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

Numeric119
Categorical23
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 (83.0%)Imbalance
야간상주지 변경횟수: 4분위수, 50% is highly imbalanced (53.6%)Imbalance
야간상주지 변경횟수: 4분위수, 75% is highly imbalanced (63.3%)Imbalance
주간상주지 변경횟수: 4분위수, 25% is highly imbalanced (56.0%)Imbalance
평균 문자량: 4분위수, 25% is highly imbalanced (97.5%)Imbalance
넷플릭스 사용일수: 4분위수, 25% is highly skewed (γ1 = 23.51938687)Skewed
평균 출근 소요시간 평균 has 1543 (15.4%) zerosZeros
평균 출근 소요시간: 4분위수, 25% has 1543 (15.4%) zerosZeros
평균 출근 소요시간: 4분위수, 50% has 1543 (15.4%) zerosZeros
평균 출근 소요시간: 4분위수, 75% has 1543 (15.4%) zerosZeros
평균 근무시간 평균 has 1519 (15.2%) zerosZeros
평균 근무시간: 4분위수, 25% has 1519 (15.2%) zerosZeros
평균 근무시간: 4분위수, 50% has 1519 (15.2%) zerosZeros
평균 근무시간: 4분위수, 75% has 1519 (15.2%) zerosZeros
소액결재 사용횟수 평균 has 839 (8.4%) zerosZeros
카카오톡 비사용 인구수 has 385 (3.9%) zerosZeros
SNS 사용횟수 has 312 (3.1%) zerosZeros
SNS 사용횟수: 4분위수, 50% has 259 (2.6%) zerosZeros
데이터 사용량: 4분위수, 25% has 414 (4.1%) zerosZeros
집 추정 위치 평일 총 체류시간 미추정 인구수 has 2271 (22.7%) zerosZeros
집 추정 위치 휴일 총 체류시간 미추정 인구수 has 1261 (12.6%) zerosZeros
쇼핑 서비스 사용 미추정 인구수 has 158 (1.6%) zerosZeros
유튜브 사용 미추정 인구수 has 379 (3.8%) zerosZeros
유튜브 사용일수 has 175 (1.8%) zerosZeros
유튜브 사용일수: 4분위수, 25% has 120 (1.2%) zerosZeros
유튜브 사용일수: 4분위수, 50% has 109 (1.1%) zerosZeros
배달_브랜드 서비스 사용일수 has 1492 (14.9%) zerosZeros

Reproduction

Analysis started2024-05-04 06:58:03.889555
Analysis finished2024-05-04 06:58:11.962197
Duration8.07 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%
Mean1113658.5
Minimum1101053
Maximum1125074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:12.170099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101053
5-th percentile1102058
Q11107070
median1114068
Q31120073
95-th percentile1124079
Maximum1125074
Range24021
Interquartile range (IQR)13003

Descriptive statistics

Standard deviation7397.5503
Coefficient of variation (CV)0.006642566
Kurtosis-1.2489268
Mean1113658.5
Median Absolute Deviation (MAD)6990
Skewness-0.084690653
Sum1.1136585 × 1010
Variance54723750
MonotonicityNot monotonic
2024-05-04T06:58:12.761384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1113073 24
 
0.2%
1123074 24
 
0.2%
1111076 24
 
0.2%
1121082 24
 
0.2%
1119063 24
 
0.2%
1119069 24
 
0.2%
1123076 24
 
0.2%
1114069 24
 
0.2%
1104057 24
 
0.2%
1108078 24
 
0.2%
Other values (414) 9760
97.6%
ValueCountFrequency (%)
1101053 24
0.2%
1101054 24
0.2%
1101055 24
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 24
0.2%
ValueCountFrequency (%)
1125074 23
0.2%
1125073 24
0.2%
1125072 24
0.2%
1125071 24
0.2%
1125070 24
0.2%
1125067 24
0.2%
1125066 24
0.2%
1125065 24
0.2%
1125063 24
0.2%
1125061 23
0.2%

자치구
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송파구
 
637
강남구
 
510
관악구
 
496
성북구
 
473
강서구
 
470
Other values (20)
7414 

Length

Max length4
Median length3
Mean length3.0733
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서대문구
2nd row강북구
3rd row노원구
4th row용산구
5th row동작구

Common Values

ValueCountFrequency (%)
송파구 637
 
6.4%
강남구 510
 
5.1%
관악구 496
 
5.0%
성북구 473
 
4.7%
강서구 470
 
4.7%
노원구 454
 
4.5%
영등포구 429
 
4.3%
양천구 427
 
4.3%
강동구 424
 
4.2%
서초구 423
 
4.2%
Other values (15) 5257
52.6%

Length

2024-05-04T06:58:13.273231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 637
 
6.4%
강남구 510
 
5.1%
관악구 496
 
5.0%
성북구 473
 
4.7%
강서구 470
 
4.7%
노원구 454
 
4.5%
영등포구 429
 
4.3%
양천구 427
 
4.3%
강동구 424
 
4.2%
서초구 423
 
4.2%
Other values (15) 5257
52.6%
Distinct423
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T06:58:14.226668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7941
Min length2

Characters and Unicode

Total characters37941
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 row충현동
2nd row삼양동
3rd row상계5동
4th row이촌2동
5th row상도2동
ValueCountFrequency (%)
신사동 46
 
0.5%
회현동 24
 
0.2%
도봉1동 24
 
0.2%
중계2·3동 24
 
0.2%
삼성동 24
 
0.2%
신길1동 24
 
0.2%
신길7동 24
 
0.2%
세곡동 24
 
0.2%
망원1동 24
 
0.2%
갈현1동 24
 
0.2%
Other values (413) 9738
97.4%
2024-05-04T06:58:15.669743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10047
26.5%
1 2293
 
6.0%
2 2284
 
6.0%
3 1018
 
2.7%
896
 
2.4%
4 612
 
1.6%
548
 
1.4%
422
 
1.1%
406
 
1.1%
398
 
1.0%
Other values (178) 19017
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30828
81.3%
Decimal Number 6898
 
