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 (89.3%)Imbalance
야간상주지 변경횟수: 4분위수, 75% is highly imbalanced (63.8%)Imbalance
주간상주지 변경횟수: 4분위수, 25% is highly imbalanced (67.2%)Imbalance
소액결재 사용횟수: 4분위수, 25% is highly imbalanced (51.7%)Imbalance
평균 문자량: 4분위수, 25% is highly imbalanced (96.9%)Imbalance
넷플릭스 사용일수: 4분위수, 25% is highly skewed (γ1 = 32.69106468)Skewed
평균 출근 소요시간 평균 has 1584 (15.8%) zerosZeros
평균 출근 소요시간: 4분위수, 25% has 1584 (15.8%) zerosZeros
평균 출근 소요시간: 4분위수, 50% has 1584 (15.8%) zerosZeros
평균 출근 소요시간: 4분위수, 75% has 1584 (15.8%) zerosZeros
평균 근무시간 평균 has 1564 (15.6%) zerosZeros
평균 근무시간: 4분위수, 25% has 1564 (15.6%) zerosZeros
평균 근무시간: 4분위수, 50% has 1564 (15.6%) zerosZeros
평균 근무시간: 4분위수, 75% has 1564 (15.6%) zerosZeros
소액결재 사용횟수 평균 has 718 (7.2%) zerosZeros
카카오톡 비사용 인구수 has 493 (4.9%) zerosZeros
SNS 사용횟수 has 355 (3.5%) zerosZeros
SNS 사용횟수: 4분위수, 50% has 209 (2.1%) zerosZeros
데이터 사용량: 4분위수, 25% has 369 (3.7%) zerosZeros
집 추정 위치 평일 총 체류시간 미추정 인구수 has 2261 (22.6%) zerosZeros
집 추정 위치 휴일 총 체류시간 미추정 인구수 has 1326 (13.3%) zerosZeros
게임 서비스 사용 미추정 인구수 has 138 (1.4%) zerosZeros
쇼핑 서비스 사용 미추정 인구수 has 186 (1.9%) zerosZeros
유튜브 사용 미추정 인구수 has 510 (5.1%) zerosZeros
유튜브 사용일수 has 190 (1.9%) zerosZeros
유튜브 사용일수: 4분위수, 50% has 107 (1.1%) zerosZeros
배달_브랜드 서비스 사용일수 has 1426 (14.3%) zerosZeros

Reproduction

Analysis started2024-05-04 07:02:10.927278
Analysis finished2024-05-04 07:02:17.807286
Duration6.88 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%
Mean1113669.8
Minimum1101053
Maximum1125074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:18.106522image/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 deviation7407.5373
Coefficient of variation (CV)0.0066514662
Kurtosis-1.2532452
Mean1113669.8
Median Absolute Deviation (MAD)6992
Skewness-0.085925666
Sum1.1136698 × 1010
Variance54871608
MonotonicityNot monotonic
2024-05-04T07:02:18.579743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1108078 24
 
0.2%
1114077 24
 
0.2%
1112072 24
 
0.2%
1107054 24
 
0.2%
1101072 24
 
0.2%
1106089 24
 
0.2%
1108063 24
 
0.2%
1101058 24
 
0.2%
1125061 24
 
0.2%
1121083 24
 
0.2%
Other values (414) 9760
97.6%
ValueCountFrequency (%)
1101053 24
0.2%
1101054 23
0.2%
1101055 23
0.2%
1101056 24
0.2%
1101057 24
0.2%
1101058 24
0.2%
1101060 24
0.2%
1101061 24
0.2%
1101063 24
0.2%
1101064 23
0.2%
ValueCountFrequency (%)
1125074 24
0.2%
1125073 24
0.2%
1125072 24
0.2%
1125071 23
0.2%
1125070 24
0.2%
1125067 24
0.2%
1125066 24
0.2%
1125065 24
0.2%
1125063 23
0.2%
1125061 24
0.2%

자치구
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송파구
 
635
강남구
 
521
관악구
 
496
강서구
 
473
성북구
 
470
Other values (20)
7405 

Length

Max length4
Median length3
Mean length3.073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성북구
2nd row금천구
3rd row구로구
4th row종로구
5th row송파구

Common Values

ValueCountFrequency (%)
송파구 635
 
6.3%
강남구 521
 
5.2%
관악구 496
 
5.0%
강서구 473
 
4.7%
성북구 470
 
4.7%
노원구 449
 
4.5%
강동구 428
 
4.3%
서초구 426
 
4.3%
영등포구 424
 
4.2%
양천구 423
 
4.2%
Other values (15) 5255
52.5%

Length

2024-05-04T07:02:19.120743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 635
 
6.3%
강남구 521
 
5.2%
관악구 496
 
5.0%
강서구 473
 
4.7%
성북구 470
 
4.7%
노원구 449
 
4.5%
강동구 428
 
4.3%
서초구 426
 
4.3%
영등포구 424
 
4.2%
양천구 423
 
4.2%
Other values (15) 5255
52.5%
Distinct423
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:02:20.098386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7928
Min length2

Characters and Unicode

Total characters37928
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 row장위3동
2nd row시흥2동
3rd row구로3동
4th row부암동
5th row문정2동
ValueCountFrequency (%)
신사동 45
 
0.4%
구의3동 24
 
0.2%
창3동 24
 
0.2%
면목4동 24
 
0.2%
청운효자동 24
 
0.2%
이문1동 24
 
0.2%
정릉2동 24
 
0.2%
교남동 24
 
0.2%
천호1동 24
 
0.2%
황학동 24
 
0.2%
Other values (413) 9739
97.4%
2024-05-04T07:02:21.235729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10048
26.5%
1 2293
 
6.0%
2 2281
 
6.0%
3 1012
 
2.7%
893
 
2.4%
4 618
 
1.6%
544
 
1.4%
426
 
1.1%
404
 
1.1%
403
 
1.1%
Other values (178) 19006
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30826
81.3%
Decimal Number 6888
 
18.2%
Other Punctuation 214
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10048
32.6%
893
 
2.9%
544
 
1.8%
426
 
1.4%
404
 
1.3%
403
 
1.3%
379
 
1.2%
377
 
1.2%
377
 
1.2%
375
 
1.2%
Other values (167) 16600
53.9%
Decimal Number
ValueCountFrequency (%)
1 2293
33.3%
2 2281
33.1%
3 1012
14.7%
4 618
 
9.0%
5 262
 
3.8%
6 165
 
2.4%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%
0 23
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30826
81.3%
Common 7102
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10048
32.6%
893
 
2.9%
544
 
1.8%
426
 
1.4%
404
 
1.3%
403
 
1.3%
379
 
1.2%
377
 
1.2%
377
 
1.2%
375
 
1.2%
Other values (167) 16600
53.9%
Common
ValueCountFrequency (%)
1 2293
32.3%
2 2281
32.1%
3 1012
14.2%
4 618
 
8.7%
5 262
 
3.7%
· 214
 
3.0%
6 165
 
2.3%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30826
81.3%
ASCII 6888
 
18.2%
None 214
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10048
32.6%
893
 
2.9%
544
 
1.8%
426
 
1.4%
404
 
1.3%
403
 
1.3%
379
 
1.2%
377
 
1.2%
377
 
1.2%
375
 
1.2%
Other values (167) 16600
53.9%
ASCII
ValueCountFrequency (%)
1 2293
33.3%
2 2281
33.1%
3 1012
14.7%
4 618
 
9.0%
5 262
 
3.8%
6 165
 
2.4%
7 141
 
2.0%
8 69
 
1.0%
9 24
 
0.3%
0 23
 
0.3%
None
ValueCountFrequency (%)
· 214
100.0%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5005 
2
4995 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5005
50.0%
2 4995
50.0%

Length

2024-05-04T07:02:21.640369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:21.936739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5005
50.0%
2 4995
50.0%

연령대
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5055
Minimum20
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:22.207146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q133.75
median50
Q365
95-th percentile75
Maximum75
Range55
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation17.274832
Coefficient of variation (CV)0.36363856
Kurtosis-1.2178897
Mean47.5055
Median Absolute Deviation (MAD)15
Skewness-0.0003083394
Sum475055
Variance298.41981
MonotonicityNot monotonic
2024-05-04T07:02:22.548661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
75 838
8.4%
20 836
8.4%
35 835
8.3%
25 835
8.3%
60 834
8.3%
55 833
8.3%
70 833
8.3%
45 832
8.3%
40 832
8.3%
65 832
8.3%
Other values (2) 1660
16.6%
ValueCountFrequency (%)
20 836
8.4%
25 835
8.3%
30 829
8.3%
35 835
8.3%
40 832
8.3%
45 832
8.3%
50 831
8.3%
55 833
8.3%
60 834
8.3%
65 832
8.3%
ValueCountFrequency (%)
75 838
8.4%
70 833
8.3%
65 832
8.3%
60 834
8.3%
55 833
8.3%
50 831
8.3%
45 832
8.3%
40 832
8.3%
35 835
8.3%
30 829
8.3%

총인구수
Real number (ℝ)

Distinct2810
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.50083
Minimum22
Maximum4764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:23.017532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile284
Q1561
median795
Q31076
95-th percentile1589
Maximum4764
Range4742
Interquartile range (IQR)515

Descriptive statistics

Standard deviation411.19539
Coefficient of variation (CV)0.48404354
Kurtosis2.565593
Mean849.50083
Median Absolute Deviation (MAD)252
Skewness1.0377988
Sum8495008.3
Variance169081.65
MonotonicityNot monotonic
2024-05-04T07:02:24.118833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
738.0 21
 
0.2%
927.0 20
 
0.2%
711.0 19
 
0.2%
603.0 19
 
0.2%
801.0 19
 
0.2%
891.0 18
 
0.2%
720.0 17
 
0.2%
900.0 17
 
0.2%
748.0 16
 
0.2%
774.0 16
 
0.2%
Other values (2800) 9818
98.2%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
27.0 1
 
< 0.1%
32.4 1
 
< 0.1%
41.4 1
 
< 0.1%
46.8 1
 
< 0.1%
48.6 2
< 0.1%
54.0 3
< 0.1%
55.8 1
 
< 0.1%
57.6 1
 
< 0.1%
58.0 2
< 0.1%
ValueCountFrequency (%)
4764.0 1
< 0.1%
3437.0 1
< 0.1%
3112.0 1
< 0.1%
3091.0 1
< 0.1%
3076.0 1
< 0.1%
3063.0 1
< 0.1%
3061.0 1
< 0.1%
2998.0 1
< 0.1%
2965.0 1
< 0.1%
2916.0 1
< 0.1%

1인가구수
Real number (ℝ)

Distinct8160
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.80412
Minimum8.7
Maximum2867.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:24.690034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.7
5-th percentile35.3465
Q172.67
median117
Q3188.385
95-th percentile430.2745
Maximum2867.9
Range2859.2
Interquartile range (IQR)115.715

Descriptive statistics

Standard deviation172.97735
Coefficient of variation (CV)1.0624875
Kurtosis40.670192
Mean162.80412
Median Absolute Deviation (MAD)52.505
Skewness4.9647113
Sum1628041.2
Variance29921.162
MonotonicityNot monotonic
2024-05-04T07:02:25.356715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.25 6
 
0.1%
163.8 5
 
0.1%
99.4 5
 
0.1%
71.56 5
 
0.1%
108.01 5
 
0.1%
80.15 4
 
< 0.1%
109.79 4
 
< 0.1%
84.87 4
 
< 0.1%
97.03 4
 
< 0.1%
55.71 4
 
< 0.1%
Other values (8150) 9954
99.5%
ValueCountFrequency (%)
8.7 1
< 0.1%
9.32 1
< 0.1%
10.01 1
< 0.1%
10.05 1
< 0.1%
10.24 1
< 0.1%
10.55 1
< 0.1%
10.75 1
< 0.1%
10.77 1
< 0.1%
10.89 1
< 0.1%
11.04 1
< 0.1%
ValueCountFrequency (%)
2867.9 1
< 0.1%
2708.36 1
< 0.1%
2367.82 1
< 0.1%
2255.55 1
< 0.1%
2219.2 1
< 0.1%
2189.98 1
< 0.1%
2125.27 1
< 0.1%
2108.5 1
< 0.1%
1932.44 1
< 0.1%
1917.06 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

2024-05-04T07:02:25.921680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:26.233896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.668909
Minimum1
Maximum3.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:26.791467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.34
Q11.47
median1.6
Q31.8
95-th percentile2.25
Maximum3.58
Range2.58
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.28766834
Coefficient of variation (CV)0.1723691
Kurtosis2.8253608
Mean1.668909
Median Absolute Deviation (MAD)0.16
Skewness1.4579657
Sum16689.09
Variance0.082753075
MonotonicityNot monotonic
2024-05-04T07:02:27.332731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.49 216
 
2.2%
1.51 210
 
2.1%
1.48 208
 
2.1%
1.52 208
 
2.1%
1.47 203
 
2.0%
1.44 198
 
2.0%
1.43 196
 
2.0%
1.45 194
 
1.9%
1.46 191
 
1.9%
1.58 189
 
1.9%
Other values (179) 7987
79.9%
ValueCountFrequency (%)
1.0 3
 
< 0.1%
1.1 1
 
< 0.1%
1.11 1
 
< 0.1%
1.18 2
 
< 0.1%
1.19 2
 
< 0.1%
1.2 3
 
< 0.1%
1.21 6
0.1%
1.22 4
 
< 0.1%
1.23 10
0.1%
1.24 8
0.1%
ValueCountFrequency (%)
3.58 1
 
< 0.1%
3.37 1
 
< 0.1%
3.33 2
< 0.1%
3.3 1
 
< 0.1%
3.29 1
 
< 0.1%
3.1 1
 
< 0.1%
3.06 1
 
< 0.1%
3.05 1
 
< 0.1%
3.01 1
 
< 0.1%
2.98 4
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9750 
2
 
249
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 9750
97.5%
2 249
 
2.5%
3 1
 
< 0.1%

Length

2024-05-04T07:02:27.837259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:28.252251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9750
97.5%
2 249
 
2.5%
3 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7235 
2
2689 
3
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 7235
72.4%
2 2689
 
26.9%
3 76
 
0.8%

Length

2024-05-04T07:02:28.713564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:29.188885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7235
72.4%
2 2689
 
26.9%
3 76
 
0.8%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8255 
3
1271 
1
 
418
4
 
54
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8255
82.5%
3 1271
 
12.7%
1 418
 
4.2%
4 54
 
0.5%
5 2
 
< 0.1%

Length

2024-05-04T07:02:29.704636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:30.271547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8255
82.5%
3 1271
 
12.7%
1 418
 
4.2%
4 54
 
0.5%
5 2
 
< 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

2024-05-04T07:02:30.637773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:30.928486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct309
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.327949
Minimum1
Maximum4.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:31.634285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.01
Q12.11
median2.37
Q32.66
95-th percentile3.45
Maximum4.86
Range3.86
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.64554488
Coefficient of variation (CV)0.27730199
Kurtosis0.21272579
Mean2.327949
Median Absolute Deviation (MAD)0.28
Skewness-0.26533342
Sum23279.49
Variance0.4167282
MonotonicityNot monotonic
2024-05-04T07:02:32.296381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 497
 
5.0%
1.01 225
 
2.2%
2.43 125
 
1.2%
2.3 123
 
1.2%
2.36 117
 
1.2%
2.39 117
 
1.2%
2.29 116
 
1.2%
2.31 116
 
1.2%
2.24 115
 
1.1%
2.28 113
 
1.1%
Other values (299) 8336
83.4%
ValueCountFrequency (%)
1.0 497
5.0%
1.01 225
2.2%
1.02 86
 
0.9%
1.03 20
 
0.2%
1.04 5
 
0.1%
1.05 4
 
< 0.1%
1.06 2
 
< 0.1%
1.13 1
 
< 0.1%
1.15 1
 
< 0.1%
1.17 2
 
< 0.1%
ValueCountFrequency (%)
4.86 1
< 0.1%
4.51 1
< 0.1%
4.43 1
< 0.1%
4.38 1
< 0.1%
4.3 1
< 0.1%
4.26 1
< 0.1%
4.25 1
< 0.1%
4.21 1
< 0.1%
4.2 2
< 0.1%
4.19 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8851 
2
1144 
3
 
5

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 8851
88.5%
2 1144
 
11.4%
3 5
 
0.1%

Length

2024-05-04T07:02:32.868515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:33.181526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8851
88.5%
2 1144
 
11.4%
3 5
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6468 
1
2004 
3
1434 
4
 
93
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 6468
64.7%
1 2004
 
20.0%
3 1434
 
14.3%
4 93
 
0.9%
5 1
 
< 0.1%

Length

2024-05-04T07:02:33.678727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:34.042433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6468
64.7%
1 2004
 
20.0%
3 1434
 
14.3%
4 93
 
0.9%
5 1
 
< 0.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9513
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:34.398231image/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 deviation1.0714677
Coefficient of variation (CV)0.36304941
Kurtosis0.098647723
Mean2.9513
Median Absolute Deviation (MAD)0
Skewness-0.27052629
Sum29513
Variance1.1480431
MonotonicityNot monotonic
2024-05-04T07:02:34.757888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 5450
54.5%
4 1819
 
18.2%
1 1574
 
15.7%
5 589
 
5.9%
2 510
 
5.1%
6 58
 
0.6%
ValueCountFrequency (%)
1 1574
 
15.7%
2 510
 
5.1%
3 5450
54.5%
4 1819
 
18.2%
5 589
 
5.9%
6 58
 
0.6%
ValueCountFrequency (%)
6 58
 
0.6%
5 589
 
5.9%
4 1819
 
18.2%
3 5450
54.5%
2 510
 
5.1%
1 1574
 
15.7%
Distinct7498
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.48471
Minimum0
Maximum2834.33
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:35.188681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile134.753
Q1261.3525
median370.15
Q3511.2
95-th percentile819
Maximum2834.33
Range2834.33
Interquartile range (IQR)249.8475

Descriptive statistics

Standard deviation221.40326
Coefficient of variation (CV)0.5393703
Kurtosis5.1981368
Mean410.48471
Median Absolute Deviation (MAD)120.73
Skewness1.5797238
Sum4104847.1
Variance49019.405
MonotonicityNot monotonic
2024-05-04T07:02:35.610677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365.4 15
 
0.1%
338.4 14
 
0.1%
417.6 14
 
0.1%
601.2 13
 
0.1%
426.6 13
 
0.1%
277.2 13
 
0.1%
396.0 13
 
0.1%
437.4 13
 
0.1%
302.4 13
 
0.1%
383.4 12
 
0.1%
Other values (7488) 9867
98.7%
ValueCountFrequency (%)
0.0 1
< 0.1%
3.67 1
< 0.1%
12.6 1
< 0.1%
18.0 2
< 0.1%
21.75 1
< 0.1%
23.4 1
< 0.1%
24.89 1
< 0.1%
27.0 2
< 0.1%
27.43 1
< 0.1%
27.5 1
< 0.1%
ValueCountFrequency (%)
2834.33 1
< 0.1%
1940.86 1
< 0.1%
1908.24 1
< 0.1%
1786.99 1
< 0.1%
1777.38 1
< 0.1%
1760.4 1
< 0.1%
1742.17 1
< 0.1%
1714.21 1
< 0.1%
1669.1 1
< 0.1%
1664.91 1
< 0.1%

평균 출근 소요시간 평균
Real number (ℝ)

ZEROS 

Distinct2877
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.743752
Minimum0
Maximum170
Zeros1584
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:36.027780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151.1025
median57.735
Q364.05
95-th percentile73.3105
Maximum170
Range170
Interquartile range (IQR)12.9475

Descriptive statistics

Standard deviation23.578366
Coefficient of variation (CV)0.46465556
Kurtosis1.2050587
Mean50.743752
Median Absolute Deviation (MAD)6.445
Skewness-1.2743215
Sum507437.52
Variance555.93936
MonotonicityNot monotonic
2024-05-04T07:02:36.593429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1584
 
15.8%
60.0 48
 
0.5%
50.0 27
 
0.3%
70.0 21
 
0.2%
20.0 15
 
0.1%
53.33 14
 
0.1%
65.0 14
 
0.1%
55.0 14
 
0.1%
10.0 13
 
0.1%
57.22 12
 
0.1%
Other values (2867) 8238
82.4%
ValueCountFrequency (%)
0.0 1584
15.8%
10.0 13
 
0.1%
20.0 15
 
0.1%
30.0 11
 
0.1%
34.29 1
 
< 0.1%
36.0 1
 
< 0.1%
37.69 1
 
< 0.1%
38.41 1
 
< 0.1%
39.23 1
 
< 0.1%
39.47 1
 
< 0.1%
ValueCountFrequency (%)
170.0 8
0.1%
150.0 1
 
< 0.1%
130.0 1
 
< 0.1%
120.0 1
 
< 0.1%
118.78 1
 
< 0.1%
115.0 1
 
< 0.1%
110.0 2
 
< 0.1%
108.86 1
 
< 0.1%
105.53 1
 
< 0.1%
105.0 2
 
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.046
Minimum0
Maximum170
Zeros1584
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:37.212169image/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 deviation12.427764
Coefficient of variation (CV)0.5637197
Kurtosis18.36579
Mean22.046
Median Absolute Deviation (MAD)10
Skewness1.245057
Sum220460
Variance154.44933
MonotonicityNot monotonic
2024-05-04T07:02:37.549161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 3991
39.9%
30 3692
36.9%
0 1584
 
15.8%
40 579
 
5.8%
10 72
 
0.7%
50 40
 
0.4%
60 11
 
0.1%
70 9
 
0.1%
170 8
 
0.1%
80 7
 
0.1%
Other values (6) 7
 
0.1%
ValueCountFrequency (%)
0 1584
 
15.8%
10 72
 
0.7%
20 3991
39.9%
30 3692
36.9%
40 579
 
5.8%
50 40
 
0.4%
60 11
 
0.1%
70 9
 
0.1%
80 7
 
0.1%
90 2
 
< 0.1%
ValueCountFrequency (%)
170 8
0.1%
150 1
 
< 0.1%
130 1
 
< 0.1%
120 1
 
< 0.1%
110 1
 
< 0.1%
100 1
 
< 0.1%
90 2
 
< 0.1%
80 7
0.1%
70 9
0.1%
60 11
0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.169
Minimum0
Maximum170
Zeros1584
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:37.919686image/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 deviation19.449866
Coefficient of variation (CV)0.49656273
Kurtosis2.2285195
Mean39.169
Median Absolute Deviation (MAD)10
Skewness-0.6538569
Sum391690
Variance378.29727
MonotonicityNot monotonic
2024-05-04T07:02:38.425054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
40 3439
34.4%
50 3123
31.2%
0 1584
15.8%
60 1053
 
10.5%
30 527
 
5.3%
70 183
 
1.8%
20 25
 
0.2%
80 23
 
0.2%
10 13
 
0.1%
90 12
 
0.1%
Other values (7) 18
 
0.2%
ValueCountFrequency (%)
0 1584
15.8%
10 13
 
0.1%
20 25
 
0.2%
30 527
 
5.3%
40 3439
34.4%
50 3123
31.2%
60 1053
 
10.5%
70 183
 
1.8%
80 23
 
0.2%
90 12
 
0.1%
ValueCountFrequency (%)
170 9
 
0.1%
150 1
 
< 0.1%
140 2
 
< 0.1%
130 1
 
< 0.1%
120 1
 
< 0.1%
110 2
 
< 0.1%
100 2
 
< 0.1%
90 12
 
0.1%
80 23
 
0.2%
70 183
1.8%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.019
Minimum0
Maximum170
Zeros1584
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:38.970820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median80
Q390
95-th percentile110
Maximum170
Range170
Interquartile range (IQR)30

Descriptive statistics

Standard deviation33.179146
Coefficient of variation (CV)0.48779232
Kurtosis0.57113173
Mean68.019
Median Absolute Deviation (MAD)10
Skewness-0.96576972
Sum680190
Variance1100.8557
MonotonicityNot monotonic
2024-05-04T07:02:39.492410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
80 2277
22.8%
70 2260
22.6%
0 1584
15.8%
90 1572
15.7%
60 881
 
8.8%
100 764
 
7.6%
110 296
 
3.0%
120 112
 
1.1%
50 88
 
0.9%
170 36
 
0.4%
Other values (8) 130
 
1.3%
ValueCountFrequency (%)
0 1584
15.8%
10 13
 
0.1%
20 15
 
0.1%
30 11
 
0.1%
40 8
 
0.1%
50 88
 
0.9%
60 881
 
8.8%
70 2260
22.6%
80 2277
22.8%
90 1572
15.7%
ValueCountFrequency (%)
170 36
 
0.4%
160 4
 
< 0.1%
150 14
 
0.1%
140 30
 
0.3%
130 35
 
0.4%
120 112
 
1.1%
110 296
 
3.0%
100 764
 
7.6%
90 1572
15.7%
80 2277
22.8%
Distinct7446
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.02928
Minimum0
Maximum2379.77
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:40.134440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile115.624
Q1230.695
median327.555
Q3459.7425
95-th percentile766.5495
Maximum2379.77
Range2379.77
Interquartile range (IQR)229.0475

Descriptive statistics

Standard deviation212.00173
Coefficient of variation (CV)0.57138814
Kurtosis5.0746693
Mean371.02928
Median Absolute Deviation (MAD)110.135
Skewness1.6770971
Sum3710292.8
Variance44944.735
MonotonicityNot monotonic
2024-05-04T07:02:40.779016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365.4 15
 
0.1%
392.4 15
 
0.1%
178.2 15
 
0.1%
379.8 15
 
0.1%
331.2 15
 
0.1%
176.4 14
 
0.1%
403.2 14
 
0.1%
453.6 14
 
0.1%
343.8 13
 
0.1%
504.0 13
 
0.1%
Other values (7436) 9857
98.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
3.67 1
< 0.1%
9.0 1
< 0.1%
14.4 1
< 0.1%
16.2 1
< 0.1%
16.5 1
< 0.1%
18.0 1
< 0.1%
18.67 1
< 0.1%
19.8 1
< 0.1%
21.6 1
< 0.1%
ValueCountFrequency (%)
2379.77 1
< 0.1%
1940.86 1
< 0.1%
1760.4 1
< 0.1%
1742.17 1
< 0.1%
1669.1 1
< 0.1%
1663.2 1
< 0.1%
1611.0 1
< 0.1%
1593.62 1
< 0.1%
1584.83 1
< 0.1%
1551.02 1
< 0.1%

평균 근무시간 평균
Real number (ℝ)

ZEROS 

Distinct5712
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.45614
Minimum0
Maximum730
Zeros1564
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:41.189394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1496.2725
median529.565
Q3551.285
95-th percentile575.12
Maximum730
Range730
Interquartile range (IQR)55.0125

Descriptive statistics

Standard deviation197.39641
Coefficient of variation (CV)0.43918949
Kurtosis1.2961258
Mean449.45614
Median Absolute Deviation (MAD)25.155
Skewness-1.7636663
Sum4494561.4
Variance38965.344
MonotonicityNot monotonic
2024-05-04T07:02:41.858893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1564
 
