
103300.0 1
< 0.1%
103666.67 1
< 0.1%
111500.0 1
< 0.1%
114433.33 1
< 0.1%
116866.67 1
< 0.1%
119233.33 1
< 0.1%
125400.0 1
< 0.1%
ValueCountFrequency (%)
421066.67 1
< 0.1%
403866.67 1
< 0.1%
403000.0 1
< 0.1%
402566.67 1
< 0.1%
399033.33 1
< 0.1%
395766.67 1
< 0.1%
395233.33 1
< 0.1%
389900.0 1
< 0.1%
388966.67 1
< 0.1%
387900.0 1
< 0.1%
Distinct6374
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.457673
Minimum0
Maximum785.06
Zeros40
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:16.193342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.227
Q140.08
median64
Q396
95-th percentile175.6545
Maximum785.06
Range785.06
Interquartile range (IQR)55.92

Descriptive statistics

Standard deviation57.525185
Coefficient of variation (CV)0.75237949
Kurtosis12.78918
Mean76.457673
Median Absolute Deviation (MAD)26.775
Skewness2.6575616
Sum764576.73
Variance3309.1469
MonotonicityNot monotonic
2024-05-04T06:56:16.651662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.0 42
 
0.4%
51.2 41
 
0.4%
0.0 40
 
0.4%
46.4 37
 
0.4%
52.8 36
 
0.4%
65.6 36
 
0.4%
62.4 35
 
0.4%
27.2 33
 
0.3%
38.4 32
 
0.3%
43.2 32
 
0.3%
Other values (6364) 9636
96.4%
ValueCountFrequency (%)
0.0 40
0.4%
1.6 6
 
0.1%
2.49 1
 
< 0.1%
2.71 1
 
< 0.1%
2.72 1
 
< 0.1%
2.78 1
 
< 0.1%
3.15 1
 
< 0.1%
3.2 2
 
< 0.1%
3.26 1
 
< 0.1%
3.36 1
 
< 0.1%
ValueCountFrequency (%)
785.06 1
< 0.1%
604.29 1
< 0.1%
594.35 1
< 0.1%
534.12 1
< 0.1%
524.83 1
< 0.1%
520.0 1
< 0.1%
518.85 1
< 0.1%
517.89 1
< 0.1%
492.43 1
< 0.1%
480.0 1
< 0.1%
Distinct9384
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean694.16697
Minimum191.53
Maximum1597.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:17.068957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191.53
5-th percentile337.636
Q1523.0675
median652.93
Q3876.185
95-th percentile1123.117
Maximum1597.1
Range1405.57
Interquartile range (IQR)353.1175

Descriptive statistics

Standard deviation242.07332
Coefficient of variation (CV)0.34872492
Kurtosis-0.56283233
Mean694.16697
Median Absolute Deviation (MAD)161.53
Skewness0.37003552
Sum6941669.7
Variance58599.492
MonotonicityNot monotonic
2024-05-04T06:56:17.487327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700.0 5
 
0.1%
600.0 5
 
0.1%
400.0 4
 
< 0.1%
604.86 4
 
< 0.1%
622.22 4
 
< 0.1%
533.33 4
 
< 0.1%
878.24 3
 
< 0.1%
627.34 3
 
< 0.1%
691.67 3
 
< 0.1%
520.63 3
 
< 0.1%
Other values (9374) 9962
99.6%
ValueCountFrequency (%)
191.53 1
< 0.1%
191.78 1
< 0.1%
193.28 1
< 0.1%
194.37 1
< 0.1%
199.35 1
< 0.1%
200.0 1
< 0.1%
201.16 1
< 0.1%
202.41 1
< 0.1%
203.14 1
< 0.1%
203.56 1
< 0.1%
ValueCountFrequency (%)
1597.1 1
< 0.1%
1501.75 1
< 0.1%
1425.39 1
< 0.1%
1422.65 1
< 0.1%
1419.46 1
< 0.1%
1410.57 1
< 0.1%
1393.07 1
< 0.1%
1392.16 1
< 0.1%
1387.96 1
< 0.1%
1384.4 1
< 0.1%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.22354
Minimum33.33
Maximum933.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:18.136893image/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
Maximum933.33
Range900
Interquartile range (IQR)166.66

Descriptive statistics

Standard deviation119.32214
Coefficient of variation (CV)0.48460899
Kurtosis0.34082655
Mean246.22354
Median Absolute Deviation (MAD)66.67
Skewness0.67613568
Sum2462235.4
Variance14237.773
MonotonicityNot monotonic
2024-05-04T06:56:18.543448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
166.67 1348
13.5%
200.0 1046
10.5%
133.33 967
9.7%
233.33 909
9.1%
266.67 908
9.1%
300.0 902
9.0%
333.33 754
7.5%
100.0 636
6.4%
66.67 594
5.9%
366.67 570
5.7%
Other values (16) 1366
13.7%
ValueCountFrequency (%)
33.33 45
 
0.4%
66.67 594
5.9%
100.0 636
6.4%
133.33 967
9.7%
166.67 1348
13.5%
200.0 1046
10.5%
233.33 909
9.1%
266.67 908
9.1%
300.0 902
9.0%
333.33 754
7.5%
ValueCountFrequency (%)
933.33 1
 
< 0.1%
833.33 1
 
< 0.1%
800.0 1
 
< 0.1%
766.67 1
 
< 0.1%
733.33 3
 
< 0.1%
700.0 10
 
0.1%
666.67 14
 
0.1%
633.33 19
 
0.2%
600.0 35
0.4%
566.67 51
0.5%
Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean526.96332
Minimum100
Maximum1666.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:18.905113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile200
Q1366.67
median500
Q3666.67
95-th percentile933.33
Maximum1666.67
Range1566.67
Interquartile range (IQR)300

Descriptive statistics

Standard deviation218.86252
Coefficient of variation (CV)0.4153278
Kurtosis-0.19824513
Mean526.96332
Median Absolute Deviation (MAD)133.33
Skewness0.45585581
Sum5269633.2
Variance47900.802
MonotonicityNot monotonic
2024-05-04T06:56:19.317436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
366.67 737
 
7.4%
400.0 725
 
7.2%
433.33 655
 
6.6%
466.67 566
 
5.7%
533.33 541
 
5.4%
566.67 524
 
5.2%
333.33 504
 
5.0%
500.0 503
 
5.0%
600.0 475
 
4.8%
633.33 416
 
4.2%
Other values (29) 4354
43.5%
ValueCountFrequency (%)
100.0 48
 
0.5%
133.33 197
 
2.0%
166.67 169
 
1.7%
200.0 226
 
2.3%
233.33 281
 
2.8%
266.67 275
 
2.8%
300.0 385
3.9%
333.33 504
5.0%
366.67 737
7.4%
400.0 725
7.2%
ValueCountFrequency (%)
1666.67 1
 
< 0.1%
1500.0 1
 
< 0.1%
1300.0 1
 
< 0.1%
1266.67 4
 
< 0.1%
1233.33 2
 
< 0.1%
1200.0 11
 
0.1%
1166.67 11
 
0.1%
1133.33 21
0.2%
1100.0 33
0.3%
1066.67 40
0.4%
Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean957.06667
Minimum200
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:19.762579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile433.33
Q1700
median866.67
Q31200
95-th percentile1600
Maximum2400
Range2200
Interquartile range (IQR)500

Descriptive statistics

Standard deviation352.42186
Coefficient of variation (CV)0.36823125
Kurtosis-0.46998234
Mean957.06667
Median Absolute Deviation (MAD)200
Skewness0.44478543
Sum9570666.7
Variance124201.17
MonotonicityNot monotonic
2024-05-04T06:56:20.124229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
766.67 561
 
5.6%
800.0 515
 
5.1%
733.33 498
 
5.0%
833.33 469
 
4.7%
866.67 433
 
4.3%
700.0 430
 
4.3%
900.0 383
 
3.8%
933.33 360
 
3.6%
666.67 340
 
3.4%
966.67 286
 
2.9%
Other values (48) 5725
57.2%
ValueCountFrequency (%)
200.0 1
 
< 0.1%
233.33 14
 
0.1%
266.67 48
 
0.5%
300.0 92
0.9%
333.33 102
1.0%
366.67 84
0.8%
400.0 70
 
0.7%
433.33 122
1.2%
466.67 156
1.6%
500.0 186
1.9%
ValueCountFrequency (%)
2400.0 1
 
< 0.1%
2300.0 1
 
< 0.1%
2033.33 1
 
< 0.1%
2000.0 5
 
0.1%
1966.67 2
 
< 0.1%
1933.33 3
 
< 0.1%
1900.0 6
 
0.1%
1866.67 16
0.2%
1833.33 18
0.2%
1800.0 28
0.3%
Distinct6819
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.95967
Minimum0
Maximum875.46
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:20.649648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.229
Q161.9875
median92.8
Q3135.815
95-th percentile237.66
Maximum875.46
Range875.46
Interquartile range (IQR)73.8275

Descriptive statistics

Standard deviation74.783469
Coefficient of variation (CV)0.68634085
Kurtosis11.096906
Mean108.95967
Median Absolute Deviation (MAD)35.2
Skewness2.5149533
Sum1089596.7
Variance5592.5673
MonotonicityNot monotonic
2024-05-04T06:56:21.081915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.0 34
 
0.3%
91.2 32
 
0.3%
67.2 30
 
0.3%
62.4 29
 
0.3%
60.8 28
 
0.3%
72.0 28
 
0.3%
57.6 27
 
0.3%
78.4 27
 
0.3%
75.2 26
 
0.3%
102.4 26
 
0.3%
Other values (6809) 9713
97.1%
ValueCountFrequency (%)
0.0 17
0.2%
1.6 1
 
< 0.1%
3.2 2
 
< 0.1%
3.65 1
 
< 0.1%
4.0 1
 
< 0.1%
4.38 1
 
< 0.1%
4.8 3
 
< 0.1%
4.96 1
 
< 0.1%
5.2 1
 
< 0.1%
5.77 1
 
< 0.1%
ValueCountFrequency (%)
875.46 1
< 0.1%
792.99 1
< 0.1%
732.19 1
< 0.1%
710.4 1
< 0.1%
706.35 1
< 0.1%
680.46 1
< 0.1%
652.6 1
< 0.1%
636.91 1
< 0.1%
623.31 1
< 0.1%
620.74 1
< 0.1%
Distinct8508
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.98291
Minimum121.79
Maximum798.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:21.523973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121.79
5-th percentile224.656
Q1342.445
median397.225
Q3459.4925
95-th percentile538.6525
Maximum798.48
Range676.69
Interquartile range (IQR)117.0475

Descriptive statistics

Standard deviation91.318078
Coefficient of variation (CV)0.23061116
Kurtosis-0.01906231
Mean395.98291
Median Absolute Deviation (MAD)58.685
Skewness-0.22580599
Sum3959829.1
Variance8338.9914
MonotonicityNot monotonic
2024-05-04T06:56:21.981495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366.67 9
 
0.1%
466.67 7
 
0.1%
400.0 6
 
0.1%
333.33 6
 
0.1%
458.76 5
 
0.1%
417.77 5
 
0.1%
411.02 5
 
0.1%
433.33 5
 
0.1%
405.56 5
 
0.1%
378.01 4
 
< 0.1%
Other values (8498) 9943
99.4%
ValueCountFrequency (%)
121.79 1
< 0.1%
122.09 1
< 0.1%
124.51 1
< 0.1%
135.31 1
< 0.1%
144.36 1
< 0.1%
148.36 1
< 0.1%
148.48 1
< 0.1%
149.35 1
< 0.1%
150.32 1
< 0.1%
151.19 1
< 0.1%
ValueCountFrequency (%)
798.48 1
< 0.1%
753.7 1
< 0.1%
719.78 1
< 0.1%
697.44 1
< 0.1%
675.56 1
< 0.1%
658.71 1
< 0.1%
658.63 1
< 0.1%
658.33 1
< 0.1%
656.51 1
< 0.1%
654.11 1
< 0.1%
Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.84004
Minimum33.33
Maximum533.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:22.474649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1100
median133.33
Q3166.67
95-th percentile233.33
Maximum533.33
Range500
Interquartile range (IQR)66.67

Descriptive statistics

Standard deviation51.283737
Coefficient of variation (CV)0.34455606
Kurtosis0.20199672
Mean148.84004
Median Absolute Deviation (MAD)33.34
Skewness0.15614635
Sum1488400.4
Variance2630.0216
MonotonicityNot monotonic
2024-05-04T06:56:22.833487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
133.33 2517
25.2%
166.67 2376
23.8%
200.0 1595
16.0%
100.0 1516
15.2%
66.67 921
 
9.2%
233.33 676
 
6.8%
266.67 187
 
1.9%
33.33 177
 
1.8%
300.0 25
 
0.2%
333.33 5
 
0.1%
Other values (4) 5
 
0.1%
ValueCountFrequency (%)
33.33 177
 
1.8%
66.67 921
 
9.2%
100.0 1516
15.2%
133.33 2517
25.2%
166.67 2376
23.8%
200.0 1595
16.0%
233.33 676
 