18.2%
Other Punctuation 215
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10047
32.6%
896
 
2.9%
548
 
1.8%
422
 
1.4%
406
 
1.3%
398
 
1.3%
382
 
1.2%
382
 
1.2%
381
 
1.2%
380
 
1.2%
Other values (167) 16586
53.8%
Decimal Number
ValueCountFrequency (%)
1 2293
33.2%
2 2284
33.1%
3 1018
14.8%
4 612
 
8.9%
5 263
 
3.8%
6 165
 
2.4%
7 144
 
2.1%
8 71
 
1.0%
0 24
 
0.3%
9 24
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 215
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30828
81.3%
Common 7113
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10047
32.6%
896
 
2.9%
548
 
1.8%
422
 
1.4%
406
 
1.3%
398
 
1.3%
382
 
1.2%
382
 
1.2%
381
 
1.2%
380
 
1.2%
Other values (167) 16586
53.8%
Common
ValueCountFrequency (%)
1 2293
32.2%
2 2284
32.1%
3 1018
14.3%
4 612
 
8.6%
5 263
 
3.7%
· 215
 
3.0%
6 165
 
2.3%
7 144
 
2.0%
8 71
 
1.0%
0 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30828
81.3%
ASCII 6898
 
18.2%
None 215
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10047
32.6%
896
 
2.9%
548
 
1.8%
422
 
1.4%
406
 
1.3%
398
 
1.3%
382
 
1.2%
382
 
1.2%
381
 
1.2%
380
 
1.2%
Other values (167) 16586
53.8%
ASCII
ValueCountFrequency (%)
1 2293
33.2%
2 2284
33.1%
3 1018
14.8%
4 612
 
8.9%
5 263
 
3.8%
6 165
 
2.4%
7 144
 
2.1%
8 71
 
1.0%
0 24
 
0.3%
9 24
 
0.3%
None
ValueCountFrequency (%)
· 215
100.0%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5002 
2
4998 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5002
50.0%
2 4998
50.0%

Length

2024-05-04T06:58:16.191899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:16.472406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5002
50.0%
2 4998
50.0%

연령대
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.478
Minimum20
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:16.727362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median45
Q361.25
95-th percentile75
Maximum75
Range55
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation17.266422
Coefficient of variation (CV)0.36367206
Kurtosis-1.2167587
Mean47.478
Median Absolute Deviation (MAD)15
Skewness0.0025722632
Sum474780
Variance298.12933
MonotonicityNot monotonic
2024-05-04T06:58:17.389275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
40 837
8.4%
45 837
8.4%
20 836
8.4%
75 835
8.3%
35 834
8.3%
65 834
8.3%
25 834
8.3%
30 833
8.3%
50 831
8.3%
70 831
8.3%
Other values (2) 1658
16.6%
ValueCountFrequency (%)
20 836
8.4%
25 834
8.3%
30 833
8.3%
35 834
8.3%
40 837
8.4%
45 837
8.4%
50 831
8.3%
55 830
8.3%
60 828
8.3%
65 834
8.3%
ValueCountFrequency (%)
75 835
8.3%
70 831
8.3%
65 834
8.3%
60 828
8.3%
55 830
8.3%
50 831
8.3%
45 837
8.4%
40 837
8.4%
35 834
8.3%
30 833
8.3%

총인구수
Real number (ℝ)

Distinct3512
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean813.87932
Minimum22
Maximum4802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:18.005483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile250.5225
Q1511.87
median759
Q31043
95-th percentile1568
Maximum4802
Range4780
Interquartile range (IQR)531.13

Descriptive statistics

Standard deviation417.51092
Coefficient of variation (CV)0.51298873
Kurtosis2.5803865
Mean813.87932
Median Absolute Deviation (MAD)263
Skewness1.0559479
Sum8138793.2
Variance174315.37
MonotonicityNot monotonic
2024-05-04T06:58:18.442014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
763.0 19
 
0.2%
898.0 18
 
0.2%
764.0 17
 
0.2%
742.0 16
 
0.2%
927.0 16
 
0.2%
758.0 16
 
0.2%
751.0 15
 
0.1%
896.0 15
 
0.1%
566.0 15
 
0.1%
735.0 15
 
0.1%
Other values (3502) 9838
98.4%
ValueCountFrequency (%)
22.0 1
< 0.1%
25.2 1
< 0.1%
28.65 1
< 0.1%
28.8 1
< 0.1%
30.0 1
< 0.1%
32.4 2
< 0.1%
33.6 1
< 0.1%
37.2 1
< 0.1%
38.4 1
< 0.1%
39.0 1
< 0.1%
ValueCountFrequency (%)
4802.0 1
< 0.1%
3612.0 1
< 0.1%
3137.0 1
< 0.1%
3133.0 1
< 0.1%
3110.0 1
< 0.1%
3044.0 1
< 0.1%
3020.0 1
< 0.1%
2964.0 1
< 0.1%
2958.0 1
< 0.1%
2942.0 1
< 0.1%

1인가구수
Real number (ℝ)

Distinct8105
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.71649
Minimum6.39
Maximum2856.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:18.896902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.39
5-th percentile32.26
Q168.07
median109.985
Q3178.29
95-th percentile406.5335
Maximum2856.67
Range2850.28
Interquartile range (IQR)110.22

Descriptive statistics

Standard deviation167.41318
Coefficient of variation (CV)1.0891036
Kurtosis46.026646
Mean153.71649
Median Absolute Deviation (MAD)49.91
Skewness5.2401671
Sum1537164.9
Variance28027.171
MonotonicityNot monotonic
2024-05-04T06:58:19.520227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.94 6
 