15.6%
730.0 23
 
0.2%
550.0 13
 
0.1%
520.0 10
 
0.1%
560.0 9
 
0.1%
510.0 6
 
0.1%
530.0 6
 
0.1%
533.71 6
 
0.1%
540.0 6
 
0.1%
570.0 6
 
0.1%
Other values (5702) 8351
83.5%
ValueCountFrequency (%)
0.0 1564
15.6%
30.0 1
 
< 0.1%
40.0 2
 
< 0.1%
50.0 3
 
< 0.1%
60.0 4
 
< 0.1%
90.0 3
 
< 0.1%
100.0 1
 
< 0.1%
110.0 1
 
< 0.1%
140.0 3
 
< 0.1%
150.0 2
 
< 0.1%
ValueCountFrequency (%)
730.0 23
0.2%
720.0 1
 
< 0.1%
715.0 1
 
< 0.1%
710.0 1
 
< 0.1%
700.0 1
 
< 0.1%
695.0 1
 
< 0.1%
690.0 1
 
< 0.1%
680.0 1
 
< 0.1%
672.43 1
 
< 0.1%
670.63 1
 
< 0.1%

평균 근무시간: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.094
Minimum0
Maximum730
Zeros1564
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:42.414983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1350
median440
Q3480
95-th percentile510
Maximum730
Range730
Interquartile range (IQR)130

Descriptive statistics

Standard deviation171.474
Coefficient of variation (CV)0.46332552
Kurtosis0.60368087
Mean370.094
Median Absolute Deviation (MAD)50
Skewness-1.4024486
Sum3700940
Variance29403.331
MonotonicityNot monotonic
2024-05-04T07:02:42.957922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1564
15.6%
490 732
 
7.3%
500 690
 
6.9%
480 652
 
6.5%
470 620
 
6.2%
460 531
 
5.3%
450 501
 
5.0%
440 482
 
4.8%
430 455
 
4.5%
510 437
 
4.4%
Other values (58) 3336
33.4%
ValueCountFrequency (%)
0 1564
15.6%
30 1
 
< 0.1%
40 2
 
< 0.1%
50 3
 
< 0.1%
60 4
 
< 0.1%
90 3
 
< 0.1%
100 1
 
< 0.1%
110 1
 
< 0.1%
120 1
 
< 0.1%
140 3
 
< 0.1%
ValueCountFrequency (%)
730 23
0.2%
720 1
 
< 0.1%
710 1
 
< 0.1%
700 1
 
< 0.1%
690 2
 
< 0.1%
680 4
 
< 0.1%
660 3
 
< 0.1%
650 4
 
< 0.1%
640 2
 
< 0.1%
630 3
 
< 0.1%

평균 근무시간: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean469.403
Minimum0
Maximum730
Zeros1564
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:43.454251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1530
median550
Q3570
95-th percentile600
Maximum730
Range730
Interquartile range (IQR)40

Descriptive statistics

Standard deviation206.52346
Coefficient of variation (CV)0.43997047
Kurtosis1.2793862
Mean469.403
Median Absolute Deviation (MAD)20
Skewness-1.7487749
Sum4694030
Variance42651.939
MonotonicityNot monotonic
2024-05-04T07:02:44.036462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
560 1608
16.1%
0 1564
15.6%
570 1381
13.8%
550 1318
13.2%
540 907
9.1%
580 823
8.2%
530 530
 
5.3%
590 378
 
3.8%
520 278
 
2.8%
510 180
 
1.8%
Other values (50) 1033
10.3%
ValueCountFrequency (%)
0 1564
15.6%
30 1
 
< 0.1%
40 2
 
< 0.1%
50 3
 
< 0.1%
60 4
 
< 0.1%
90 3
 
< 0.1%
100 1
 
< 0.1%
110 1
 
< 0.1%
120 1
 
< 0.1%
140 3
 
< 0.1%
ValueCountFrequency (%)
730 88
0.9%
720 9
 
0.1%
710 11
 
0.1%
700 7
 
0.1%
690 11
 
0.1%
680 19
 
0.2%
670 16
 
0.2%
660 22
 
0.2%
650 17
 
0.2%
640 29
 
0.3%

평균 근무시간: 4분위수, 75%
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean566.994
Minimum0
Maximum730
Zeros1564
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:44.611110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1620
median660
Q3700
95-th percentile730
Maximum730
Range730
Interquartile range (IQR)80

Descriptive statistics

Standard deviation249.47418
Coefficient of variation (CV)0.4399944
Kurtosis1.2667363
Mean566.994
Median Absolute Deviation (MAD)40
Skewness-1.7592843
Sum5669940
Variance62237.368
MonotonicityNot monotonic
2024-05-04T07:02:45.149777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
730 1937
19.4%
0 1564
15.6%
660 741
 
7.4%
650 728
 
7.3%
670 688
 
6.9%
640 649
 
6.5%
680 602
 
6.0%
630 586
 
5.9%
620 495
 
5.0%
690 470
 
4.7%
Other values (45) 1540
15.4%
ValueCountFrequency (%)
0 1564
15.6%
30 1
 
< 0.1%
40 2
 
< 0.1%
50 3
 
< 0.1%
60 4
 
< 0.1%
90 3
 
< 0.1%
100 1
 
< 0.1%
110 1
 
< 0.1%
140 3
 
< 0.1%
150 2
 
< 0.1%
ValueCountFrequency (%)
730 1937
19.4%
720 235
 
2.4%
710 316
 
3.2%
700 406
 
4.1%
690 470
 
4.7%
680 602
 
6.0%
670 688
 
6.9%
660 741
 
7.4%
650 728
 
7.3%
640 649
 
6.5%
Distinct7890
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820.65727
Minimum20.17
Maximum4648.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:45.893310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.17
5-th percentile277.196
Q1547.1275
median769.115
Q31037.14
95-th percentile1524.9055
Maximum4648.13
Range4627.96
Interquartile range (IQR)490.0125

Descriptive statistics

Standard deviation392.96129
Coefficient of variation (CV)0.47883728
Kurtosis2.5830257
Mean820.65727
Median Absolute Deviation (MAD)239.865
Skewness1.0250895
Sum8206572.7
Variance154418.58
MonotonicityNot monotonic
2024-05-04T07:02:46.594775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
676.8 13
 
0.1%
504.0 13
 
0.1%
432.0 13
 
0.1%
491.4 13
 
0.1%
716.4 12
 
0.1%
451.8 12
 
0.1%
594.0 12
 
0.1%
628.2 11
 
0.1%
599.4 11
 
0.1%
640.8 11
 
0.1%
Other values (7880) 9879
98.8%
ValueCountFrequency (%)
20.17 1
 
< 0.1%
27.0 1
 
< 0.1%
30.6 1
 
< 0.1%
39.6 1
 
< 0.1%
46.8 1
 
< 0.1%
48.6 2
< 0.1%
52.2 3
< 0.1%
54.0 1
 
< 0.1%
57.6 1
 
< 0.1%
58.0 2
< 0.1%
ValueCountFrequency (%)
4648.13 1
< 0.1%
3361.97 1
< 0.1%
3023.09 1
< 0.1%
2907.61 1
< 0.1%
2880.04 1
< 0.1%
2864.82 1
< 0.1%
2832.05 1
< 0.1%
2799.38 1
< 0.1%
2769.17 1
< 0.1%
2757.1 1
< 0.1%

소액결재 사용횟수 평균
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.262367
Minimum0
Maximum3.33
Zeros718
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:47.152461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.14
median2.44
Q32.63
95-th percentile3.33
Maximum3.33
Range3.33
Interquartile range (IQR)0.49

Descriptive statistics

Standard deviation0.74091337
Coefficient of variation (CV)0.32749477
Kurtosis3.615047
Mean2.262367
Median Absolute Deviation (MAD)0.23
Skewness-1.8241284
Sum22623.67
Variance0.54895262
MonotonicityNot monotonic
2024-05-04T07:02:47.806470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 1209
 
12.1%
1.67 926
 
9.3%
0.0 718
 
7.2%
3.33 606
 
6.1%
2.22 567
 
5.7%
2.78 445
 
4.5%
2.33 306
 
3.1%
2.08 281
 
2.8%
2.67 265
 
2.6%
2.38 213
 
2.1%
Other values (116) 4464
44.6%
ValueCountFrequency (%)
0.0 718
7.2%
1.67 926
9.3%
1.76 1
 
< 0.1%
1.77 1
 
< 0.1%
1.78 1
 
< 0.1%
1.79 2
 
< 0.1%
1.82 6
 
0.1%
1.83 4
 
< 0.1%
1.84 1
 
< 0.1%
1.85 19
 
0.2%
ValueCountFrequency (%)
3.33 606
6.1%
3.23 1
 
< 0.1%
3.18 2
 
< 0.1%
3.17 4
 
< 0.1%
3.15 3
 
< 0.1%
3.13 12
 
0.1%
3.11 1
 
< 0.1%
3.1 13
 
0.1%
3.08 4
 
< 0.1%
3.07 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8484 
3.33
 
798
0.0
 
718

Length

Max length4
Median length4
Mean length3.9282
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 8484
84.8%
3.33 798
 
8.0%
0.0 718
 
7.2%

Length

2024-05-04T07:02:48.522337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:48.986785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8484
84.8%
3.33 798
 
8.0%
0.0 718
 
7.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
5835 
3.33
3447 
0.0
718 

Length

Max length4
Median length4
Mean length3.9282
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 5835
58.4%
3.33 3447
34.5%
0.0 718
 
7.2%

Length

2024-05-04T07:02:49.566736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:49.885054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 5835
58.4%
3.33 3447
34.5%
0.0 718
 
7.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
7604 
1.67
1678 
0.0
 
718

Length

Max length4
Median length4
Mean length3.9282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 7604
76.0%
1.67 1678
 
16.8%
0.0 718
 
7.2%

Length

2024-05-04T07:02:50.228352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:02:50.623964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 7604
76.0%
1.67 1678
 
16.8%
0.0 718
 
7.2%
Distinct7867
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean736.54194
Minimum20.17
Maximum4358.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:51.471624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.17
5-th percentile253.772
Q1498.6
median694.985
Q3921.61
95-th percentile1355.6875
Maximum4358.46
Range4338.29
Interquartile range (IQR)423.01

Descriptive statistics

Standard deviation346.31913
Coefficient of variation (CV)0.47019608
Kurtosis3.1104088
Mean736.54194
Median Absolute Deviation (MAD)209.83
Skewness1.0589502
Sum7365419.4
Variance119936.94
MonotonicityNot monotonic
2024-05-04T07:02:52.064106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
466.2 16
 
0.2%
475.2 14
 
0.1%
509.4 14
 
0.1%
403.2 13
 
0.1%
624.6 13
 
0.1%
702.0 12
 
0.1%
655.2 12
 
0.1%
612.0 12
 
0.1%
579.6 11
 
0.1%
711.0 11
 
0.1%
Other values (7857) 9872
98.7%
ValueCountFrequency (%)
20.17 1
< 0.1%
25.2 1
< 0.1%
30.6 1
< 0.1%
39.6 1
< 0.1%
43.2 1
< 0.1%
45.0 1
< 0.1%
46.8 2
< 0.1%
48.6 2
< 0.1%
50.75 1
< 0.1%
54.0 1
< 0.1%
ValueCountFrequency (%)
4358.46 1
< 0.1%
3197.62 1
< 0.1%
2913.65 1
< 0.1%
2768.58 1
< 0.1%
2666.07 1
< 0.1%
2626.61 1
< 0.1%
2602.51 1
< 0.1%
2593.15 1
< 0.1%
2592.79 1
< 0.1%
2470.41 1
< 0.1%
Distinct5832
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5349.5728
Minimum0
Maximum9333.33
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:52.568758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3166.67
Q14686.27
median5428.57
Q36111.11
95-th percentile7222.22
Maximum9333.33
Range9333.33
Interquartile range (IQR)1424.84

Descriptive statistics

Standard deviation1302.5739
Coefficient of variation (CV)0.24349121
Kurtosis2.182378
Mean5349.5728
Median Absolute Deviation (MAD)708.21
Skewness-0.50886133
Sum53495728
Variance1696698.8
MonotonicityNot monotonic
2024-05-04T07:02:53.172851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9333.33 89
 
0.9%
5666.67 52
 
0.5%
4833.33 48
 
0.5%
5000.0 46
 
0.5%
6000.0 46
 
0.5%
4666.67 45
 
0.4%
6333.33 45
 
0.4%
6666.67 43
 
0.4%
5333.33 40
 
0.4%
4333.33 36
 
0.4%
Other values (5822) 9510
95.1%
ValueCountFrequency (%)
0.0 27
0.3%
333.33 25
0.2%
444.44 3
 
< 0.1%
500.0 6
 
0.1%
555.56 1
 
< 0.1%
583.33 1
 
< 0.1%
666.67 12
0.1%
733.33 1
 
< 0.1%
750.0 2
 
< 0.1%
777.78 1
 
< 0.1%
ValueCountFrequency (%)
9333.33 89
0.9%
9259.26 1
 
< 0.1%
9250.0 1
 
< 0.1%
9222.22 2
 
< 0.1%
9166.67 2
 
< 0.1%
9133.33 1
 
< 0.1%
9111.11 1
 
< 0.1%
9090.91 1
 
< 0.1%
9000.0 1
 
< 0.1%
8933.33 1
 
< 0.1%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1820.0664
Minimum0
Maximum9333.33
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:53.780698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile333.33
Q1666.67
median1333.33
Q32333.33
95-th percentile4666.67
Maximum9333.33
Range9333.33
Interquartile range (IQR)1666.66

Descriptive statistics

Standard deviation1680.9773
Coefficient of variation (CV)0.92358021
Kurtosis7.4189357
Mean1820.0664
Median Absolute Deviation (MAD)666.67
Skewness2.4121313
Sum18200664
Variance2825684.8
MonotonicityNot monotonic
2024-05-04T07:02:54.342231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
333.33 1846
18.5%
666.67 1347
13.5%
1333.33 1271
12.7%
2000.0 1189
11.9%
1666.67 1023
10.2%
1000.0 667
 
6.7%
2666.67 658
 
6.6%
3333.33 470
 
4.7%
2333.33 304
 
3.0%
3666.67 302
 
3.0%
Other values (19) 923
9.2%
ValueCountFrequency (%)
0.0 27
 
0.3%
333.33 1846
18.5%
666.67 1347
13.5%
1000.0 667
 
6.7%
1333.33 1271
12.7%
1666.67 1023
10.2%
2000.0 1189
11.9%
2333.33 304
 
3.0%
2666.67 658
 
6.6%
3000.0 264
 
2.6%
ValueCountFrequency (%)
9333.33 194
1.9%
9000.0 11
 
0.1%
8666.67 11
 
0.1%
8333.33 6
 
0.1%
8000.0 12
 
0.1%
7666.67 11
 
0.1%
7333.33 23
 
0.2%
7000.0 27
 
0.3%
6666.67 47
 
0.5%
6333.33 15
 
0.1%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5549.6993
Minimum0
Maximum9333.33
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:54.957211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1000
Q13333.33
median5000
Q39000
95-th percentile9333.33
Maximum9333.33
Range9333.33
Interquartile range (IQR)5666.67

Descriptive statistics

Standard deviation2906.8753
Coefficient of variation (CV)0.52378969
Kurtosis-1.2857488
Mean5549.6993
Median Absolute Deviation (MAD)2333.33
Skewness-0.021438489
Sum55496993
Variance8449924.1
MonotonicityNot monotonic
2024-05-04T07:02:55.573088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9333.33 2489
24.9%
3666.67 989
 
9.9%
3333.33 566
 
5.7%
4666.67 432
 
4.3%
1333.33 378
 
3.8%
6666.67 352
 
3.5%
5000.0 341
 
3.4%
4000.0 338
 
3.4%
4333.33 330
 
3.3%
7333.33 294
 
2.9%
Other values (19) 3491
34.9%
ValueCountFrequency (%)
0.0 27
 
0.3%
333.33 231
2.3%
666.67 227
2.3%
1000.0 134
 
1.3%
1333.33 378
3.8%
1666.67 222
2.2%
2000.0 257
2.6%
2333.33 113
 
1.1%
2666.67 290
2.9%
3000.0 204
2.0%
ValueCountFrequency (%)
9333.33 2489
24.9%
9000.0 117
 
1.2%
8666.67 126
 
1.3%
8333.33 148
 
1.5%
8000.0 143
 
1.4%
7666.67 140
 
1.4%
7333.33 294
 
2.9%
7000.0 242
 
2.4%
6666.67 352
 
3.5%
6333.33 203
 
2.0%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8834.097
Minimum0
Maximum9333.33
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:56.183494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4333.33
Q19333.33
median9333.33
Q39333.33
95-th percentile9333.33
Maximum9333.33
Range9333.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1669.2871
Coefficient of variation (CV)0.18895956
Kurtosis12.383013
Mean8834.097
Median Absolute Deviation (MAD)0
Skewness-3.6074731
Sum88340970
Variance2786519.5
MonotonicityNot monotonic
2024-05-04T07:02:56.549353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9333.33 8889
88.9%
7333.33 73
 
0.7%
3333.33 72
 
0.7%
6666.67 70
 
0.7%
3666.67 66
 
0.7%
8333.33 59
 
0.6%
8000.0 51
 
0.5%
4666.67 51
 
0.5%
1333.33 46
 
0.5%
8666.67 44
 
0.4%
Other values (19) 579
 
5.8%
ValueCountFrequency (%)
0.0 27
0.3%
333.33 42
0.4%
666.67 31
0.3%
1000.0 18
 
0.2%
1333.33 46
0.5%
1666.67 41
0.4%
2000.0 30
0.3%
2333.33 11
 
0.1%
2666.67 36
0.4%
3000.0 33
0.3%
ValueCountFrequency (%)
9333.33 8889
88.9%
9000.0 37
 
0.4%
8666.67 44
 
0.4%
8333.33 59
 
0.6%
8000.0 51
 
0.5%
7666.67 38
 
0.4%
7333.33 73
 
0.7%
7000.0 33
 
0.3%
6666.67 70
 
0.7%
6333.33 19
 
0.2%
Distinct1486
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.886943
Minimum0
Maximum33.33
Zeros41
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:56.940543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.31
Q14.35
median6.5
Q38.89
95-th percentile12.99
Maximum33.33
Range33.33
Interquartile range (IQR)4.54

Descriptive statistics

Standard deviation3.3611158
Coefficient of variation (CV)0.48804177
Kurtosis1.2640767
Mean6.886943
Median Absolute Deviation (MAD)2.25
Skewness0.81139731
Sum68869.43
Variance11.2971
MonotonicityNot monotonic
2024-05-04T07:02:57.463377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.69 44
 
0.4%
0.0 41
 
0.4%
6.25 37
 
0.4%
5.0 33
 
0.3%
7.14 33
 
0.3%
8.33 32
 
0.3%
10.0 29
 
0.3%
5.26 27
 
0.3%
5.56 25
 
0.2%
6.94 25
 
0.2%
Other values (1476) 9674
96.7%
ValueCountFrequency (%)
0.0 41
0.4%
0.24 1
 
< 0.1%
0.25 1
 
< 0.1%
0.35 1
 
< 0.1%
0.38 1
 
< 0.1%
0.42 1
 
< 0.1%
0.45 1
 
< 0.1%
0.49 1
 
< 0.1%
0.5 2
 
< 0.1%
0.52 1
 
< 0.1%
ValueCountFrequency (%)
33.33 1
< 0.1%
26.87 1
< 0.1%
25.0 1
< 0.1%
24.86 1
< 0.1%
24.8 1
< 0.1%
23.2 1
< 0.1%
21.6 1
< 0.1%
21.43 1
< 0.1%
21.39 1
< 0.1%
21.21 2
< 0.1%

카카오톡 비사용 인구수
Real number (ℝ)

ZEROS 

Distinct4490
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.464178
Minimum0
Maximum596.66
Zeros493
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:02:57.976568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q112.7475
median25.2
Q343.2
95-th percentile131.4
Maximum596.66
Range596.66
Interquartile range (IQR)30.4525

Descriptive statistics

Standard deviation55.898987
Coefficient of variation (CV)1.4164488
Kurtosis23.684721
Mean39.464178
Median Absolute Deviation (MAD)14.4
Skewness4.3054318
Sum394641.78
Variance3124.6967
MonotonicityNot monotonic
2024-05-04T07:02:58.537912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 493
 
4.9%
25.2 116
 
1.2%
21.6 105
 
1.1%
23.4 94
 
0.9%
16.2 90
 
0.9%
19.8 87
 
0.9%
28.8 85
 
0.9%
14.4 81
 
0.8%
30.6 76
 
0.8%
34.2 73
 
0.7%
Other values (4480) 8700
87.0%
ValueCountFrequency (%)
0.0 493
4.9%
1.8 15
 
0.1%
1.83 2
 
< 0.1%
1.84 1
 
< 0.1%
1.86 1
 
< 0.1%
1.88 1
 
< 0.1%
1.92 1
 
< 0.1%
1.94 1
 
< 0.1%
1.96 1
 
< 0.1%
1.97 1
 
< 0.1%
ValueCountFrequency (%)
596.66 1
< 0.1%
594.0 1
< 0.1%
565.2 1
< 0.1%
538.2 1
< 0.1%
536.91 1
< 0.1%
520.75 1
< 0.1%
514.68 1
< 0.1%
507.6 1
< 0.1%
505.8 1
< 0.1%
498.6 1
< 0.1%

SNS 사용횟수
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.000908
Minimum-0.36
Maximum0.4
Zeros355
Zeros (%)3.5%
Negative4875
Negative (%)48.8%
Memory size166.0 KiB
2024-05-04T07:02:59.100567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.36
5-th percentile-0.21
Q1-0.07
median0
Q30.08
95-th percentile0.18
Maximum0.4
Range0.76
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.10935233
Coefficient of variation (CV)-120.43208
Kurtosis-0.30372999
Mean-0.000908
Median Absolute Deviation (MAD)0.07
Skewness-0.16975452
Sum-9.08
Variance0.011957931
MonotonicityNot monotonic
2024-05-04T07:02:59.746076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.06 408
 
4.1%
-0.07 399
 
4.0%
-0.08 394
 
3.9%
-0.04 356
 
3.6%
0.0 355
 
3.5%
-0.05 353
 
3.5%
-0.01 348
 
3.5%
0.06 339
 
3.4%
0.05 327
 
3.3%
0.01 323
 
3.2%
Other values (50) 6398
64.0%
ValueCountFrequency (%)
-0.36 1
 
< 0.1%
-0.28 10
 
0.1%
-0.27 19
 
0.2%
-0.26 59
0.6%
-0.25 83
0.8%
-0.24 95
0.9%
-0.23 86
0.9%
-0.22 84
0.8%
-0.21 87
0.9%
-0.2 90
0.9%
ValueCountFrequency (%)
0.4 1
 
< 0.1%
0.3 2
 
< 0.1%
0.28 3
 
< 0.1%
0.27 2
 
< 0.1%
0.26 4
 
< 0.1%
0.25 10
 
0.1%
0.24 20
 
0.2%
0.23 32
 
0.3%
0.22 42
0.4%
0.21 87
0.9%
Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.245674
Minimum-0.45
Maximum0.24
Zeros16
Zeros (%)0.2%
Negative9958
Negative (%)99.6%
Memory size166.0 KiB
2024-05-04T07:03:00.205367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.45
5-th percentile-0.45
Q1-0.3
median-0.25
Q3-0.18
95-th percentile-0.09
Maximum0.24
Range0.69
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.097525878
Coefficient of variation (CV)-0.39697273
Kurtosis0.014026717
Mean-0.245674
Median Absolute Deviation (MAD)0.06
Skewness-0.12138001
Sum-2456.74
Variance0.0095112969
MonotonicityNot monotonic
2024-05-04T07:03:00.843347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.45 574
 
5.7%
-0.28 557
 
5.6%
-0.27 549
 
5.5%
-0.26 546
 
5.5%
-0.25 525
 
5.2%
-0.24 453
 
4.5%
-0.29 451
 
4.5%
-0.23 420
 
4.2%
-0.22 397
 
4.0%
-0.3 358
 
3.6%
Other values (45) 5170
51.7%
ValueCountFrequency (%)
-0.45 574
5.7%
-0.44 130
 
1.3%
-0.43 52
 
0.5%
-0.42 38
 
0.4%
-0.41 41
 
0.4%
-0.4 42
 
0.4%
-0.39 57
 
0.6%
-0.38 77
 
0.8%
-0.37 88
 
0.9%
-0.36 124
 
1.2%
ValueCountFrequency (%)
0.24 1
 
< 0.1%
0.12 1
 
< 0.1%
0.08 1
 
< 0.1%
0.07 1
 
< 0.1%
0.06 1
 
< 0.1%
0.04 4
 
< 0.1%
0.03 5
 
0.1%
0.02 1
 
< 0.1%
0.01 11
0.1%
0.0 16
0.2%

SNS 사용횟수: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05526
Minimum-0.45
Maximum0.51
Zeros209
Zeros (%)2.1%
Negative6341
Negative (%)63.4%
Memory size166.0 KiB
2024-05-04T07:03:01.447644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.45
5-th percentile-0.33
Q1-0.14
median-0.06
Q30.05
95-th percentile0.18
Maximum0.51
Range0.96
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.14404203
Coefficient of variation (CV)-2.6066238
Kurtosis-0.19088505
Mean-0.05526
Median Absolute Deviation (MAD)0.09
Skewness-0.12603471
Sum-552.6
Variance0.020748107
MonotonicityNot monotonic
2024-05-04T07:03:02.006914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 383
 
3.8%
-0.14 358
 
3.6%
-0.15 337
 
3.4%
-0.12 325
 
3.2%
-0.1 305
 
3.0%
-0.11 294
 
2.9%
-0.16 274
 
2.7%
-0.09 274
 
2.7%
-0.06 262
 
2.6%
-0.08 260
 
2.6%
Other values (70) 6928
69.3%
ValueCountFrequency (%)
-0.45 1
 
< 0.1%
-0.43 7
 
0.1%
-0.42 16
 
0.2%
-0.41 20
 
0.2%
-0.4 38
0.4%
-0.39 68
0.7%
-0.38 58
0.6%
-0.37 67
0.7%
-0.36 61
0.6%
-0.35 56
0.6%
ValueCountFrequency (%)
0.51 1
 
< 0.1%
0.34 1
 
< 0.1%
0.33 1
 
< 0.1%
0.32 1
 
< 0.1%
0.31 1
 
< 0.1%
0.3 4
 
< 0.1%
0.29 4
 
< 0.1%
0.28 11
0.1%
0.27 17
0.2%
0.26 25
0.2%
Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20657
Minimum-0.31
Maximum0.67
Zeros90
Zeros (%)0.9%
Negative994
Negative (%)9.9%
Memory size166.0 KiB
2024-05-04T07:03:02.556495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.31
5-th percentile-0.08
Q10.08
median0.2
Q30.33
95-th percentile0.49
Maximum0.67
Range0.98
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.17174599
Coefficient of variation (CV)0.83141787
Kurtosis-0.51862305
Mean0.20657
Median Absolute Deviation (MAD)0.12
Skewness-0.0093133141
Sum2065.7
Variance0.029496685
MonotonicityNot monotonic
2024-05-04T07:03:03.145426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.24 239
 