6.8%
266.67 187
 
1.9%
300.0 25
 
0.2%
333.33 5
 
0.1%
ValueCountFrequency (%)
533.33 1
 
< 0.1%
433.33 1
 
< 0.1%
400.0 2
 
< 0.1%
366.67 1
 
< 0.1%
333.33 5
 
0.1%
300.0 25
 
0.2%
266.67 187
 
1.9%
233.33 676
 
6.8%
200.0 1595
16.0%
166.67 2376
23.8%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.70338
Minimum66.67
Maximum833.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:23.174902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.67
5-th percentile133.33
Q1266.67
median300
Q3366.67
95-th percentile433.33
Maximum833.33
Range766.66
Interquartile range (IQR)100

Descriptive statistics

Standard deviation89.85955
Coefficient of variation (CV)0.29108703
Kurtosis-0.022880146
Mean308.70338
Median Absolute Deviation (MAD)66.67
Skewness-0.14718044
Sum3087033.8
Variance8074.7386
MonotonicityNot monotonic
2024-05-04T06:56:23.561846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
300.0 1553
15.5%
333.33 1397
14.0%
266.67 1391
13.9%
366.67 1292
12.9%
400.0 972
9.7%
233.33 873
8.7%
433.33 579
 
5.8%
200.0 454
 
4.5%
166.67 404
 
4.0%
133.33 371
 
3.7%
Other values (10) 714
7.1%
ValueCountFrequency (%)
66.67 9
 
0.1%
100.0 217
 
2.2%
133.33 371
 
3.7%
166.67 404
 
4.0%
200.0 454
 
4.5%
233.33 873
8.7%
266.67 1391
13.9%
300.0 1553
15.5%
333.33 1397
14.0%
366.67 1292
12.9%
ValueCountFrequency (%)
833.33 1
 
< 0.1%
666.67 2
 
< 0.1%
633.33 2
 
< 0.1%
600.0 2
 
< 0.1%
566.67 9
 
0.1%
533.33 49
 
0.5%
500.0 127
 
1.3%
466.67 296
 
3.0%
433.33 579
5.8%
400.0 972
9.7%
Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550.30001
Minimum133.33
Maximum1166.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:23.958240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133.33
5-th percentile300
Q1466.67
median566.67
Q3633.33
95-th percentile766.67
Maximum1166.67
Range1033.34
Interquartile range (IQR)166.66

Descriptive statistics

Standard deviation136.59352
Coefficient of variation (CV)0.24821647
Kurtosis0.096925903
Mean550.30001
Median Absolute Deviation (MAD)100
Skewness-0.14573125
Sum5503000.1
Variance18657.791
MonotonicityNot monotonic
2024-05-04T06:56:24.348298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
500.0 1072
10.7%
533.33 1056
10.6%
566.67 972
9.7%
600.0 874
8.7%
633.33 865
8.6%
466.67 833
 
8.3%
666.67 739
 
7.4%
700.0 526
 
5.3%
433.33 509
 
5.1%
733.33 399
 
4.0%
Other values (21) 2155
21.6%
ValueCountFrequency (%)
133.33 1
 
< 0.1%
166.67 5
 
0.1%
200.0 45
 
0.4%
233.33 203
 
2.0%
266.67 185
 
1.8%
300.0 178
 
1.8%
333.33 229
2.3%
366.67 305
3.0%
400.0 346
3.5%
433.33 509
5.1%
ValueCountFrequency (%)
1166.67 2
 
< 0.1%
1133.33 1
 
< 0.1%
1066.67 1
 
< 0.1%
1033.33 1
 
< 0.1%
1000.0 1
 
< 0.1%
966.67 6
 
0.1%
933.33 12
 
0.1%
900.0 35
 
0.4%
866.67 57
0.6%
833.33 93
0.9%
Distinct6873
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.65328
Minimum0
Maximum934.93
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:24.760516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.4
Q153.08
median84.24
Q3129.6
95-th percentile251.2
Maximum934.93
Range934.93
Interquartile range (IQR)76.52

Descriptive statistics

Standard deviation81.043147
Coefficient of variation (CV)0.78186763
Kurtosis12.310483
Mean103.65328
Median Absolute Deviation (MAD)35.69
Skewness2.6960426
Sum1036532.8
Variance6567.9917
MonotonicityNot monotonic
2024-05-04T06:56:25.158584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.2 32
 
0.3%
51.2 31
 
0.3%
49.6 30
 
0.3%
56.0 27
 
0.3%
60.8 27
 
0.3%
59.2 26
 
0.3%
44.8 25
 
0.2%
83.2 25
 
0.2%
0.0 25
 
0.2%
68.8 25
 
0.2%
Other values (6863) 9727
97.3%
ValueCountFrequency (%)
0.0 25
0.2%
1.6 1
 
< 0.1%
2.78 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 2
 
< 0.1%
3.65 1
 
< 0.1%
3.8 1
 
< 0.1%
3.92 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
934.93 1
< 0.1%
870.75 1
< 0.1%
864.87 1
< 0.1%
832.0 1
< 0.1%
785.76 1
< 0.1%
752.52 1
< 0.1%
721.58 1
< 0.1%
710.4 1
< 0.1%
700.72 1
< 0.1%
694.67 1
< 0.1%
Distinct978
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.769154
Minimum3.15
Maximum15.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:25.540783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile5.89
Q18.28
median10.03
Q311.42
95-th percentile12.87
Maximum15.83
Range12.68
Interquartile range (IQR)3.14

Descriptive statistics

Standard deviation2.1310933
Coefficient of variation (CV)0.21814513
Kurtosis-0.5637001
Mean9.769154
Median Absolute Deviation (MAD)1.53
Skewness-0.37938351
Sum97691.54
Variance4.5415588
MonotonicityNot monotonic
2024-05-04T06:56:25.911822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.04 29
 
0.3%
10.78 29
 
0.3%
11.48 28
 
0.3%
10.83 28
 
0.3%
11.37 27
 
0.3%
10.75 27
 
0.3%
10.48 27
 
0.3%
10.74 27
 
0.3%
11.16 27
 
0.3%
10.63 26
 
0.3%
Other values (968) 9725
97.2%
ValueCountFrequency (%)
3.15 1
< 0.1%
3.9 1
< 0.1%
3.94 1
< 0.1%
3.98 1
< 0.1%
4.04 1
< 0.1%
4.05 1
< 0.1%
4.1 1
< 0.1%
4.11 1
< 0.1%
4.14 1
< 0.1%
4.19 2
< 0.1%
ValueCountFrequency (%)
15.83 1
< 0.1%
14.95 1
< 0.1%
14.83 1
< 0.1%
14.55 1
< 0.1%
14.44 1
< 0.1%
14.32 1
< 0.1%
14.3 1
< 0.1%
14.29 2
< 0.1%
14.25 1
< 0.1%
14.22 1
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.644956
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:26.235479image/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 deviation2.587434
Coefficient of variation (CV)0.45836211
Kurtosis-0.38739151
Mean5.644956
Median Absolute Deviation (MAD)1.67
Skewness0.50369599
Sum56449.56
Variance6.6948145
MonotonicityNot monotonic
2024-05-04T06:56:26.510315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3.33 2496
25.0%
5.0 2347
23.5%
6.67 1943
19.4%
8.33 1246
12.5%
1.67 873
 
8.7%
10.0 736
 
7.4%
11.67 326
 
3.3%
13.33 32
 
0.3%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 873
 
8.7%
3.33 2496
25.0%
5.0 2347
23.5%
6.67 1943
19.4%
8.33 1246
12.5%
10.0 736
 
7.4%
11.67 326
 
3.3%
13.33 32
 
0.3%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
13.33 32
 
0.3%
11.67 326
 
3.3%
10.0 736
 
7.4%
8.33 1246
12.5%
6.67 1943
19.4%
5.0 2347
23.5%
3.33 2496
25.0%
1.67 873
 
8.7%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.95122
Minimum1.67
Maximum16.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:26.750790image/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 deviation3.2971573
Coefficient of variation (CV)0.33133197
Kurtosis-0.97826505
Mean9.95122
Median Absolute Deviation (MAD)3.33
Skewness-0.35063495
Sum99512.2
Variance10.871246
MonotonicityNot monotonic
2024-05-04T06:56:26.992665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13.33 2201
22.0%
11.67 1827
18.3%
10.0 1415
14.1%
8.33 1221
12.2%
6.67 1196
12.0%
5.0 1023
10.2%
15.0 660
 
6.6%
3.33 449
 
4.5%
1.67 6
 
0.1%
16.67 2
 
< 0.1%
ValueCountFrequency (%)
1.67 6
 
0.1%
3.33 449
 
4.5%
5.0 1023
10.2%
6.67 1196
12.0%
8.33 1221
12.2%
10.0 1415
14.1%
11.67 1827
18.3%
13.33 2201
22.0%
15.0 660
 
6.6%
16.67 2
 
< 0.1%
ValueCountFrequency (%)
16.67 2
 
< 0.1%
15.0 660
 
6.6%
13.33 2201
22.0%
11.67 1827
18.3%
10.0 1415
14.1%
8.33 1221
12.2%
6.67 1196
12.0%
5.0 1023
10.2%
3.33 449
 
4.5%
1.67 6
 
0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.813324
Minimum3.33
Maximum18.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:27.270402image/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 deviation2.5310935
Coefficient of variation (CV)0.18323566
Kurtosis1.083267
Mean13.813324
Median Absolute Deviation (MAD)1.67
Skewness-1.2245719
Sum138133.24
Variance6.4064344
MonotonicityNot monotonic
2024-05-04T06:56:27.500414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
15.0 4054
40.5%
13.33 1974
19.7%
16.67 1753
17.5%
11.67 846
 
8.5%
10.0 622
 
6.2%
8.33 421
 
4.2%
6.67 275
 
2.8%
5.0 48
 
0.5%
18.33 6
 
0.1%
3.33 1
 
< 0.1%
ValueCountFrequency (%)
3.33 1
 
< 0.1%
5.0 48
 
0.5%
6.67 275
 
2.8%
8.33 421
 
4.2%
10.0 622
 
6.2%
11.67 846
 
8.5%
13.33 1974
19.7%
15.0 4054
40.5%
16.67 1753
17.5%
18.33 6
 
0.1%
ValueCountFrequency (%)
18.33 6
 
0.1%
16.67 1753
17.5%
15.0 4054
40.5%
13.33 1974
19.7%
11.67 846
 
8.5%
10.0 622
 
6.2%
8.33 421
 
4.2%
6.67 275
 
2.8%
5.0 48
 
0.5%
3.33 1
 
< 0.1%
Distinct5330
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.831828
Minimum0
Maximum475.79
Zeros92
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:27.747291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.1985
Q122.165
median35.485
Q354.44
95-th percentile110.4
Maximum475.79
Range475.79
Interquartile range (IQR)32.275

Descriptive statistics

Standard deviation40.0335
Coefficient of variation (CV)0.89297051
Kurtosis17.713604
Mean44.831828
Median Absolute Deviation (MAD)15.335
Skewness3.3972427
Sum448318.28
Variance1602.6811
MonotonicityNot monotonic
2024-05-04T06:56:28.013783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 92
 
0.9%
24.0 68
 
0.7%
25.6 64
 
0.6%
30.4 60
 
0.6%
28.8 59
 
0.6%
20.8 58
 
0.6%
22.4 55
 
0.5%
27.2 55
 
0.5%
36.8 50
 
0.5%
32.0 48
 
0.5%
Other values (5320) 9391
93.9%
ValueCountFrequency (%)
0.0 92
0.9%
1.6 5
 
0.1%
1.98 1
 
< 0.1%
2.06 1
 
< 0.1%
2.2 1
 
< 0.1%
2.23 1
 
< 0.1%
2.32 2
 
< 0.1%
2.39 1
 
< 0.1%
2.4 1
 
< 0.1%
2.45 1
 
< 0.1%
ValueCountFrequency (%)
475.79 1
< 0.1%
421.93 1
< 0.1%
403.49 1
< 0.1%
398.94 1
< 0.1%
393.6 1
< 0.1%
391.54 1
< 0.1%
387.78 1
< 0.1%
386.6 1
< 0.1%
377.18 1
< 0.1%
360.33 1
< 0.1%
Distinct3992
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.396513
Minimum14.58
Maximum104.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:28.280667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.58
5-th percentile29.88
Q136.62
median41.425
Q355.9525
95-th percentile73.3005
Maximum104.74
Range90.16
Interquartile range (IQR)19.3325

Descriptive statistics

Standard deviation13.806004
Coefficient of variation (CV)0.29756556
Kurtosis-0.37292305
Mean46.396513
Median Absolute Deviation (MAD)6.325
Skewness0.8586544
Sum463965.13
Variance190.60575
MonotonicityNot monotonic
2024-05-04T06:56:28.678693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.56 12
 