0.1%
103.53 6
 
0.1%
78.94 5
 
0.1%
77.97 5
 
0.1%
62.76 5
 
0.1%
49.07 5
 
0.1%
89.79 5
 
0.1%
55.5 5
 
0.1%
116.68 4
 
< 0.1%
56.02 4
 
< 0.1%
Other values (8095) 9950
99.5%
ValueCountFrequency (%)
6.39 1
< 0.1%
6.85 1
< 0.1%
6.89 1
< 0.1%
8.11 1
< 0.1%
8.24 1
< 0.1%
8.53 1
< 0.1%
9.2 1
< 0.1%
9.59 1
< 0.1%
9.99 1
< 0.1%
10.07 1
< 0.1%
ValueCountFrequency (%)
2856.67 1
< 0.1%
2829.98 1
< 0.1%
2433.48 1
< 0.1%
2294.68 1
< 0.1%
2284.08 1
< 0.1%
2245.37 1
< 0.1%
2130.81 1
< 0.1%
1916.93 1
< 0.1%
1916.24 1
< 0.1%
1872.77 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-05-04T06:58:20.138176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:20.463318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct192
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671185
Minimum1
Maximum3.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:20.794419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.34
Q11.47
median1.6
Q31.8
95-th percentile2.24
Maximum3.49
Range2.49
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.28632957
Coefficient of variation (CV)0.17133326
Kurtosis2.7233758
Mean1.671185
Median Absolute Deviation (MAD)0.155
Skewness1.4286272
Sum16711.85
Variance0.081984624
MonotonicityNot monotonic
2024-05-04T06:58:21.296072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.52 221
 
2.2%
1.48 217
 
2.2%
1.47 208
 
2.1%
1.53 203
 
2.0%
1.42 199
 
2.0%
1.58 198
 
2.0%
1.6 197
 
2.0%
1.44 192
 
1.9%
1.49 189
 
1.9%
1.55 189
 
1.9%
Other values (182) 7987
79.9%
ValueCountFrequency (%)
1.0 4
< 0.1%
1.1 1
 
< 0.1%
1.13 1
 
< 0.1%
1.14 2
 
< 0.1%
1.15 1
 
< 0.1%
1.17 1
 
< 0.1%
1.19 4
< 0.1%
1.2 3
< 0.1%
1.21 7
0.1%
1.22 2
 
< 0.1%
ValueCountFrequency (%)
3.49 1
< 0.1%
3.38 1
< 0.1%
3.29 1
< 0.1%
3.16 1
< 0.1%
3.12 1
< 0.1%
3.11 1
< 0.1%
3.06 1
< 0.1%
3.05 1
< 0.1%
3.04 2
< 0.1%
2.98 2
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9747 
2
 
253

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 9747
97.5%
2 253
 
2.5%

Length

2024-05-04T06:58:21.851308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:22.200238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9747
97.5%
2 253
 
2.5%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7098 
2
2812 
3
 
89
4
 
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 row1

Common Values

ValueCountFrequency (%)
1 7098
71.0%
2 2812
 
28.1%
3 89
 
0.9%
4 1
 
< 0.1%

Length

2024-05-04T06:58:22.522933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:22.886618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7098
71.0%
2 2812
 
28.1%
3 89
 
0.9%
4 1
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8229 
3
1287 
1
 
417
4
 
66
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 8229
82.3%
3 1287
 
12.9%
1 417
 
4.2%
4 66
 
0.7%
5 1
 
< 0.1%

Length

2024-05-04T06:58:23.187922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:23.466895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8229
82.3%
3 1287
 
12.9%
1 417
 
4.2%
4 66
 
0.7%
5 1
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-05-04T06:58:23.698762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:23.953325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%
Distinct322
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.333704
Minimum1
Maximum4.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:24.310695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.01
Q12.11
median2.38
Q32.68
95-th percentile3.5
Maximum4.94
Range3.94
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation0.71240131
Coefficient of variation (CV)0.30526636
Kurtosis0.24420885
Mean2.333704
Median Absolute Deviation (MAD)0.28
Skewness-0.11332619
Sum23337.04
Variance0.50751563
MonotonicityNot monotonic
2024-05-04T06:58:24.862807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 465
 
4.7%
1.01 237
 
2.4%
2.41 132
 
1.3%
2.33 129
 
1.3%
2.32 122
 
1.2%
2.38 120
 
1.2%
2.4 118
 
1.2%
2.42 117
 
1.2%
2.47 113
 
1.1%
2.36 112
 
1.1%
Other values (312) 8335
83.4%
ValueCountFrequency (%)
1.0 465
4.7%
1.01 237
2.4%
1.02 98
 
1.0%
1.03 28
 
0.3%
1.04 9
 
0.1%
1.05 4
 
< 0.1%
1.06 10
 
0.1%
1.07 5
 
0.1%
1.08 10
 
0.1%
1.09 14
 
0.1%
ValueCountFrequency (%)
4.94 1
< 0.1%
4.83 1
< 0.1%
4.75 1
< 0.1%
4.67 2
< 0.1%
4.57 1
< 0.1%
4.54 1
< 0.1%
4.48 1
< 0.1%
4.47 1
< 0.1%
4.46 1
< 0.1%
4.44 2
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8324 
2
1598 
3
 
78

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 8324
83.2%
2 1598
 
16.0%
3 78
 
0.8%

Length

2024-05-04T06:58:25.383769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:25.708388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8324
83.2%
2 1598
 
16.0%
3 78
 
0.8%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6245 
1
2069 
3
1393 
4
 
290
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6245
62.5%
1 2069
 
20.7%
3 1393
 
13.9%
4 290
 
2.9%
5 3
 
< 0.1%

Length

2024-05-04T06:58:26.014797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:26.378552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6245
62.5%
1 2069
 
20.7%
3 1393
 
13.9%
4 290
 
2.9%
5 3
 
< 0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9512
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:26.794624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.096968
Coefficient of variation (CV)0.37170237
Kurtosis0.13696664
Mean2.9512
Median Absolute Deviation (MAD)0
Skewness-0.22622475
Sum29512
Variance1.2033389
MonotonicityNot monotonic
2024-05-04T06:58:27.156219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 5390
53.9%
4 1880
 