2.4%
0.13 235
 
2.4%
0.27 234
 
2.3%
0.07 232
 
2.3%
0.11 223
 
2.2%
0.15 221
 
2.2%
0.08 220
 
2.2%
0.16 218
 
2.2%
0.1 217
 
2.2%
0.06 214
 
2.1%
Other values (82) 7747
77.5%
ValueCountFrequency (%)
-0.31 1
 
< 0.1%
-0.28 2
 
< 0.1%
-0.24 1
 
< 0.1%
-0.23 2
 
< 0.1%
-0.22 14
 
0.1%
-0.21 14
 
0.1%
-0.2 16
0.2%
-0.19 27
0.3%
-0.18 38
0.4%
-0.17 25
0.2%
ValueCountFrequency (%)
0.67 3
 
< 0.1%
0.65 1
 
< 0.1%
0.64 3
 
< 0.1%
0.62 5
 
0.1%
0.61 4
 
< 0.1%
0.6 6
 
0.1%
0.59 9
 
0.1%
0.58 16
0.2%
0.57 23
0.2%
0.56 31
0.3%

평균 통화량
Real number (ℝ)

Distinct4045
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.414091
Minimum20.96
Maximum142.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:03.685985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.96
5-th percentile36.959
Q158.34
median67.07
Q373.1
95-th percentile80.0105
Maximum142.5
Range121.54
Interquartile range (IQR)14.76

Descriptive statistics

Standard deviation12.62725
Coefficient of variation (CV)0.19603241
Kurtosis1.0963085
Mean64.414091
Median Absolute Deviation (MAD)6.98
Skewness-0.94822245
Sum644140.91
Variance159.44743
MonotonicityNot monotonic
2024-05-04T07:03:04.275637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.38 12
 
0.1%
70.94 11
 
0.1%
68.13 11
 
0.1%
71.22 11
 
0.1%
70.35 11
 
0.1%
62.18 11
 
0.1%
66.33 10
 
0.1%
66.31 10
 
0.1%
66.32 10
 
0.1%
67.71 10
 
0.1%
Other values (4035) 9893
98.9%
ValueCountFrequency (%)
20.96 1
< 0.1%
21.67 1
< 0.1%
22.1 1
< 0.1%
22.35 1
< 0.1%
23.13 1
< 0.1%
23.27 1
< 0.1%
23.4 1
< 0.1%
23.43 1
< 0.1%
23.46 1
< 0.1%
23.67 1
< 0.1%
ValueCountFrequency (%)
142.5 1
< 0.1%
133.89 1
< 0.1%
106.25 1
< 0.1%
101.18 1
< 0.1%
100.89 1
< 0.1%
99.42 1
< 0.1%
98.67 1
< 0.1%
98.64 1
< 0.1%
98.33 1
< 0.1%
97.6 1
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.47935
Minimum3.33
Maximum56.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:04.774160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile10
Q113.33
median20
Q323.33
95-th percentile26.67
Maximum56.67
Range53.34
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.9113698
Coefficient of variation (CV)0.31989057
Kurtosis-0.10496996
Mean18.47935
Median Absolute Deviation (MAD)3.33
Skewness0.13251739
Sum184793.5
Variance34.944292
MonotonicityNot monotonic
2024-05-04T07:03:05.207665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
16.67 2023
20.2%
20.0 1944
19.4%
13.33 1690
16.9%
23.33 1656
16.6%
26.67 1028
10.3%
10.0 847
8.5%
6.67 408
 
4.1%
30.0 314
 
3.1%
33.33 65
 
0.7%
36.67 9
 
0.1%
Other values (5) 16
 
0.2%
ValueCountFrequency (%)
3.33 5
 
0.1%
6.67 408
 
4.1%
10.0 847
8.5%
13.33 1690
16.9%
16.67 2023
20.2%
20.0 1944
19.4%
23.33 1656
16.6%
26.67 1028
10.3%
30.0 314
 
3.1%
33.33 65
 
0.7%
ValueCountFrequency (%)
56.67 1
 
< 0.1%
50.0 2
 
< 0.1%
43.33 3
 
< 0.1%
40.0 5
 
0.1%
36.67 9
 
0.1%
33.33 65
 
0.7%
30.0 314
 
3.1%
26.67 1028
10.3%
23.33 1656
16.6%
20.0 1944
19.4%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.361358
Minimum10
Maximum133.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:05.644095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q136.67
median43.33
Q350
95-th percentile60
Maximum133.33
Range123.33
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation11.211921
Coefficient of variation (CV)0.2646733
Kurtosis0.59968696
Mean42.361358
Median Absolute Deviation (MAD)6.67
Skewness-0.30224697
Sum423613.58
Variance125.70716
MonotonicityNot monotonic
2024-05-04T07:03:06.064801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46.67 1235
12.3%
50.0 1155
11.6%
43.33 1154
11.5%
40.0 1053
10.5%
36.67 956
9.6%
53.33 948
9.5%
33.33 720
7.2%
56.67 602
6.0%
30.0 561
5.6%
26.67 308
 
3.1%
Other values (16) 1308
13.1%
ValueCountFrequency (%)
10.0 1
 
< 0.1%
13.33 122
 
1.2%
16.67 240
 
2.4%
20.0 185
 
1.8%
23.33 244
 
2.4%
26.67 308
 
3.1%
30.0 561
5.6%
33.33 720
7.2%
36.67 956
9.6%
40.0 1053
10.5%
ValueCountFrequency (%)
133.33 1
 
< 0.1%
120.0 1
 
< 0.1%
96.67 1
 
< 0.1%
83.33 2
 
< 0.1%
80.0 3
 
< 0.1%
76.67 3
 
< 0.1%
73.33 7
 
0.1%
70.0 17
 
0.2%
66.67 51
0.5%
63.33 124
1.2%
Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.533357
Minimum23.33
Maximum226.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:06.583815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.33
5-th percentile46.67
Q180
median93.33
Q3106.67
95-th percentile120
Maximum226.67
Range203.34
Interquartile range (IQR)26.67

Descriptive statistics

Standard deviation21.961369
Coefficient of variation (CV)0.24257765
Kurtosis0.80106817
Mean90.533357
Median Absolute Deviation (MAD)13.34
Skewness-0.51259328
Sum905333.57
Variance482.30174
MonotonicityNot monotonic
2024-05-04T07:03:07.085363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
96.67 798
 
8.0%
100.0 771
 
7.7%
103.33 729
 
7.3%
93.33 685
 
6.9%
106.67 640
 
6.4%
90.0 618
 
6.2%
110.0 548
 
5.5%
86.67 511
 
5.1%
83.33 443
 
4.4%
80.0 421
 
4.2%
Other values (39) 3836
38.4%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
26.67 15
 
0.1%
30.0 50
0.5%
33.33 113
1.1%
36.67 109
1.1%
40.0 93
0.9%
43.33 94
0.9%
46.67 109
1.1%
50.0 111
1.1%
53.33 115
1.1%
ValueCountFrequency (%)
226.67 2
 
< 0.1%
210.0 1
 
< 0.1%
196.67 1
 
< 0.1%
180.0 1
 
< 0.1%
176.67 2
 
< 0.1%
170.0 2
 
< 0.1%
163.33 2
 
< 0.1%
160.0 4
< 0.1%
156.67 2
 
< 0.1%
153.33 5
0.1%

평균 문자량
Real number (ℝ)

Distinct1338
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.055388
Minimum3.33
Maximum31.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:07.964670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile7.78
Q110.13
median11.94
Q313.8725
95-th percentile16.5005
Maximum31.67
Range28.34
Interquartile range (IQR)3.7425

Descriptive statistics

Standard deviation2.7909834
Coefficient of variation (CV)0.23151336
Kurtosis1.1812522
Mean12.055388
Median Absolute Deviation (MAD)1.87
Skewness0.39428064
Sum120553.88
Variance7.7895883
MonotonicityNot monotonic
2024-05-04T07:03:08.496865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 80
 
0.8%
13.33 54
 
0.5%
11.67 35
 
0.4%
11.11 28
 
0.3%
10.57 27
 
0.3%
8.33 27
 
0.3%
8.89 26
 
0.3%
11.9 26
 
0.3%
11.52 25
 
0.2%
9.82 24
 
0.2%
Other values (1328) 9648
96.5%
ValueCountFrequency (%)
3.33 12
0.1%
3.67 1
 
< 0.1%
3.81 1
 
< 0.1%
3.89 1
 
< 0.1%
4.07 1
 
< 0.1%
4.17 4
 
< 0.1%
4.21 1
 
< 0.1%
4.29 1
 
< 0.1%
4.44 3
 
< 0.1%
4.52 1
 
< 0.1%
ValueCountFrequency (%)
31.67 1
< 0.1%
30.0 1
< 0.1%
27.95 1
< 0.1%
26.0 1
< 0.1%
25.71 1
< 0.1%
25.69 1
< 0.1%
25.56 1
< 0.1%
25.52 1
< 0.1%
25.45 1
< 0.1%
25.0 1
< 0.1%

평균 문자량: 4분위수, 25%
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
9946 
6.67
 
52
10.0
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 9946
99.5%
6.67 52
 
0.5%
10.0 2
 
< 0.1%

Length

2024-05-04T07:03:09.032233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:03:09.419649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 9946
99.5%
6.67 52
 
0.5%
10.0 2
 
< 0.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.867118
Minimum3.33
Maximum26.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:09.780295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile3.33
Q13.33
median6.67
Q36.67
95-th percentile6.67
Maximum26.67
Range23.34
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation1.6650989
Coefficient of variation (CV)0.28380185
Kurtosis3.3210614
Mean5.867118
Median Absolute Deviation (MAD)0
Skewness-0.050961021
Sum58671.18
Variance2.7725545
MonotonicityNot monotonic
2024-05-04T07:03:10.288307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6.67 7048
70.5%
3.33 2691
 
26.9%
10.0 244
 
2.4%
13.33 10
 
0.1%
16.67 6
 
0.1%
26.67 1
 
< 0.1%
ValueCountFrequency (%)
3.33 2691
 
26.9%
6.67 7048
70.5%
10.0 244
 
2.4%
13.33 10
 
0.1%
16.67 6
 
0.1%
26.67 1
 
< 0.1%
ValueCountFrequency (%)
26.67 1
 
< 0.1%
16.67 6
 
0.1%
13.33 10
 
0.1%
10.0 244
 
2.4%
6.67 7048
70.5%
3.33 2691
 
26.9%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.54129
Minimum3.33
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:10.729091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile6.67
Q110
median13.33
Q313.33
95-th percentile20
Maximum70
Range66.67
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation3.9402837
Coefficient of variation (CV)0.31418488
Kurtosis16.663538
Mean12.54129
Median Absolute Deviation (MAD)3.33
Skewness2.0526908
Sum125412.9
Variance15.525835
MonotonicityNot monotonic
2024-05-04T07:03:11.250019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
10.0 3710
37.1%
13.33 3307
33.1%
16.67 1504
15.0%
6.67 817
 
8.2%
20.0 435
 
4.3%
23.33 119
 
1.2%
3.33 46
 
0.5%
26.67 27
 
0.3%
33.33 10
 
0.1%
30.0 9
 
0.1%
Other values (7) 16
 
0.2%
ValueCountFrequency (%)
3.33 46
 
0.5%
6.67 817
 
8.2%
10.0 3710
37.1%
13.33 3307
33.1%
16.67 1504
15.0%
20.0 435
 
4.3%
23.33 119
 
1.2%
26.67 27
 
0.3%
30.0 9
 
0.1%
33.33 10
 
0.1%
ValueCountFrequency (%)
70.0 2
 
< 0.1%
53.33 2
 
< 0.1%
50.0 2
 
< 0.1%
46.67 3
 
< 0.1%
43.33 1
 
< 0.1%
40.0 2
 
< 0.1%
36.67 4
 
< 0.1%
33.33 10
 
0.1%
30.0 9
 
0.1%
26.67 27
0.3%
Distinct1605
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.940935
Minimum4.47
Maximum26.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:11.828257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.47
5-th percentile6.8595
Q19.9375
median12.95
Q315.8525
95-th percentile19.21
Maximum26.04
Range21.57
Interquartile range (IQR)5.915

Descriptive statistics

Standard deviation3.8453031
Coefficient of variation (CV)0.2971426
Kurtosis-0.8269799
Mean12.940935
Median Absolute Deviation (MAD)2.97
Skewness0.07851462
Sum129409.35
Variance14.786356
MonotonicityNot monotonic
2024-05-04T07:03:12.345452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.76 21
 
0.2%
14.03 20
 
0.2%
13.09 19
 
0.2%
13.15 18
 
0.2%
12.34 18
 
0.2%
13.97 18
 
0.2%
13.63 17
 
0.2%
13.89 17
 
0.2%
13.59 17
 
0.2%
13.6 17
 
0.2%
Other values (1595) 9818
98.2%
ValueCountFrequency (%)
4.47 1
< 0.1%
4.73 1
< 0.1%
4.83 2
< 0.1%
4.86 1
< 0.1%
4.91 1
< 0.1%
4.96 1
< 0.1%
4.97 1
< 0.1%
5.04 1
< 0.1%
5.06 1
< 0.1%
5.08 2
< 0.1%
ValueCountFrequency (%)
26.04 1
< 0.1%
25.83 1
< 0.1%
24.25 1
< 0.1%
23.86 1
< 0.1%
23.0 1
< 0.1%
22.89 1
< 0.1%
22.65 1
< 0.1%
22.63 1
< 0.1%
22.61 1
< 0.1%
22.23 1
< 0.1%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.011491
Minimum1.67
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:12.914075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.7985252
Coefficient of variation (CV)0.29918122
Kurtosis0.18467818
Mean6.011491
Median Absolute Deviation (MAD)1.66
Skewness0.23726852
Sum60114.91
Variance3.2346929
MonotonicityNot monotonic
2024-05-04T07:03:13.328177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6.67 3790
37.9%
5.0 2497
25.0%
3.33 1850
18.5%
8.33 1490
 
14.9%
10.0 341
 
3.4%
11.67 23
 
0.2%
1.67 3
 
< 0.1%
13.33 2
 
< 0.1%
15.0 2
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 3
 
< 0.1%
3.33 1850
18.5%
5.0 2497
25.0%
6.67 3790
37.9%
8.33 1490
 
14.9%
10.0 341
 
3.4%
11.67 23
 
0.2%
13.33 2
 
< 0.1%
15.0 2
 
< 0.1%
18.33 1
 
< 0.1%
ValueCountFrequency (%)
20.0 1
 
< 0.1%
18.33 1
 
< 0.1%
15.0 2
 
< 0.1%
13.33 2
 
< 0.1%
11.67 23
 
0.2%
10.0 341
 
3.4%
8.33 1490
 
14.9%
6.67 3790
37.9%
5.0 2497
25.0%
3.33 1850
18.5%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.225327
Minimum3.33
Maximum23.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:13.615371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q18.33
median10
Q311.67
95-th percentile15
Maximum23.33
Range20
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation3.1227014
Coefficient of variation (CV)0.30538891
Kurtosis-0.53113351
Mean10.225327
Median Absolute Deviation (MAD)1.67
Skewness0.25861966
Sum102253.27
Variance9.7512642
MonotonicityNot monotonic
2024-05-04T07:03:14.045729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10.0 2277
22.8%
11.67 1674
16.7%
6.67 1543
15.4%
8.33 1428
14.3%
13.33 1094
10.9%
15.0 818
 
8.2%
5.0 737
 
7.4%
16.67 353
 
3.5%
18.33 62
 
0.6%
20.0 7
 
0.1%
Other values (3) 7
 
0.1%
ValueCountFrequency (%)
3.33 5
 
0.1%
5.0 737
 
7.4%
6.67 1543
15.4%
8.33 1428
14.3%
10.0 2277
22.8%
11.67 1674
16.7%
13.33 1094
10.9%
15.0 818
 
8.2%
16.67 353
 
3.5%
18.33 62
 
0.6%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
21.67 1
 
< 0.1%
20.0 7
 
0.1%
18.33 62
 
0.6%
16.67 353
 
3.5%
15.0 818
 
8.2%
13.33 1094
10.9%
11.67 1674
16.7%
10.0 2277
22.8%
8.33 1428
14.3%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.725394
Minimum5
Maximum33.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:14.561485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q111.67
median16.67
Q321.67
95-th percentile26.67
Maximum33.33
Range28.33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.5026284
Coefficient of variation (CV)0.32899843
Kurtosis-0.76609297
Mean16.725394
Median Absolute Deviation (MAD)5
Skewness0.26877195
Sum167253.94
Variance30.27892
MonotonicityNot monotonic
2024-05-04T07:03:14.970889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
16.67 1333
13.3%
15.0 1161
11.6%
13.33 962
9.6%
10.0 957
9.6%
11.67 865
8.6%
18.33 857
8.6%
23.33 690
6.9%
25.0 649
6.5%
20.0 622
6.2%
21.67 605
6.0%
Other values (8) 1299
13.0%
ValueCountFrequency (%)
5.0 2
 
< 0.1%
6.67 204
 
2.0%
8.33 514
 
5.1%
10.0 957
9.6%
11.67 865
8.6%
13.33 962
9.6%
15.0 1161
11.6%
16.67 1333
13.3%
18.33 857
8.6%
20.0 622
6.2%
ValueCountFrequency (%)
33.33 4
 
< 0.1%
31.67 9
 
0.1%
30.0 29
 
0.3%
28.33 172
 
1.7%
26.67 365
3.6%
25.0 649
6.5%
23.33 690
6.9%
21.67 605
6.0%
20.0 622
6.2%
18.33 857
8.6%
Distinct547
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.049518
Minimum2.15
Maximum8.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:15.503510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.15
5-th percentile3.0695
Q14.19
median5.22
Q35.91
95-th percentile6.7005
Maximum8.75
Range6.6
Interquartile range (IQR)1.72

Descriptive statistics

Standard deviation1.1373199
Coefficient of variation (CV)0.22523336
Kurtosis-0.62655237
Mean5.049518
Median Absolute Deviation (MAD)0.82
Skewness-0.28318977
Sum50495.18
Variance1.2934966
MonotonicityNot monotonic
2024-05-04T07:03:16.149055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.01 51
 
0.5%
5.58 50
 
0.5%
5.49 49
 
0.5%
5.79 49
 
0.5%
5.89 49
 
0.5%
5.78 49
 
0.5%
5.69 48
 
0.5%
5.64 47
 
0.5%
5.57 47
 
0.5%
5.97 46
 
0.5%
Other values (537) 9515
95.2%
ValueCountFrequency (%)
2.15 1
 
< 0.1%
2.3 2
< 0.1%
2.31 3
< 0.1%
2.33 1
 
< 0.1%
2.34 1
 
< 0.1%
2.36 2
< 0.1%
2.37 4
< 0.1%
2.38 2
< 0.1%
2.39 4
< 0.1%
2.4 3
< 0.1%
ValueCountFrequency (%)
8.75 1
< 0.1%
8.6 2
< 0.1%
8.33 1
< 0.1%
8.32 1
< 0.1%
8.28 1
< 0.1%
8.18 1
< 0.1%
8.16 1
< 0.1%
8.0 1
< 0.1%
7.92 1
< 0.1%
7.9 1
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
6674 
1.67
2809 
5.0
 
513
6.67
 
4

Length

Max length4
Median length4
Mean length3.9487
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 6674
66.7%
1.67 2809
28.1%
5.0 513
 
5.1%
6.67 4
 
< 0.1%

Length

2024-05-04T07:03:16.620793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:03:16.968792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 6674
66.7%
1.67 2809
28.1%
5.0 513
 
5.1%
6.67 4
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
5049 
3.33
4037 
1.67
601 
6.67
 
305
8.33
 
8

Length

Max length4
Median length3
Mean length3.4951
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5.0 5049
50.5%
3.33 4037
40.4%
1.67 601
 
6.0%
6.67 305
 
3.0%
8.33 8
 
0.1%

Length

2024-05-04T07:03:17.451346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:03:17.848699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 5049
50.5%
3.33 4037
40.4%
1.67 601
 
6.0%
6.67 305
 
3.0%
8.33 8
 
0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.881186
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:18.284846image/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 deviation1.425612
Coefficient of variation (CV)0.24240213
Kurtosis-0.43990146
Mean5.881186
Median Absolute Deviation (MAD)1.66
Skewness-0.1129981
Sum58811.86
Variance2.0323697
MonotonicityNot monotonic
2024-05-04T07:03:18.751909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6.67 4357
43.6%
5.0 3308
33.1%
3.33 1258
 
12.6%
8.33 1044
 
10.4%
10.0 30
 
0.3%
11.67 2
 
< 0.1%
1.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 1258
 
12.6%
5.0 3308
33.1%
6.67 4357
43.6%
8.33 1044
 
10.4%
10.0 30
 
0.3%
11.67 2
 
< 0.1%
ValueCountFrequency (%)
11.67 2
 
< 0.1%
10.0 30
 
0.3%
8.33 1044
 
10.4%
6.67 4357
43.6%
5.0 3308
33.1%
3.33 1258
 
12.6%
1.67 1
 
< 0.1%

데이터 사용량
Real number (ℝ)

Distinct1537
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.395175
Minimum0.17
Maximum24.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:19.155748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile0.59
Q11.6
median4.425
Q38.55
95-th percentile13.25
Maximum24.4
Range24.23
Interquartile range (IQR)6.95

Descriptive statistics

Standard deviation4.2087358
Coefficient of variation (CV)0.78009254
Kurtosis-0.66579593
Mean5.395175
Median Absolute Deviation (MAD)3.155
Skewness0.63760222
Sum53951.75
Variance17.713457
MonotonicityNot monotonic
2024-05-04T07:03:19.759501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.67 35
 
0.4%
0.68 32
 
0.3%
1.31 31
 
0.3%
0.7 30
 
0.3%
0.74 29
 
0.3%
0.92 28
 
0.3%
1.3 28
 
0.3%
0.6 28
 
0.3%
0.62 27
 
0.3%
1.49 27
 
0.3%
Other values (1527) 9705
97.0%
ValueCountFrequency (%)
0.17 1
 
< 0.1%
0.19 1
 
< 0.1%
0.21 3
 
< 0.1%
0.22 1
 
< 0.1%
0.23 4
< 0.1%
0.24 6
0.1%
0.25 7
0.1%
0.26 7
0.1%
0.27 3
 
< 0.1%
0.28 8
0.1%
ValueCountFrequency (%)
24.4 1
< 0.1%
22.44 1
< 0.1%
21.95 1
< 0.1%
18.98 1
< 0.1%
18.85 1
< 0.1%
18.79 1
< 0.1%
18.24 1
< 0.1%
18.1 1
< 0.1%
18.03 1
< 0.1%
17.91 1
< 0.1%

데이터 사용량: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct465
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.033947
Minimum0
Maximum16.66
Zeros369
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:20.441983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.18
median0.55
Q31.81
95-th percentile3.07
Maximum16.66
Range16.66
Interquartile range (IQR)1.63

Descriptive statistics

Standard deviation1.0942581
Coefficient of variation (CV)1.0583309
Kurtosis8.1506984
Mean1.033947
Median Absolute Deviation (MAD)0.48
Skewness1.6829896
Sum10339.47
Variance1.1974008
MonotonicityNot monotonic
2024-05-04T07:03:21.243203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 369
 
3.7%
0.01 241
 
2.4%
0.05 155
 
1.6%
0.11 136
 
1.4%
0.04 127
 
1.3%
0.02 127
 
1.3%
0.09 125
 
1.2%
0.1 125
 
1.2%
0.2 123
 
1.2%
0.12 120
 
1.2%
Other values (455) 8352
83.5%
ValueCountFrequency (%)
0.0 369
3.7%
0.01 241
2.4%
0.02 127
 
1.3%
0.03 81
 
0.8%
0.04 127
 
1.3%
0.05 155
1.6%
0.06 97
 
1.0%
0.07 99
 
1.0%
0.08 107
 
1.1%
0.09 125
 
1.2%
ValueCountFrequency (%)
16.66 1
< 0.1%
12.4 1
< 0.1%
12.0 1
< 0.1%
10.26 1
< 0.1%
10.05 1
< 0.1%
9.84 1
< 0.1%
9.3 1
< 0.1%
8.64 1
< 0.1%
6.7 1
< 0.1%
6.33 1
< 0.1%
Distinct1162
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.087191
Minimum0.02
Maximum21.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:21.864924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.08
Q10.57
median1.76
Q35.21
95-th percentile9.47
Maximum21.18
Range21.16
Interquartile range (IQR)4.64

Descriptive statistics

Standard deviation3.0924009
Coefficient of variation (CV)1.0016876
Kurtosis0.30664836
Mean3.087191
Median Absolute Deviation (MAD)1.53
Skewness1.0569747
Sum30871.91
Variance9.5629432
MonotonicityNot monotonic
2024-05-04T07:03:22.477636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 146
 
1.5%
0.03 104
 
1.0%
0.05 78
 
0.8%
0.09 71
 
0.7%
0.08 70
 
0.7%
0.17 62
 
0.6%
0.66 62
 
0.6%
0.47 60
 
0.6%
0.33 57
 
0.6%
0.36 56
 
0.6%
Other values (1152) 9234
92.3%
ValueCountFrequency (%)
0.02 10
 
0.1%
0.03 104
1.0%
0.04 146
1.5%
0.05 78
0.8%
0.06 49
 
0.5%
0.07 44
 
0.4%
0.08 70
0.7%
0.09 71
0.7%
0.1 55
 
0.5%
0.11 48
 
0.5%
ValueCountFrequency (%)
21.18 1
< 0.1%
18.6 1
< 0.1%
17.13 1
< 0.1%
16.74 1
< 0.1%
16.48 2
< 0.1%
16.44 1
< 0.1%
15.86 1
< 0.1%
15.29 1
< 0.1%
14.76 1
< 0.1%
14.59 1
< 0.1%
Distinct2109
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.128582
Minimum0.1
Maximum33.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:22.991458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q11.55
median5.07
Q311.92
95-th percentile19.1
Maximum33.51
Range33.41
Interquartile range (IQR)10.37

Descriptive statistics

Standard deviation6.2754213
Coefficient of variation (CV)0.88031831
Kurtosis-0.65689115
Mean7.128582
Median Absolute Deviation (MAD)4.14
Skewness0.70548916
Sum71285.82
Variance39.380912
MonotonicityNot monotonic
2024-05-04T07:03:23.603408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16 45
 