0.1%
38.15 12
 
0.1%
38.74 11
 
0.1%
36.11 11
 
0.1%
37.53 11
 
0.1%
41.54 10
 
0.1%
36.22 10
 
0.1%
40.78 10
 
0.1%
38.29 10
 
0.1%
36.42 10
 
0.1%
Other values (3982) 9893
98.9%
ValueCountFrequency (%)
14.58 1
< 0.1%
22.08 1
< 0.1%
22.41 1
< 0.1%
22.97 1
< 0.1%
23.97 1
< 0.1%
24.05 1
< 0.1%
24.31 1
< 0.1%
24.71 1
< 0.1%
24.91 1
< 0.1%
25.02 1
< 0.1%
ValueCountFrequency (%)
104.74 1
< 0.1%
96.19 1
< 0.1%
93.0 1
< 0.1%
92.73 1
< 0.1%
88.74 1
< 0.1%
87.75 1
< 0.1%
87.59 1
< 0.1%
87.57 1
< 0.1%
86.68 1
< 0.1%
86.38 1
< 0.1%
Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.625577
Minimum5
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:29.042614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile16.67
Q123.33
median28.33
Q331.67
95-th percentile36.67
Maximum65
Range60
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation6.4121403
Coefficient of variation (CV)0.23210883
Kurtosis-0.51334036
Mean27.625577
Median Absolute Deviation (MAD)5
Skewness-0.1485343
Sum276255.77
Variance41.115544
MonotonicityNot monotonic
2024-05-04T06:56:29.407837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
28.33 1257
12.6%
31.67 959
9.6%
26.67 943
9.4%
33.33 928
9.3%
30.0 842
8.4%
35.0 686
 
6.9%
18.33 628
 
6.3%
20.0 609
 
6.1%
25.0 587
 
5.9%
21.67 509
 
5.1%
Other values (18) 2052
20.5%
ValueCountFrequency (%)
5.0 1
 
< 0.1%
10.0 4
 
< 0.1%
11.67 7
 
0.1%
13.33 55
 
0.5%
15.0 200
 
2.0%
16.67 437
4.4%
18.33 628
6.3%
20.0 609
6.1%
21.67 509
5.1%
23.33 478
4.8%
ValueCountFrequency (%)
65.0 1
 
< 0.1%
53.33 1
 
< 0.1%
50.0 2
 
< 0.1%
48.33 2
 
< 0.1%
46.67 4
 
< 0.1%
45.0 9
 
0.1%
43.33 29
 
0.3%
41.67 44
 
0.4%
40.0 92
 
0.9%
38.33 240
2.4%
Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.810734
Minimum6.67
Maximum126.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:29.706843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile28.33
Q133.33
median36.67
Q345
95-th percentile61.67
Maximum126.67
Range120
Interquartile range (IQR)11.67

Descriptive statistics

Standard deviation10.554445
Coefficient of variation (CV)0.26511557
Kurtosis1.5609281
Mean39.810734
Median Absolute Deviation (MAD)5
Skewness1.291428
Sum398107.34
Variance111.39632
MonotonicityNot monotonic
2024-05-04T06:56:29.975878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
35.0 1318
13.2%
33.33 1071
 
10.7%
31.67 892
 
8.9%
36.67 889
 
8.9%
30.0 855
 
8.6%
38.33 751
 
7.5%
28.33 535
 
5.3%
40.0 444
 
4.4%
45.0 242
 
2.4%
53.33 238
 
2.4%
Other values (35) 2765
27.7%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
21.67 3
 
< 0.1%
23.33 7
 
0.1%
25.0 31
 
0.3%
26.67 149
 
1.5%
28.33 535
5.3%
30.0 855
8.6%
31.67 892
8.9%
33.33 1071
10.7%
35.0 1318
13.2%
ValueCountFrequency (%)
126.67 1
 
< 0.1%
111.67 1
 
< 0.1%
98.33 1
 
< 0.1%
95.0 1
 
< 0.1%
86.67 1
 
< 0.1%
85.0 3
 
< 0.1%
83.33 2
 
< 0.1%
81.67 6
0.1%
80.0 3
 
< 0.1%
78.33 10
0.1%
Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.302647
Minimum16.67
Maximum143.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:30.228431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.67
5-th percentile36.67
Q141.67
median48.33
Q368.33
95-th percentile113.33
Maximum143.33
Range126.66
Interquartile range (IQR)26.66

Descriptive statistics

Standard deviation25.218439
Coefficient of variation (CV)0.4252498
Kurtosis0.53878628
Mean59.302647
Median Absolute Deviation (MAD)8.33
Skewness1.2907901
Sum593026.47
Variance635.96964
MonotonicityNot monotonic
2024-05-04T06:56:30.910035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.33 758
 
7.6%
41.67 745
 
7.4%
40.0 673
 
6.7%
45.0 623
 
6.2%
46.67 547
 
5.5%
38.33 496
 
5.0%
51.67 434
 
4.3%
48.33 425
 
4.2%
36.67 407
 
4.1%
50.0 387
 
3.9%
Other values (61) 4505
45.1%
ValueCountFrequency (%)
16.67 1
 
< 0.1%
28.33 1
 
< 0.1%
30.0 5
 
0.1%
31.67 13
 
0.1%
33.33 183
 
1.8%
35.0 278
 
2.8%
36.67 407
4.1%
38.33 496
5.0%
40.0 673
6.7%
41.67 745
7.4%
ValueCountFrequency (%)
143.33 24
0.2%
141.67 7
 
0.1%
140.0 3
 
< 0.1%
138.33 7
 
0.1%
136.67 9
 
0.1%
135.0 6
 
0.1%
133.33 7
 
0.1%
131.67 17
0.2%
130.0 16
0.2%
128.33 18
0.2%
Distinct6815
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.214551
Minimum0
Maximum1227.54
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:31.335060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.6175
Q138.0975
median69.28
Q3114.6125
95-th percentile283.2255
Maximum1227.54
Range1227.54
Interquartile range (IQR)76.515

Descriptive statistics

Standard deviation104.82611
Coefficient of variation (CV)1.0895037
Kurtosis16.842226
Mean96.214551
Median Absolute Deviation (MAD)36.235
Skewness3.4562364
Sum962145.51
Variance10988.513
MonotonicityNot monotonic
2024-05-04T06:56:31.781081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
 
0.7%
76.8 28
 
0.3%
96.0 26
 
0.3%
91.2 25
 
0.2%
52.8 24
 
0.2%
70.4 23
 
0.2%
86.4 22
 
0.2%
51.2 22
 
0.2%
121.6 21
 
0.2%
41.6 21
 
0.2%
Other values (6805) 9717
97.2%
ValueCountFrequency (%)
0.0 71
0.7%
1.6 8
 
0.1%
1.93 1
 
< 0.1%
1.96 1
 
< 0.1%
1.98 1
 
< 0.1%
1.99 1
 
< 0.1%
2.14 1
 
< 0.1%
2.2 1
 
< 0.1%
2.23 1
 
< 0.1%
2.35 1
 
< 0.1%
ValueCountFrequency (%)
1227.54 1
< 0.1%
1092.64 1
< 0.1%
966.89 1
< 0.1%
963.2 1
< 0.1%
960.99 1
< 0.1%
959.3 1
< 0.1%
953.85 1
< 0.1%
945.74 1
< 0.1%
945.43 1
< 0.1%
908.43 1
< 0.1%
Distinct7334
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.65921
Minimum10.11
Maximum207.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:32.188754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.11
5-th percentile23.3295
Q157.2275
median116.595
Q3147.8925
95-th percentile170.3405
Maximum207.71
Range197.6
Interquartile range (IQR)90.665

Descriptive statistics

Standard deviation49.901095
Coefficient of variation (CV)0.47679603
Kurtosis-1.2687155
Mean104.65921
Median Absolute Deviation (MAD)38.925
Skewness-0.31900183
Sum1046592.1
Variance2490.1193
MonotonicityNot monotonic
2024-05-04T06:56:32.675295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.54 5
 
0.1%
157.85 5
 
0.1%
142.52 5
 
0.1%
164.05 5
 
0.1%
147.89 5
 
0.1%
152.51 5
 
0.1%
124.78 5
 
0.1%
23.13 5
 
0.1%
135.6 5
 
0.1%
143.52 5
 
0.1%
Other values (7324) 9950
99.5%
ValueCountFrequency (%)
10.11 1
< 0.1%
10.86 1
< 0.1%
11.11 1
< 0.1%
11.25 1
< 0.1%
12.23 1
< 0.1%
12.64 1
< 0.1%
13.03 1
< 0.1%
13.04 1
< 0.1%
13.65 1
< 0.1%
13.75 1
< 0.1%
ValueCountFrequency (%)
207.71 1
< 0.1%
200.06 1
< 0.1%
199.75 1
< 0.1%
195.09 1
< 0.1%
193.41 1
< 0.1%
193.0 1
< 0.1%
192.14 1
< 0.1%
191.93 1
< 0.1%
191.7 1
< 0.1%
191.41 1
< 0.1%
Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.144428
Minimum1.67
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:33.213465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q111.67
median45
Q371.67
95-th percentile93.33
Maximum180
Range178.33
Interquartile range (IQR)60

Descriptive statistics

Standard deviation31.686669
Coefficient of variation (CV)0.71779543
Kurtosis-1.3248943
Mean44.144428
Median Absolute Deviation (MAD)30
Skewness0.13836962
Sum441444.28
Variance1004.045
MonotonicityNot monotonic
2024-05-04T06:56:33.707493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.33 737
 
7.4%
5.0 443
 
4.4%
6.67 359
 
3.6%
1.67 338
 
3.4%
8.33 326
 
3.3%
10.0 251
 
2.5%
68.33 209
 
2.1%
75.0 201
 
2.0%
81.67 196
 
2.0%
73.33 192
 
1.9%
Other values (66) 6748
67.5%
ValueCountFrequency (%)
1.67 338
3.4%
3.33 737
7.4%
5.0 443
4.4%
6.67 359
3.6%
8.33 326
3.3%
10.0 251
 
2.5%
11.67 183
 
1.8%
13.33 188
 
1.9%
15.0 184
 
1.8%
16.67 174
 
1.7%
ValueCountFrequency (%)
180.0 1
 
< 0.1%
130.0 1
 
< 0.1%
123.33 1
 
< 0.1%
121.67 3
< 0.1%
120.0 3
< 0.1%
118.33 1
 
< 0.1%
116.67 2
 
< 0.1%
115.0 3
< 0.1%
113.33 4
< 0.1%
111.67 5
0.1%
Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.494877
Minimum3.33
Maximum216.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:34.169050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q135
median96.67
Q3133.33
95-th percentile163.33
Maximum216.67
Range213.34
Interquartile range (IQR)98.33

Descriptive statistics

Standard deviation52.468842
Coefficient of variation (CV)0.59967902
Kurtosis-1.3284477
Mean87.494877
Median Absolute Deviation (MAD)45
Skewness-0.10829664
Sum874948.77
Variance2752.9794
MonotonicityNot monotonic
2024-05-04T06:56:34.614909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.67 222
 
2.2%
8.33 216
 
2.2%
10.0 209
 
2.1%
11.67 163
 
1.6%
13.33 163
 
1.6%
23.33 159
 
1.6%
131.67 149
 
1.5%
133.33 146
 
1.5%
128.33 141
 
1.4%
15.0 141
 
1.4%
Other values (109) 8291
82.9%
ValueCountFrequency (%)
3.33 3
 
< 0.1%
5.0 96
1.0%
6.67 222
2.2%
8.33 216
2.2%
10.0 209
2.1%
11.67 163
1.6%
13.33 163
1.6%
15.0 141
1.4%
16.67 140
1.4%
18.33 115
1.1%
ValueCountFrequency (%)
216.67 1
 
< 0.1%
203.33 2
 
< 0.1%
200.0 3
 
< 0.1%
196.67 4
< 0.1%
195.0 1
 
< 0.1%
193.33 2
 
< 0.1%
191.67 5
0.1%
188.33 7
0.1%
186.67 9
0.1%
185.0 9
0.1%
Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.45066
Minimum10
Maximum318.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:35.038097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28.33
Q178.33
median163.33
Q3215
95-th percentile256.67
Maximum318.33
Range308.33
Interquartile range (IQR)136.67

Descriptive statistics

Standard deviation76.200292
Coefficient of variation (CV)0.50648029
Kurtosis-1.2323531
Mean150.45066
Median Absolute Deviation (MAD)61.67
Skewness-0.24293911
Sum1504506.6
Variance5806.4845
MonotonicityNot monotonic
2024-05-04T06:56:35.489380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201.67 118
 
1.2%
208.33 113
 
1.1%
215.0 113
 
1.1%
211.67 111
 
1.1%
213.33 110
 
1.1%
210.0 109
 
1.1%
205.0 108
 
1.1%
221.67 108
 
1.1%
223.33 106
 
1.1%
25.0 106
 
1.1%
Other values (169) 8898
89.0%
ValueCountFrequency (%)
10.0 3
 
< 0.1%
11.67 3
 
< 0.1%
13.33 3
 
< 0.1%
15.0 19
 
0.2%
16.67 27
 
0.3%
18.33 43
0.4%
20.0 60
0.6%
21.67 83
0.8%
23.33 71
0.7%
25.0 106
1.1%
ValueCountFrequency (%)
318.33 1
 