18.8%
1 1667
 
16.7%
5 541
 
5.4%
2 421
 
4.2%
6 99
 
1.0%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 1667
 
16.7%
2 421
 
4.2%
3 5390
53.9%
4 1880
 
18.8%
5 541
 
5.4%
6 99
 
1.0%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 99
 
1.0%
5 541
 
5.4%
4 1880
 
18.8%
3 5390
53.9%
2 421
 
4.2%
1 1667
 
16.7%
Distinct9045
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.56704
Minimum0
Maximum2777.78
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:27.530609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120.4975
Q1237.8125
median334.62
Q3455.98
95-th percentile717.7255
Maximum2777.78
Range2777.78
Interquartile range (IQR)218.1675

Descriptive statistics

Standard deviation193.22577
Coefficient of variation (CV)0.52712259
Kurtosis6.2733506
Mean366.56704
Median Absolute Deviation (MAD)107.185
Skewness1.5908004
Sum3665670.4
Variance37336.198
MonotonicityNot monotonic
2024-05-04T06:58:28.117847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283.2 7
 
0.1%
114.0 6
 
0.1%
94.0 6
 
0.1%
312.0 5
 
0.1%
64.8 5
 
0.1%
265.2 5
 
0.1%
118.8 5
 
0.1%
38.4 5
 
0.1%
330.0 4
 
< 0.1%
290.07 4
 
< 0.1%
Other values (9035) 9948
99.5%
ValueCountFrequency (%)
0.0 1
< 0.1%
7.33 1
< 0.1%
16.33 1
< 0.1%
16.71 1
< 0.1%
16.8 2
< 0.1%
18.0 2
< 0.1%
18.49 1
< 0.1%
20.92 1
< 0.1%
21.6 2
< 0.1%
22.45 1
< 0.1%
ValueCountFrequency (%)
2777.78 1
< 0.1%
1852.86 1
< 0.1%
1707.26 1
< 0.1%
1695.92 1
< 0.1%
1581.88 1
< 0.1%
1522.74 1
< 0.1%
1496.43 1
< 0.1%
1479.78 1
< 0.1%
1474.74 1
< 0.1%
1448.49 1
< 0.1%

평균 출근 소요시간 평균
Real number (ℝ)

ZEROS 

Distinct2912
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.556381
Minimum0
Maximum170
Zeros1543
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:28.666053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151.4175
median58.42
Q364.96
95-th percentile73.97
Maximum170
Range170
Interquartile range (IQR)13.5425

Descriptive statistics

Standard deviation23.899458
Coefficient of variation (CV)0.46355965
Kurtosis1.6097577
Mean51.556381
Median Absolute Deviation (MAD)6.73
Skewness-1.1561545
Sum515563.81
Variance571.18409
MonotonicityNot monotonic
2024-05-04T06:58:29.271946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1543
 
15.4%
50.0 34
 
0.3%
60.0 29
 
0.3%
70.0 19
 
0.2%
10.0 18
 
0.2%
65.0 18
 
0.2%
170.0 15
 
0.1%
20.0 15
 
0.1%
58.24 13
 
0.1%
56.35 11
 
0.1%
Other values (2902) 8285
82.8%
ValueCountFrequency (%)
0.0 1543
15.4%
10.0 18
 
0.2%
20.0 15
 
0.1%
25.0 1
 
< 0.1%
30.0 11
 
0.1%
35.67 1
 
< 0.1%
38.04 1
 
< 0.1%
40.0 11
 
0.1%
40.45 1
 
< 0.1%
40.54 1
 
< 0.1%
ValueCountFrequency (%)
170.0 15
0.1%
160.0 1
 
< 0.1%
140.0 3
 
< 0.1%
135.0 2
 
< 0.1%
130.0 1
 
< 0.1%
120.0 2
 
< 0.1%
110.0 1
 
< 0.1%
106.67 1
 
< 0.1%
105.08 1
 
< 0.1%
105.0 1
 
< 0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.032
Minimum0
Maximum170
Zeros1543
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:30.115365image/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 deviation13.591374
Coefficient of variation (CV)0.59010829
Kurtosis24.205243
Mean23.032
Median Absolute Deviation (MAD)10
Skewness2.1007176
Sum230320
Variance184.72545
MonotonicityNot monotonic
2024-05-04T06:58:30.613435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
30 4074
40.7%
20 3487
34.9%
0 1543
 
15.4%
40 685
 
6.9%
50 77
 
0.8%
10 75
 
0.8%
170 15
 
0.1%
60 12
 
0.1%
70 8
 
0.1%
90 6
 
0.1%
Other values (7) 18
 
0.2%
ValueCountFrequency (%)
0 1543
 
15.4%
10 75
 
0.8%
20 3487
34.9%
30 4074
40.7%
40 685
 
6.9%
50 77
 
0.8%
60 12
 
0.1%
70 8
 
0.1%
80 4
 
< 0.1%
90 6
 
0.1%
ValueCountFrequency (%)
170 15
0.1%
160 1
 
< 0.1%
140 3
 
< 0.1%
130 1
 
< 0.1%
120 2
 
< 0.1%
110 2
 
< 0.1%
100 5
 
0.1%
90 6
 
0.1%
80 4
 
< 0.1%
70 8
0.1%
Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.338
Minimum0
Maximum170
Zeros1543
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:31.043506image/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 deviation20.080988
Coefficient of variation (CV)0.49781814
Kurtosis3.1586431
Mean40.338
Median Absolute Deviation (MAD)10
Skewness-0.45198532
Sum403380
Variance403.24608
MonotonicityNot monotonic
2024-05-04T06:58:31.454153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
50 3325
33.2%
40 3125
31.2%
0 1543
15.4%
60 1259
 
12.6%
30 402
 
4.0%
70 215
 
2.1%
80 37
 
0.4%
20 31
 
0.3%
10 19
 
0.2%
170 16
 
0.2%
Other values (7) 28
 
0.3%
ValueCountFrequency (%)
0 1543
15.4%
10 19
 
0.2%
20 31
 
0.3%
30 402
 
4.0%
40 3125
31.2%
50 3325
33.2%
60 1259
 
12.6%
70 215
 
2.1%
80 37
 
0.4%
90 11
 
0.1%
ValueCountFrequency (%)
170 16
 
0.2%
160 1
 
< 0.1%
140 3
 
< 0.1%
130 1
 
< 0.1%
120 3
 
< 0.1%
110 3
 
< 0.1%
100 6
 
0.1%
90 11
 
0.1%
80 37
 
0.4%
70 215
2.1%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.136
Minimum0
Maximum170
Zeros1543
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:31.984574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170
median80
Q390
95-th percentile110
Maximum170
Range170
Interquartile range (IQR)20