0.4%
0.18 44
 
0.4%
0.17 35
 
0.4%
0.51 35
 
0.4%
0.56 32
 
0.3%
0.2 31
 
0.3%
0.19 29
 
0.3%
1.41 29
 
0.3%
0.47 29
 
0.3%
0.99 29
 
0.3%
Other values (2099) 9662
96.6%
ValueCountFrequency (%)
0.1 2
 
< 0.1%
0.11 5
 
0.1%
0.12 4
 
< 0.1%
0.13 19
0.2%
0.14 27
0.3%
0.15 27
0.3%
0.16 45
0.4%
0.17 35
0.4%
0.18 44
0.4%
0.19 29
0.3%
ValueCountFrequency (%)
33.51 1
< 0.1%
31.49 1
< 0.1%
28.02 1
< 0.1%
27.49 1
< 0.1%
26.55 1
< 0.1%
25.86 1
< 0.1%
25.71 1
< 0.1%
25.51 1
< 0.1%
25.46 1
< 0.1%
25.39 1
< 0.1%
Distinct5370
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.850905
Minimum0
Maximum715.54
Zeros85
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:24.145224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.7195
Q127.8675
median45.72
Q369.7425
95-th percentile136.4145
Maximum715.54
Range715.54
Interquartile range (IQR)41.875

Descriptive statistics

Standard deviation49.82099
Coefficient of variation (CV)0.87634472
Kurtosis17.98612
Mean56.850905
Median Absolute Deviation (MAD)19.835
Skewness3.3538678
Sum568509.05
Variance2482.1311
MonotonicityNot monotonic
2024-05-04T07:03:24.597804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 85
 
0.9%
48.6 72
 
0.7%
30.6 71
 
0.7%
28.8 67
 
0.7%
32.4 67
 
0.7%
41.4 66
 
0.7%
25.2 65
 
0.7%
45.0 65
 
0.7%
27.0 62
 
0.6%
37.8 61
 
0.6%
Other values (5360) 9319
93.2%
ValueCountFrequency (%)
0.0 85
0.9%
1.8 4
 
< 0.1%
2.26 1
 
< 0.1%
2.44 1
 
< 0.1%
2.46 1
 
< 0.1%
2.52 1
 
< 0.1%
2.53 1
 
< 0.1%
2.55 1
 
< 0.1%
2.58 1
 
< 0.1%
2.59 1
 
< 0.1%
ValueCountFrequency (%)
715.54 1
< 0.1%
502.13 1
< 0.1%
464.4 1
< 0.1%
457.2 1
< 0.1%
453.6 1
< 0.1%
447.79 1
< 0.1%
443.59 1
< 0.1%
439.2 2
< 0.1%
432.0 1
< 0.1%
430.2 1
< 0.1%

평일 총 이동 횟수
Real number (ℝ)

Distinct2109
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.870549
Minimum6.9
Maximum39.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:25.154792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile11.399
Q118.25
median21.15
Q324.3125
95-th percentile27.92
Maximum39.17
Range32.27
Interquartile range (IQR)6.0625

Descriptive statistics

Standard deviation4.8292418
Coefficient of variation (CV)0.23139026
Kurtosis-0.040515845
Mean20.870549
Median Absolute Deviation (MAD)3.04
Skewness-0.4697238
Sum208705.49
Variance23.321577
MonotonicityNot monotonic
2024-05-04T07:03:25.734879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.56 25
 
0.2%
19.79 20
 
0.2%
20.51 18
 
0.2%
21.1 17
 
0.2%
21.5 17
 
0.2%
20.3 17
 
0.2%
22.4 16
 
0.2%
20.73 16
 
0.2%
23.82 16
 
0.2%
21.81 16
 
0.2%
Other values (2099) 9822
98.2%
ValueCountFrequency (%)
6.9 1
< 0.1%
7.49 1
< 0.1%
7.55 1
< 0.1%
7.57 1
< 0.1%
7.59 1
< 0.1%
7.61 2
< 0.1%
7.64 1
< 0.1%
7.66 1
< 0.1%
7.69 2
< 0.1%
7.75 1
< 0.1%
ValueCountFrequency (%)
39.17 1
< 0.1%
37.0 1
< 0.1%
35.35 1
< 0.1%
35.27 1
< 0.1%
33.33 1
< 0.1%
33.24 1
< 0.1%
32.96 1
< 0.1%
32.91 1
< 0.1%
32.78 1
< 0.1%
32.31 1
< 0.1%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.036346
Minimum1.67
Maximum36.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:26.304657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q18.33
median11.67
Q315
95-th percentile21.67
Maximum36.67
Range35
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation5.334969
Coefficient of variation (CV)0.44323825
Kurtosis-0.37139055
Mean12.036346
Median Absolute Deviation (MAD)3.34
Skewness0.35652103
Sum120363.46
Variance28.461894
MonotonicityNot monotonic
2024-05-04T07:03:26.880287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.0 1431
14.3%
11.67 1278
12.8%
8.33 1049
10.5%
13.33 1006
10.1%
15.0 788
7.9%
6.67 725
7.2%
3.33 665
6.7%
16.67 662
6.6%
18.33 647
6.5%
5.0 581
5.8%
Other values (10) 1168
11.7%
ValueCountFrequency (%)
1.67 54
 
0.5%
3.33 665
6.7%
5.0 581
5.8%
6.67 725
7.2%
8.33 1049
10.5%
10.0 1431
14.3%
11.67 1278
12.8%
13.33 1006
10.1%
15.0 788
7.9%
16.67 662
6.6%
ValueCountFrequency (%)
36.67 1
 
< 0.1%
31.67 1
 
< 0.1%
30.0 5
 
0.1%
28.33 2
 
< 0.1%
26.67 37
 
0.4%
25.0 105
 
1.1%
23.33 167
 
1.7%
21.67 316
3.2%
20.0 480
4.8%
18.33 647
6.5%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.125115
Minimum5
Maximum36.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:27.378005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q116.67
median21.67
Q326.67
95-th percentile30
Maximum36.67
Range31.67
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.522992
Coefficient of variation (CV)0.308779
Kurtosis-0.34507807
Mean21.125115
Median Absolute Deviation (MAD)5
Skewness-0.64679142
Sum211251.15
Variance42.549424
MonotonicityNot monotonic
2024-05-04T07:03:27.884784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
28.33 1158
11.6%
26.67 1076
10.8%
21.67 986
9.9%
23.33 970
9.7%
25.0 937
9.4%
20.0 913
9.1%
18.33 725
7.2%
16.67 563
 
5.6%
30.0 498
 
5.0%
15.0 455
 
4.5%
Other values (10) 1719
17.2%
ValueCountFrequency (%)
5.0 139
 
1.4%
6.67 295
 
2.9%
8.33 310
 
3.1%
10.0 238
 
2.4%
11.67 280
 
2.8%
13.33 315
 
3.1%
15.0 455
4.5%
16.67 563
5.6%
18.33 725
7.2%
20.0 913
9.1%
ValueCountFrequency (%)
36.67 3
 
< 0.1%
35.0 3
 
< 0.1%
33.33 8
 
0.1%
31.67 128
 
1.3%
30.0 498
5.0%
28.33 1158
11.6%
26.67 1076
10.8%
25.0 937
9.4%
23.33 970
9.7%
21.67 986
9.9%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.676249
Minimum8.33
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:28.250683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.33
5-th percentile16.67
Q126.67
median30
Q331.67
95-th percentile35
Maximum45
Range36.67
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.535117
Coefficient of variation (CV)0.19302096
Kurtosis1.3264401
Mean28.676249
Median Absolute Deviation (MAD)3.33
Skewness-1.1091778
Sum286762.49
Variance30.637521
MonotonicityNot monotonic
2024-05-04T07:03:29.033423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30.0 1923
19.2%
28.33 1428
14.3%
31.67 1289
12.9%
33.33 1075
10.8%
26.67 887
8.9%
35.0 772
7.7%
25.0 579
 
5.8%
36.67 346
 
3.5%
23.33 328
 
3.3%
21.67 233
 
2.3%
Other values (12) 1140
11.4%
ValueCountFrequency (%)
8.33 3
 
< 0.1%
10.0 42
 
0.4%
11.67 110
 
1.1%
13.33 158
1.6%
15.0 126
 
1.3%
16.67 175
1.8%
18.33 188
1.9%
20.0 200
2.0%
21.67 233
2.3%
23.33 328
3.3%
ValueCountFrequency (%)
45.0 1
 
< 0.1%
41.67 3
 
< 0.1%
40.0 18
 
0.2%
38.33 116
 
1.2%
36.67 346
 
3.5%
35.0 772
7.7%
33.33 1075
10.8%
31.67 1289
12.9%
30.0 1923
19.2%
28.33 1428
14.3%
Distinct6307
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.61174
Minimum0
Maximum967
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:29.667406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.6475
Q155.8975
median87.67
Q3129.6
95-th percentile250.2
Maximum967
Range967
Interquartile range (IQR)73.7025

Descriptive statistics

Standard deviation84.410412
Coefficient of variation (CV)0.79175533
Kurtosis13.475255
Mean106.61174
Median Absolute Deviation (MAD)35.47
Skewness2.9589003
Sum1066117.4
Variance7125.1177
MonotonicityNot monotonic
2024-05-04T07:03:30.338168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.8 48
 
0.5%
75.6 43
 
0.4%
108.0 43
 
0.4%
97.2 42
 
0.4%
84.6 40
 
0.4%
64.8 40
 
0.4%
46.8 35
 
0.4%
90.0 35
 
0.4%
68.4 34
 
0.3%
57.6 34
 
0.3%
Other values (6297) 9606
96.1%
ValueCountFrequency (%)
0.0 28
0.3%
1.8 2
 
< 0.1%
1.83 1
 
< 0.1%
1.95 1
 
< 0.1%
2.86 1
 
< 0.1%
3.0 1
 
< 0.1%
3.11 1
 
< 0.1%
3.3 1
 
< 0.1%
3.6 1
 
< 0.1%
3.85 1
 
< 0.1%
ValueCountFrequency (%)
967.0 1
< 0.1%
819.15 1
< 0.1%
774.0 1
< 0.1%
771.9 1
< 0.1%
757.8 1
< 0.1%
747.0 1
< 0.1%
739.8 1
< 0.1%
718.2 1
< 0.1%
711.0 1
< 0.1%
709.93 1
< 0.1%
Distinct731
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.095366
Minimum3.82
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:30.860999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.82
5-th percentile5.26
Q17.39
median8.32
Q39.07
95-th percentile9.95
Maximum15
Range11.18
Interquartile range (IQR)1.68

Descriptive statistics

Standard deviation1.3936248
Coefficient of variation (CV)0.17215094
Kurtosis0.46470259
Mean8.095366
Median Absolute Deviation (MAD)0.82
Skewness-0.67263816
Sum80953.66
Variance1.9421902
MonotonicityNot monotonic
2024-05-04T07:03:31.500997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 49
 
0.5%
8.52 45
 
0.4%
9.18 45
 
0.4%
8.7 44
 
0.4%
8.4 43
 
0.4%
8.58 43
 
0.4%
8.98 43
 
0.4%
8.87 43
 
0.4%
7.91 43
 
0.4%
8.63 41
 
0.4%
Other values (721) 9561
95.6%
ValueCountFrequency (%)
3.82 1
 
< 0.1%
3.85 2
< 0.1%
3.89 1
 
< 0.1%
3.9 1
 
< 0.1%
3.93 1
 
< 0.1%
3.95 1
 
< 0.1%
3.96 1
 
< 0.1%
3.97 1
 
< 0.1%
3.98 3
< 0.1%
4.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
< 0.1%
14.19 1
< 0.1%
14.17 1
< 0.1%
13.33 1
< 0.1%
13.13 1
< 0.1%
12.82 1
< 0.1%
12.67 1
< 0.1%
12.6 1
< 0.1%
12.56 1
< 0.1%
12.55 1
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.489116
Minimum1.67
Maximum13.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:32.007369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median5
Q35
95-th percentile6.67
Maximum13.33
Range11.66
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.3772132
Coefficient of variation (CV)0.30678939
Kurtosis0.13864515
Mean4.489116
Median Absolute Deviation (MAD)0
Skewness-0.18451724
Sum44891.16
Variance1.8967161
MonotonicityNot monotonic
2024-05-04T07:03:32.512827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.0 5023
50.2%
3.33 2767
27.7%
6.67 1303
 
13.0%
1.67 856
 
8.6%
8.33 45
 
0.4%
10.0 3
 
< 0.1%
11.67 2
 
< 0.1%
13.33 1
 
< 0.1%
ValueCountFrequency (%)
1.67 856
 
8.6%
3.33 2767
27.7%
5.0 5023
50.2%
6.67 1303
 
13.0%
8.33 45
 
0.4%
10.0 3
 
< 0.1%
11.67 2
 
< 0.1%
13.33 1
 
< 0.1%
ValueCountFrequency (%)
13.33 1
 
< 0.1%
11.67 2
 
< 0.1%
10.0 3
 
< 0.1%
8.33 45
 
0.4%
6.67 1303
 
13.0%
5.0 5023
50.2%
3.33 2767
27.7%
1.67 856
 
8.6%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.56781
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:32.988189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q16.67
median8.33
Q38.33
95-th percentile10
Maximum15
Range13.33
Interquartile range (IQR)1.66

Descriptive statistics

Standard deviation1.7467763
Coefficient of variation (CV)0.23081662
Kurtosis0.21932635
Mean7.56781
Median Absolute Deviation (MAD)1.66
Skewness-0.55567572
Sum75678.1
Variance3.0512276
MonotonicityNot monotonic
2024-05-04T07:03:33.448833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8.33 4296
43.0%
6.67 2707
27.1%
10.0 1449
 
14.5%
5.0 938
 
9.4%
3.33 536
 
5.4%
11.67 63
 
0.6%
13.33 9
 
0.1%
15.0 1
 
< 0.1%
1.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 536
 
5.4%
5.0 938
 
9.4%
6.67 2707
27.1%
8.33 4296
43.0%
10.0 1449
 
14.5%
11.67 63
 
0.6%
13.33 9
 
0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
13.33 9
 
0.1%
11.67 63
 
0.6%
10.0 1449
 
14.5%
8.33 4296
43.0%
6.67 2707
27.1%
5.0 938
 
9.4%
3.33 536
 
5.4%
1.67 1
 
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.101811
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:33.789173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.924232
Coefficient of variation (CV)0.17332596
Kurtosis0.69413745
Mean11.101811
Median Absolute Deviation (MAD)1.66
Skewness-0.76687632
Sum111018.11
Variance3.702669
MonotonicityNot monotonic
2024-05-04T07:03:34.151176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11.67 4207
42.1%
10.0 2201
22.0%
13.33 2035
20.3%
8.33 773
 
7.7%
6.67 524
 
5.2%
15.0 137
 
1.4%
5.0 108
 
1.1%
16.67 12
 
0.1%
18.33 2
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
5.0 108
 
1.1%
6.67 524
 
5.2%
8.33 773
 
7.7%
10.0 2201
22.0%
11.67 4207
42.1%
13.33 2035
20.3%
15.0 137
 
1.4%
16.67 12
 
0.1%
18.33 2
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
20.0 1
 
< 0.1%
18.33 2
 
< 0.1%
16.67 12
 
0.1%
15.0 137
 
1.4%
13.33 2035
20.3%
11.67 4207
42.1%
10.0 2201
22.0%
8.33 773
 
7.7%
6.67 524
 
5.2%
5.0 108
 
1.1%
Distinct1644
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.510039
Minimum0
Maximum62.78
Zeros2261
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:34.734176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.8
median3.93
Q38.0225
95-th percentile16.2
Maximum62.78
Range62.78
Interquartile range (IQR)6.2225

Descriptive statistics

Standard deviation5.528197
Coefficient of variation (CV)1.0032954
Kurtosis5.4355983
Mean5.510039
Median Absolute Deviation (MAD)3.45
Skewness1.7253672
Sum55100.39
Variance30.560962
MonotonicityNot monotonic
2024-05-04T07:03:35.293251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2261
 
22.6%
1.8 606
 
6.1%
3.6 515
 
5.1%
5.4 307
 
3.1%
7.2 223
 
2.2%
9.0 153
 
1.5%
10.8 111
 
1.1%
12.6 60
 
0.6%
16.2 32
 
0.3%
14.4 30
 
0.3%
Other values (1634) 5702
57.0%
ValueCountFrequency (%)
0.0 2261
22.6%
1.8 606
 
6.1%
1.81 3
 
< 0.1%
1.82 10
 
0.1%
1.83 10
 
0.1%
1.84 5
 
0.1%
1.85 7
 
0.1%
1.86 10
 
0.1%
1.87 7
 
0.1%
1.88 5
 
0.1%
ValueCountFrequency (%)
62.78 1
< 0.1%
55.07 1
< 0.1%
49.32 1
< 0.1%
48.5 1
< 0.1%
44.2 1
< 0.1%
42.04 1
< 0.1%
39.81 1
< 0.1%
38.98 1
< 0.1%
38.4 1
< 0.1%
37.3 1
< 0.1%
Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677285.48
Minimum357465.33
Maximum1014090.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:35.835400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum357465.33
5-th percentile537374.04
Q1600819.85
median663666.4
Q3730711.52
95-th percentile885370.05
Maximum1014090.1
Range656624.76
Interquartile range (IQR)129891.67

Descriptive statistics

Standard deviation103449.76
Coefficient of variation (CV)0.15274173
Kurtosis0.22693614
Mean677285.48
Median Absolute Deviation (MAD)64845.42
Skewness0.70563709
Sum6.7728548 × 109
Variance1.0701852 × 1010
MonotonicityNot monotonic
2024-05-04T07:03:36.524924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
639803.87 2
 
< 0.1%
569795.51 2
 
< 0.1%
570877.17 1
 
< 0.1%
616476.8 1
 
< 0.1%
698010.04 1
 
< 0.1%
685690.08 1
 
< 0.1%
750431.45 1
 
< 0.1%
721750.99 1
 
< 0.1%
641591.49 1
 
< 0.1%
684048.01 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
357465.33 1
< 0.1%
366000.0 1
< 0.1%
367593.59 1
< 0.1%
390876.52 1
< 0.1%
395292.03 1
< 0.1%
406661.36 1
< 0.1%
409287.18 1
< 0.1%
418380.3 1
< 0.1%
425589.58 1
< 0.1%
434105.92 1
< 0.1%
ValueCountFrequency (%)
1014090.09 1
< 0.1%
1009060.73 1
< 0.1%
1005139.55 1
< 0.1%
1004295.94 1
< 0.1%
1003454.27 1
< 0.1%
1002695.65 1
< 0.1%
1001752.68 1
< 0.1%
1001252.42 1
< 0.1%
999227.25 1
< 0.1%
998773.89 1
< 0.1%
Distinct6290
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504727.63
Minimum224266.67
Maximum947066.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:37.094833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum224266.67
5-th percentile379900
Q1426725
median476433.33
Q3547566.67
95-th percentile753935
Maximum947066.67
Range722800
Interquartile range (IQR)120841.67

Descriptive statistics

Standard deviation112649.19
Coefficient of variation (CV)0.22318807
Kurtosis1.6923859
Mean504727.63
Median Absolute Deviation (MAD)56066.66
Skewness1.3482835
Sum5.0472763 × 109
Variance1.2689839 × 1010
MonotonicityNot monotonic
2024-05-04T07:03:37.611752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
418366.67 7
 
0.1%
426566.67 7
 
0.1%
433433.33 7
 
0.1%
442566.67 7
 
0.1%
494633.33 7
 
0.1%
424200.0 7
 
0.1%
419600.0 7
 
0.1%
435633.33 6
 
0.1%
432333.33 6
 
0.1%
435133.33 6
 
0.1%
Other values (6280) 9933
99.3%
ValueCountFrequency (%)
224266.67 1
< 0.1%
260166.67 1
< 0.1%
262933.33 1
< 0.1%
265233.33 1
< 0.1%
273533.33 1
< 0.1%
276633.33 1
< 0.1%
276833.33 1
< 0.1%
288566.67 1
< 0.1%
293600.0 1
< 0.1%
294066.67 1
< 0.1%
ValueCountFrequency (%)
947066.67 1
< 0.1%
945600.0 1
< 0.1%
944500.0 1
< 0.1%
942800.0 1
< 0.1%
942200.0 1
< 0.1%
941833.33 1
< 0.1%
938233.33 1
< 0.1%
937900.0 1
< 0.1%
937766.67 1
< 0.1%
937666.67 1
< 0.1%
Distinct7137
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean657306.23
Minimum321900
Maximum1076133.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:38.233341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum321900
5-th percentile483331.66
Q1548225
median635233.33
Q3730041.67
95-th percentile938781.67
Maximum1076133.3
Range754233.33
Interquartile range (IQR)181816.67

Descriptive statistics

Standard deviation137132.27
Coefficient of variation (CV)0.20862768
Kurtosis-0.020546038
Mean657306.23
Median Absolute Deviation (MAD)89766.67
Skewness0.76453584
Sum6.5730623 × 109
Variance1.880526 × 1010
MonotonicityNot monotonic
2024-05-04T07:03:38.822041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
528300.0 6
 
0.1%
621500.0 6
 
0.1%
688400.0 5
 
0.1%
637466.67 5
 
0.1%
570400.0 5
 
0.1%
533433.33 5
 
0.1%
523466.67 5
 
0.1%
533166.67 5
 
0.1%
629000.0 5
 
0.1%
647833.33 5
 
0.1%
Other values (7127) 9948
99.5%
ValueCountFrequency (%)
321900.0 1
< 0.1%
326433.33 1
< 0.1%
330600.0 1
< 0.1%
347466.67 1
< 0.1%
351533.33 1
< 0.1%
370966.67 1
< 0.1%
391633.33 1
< 0.1%
393266.67 1
< 0.1%
399100.0 1
< 0.1%
401000.0 1
< 0.1%
ValueCountFrequency (%)
1076133.33 1
< 0.1%
1069833.33 1
< 0.1%
1069433.33 1
< 0.1%
1064533.33 1
< 0.1%
1062966.67 1
< 0.1%
1061366.67 1
< 0.1%
1060133.33 1
< 0.1%
1058566.67 1
< 0.1%
1058533.33 1
< 0.1%
1057433.33 1
< 0.1%
Distinct7074
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean843936.22
Minimum405566.67
Maximum1142100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:39.407075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum405566.67
5-th percentile648798.33
Q1752200
median844133.33
Q3930033.33
95-th percentile1060600
Maximum1142100
Range736533.33
Interquartile range (IQR)177833.33

Descriptive statistics

Standard deviation123410.83
Coefficient of variation (CV)0.14623242
Kurtosis-0.53610845
Mean843936.22
Median Absolute Deviation (MAD)88966.665
Skewness0.077193759
Sum8.4393622 × 109
Variance1.5230234 × 1010
MonotonicityNot monotonic
2024-05-04T07:03:39.976199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
930433.33 6
 
0.1%
933866.67 6
 
0.1%
769533.33 5
 
0.1%
800600.0 5
 
0.1%
908600.0 5
 
0.1%
864000.0 5
 
0.1%
763666.67 5
 
0.1%
751066.67 5
 
0.1%
749133.33 5
 
0.1%
828233.33 5
 
0.1%
Other values (7064) 9948
99.5%
ValueCountFrequency (%)
405566.67 1
< 0.1%
414200.0 1
< 0.1%
451033.33 1
< 0.1%
464933.33 1
< 0.1%
473266.67 1
< 0.1%
474833.33 1
< 0.1%
475566.67 1
< 0.1%
500033.33 1
< 0.1%
504633.33 1
< 0.1%
510233.33 1
< 0.1%
ValueCountFrequency (%)
1142100.0 1
< 0.1%
1139800.0 1
< 0.1%
1138366.67 1
< 0.1%
1137400.0 1
< 0.1%
1134400.0 1
< 0.1%
1133900.0 1
< 0.1%
1132966.67 1
< 0.1%
1132433.33 1
< 0.1%
1132366.67 1
< 0.1%
1131600.0 1
< 0.1%
Distinct2082
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.053445
Minimum0
Maximum72.82
Zeros1326
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:40.636990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.23
median6.585
Q311.34
95-th percentile21.53
Maximum72.82
Range72.82
Interquartile range (IQR)8.11

Descriptive statistics

Standard deviation6.9797245
Coefficient of variation (CV)0.86667563
Kurtosis4.1994187
Mean8.053445
Median Absolute Deviation (MAD)4.065
Skewness1.5220195
Sum80534.45
Variance48.716554
MonotonicityNot monotonic
2024-05-04T07:03:41.138454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1326
 
13.3%
3.6 432
 
4.3%
1.8 407
 
4.1%
5.4 386
 
3.9%
7.2 299
 
3.0%
9.0 225
 
2.2%
10.8 161
 
1.6%
12.6 138
 
1.4%
14.4 83
 
0.8%
16.2 49
 
0.5%
Other values (2072) 6494
64.9%
ValueCountFrequency (%)
0.0 1326
13.3%
1.8 407
 
4.1%
1.81 6
 
0.1%
1.82 8
 
0.1%
1.83 6
 
0.1%
1.84 3
 
< 0.1%
1.85 5
 
0.1%
1.86 4
 
< 0.1%
1.87 4
 
< 0.1%
1.88 6
 
0.1%
ValueCountFrequency (%)
72.82 1
< 0.1%
60.57 1
< 0.1%
59.4 1
< 0.1%
58.0 1
< 0.1%
55.8 1
< 0.1%
52.24 1
< 0.1%
51.73 1
< 0.1%
50.52 1
< 0.1%
49.32 1
< 0.1%
48.98 1
< 0.1%
Distinct9991
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187504.94
Minimum61700
Maximum343000.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:41.676349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61700
5-th percentile141977.09
Q1163121.93
median181904.29
Q3205328.35
95-th percentile255474.41
Maximum343000.42
Range281300.42
Interquartile range (IQR)42206.427

Descriptive statistics

Standard deviation34239.969
Coefficient of variation (CV)0.18260836
Kurtosis0.76770505
Mean187504.94
Median Absolute Deviation (MAD)20297.835
Skewness0.85361346
Sum1.8750494 × 109
Variance1.1723755 × 109
MonotonicityNot monotonic
2024-05-04T07:03:42.224075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202783.33 2
 
< 0.1%
178362.56 2
 
< 0.1%
223642.17 2
 
< 0.1%
189966.11 2
 
< 0.1%
160249.21 2
 
< 0.1%
196693.21 2
 
< 0.1%
144376.32 2
 
< 0.1%
162025.81 2
 
< 0.1%
196153.2 2
 
< 0.1%
178626.53 1
 
< 0.1%
Other values (9981) 9981
99.8%
ValueCountFrequency (%)
61700.0 1
< 0.1%
91115.38 1
< 0.1%
96298.48 1
< 0.1%
99081.72 1
< 0.1%
100500.23 1
< 0.1%
104425.36 1
< 0.1%
105312.88 1
< 0.1%
107390.1 1
< 0.1%
109281.25 1
< 0.1%
110756.41 1
< 0.1%
ValueCountFrequency (%)
343000.42 1
< 0.1%
338725.43 1
< 0.1%
335819.32 1
< 0.1%
334648.8 1
< 0.1%
328141.31 1
< 0.1%
326642.93 1
< 0.1%
323988.03 1
< 0.1%
321177.51 1
< 0.1%
319992.63 1
< 0.1%
319512.33 1
< 0.1%
Distinct3518
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122357.53
Minimum7166.67
Maximum300233.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:42.664964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7166.67
5-th percentile80698.334
Q198966.67
median115600
Q3137866.67
95-th percentile192636.66
Maximum300233.33
Range293066.66
Interquartile range (IQR)38900