< 0.1%
310.0 1
 
< 0.1%
303.33 1
 
< 0.1%
301.67 2
 
< 0.1%
300.0 2
 
< 0.1%
298.33 1
 
< 0.1%
296.67 3
< 0.1%
295.0 2
 
< 0.1%
293.33 2
 
< 0.1%
291.67 6
0.1%
Distinct5563
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.236815
Minimum0
Maximum682.76
Zeros135
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:35.938654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.7195
Q121.88
median36.955
Q359.8025
95-th percentile139.2
Maximum682.76
Range682.76
Interquartile range (IQR)37.9225

Descriptive statistics

Standard deviation56.039067
Coefficient of variation (CV)1.0937266
Kurtosis21.200271
Mean51.236815
Median Absolute Deviation (MAD)17.755
Skewness3.8895908
Sum512368.15
Variance3140.377
MonotonicityNot monotonic
2024-05-04T06:56:36.592110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 135
 
1.4%
35.2 61
 
0.6%
33.6 56
 
0.6%
22.4 47
 
0.5%
25.6 47
 
0.5%
36.8 46
 
0.5%
32.0 42
 
0.4%
28.8 42
 
0.4%
38.4 41
 
0.4%
49.6 41
 
0.4%
Other values (5553) 9442
94.4%
ValueCountFrequency (%)
0.0 135
1.4%
1.6 11
 
0.1%
1.77 1
 
< 0.1%
1.9 1
 
< 0.1%
1.95 1
 
< 0.1%
1.96 1
 
< 0.1%
1.98 1
 
< 0.1%
2.07 1
 
< 0.1%
2.08 1
 
< 0.1%
2.12 1
 
< 0.1%
ValueCountFrequency (%)
682.76 1
< 0.1%
614.61 1
< 0.1%
566.36 1
< 0.1%
561.84 1
< 0.1%
555.75 1
< 0.1%
543.77 1
< 0.1%
528.0 1
< 0.1%
525.24 1
< 0.1%
521.17 1
< 0.1%
509.45 1
< 0.1%
Distinct7917
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.54389
Minimum18.09
Maximum327.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:37.118849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.09
5-th percentile33.31
Q182.3075
median153.58
Q3197.1325
95-th percentile232.13
Maximum327.92
Range309.83
Interquartile range (IQR)114.825

Descriptive statistics

Standard deviation64.65898
Coefficient of variation (CV)0.45681225
Kurtosis-1.1656918
Mean141.54389
Median Absolute Deviation (MAD)51.865
Skewness-0.27613973
Sum1415438.9
Variance4180.7837
MonotonicityNot monotonic
2024-05-04T06:56:37.546749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195.92 6
 
0.1%
193.89 5
 
0.1%
173.09 5
 
0.1%
179.23 5
 
0.1%
95.99 5
 
0.1%
184.97 5
 
0.1%
205.15 5
 
0.1%
224.89 4
 
< 0.1%
166.86 4
 
< 0.1%
194.63 4
 
< 0.1%
Other values (7907) 9952
99.5%
ValueCountFrequency (%)
18.09 1
< 0.1%
19.8 1
< 0.1%
20.38 1
< 0.1%
20.46 1
< 0.1%
20.59 1
< 0.1%
20.63 1
< 0.1%
20.83 1
< 0.1%
21.3 1
< 0.1%
22.05 1
< 0.1%
22.2 1
< 0.1%
ValueCountFrequency (%)
327.92 1
< 0.1%
296.96 1
< 0.1%
268.13 1
< 0.1%
264.67 1
< 0.1%
262.18 1
< 0.1%
260.75 1
< 0.1%
260.57 1
< 0.1%
258.25 1
< 0.1%
257.04 1
< 0.1%
256.49 1
< 0.1%
Distinct94
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.77657
Minimum3.33
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:38.116472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q126.67
median61.67
Q390
95-th percentile118.33
Maximum200
Range196.67
Interquartile range (IQR)63.33

Descriptive statistics

Standard deviation36.0578
Coefficient of variation (CV)0.60320958
Kurtosis-1.1025549
Mean59.77657
Median Absolute Deviation (MAD)31.67
Skewness0.16188142
Sum597765.7
Variance1300.1649
MonotonicityNot monotonic
2024-05-04T06:56:38.475928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 261
 
2.6%
6.67 248
 
2.5%
8.33 237
 
2.4%
11.67 236
 
2.4%
16.67 195
 
1.9%
20.0 195
 
1.9%
18.33 190
 
1.9%
23.33 182
 
1.8%
28.33 181
 
1.8%
26.67 181
 
1.8%
Other values (84) 7894
78.9%
ValueCountFrequency (%)
3.33 2
 
< 0.1%
5.0 99
 
1.0%
6.67 248
2.5%
8.33 237
2.4%
10.0 261
2.6%
11.67 236
2.4%
13.33 162
1.6%
15.0 167
1.7%
16.67 195
1.9%
18.33 190
1.9%
ValueCountFrequency (%)
200.0 1
 
< 0.1%
181.67 2
 
< 0.1%
168.33 1
 
< 0.1%
163.33 1
 
< 0.1%
155.0 1
 
< 0.1%
151.67 1
 
< 0.1%
148.33 3
< 0.1%
146.67 3
< 0.1%
145.0 2
 
< 0.1%
143.33 6
0.1%
Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.6457
Minimum10
Maximum365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:38.911722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q151.67
median123.33
Q3171.67
95-th percentile211.67
Maximum365
Range355
Interquartile range (IQR)120

Descriptive statistics

Standard deviation64.332359
Coefficient of variation (CV)0.55628837
Kurtosis-1.2461412
Mean115.6457
Median Absolute Deviation (MAD)56.67
Skewness-0.054207627
Sum1156457
Variance4138.6524
MonotonicityNot monotonic
2024-05-04T06:56:39.397521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.67 150
 
1.5%
20.0 138
 
1.4%
15.0 133
 
1.3%
16.67 132
 
1.3%
175.0 132
 
1.3%
23.33 130
 
1.3%
26.67 128
 
1.3%
28.33 126
 
1.3%
30.0 122
 
1.2%
18.33 122
 
1.2%
Other values (141) 8687
86.9%
ValueCountFrequency (%)
10.0 1
 
< 0.1%
11.67 11
 
0.1%
13.33 67
0.7%
15.0 133
1.3%
16.67 132
1.3%
18.33 122
1.2%
20.0 138
1.4%
21.67 150
1.5%
23.33 130
1.3%
25.0 115
1.1%
ValueCountFrequency (%)
365.0 1
 
< 0.1%
276.67 1
 
< 0.1%
263.33 1
 
< 0.1%
258.33 1
 
< 0.1%
255.0 1
 
< 0.1%
253.33 1
 
< 0.1%
251.67 1
 
< 0.1%
248.33 2
 
< 0.1%
246.67 7
0.1%
245.0 3
< 0.1%
Distinct245
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.60017
Minimum21.67
Maximum455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:39.948801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.67
5-th percentile35
Q1106.67
median215
Q3286.67
95-th percentile350
Maximum455
Range433.33
Interquartile range (IQR)180

Descriptive statistics

Standard deviation101.72501
Coefficient of variation (CV)0.5071033
Kurtosis-1.1274682
Mean200.60017
Median Absolute Deviation (MAD)83.33
Skewness-0.15442466
Sum2006001.7
Variance10347.977
MonotonicityNot monotonic
2024-05-04T06:56:40.354181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.33 117
 
1.2%
30.0 102
 
1.0%
35.0 96
 
1.0%
36.67 89
 
0.9%
283.33 85
 
0.9%
31.67 81
 
0.8%
221.67 77
 
0.8%
300.0 76
 
0.8%
33.33 76
 
0.8%
293.33 75
 
0.8%
Other values (235) 9126
91.3%
ValueCountFrequency (%)
21.67 1
 
< 0.1%
23.33 5
 
0.1%
25.0 6
 
0.1%
26.67 24
 
0.2%
28.33 117
1.2%
30.0 102
1.0%
31.67 81
0.8%
33.33 76
0.8%
35.0 96
1.0%
36.67 89
0.9%
ValueCountFrequency (%)
455.0 3
< 0.1%
431.67 2
< 0.1%
430.0 1
 
< 0.1%
425.0 2
< 0.1%
421.67 2
< 0.1%
420.0 1
 
< 0.1%
418.33 1
 
< 0.1%
416.67 1
 
< 0.1%
415.0 1
 
< 0.1%
413.33 1
 
< 0.1%
Distinct7061
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.17958
Minimum0
Maximum1165.69
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:40.814472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.8965
Q151.865
median92.91
Q3148.6925
95-th percentile300.8
Maximum1165.69
Range1165.69
Interquartile range (IQR)96.8275

Descriptive statistics

Standard deviation103.97362
Coefficient of variation (CV)0.88730146
Kurtosis12.495705
Mean117.17958
Median Absolute Deviation (MAD)46.31
Skewness2.8206727
Sum1171795.8
Variance10810.513
MonotonicityNot monotonic
2024-05-04T06:56:41.260020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
0.3%
107.2 25
 
0.2%
80.0 25
 
0.2%
105.6 21
 
0.2%
134.4 20
 
0.2%
100.8 20
 
0.2%
72.0 20
 
0.2%
91.2 20
 
0.2%
96.0 19
 
0.2%
97.6 19
 
0.2%
Other values (7051) 9785
97.9%
ValueCountFrequency (%)
0.0 26
0.3%
1.6 3
 
< 0.1%
2.22 1
 
< 0.1%
2.23 1
 
< 0.1%
2.57 1
 
< 0.1%
2.65 1
 
< 0.1%
2.78 1
 
< 0.1%
2.97 1
 
< 0.1%
3.02 1
 
< 0.1%
3.2 3
 
< 0.1%
ValueCountFrequency (%)
1165.69 1
< 0.1%
980.05 1
< 0.1%
968.25 1
< 0.1%
966.89 1
< 0.1%
911.1 1
< 0.1%
905.6 1
< 0.1%
905.07 1
< 0.1%
890.39 1
< 0.1%
882.84 1
< 0.1%
876.67 1
< 0.1%
Distinct3471
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.612062
Minimum4.44
Maximum62.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:41.674955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.44
5-th percentile11.5595
Q118.95
median28.465
Q335.71
95-th percentile42.6605
Maximum62.25
Range57.81
Interquartile range (IQR)16.76

Descriptive statistics

Standard deviation10.079111
Coefficient of variation (CV)0.36502564
Kurtosis-1.0941874
Mean27.612062
Median Absolute Deviation (MAD)8.565
Skewness-0.079814871
Sum276120.62
Variance101.58847
MonotonicityNot monotonic
2024-05-04T06:56:42.095064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.86 11
 
0.1%
11.99 10
 
0.1%
14.93 9
 
0.1%
30.39 9
 
0.1%
41.03 9
 
0.1%
22.67 9
 
0.1%
33.1 9
 
0.1%
18.35 9
 
0.1%
34.7 9
 
0.1%
42.27 9
 
0.1%
Other values (3461) 9907
99.1%
ValueCountFrequency (%)
4.44 1
< 0.1%
5.0 1
< 0.1%
5.05 1
< 0.1%
6.1 1
< 0.1%
6.25 1
< 0.1%
6.43 1
< 0.1%
6.54 1
< 0.1%
6.73 1
< 0.1%
7.07 1
< 0.1%
7.11 1
< 0.1%
ValueCountFrequency (%)
62.25 1
< 0.1%
59.17 1
< 0.1%
51.6 1
< 0.1%
51.11 1
< 0.1%
50.35 1
< 0.1%
49.17 1
< 0.1%
48.69 1
< 0.1%
48.62 1
< 0.1%
48.53 1
< 0.1%
48.47 1
< 0.1%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.836807
Minimum1.67
Maximum36.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:42.461915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median8.33
Q313.33
95-th percentile16.67
Maximum36.67
Range35
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.1519226
Coefficient of variation (CV)0.58300725
Kurtosis-0.88747112
Mean8.836807
Median Absolute Deviation (MAD)5
Skewness0.38699394
Sum88368.07
Variance26.542306
MonotonicityNot monotonic
2024-05-04T06:56:42.892091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.33 1961
19.6%
5.0 1251
12.5%
13.33 943
9.4%
10.0 876
8.8%
11.67 859
8.6%
15.0 824
8.2%
8.33 768
 