Descriptive statistics

Standard deviation33.210598
Coefficient of variation (CV)0.4803662
Kurtosis0.59909628
Mean69.136
Median Absolute Deviation (MAD)10
Skewness-1.0230369
Sum691360
Variance1102.9438
MonotonicityNot monotonic
2024-05-04T06:58:32.360239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
80 2339
23.4%
70 2054
20.5%
90 1677
16.8%
0 1543
15.4%
100 927
 
9.3%
60 792
 
7.9%
110 295
 
2.9%
120 107
 
1.1%
50 76
 
0.8%
130 57
 
0.6%
Other values (8) 133
 
1.3%
ValueCountFrequency (%)
0 1543
15.4%
10 18
 
0.2%
20 15
 
0.1%
30 11
 
0.1%
40 16
 
0.2%
50 76
 
0.8%
60 792
 
7.9%
70 2054
20.5%
80 2339
23.4%
90 1677
16.8%
ValueCountFrequency (%)
170 28
 
0.3%
160 10
 
0.1%
150 10
 
0.1%
140 25
 
0.2%
130 57
 
0.6%
120 107
 
1.1%
110 295
 
2.9%
100 927
 
9.3%
90 1677
16.8%
80 2339
23.4%
Distinct8943
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.52794
Minimum0
Maximum2450.37
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:32.843663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104.4
Q1209.8675
median298.5
Q3414.75
95-th percentile664.936
Maximum2450.37
Range2450.37
Interquartile range (IQR)204.8825

Descriptive statistics

Standard deviation182.32941
Coefficient of variation (CV)0.54996696
Kurtosis6.0638069
Mean331.52794
Median Absolute Deviation (MAD)98.56
Skewness1.6498929
Sum3315279.4
Variance33244.015
MonotonicityNot monotonic
2024-05-04T06:58:33.366438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
351.6 6
 
0.1%
324.0 6
 
0.1%
266.4 5
 
0.1%
298.8 5
 
0.1%
292.8 5
 
0.1%
28.8 5
 
0.1%
265.2 5
 
0.1%
70.8 4
 
< 0.1%
228.0 4
 
< 0.1%
263.87 4
 
< 0.1%
Other values (8933) 9951
99.5%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
3.67 1
 
< 0.1%
8.17 1
 
< 0.1%
11.14 1
 
< 0.1%
11.23 1
 
< 0.1%
12.06 1
 
< 0.1%
13.45 1
 
< 0.1%
14.4 2
< 0.1%
15.46 1
 
< 0.1%
15.6 3
< 0.1%
ValueCountFrequency (%)
2450.37 1
< 0.1%
1852.86 1
< 0.1%
1581.88 1
< 0.1%
1477.34 1
< 0.1%
1448.49 1
< 0.1%
1436.77 1
< 0.1%
1435.49 1
< 0.1%
1425.98 1
< 0.1%
1422.55 1
< 0.1%
1411.02 1
< 0.1%

평균 근무시간 평균
Real number (ℝ)

ZEROS 

Distinct5821
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean438.25238
Minimum0
Maximum700
Zeros1519
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:33.835971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1479.5175
median512.695
Q3537.6625
95-th percentile559.671
Maximum700
Range700
Interquartile range (IQR)58.145

Descriptive statistics

Standard deviation189.89427
Coefficient of variation (CV)0.43329889
Kurtosis1.418991
Mean438.25238
Median Absolute Deviation (MAD)27.435
Skewness-1.7902033
Sum4382523.8
Variance36059.834
MonotonicityNot monotonic
2024-05-04T06:58:34.418546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1519
 
15.2%
700.0 42
 
0.4%
540.0 14
 
0.1%
490.0 9
 
0.1%
530.0 8
 
0.1%
40.0 8
 
0.1%
480.0 7
 
0.1%
551.67 6
 
0.1%
514.75 6
 
0.1%
550.0 6
 
0.1%
Other values (5811) 8375
83.8%
ValueCountFrequency (%)
0.0 1519
15.2%
30.0 3
 
< 0.1%
40.0 8
 
0.1%
60.0 2
 
< 0.1%
70.0 1
 
< 0.1%
80.0 2
 
< 0.1%
90.0 2
 
< 0.1%
100.0 4
 
< 0.1%
110.0 1
 
< 0.1%
120.0 1
 
< 0.1%
ValueCountFrequency (%)
700.0 42
0.4%
680.0 1
 
< 0.1%
670.0 3
 
< 0.1%
643.33 1
 
< 0.1%
640.0 2
 
< 0.1%
637.75 1
 
< 0.1%
637.5 1
 
< 0.1%
637.49 1
 
< 0.1%
630.0 1
 
< 0.1%
628.46 1
 
< 0.1%

평균 근무시간: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.871
Minimum0
Maximum700
Zeros1519
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:35.082277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1340
median420
Q3470
95-th percentile510
Maximum700
Range700
Interquartile range (IQR)130

Descriptive statistics

Standard deviation166.4265
Coefficient of variation (CV)0.46118004
Kurtosis0.61197874
Mean360.871
Median Absolute Deviation (MAD)60
Skewness-1.3632223
Sum3608710
Variance27697.781
MonotonicityNot monotonic
2024-05-04T06:58:35.660558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1519
 