Descriptive statistics

Standard deviation34283.948
Coefficient of variation (CV)0.28019484
Kurtosis1.6874226
Mean122357.53
Median Absolute Deviation (MAD)18666.67
Skewness1.1036059
Sum1.2235753 × 109
Variance1.1753891 × 109
MonotonicityNot monotonic
2024-05-04T07:03:43.228547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101900.0 13
 
0.1%
110133.33 13
 
0.1%
105233.33 12
 
0.1%
112033.33 12
 
0.1%
101800.0 12
 
0.1%
96333.33 11
 
0.1%
94766.67 11
 
0.1%
113400.0 11
 
0.1%
101066.67 11
 
0.1%
115233.33 11
 
0.1%
Other values (3508) 9883
98.8%
ValueCountFrequency (%)
7166.67 1
< 0.1%
7700.0 1
< 0.1%
8766.67 1
< 0.1%
9466.67 1
< 0.1%
9966.67 1
< 0.1%
10500.0 1
< 0.1%
10600.0 1
< 0.1%
11600.0 1
< 0.1%
14433.33 1
< 0.1%
15666.67 1
< 0.1%
ValueCountFrequency (%)
300233.33 1
< 0.1%
288033.33 1
< 0.1%
279966.67 1
< 0.1%
277100.0 1
< 0.1%
276100.0 1
< 0.1%
274766.67 1
< 0.1%
271266.67 1
< 0.1%
269466.67 1
< 0.1%
268100.0 1
< 0.1%
265866.67 1
< 0.1%
Distinct3971
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180534.86
Minimum36266.67
Maximum356633.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:43.794114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36266.67
5-th percentile129100
Q1152391.67
median173533.33
Q3200400
95-th percentile260236.66
Maximum356633.33
Range320366.66
Interquartile range (IQR)48008.332

Descriptive statistics

Standard deviation39551.231
Coefficient of variation (CV)0.21907808
Kurtosis0.80149706
Mean180534.86
Median Absolute Deviation (MAD)23116.665
Skewness0.88006338
Sum1.8053486 × 109
Variance1.5642999 × 109
MonotonicityNot monotonic
2024-05-04T07:03:44.422704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179733.33 11
 
0.1%
160166.67 11
 
0.1%
174433.33 10
 
0.1%
183133.33 10
 
0.1%
151700.0 10
 
0.1%
190766.67 10
 
0.1%
167900.0 9
 
0.1%
155033.33 9
 
0.1%
159566.67 9
 
0.1%
163800.0 9
 
0.1%
Other values (3961) 9902
99.0%
ValueCountFrequency (%)
36266.67 1
< 0.1%
36766.67 1
< 0.1%
41900.0 1
< 0.1%
42200.0 1
< 0.1%
51800.0 1
< 0.1%
57166.67 1
< 0.1%
68700.0 1
< 0.1%
68833.33 1
< 0.1%
70333.33 1
< 0.1%
77433.33 1
< 0.1%
ValueCountFrequency (%)
356633.33 1
< 0.1%
353200.0 1
< 0.1%
351166.67 1
< 0.1%
348433.33 1
< 0.1%
343400.0 1
< 0.1%
342566.67 1
< 0.1%
338100.0 1
< 0.1%
337166.67 1
< 0.1%
336433.33 1
< 0.1%
332133.33 1
< 0.1%
Distinct4181
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245345.26
Minimum87133.33
Maximum433733.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:45.009902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87133.33
5-th percentile187733.33
Q1215925
median239166.67
Q3269175
95-th percentile323138.33
Maximum433733.33
Range346600
Interquartile range (IQR)53250.005

Descriptive statistics

Standard deviation41134.982
Coefficient of variation (CV)0.16766161
Kurtosis0.40086068
Mean245345.26
Median Absolute Deviation (MAD)25950
Skewness0.66092184
Sum2.4534526 × 109
Variance1.6920868 × 109
MonotonicityNot monotonic
2024-05-04T07:03:45.975759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236233.33 11
 
0.1%
205766.67 10
 
0.1%
230666.67 9
 
0.1%
247966.67 9
 
0.1%
218633.33 9
 
0.1%
247833.33 9
 
0.1%
233000.0 9
 
0.1%
245633.33 9
 
0.1%
203000.0 9
 
0.1%
230966.67 8
 
0.1%
Other values (4171) 9908
99.1%
ValueCountFrequency (%)
87133.33 1
< 0.1%
120533.33 1
< 0.1%
123033.33 1
< 0.1%
134800.0 1
< 0.1%
135500.0 1
< 0.1%
135966.67 1
< 0.1%
139433.33 1
< 0.1%
146866.67 1
< 0.1%
147233.33 1
< 0.1%
147466.67 1
< 0.1%
ValueCountFrequency (%)
433733.33 1
< 0.1%
425366.67 1
< 0.1%
420933.33 1
< 0.1%
415066.67 1
< 0.1%
412466.67 1
< 0.1%
411200.0 1
< 0.1%
407333.33 1
< 0.1%
402966.67 1
< 0.1%
399933.33 1
< 0.1%
396300.0 1
< 0.1%
Distinct5720
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.708475
Minimum0
Maximum813.84
Zeros69
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:46.598491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.069
Q134.91
median57.6
Q388.0675
95-th percentile174.6
Maximum813.84
Range813.84
Interquartile range (IQR)53.1575

Descriptive statistics

Standard deviation62.41971
Coefficient of variation (CV)0.8704649
Kurtosis16.487196
Mean71.708475
Median Absolute Deviation (MAD)25.2
Skewness3.2330442
Sum717084.75
Variance3896.2202
MonotonicityNot monotonic
2024-05-04T07:03:47.220491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
0.7%
45.0 63
 
0.6%
46.8 62
 
0.6%
66.6 57
 
0.6%
43.2 54
 
0.5%
57.6 53
 
0.5%
34.2 53
 
0.5%
61.2 51
 
0.5%
30.6 51
 
0.5%
50.4 51
 
0.5%
Other values (5710) 9436
94.4%
ValueCountFrequency (%)
0.0 69
0.7%
1.8 5
 
0.1%
2.26 1
 
< 0.1%
2.46 1
 
< 0.1%
2.52 1
 
< 0.1%
2.53 1
 
< 0.1%
2.55 1
 
< 0.1%
2.58 1
 
< 0.1%
2.66 1
 
< 0.1%
2.67 1
 
< 0.1%
ValueCountFrequency (%)
813.84 1
< 0.1%
611.5 1
< 0.1%
604.8 1
< 0.1%
587.23 1
< 0.1%
559.8 1
< 0.1%
553.54 1
< 0.1%
552.6 1
< 0.1%
549.0 1
< 0.1%
547.2 1
< 0.1%
534.74 1
< 0.1%
Distinct9419
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.72037
Minimum135.42
Maximum1651.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:47.865206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135.42
5-th percentile284.8495
Q1516.0775
median647.21
Q3876.3475
95-th percentile1130.0045
Maximum1651.85
Range1516.43
Interquartile range (IQR)360.27

Descriptive statistics

Standard deviation256.15778
Coefficient of variation (CV)0.37410568
Kurtosis-0.59554038
Mean684.72037
Median Absolute Deviation (MAD)171.215
Skewness0.25782732
Sum6847203.7
Variance65616.809
MonotonicityNot monotonic
2024-05-04T07:03:48.383890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
566.67 5
 
0.1%
483.33 4
 
< 0.1%
611.11 4
 
< 0.1%
586.98 4
 
< 0.1%
620.63 3
 
< 0.1%
583.21 3
 
< 0.1%
622.13 3
 
< 0.1%
660.95 3
 
< 0.1%
596.95 3
 
< 0.1%
400.0 3
 
< 0.1%
Other values (9409) 9965
99.7%
ValueCountFrequency (%)
135.42 1
< 0.1%
147.62 1
< 0.1%
148.68 1
< 0.1%
152.05 1
< 0.1%
155.79 1
< 0.1%
157.58 1
< 0.1%
161.9 1
< 0.1%
167.15 1
< 0.1%
168.23 1
< 0.1%
168.63 1
< 0.1%
ValueCountFrequency (%)
1651.85 1
< 0.1%
1500.0 1
< 0.1%
1462.5 1
< 0.1%
1456.53 1
< 0.1%
1401.34 1
< 0.1%
1398.5 1
< 0.1%
1396.64 1
< 0.1%
1384.31 1
< 0.1%
1380.85 1
< 0.1%
1380.58 1
< 0.1%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.34676
Minimum33.33
Maximum1433.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:48.779911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1133.33
median233.33
Q3333.33
95-th percentile466.67
Maximum1433.33
Range1400
Interquartile range (IQR)200

Descriptive statistics

Standard deviation125.12396
Coefficient of variation (CV)0.51207539
Kurtosis0.74497652
Mean244.34676
Median Absolute Deviation (MAD)100
Skewness0.59785474
Sum2443467.6
Variance15656.006
MonotonicityNot monotonic
2024-05-04T07:03:49.323178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
166.67 1054
10.5%
200.0 1009
10.1%
133.33 908
9.1%
233.33 864
8.6%
300.0 852
8.5%
266.67 849
8.5%
333.33 805
8.1%
66.67 730
7.3%
100.0 705
7.0%
366.67 616
 
6.2%
Other values (16) 1608
16.1%
ValueCountFrequency (%)
33.33 210
 
2.1%
66.67 730
7.3%
100.0 705
7.0%
133.33 908
9.1%
166.67 1054
10.5%
200.0 1009
10.1%
233.33 864
8.6%
266.67 849
8.5%
300.0 852
8.5%
333.33 805
8.1%
ValueCountFrequency (%)
1433.33 1
 
< 0.1%
900.0 1
 
< 0.1%
800.0 2
 
< 0.1%
766.67 1
 
< 0.1%
733.33 2
 
< 0.1%
700.0 10
 
0.1%
666.67 9
 
0.1%
633.33 21
0.2%
600.0 36
0.4%
566.67 47
0.5%
Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.09667
Minimum66.67
Maximum1666.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:49.922143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.67
5-th percentile166.67
Q1366.67
median500
Q3666.67
95-th percentile933.33
Maximum1666.67
Range1600
Interquartile range (IQR)300

Descriptive statistics

Standard deviation232.11861
Coefficient of variation (CV)0.44715874
Kurtosis-0.425944
Mean519.09667
Median Absolute Deviation (MAD)166.67
Skewness0.28645001
Sum5190966.7
Variance53879.051
MonotonicityNot monotonic
2024-05-04T07:03:50.521873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
400.0 617
 
6.2%
433.33 583
 
5.8%
466.67 540
 
5.4%
366.67 529
 
5.3%
500.0 526
 
5.3%
566.67 524
 
5.2%
533.33 522
 
5.2%
600.0 466
 
4.7%
333.33 451
 
4.5%
633.33 421
 
4.2%
Other values (29) 4821
48.2%
ValueCountFrequency (%)
66.67 12
 
0.1%
100.0 265
2.6%
133.33 208
 
2.1%
166.67 300
3.0%
200.0 264
2.6%
233.33 300
3.0%
266.67 292
2.9%
300.0 342
3.4%
333.33 451
4.5%
366.67 529
5.3%
ValueCountFrequency (%)
1666.67 1
 
< 0.1%
1433.33 1
 
< 0.1%
1300.0 1
 
< 0.1%
1233.33 4
 
< 0.1%
1200.0 6
 
0.1%
1166.67 10
 
0.1%
1133.33 21
 
0.2%
1100.0 27
0.3%
1066.67 40
0.4%
1033.33 65
0.7%
Distinct59
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean940.46332
Minimum133.33
Maximum2266.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:51.173471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133.33
5-th percentile366.67
Q1700
median866.67
Q31200
95-th percentile1600
Maximum2266.67
Range2133.34
Interquartile range (IQR)500

Descriptive statistics

Standard deviation374.37145
Coefficient of variation (CV)0.39807129
Kurtosis-0.52729455
Mean940.46332
Median Absolute Deviation (MAD)233.34
Skewness0.29800932
Sum9404633.2
Variance140153.98
MonotonicityNot monotonic
2024-05-04T07:03:51.689618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
766.67 510
 
5.1%
833.33 479
 
4.8%
800.0 471
 
4.7%
866.67 449
 
4.5%
733.33 413
 
4.1%
933.33 373
 
3.7%
900.0 365
 
3.6%
700.0 332
 
3.3%
966.67 322
 
3.2%
1000.0 273
 
2.7%
Other values (49) 6013
60.1%
ValueCountFrequency (%)
133.33 1
 
< 0.1%
166.67 5
 
0.1%
200.0 60
 
0.6%
233.33 121
1.2%
266.67 115
1.1%
300.0 79
0.8%
333.33 115
1.1%
366.67 135
1.4%
400.0 169
1.7%
433.33 165
1.7%
ValueCountFrequency (%)
2266.67 1
 
< 0.1%
2066.67 2
 
< 0.1%
2000.0 4
 
< 0.1%
1966.67 1
 
< 0.1%
1933.33 5
 
0.1%
1900.0 9
 
0.1%
1866.67 13
 
0.1%
1833.33 19
0.2%
1800.0 26
0.3%
1766.67 35
0.4%
Distinct6525
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.62125
Minimum0
Maximum1067.59
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:52.228312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.229
Q168.285
median105.73
Q3157.525
95-th percentile293.7975
Maximum1067.59
Range1067.59
Interquartile range (IQR)89.24

Descriptive statistics

Standard deviation96.721863
Coefficient of variation (CV)0.75788214
Kurtosis12.044954
Mean127.62125
Median Absolute Deviation (MAD)42.885
Skewness2.7534283
Sum1276212.5
Variance9355.1188
MonotonicityNot monotonic
2024-05-04T07:03:52.678038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.6 35
 
0.4%
75.6 33
 
0.3%
70.2 33
 
0.3%
72.0 32
 
0.3%
91.8 32
 
0.3%
97.2 31
 
0.3%
82.8 30
 
0.3%
88.2 29
 
0.3%
117.0 29
 
0.3%
99.0 29
 
0.3%
Other values (6515) 9687
96.9%
ValueCountFrequency (%)
0.0 24
0.2%
1.8 1
 
< 0.1%
1.83 1
 
< 0.1%
3.37 1
 
< 0.1%
3.6 1
 
< 0.1%
3.9 1
 
< 0.1%
4.14 1
 
< 0.1%
4.52 1
 
< 0.1%
4.65 1
 
< 0.1%
5.73 1
 
< 0.1%
ValueCountFrequency (%)
1067.59 1
< 0.1%
907.2 1
< 0.1%
884.67 1
< 0.1%
880.2 1
< 0.1%
865.96 1
< 0.1%
855.0 1
< 0.1%
822.6 1
< 0.1%
802.94 1
< 0.1%
802.11 1
< 0.1%
799.43 1
< 0.1%
Distinct8366
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.07024
Minimum58.33
Maximum1016.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:53.107160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.33
5-th percentile166.878
Q1284.4275
median340.03
Q3397.675
95-th percentile454.36
Maximum1016.67
Range958.34
Interquartile range (IQR)113.2475

Descriptive statistics

Standard deviation85.616085
Coefficient of variation (CV)0.25705114
Kurtosis0.12669068
Mean333.07024
Median Absolute Deviation (MAD)56.76
Skewness-0.41393487
Sum3330702.4
Variance7330.1139
MonotonicityNot monotonic
2024-05-04T07:03:53.548290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300.0 14
 
0.1%
366.67 8
 
0.1%
333.33 8
 
0.1%
388.89 6
 
0.1%
200.0 5
 
0.1%
400.0 5
 
0.1%
433.33 5
 
0.1%
288.89 5
 
0.1%
350.0 5
 
0.1%
266.67 5
 
0.1%
Other values (8356) 9934
99.3%
ValueCountFrequency (%)
58.33 1
< 0.1%
84.06 1
< 0.1%
99.76 1
< 0.1%
104.49 1
< 0.1%
107.79 1
< 0.1%
108.89 1
< 0.1%
109.03 1
< 0.1%
109.65 1
< 0.1%
110.19 1
< 0.1%
112.7 1
< 0.1%
ValueCountFrequency (%)
1016.67 1
< 0.1%
591.67 1
< 0.1%
568.33 1
< 0.1%
564.28 1
< 0.1%
559.52 1
< 0.1%
558.02 1
< 0.1%
555.44 1
< 0.1%
554.55 1
< 0.1%
545.1 1
< 0.1%
544.71 1
< 0.1%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.45992
Minimum33.33
Maximum766.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:54.079646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile33.33
Q1100
median133.33
Q3166.67
95-th percentile200
Maximum766.67
Range733.34
Interquartile range (IQR)66.67

Descriptive statistics

Standard deviation45.983741
Coefficient of variation (CV)0.38173477
Kurtosis3.5537514
Mean120.45992
Median Absolute Deviation (MAD)33.33
Skewness0.3289373
Sum1204599.2
Variance2114.5044
MonotonicityNot monotonic
2024-05-04T07:03:54.426178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
133.33 2717
27.2%
100.0 2544
25.4%
166.67 1868
18.7%
66.67 1413
14.1%
33.33 689
 
6.9%
200.0 634
 
6.3%
233.33 122
 
1.2%
266.67 10
 
0.1%
766.67 1
 
< 0.1%
333.33 1
 
< 0.1%
ValueCountFrequency (%)
33.33 689
 
6.9%
66.67 1413
14.1%
100.0 2544
25.4%
133.33 2717
27.2%
166.67 1868
18.7%
200.0 634
 
6.3%
233.33 122
 
1.2%
266.67 10
 
0.1%
333.33 1
 
< 0.1%
400.0 1
 
< 0.1%
ValueCountFrequency (%)
766.67 1
 
< 0.1%
400.0 1
 
< 0.1%
333.33 1
 
< 0.1%
266.67 10
 
0.1%
233.33 122
 
1.2%
200.0 634
 
6.3%
166.67 1868
18.7%
133.33 2717
27.2%
100.0 2544
25.4%
66.67 1413
14.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.71987
Minimum33.33
Maximum766.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:54.943397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile100
Q1200
median266.67
Q3300
95-th percentile366.67
Maximum766.67
Range733.34
Interquartile range (IQR)100

Descriptive statistics

Standard deviation82.075305
Coefficient of variation (CV)0.32735859
Kurtosis-0.28390926
Mean250.71987
Median Absolute Deviation (MAD)66.66
Skewness-0.26044333
Sum2507198.7
Variance6736.3558
MonotonicityNot monotonic
2024-05-04T07:03:55.504927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
233.33 1563
15.6%
300.0 1523
15.2%
266.67 1465
14.6%
333.33 1314
13.1%
200.0 1135
11.3%
166.67 683
6.8%
366.67 667
6.7%
100.0 554
 
5.5%
133.33 522
 
5.2%
66.67 260
 
2.6%
Other values (7) 314
 
3.1%
ValueCountFrequency (%)
33.33 1
 
< 0.1%
66.67 260
 
2.6%
100.0 554
 
5.5%
133.33 522
 
5.2%
166.67 683
6.8%
200.0 1135
11.3%
233.33 1563
15.6%
266.67 1465
14.6%
300.0 1523
15.2%
333.33 1314
13.1%
ValueCountFrequency (%)
766.67 1
 
< 0.1%
566.67 2
 
< 0.1%
500.0 2
 
< 0.1%
466.67 13
 
0.1%
433.33 66
 
0.7%
400.0 229
 
2.3%
366.67 667
6.7%
333.33 1314
13.1%
300.0 1523
15.2%
266.67 1465
14.6%
Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.5833
Minimum33.33
Maximum1266.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:56.340510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile200
Q1400
median466.67
Q3566.67
95-th percentile633.33
Maximum1266.67
Range1233.34
Interquartile range (IQR)166.67

Descriptive statistics

Standard deviation127.54651
Coefficient of variation (CV)0.27873944
Kurtosis-0.049827016
Mean457.5833
Median Absolute Deviation (MAD)66.67
Skewness-0.42392706
Sum4575833
Variance16268.113
MonotonicityNot monotonic
2024-05-04T07:03:56.883839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
533.33 1101
11.0%
433.33 1081
10.8%
466.67 1005
10.1%
400.0 978
9.8%
566.67 954
9.5%
500.0 899
9.0%
600.0 767
7.7%
366.67 563
 
5.6%
633.33 424
 
4.2%
333.33 394
 
3.9%
Other values (17) 1834
18.3%
ValueCountFrequency (%)
33.33 1
 
< 0.1%
100.0 3
 
< 0.1%
133.33 65
 
0.7%
166.67 252
2.5%
200.0 239
2.4%
233.33 322
3.2%
266.67 295
2.9%
300.0 262
2.6%
333.33 394
3.9%
366.67 563
5.6%
ValueCountFrequency (%)
1266.67 1
 
< 0.1%
966.67 1
 
< 0.1%
866.67 1
 
< 0.1%
833.33 3
 
< 0.1%
800.0 5
 
0.1%
766.67 11
 
0.1%
733.33 28
 
0.3%
700.0 109
 
1.1%
666.67 236
2.4%
633.33 424
4.2%
Distinct6374
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.53285
Minimum0
Maximum1056.6
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:57.460352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.6
Q154
median87.89
Q3137.6725
95-th percentile287.7335
Maximum1056.6
Range1056.6
Interquartile range (IQR)83.6725

Descriptive statistics

Standard deviation96.845713
Coefficient of variation (CV)0.8605995
Kurtosis13.280843
Mean112.53285
Median Absolute Deviation (MAD)39.29
Skewness2.9142075
Sum1125328.5
Variance9379.0921
MonotonicityNot monotonic
2024-05-04T07:03:57.836844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.0 43
 
0.4%
64.8 41
 
0.4%
70.2 39
 
0.4%
52.2 38
 
0.4%
66.6 37
 
0.4%
55.8 36
 
0.4%
73.8 35
 
0.4%
50.4 33
 
0.3%
0.0 32
 
0.3%
108.0 31
 
0.3%
Other values (6364) 9635
96.4%
ValueCountFrequency (%)
0.0 32
0.3%
1.8 1
 
< 0.1%
2.67 1
 
< 0.1%
2.86 1
 
< 0.1%
3.32 1
 
< 0.1%
3.37 1
 
< 0.1%
3.67 1
 
< 0.1%
3.85 1
 
< 0.1%
3.9 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
1056.6 1
< 0.1%
1010.44 1
< 0.1%
975.6 1
< 0.1%
931.91 1
< 0.1%
912.24 1
< 0.1%
903.6 1
< 0.1%
849.6 1
< 0.1%
838.8 1
< 0.1%
819.0 1
< 0.1%
808.24 1
< 0.1%
Distinct1022
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.923622
Minimum3.4
Maximum16.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:58.342307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile5.9695
Q18.33
median10.09
Q311.67
95-th percentile13.27
Maximum16.11
Range12.71
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation2.2302097
Coefficient of variation (CV)0.22473747
Kurtosis-0.63800264
Mean9.923622
Median Absolute Deviation (MAD)1.65
Skewness-0.25799427
Sum99236.22
Variance4.9738355
MonotonicityNot monotonic
2024-05-04T07:03:58.958483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.67 33
 
0.3%
12.09 29
 
0.3%
10.83 25
 
0.2%
10.45 24
 
0.2%
11.03 24
 
0.2%
12.2 24
 
0.2%
9.91 24
 
0.2%
11.9 24
 
0.2%
10.95 23
 
0.2%
11.58 23
 
0.2%
Other values (1012) 9747
97.5%
ValueCountFrequency (%)
3.4 1
< 0.1%
3.73 1
< 0.1%
3.85 1
< 0.1%
3.9 1
< 0.1%
3.93 1
< 0.1%
3.99 1
< 0.1%
4.04 2
< 0.1%
4.14 1
< 0.1%
4.22 2
< 0.1%
4.24 2
< 0.1%
ValueCountFrequency (%)
16.11 1
< 0.1%
16.07 1
< 0.1%
15.16 1
< 0.1%
15.12 1
< 0.1%
14.99 1
< 0.1%
14.98 1
< 0.1%
14.93 1
< 0.1%
14.91 1
< 0.1%
14.87 1
< 0.1%
14.84 1
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.531126
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:03:59.467486image/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 deviation2.6211214
Coefficient of variation (CV)0.47388569
Kurtosis-0.20194202
Mean5.531126
Median Absolute Deviation (MAD)1.67
Skewness0.59840717
Sum55311.26
Variance6.8702776
MonotonicityNot monotonic
2024-05-04T07:03:59.862238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3.33 2532
25.3%
5.0 2460
24.6%
6.67 1796
18.0%
8.33 1149
11.5%
1.67 1002
 
10.0%
10.0 678
 
6.8%
11.67 321
 
3.2%
13.33 60
 
0.6%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
1.67 1002
 
10.0%
3.33 2532
25.3%
5.0 2460
24.6%
6.67 1796
18.0%
8.33 1149
11.5%
10.0 678
 
6.8%
11.67 321
 
3.2%
13.33 60
 
0.6%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
15.0 2
 
< 0.1%
13.33 60
 
0.6%
11.67 321
 
3.2%
10.0 678
 
6.8%
8.33 1149
11.5%
6.67 1796
18.0%
5.0 2460
24.6%
3.33 2532
25.3%
1.67 1002
 
10.0%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.94846
Minimum1.67
Maximum16.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:00.313748image/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 deviation3.4681866
Coefficient of variation (CV)0.34861542
Kurtosis-1.0680658
Mean9.94846
Median Absolute Deviation (MAD)3.33
Skewness-0.19155616
Sum99484.6
Variance12.028318
MonotonicityNot monotonic
2024-05-04T07:04:00.723811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13.33 1895
18.9%
8.33 1419
14.2%
10.0 1375
13.8%
11.67 1371
13.7%
6.67 1238
12.4%
15.0 1116
11.2%
5.0 1069
10.7%
3.33 466
 
4.7%
16.67 45
 
0.4%
1.67 6
 
0.1%
ValueCountFrequency (%)
1.67 6
 
0.1%
3.33 466
 
4.7%
5.0 1069
10.7%
6.67 1238
12.4%
8.33 1419
14.2%
10.0 1375
13.8%
11.67 1371
13.7%
13.33 1895
18.9%
15.0 1116
11.2%
16.67 45
 
0.4%
ValueCountFrequency (%)
16.67 45
 
0.4%
15.0 1116
11.2%
13.33 1895
18.9%
11.67 1371
13.7%
10.0 1375
13.8%
8.33 1419
14.2%
6.67 1238
12.4%
5.0 1069
10.7%
3.33 466
 
4.7%
1.67 6
 
0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.14469
Minimum3.33
Maximum18.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:01.246117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q113.33
median15
Q316.67
95-th percentile16.67
Maximum18.33
Range15
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation2.7145949
Coefficient of variation (CV)0.19191618
Kurtosis0.73878106
Mean14.14469
Median Absolute Deviation (MAD)1.67
Skewness-1.1241473
Sum141446.9
Variance7.3690254
MonotonicityNot monotonic
2024-05-04T07:04:01.754587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
16.67 3033
30.3%
15.0 3015
30.1%
13.33 1572
15.7%
11.67 894
 