7.7%
6.67 756
 
7.6%
1.67 679
 
6.8%
16.67 595
 
5.9%
Other values (8) 488
 
4.9%
ValueCountFrequency (%)
1.67 679
 
6.8%
3.33 1961
19.6%
5.0 1251
12.5%
6.67 756
 
7.6%
8.33 768
 
7.7%
10.0 876
8.8%
11.67 859
8.6%
13.33 943
9.4%
15.0 824
8.2%
16.67 595
 
5.9%
ValueCountFrequency (%)
36.67 1
 
< 0.1%
31.67 1
 
< 0.1%
26.67 2
 
< 0.1%
25.0 4
 
< 0.1%
23.33 11
 
0.1%
21.67 36
 
0.4%
20.0 108
 
1.1%
18.33 325
 
3.2%
16.67 595
5.9%
15.0 824
8.2%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.492697
Minimum1.67
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:43.133991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile5
Q110
median20
Q328.33
95-th percentile35
Maximum55
Range53.33
Interquartile range (IQR)18.33

Descriptive statistics

Standard deviation10.197494
Coefficient of variation (CV)0.52314432
Kurtosis-1.1892363
Mean19.492697
Median Absolute Deviation (MAD)8.33
Skewness0.11753402
Sum194926.97
Variance103.98888
MonotonicityNot monotonic
2024-05-04T06:56:43.367636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.0 714
 
7.1%
6.67 643
 
6.4%
10.0 602
 
6.0%
8.33 584
 
5.8%
26.67 568
 
5.7%
25.0 530
 
5.3%
11.67 515
 
5.1%
23.33 488
 
4.9%
31.67 472
 
4.7%
21.67 464
 
4.6%
Other values (19) 4420
44.2%
ValueCountFrequency (%)
1.67 3
 
< 0.1%
3.33 228
 
2.3%
5.0 714
7.1%
6.67 643
6.4%
8.33 584
5.8%
10.0 602
6.0%
11.67 515
5.1%
13.33 452
4.5%
15.0 363
3.6%
16.67 373
3.7%
ValueCountFrequency (%)
55.0 1
 
< 0.1%
51.67 1
 
< 0.1%
45.0 3
 
< 0.1%
43.33 6
 
0.1%
41.67 15
 
0.1%
40.0 55
 
0.5%
38.33 116
 
1.2%
36.67 251
2.5%
35.0 373
3.7%
33.33 452
4.5%
Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.280287
Minimum5
Maximum96.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:43.929759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.67
Q125
median40
Q353.33
95-th percentile65
Maximum96.67
Range91.67
Interquartile range (IQR)28.33

Descriptive statistics

Standard deviation16.937013
Coefficient of variation (CV)0.43118353
Kurtosis-0.91514137
Mean39.280287
Median Absolute Deviation (MAD)13.33
Skewness0.031193837
Sum392802.87
Variance286.86241
MonotonicityNot monotonic
2024-05-04T06:56:44.264760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.0 430
 
4.3%
43.33 355
 
3.5%
46.67 354
 
3.5%
48.33 350
 
3.5%
40.0 332
 
3.3%
58.33 330
 
3.3%
61.67 311
 
3.1%
41.67 308
 
3.1%
26.67 298
 
3.0%
36.67 294
 
2.9%
Other values (43) 6638
66.4%
ValueCountFrequency (%)
5.0 8
 
0.1%
6.67 35
 
0.4%
8.33 136
1.4%
10.0 158
1.6%
11.67 173
1.7%
13.33 232
2.3%
15.0 229
2.3%
16.67 265
2.6%
18.33 243
2.4%
20.0 273
2.7%
ValueCountFrequency (%)
96.67 2
 
< 0.1%
93.33 1
 
< 0.1%
90.0 2
 
< 0.1%
86.67 2
 
< 0.1%
85.0 3
 
< 0.1%
83.33 5
 
0.1%
81.67 4
 
< 0.1%
80.0 5
 
0.1%
78.33 12
0.1%
76.67 15
0.1%

유튜브 사용 미추정 인구수
Real number (ℝ)

ZEROS 

Distinct4495
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.176148
Minimum0
Maximum428.21
Zeros342
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:44.528902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.88
Q112.44
median22.4
Q336.5525
95-th percentile88
Maximum428.21
Range428.21
Interquartile range (IQR)24.1125

Descriptive statistics

Standard deviation36.58806
Coefficient of variation (CV)1.1735914
Kurtosis22.704314
Mean31.176148
Median Absolute Deviation (MAD)11.39
Skewness4.0583001
Sum311761.48
Variance1338.6861
MonotonicityNot monotonic
2024-05-04T06:56:44.784188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 342
 
3.4%
17.6 76
 
0.8%
19.2 74
 
0.7%
12.8 73
 
0.7%
24.0 72
 
0.7%
20.8 70
 
0.7%
14.4 69
 
0.7%
11.2 65
 
0.7%
16.0 65
 
0.7%
25.6 63
 
0.6%
Other values (4485) 9031
90.3%
ValueCountFrequency (%)
0.0 342
3.4%
1.6 12
 
0.1%
1.64 1
 
< 0.1%
1.65 1
 
< 0.1%
1.67 1
 
< 0.1%
1.68 1
 
< 0.1%
1.72 1
 
< 0.1%
1.74 2
 
< 0.1%
1.84 1
 
< 0.1%
1.85 1
 
< 0.1%
ValueCountFrequency (%)
428.21 1
< 0.1%
398.94 1
< 0.1%
380.47 1
< 0.1%
373.12 1
< 0.1%
372.8 1
< 0.1%
362.89 1
< 0.1%
357.69 1
< 0.1%
355.72 1
< 0.1%
349.51 1
< 0.1%
326.1 1
< 0.1%

유튜브 사용일수
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.056304
Minimum-0.73
Maximum0.4
Zeros206
Zeros (%)2.1%
Negative5936
Negative (%)59.4%
Memory size166.0 KiB
2024-05-04T06:56:45.145205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.73
5-th percentile-0.48
Q1-0.15
median-0.05
Q30.09
95-th percentile0.26
Maximum0.4
Range1.13
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.20399971
Coefficient of variation (CV)-3.6231832
Kurtosis0.61994972
Mean-0.056304
Median Absolute Deviation (MAD)0.12
Skewness-0.68916782
Sum-563.04
Variance0.041615881
MonotonicityNot monotonic
2024-05-04T06:56:45.410759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 327
 
3.3%
-0.12 280
 
2.8%
-0.14 280
 
2.8%
-0.15 272
 
2.7%
-0.11 240
 
2.4%
-0.1 234
 
2.3%
-0.09 232
 
2.3%
-0.04 226
 
2.3%
-0.08 220
 
2.2%
-0.16 218
 
2.2%
Other values (103) 7471
74.7%
ValueCountFrequency (%)
-0.73 1
 
< 0.1%
-0.72 3
 
< 0.1%
-0.71 4
 
< 0.1%
-0.7 5
 
0.1%
-0.69 2
 
< 0.1%
-0.68 11
 
0.1%
-0.67 11
 
0.1%
-0.66 28
0.3%
-0.65 32
0.3%
-0.64 29
0.3%
ValueCountFrequency (%)
0.4 1
 
< 0.1%
0.39 1
 
< 0.1%
0.38 2
 
< 0.1%
0.37 3
 
< 0.1%
0.36 2
 
< 0.1%
0.34 2
 
< 0.1%
0.33 3
 
< 0.1%
0.32 11
 
0.1%
0.31 16
 
0.2%
0.3 54
0.5%
Distinct167
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.227182
Minimum-1.33
Maximum0.35
Zeros98
Zeros (%)1.0%
Negative7860
Negative (%)78.6%
Memory size166.0 KiB
2024-05-04T06:56:45.664204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.33
5-th percentile-0.81
Q1-0.33
median-0.21
Q3-0.03
95-th percentile0.1605
Maximum0.35
Range1.68
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.29030254
Coefficient of variation (CV)-1.2778413
Kurtosis2.8569306
Mean-0.227182
Median Absolute Deviation (MAD)0.15
Skewness-1.3546531
Sum-2271.82
Variance0.084275566
MonotonicityNot monotonic
2024-05-04T06:56:45.964753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.29 269
 
2.7%
-0.27 268
 
2.7%
-0.28 257
 
2.6%
-0.3 253
 
2.5%
-0.31 221
 
2.2%
-0.26 219
 
2.2%
-0.25 215
 
2.1%
-0.24 200
 
2.0%
0.01 192
 
1.9%
-0.23 183
 
1.8%
Other values (157) 7723
77.2%
ValueCountFrequency (%)
-1.33 132
1.3%
-1.32 14
 
0.1%
-1.31 2
 
< 0.1%
-1.3 2
 
< 0.1%
-1.29 1
 
< 0.1%
-1.28 1
 
< 0.1%
-1.27 3
 
< 0.1%
-1.26 1
 
< 0.1%
-1.25 3
 
< 0.1%
-1.24 5
 
0.1%
ValueCountFrequency (%)
0.35 1
 
< 0.1%
0.34 1
 
< 0.1%
0.33 1
 
< 0.1%
0.32 2
 
< 0.1%
0.3 2
 
< 0.1%
0.29 2
 
< 0.1%
0.28 1
 
< 0.1%
0.26 4
< 0.1%
0.25 5
0.1%
0.24 9
0.1%
Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.016655
Minimum-0.7
Maximum0.43
Zeros118
Zeros (%)1.2%
Negative4502
Negative (%)45.0%
Memory size166.0 KiB
2024-05-04T06:56:46.254971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile-0.41
Q1-0.1
median0.02
Q30.17
95-th percentile0.33
Maximum0.43
Range1.13
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.20988189
Coefficient of variation (CV)12.601734
Kurtosis0.58185849
Mean0.016655
Median Absolute Deviation (MAD)0.13
Skewness-0.67428765
Sum166.55
Variance0.044050406
MonotonicityNot monotonic
2024-05-04T06:56:46.563256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.09 310
 
3.1%
-0.08 296
 
3.0%
-0.1 285
 
2.9%
-0.07 260
 
2.6%
-0.11 245
 
2.5%
-0.05 223
 
2.2%
0.19 219
 
2.2%
-0.06 217
 
2.2%
0.17 209
 
2.1%
0.18 202
 
2.0%
Other values (104) 7534
75.3%
ValueCountFrequency (%)
-0.7 2
 
< 0.1%
-0.69 1
 
< 0.1%
-0.68 2
 
< 0.1%
-0.67 2
 
< 0.1%
-0.66 4
 
< 0.1%
-0.65 6
 
0.1%
-0.64 4
 
< 0.1%
-0.63 10
 
0.1%
-0.62 12
0.1%
-0.61 25
0.2%
ValueCountFrequency (%)
0.43 2
 
< 0.1%
0.42 3
 
< 0.1%
0.41 2
 
< 0.1%
0.4 5
 
0.1%
0.39 3
 
< 0.1%
0.38 15
 
0.1%
0.37 45
 
0.4%
0.36 48
 
0.5%
0.35 163
1.6%
0.34 155
1.6%
Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.200279
Minimum-0.4
Maximum0.52
Zeros50
Zeros (%)0.5%
Negative905
Negative (%)9.0%
Memory size166.0 KiB
2024-05-04T06:56:46.834691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.08
Q10.1
median0.2
Q30.31
95-th percentile0.45
Maximum0.52
Range0.92
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1568309
Coefficient of variation (CV)0.78306214
Kurtosis0.12619542
Mean0.200279
Median Absolute Deviation (MAD)0.11
Skewness-0.45541143
Sum2002.79
Variance0.024595932
MonotonicityNot monotonic
2024-05-04T06:56:47.144826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 328
 
3.3%
0.1 310
 
3.1%
0.08 287
 
2.9%
0.11 284
 
2.8%
0.31 264
 
2.6%
0.32 261
 
2.6%
0.33 260
 
2.6%
0.29 255
 
2.5%
0.28 251
 
2.5%
0.3 250
 
2.5%
Other values (77) 7250
72.5%
ValueCountFrequency (%)
-0.4 1
 
< 0.1%
-0.37 2
 
< 0.1%
-0.33 4
 
< 0.1%
-0.32 3
 
< 0.1%
-0.31 1
 
< 0.1%
-0.3 8
0.1%
-0.29 7
0.1%
-0.28 5
 
0.1%
-0.27 9
0.1%
-0.26 14
0.1%
ValueCountFrequency (%)
0.52 1
 
< 0.1%
0.5 7
 
0.1%
0.49 10
 
0.1%
0.48 20
 
0.2%
0.47 84
 
0.8%
0.46 187
1.9%
0.45 223
2.2%
0.44 233
2.3%
0.43 142
1.4%
0.42 130
1.3%
Distinct8306
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.10432
Minimum0
Maximum1842.08
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:47.418656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile137.7685
Q1280.805
median420.415
Q3609.865
95-th percentile939.2
Maximum1842.08
Range1842.08
Interquartile range (IQR)329.06

Descriptive statistics

Standard deviation249.5143
Coefficient of variation (CV)0.53646954
Kurtosis0.99127694
Mean465.10432
Median Absolute Deviation (MAD)159.14
Skewness0.91868873
Sum4651043.2
Variance62257.388
MonotonicityNot monotonic
2024-05-04T06:56:47.688573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454.4 14
 
0.1%
440.0 12
 
0.1%
480.0 11
 
0.1%
385.6 11
 
0.1%
363.2 11
 
0.1%
344.0 10
 
0.1%
416.0 10
 
0.1%
392.0 10
 
0.1%
505.6 9
 
0.1%
318.4 9
 
0.1%
Other values (8296) 9893
98.9%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
8.0 2
< 0.1%
13.11 1
 