15.2%
480 598
 
6.0%
490 594
 
5.9%
470 574
 
5.7%
460 562
 
5.6%
500 502
 
5.0%
450 474
 
4.7%
440 450
 
4.5%
430 449
 
4.5%
420 430
 
4.3%
Other values (55) 3848
38.5%
ValueCountFrequency (%)
0 1519
15.2%
30 3
 
< 0.1%
40 8
 
0.1%
50 1
 
< 0.1%
60 2
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 2
 
< 0.1%
100 4
 
< 0.1%
110 1
 
< 0.1%
ValueCountFrequency (%)
700 42
0.4%
680 1
 
< 0.1%
670 3
 
< 0.1%
640 2
 
< 0.1%
630 2
 
< 0.1%
620 4
 
< 0.1%
610 2
 
< 0.1%
600 2
 
< 0.1%
590 3
 
< 0.1%
580 6
 
0.1%

평균 근무시간: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.064
Minimum0
Maximum700
Zeros1519
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:36.167711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1510
median550
Q3570
95-th percentile590
Maximum700
Range700
Interquartile range (IQR)60

Descriptive statistics

Standard deviation201.43506
Coefficient of variation (CV)0.4340674
Kurtosis1.3899434
Mean464.064
Median Absolute Deviation (MAD)20
Skewness-1.7819893
Sum4640640
Variance40576.082
MonotonicityNot monotonic
2024-05-04T06:58:36.709939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1519
15.2%
560 1453
14.5%
550 1255
12.6%
570 1217
12.2%
540 953
9.5%
580 718
7.2%
530 673
6.7%
520 432
 
4.3%
510 328
 
3.3%
590 270
 
2.7%
Other values (51) 1182
11.8%
ValueCountFrequency (%)
0 1519
15.2%
30 3
 
< 0.1%
40 8
 
0.1%
60 2
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 2
 
< 0.1%
100 4
 
< 0.1%
110 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
700 82
0.8%
690 4
 
< 0.1%
680 10
 
0.1%
670 17
 
0.2%
660 10
 
0.1%
650 8
 
0.1%
640 15
 
0.1%
630 24
 
0.2%
620 44
0.4%
610 54
0.5%

평균 근무시간: 4분위수, 75%
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean552.732
Minimum0
Maximum700
Zeros1519
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:37.308797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1610
median650
Q3680
95-th percentile700
Maximum700
Range700
Interquartile range (IQR)70

Descriptive statistics

Standard deviation239.17027
Coefficient of variation (CV)0.43270566
Kurtosis1.4361303
Mean552.732
Median Absolute Deviation (MAD)40
Skewness-1.8133651
Sum5527320
Variance57202.416
MonotonicityNot monotonic
2024-05-04T06:58:38.001369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700 2039
20.4%
0 1519
15.2%
650 798
 
8.0%
640 733
 
7.3%
660 715
 
7.1%
620 645
 
6.5%
630 643
 
6.4%
670 611
 
6.1%
610 605
 
6.0%
680 513
 
5.1%
Other values (49) 1179
11.8%
ValueCountFrequency (%)
0 1519
15.2%
30 3
 
< 0.1%
40 8
 
0.1%
60 2
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 2
 
< 0.1%
100 4
 
< 0.1%
110 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
700 2039
20.4%
690 363
 
3.6%
680 513
 
5.1%
670 611
 
6.1%
660 715
 
7.1%
650 798
 
8.0%
640 733
 
7.3%
630 643
 
6.4%
620 645
 
6.5%
610 605
 
6.0%
Distinct9495
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.87736
Minimum22
Maximum4664.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:38.646290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile247.193
Q1500.59
median732.595
Q31005.605
95-th percentile1507.9785
Maximum4664.28
Range4642.28
Interquartile range (IQR)505.015

Descriptive statistics

Standard deviation398.53918
Coefficient of variation (CV)0.50712642
Kurtosis2.6302023
Mean785.87736
Median Absolute Deviation (MAD)249.08
Skewness1.0531971
Sum7858773.6
Variance158833.47
MonotonicityNot monotonic
2024-05-04T06:58:39.187430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352.8 6
 
0.1%
264.0 5
 
0.1%
553.2 5
 
0.1%
450.0 5
 
0.1%
342.0 5
 
0.1%
780.0 4
 
< 0.1%
349.2 4
 
< 0.1%
480.0 4
 
< 0.1%
724.8 4
 
< 0.1%
399.6 4
 
< 0.1%
Other values (9485) 9954
99.5%
ValueCountFrequency (%)
22.0 1
< 0.1%
24.0 1
< 0.1%
27.6 1
< 0.1%
28.65 1
< 0.1%
28.8 1
< 0.1%
31.2 1
< 0.1%
32.4 1
< 0.1%
33.6 1
< 0.1%
37.2 1
< 0.1%
38.4 1
< 0.1%
ValueCountFrequency (%)
4664.28 1
< 0.1%
3541.84 1
< 0.1%
3070.26 1
< 0.1%
2892.35 1
< 0.1%
2876.61 1
< 0.1%
2819.19 1
< 0.1%
2817.9 1
< 0.1%
2815.35 1
< 0.1%
2798.12 1
< 0.1%
2789.45 1
< 0.1%

소액결재 사용횟수 평균
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.216199
Minimum0
Maximum3.33
Zeros839
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:39.778932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.08
median2.41
Q32.59
95-th percentile3.33
Maximum3.33
Range3.33
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation0.77369203
Coefficient of variation (CV)0.34910765
Kurtosis2.9940873
Mean2.216199
Median Absolute Deviation (MAD)0.24
Skewness-1.7433997
Sum22161.99
Variance0.59859936
MonotonicityNot monotonic
2024-05-04T06:58:40.543274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 1207
 
12.1%
1.67 946
 
9.5%
0.0 839
 
8.4%
3.33 579
 
5.8%
2.22 561
 
5.6%
2.78 379
 
3.8%
2.33 337
 
3.4%
2.08 296
 
3.0%
2.67 244
 
2.4%
2.38 205
 
2.1%
Other values (116) 4407
44.1%
ValueCountFrequency (%)
0.0 839
8.4%
1.67 946
9.5%
1.77 1
 