8.9%
10.0 641
 
6.4%
8.33 394
 
3.9%
6.67 255
 
2.5%
18.33 143
 
1.4%
5.0 50
 
0.5%
3.33 3
 
< 0.1%
ValueCountFrequency (%)
3.33 3
 
< 0.1%
5.0 50
 
0.5%
6.67 255
 
2.5%
8.33 394
 
3.9%
10.0 641
 
6.4%
11.67 894
 
8.9%
13.33 1572
15.7%
15.0 3015
30.1%
16.67 3033
30.3%
18.33 143
 
1.4%
ValueCountFrequency (%)
18.33 143
 
1.4%
16.67 3033
30.3%
15.0 3015
30.1%
13.33 1572
15.7%
11.67 894
 
8.9%
10.0 641
 
6.4%
8.33 394
 
3.9%
6.67 255
 
2.5%
5.0 50
 
0.5%
3.33 3
 
< 0.1%
Distinct4821
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.003162
Minimum0
Maximum446.4
Zeros138
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:02.380719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.71
Q119.8
median33.18
Q350.4625
95-th percentile113.033
Maximum446.4
Range446.4
Interquartile range (IQR)30.6625

Descriptive statistics

Standard deviation42.533082
Coefficient of variation (CV)0.98906871
Kurtosis18.791839
Mean43.003162
Median Absolute Deviation (MAD)14.99
Skewness3.6332523
Sum430031.62
Variance1809.0631
MonotonicityNot monotonic
2024-05-04T07:04:02.824243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 138
 
1.4%
27.0 97
 
1.0%
28.8 90
 
0.9%
23.4 90
 
0.9%
32.4 89
 
0.9%
18.0 88
 
0.9%
25.2 87
 
0.9%
21.6 86
 
0.9%
19.8 85
 
0.9%
36.0 83
 
0.8%
Other values (4811) 9067
90.7%
ValueCountFrequency (%)
0.0 138
1.4%
1.8 8
 
0.1%
1.92 1
 
< 0.1%
2.04 1
 
< 0.1%
2.07 1
 
< 0.1%
2.12 1
 
< 0.1%
2.19 1
 
< 0.1%
2.21 1
 
< 0.1%
2.25 1
 
< 0.1%
2.32 1
 
< 0.1%
ValueCountFrequency (%)
446.4 1
< 0.1%
445.78 1
< 0.1%
433.23 1
< 0.1%
399.97 1
< 0.1%
399.6 1
< 0.1%
396.0 1
< 0.1%
394.2 1
< 0.1%
392.4 1
< 0.1%
390.56 1
< 0.1%
387.0 1
< 0.1%
Distinct3893
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.365069
Minimum17.78
Maximum103.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:03.307786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.78
5-th percentile29.04
Q135.46
median40.29
Q355.8825
95-th percentile71.48
Maximum103.61
Range85.83
Interquartile range (IQR)20.4225

Descriptive statistics

Standard deviation13.720949
Coefficient of variation (CV)0.30245625
Kurtosis-0.54679726
Mean45.365069
Median Absolute Deviation (MAD)6.47
Skewness0.80741425
Sum453650.69
Variance188.26443
MonotonicityNot monotonic
2024-05-04T07:04:03.838274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.48 15
 
0.1%
34.95 12
 
0.1%
38.53 12
 
0.1%
39.11 12
 
0.1%
38.62 12
 
0.1%
34.88 12
 
0.1%
37.28 12
 
0.1%
37.7 11
 
0.1%
38.54 11
 
0.1%
38.64 11
 
0.1%
Other values (3883) 9880
98.8%
ValueCountFrequency (%)
17.78 1
< 0.1%
19.52 1
< 0.1%
19.63 1
< 0.1%
21.54 1
< 0.1%
22.83 1
< 0.1%
23.18 1
< 0.1%
23.61 1
< 0.1%
23.91 1
< 0.1%
23.92 1
< 0.1%
24.37 1
< 0.1%
ValueCountFrequency (%)
103.61 1
< 0.1%
97.32 1
< 0.1%
96.55 1
< 0.1%
94.94 1
< 0.1%
92.59 1
< 0.1%
91.5 1
< 0.1%
87.26 1
< 0.1%
82.78 1
< 0.1%
82.43 1
< 0.1%
82.28 1
< 0.1%
Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.705699
Minimum6.67
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:04.205593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile16.67
Q121.67
median26.67
Q331.67
95-th percentile36.67
Maximum65
Range58.33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.384344
Coefficient of variation (CV)0.23906298
Kurtosis-0.61380244
Mean26.705699
Median Absolute Deviation (MAD)5
Skewness-0.093467862
Sum267056.99
Variance40.759849
MonotonicityNot monotonic
2024-05-04T07:04:04.852383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
25.0 995
10.0%
26.67 936
9.4%
31.67 929
9.3%
33.33 872
8.7%
30.0 789
 
7.9%
28.33 733
 
7.3%
20.0 723
 
7.2%
23.33 703
 
7.0%
35.0 644
 
6.4%
18.33 625
 
6.2%
Other values (18) 2051
20.5%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
8.33 3
 
< 0.1%
10.0 4
 
< 0.1%
11.67 40
 
0.4%
13.33 129
 
1.3%
15.0 246
 
2.5%
16.67 406
4.1%
18.33 625
6.2%
20.0 723
7.2%
21.67 584
5.8%
ValueCountFrequency (%)
65.0 1
 
< 0.1%
53.33 1
 
< 0.1%
50.0 1
 
< 0.1%
48.33 1
 
< 0.1%
45.0 4
 
< 0.1%
43.33 8
 
0.1%
41.67 19
 
0.2%
40.0 54
 
0.5%
38.33 146
 
1.5%
36.67 403
4.0%
Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.758942
Minimum11.67
Maximum131.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:05.252237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.67
5-th percentile28.33
Q131.67
median35
Q345
95-th percentile60
Maximum131.67
Range120
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation10.312641
Coefficient of variation (CV)0.26607128
Kurtosis1.9817548
Mean38.758942
Median Absolute Deviation (MAD)5
Skewness1.2751959
Sum387589.42
Variance106.35057
MonotonicityNot monotonic
2024-05-04T07:04:05.681563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
33.33 1384
13.8%
31.67 1182
11.8%
35.0 984
 
9.8%
30.0 953
 
9.5%
36.67 783
 
7.8%
28.33 606
 
6.1%
38.33 488
 
4.9%
40.0 319
 
3.2%
51.67 275
 
2.8%
55.0 260
 
2.6%
Other values (36) 2766
27.7%
ValueCountFrequency (%)
11.67 1
 
< 0.1%
13.33 1
 
< 0.1%
18.33 1
 
< 0.1%
20.0 3
 
< 0.1%
21.67 5
 
0.1%
23.33 24
 
0.2%
25.0 106
 
1.1%
26.67 253
 
2.5%
28.33 606
6.1%
30.0 953
9.5%
ValueCountFrequency (%)
131.67 1
 
< 0.1%
130.0 1
 
< 0.1%
110.0 1
 
< 0.1%
101.67 1
 
< 0.1%
100.0 1
 
< 0.1%
93.33 1
 
< 0.1%
86.67 1
 
< 0.1%
78.33 1
 
< 0.1%
76.67 3
< 0.1%
75.0 5
0.1%
Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.249508
Minimum21.67
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:06.127677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.67
5-th percentile35
Q140
median46.67
Q370
95-th percentile110
Maximum140
Range118.33
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.083212
Coefficient of variation (CV)0.43061672
Kurtosis0.23011834
Mean58.249508
Median Absolute Deviation (MAD)8.34
Skewness1.2168442
Sum582495.08
Variance629.16752
MonotonicityNot monotonic
2024-05-04T07:04:06.661464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 792
 
7.9%
41.67 787
 
7.9%
43.33 714
 
7.1%
38.33 620
 
6.2%
36.67 605
 
6.0%
45.0 578
 
5.8%
46.67 498
 
5.0%
48.33 396
 
4.0%
50.0 356
 
3.6%
51.67 315
 
3.1%
Other values (60) 4339
43.4%
ValueCountFrequency (%)
21.67 1
 
< 0.1%
26.67 2
 
< 0.1%
28.33 1
 
< 0.1%
30.0 1
 
< 0.1%
31.67 49
 
0.5%
33.33 292
 
2.9%
35.0 235
 
2.4%
36.67 605
6.0%
38.33 620
6.2%
40.0 792
7.9%
ValueCountFrequency (%)
140.0 13
0.1%
138.33 6
 
0.1%
136.67 5
 
0.1%
135.0 4
 
< 0.1%
133.33 8
 
0.1%
131.67 10
0.1%
130.0 11
0.1%
128.33 9
 
0.1%
126.67 24
0.2%
125.0 20
0.2%
Distinct6186
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.97421
Minimum0
Maximum1266.48
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:07.092082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.19
Q136
median69.455
Q3116.28
95-th percentile322.2
Maximum1266.48
Range1266.48
Interquartile range (IQR)80.28

Descriptive statistics

Standard deviation119.47313
Coefficient of variation (CV)1.1832044
Kurtosis16.558187
Mean100.97421
Median Absolute Deviation (MAD)37.995
Skewness3.521425
Sum1009742.1
Variance14273.83
MonotonicityNot monotonic
2024-05-04T07:04:07.564184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 89
 
0.9%
82.8 32
 
0.3%
41.4 31
 
0.3%
70.2 29
 
0.3%
68.4 29
 
0.3%
91.8 29
 
0.3%
46.8 29
 
0.3%
84.6 29
 
0.3%
72.0 29
 
0.3%
59.4 28
 
0.3%
Other values (6176) 9646
96.5%
ValueCountFrequency (%)
0.0 89
0.9%
1.8 7
 
0.1%
1.95 1
 
< 0.1%
2.21 1
 
< 0.1%
2.25 1
 
< 0.1%
2.33 1
 
< 0.1%
2.34 1
 
< 0.1%
2.39 1
 
< 0.1%
2.52 2
 
< 0.1%
2.58 1
 
< 0.1%
ValueCountFrequency (%)
1266.48 1
< 0.1%
1166.4 1
< 0.1%
1142.05 1
< 0.1%
1030.03 1
< 0.1%
1024.2 1
< 0.1%
1022.4 1
< 0.1%
1020.6 1
< 0.1%
1006.2 1
< 0.1%
998.78 1
< 0.1%
989.27 1
< 0.1%
Distinct7325
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.37067
Minimum9.78
Maximum262.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:07.989422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.78
5-th percentile24.0995
Q158.8975
median110.84
Q3144.66
95-th percentile169.0415
Maximum262.5
Range252.72
Interquartile range (IQR)85.7625

Descriptive statistics

Standard deviation48.197402
Coefficient of variation (CV)0.46625799
Kurtosis-1.2050187
Mean103.37067
Median Absolute Deviation (MAD)39.46
Skewness-0.28039511
Sum1033706.7
Variance2322.9896
MonotonicityNot monotonic
2024-05-04T07:04:08.474087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138.1 6
 
0.1%
144.26 6
 
0.1%
19.43 6
 
0.1%
143.79 6
 
0.1%
132.98 6
 
0.1%
27.9 5
 
0.1%
135.03 5
 
0.1%
145.27 5
 
0.1%
148.33 5
 
0.1%
154.61 5
 
0.1%
Other values (7315) 9945
99.5%
ValueCountFrequency (%)
9.78 1
< 0.1%
10.79 1
< 0.1%
11.04 1
< 0.1%
11.15 1
< 0.1%
13.07 1
< 0.1%
13.88 1
< 0.1%
14.26 1
< 0.1%
14.35 1
< 0.1%
14.62 1
< 0.1%
14.63 1
< 0.1%
ValueCountFrequency (%)
262.5 1
< 0.1%
204.71 1
< 0.1%
198.56 1
< 0.1%
197.37 1
< 0.1%
196.69 1
< 0.1%
195.73 1
< 0.1%
194.76 1
< 0.1%
192.6 1
< 0.1%
192.34 1
< 0.1%
191.69 1
< 0.1%
Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.208385
Minimum1.67
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:08.900888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q111.67
median45
Q368.33
95-th percentile91.67
Maximum220
Range218.33
Interquartile range (IQR)56.66

Descriptive statistics

Standard deviation30.184374
Coefficient of variation (CV)0.69857678
Kurtosis-1.118986
Mean43.208385
Median Absolute Deviation (MAD)28.33
Skewness0.17928188
Sum432083.85
Variance911.09646
MonotonicityNot monotonic
2024-05-04T07:04:09.346337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.33 692
 
6.9%
5.0 455
 
4.5%
8.33 335
 
3.4%
6.67 316
 
3.2%
10.0 256
 
2.6%
1.67 250
 
2.5%
11.67 206
 
2.1%
70.0 204
 
2.0%
63.33 202
 
2.0%
13.33 191
 
1.9%
Other values (66) 6893
68.9%
ValueCountFrequency (%)
1.67 250
 
2.5%
3.33 692
6.9%
5.0 455
4.5%
6.67 316
3.2%
8.33 335
3.4%
10.0 256
 
2.6%
11.67 206
 
2.1%
13.33 191
 
1.9%
15.0 150
 
1.5%
16.67 173
 
1.7%
ValueCountFrequency (%)
220.0 1
 
< 0.1%
130.0 1
 
< 0.1%
126.67 1
 
< 0.1%
121.67 2
 
< 0.1%
120.0 2
 
< 0.1%
118.33 3
 
< 0.1%
116.67 1
 
< 0.1%
115.0 4
< 0.1%
113.33 3
 
< 0.1%
111.67 8
0.1%
Distinct120
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.023482
Minimum3.33
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:09.766324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile10
Q136.67
median90
Q3128.33
95-th percentile161.67
Maximum220
Range216.67
Interquartile range (IQR)91.66

Descriptive statistics

Standard deviation50.558761
Coefficient of variation (CV)0.58773209
Kurtosis-1.2447672
Mean86.023482
Median Absolute Deviation (MAD)45
Skewness-0.064214339
Sum860234.82
Variance2556.1883
MonotonicityNot monotonic
2024-05-04T07:04:10.199761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 229
 
2.3%
10.0 182
 
1.8%
11.67 180
 
1.8%
6.67 171
 
1.7%
26.67 155
 
1.6%
133.33 147
 
1.5%
13.33 146
 
1.5%
125.0 143
 
1.4%
126.67 143
 
1.4%
123.33 141
 
1.4%
Other values (110) 8363
83.6%
ValueCountFrequency (%)
3.33 6
 
0.1%
5.0 53
 
0.5%
6.67 171
1.7%
8.33 229
2.3%
10.0 182
1.8%
11.67 180
1.8%
13.33 146
1.5%
15.0 138
1.4%
16.67 138
1.4%
18.33 126
1.3%
ValueCountFrequency (%)
220.0 1
 
< 0.1%
216.67 1
 
< 0.1%
208.33 1
 
< 0.1%
200.0 1
 
< 0.1%
195.0 2
 
< 0.1%
193.33 3
< 0.1%
191.67 4
< 0.1%
190.0 3
< 0.1%
188.33 5
0.1%
186.67 3
< 0.1%
Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.68416
Minimum8.33
Maximum321.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:10.719444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.33
5-th percentile28.33
Q180
median156.67
Q3211.67
95-th percentile255
Maximum321.67
Range313.34
Interquartile range (IQR)131.67

Descriptive statistics

Standard deviation74.282894
Coefficient of variation (CV)0.49960194
Kurtosis-1.1858074
Mean148.68416
Median Absolute Deviation (MAD)61.67
Skewness-0.19022754
Sum1486841.6
Variance5517.9484
MonotonicityNot monotonic
2024-05-04T07:04:11.173933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195.0 115
 
1.1%
201.67 111
 
1.1%
205.0 105
 
1.1%
213.33 104
 
1.0%
200.0 103
 
1.0%
220.0 103
 
1.0%
36.67 102
 
1.0%
208.33 102
 
1.0%
203.33 99
 
1.0%
25.0 99
 
1.0%
Other values (170) 8957
89.6%
ValueCountFrequency (%)
8.33 1
 
< 0.1%
13.33 3
 
< 0.1%
15.0 7
 
0.1%
16.67 17
 
0.2%
18.33 44
0.4%
20.0 58
0.6%
21.67 70
0.7%
23.33 77
0.8%
25.0 99
1.0%
26.67 68
0.7%
ValueCountFrequency (%)
321.67 2
< 0.1%
315.0 1
 
< 0.1%
311.67 1
 
< 0.1%
308.33 1
 
< 0.1%
306.67 1
 
< 0.1%
305.0 2
< 0.1%
303.33 1
 
< 0.1%
301.67 2
< 0.1%
296.67 4
< 0.1%
295.0 3
< 0.1%
Distinct5070
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.01799
Minimum0
Maximum644.67
Zeros186
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:11.711177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.62
Q120.49
median36
Q357.64
95-th percentile152.4585
Maximum644.67
Range644.67
Interquartile range (IQR)37.15

Descriptive statistics

Standard deviation60.036071
Coefficient of variation (CV)1.1767628
Kurtosis20.624112
Mean51.01799
Median Absolute Deviation (MAD)17.81
Skewness3.9351051
Sum510179.9
Variance3604.3298
MonotonicityNot monotonic
2024-05-04T07:04:12.361152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 186
 
1.9%
30.6 82
 
0.8%
36.0 80
 
0.8%
25.2 79
 
0.8%
32.4 76
 
0.8%
34.2 71
 
0.7%
27.0 69
 
0.7%
23.4 67
 
0.7%
45.0 66
 
0.7%
21.6 65
 
0.7%
Other values (5060) 9159
91.6%
ValueCountFrequency (%)
0.0 186
1.9%
1.8 12
 
0.1%
2.07 1
 
< 0.1%
2.15 1
 
< 0.1%
2.21 1
 
< 0.1%
2.31 1
 
< 0.1%
2.33 1
 
< 0.1%
2.34 1
 
< 0.1%
2.37 1
 
< 0.1%
2.39 1
 
< 0.1%
ValueCountFrequency (%)
644.67 1
< 0.1%
613.8 1
< 0.1%
587.13 1
< 0.1%
558.0 1
< 0.1%
556.2 1
< 0.1%
548.85 1
< 0.1%
547.2 1
< 0.1%
541.09 1
< 0.1%
532.57 1
< 0.1%
531.0 1
< 0.1%
Distinct7813
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.50088
Minimum18.99
Maximum282.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:12.858326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.99
5-th percentile31.619
Q180.5275
median138.465
Q3181.715
95-th percentile214.583
Maximum282.5
Range263.51
Interquartile range (IQR)101.1875

Descriptive statistics

Standard deviation58.470413
Coefficient of variation (CV)0.44463895
Kurtosis-1.1183732
Mean131.50088
Median Absolute Deviation (MAD)47.41
Skewness-0.26203862
Sum1315008.8
Variance3418.7892
MonotonicityNot monotonic
2024-05-04T07:04:13.339788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192.02 5
 
0.1%
176.12 5
 
0.1%
208.19 4
 
< 0.1%
188.79 4
 
< 0.1%
208.52 4
 
< 0.1%
68.73 4
 
< 0.1%
137.68 4
 
< 0.1%
28.58 4
 
< 0.1%
135.52 4
 
< 0.1%
119.89 4
 
< 0.1%
Other values (7803) 9958
99.6%
ValueCountFrequency (%)
18.99 1
< 0.1%
19.28 1
< 0.1%
20.36 1
< 0.1%
20.67 1
< 0.1%
20.7 1
< 0.1%
20.72 1
< 0.1%
20.9 1
< 0.1%
20.96 1
< 0.1%
21.17 1
< 0.1%
21.2 1
< 0.1%
ValueCountFrequency (%)
282.5 1
< 0.1%
246.72 1
< 0.1%
246.23 1
< 0.1%
244.2 1
< 0.1%
244.17 1
< 0.1%
242.89 1
< 0.1%
242.38 1
< 0.1%
242.1 1
< 0.1%
239.64 1
< 0.1%
238.92 1
< 0.1%
Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.827189
Minimum1.67
Maximum153.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:13.744251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile8.33
Q125
median53.33
Q380
95-th percentile106.67
Maximum153.33
Range151.66
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.157825
Coefficient of variation (CV)0.59742716
Kurtosis-1.0638703
Mean53.827189
Median Absolute Deviation (MAD)28.33
Skewness0.20634514
Sum538271.89
Variance1034.1257
MonotonicityNot monotonic
2024-05-04T07:04:14.183902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.67 305
 
3.0%
8.33 270
 
2.7%
16.67 215
 
2.1%
18.33 208
 
2.1%
15.0 206
 
2.1%
10.0 204
 
2.0%
26.67 194
 
1.9%
20.0 191
 
1.9%
11.67 189
 
1.9%
25.0 185
 
1.8%
Other values (77) 7833
78.3%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 3
 
< 0.1%
5.0 140
1.4%
6.67 305
3.0%
8.33 270
2.7%
10.0 204
2.0%
11.67 189
1.9%
13.33 179
1.8%
15.0 206
2.1%
16.67 215
2.1%
ValueCountFrequency (%)
153.33 1
 
< 0.1%
148.33 1
 
< 0.1%
146.67 1
 
< 0.1%
145.0 1
 
< 0.1%
140.0 1
 
< 0.1%
138.33 3
< 0.1%
136.67 1
 
< 0.1%
135.0 4
< 0.1%
131.67 3
< 0.1%
130.0 5
0.1%
Distinct139
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.84894
Minimum8.33
Maximum243.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:14.788724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.33
5-th percentile18.33
Q150
median108.33
Q3156.67
95-th percentile193.33
Maximum243.33
Range235
Interquartile range (IQR)106.67

Descriptive statistics

Standard deviation58.011763
Coefficient of variation (CV)0.54806183
Kurtosis-1.2225122
Mean105.84894
Median Absolute Deviation (MAD)51.66
Skewness-0.030285297
Sum1058489.4
Variance3365.3646
MonotonicityNot monotonic
2024-05-04T07:04:15.331355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 174
 
1.7%
18.33 154
 
1.5%
28.33 144
 
1.4%
20.0 138
 
1.4%
30.0 136
 
1.4%
36.67 135
 
1.4%
158.33 134
 
1.3%
16.67 127
 
1.3%
13.33 126
 
1.3%
155.0 121
 
1.2%
Other values (129) 8611
86.1%
ValueCountFrequency (%)
8.33 1
 
< 0.1%
10.0 1
 
< 0.1%
11.67 14
 
0.1%
13.33 126
1.3%
15.0 174
1.7%
16.67 127
1.3%
18.33 154
1.5%
20.0 138
1.4%
21.67 116
1.2%
23.33 114
1.1%
ValueCountFrequency (%)
243.33 1
 
< 0.1%
236.67 1
 
< 0.1%
235.0 1
 
< 0.1%
233.33 3
< 0.1%
231.67 2
 
< 0.1%
230.0 3
< 0.1%
228.33 2
 
< 0.1%
226.67 3
< 0.1%
225.0 3
< 0.1%
223.33 6
0.1%
Distinct230
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.95102
Minimum16.67
Maximum426.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:15.963680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.67
5-th percentile33.33
Q1106.67
median193.33
Q3265
95-th percentile325
Maximum426.67
Range410
Interquartile range (IQR)158.33

Descriptive statistics

Standard deviation92.818549
Coefficient of variation (CV)0.49648591
Kurtosis-1.0767095
Mean186.95102
Median Absolute Deviation (MAD)76.66
Skewness-0.13823628
Sum1869510.2
Variance8615.2831
MonotonicityNot monotonic
2024-05-04T07:04:16.619150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.33 153
 
1.5%
30.0 102
 
1.0%
35.0 86
 
0.9%
33.33 83
 
0.8%
31.67 83
 
0.8%
280.0 81
 
0.8%
26.67 80
 
0.8%
226.67 80
 
0.8%
236.67 80
 
0.8%
36.67 79
 
0.8%
Other values (220) 9093
90.9%
ValueCountFrequency (%)
16.67 1
 
< 0.1%
20.0 1
 
< 0.1%
21.67 2
 
< 0.1%
23.33 6
 
0.1%
25.0 21
 
0.2%
26.67 80
0.8%
28.33 153
1.5%
30.0 102
1.0%
31.67 83
0.8%
33.33 83
0.8%
ValueCountFrequency (%)
426.67 3
< 0.1%
421.67 1
 
< 0.1%
396.67 1
 
< 0.1%
395.0 1
 
< 0.1%
393.33 1
 
< 0.1%
391.67 1
 
< 0.1%
390.0 2
< 0.1%
388.33 2
< 0.1%
386.67 3
< 0.1%
385.0 3
< 0.1%
Distinct6452
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.00247
Minimum0
Maximum1191.04
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:17.203968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.867
Q147.5
median90.37
Q3147.6
95-th percentile329.4
Maximum1191.04
Range1191.04
Interquartile range (IQR)100.1

Descriptive statistics

Standard deviation116.51465
Coefficient of variation (CV)0.97909445
Kurtosis13.231633
Mean119.00247
Median Absolute Deviation (MAD)47.5
Skewness3.0067765
Sum1190024.7
Variance13575.665
MonotonicityNot monotonic
2024-05-04T07:04:18.008672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.6 38
 
0.4%
0.0 34
 
0.3%
99.0 33
 
0.3%
88.2 29
 
0.3%
91.8 27
 
0.3%
93.6 27
 
0.3%
95.4 27
 
0.3%
133.2 27
 
0.3%
108.0 27
 
0.3%
118.8 27
 
0.3%
Other values (6442) 9704
97.0%
ValueCountFrequency (%)
0.0 34
0.3%
1.8 1
 
< 0.1%
2.26 1
 
< 0.1%
2.4 1
 
< 0.1%
2.74 1
 
< 0.1%
2.8 1
 
< 0.1%
2.89 1
 
< 0.1%
2.97 1
 
< 0.1%
3.03 1
 
< 0.1%
3.11 2
 
< 0.1%
ValueCountFrequency (%)
1191.04 1
< 0.1%
1157.48 1
< 0.1%
1062.0 1
< 0.1%
1033.2 1
< 0.1%
1009.98 1
< 0.1%
1009.8 1
< 0.1%
997.75 1
< 0.1%
981.0 1
< 0.1%
962.16 1
< 0.1%
943.2 1
< 0.1%
Distinct3391
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.643979
Minimum3.89
Maximum58.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:18.573963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.89
5-th percentile11.6195
Q119.06
median28.84
Q335.87
95-th percentile41.83
Maximum58.41
Range54.52
Interquartile range (IQR)16.81

Descriptive statistics

Standard deviation9.8859389
Coefficient of variation (CV)0.35761635
Kurtosis-1.1279951
Mean27.643979
Median Absolute Deviation (MAD)8.295
Skewness-0.16411633
Sum276439.79
Variance97.731789
MonotonicityNot monotonic
2024-05-04T07:04:19.071251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.63 11
 