< 0.1%
16.0 1
 
< 0.1%
17.26 1
 
< 0.1%
19.2 1
 
< 0.1%
20.0 1
 
< 0.1%
22.8 1
 
< 0.1%
24.0 3
< 0.1%
24.25 1
 
< 0.1%
ValueCountFrequency (%)
1842.08 1
< 0.1%
1831.8 1
< 0.1%
1780.67 1
< 0.1%
1683.87 1
< 0.1%
1674.42 1
< 0.1%
1666.11 1
< 0.1%
1620.64 1
< 0.1%
1595.77 1
< 0.1%
1588.77 1
< 0.1%
1533.25 1
< 0.1%

넷플릭스 사용일수
Real number (ℝ)

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.398123
Minimum-0.67
Maximum0.42
Zeros1
Zeros (%)< 0.1%
Negative9995
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T06:56:47.964644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.65
Q1-0.61
median-0.39
Q3-0.21
95-th percentile-0.12
Maximum0.42
Range1.09
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.19473007
Coefficient of variation (CV)-0.48912036
Kurtosis-1.5084699
Mean-0.398123
Median Absolute Deviation (MAD)0.2
Skewness0.046342486
Sum-3981.23
Variance0.037919799
MonotonicityNot monotonic
2024-05-04T06:56:48.285635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.65 593
 
5.9%
-0.64 484
 
4.8%
-0.63 446
 
4.5%
-0.66 361
 
3.6%
-0.62 317
 
3.2%
-0.61 290
 
2.9%
-0.19 276
 
2.8%
-0.17 275
 
2.8%
-0.18 274
 
2.7%
-0.6 253
 
2.5%
Other values (61) 6431
64.3%
ValueCountFrequency (%)
-0.67 12
 
0.1%
-0.66 361
3.6%
-0.65 593
5.9%
-0.64 484
4.8%
-0.63 446
4.5%
-0.62 317
3.2%
-0.61 290
2.9%
-0.6 253
2.5%
-0.59 196
 
2.0%
-0.58 176
 
1.8%
ValueCountFrequency (%)
0.42 1
 
< 0.1%
0.09 1
 
< 0.1%
0.01 2
 
< 0.1%
0.0 1
 
< 0.1%
-0.01 5
 
0.1%
-0.02 3
 
< 0.1%
-0.03 2
 
< 0.1%
-0.04 7
0.1%
-0.05 14
0.1%
-0.06 8
0.1%
Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.668304
Minimum-0.67
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative9999
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T06:56:48.529263image/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
Maximum0.33
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.018983667
Coefficient of variation (CV)-0.028405736
Kurtosis873.66403
Mean-0.668304
Median Absolute Deviation (MAD)0
Skewness22.414467
Sum-6683.04
Variance0.00036037962
MonotonicityNot monotonic
2024-05-04T06:56:48.756910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-0.67 9871
98.7%
-0.54 17
 
0.2%
-0.55 13
 
0.1%
-0.53 10
 
0.1%
-0.51 9
 
0.1%
-0.58 7
 
0.1%
-0.5 6
 
0.1%
-0.6 6
 
0.1%
-0.61 6
 
0.1%
-0.65 5
 
0.1%
Other values (20) 50
 
0.5%
ValueCountFrequency (%)
-0.67 9871
98.7%
-0.66 4
 
< 0.1%
-0.65 5
 
0.1%
-0.64 3
 
< 0.1%
-0.63 4
 
< 0.1%
-0.62 4
 
< 0.1%
-0.61 6
 
0.1%
-0.6 6
 
0.1%
-0.59 3
 
< 0.1%
-0.58 7
 
0.1%
ValueCountFrequency (%)
0.33 1
< 0.1%
-0.18 1
< 0.1%
-0.31 1
< 0.1%
-0.36 1
< 0.1%
-0.4 2
< 0.1%
-0.42 1
< 0.1%
-0.43 1
< 0.1%
-0.44 1
< 0.1%
-0.45 1
< 0.1%
-0.46 2
< 0.1%
Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.484295
Minimum-0.67
Maximum0.33
Zeros34
Zeros (%)0.3%
Negative9749
Negative (%)97.5%
Memory size166.0 KiB
2024-05-04T06:56:49.004882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.67
Q3-0.25
95-th percentile-0.05
Maximum0.33
Range1
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.24151455
Coefficient of variation (CV)-0.49869304
Kurtosis-0.98254401
Mean-0.484295
Median Absolute Deviation (MAD)0
Skewness0.79448215
Sum-4842.95
Variance0.058329276
MonotonicityNot monotonic
2024-05-04T06:56:49.382442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 5722
57.2%
-0.14 126
 
1.3%
-0.11 124
 
1.2%
-0.17 118
 
1.2%
-0.12 117
 
1.2%
-0.21 114
 
1.1%
-0.13 113
 
1.1%
-0.15 113
 
1.1%
-0.18 111
 
1.1%
-0.1 110
 
1.1%
Other values (77) 3232
32.3%
ValueCountFrequency (%)
-0.67 5722
57.2%
-0.66 5
 
0.1%
-0.65 10
 
0.1%
-0.64 2
 
< 0.1%
-0.63 5
 
0.1%
-0.62 17
 
0.2%
-0.61 5
 
0.1%
-0.6 10
 
0.1%
-0.59 13
 
0.1%
-0.58 12
 
0.1%
ValueCountFrequency (%)
0.33 1
 
< 0.1%
0.3 1
 
< 0.1%
0.22 1
 
< 0.1%
0.21 1
 
< 0.1%
0.15 2
 
< 0.1%
0.14 2
 
< 0.1%
0.13 3
< 0.1%
0.12 5
0.1%
0.11 3
< 0.1%
0.1 3
< 0.1%
Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.199416
Minimum-0.67
Maximum0.5
Zeros32
Zeros (%)0.3%
Negative5453
Negative (%)54.5%
Memory size166.0 KiB
2024-05-04T06:56:49.793132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.12
Q30.22
95-th percentile0.28
Maximum0.5
Range1.17
Interquartile range (IQR)0.89

Descriptive statistics

Standard deviation0.40541938
Coefficient of variation (CV)-2.0330334
Kurtosis-1.7772547
Mean-0.199416
Median Absolute Deviation (MAD)0.38
Skewness-0.098877033
Sum-1994.16
Variance0.16436488
MonotonicityNot monotonic
2024-05-04T06:56:50.255331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 3684
36.8%
0.25 340
 
3.4%
0.24 338
 
3.4%
0.23 323
 
3.2%
0.26 289
 
2.9%
0.27 286
 
2.9%
0.22 256
 
2.6%
0.28 238
 
2.4%
0.21 232
 
2.3%
0.2 219
 
2.2%
Other values (101) 3795
38.0%
ValueCountFrequency (%)
-0.67 3684
36.8%
-0.66 3
 
< 0.1%
-0.65 4
 
< 0.1%
-0.64 2
 
< 0.1%
-0.63 2
 
< 0.1%
-0.62 6
 
0.1%
-0.61 7
 
0.1%
-0.6 4
 
< 0.1%
-0.59 7
 
0.1%
-0.58 6
 
0.1%
ValueCountFrequency (%)
0.5 1
 
< 0.1%
0.43 1
 
< 0.1%
0.42 1
 
< 0.1%
0.41 1
 
< 0.1%
0.39 1
 
< 0.1%
0.38 2
 
< 0.1%
0.37 4
< 0.1%
0.36 2
 
< 0.1%
0.35 5
0.1%
0.34 6
0.1%
Distinct8349
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.33767
Minimum0
Maximum1827.04
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:50.562111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile81.376
Q1184.9675
median358.595
Q3594.1725
95-th percentile971.8105
Maximum1827.04
Range1827.04
Interquartile range (IQR)409.205

Descriptive statistics

Standard deviation285.39064
Coefficient of variation (CV)0.68057477
Kurtosis0.65734369
Mean419.33767
Median Absolute Deviation (MAD)194.025
Skewness0.95261542
Sum4193376.7
Variance81447.818
MonotonicityNot monotonic
2024-05-04T06:56:50.965265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433.6 11
 
0.1%
456.0 11
 
0.1%
374.4 10
 
0.1%
344.0 10
 
0.1%
537.6 10
 
0.1%
420.8 10
 
0.1%
414.4 10
 
0.1%
369.6 9
 
0.1%
444.8 9
 
0.1%
457.6 9
 
0.1%
Other values (8339) 9901
99.0%
ValueCountFrequency (%)
0.0 2
< 0.1%
3.2 1
 
< 0.1%
4.8 1
 
< 0.1%
6.4 1
 
< 0.1%
7.32 1
 
< 0.1%
7.46 1
 
< 0.1%
8.0 3
< 0.1%
8.34 1
 
< 0.1%
8.9 1
 
< 0.1%
12.44 1
 
< 0.1%
ValueCountFrequency (%)
1827.04 1
< 0.1%
1816.38 1
< 0.1%
1808.93 1
< 0.1%
1788.35 1
< 0.1%
1728.5 1
< 0.1%
1722.33 1
< 0.1%
1710.68 1
< 0.1%
1678.95 1
< 0.1%
1597.15 1
< 0.1%
1595.77 1
< 0.1%
Distinct1483
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.771216
Minimum0
Maximum33.33
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:51.298009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.24
Q18.84
median12.12
Q314.7825
95-th percentile17.48
Maximum33.33
Range33.33
Interquartile range (IQR)5.9425

Descriptive statistics

Standard deviation3.9067155
Coefficient of variation (CV)0.33188716
Kurtosis-0.01215373
Mean11.771216
Median Absolute Deviation (MAD)2.94
Skewness-0.20898689
Sum117712.16
Variance15.262426
MonotonicityNot monotonic
2024-05-04T06:56:51.646570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 76
 
0.8%
6.67 70
 
0.7%
5.0 61
 
0.6%
10.0 53
 
0.5%
3.33 49
 
0.5%
0.0 45
 
0.4%
11.67 42
 
0.4%
7.5 38
 
0.4%
1.67 37
 
0.4%
13.33 33
 
0.3%
Other values (1473) 9496
95.0%
ValueCountFrequency (%)
0.0 45
0.4%
1.67 37
0.4%
2.08 4
 
< 0.1%
2.22 6
 
0.1%
2.33 1
 
< 0.1%
2.41 1
 
< 0.1%
2.5 22
0.2%
2.59 1
 
< 0.1%
2.62 2
 
< 0.1%
2.67 5
 
0.1%
ValueCountFrequency (%)
33.33 4
< 0.1%
30.83 1
 
< 0.1%
28.33 1
 
< 0.1%
26.67 1
 
< 0.1%
25.0 1
 
< 0.1%
23.33 4
< 0.1%
22.5 3
< 0.1%
22.22 1
 
< 0.1%
22.08 1
 
< 0.1%
21.74 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.914658
Minimum0
Maximum33.33
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:51.894950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.67
Q11.67
median3.33
Q35
95-th percentile6.67
Maximum33.33
Range33.33
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation2.1109639
Coefficient of variation (CV)0.53924607
Kurtosis23.480321
Mean3.914658
Median Absolute Deviation (MAD)1.66
Skewness2.4127164
Sum39146.58
Variance4.4561688
MonotonicityNot monotonic
2024-05-04T06:56:52.347313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3.33 2900
29.0%
1.67 2851
28.5%
5.0 2555
25.6%
6.67 1307
13.1%
8.33 276
 
2.8%
0.0 45
 
0.4%
10.0 38
 
0.4%
11.67 7
 
0.1%
23.33 5
 
0.1%
13.33 4
 
< 0.1%
Other values (7) 12
 
0.1%
ValueCountFrequency (%)
0.0 45
 
0.4%
1.67 2851
28.5%
3.33 2900
29.0%
5.0 2555
25.6%
6.67 1307
13.1%
8.33 276
 
2.8%
10.0 38
 
0.4%
11.67 7
 
0.1%
13.33 4
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
33.33 4
< 0.1%
28.33 2
 
< 0.1%
26.67 1
 
< 0.1%
23.33 5
0.1%
20.0 1
 
< 0.1%
18.33 2
 
< 0.1%
16.67 1
 
< 0.1%
15.0 1
 
< 0.1%
13.33 4
< 0.1%
11.67 7
0.1%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.680149
Minimum0
Maximum33.33
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:52.563743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.67
Q15
median8.33
Q311.67
95-th percentile15
Maximum33.33
Range33.33
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation4.2421642
Coefficient of variation (CV)0.4887202
Kurtosis0.04309412
Mean8.680149
Median Absolute Deviation (MAD)3.33
Skewness0.36694135
Sum86801.49
Variance17.995957
MonotonicityNot monotonic
2024-05-04T06:56:52.824520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5.0 1436
14.4%
10.0 1311
13.1%
8.33 1273
12.7%
11.67 1259
12.6%
6.67 1194
11.9%
3.33 1009
10.1%
13.33 926
9.3%
15.0 572
 