< 0.1%
1.79 4
 
< 0.1%
1.81 2
 
< 0.1%
1.82 5
 
0.1%
1.83 9
 
0.1%
1.85 14
 
0.1%
1.86 1
 
< 0.1%
1.88 32
 
0.3%
ValueCountFrequency (%)
3.33 579
5.8%
3.23 1
 
< 0.1%
3.17 1
 
< 0.1%
3.15 8
 
0.1%
3.13 8
 
0.1%
3.12 1
 
< 0.1%
3.11 1
 
< 0.1%
3.1 22
 
0.2%
3.08 3
 
< 0.1%
3.06 27
 
0.3%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8404 
0.0
 
839
3.33
 
757

Length

Max length4
Median length4
Mean length3.9161
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8404
84.0%
0.0 839
 
8.4%
3.33 757
 
7.6%

Length

2024-05-04T06:58:41.028669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:41.318882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8404
84.0%
0.0 839
 
8.4%
3.33 757
 
7.6%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6040 
3.33
3121 
0.0
839 

Length

Max length4
Median length4
Mean length3.9161
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 6040
60.4%
3.33 3121
31.2%
0.0 839
 
8.4%

Length

2024-05-04T06:58:41.643181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:42.072211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6040
60.4%
3.33 3121
31.2%
0.0 839
 
8.4%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
7433 
1.67
1728 
0.0
839 

Length

Max length4
Median length4
Mean length3.9161
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 7433
74.3%
1.67 1728
 
17.3%
0.0 839
 
8.4%

Length

2024-05-04T06:58:42.422880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:58:42.733145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 7433
74.3%
1.67 1728
 
17.3%
0.0 839
 
8.4%
Distinct9406
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673.22341
Minimum19.56
Maximum4261.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:43.140761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.56
5-th percentile223.2
Q1442.17
median631.665
Q3852.88
95-th percentile1264.453
Maximum4261.52
Range4241.96
Interquartile range (IQR)410.71

Descriptive statistics

Standard deviation329.85203
Coefficient of variation (CV)0.48995924
Kurtosis3.5264997
Mean673.22341
Median Absolute Deviation (MAD)202.885
Skewness1.1181674
Sum6732234.1
Variance108802.36
MonotonicityNot monotonic
2024-05-04T06:58:43.502491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312.0 5
 
0.1%
279.6 5
 
0.1%
256.8 4
 
< 0.1%
282.0 4
 
< 0.1%
206.4 4
 
< 0.1%
322.8 4
 
< 0.1%
148.8 4
 
< 0.1%
540.0 4
 
< 0.1%
258.0 3
 
< 0.1%
706.8 3
 
< 0.1%
Other values (9396) 9960
99.6%
ValueCountFrequency (%)
19.56 1
< 0.1%
22.8 1
< 0.1%
24.0 1
< 0.1%
25.2 1
< 0.1%
26.86 1
< 0.1%
27.6 1
< 0.1%
30.0 1
< 0.1%
33.6 2
< 0.1%
34.82 1
< 0.1%
37.2 1
< 0.1%
ValueCountFrequency (%)
4261.52 1
< 0.1%
3287.82 1
< 0.1%
2792.74 1
< 0.1%
2703.52 1
< 0.1%
2635.83 1
< 0.1%
2472.59 1
< 0.1%
2425.57 1
< 0.1%
2424.18 1
< 0.1%
2396.98 1
< 0.1%
2373.94 1
< 0.1%
Distinct6689
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5900.7348
Minimum0
Maximum11666.67
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:43.905099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3666.67
Q15176.665
median5935.335
Q36672.99
95-th percentile7950.049
Maximum11666.67
Range11666.67
Interquartile range (IQR)1496.325

Descriptive statistics

Standard deviation1407.1675
Coefficient of variation (CV)0.23847327
Kurtosis2.9744296
Mean5900.7348
Median Absolute Deviation (MAD)747.995
Skewness-0.21182777
Sum59007348
Variance1980120.5
MonotonicityNot monotonic
2024-05-04T06:58:44.349373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000.0 63
 
0.6%
11666.67 44
 
0.4%
5666.67 41
 
0.4%
5333.33 40
 
0.4%
5000.0 33
 
0.3%
6666.67 31
 
0.3%
4666.67 31
 
0.3%
0.0 26
 
0.3%
7333.33 25
 
0.2%
6333.33 24
 
0.2%
Other values (6679) 9642
96.4%
ValueCountFrequency (%)
0.0 26
0.3%
333.33 24
0.2%
416.67 1
 
< 0.1%
500.0 3
 
< 0.1%
600.0 1
 
< 0.1%
666.67 6
 
0.1%
750.0 1
 
< 0.1%
777.78 2
 
< 0.1%
833.33 1
 
< 0.1%
888.89 1
 
< 0.1%
ValueCountFrequency (%)
11666.67 44
0.4%
11583.33 1
 
< 0.1%
11500.0 1
 
< 0.1%
11333.33 3
 
< 0.1%
11250.0 1
 
< 0.1%
11222.22 1
 
< 0.1%
11200.0 1
 
< 0.1%
11190.48 1
 
< 0.1%
11166.67 1
 
< 0.1%
11000.0 1
 
< 0.1%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1577.4996
Minimum0
Maximum11666.67
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:44.724285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1407.0985
Coefficient of variation (CV)0.89198029
Kurtosis24.694249
Mean1577.4996
Median Absolute Deviation (MAD)666.66
Skewness4.2044731
Sum15774996
Variance1979926.3
MonotonicityNot monotonic
2024-05-04T06:58:45.212176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1333.33 2274
22.7%
1666.67 1309
13.1%
333.33 1287
12.9%
666.67 1259
12.6%
1000.0 1164
11.6%
2000.0 926
9.3%
2333.33 638
 
6.4%
2666.67 372
 
3.7%
3333.33 161
 
1.6%
3000.0 152
 
1.5%
Other values (26) 458
 
4.6%
ValueCountFrequency (%)
0.0 26
 
0.3%
333.33 1287
12.9%
666.67 1259
12.6%
1000.0 1164
11.6%
1333.33 2274
22.7%
1666.67 1309
13.1%
2000.0 926
9.3%
2333.33 638
 