0.1%
35.68 10
 
0.1%
35.1 10
 
0.1%
32.6 10
 
0.1%
39.14 10
 
0.1%
32.79 10
 
0.1%
38.46 9
 
0.1%
31.67 9
 
0.1%
33.94 9
 
0.1%
33.08 9
 
0.1%
Other values (3381) 9903
99.0%
ValueCountFrequency (%)
3.89 1
< 0.1%
6.22 1
< 0.1%
6.71 1
< 0.1%
6.93 1
< 0.1%
6.98 1
< 0.1%
7.0 1
< 0.1%
7.08 1
< 0.1%
7.18 1
< 0.1%
7.2 1
< 0.1%
7.21 1
< 0.1%
ValueCountFrequency (%)
58.41 1
< 0.1%
53.95 1
< 0.1%
52.96 1
< 0.1%
51.94 1
< 0.1%
50.83 1
< 0.1%
49.29 1
< 0.1%
48.48 1
< 0.1%
48.33 1
< 0.1%
48.24 1
< 0.1%
48.11 1
< 0.1%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.102651
Minimum1.67
Maximum33.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:19.471381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median8.33
Q313.33
95-th percentile18.33
Maximum33.33
Range31.66
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.2725257
Coefficient of variation (CV)0.57922968
Kurtosis-0.96903428
Mean9.102651
Median Absolute Deviation (MAD)5
Skewness0.36310784
Sum91026.51
Variance27.799527
MonotonicityNot monotonic
2024-05-04T07:04:19.796872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.33 1956
19.6%
5.0 1253
12.5%
15.0 876
8.8%
13.33 863
8.6%
11.67 857
8.6%
10.0 824
8.2%
6.67 762
 
7.6%
8.33 738
 
7.4%
16.67 694
 
6.9%
1.67 572
 
5.7%
Other values (9) 605
 
6.0%
ValueCountFrequency (%)
1.67 572
 
5.7%
3.33 1956
19.6%
5.0 1253
12.5%
6.67 762
 
7.6%
8.33 738
 
7.4%
10.0 824
8.2%
11.67 857
8.6%
13.33 863
8.6%
15.0 876
8.8%
16.67 694
 
6.9%
ValueCountFrequency (%)
33.33 1
 
< 0.1%
31.67 1
 
< 0.1%
28.33 1
 
< 0.1%
26.67 3
 
< 0.1%
25.0 6
 
0.1%
23.33 11
 
0.1%
21.67 46
 
0.5%
20.0 124
 
1.2%
18.33 412
4.1%
16.67 694
6.9%
Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.776796
Minimum1.67
Maximum68.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:20.179265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile5
Q110
median20
Q328.33
95-th percentile35
Maximum68.33
Range66.66
Interquartile range (IQR)18.33

Descriptive statistics

Standard deviation10.243504
Coefficient of variation (CV)0.51795571
Kurtosis-1.20101
Mean19.776796
Median Absolute Deviation (MAD)10
Skewness0.083684144
Sum197767.96
Variance104.92938
MonotonicityNot monotonic
2024-05-04T07:04:20.682194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5.0 686
 
6.9%
6.67 661
 
6.6%
10.0 610
 
6.1%
8.33 603
 
6.0%
28.33 599
 
6.0%
30.0 560
 
5.6%
31.67 544
 
5.4%
11.67 515
 
5.1%
25.0 501
 
5.0%
26.67 495
 
5.0%
Other values (21) 4226
42.3%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 179
 
1.8%
5.0 686
6.9%
6.67 661
6.6%
8.33 603
6.0%
10.0 610
6.1%
11.67 515
5.1%
13.33 464
4.6%
15.0 375
3.8%
16.67 306
3.1%
ValueCountFrequency (%)
68.33 1
 
< 0.1%
51.67 1
 
< 0.1%
48.33 2
 
< 0.1%
46.67 4
 
< 0.1%
45.0 2
 
< 0.1%
43.33 10
 
0.1%
41.67 24
 
0.2%
40.0 43
 
0.4%
38.33 104
1.0%
36.67 212
2.1%
Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.521967
Minimum5
Maximum93.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:21.110681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.67
Q125
median41.67
Q353.33
95-th percentile65
Maximum93.33
Range88.33
Interquartile range (IQR)28.33

Descriptive statistics

Standard deviation16.649249
Coefficient of variation (CV)0.4212657
Kurtosis-0.98566816
Mean39.521967
Median Absolute Deviation (MAD)13.34
Skewness-0.07441586
Sum395219.67
Variance277.1975
MonotonicityNot monotonic
2024-05-04T07:04:21.539029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.33 393
 
3.9%
46.67 385
 
3.9%
50.0 384
 
3.8%
51.67 357
 
3.6%
45.0 347
 
3.5%
43.33 327
 
3.3%
60.0 325
 
3.2%
53.33 322
 
3.2%
56.67 296
 
3.0%
58.33 296
 
3.0%
Other values (41) 6568
65.7%
ValueCountFrequency (%)
5.0 3
 
< 0.1%
6.67 26
 
0.3%
8.33 144
1.4%
10.0 153
1.5%
11.67 184
1.8%
13.33 199
2.0%
15.0 242
2.4%
16.67 243
2.4%
18.33 250
2.5%
20.0 276
2.8%
ValueCountFrequency (%)
93.33 5
 
0.1%
88.33 1
 
< 0.1%
86.67 1
 
< 0.1%
83.33 2
 
< 0.1%
81.67 4
 
< 0.1%
80.0 1
 
< 0.1%
78.33 6
 
0.1%
76.67 8
 
0.1%
75.0 20
0.2%
73.33 16
0.2%

유튜브 사용 미추정 인구수
Real number (ℝ)

ZEROS 

Distinct3944
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.196889
Minimum0
Maximum413.78
Zeros510
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:22.073500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.8
median20.485
Q334.19
95-th percentile93.9835
Maximum413.78
Range413.78
Interquartile range (IQR)23.39

Descriptive statistics

Standard deviation39.214544
Coefficient of variation (CV)1.2986286
Kurtosis22.572495
Mean30.196889
Median Absolute Deviation (MAD)11.03
Skewness4.1503172
Sum301968.89
Variance1537.7804
MonotonicityNot monotonic
2024-05-04T07:04:22.743547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 510
 
5.1%
16.2 121
 
1.2%
19.8 120
 
1.2%
18.0 119
 
1.2%
14.4 111
 
1.1%
12.6 108
 
1.1%
23.4 104
 
1.0%
10.8 102
 
1.0%
27.0 99
 
1.0%
21.6 97
 
1.0%
Other values (3934) 8509
85.1%
ValueCountFrequency (%)
0.0 510
5.1%
1.8 22
 
0.2%
1.83 1
 
< 0.1%
1.92 3
 
< 0.1%
1.93 1
 
< 0.1%
1.96 1
 
< 0.1%
1.97 1
 
< 0.1%
1.98 1
 
< 0.1%
1.99 1
 
< 0.1%
2.03 1
 
< 0.1%
ValueCountFrequency (%)
413.78 1
< 0.1%
412.2 1
< 0.1%
400.25 1
< 0.1%
379.8 1
< 0.1%
378.23 1
< 0.1%
370.8 1
< 0.1%
367.2 1
< 0.1%
364.12 1
< 0.1%
363.6 1
< 0.1%
354.75 1
< 0.1%

유튜브 사용일수
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0443
Minimum-0.71
Maximum0.43
Zeros190
Zeros (%)1.9%
Negative5723
Negative (%)57.2%
Memory size166.0 KiB
2024-05-04T07:04:23.128047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.71
5-th percentile-0.46
Q1-0.14
median-0.04
Q30.1
95-th percentile0.25
Maximum0.43
Range1.14
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.19786113
Coefficient of variation (CV)-4.4663911
Kurtosis0.61860786
Mean-0.0443
Median Absolute Deviation (MAD)0.12
Skewness-0.7000903
Sum-443
Variance0.039149025
MonotonicityNot monotonic
2024-05-04T07:04:23.614890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.12 322
 
3.2%
-0.13 300
 
3.0%
-0.14 282
 
2.8%
-0.11 260
 
2.6%
-0.09 225
 
2.2%
-0.15 225
 
2.2%
-0.06 221
 
2.2%
-0.02 220
 
2.2%
-0.08 217
 
2.2%
-0.05 216
 
2.2%
Other values (102) 7512
75.1%
ValueCountFrequency (%)
-0.71 1
 
< 0.1%
-0.69 2
 
< 0.1%
-0.68 6
 
0.1%
-0.67 2
 
< 0.1%
-0.66 6
 
0.1%
-0.65 5
 
0.1%
-0.64 13
 
0.1%
-0.63 22
0.2%
-0.62 33
0.3%
-0.61 37
0.4%
ValueCountFrequency (%)
0.43 1
 
< 0.1%
0.41 1
 
< 0.1%
0.4 3
< 0.1%
0.38 1
 
< 0.1%
0.37 2
 
< 0.1%
0.36 1
 
< 0.1%
0.35 4
< 0.1%
0.34 1
 
< 0.1%
0.33 2
 
< 0.1%
0.32 6
0.1%
Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.213974
Minimum-1.33
Maximum0.41
Zeros96
Zeros (%)1.0%
Negative7771
Negative (%)77.7%
Memory size166.0 KiB
2024-05-04T07:04:24.056171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.33
5-th percentile-0.77
Q1-0.32
median-0.2
Q3-0.02
95-th percentile0.16
Maximum0.41
Range1.74
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.27781167
Coefficient of variation (CV)-1.2983431
Kurtosis2.8513455
Mean-0.213974
Median Absolute Deviation (MAD)0.15
Skewness-1.3310478
Sum-2139.74
Variance0.077179325
MonotonicityNot monotonic
2024-05-04T07:04:24.472111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.28 280
 
2.8%
-0.29 266
 
2.7%
-0.3 264
 
2.6%
-0.27 226
 
2.3%
-0.31 221
 
2.2%
-0.26 216
 
2.2%
-0.22 198
 
2.0%
-0.32 192
 
1.9%
-0.25 184
 
1.8%
-0.24 181
 
1.8%
Other values (155) 7772
77.7%
ValueCountFrequency (%)
-1.33 75
0.8%
-1.31 1
 
< 0.1%
-1.3 11
 
0.1%
-1.29 5
 
0.1%
-1.28 5
 
0.1%
-1.27 3
 
< 0.1%
-1.26 4
 
< 0.1%
-1.25 3
 
< 0.1%
-1.24 2
 
< 0.1%
-1.23 5
 
0.1%
ValueCountFrequency (%)
0.41 1
 
< 0.1%
0.36 2
 
< 0.1%
0.33 1
 
< 0.1%
0.32 2
 
< 0.1%
0.3 3
 
< 0.1%
0.28 2
 
< 0.1%
0.26 2
 
< 0.1%
0.25 4
 
< 0.1%
0.24 3
 
< 0.1%
0.23 13
0.1%
Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025859
Minimum-0.67
Maximum0.44
Zeros107
Zeros (%)1.1%
Negative4310
Negative (%)43.1%
Memory size166.0 KiB
2024-05-04T07:04:24.926598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.2028131
Coefficient of variation (CV)7.8430374
Kurtosis0.50726622
Mean0.025859
Median Absolute Deviation (MAD)0.13
Skewness-0.66682398
Sum258.59
Variance0.041133155
MonotonicityNot monotonic
2024-05-04T07:04:25.380991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.09 286
 
2.9%
-0.1 281
 
2.8%
-0.08 271
 
2.7%
-0.07 260
 
2.6%
0.14 226
 
2.3%
-0.06 226
 
2.3%
-0.11 223
 
2.2%
0.05 217
 
2.2%
0.03 215
 
2.1%
0.16 213
 
2.1%
Other values (100) 7582
75.8%
ValueCountFrequency (%)
-0.67 1
 
< 0.1%
-0.65 1
 
< 0.1%
-0.64 4
 
< 0.1%
-0.62 3
 
< 0.1%
-0.61 9
0.1%
-0.6 7
 
0.1%
-0.59 11
0.1%
-0.58 9
0.1%
-0.57 21
0.2%
-0.56 22
0.2%
ValueCountFrequency (%)
0.44 1
 
< 0.1%
0.43 3
 
< 0.1%
0.42 1
 
< 0.1%
0.41 5
 
0.1%
0.4 3
 
< 0.1%
0.39 5
 
0.1%
0.38 8
 
0.1%
0.37 23
 
0.2%
0.36 44
0.4%
0.35 99
1.0%
Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.207996
Minimum-0.3
Maximum0.55
Zeros39
Zeros (%)0.4%
Negative790
Negative (%)7.9%
Memory size166.0 KiB
2024-05-04T07:04:25.834496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3
5-th percentile-0.07
Q10.11
median0.21
Q30.32
95-th percentile0.44
Maximum0.55
Range0.85
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.15065668
Coefficient of variation (CV)0.72432487
Kurtosis0.010044639
Mean0.207996
Median Absolute Deviation (MAD)0.11
Skewness-0.43703999
Sum2079.96
Variance0.022697434
MonotonicityNot monotonic
2024-05-04T07:04:26.264544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 315
 
3.1%
0.09 293
 
2.9%
0.11 275
 
2.8%
0.31 275
 
2.8%
0.3 274
 
2.7%
0.27 268
 
2.7%
0.08 266
 
2.7%
0.29 260
 
2.6%
0.12 258
 
2.6%
0.28 249
 
2.5%
Other values (73) 7267
72.7%
ValueCountFrequency (%)
-0.3 3
 
< 0.1%
-0.28 6
 
0.1%
-0.27 2
 
< 0.1%
-0.26 4
 
< 0.1%
-0.25 6
 
0.1%
-0.24 11
0.1%
-0.23 15
0.1%
-0.22 15
0.1%
-0.21 20
0.2%
-0.2 27
0.3%
ValueCountFrequency (%)
0.55 1
 
< 0.1%
0.53 1
 
< 0.1%
0.51 1
 
< 0.1%
0.5 2
 
< 0.1%
0.49 4
 
< 0.1%
0.48 20
 
0.2%
0.47 59
 
0.6%
0.46 132
1.3%
0.45 198
2.0%
0.44 223
2.2%
Distinct7656
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483.87131
Minimum0
Maximum1897.43
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:26.751542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144.7525
Q1290.99
median436.695
Q3633.65
95-th percentile979.413
Maximum1897.43
Range1897.43
Interquartile range (IQR)342.66

Descriptive statistics

Standard deviation259.64524
Coefficient of variation (CV)0.53659979
Kurtosis0.96724216
Mean483.87131
Median Absolute Deviation (MAD)165.34
Skewness0.92318824
Sum4838713.1
Variance67415.652
MonotonicityNot monotonic
2024-05-04T07:04:27.246154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367.2 16
 
0.2%
489.6 15
 
0.1%
615.6 13
 
0.1%
426.6 13
 
0.1%
405.0 13
 
0.1%
423.0 12
 
0.1%
464.4 12
 
0.1%
311.4 11
 
0.1%
594.0 11
 
0.1%
597.6 11
 
0.1%
Other values (7646) 9873
98.7%
ValueCountFrequency (%)
0.0 1
< 0.1%
5.4 1
< 0.1%
5.5 1
< 0.1%
12.6 1
< 0.1%
14.26 1
< 0.1%
14.5 1
< 0.1%
16.2 1
< 0.1%
18.19 1
< 0.1%
21.82 1
< 0.1%
22.0 1
< 0.1%
ValueCountFrequency (%)
1897.43 1
< 0.1%
1774.2 1
< 0.1%
1749.74 1
< 0.1%
1716.81 1
< 0.1%
1706.4 1
< 0.1%
1706.23 1
< 0.1%
1618.98 1
< 0.1%
1614.6 1
< 0.1%
1592.48 1
< 0.1%
1569.65 1
< 0.1%

넷플릭스 사용일수
Real number (ℝ)

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.398539
Minimum-0.67
Maximum0.22
Zeros0
Zeros (%)0.0%
Negative9995
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T07:04:27.715193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.65
Q1-0.6
median-0.38
Q3-0.22
95-th percentile-0.14
Maximum0.22
Range0.89
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.18854175
Coefficient of variation (CV)-0.4730823
Kurtosis-1.5192192
Mean-0.398539
Median Absolute Deviation (MAD)0.18
Skewness-0.027147546
Sum-3985.39
Variance0.03554799
MonotonicityNot monotonic
2024-05-04T07:04:28.510025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.65 572
 
5.7%
-0.64 466
 
4.7%
-0.63 422
 
4.2%
-0.66 368
 
3.7%
-0.62 346
 
3.5%
-0.2 279
 
2.8%
-0.21 272
 
2.7%
-0.19 267
 
2.7%
-0.23 265
 
2.6%
-0.18 250
 
2.5%
Other values (61) 6493
64.9%
ValueCountFrequency (%)
-0.67 12
 
0.1%
-0.66 368
3.7%
-0.65 572
5.7%
-0.64 466
4.7%
-0.63 422
4.2%
-0.62 346
3.5%
-0.61 244
2.4%
-0.6 234
2.3%
-0.59 199
 
2.0%
-0.58 154
 
1.5%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.07 1
 
< 0.1%
0.06 1
 
< 0.1%
0.05 1
 
< 0.1%
0.01 1
 
< 0.1%
-0.02 4
< 0.1%
-0.03 1
 
< 0.1%
-0.04 4
< 0.1%
-0.05 8
0.1%
-0.06 3
 
< 0.1%
Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.669104
Minimum-0.67
Maximum0.29
Zeros0
Zeros (%)0.0%
Negative9999
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T07:04:29.033261image/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
Maximum0.29
Range0.96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.016495587
Coefficient of variation (CV)-0.024653248
Kurtosis1459.6211
Mean-0.669104
Median Absolute Deviation (MAD)0
Skewness32.691065
Sum-6691.04
Variance0.00027210439
MonotonicityNot monotonic
2024-05-04T07:04:29.502904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-0.67 9941
99.4%
-0.56 6
 
0.1%
-0.63 5
 
0.1%
-0.57 5
 
0.1%
-0.58 4
 
< 0.1%
-0.61 3
 
< 0.1%
-0.59 3
 
< 0.1%
-0.55 3
 
< 0.1%
-0.47 2
 
< 0.1%
-0.52 2
 
< 0.1%
Other values (20) 26
 
0.3%
ValueCountFrequency (%)
-0.67 9941
99.4%
-0.65 2
 
< 0.1%
-0.64 2
 
< 0.1%
-0.63 5
 
0.1%
-0.62 2
 
< 0.1%
-0.61 3
 
< 0.1%
-0.6 2
 
< 0.1%
-0.59 3
 
< 0.1%
-0.58 4
 
< 0.1%
-0.57 5
 
0.1%
ValueCountFrequency (%)
0.29 1
< 0.1%
-0.14 1
< 0.1%
-0.16 1
< 0.1%
-0.24 1
< 0.1%
-0.3 1
< 0.1%
-0.35 1
< 0.1%
-0.4 1
< 0.1%
-0.42 1
< 0.1%
-0.44 1
< 0.1%
-0.45 1
< 0.1%
Distinct85
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.491834
Minimum-0.67
Maximum0.37
Zeros22
Zeros (%)0.2%
Negative9857
Negative (%)98.6%
Memory size166.0 KiB
2024-05-04T07:04:30.007558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.67
Q3-0.27
95-th percentile-0.08
Maximum0.37
Range1.04
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.23067973
Coefficient of variation (CV)-0.46901949
Kurtosis-0.96187898
Mean-0.491834
Median Absolute Deviation (MAD)0
Skewness0.78737936
Sum-4918.34
Variance0.053213138
MonotonicityNot monotonic
2024-05-04T07:04:30.493141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 5716
57.2%
-0.27 121
 
1.2%
-0.18 113
 
1.1%
-0.14 112
 
1.1%
-0.19 111
 
1.1%
-0.16 108
 
1.1%
-0.2 108
 
1.1%
-0.32 107
 
1.1%
-0.21 107
 
1.1%
-0.22 105
 
1.1%
Other values (75) 3292
32.9%
ValueCountFrequency (%)
-0.67 5716
57.2%
-0.65 10
 
0.1%
-0.64 15
 
0.1%
-0.63 8
 
0.1%
-0.62 9
 
0.1%
-0.61 22
 
0.2%
-0.6 23
 
0.2%
-0.59 16
 
0.2%
-0.58 13
 
0.1%
-0.57 42
 
0.4%
ValueCountFrequency (%)
0.37 1
 
< 0.1%
0.31 1
 
< 0.1%
0.19 1
 
< 0.1%
0.17 2
< 0.1%
0.16 1
 
< 0.1%
0.15 3
< 0.1%
0.14 1
 
< 0.1%
0.13 3
< 0.1%
0.11 3
< 0.1%
0.09 1
 
< 0.1%
Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.193102
Minimum-0.67
Maximum0.51
Zeros30
Zeros (%)0.3%
Negative5331
Negative (%)53.3%
Memory size166.0 KiB
2024-05-04T07:04:31.025814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.09
Q30.21
95-th percentile0.27
Maximum0.51
Range1.18
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.40010577
Coefficient of variation (CV)-2.0719918
Kurtosis-1.7623941
Mean-0.193102
Median Absolute Deviation (MAD)0.34
Skewness-0.15419403
Sum-1931.02
Variance0.16008463
MonotonicityNot monotonic
2024-05-04T07:04:31.637601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 3560
35.6%
0.22 345
 
3.5%
0.24 337
 
3.4%
0.25 322
 
3.2%
0.23 317
 
3.2%
0.21 295
 
2.9%
0.26 282
 
2.8%
0.2 272
 
2.7%
0.27 229
 
2.3%
0.19 222
 
2.2%
Other values (101) 3819
38.2%
ValueCountFrequency (%)
-0.67 3560
35.6%
-0.66 2
 
< 0.1%
-0.65 4
 
< 0.1%
-0.64 5
 
0.1%
-0.63 3
 
< 0.1%
-0.62 1
 
< 0.1%
-0.61 12
 
0.1%
-0.6 8
 
0.1%
-0.59 9
 
0.1%
-0.58 13
 
0.1%
ValueCountFrequency (%)
0.51 1
 
< 0.1%
0.47 1
 
< 0.1%
0.41 2
 
< 0.1%
0.4 1
 
< 0.1%
0.39 2
 
< 0.1%
0.38 2
 
< 0.1%
0.37 2
 
< 0.1%
0.36 2
 
< 0.1%
0.35 4
< 0.1%
0.34 6
0.1%
Distinct7648
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.05629
Minimum0
Maximum1888.29
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:32.112396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82.437
Q1181.63
median358.34
Q3606.6125
95-th percentile990.786
Maximum1888.29
Range1888.29
Interquartile range (IQR)424.9825

Descriptive statistics

Standard deviation292.72257
Coefficient of variation (CV)0.69192347
Kurtosis0.61694127
Mean423.05629
Median Absolute Deviation (MAD)197.86
Skewness0.96400374
Sum4230562.9
Variance85686.506
MonotonicityNot monotonic
2024-05-04T07:04:32.786027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
496.8 17
 
0.2%
484.2 15
 
0.1%
439.2 14
 
0.1%
444.6 13
 
0.1%
658.8 12
 
0.1%
475.2 12
 
0.1%
406.8 11
 
0.1%
394.2 11
 
0.1%
376.2 11
 
0.1%
646.2 11
 
0.1%
Other values (7638) 9873
98.7%
ValueCountFrequency (%)
0.0 4
< 0.1%
3.6 2
< 0.1%
5.4 1
 
< 0.1%
5.5 1
 
< 0.1%
5.63 1
 
< 0.1%
7.69 1
 
< 0.1%
7.73 1
 
< 0.1%
9.0 1
 
< 0.1%
9.4 1
 
< 0.1%
10.11 1
 
< 0.1%
ValueCountFrequency (%)
1888.29 1
< 0.1%
1728.0 1
< 0.1%
1717.03 1
< 0.1%
1716.31 1
< 0.1%
1706.97 1
< 0.1%
1699.25 1
< 0.1%
1684.71 1
< 0.1%
1644.04 1
< 0.1%
1628.99 1
< 0.1%
1625.4 1
< 0.1%
Distinct1429
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.253574
Minimum0
Maximum31.67
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:33.752643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.28
Q18.55
median11.47
Q314.08
95-th percentile16.5805
Maximum31.67
Range31.67
Interquartile range (IQR)5.53

Descriptive statistics

Standard deviation3.6137229
Coefficient of variation (CV)0.32111779
Kurtosis-0.042227216
Mean11.253574
Median Absolute Deviation (MAD)2.76
Skewness-0.15973151
Sum112535.74
Variance13.058993
MonotonicityNot monotonic
2024-05-04T07:04:34.248844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.67 63
 
0.6%
8.33 63
 
0.6%
5.0 57
 
0.6%
10.0 50
 
0.5%
11.67 49
 
0.5%
3.33 38
 
0.4%
13.33 37
 
0.4%
10.83 32
 
0.3%
7.5 31
 
0.3%
5.56 26
 
0.3%
Other values (1419) 9554
95.5%
ValueCountFrequency (%)
0.0 24
0.2%
1.67 26
0.3%
1.94 1
 
< 0.1%
2.0 6
 
0.1%
2.08 2
 
< 0.1%
2.22 11
0.1%
2.29 1
 
< 0.1%
2.33 2
 
< 0.1%
2.38 1
 
< 0.1%
2.44 1
 
< 0.1%
ValueCountFrequency (%)
31.67 4
< 0.1%
30.0 1
 
< 0.1%
29.17 1
 
< 0.1%
23.67 1
 
< 0.1%
21.67 2
< 0.1%
20.83 1
 
< 0.1%
20.33 1
 
< 0.1%
20.0 4
< 0.1%
19.74 1
 
< 0.1%
19.67 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.801348
Minimum0
Maximum31.67
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:34.750707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.67
Q11.67
median3.33
Q35
95-th percentile6.67
Maximum31.67
Range31.67
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation1.9600026
Coefficient of variation (CV)0.51560726
Kurtosis22.777086
Mean3.801348
Median Absolute Deviation (MAD)1.66
Skewness2.2575296
Sum38013.48
Variance3.8416103
MonotonicityNot monotonic
2024-05-04T07:04:35.270499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3.33 3258
32.6%
1.67 2837
28.4%
5.0 2480
24.8%
6.67 1155
 
11.6%
8.33 199
 
2.0%
10.0 26
 
0.3%
0.0 24
 
0.2%
11.67 6
 
0.1%
31.67 4
 
< 0.1%
13.33 3
 
< 0.1%
Other values (7) 8
 
0.1%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 2837
28.4%
3.33 3258
32.6%
5.0 2480
24.8%
6.67 1155
 
11.6%
8.33 199
 
2.0%
10.0 26
 
0.3%
11.67 6
 
0.1%
13.33 3
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
31.67 4
< 0.1%
30.0 1
 