5.7%
1.67 523
 
5.2%
16.67 280
 
2.8%
Other values (9) 217
 
2.2%
ValueCountFrequency (%)
0.0 45
 
0.4%
1.67 523
 
5.2%
3.33 1009
10.1%
5.0 1436
14.4%
6.67 1194
11.9%
8.33 1273
12.7%
10.0 1311
13.1%
11.67 1259
12.6%
13.33 926
9.3%
15.0 572
 
5.7%
ValueCountFrequency (%)
33.33 4
 
< 0.1%
28.33 3
 
< 0.1%
26.67 3
 
< 0.1%
25.0 4
 
< 0.1%
23.33 6
 
0.1%
21.67 10
 
0.1%
20.0 41
 
0.4%
18.33 101
 
1.0%
16.67 280
2.8%
15.0 572
5.7%
Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.97247
Minimum0
Maximum33.33
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:53.167535image/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 deviation7.5645691
Coefficient of variation (CV)0.42089758
Kurtosis-0.77146459
Mean17.97247
Median Absolute Deviation (MAD)6.66
Skewness-0.053276724
Sum179724.7
Variance57.222705
MonotonicityNot monotonic
2024-05-04T06:56:53.391810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20.0 796
 
8.0%
21.67 763
 
7.6%
23.33 759
 
7.6%
18.33 693
 
6.9%
16.67 683
 
6.8%
11.67 675
 
6.8%
15.0 656
 
6.6%
25.0 647
 
6.5%
13.33 641
 
6.4%
10.0 596
 
6.0%
Other values (11) 3091
30.9%
ValueCountFrequency (%)
0.0 45
 
0.4%
1.67 71
 
0.7%
3.33 163
 
1.6%
5.0 228
 
2.3%
6.67 398
4.0%
8.33 526
5.3%
10.0 596
6.0%
11.67 675
6.8%
13.33 641
6.4%
15.0 656
6.6%
ValueCountFrequency (%)
33.33 205
 
2.1%
31.67 183
 
1.8%
30.0 294
 
2.9%
28.33 427
4.3%
26.67 551
5.5%
25.0 647
6.5%
23.33 759
7.6%
21.67 763
7.6%
20.0 796
8.0%
18.33 693
6.9%
Distinct8530
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean780.14751
Minimum22.4
Maximum4542.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:53.641354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.4
5-th percentile259.2
Q1512
median730.065
Q3989.9475
95-th percentile1468.8065
Maximum4542.98
Range4520.58
Interquartile range (IQR)477.9475

Descriptive statistics

Standard deviation379.03479
Coefficient of variation (CV)0.48585016
Kurtosis2.6904413
Mean780.14751
Median Absolute Deviation (MAD)236.795
Skewness1.0268566
Sum7801475.1
Variance143667.37
MonotonicityNot monotonic
2024-05-04T06:56:53.938614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449.6 10
 
0.1%
640.0 10
 
0.1%
456.0 9
 
0.1%
619.2 8
 
0.1%
592.0 8
 
0.1%
454.4 8
 
0.1%
649.6 8
 
0.1%
433.6 8
 
0.1%
414.4 8
 
0.1%
400.0 8
 
0.1%
Other values (8520) 9915
99.2%
ValueCountFrequency (%)
22.4 1
< 0.1%
29.75 1
< 0.1%
32.0 2
< 0.1%
35.2 2
< 0.1%
36.8 1
< 0.1%
38.4 1
< 0.1%
41.6 1
< 0.1%
43.2 1
< 0.1%
45.5 1
< 0.1%
48.0 1
< 0.1%
ValueCountFrequency (%)
4542.98 1
< 0.1%
3377.03 1
< 0.1%
3017.93 1
< 0.1%
2935.62 1
< 0.1%
2904.11 1
< 0.1%
2845.64 1
< 0.1%
2818.85 1
< 0.1%
2791.33 1
< 0.1%
2747.36 1
< 0.1%
2709.53 1
< 0.1%
Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.390998
Minimum0
Maximum5
Zeros1536
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:54.212685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.05
median2.71
Q33.03
95-th percentile3.89
Maximum5
Range5
Interquartile range (IQR)0.98

Descriptive statistics

Standard deviation1.1926077
Coefficient of variation (CV)0.49879076
Kurtosis0.36899894
Mean2.390998
Median Absolute Deviation (MAD)0.4
Skewness-0.76667824
Sum23909.98
Variance1.4223132
MonotonicityNot monotonic
2024-05-04T06:56:54.498972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1536
 
15.4%
1.67 871
 
8.7%
3.33 744
 
7.4%
2.5 382
 
3.8%
2.78 328
 
3.3%
5.0 304
 
3.0%
2.92 166
 
1.7%
2.67 124
 
1.2%
3.0 114
 
1.1%
2.22 111
 
1.1%
Other values (192) 5320
53.2%
ValueCountFrequency (%)
0.0 1536
15.4%
1.67 871
8.7%
1.82 1
 
< 0.1%
1.83 1
 
< 0.1%
1.84 1
 
< 0.1%
1.85 2
 
< 0.1%
1.88 6
 
0.1%
1.89 1
 
< 0.1%
1.9 8
 
0.1%
1.92 2
 
< 0.1%
ValueCountFrequency (%)
5.0 304
3.0%
4.76 1
 
< 0.1%
4.67 2
 
< 0.1%
4.58 6
 
0.1%
4.44 15
 
0.1%
4.33 2
 
< 0.1%
4.31 2
 
< 0.1%
4.29 1
 
< 0.1%
4.26 1
 
< 0.1%
4.17 76
 
0.8%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7779 
0.0
1536 
3.33
 
376
5.0
 
309

Length

Max length4
Median length4
Mean length3.8155
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7779
77.8%
0.0 1536
 
15.4%
3.33 376
 
3.8%
5.0 309
 
3.1%

Length

2024-05-04T06:56:54.740608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:54.924619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7779
77.8%
0.0 1536
 
15.4%
3.33 376
 
3.8%
5.0 309
 
3.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6167 
3.33
1788 
0.0
1536 
5.0
 
509

Length

Max length4
Median length4
Mean length3.7955
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 6167
61.7%
3.33 1788
 
17.9%
0.0 1536
 
15.4%
5.0 509
 
5.1%

Length

2024-05-04T06:56:55.172153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:55.364711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6167
61.7%
3.33 1788
 
17.9%
0.0 1536
 
15.4%
5.0 509
 
5.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
3746 
3.33
3348 
0.0
1536 
1.67
1370 

Length

Max length4
Median length3
Mean length3.4718
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.33
2nd row0.0
3rd row5.0
4th row3.33
5th row0.0

Common Values

ValueCountFrequency (%)
5.0 3746
37.5%
3.33 3348
33.5%
0.0 1536
15.4%
1.67 1370
 
13.7%

Length

2024-05-04T06:56:55.576602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:55.765518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 3746
37.5%
3.33 3348
33.5%
0.0 1536
15.4%
1.67 1370
 
13.7%
Distinct8453
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean818.31048
Minimum25.6
Maximum4730.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:56:55.992431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.6
5-th percentile265.6
Q1529.45
median763.95
Q31040.2025
95-th percentile1554.4755
Maximum4730.29
Range4704.69
Interquartile range (IQR)510.7525

Descriptive statistics

Standard deviation406.08241
Coefficient of variation (CV)0.49624492
Kurtosis2.6082228
Mean818.31048
Median Absolute Deviation (MAD)250.765
Skewness1.049261
Sum8183104.8
Variance164902.93
MonotonicityNot monotonic
2024-05-04T06:56:56.293044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
376.0 11
 
0.1%
451.2 10
 
0.1%
624.0 10
 
0.1%
454.4 10
 
0.1%
488.0 10
 
0.1%
596.8 9
 
0.1%
379.2 9
 
0.1%
768.0 8
 
0.1%
678.4 8
 
0.1%
336.0 8
 
0.1%
Other values (8443) 9907
99.1%
ValueCountFrequency (%)
25.6 1
< 0.1%
31.5 1
< 0.1%
33.6 2
< 0.1%
35.2 1
< 0.1%
38.4 1
< 0.1%
40.0 1
< 0.1%
41.6 2
< 0.1%
43.75 1
< 0.1%
44.8 1
< 0.1%
48.0 1
< 0.1%
ValueCountFrequency (%)
4730.29 1
< 0.1%
3521.11 1
< 0.1%
3052.4 1
< 0.1%
3035.91 1
< 0.1%
3007.83 1
< 0.1%
2984.04 1
< 0.1%
2938.42 1
< 0.1%
2934.85 1
< 0.1%
2885.09 1
< 0.1%
2881.49 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8226 
0.0
1774 

Length

Max length4
Median length4
Mean length3.8226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%

Length

2024-05-04T06:56:56.595320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:56.781780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8226 
0.0
1774 

Length

Max length4
Median length4
Mean length3.8226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%

Length

2024-05-04T06:56:56.971708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:57.147607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8226 
0.0
1774 

Length

Max length4
Median length4
Mean length3.8226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%

Length

2024-05-04T06:56:57.346158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:57.564708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8226 
0.0
1774 

Length

Max length4
Median length4
Mean length3.8226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%

Length

2024-05-04T06:56:57.751970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:56:57.928708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8226
82.3%
0.0 1774
 
17.7%

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%
87861123066강남구도곡1동130818.0191.5202.1412302.65123267.7556.56205070216.17570.57520590690773.782.311.671.673.33614.116084.341666.674666.6711666.677.5127.020.22-0.020.240.5666.4916.6746.6790.010.243.333.3310.014.185.010.020.05.493.335.06.6711.913.269.4617.4551.5923.0915.025.030.073.6910.016.6710.013.3322.11519410.08372266.67457933.33608733.3327.02128721.2262566.67111500.0180700.054.04909.86300.0700.01300.073.69470.08166.67400.0700.0108.0810.085.011.6715.031.9366.9235.051.6795.058.95162.2986.67153.33235.036.85176.1888.33156.67243.3356.540.0616.6733.3356.6722.110.20.120.30.42253.02-0.16-0.67-0.110.28169.517.426.6715.030.0707.462.591.671.673.33800.81.671.671.671.67
17271105059광진구능동275281.678.101.311101.0111281.60.0000281.60.0000280.01.671.671.671.67275.28583.33333.3310666.6711666.673.4183.2-0.28-0.46-0.36-0.254.1813.3336.6770.018.793.333.3316.678.695.08.3311.672.621.671.673.330.420.00.050.254.48.663.336.6713.33102.44.061.673.335.00.0931064.96837200.0973033.331066933.330.0279845.27211333.33282666.67353300.067.2193.2866.67100.0233.33120.0135.3133.3366.67166.67105.64.791.673.336.6764.030.4420.030.035.0176.017.953.3310.025.096.029.586.6715.028.33169.69.291.673.338.3360.8-0.54-0.93-0.47-0.11270.4-0.66-0.67-0.67-0.67276.811.111.671.6730.0281.60.00.00.00.0281.60.00.00.00.0
53571115052양천구목2동1451144.0135.7201.4911202.12123435.5264.7306080391.37550.034705706601099.852.271.671.673.33879.075381.311333.333333.3311666.677.7236.130.1-0.170.110.3671.8223.3353.3396.6715.583.336.6716.6720.110.016.6726.676.593.335.08.336.810.993.739.0462.2227.2721.6728.3335.0104.369.515.010.013.3316.06528891.52387333.33466833.33626366.6720.07118596.9656766.6799266.67158200.070.251210.09500.01033.331633.33108.38501.16200.0400.0733.33100.3512.078.3313.3315.042.1564.7535.053.3383.3386.3151.4265.0133.33228.3352.18187.5570.0153.33283.3392.3237.0413.3330.055.020.070.04-0.080.130.28507.78-0.29-0.67-0.470.12622.1811.543.338.3318.331051.683.191.671.675.01127.941.671.671.671.67
88251123067강남구도곡2동2451857.078.2501.4911201.911221002.5959.44305080956.4522.974105406801818.512.331.671.673.331475.985265.991333.333000.011666.672.934.64-0.04-0.23-0.080.0982.7433.3363.33116.6715.33.336.6716.6717.3710.015.021.678.176.678.3310.03.570.81.83.9780.8219.3610.020.028.33125.088.015.06.6710.017.32740678.77560000.0760400.0923166.6719.24193817.91122333.33192866.67251533.33132.78617.11200.0466.67833.33155.87319.04100.0233.33433.33246.327.073.336.6710.069.2839.4523.3336.6748.3369.28114.2451.6795.0155.051.96196.0198.33171.67271.6792.3724.9910.018.3333.3336.56-0.04-0.180.00.15746.65-0.27-0.67-0.350.11419.5111.795.08.3316.671756.932.471.671.673.331820.441.671.671.671.67
12311104056성동구행당1동155562.054.1201.6511202.12123228.4173.243050120210.37567.01500590720546.972.01.671.671.67459.824441.181000.02333.337333.335.3530.050.02-0.25-0.030.2758.2816.6733.3376.6713.163.333.3316.6718.598.3315.026.676.163.335.06.673.270.511.664.8836.0623.613.3325.031.6763.1110.16.6710.013.339.02597214.49399666.67516300.0779633.339.02153265.9489400.0146233.33211666.6742.07986.13300.0733.331400.051.09578.24200.0466.67866.6736.0612.038.3313.3316.6745.0847.3435.041.6753.3366.12107.4340.081.67151.6733.06111.5238.3381.67153.3381.1427.266.6718.3341.6721.04-0.06-0.220.040.22402.72-0.51-0.67-0.67-0.47432.779.611.675.015.0562.00.00.00.00.0562.00.00.00.00.0
65801117072구로구개봉1동1401425.0168.001.8812202.23123433.1680.274070120369.17566.535005906901380.72.51.671.673.331055.835202.221000.03666.6710666.675.1886.140.09-0.210.080.3971.5220.050.0103.3312.933.336.6713.3318.458.3313.3325.06.283.335.06.677.961.015.111.1298.4525.5720.026.6731.67177.29.495.08.3313.3314.77532763.23374700.0464933.33617566.6719.69137291.7174600.0123666.67182566.67110.751112.36400.0866.671533.33162.44454.71166.67366.67600.0123.0613.4211.6715.016.6793.5268.6635.056.67105.0189.51156.0571.67140.0235.0115.67196.2280.0168.33286.67206.7438.6113.3331.6756.6759.070.03-0.110.170.32718.65-0.31-0.67-0.670.15630.0515.955.013.3325.01309.332.981.673.335.01402.851.671.671.671.67
44311112065은평구신사1동2351104.0149.5201.4511202.47123411.6155.76304070347.79509.754205506201046.572.411.671.673.33848.746716.671666.675333.3311666.678.0912.760.02-0.24-0.070.2357.8816.6733.3380.09.193.333.3310.09.535.06.6711.675.393.335.06.676.71.183.128.7863.8219.6710.023.3326.67111.688.245.08.3311.6712.76690369.4480033.33649166.67915966.6712.76165705.85100433.33156800.0226166.6776.58516.05166.67400.0700.0108.49342.2100.0266.67466.67121.259.043.3310.013.3344.6743.9821.6735.056.6735.1148.8961.67128.33233.3312.76232.87108.33205.0356.6741.4830.4610.021.6743.339.570.05-0.10.090.22417.99-0.24-0.67-0.30.16226.5415.035.011.6725.01030.612.251.671.673.331078.471.671.671.671.67
26111107072중랑구면목3·8동2551349.0266.8301.5111202.35123533.0554.56204070399.04539.664305707201331.132.221.671.673.331191.175081.761333.333333.3311000.08.1741.69-0.04-0.26-0.10.1178.9530.056.67116.6712.363.336.6710.013.996.6711.6718.335.033.333.335.01.850.260.681.57122.0917.56.6718.3326.67119.128.093.338.3311.670.0695077.34498200.0692100.0888933.332.98167938.4294033.33164266.67235833.33214.41442.26133.33333.33600.0196.54408.44166.67300.0566.67202.59.183.338.3315.047.6539.1530.036.6741.6798.2776.7921.6753.33103.3344.67113.7133.3380.0160.0190.5920.55.010.026.6738.71-0.12-0.29-0.060.121080.99-0.56-0.67-0.67-0.671092.97.331.675.010.01346.021.671.671.671.671340.071.671.671.671.67
101751125074강동구길동2751096.0439.5901.3711201.021111091.20.00001091.20.00001086.42.221.671.673.331078.48625.04333.3311666.6711666.674.4324.8-0.24-0.46-0.36-0.154.2513.3333.3373.337.963.336.6710.08.063.336.6710.02.711.671.673.330.540.00.050.21292.89.943.336.6715.0460.84.951.673.336.674.8932781.74843800.0970933.331071966.676.4266705.06216000.0273200.0322533.33353.6283.366.67166.67366.67515.2206.266.67133.33266.67588.85.241.673.336.67244.829.4120.030.035.0649.629.213.3311.6735.0345.633.568.3320.031.67668.812.221.675.013.33232.0-0.58-1.0-0.52-0.181048.0-0.65-0.67-0.67-0.671065.612.191.673.3323.331084.82.921.671.673.331089.61.671.671.671.67
3721101072종로구청운효자동220386.067.8501.8111202.83234160.1557.09204070151.94473.33360480580373.682.221.671.673.33324.47844.442666.6711666.6711666.6711.70.0-0.08-0.25-0.130.0354.4410.023.3386.6713.143.336.6710.05.663.335.06.673.621.673.335.07.611.643.396.578.2121.1413.3321.6726.6716.438.35.08.3311.670.0655251.77519233.33624133.33822333.330.0185663.83111600.0185600.0233500.08.21599.28266.67500.0833.3324.64296.21100.0233.33400.020.538.95.08.3313.338.2135.2910.026.6741.670.0102.4648.3381.67140.08.21145.6766.67123.33178.3320.5323.138.3316.6731.670.00.08-0.070.090.23147.83-0.25-0.67-0.50.1773.9110.813.336.6715.0373.681.671.671.671.67386.00.00.00.00.0
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%
93041124059송파구오륜동240956.020.401.7312201.86122464.656.91304070442.26499.39410540610933.663.03.333.333.33790.716270.271666.675333.3311666.673.2717.87-0.03-0.21-0.070.1177.0330.060.0113.3312.03.336.6713.3315.8410.015.020.07.695.06.678.333.440.922.414.9826.821.615.023.3328.3331.279.165.08.3311.674.47696050.86535200.0684733.33850733.3322.34156359.97103800.0157166.67194933.3340.21600.49233.33433.33833.3358.07328.03166.67266.67466.6744.678.675.08.3313.3335.7438.520.035.050.049.14128.8163.33113.33181.6740.21213.28113.33166.67315.080.4126.3111.6721.6735.013.4-0.02-0.130.030.15312.71-0.18-0.67-0.170.23241.2310.163.336.6713.33897.932.561.671.673.33938.131.671.671.671.67
38311111053노원구월계3동2351623.0145.1801.6611202.35123512.9364.5305080489.96529.224705406101542.622.251.671.673.331274.676000.01666.674666.6711666.675.6715.310.05-0.2-0.010.2761.0120.040.086.6710.673.336.6710.010.946.678.3315.06.15.05.06.676.61.373.248.3999.5220.0310.023.3328.33168.428.365.08.3311.6715.31649040.02453233.33590266.67845600.015.31139627.2987933.33128866.67188233.33137.8611.28200.0500.0866.67179.91365.51166.67300.0500.095.711.116.6713.3315.053.5941.7918.3335.051.6761.25157.7178.33145.0230.030.62247.37131.67233.33368.3376.5632.311.6725.045.026.790.02-0.110.060.21689.01-0.25-0.67-0.360.22267.9514.695.011.6723.331477.542.481.671.673.331538.791.671.671.671.67
77861121063관악구남현동170304.036.3201.4811201.09111300.80.0000300.80.0000299.21.671.671.671.67276.83377.78666.671000.06000.01.616.0-0.07-0.36-0.140.1144.3713.3326.6763.338.113.336.676.6713.75.010.016.674.741.673.335.02.550.160.521.6511.218.778.3316.6726.6733.68.225.06.6710.00.0615008.87445900.0583566.67776633.331.6175311.05103700.0167833.33238933.3317.6711.86200.0500.0966.6733.6414.17133.33300.0600.028.89.315.08.3313.3322.437.7828.3335.041.6778.447.838.3326.6765.022.457.2718.3335.066.6765.619.495.011.6725.014.4-0.16-0.37-0.060.17265.6-0.62-0.67-0.67-0.67283.28.181.673.3310.0300.80.00.00.00.0299.21.671.671.671.67
80381121079관악구성현동270624.0147.001.4311201.16111624.00.0000624.00.0000620.82.51.671.673.33608.05200.0333.331666.6711666.673.3354.4-0.15-0.37-0.210.0265.2823.3350.090.08.633.336.6710.09.985.08.3313.333.21.673.333.331.010.050.190.7789.613.245.011.6720.0134.46.23.335.08.336.4833532.3683866.67884566.67999433.336.4219529.19173700.0223300.0274000.0113.6391.75133.33300.0566.67134.4269.72100.0166.67366.67153.66.663.335.010.057.635.4226.6731.6738.33209.633.173.3318.3340.076.847.0113.3326.6751.67254.413.893.335.016.6744.8-0.29-0.54-0.20.04585.6-0.64-0.67-0.67-0.67582.49.11.675.013.33624.00.00.00.00.0619.21.671.671.671.67
84221122062서초구방배1동270388.828.4801.5511201.16111388.80.0000388.80.0000387.21.671.671.671.67372.85600.0666.675666.677666.674.9416.0-0.15-0.34-0.22-0.0471.4723.3350.0103.336.493.333.336.6712.146.6710.015.04.11.673.335.00.80.090.290.8122.414.86.6713.3321.6744.86.543.335.010.01.6833028.51719600.0883966.67972433.331.6248196.69185233.33263633.33309833.3320.8418.84166.67300.0566.6764.0272.09100.0200.0366.6752.86.193.335.08.3317.630.725.031.6736.6781.624.925.015.035.022.452.7713.3328.3370.0131.213.313.336.6713.3314.4-0.2-0.4-0.150.06360.0-0.63-0.67-0.67-0.67358.45.091.673.336.67388.80.00.00.00.0388.80.00.00.00.0
9291103063용산구이촌1동2451159.063.5501.3211201.84112575.2250.92204060521.76492.554005206101120.512.311.671.673.33915.236213.451666.675333.3311666.674.2432.08-0.05-0.24-0.10.0978.3126.6756.67110.013.093.336.6716.6715.068.3313.3320.06.895.06.678.333.690.761.684.0166.2921.7213.3323.3328.33111.28.695.08.3311.6719.25708375.67507166.67715766.67897733.3325.66188732.26121766.67178400.0240366.6768.43689.8266.67533.33900.0124.03372.87166.67266.67533.3364.1511.788.3313.3315.057.7436.6120.033.3346.6751.32117.6151.67100.0165.053.46193.0296.67161.67280.091.9526.338.3320.036.6732.08-0.06-0.190.00.16481.13-0.3-0.67-0.40.04367.810.943.338.3315.01103.42.691.671.673.331137.621.671.671.671.67
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81431122051서초구서초1동155677.070.7201.5311202.09122273.8265.71305090235.19516.05410540660658.521.971.671.671.67515.734697.92666.672333.3310000.07.4431.920.03-0.250.020.2769.020.043.33103.3312.283.336.6713.3320.3910.016.6728.337.03.335.08.333.690.521.544.2436.9625.3916.6726.6733.3362.1610.676.6710.015.05.04579606.0419366.67535733.33714366.676.72132317.7172933.33117400.0171000.048.721159.89533.33966.671600.070.56606.0266.67500.0833.3380.6410.896.6711.6715.035.2844.4531.6740.051.6765.52108.5338.3383.33153.3342.0127.6645.098.33171.6780.6430.068.3321.6743.3328.56-0.07-0.270.00.22443.49-0.47-0.67-0.67-0.33524.1310.643.338.3316.67668.63.671.675.05.0673.641.671.671.671.67
95701124071송파구잠실본동2501244.0164.3601.4811202.46123573.250.34204070485.97496.83705306401183.772.471.671.673.33982.325916.671333.334333.3311666.678.7139.46-0.05-0.28-0.130.1173.6326.6756.67103.3314.23.336.6713.3314.196.6711.6718.336.193.335.06.672.590.351.042.587.2319.3210.020.028.33134.997.995.06.6711.6710.38732058.61536566.67742166.67912466.6716.61200385.0127033.33191100.0276533.33103.84565.27166.67400.0800.0168.22355.81100.0266.67500.0170.38.53.338.3313.3358.1540.7326.6735.046.6795.53111.3840.086.67166.6749.84168.5558.33135.0243.33151.6123.616.6715.033.3335.31-0.12-0.28-0.080.11743.49-0.42-0.67-0.67-0.2670.810.593.336.6715.01208.693.441.673.335.01233.621.671.671.671.67
65911117072구로구개봉1동2351251.0109.8901.9712202.44123390.2569.363060100359.8558.764905607201187.342.321.671.673.33996.377152.172000.08666.6711666.677.327.680.0-0.21-0.060.1455.2516.6736.6766.6710.963.336.6710.011.226.6710.013.336.245.05.06.675.491.333.276.6960.8919.2410.021.6728.3380.268.315.08.3311.672.77646158.91445533.33614533.33842133.3311.07162213.9994933.33153933.33212766.6788.57625.0233.33466.67833.3366.42378.27133.33300.0533.3349.8210.896.6711.6715.044.2840.8215.033.3353.3347.05142.1673.33125.0201.6738.75238.37125.0220.0346.6749.8229.0210.021.6741.6722.140.01-0.130.070.21512.02-0.25-0.67-0.320.18268.4712.895.010.018.331173.52.981.671.675.01220.561.671.671.671.67