< 0.1%
26.67 1
 
< 0.1%
21.67 1
 
< 0.1%
20.0 2
 
< 0.1%
18.33 1
 
< 0.1%
16.67 1
 
< 0.1%
15.0 1
 
< 0.1%
13.33 3
< 0.1%
11.67 6
0.1%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.308048
Minimum0
Maximum31.67
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:35.675679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.33
Q15
median8.33
Q311.67
95-th percentile15
Maximum31.67
Range31.67
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation3.9531947
Coefficient of variation (CV)0.47582714
Kurtosis0.18232306
Mean8.308048
Median Absolute Deviation (MAD)3.33
Skewness0.43180696
Sum83080.48
Variance15.627749
MonotonicityNot monotonic
2024-05-04T07:04:36.082171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5.0 1496
15.0%
8.33 1408
14.1%
6.67 1377
13.8%
10.0 1313
13.1%
3.33 1199
12.0%
11.67 1190
11.9%
13.33 845
8.5%
15.0 446
 
4.5%
1.67 422
 
4.2%
16.67 171
 
1.7%
Other values (10) 133
 
1.3%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 422
 
4.2%
3.33 1199
12.0%
5.0 1496
15.0%
6.67 1377
13.8%
8.33 1408
14.1%
10.0 1313
13.1%
11.67 1190
11.9%
13.33 845
8.5%
15.0 446
 
4.5%
ValueCountFrequency (%)
31.67 5
 
0.1%
30.0 1
 
< 0.1%
28.33 1
 
< 0.1%
26.67 1
 
< 0.1%
25.0 1
 
< 0.1%
23.33 3
 
< 0.1%
21.67 4
 
< 0.1%
20.0 23
 
0.2%
18.33 70
0.7%
16.67 171
1.7%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.107252
Minimum0
Maximum31.67
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:36.444399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111.67
median16.67
Q323.33
95-th percentile28.33
Maximum31.67
Range31.67
Interquartile range (IQR)11.66

Descriptive statistics

Standard deviation7.0917796
Coefficient of variation (CV)0.41454815
Kurtosis-0.80351767
Mean17.107252
Median Absolute Deviation (MAD)5
Skewness-0.015162493
Sum171072.52
Variance50.293338
MonotonicityNot monotonic
2024-05-04T07:04:37.020861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20.0 797
 
8.0%
18.33 789
 
7.9%
15.0 765
 
7.6%
21.67 755
 
7.5%
16.67 755
 
7.5%
11.67 724
 
7.2%
23.33 691
 
6.9%
10.0 679
 
6.8%
13.33 658
 
6.6%
25.0 639
 
6.4%
Other values (10) 2748
27.5%
ValueCountFrequency (%)
0.0 24
 
0.2%
1.67 54
 
0.5%
3.33 163
 
1.6%
5.0 274
 
2.7%
6.67 454
4.5%
8.33 572
5.7%
10.0 679
6.8%
11.67 724
7.2%
13.33 658
6.6%
15.0 765
7.6%
ValueCountFrequency (%)
31.67 204
 
2.0%
30.0 182
 
1.8%
28.33 319
3.2%
26.67 502
5.0%
25.0 639
6.4%
23.33 691
6.9%
21.67 755
7.5%
20.0 797
8.0%
18.33 789
7.9%
16.67 755
7.5%
Distinct7841
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799.85083
Minimum22
Maximum4576.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:37.494423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile273.5275
Q1535.42
median752.4
Q31006.24
95-th percentile1475.797
Maximum4576.83
Range4554.83
Interquartile range (IQR)470.82

Descriptive statistics

Standard deviation378.07602
Coefficient of variation (CV)0.47268316
Kurtosis2.6664855
Mean799.85083
Median Absolute Deviation (MAD)232.64
Skewness1.0071342
Sum7998508.3
Variance142941.48
MonotonicityNot monotonic
2024-05-04T07:04:38.014215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
622.8 14
 
0.1%
597.6 14
 
0.1%
502.2 12
 
0.1%
579.6 11
 
0.1%
561.6 11
 
0.1%
720.0 11
 
0.1%
703.8 11
 
0.1%
421.2 10
 
0.1%
777.6 10
 
0.1%
504.0 10
 
0.1%
Other values (7831) 9886
98.9%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
27.0 1
 
< 0.1%
28.8 1
 
< 0.1%
39.6 1
 
< 0.1%
46.8 1
 
< 0.1%
48.6 2
< 0.1%
50.4 1
 
< 0.1%
54.0 3
< 0.1%
57.6 1
 
< 0.1%
58.0 2
< 0.1%
ValueCountFrequency (%)
4576.83 1
< 0.1%
3261.93 1
< 0.1%
3050.44 1
< 0.1%
2916.49 1
< 0.1%
2907.76 1
< 0.1%
2851.41 1
< 0.1%
2830.81 1
< 0.1%
2793.75 1
< 0.1%
2777.16 1
< 0.1%
2716.45 1
< 0.1%
Distinct199
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.395339
Minimum0
Maximum5
Zeros1426
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:38.440987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.08
median2.67
Q32.99
95-th percentile3.89
Maximum5
Range5
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation1.1636391
Coefficient of variation (CV)0.48579308
Kurtosis0.58654637
Mean2.395339
Median Absolute Deviation (MAD)0.39
Skewness-0.72812718
Sum23953.39
Variance1.354056
MonotonicityNot monotonic
2024-05-04T07:04:38.991541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1426
 
14.3%
1.67 887
 
8.9%
3.33 693
 
6.9%
2.5 429
 
4.3%
5.0 334
 
3.3%
2.78 320
 
3.2%
2.92 188
 
1.9%
2.67 183
 
1.8%
2.22 145
 
1.5%
2.86 127
 
1.3%
Other values (189) 5268
52.7%
ValueCountFrequency (%)
0.0 1426
14.3%
1.67 887
8.9%
1.76 2
 
< 0.1%
1.77 2
 
< 0.1%
1.78 1
 
< 0.1%
1.79 4
 
< 0.1%
1.82 2
 
< 0.1%
1.83 1
 
< 0.1%
1.85 4
 
< 0.1%
1.88 7
 
0.1%
ValueCountFrequency (%)
5.0 334
3.3%
4.76 1
 
< 0.1%
4.67 1
 
< 0.1%
4.58 5
 
0.1%
4.44 11
 
0.1%
4.33 5
 
0.1%
4.17 81
 
0.8%
4.07 3
 
< 0.1%
4.05 2
 
< 0.1%
4.0 9
 
0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7878 
0.0
1426 
3.33
 
354
5.0
 
342

Length

Max length4
Median length4
Mean length3.8232
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7878
78.8%
0.0 1426
 
14.3%
3.33 354
 
3.5%
5.0 342
 
3.4%

Length

2024-05-04T07:04:39.497200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:39.928100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7878
78.8%
0.0 1426
 
14.3%
3.33 354
 
3.5%
5.0 342
 
3.4%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6452 
3.33
1617 
0.0
1426 
5.0
 
505

Length

Max length4
Median length4
Mean length3.8069
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.33
2nd row0.0
3rd row5.0
4th row3.33
5th row1.67

Common Values

ValueCountFrequency (%)
1.67 6452
64.5%
3.33 1617
 
16.2%
0.0 1426
 
14.3%
5.0 505
 
5.1%

Length

2024-05-04T07:04:40.325216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:40.789280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6452
64.5%
3.33 1617
 
16.2%
0.0 1426
 
14.3%
5.0 505
 
5.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
3621 
5.0
3467 
1.67
1486 
0.0
1426 

Length

Max length4
Median length4
Mean length3.5107
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 3621
36.2%
5.0 3467
34.7%
1.67 1486
14.9%
0.0 1426
 
14.3%

Length

2024-05-04T07:04:41.325240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:41.796057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 3621
36.2%
5.0 3467
34.7%
1.67 1486
14.9%
0.0 1426
 
14.3%
Distinct7619
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.93495
Minimum22
Maximum4692.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:04:42.312434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile281.247
Q1556
median786.6
Q31061.895
95-th percentile1567.6845
Maximum4692.7
Range4670.7
Interquartile range (IQR)505.895

Descriptive statistics

Standard deviation403.79156
Coefficient of variation (CV)0.4813145
Kurtosis2.5289346
Mean838.93495
Median Absolute Deviation (MAD)248.21
Skewness1.0250975
Sum8389349.5
Variance163047.62
MonotonicityNot monotonic
2024-05-04T07:04:42.821654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
603.0 15
 
0.1%
786.6 13
 
0.1%
621.0 12
 
0.1%
732.6 12
 
0.1%
720.0 12
 
0.1%
424.8 11
 
0.1%
365.4 11
 
0.1%
489.6 11
 
0.1%
550.8 11
 
0.1%
486.0 11
 
0.1%
Other values (7609) 9881
98.8%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
27.0 1
 
< 0.1%
32.4 1
 
< 0.1%
41.4 1
 
< 0.1%
46.8 1
 
< 0.1%
48.6 2
< 0.1%
52.2 1
 
< 0.1%
54.0 3
< 0.1%
57.6 1
 
< 0.1%
58.0 2
< 0.1%
ValueCountFrequency (%)
4692.7 1
< 0.1%
3344.11 1
< 0.1%
3067.34 1
< 0.1%
3050.44 1
< 0.1%
3031.24 1
< 0.1%
2990.63 1
< 0.1%
2929.63 1
< 0.1%
2927.16 1
< 0.1%
2924.83 1
< 0.1%
2862.07 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7811 
0.0
2189 

Length

Max length4
Median length4
Mean length3.7811
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%

Length

2024-05-04T07:04:43.413999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:43.801006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7811 
0.0
2189 

Length

Max length4
Median length4
Mean length3.7811
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%

Length

2024-05-04T07:04:44.152526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:44.426898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7811 
0.0
2189 

Length

Max length4
Median length4
Mean length3.7811
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%

Length

2024-05-04T07:04:44.711794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:44.944740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7811 
0.0
2189 

Length

Max length4
Median length4
Mean length3.7811
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%

Length

2024-05-04T07:04:45.243364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:04:45.555287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7811
78.1%
0.0 2189
 
21.9%

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%
29791108078성북구장위3동135459.042.6301.7512202.34123140.468.19406080129.6568.74490580680442.82.221.671.673.33345.64465.611000.03333.339333.337.0623.40.15-0.180.190.4879.4320.050.0130.010.343.333.3310.017.168.3315.023.336.153.335.06.679.221.796.5214.2928.827.1420.028.3335.036.09.425.010.013.331.8570877.17418366.67505366.67720066.675.4151360.9894966.67140100.0202633.3325.2944.67300.0733.331300.045.0380.29166.67300.0533.3348.612.088.3313.3316.6728.863.9931.6750.093.3350.4175.9798.33166.67265.036.0184.7688.33158.33261.6750.438.7515.030.058.3314.40.120.030.250.36169.2-0.24-0.67-0.40.21122.414.615.011.6723.33412.23.211.673.335.0453.61.671.671.671.67
67551118058금천구시흥2동175649.8189.9801.3311201.0111649.80.0000649.80.0000648.01.671.671.671.67630.02424.24333.33666.673333.331.39120.6-0.21-0.44-0.32-0.0832.066.6716.6736.6714.143.333.3310.09.373.336.6711.673.761.673.335.00.640.020.130.5117.011.373.338.3315.0244.85.261.673.336.677.2941927.17828733.331019066.671100100.07.2276159.48228500.0283133.33335300.0158.4385.9666.67200.0466.67277.2202.0966.67133.33266.67207.06.71.675.08.3393.628.9818.3328.3335.0307.819.413.338.3321.67135.027.698.3316.6733.33288.012.491.675.015.081.0-0.39-0.66-0.28-0.04624.6-0.65-0.67-0.67-0.67637.29.293.335.010.0649.80.00.00.00.0648.01.671.671.671.67
62951117054구로구구로3동155819.095.9201.5511202.5123373.9967.77305090340.86550.89470580700807.161.671.671.671.67731.424648.651333.333666.679333.338.3871.010.01-0.3-0.030.2466.8216.6746.67103.3314.183.336.6713.3318.816.6713.3325.06.773.335.08.332.920.291.113.9882.8523.5611.6725.033.33137.299.15.08.3313.332.37600416.04398000.0534100.0788833.332.37160193.2482200.0145466.67223533.33108.881004.78266.67733.331500.0139.66428.8133.33300.0566.67118.3512.48.3313.3316.6766.2843.6531.6738.3351.67125.4595.8225.071.67133.3380.48115.0435.076.67170.0160.9628.66.6721.6740.054.44-0.11-0.30.00.22617.8-0.52-0.67-0.67-0.67646.219.163.335.010.0804.84.173.335.05.0819.00.00.00.00.0
651101055종로구부암동245531.061.2701.5111202.27123270.9247.64204060234.8519.27410540670523.782.51.671.673.33447.923985.51333.332666.679333.336.832.51-0.09-0.3-0.140.0571.423.3343.33106.6715.023.336.6716.6714.796.6711.6718.336.653.335.08.333.730.421.464.1439.7323.8715.025.031.6754.188.45.08.3311.673.61732786.3519100.0760066.67913600.07.22211907.59161266.67213233.33267000.043.35588.64266.67466.67766.6761.41296.92100.0200.0400.0101.146.271.675.08.3346.9637.4618.3331.6746.6754.18115.2745.088.33161.6743.35172.3578.33148.33251.6765.0227.628.3316.6736.6732.51-0.15-0.27-0.060.12285.37-0.37-0.67-0.67-0.1220.359.363.335.011.67487.653.611.673.335.0520.161.671.671.671.67
95401124069송파구문정2동220520.0226.4802.322302.94134292.7967.633040100267.03541.2440570730505.951.671.671.671.67475.56912.284000.09333.339333.337.214.68-0.02-0.2-0.070.1574.5616.6746.67103.3314.023.336.6713.336.113.335.08.334.03.333.335.09.082.345.0413.8325.7720.4713.3320.028.3332.798.435.08.3311.672.34653349.77488866.67672133.33803866.677.03181150.23117400.0178800.0237633.3323.42746.07433.33700.0966.6737.48373.62166.67300.0500.025.7710.816.6710.015.09.3734.3716.6726.6743.337.03106.5953.3390.0143.334.68141.7758.33113.33200.014.0531.8611.6723.3343.330.00.160.020.180.33140.54-0.13-0.67-0.060.2881.9812.643.3310.020.0501.262.291.671.671.67503.61.671.671.671.67
17321105060광진구구의1동140953.0274.2501.5411202.47123334.4260.28204080292.89549.67470570660911.472.371.671.673.33760.655481.062000.05666.679333.337.1132.790.15-0.140.110.572.2616.6743.33110.014.43.336.6716.6718.056.6713.3323.336.643.335.08.339.821.274.6612.376.525.3916.6728.3333.33133.338.525.08.3311.6715.3615770.24443233.33555933.33750600.019.67197597.11120700.0188766.67273433.3380.871033.5400.0800.01500.0139.89432.71133.33333.33600.0107.112.7610.015.016.6732.7966.6835.053.3395.069.94164.3975.0153.33261.6739.34184.3571.67168.33275.078.6939.9313.3335.061.6717.490.09-0.040.180.32437.16-0.27-0.67-0.50.18321.3114.725.011.6725.0843.712.91.671.675.0948.631.671.671.671.67
95231124068송파구문정1동2551053.079.001.5211202.13123507.1150.11204070450.43496.393605206501026.152.591.673.333.33951.585901.961333.339333.339333.337.6511.93-0.08-0.28-0.150.0282.8830.063.33110.015.033.336.6716.6714.836.6711.6718.335.533.335.06.671.720.260.631.4720.8820.5111.6720.028.3350.718.085.06.6711.670.0706222.47549833.33692233.33864700.00.0187498.77123933.33186000.0245766.6738.78545.2200.0433.33700.0101.42335.21100.0266.67500.098.448.865.08.3313.3329.8335.4525.033.3340.062.6485.0230.061.67116.6723.86126.9648.3393.33168.33125.2917.223.3310.023.3314.92-0.14-0.32-0.10.08763.65-0.54-0.67-0.67-0.59751.727.613.335.08.331038.084.335.05.05.01038.081.671.671.671.67
90351123078강남구청담동175752.4138.8601.5911201.0111750.650.0505050750.6380.0380380380748.82.51.671.673.33718.24842.111000.03333.339333.333.1157.6-0.12-0.36-0.220.0736.8210.020.040.08.533.333.3310.010.955.08.3313.334.181.673.335.01.040.070.261.041.416.496.6715.023.33120.66.853.336.6710.03.6768774.68573566.67811233.33973466.675.4199006.91135233.33193400.0261866.6750.4476.32133.33300.0633.33153.0220.5266.67133.33266.67108.09.123.338.3315.045.031.0621.6731.6738.33214.227.473.3311.6736.6779.241.2511.6725.048.33248.415.993.338.3321.6741.4-0.22-0.43-0.150.08667.8-0.62-0.67-0.67-0.67707.46.731.673.338.33750.61.671.671.671.67752.40.00.00.00.0
43831112059은평구응암1동2351320.0296.5701.5511202.49123463.9154.5304070418.48525.574605506101267.392.351.671.673.331128.75575.02000.05000.09333.336.887.170.06-0.170.00.2557.720.036.6776.678.193.336.6710.010.815.08.3313.335.583.335.06.676.811.623.779.4650.2221.1511.6725.030.081.37.945.06.6710.04.78682248.24476233.33640300.0909866.674.78191742.55126700.0191766.67253600.055.0560.87200.0466.67766.6790.87341.05133.33266.67466.6795.659.283.3310.015.035.8739.6320.033.3348.3331.09160.2681.67150.0233.3316.74234.23130.0218.33358.3343.0435.7913.3328.3351.679.570.04-0.090.070.23492.61-0.22-0.67-0.280.21198.4814.025.011.6721.671193.262.991.671.675.01269.781.671.671.671.67
41441111076노원구상계3·4동240958.096.7701.4811202.28123411.6658.56305080381.17485.73380520580904.642.31.671.673.33797.916502.653000.09333.339333.337.9620.33-0.01-0.24-0.090.1769.1123.3343.33103.3310.223.336.6710.013.196.6710.016.676.065.05.06.674.850.711.825.6822.8720.8710.023.3330.076.238.075.08.3311.670.0742418.04517700.0718933.33974433.330.0207110.17141666.67210566.67264400.058.45547.55133.33400.0800.0106.73283.18100.0200.0400.030.4910.926.6711.6715.040.6647.1425.038.3358.3348.28133.5356.67108.33193.3325.41204.5398.33190.0305.066.0730.6710.021.6745.017.79-0.04-0.190.010.18467.56-0.33-0.67-0.550.01221.0813.065.010.020.0853.812.281.671.671.67937.671.671.671.671.67
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%
67261118057금천구시흥1동1501731.0221.7801.6411202.56123752.4869.243060100642.43540.634505706801677.462.221.671.673.331493.064862.5666.674000.09333.337.04104.10.03-0.24-0.010.366.9920.043.3390.014.943.336.6716.6717.46.6713.3325.06.033.335.06.674.550.41.655.95124.9225.1415.026.6733.33234.968.395.08.3311.675.95594740.23414733.33527433.33762800.014.87162373.37100533.33154366.67224100.0124.921053.27333.33866.671600.0267.68401.69133.33300.0566.67181.4312.428.3315.016.6795.1853.6333.3343.3363.33223.07118.4438.3386.67178.33127.89143.6541.67103.33213.33249.8431.558.3320.048.3377.33-0.07-0.270.020.241171.85-0.47-0.67-0.67-0.371189.6911.673.338.3318.331659.623.41.673.335.01725.051.671.671.671.67
8061103052용산구용산2가동230606.0209.8701.7211202.53123214.1251.65204070173.72520.37430540620565.62.671.673.333.33444.45816.672333.335333.339333.3315.334.040.04-0.150.010.2355.3320.040.073.3311.053.333.336.6710.816.678.3313.335.393.335.06.6710.02.336.6812.8324.2424.0418.3325.030.044.448.825.08.3311.674.04632152.57456700.0595133.33795366.678.08175811.04111366.67175333.33227000.028.28660.37333.33533.33833.3348.48356.76166.67300.0466.6748.4811.26.6711.6715.024.2432.6415.026.6735.016.16127.2963.33113.33176.6720.2176.5986.67153.33245.020.233.4813.3326.6750.08.080.11-0.010.140.29189.88-0.12-0.670.010.2992.9213.435.010.020.0569.641.851.671.671.67581.761.671.671.671.67
17401105060광진구구의1동220944.0424.4702.1812303.07134403.6255.0204070346.91525.2430540630903.972.081.671.671.67853.947000.03666.679333.339333.336.713.34-0.01-0.18-0.060.1672.0813.3346.67106.6710.223.333.3310.06.263.335.08.334.273.333.335.08.772.274.9213.1813.3421.4715.023.3328.3350.048.945.08.3311.670.0670142.4505600.0679266.67810600.00.0198167.61123766.67183133.33265700.023.35689.49366.67600.0933.3360.04348.05133.33266.67466.6723.3511.598.3313.3315.06.6736.0218.3328.3341.6710.01113.9260.098.33153.3313.34152.7270.0123.33221.6723.3530.7811.6721.6743.333.340.160.030.180.34306.88-0.17-0.67-0.10.24140.113.615.010.020.0917.313.131.673.333.33910.641.671.671.671.67
77631121062관악구인헌동175711.0154.8501.2411101.01111711.00.0000711.00.0000711.00.00.00.00.0702.04000.0333.33666.679333.333.54149.4-0.18-0.45-0.290.0131.256.6716.6740.015.03.333.336.679.323.336.6711.673.551.673.333.330.680.010.120.55158.411.83.338.3316.67279.05.571.673.338.333.6919966.07792500.0990066.671099300.03.6307718.74251933.33328633.33382666.67189.0377.5966.67166.67433.33311.4180.7833.33100.0266.67304.26.811.675.010.0108.029.5520.030.036.67363.628.475.011.6733.33162.034.028.3318.3336.67352.811.963.335.013.3399.0-0.43-0.72-0.36-0.04685.8-0.65-0.67-0.67-0.67698.47.141.671.6711.67711.00.00.00.00.0711.00.00.00.00.0
86281123053강남구논현2동220694.0282.4702.4612302.87134394.3265.052040100305.99575.04470600730671.922.141.671.673.33646.686555.563000.09333.339333.336.820.00.0-0.2-0.040.1576.3520.050.0113.3313.783.336.6713.337.693.336.678.334.513.333.335.09.582.525.8113.849.4619.0711.6720.025.018.939.125.08.3311.673.15667619.48523966.67699000.0838533.333.15156934.5593200.0148166.67211700.018.93592.52266.67500.0833.3334.7345.45166.67266.67433.3318.938.193.336.6711.673.1533.3416.6728.3338.330.0110.3960.0100.0153.333.15154.5178.33133.33210.06.3133.2413.3326.6748.330.00.170.030.210.33164.04-0.06-0.580.080.3188.3315.566.6713.3325.0675.073.061.671.675.0690.851.671.671.671.67
88011123066강남구도곡1동245970.077.4401.7412202.08123519.3756.1204070488.82554.4460570720931.812.421.671.673.33824.885530.71666.676000.09333.333.9411.46-0.04-0.23-0.090.0882.8630.063.33116.6715.193.3310.016.6716.0110.015.020.07.385.06.678.333.450.721.614.0142.0120.5611.6720.028.3361.18.315.08.3311.679.55678983.7479733.33677766.67874066.679.55173595.63120066.67172466.67223766.6747.74612.56200.0400.0800.084.02309.63100.0233.33400.0158.486.753.335.011.6730.5538.2323.3335.046.6736.28122.8350.096.67173.3322.91185.0383.33153.33265.047.7427.698.3318.3340.017.19-0.04-0.20.00.15410.53-0.29-0.67-0.40.13267.3211.795.08.3316.67901.262.781.671.675.0952.811.671.671.671.67
17681105061광진구구의2동2401077.0134.3901.5511202.34123443.4752.58204070393.32522.014605406301026.852.461.671.673.33873.745021.651333.333666.679333.335.6413.20.01-0.22-0.060.2169.1223.3346.6796.6711.693.336.6713.3313.626.6711.6716.676.475.05.08.335.751.133.037.1136.9621.9311.6723.3330.081.838.645.08.3311.677.92680006.67500333.33630033.33880833.3310.56201903.71129500.0197933.33263100.042.24573.72166.67433.33800.092.39341.38133.33266.67466.6765.9910.215.010.015.010.5643.2621.6735.051.6742.24142.2466.67126.67196.6713.2218.47110.0195.0331.6752.7932.9611.6725.046.672.640.01-0.130.060.21472.51-0.25-0.67-0.380.2234.9313.125.010.020.0945.012.51.671.673.331040.041.671.671.671.67
33031109070강북구미아동235793.0212.0401.7412202.79124269.4258.74305070203.33508.79440540590721.832.51.671.673.33599.836017.542000.07666.679333.3310.2630.50.07-0.2-0.020.3662.0120.040.086.676.033.333.336.679.445.08.3311.675.513.335.06.677.591.494.1311.761.021.118.3323.3330.0101.678.045.06.6711.670.0696411.54472800.0697833.33925433.330.0190626.5108833.33179500.0260233.3376.25661.23200.0566.67966.67137.25359.43133.33266.67500.0127.089.673.338.3315.050.8347.8926.6738.3365.055.92162.7870.0150.0253.3335.58220.98101.67196.67345.071.1736.9415.026.6751.6720.330.02-0.120.120.26350.75-0.26-0.67-0.460.17208.4217.518.3313.3331.67711.672.51.671.673.33767.581.671.671.671.67
25601107070중랑구신내2동2401008.085.3801.5111202.22123381.8757.03305070319.95509.65420540610980.482.921.673.333.33863.515007.941666.673666.679333.334.4420.64-0.01-0.26-0.090.1767.3823.3343.3386.6714.043.336.6713.3311.946.6710.015.05.963.335.06.675.70.762.36.4661.9219.6410.021.6728.33103.217.845.06.6710.013.76749882.24560633.33734600.0950400.013.76203313.84149066.67199166.67255933.3386.01486.44133.33400.0700.0113.53284.23100.0200.0366.6768.8110.025.010.015.048.1645.3821.6736.6760.061.92138.7555.0116.67206.6734.4215.4991.67191.67341.6768.8132.3611.6723.3348.3324.08-0.03-0.160.020.17495.4-0.29-0.67-0.670.13264.912.925.010.020.0915.112.591.671.673.33997.681.671.671.671.67
62711117052구로구구로1동155786.049.4501.5811201.95112307.4469.33406090275.54549.77460570670774.41.671.671.671.67678.694396.4666.673333.339333.335.1717.40.11-0.130.040.3972.3923.3350.0103.3314.593.336.6716.6722.6111.6718.3330.06.863.335.06.673.430.611.733.9920.328.8320.028.3336.6749.3110.056.6710.013.332.9513644.32372566.67470633.33631533.332.9128122.9681166.67119000.0160366.6714.51194.99433.33966.671700.052.21482.61166.67366.67700.020.314.5611.6715.018.3320.349.333.3340.055.040.61117.1743.3396.67155.017.4138.1146.6798.33193.3369.6128.638.3318.3340.014.50.01-0.180.080.25545.27-0.49-0.67-0.67-0.39611.988.721.675.010.0765.73.331.673.335.0783.11.671.671.671.67