6.4%
2666.67 372
 
3.7%
3000.0 152
 
1.5%
ValueCountFrequency (%)
11666.67 80
0.8%
11333.33 2
 
< 0.1%
11000.0 3
 
< 0.1%
10666.67 3
 
< 0.1%
10333.33 5
 
0.1%
10000.0 4
 
< 0.1%
9666.67 5
 
0.1%
9333.33 2
 
< 0.1%
9000.0 2
 
< 0.1%
8666.67 10
 
0.1%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5020.767
Minimum0
Maximum11666.67
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:45.527346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1333.33
Q13333.33
median4333.33
Q36333.33
95-th percentile11666.67
Maximum11666.67
Range11666.67
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation2901.4638
Coefficient of variation (CV)0.57789254
Kurtosis0.17422329
Mean5020.767
Median Absolute Deviation (MAD)1333.34
Skewness0.90803337
Sum50207670
Variance8418492.1
MonotonicityNot monotonic
2024-05-04T06:58:45.983819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3666.67 1005
 
10.1%
3333.33 773
 
7.7%
11666.67 768
 
7.7%
4333.33 603
 
6.0%
4000.0 540
 
5.4%
4666.67 517
 
5.2%
2666.67 445
 
4.5%
5000.0 439
 
4.4%
5666.67 433
 
4.3%
3000.0 418
 
4.2%
Other values (26) 4059
40.6%
ValueCountFrequency (%)
0.0 26
 
0.3%
333.33 159
 
1.6%
666.67 155
 
1.6%
1000.0 109
 
1.1%
1333.33 256
2.6%
1666.67 233
2.3%
2000.0 272
2.7%
2333.33 384
3.8%
2666.67 445
4.5%
3000.0 418
4.2%
ValueCountFrequency (%)
11666.67 768
7.7%
11333.33 41
 
0.4%
11000.0 63
 
0.6%
10666.67 56
 
0.6%
10333.33 49
 
0.5%
10000.0 65
 
0.7%
9666.67 69
 
0.7%
9333.33 66
 
0.7%
9000.0 98
 
1.0%
8666.67 127
 
1.3%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10672.203
Minimum0
Maximum11666.67
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:46.605243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2353.3134
Coefficient of variation (CV)0.22050869
Kurtosis5.9766175
Mean10672.203
Median Absolute Deviation (MAD)0
Skewness-2.5818436
Sum1.0672203 × 108
Variance5538083.9
MonotonicityNot monotonic
2024-05-04T06:58:46.980045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
11666.67 7786
77.9%
11000.0 139
 
1.4%
8666.67 117
 
1.2%
10666.67 109
 
1.1%
10000.0 107
 
1.1%
7333.33 99
 
1.0%
9666.67 96
 
1.0%
11333.33 96
 
1.0%
9000.0 91
 
0.9%
10333.33 91
 
0.9%
Other values (26) 1269
 
12.7%
ValueCountFrequency (%)
0.0 26
0.3%
333.33 27
0.3%
666.67 19
0.2%
1000.0 13
 
0.1%
1333.33 32
0.3%
1666.67 22
0.2%
2000.0 26
0.3%
2333.33 34
0.3%
2666.67 42
0.4%
3000.0 27
0.3%
ValueCountFrequency (%)
11666.67 7786
77.9%
11333.33 96
 
1.0%
11000.0 139
 
1.4%
10666.67 109
 
1.1%
10333.33 91
 
0.9%
10000.0 107
 
1.1%
9666.67 96
 
1.0%
9333.33 73
 
0.7%
9000.0 91
 
0.9%
8666.67 117
 
1.2%
Distinct2112
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.576627
Minimum0
Maximum40
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:47.383444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.97
Q19.5275
median13.805
Q317.46
95-th percentile21.83
Maximum40
Range40
Interquartile range (IQR)7.9325

Descriptive statistics

Standard deviation5.269346
Coefficient of variation (CV)0.38811894
Kurtosis-0.60101724
Mean13.576627
Median Absolute Deviation (MAD)3.915
Skewness0.0079100806
Sum135766.27
Variance27.766008
MonotonicityNot monotonic
2024-05-04T06:58:48.171843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.29 40
 
0.4%
20.0 39
 
0.4%
16.67 34
 
0.3%
12.5 31
 
0.3%
11.11 28
 
0.3%
10.0 23
 
0.2%
7.69 19
 
0.2%
9.09 19
 
0.2%
15.38 18
 
0.2%
8.33 18
 
0.2%
Other values (2102) 9731
97.3%
ValueCountFrequency (%)
0.0 13
0.1%
0.71 1
 
< 0.1%
0.92 1
 
< 0.1%
0.99 1
 
< 0.1%
1.07 1
 
< 0.1%
1.26 1
 
< 0.1%
1.41 1
 
< 0.1%
1.43 1
 
< 0.1%
1.58 1
 
< 0.1%
1.61 1
 
< 0.1%
ValueCountFrequency (%)
40.0 1
 
< 0.1%
33.33 1
 
< 0.1%
30.28 1
 
< 0.1%
29.81 1
 
< 0.1%
29.46 1
 
< 0.1%
29.36 1
 
< 0.1%
28.77 2
< 0.1%
28.57 4
< 0.1%
28.31 1
 
< 0.1%
28.0 1
 
< 0.1%

카카오톡 비사용 인구수
Real number (ℝ)

ZEROS 

Distinct5372
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.065423
Minimum0
Maximum621.57
Zeros385
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:49.200099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.55
Q113.31
median25.825
Q343.27
95-th percentile112.8115
Maximum621.57
Range621.57
Interquartile range (IQR)29.96

Descriptive statistics

Standard deviation50.214531
Coefficient of variation (CV)1.3191639
Kurtosis26.484734
Mean38.065423
Median Absolute Deviation (MAD)14.285
Skewness4.4186688
Sum380654.23
Variance2521.4992
MonotonicityNot monotonic
2024-05-04T06:58:49.969614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 385
 
3.9%
10.8 25
 
0.2%
13.2 21
 
0.2%
9.6 19
 
0.2%
15.6 19
 
0.2%
6.0 16
 
0.2%
8.4 16
 
0.2%
4.8 16
 
0.2%
16.8 15
 
0.1%
14.4 15
 
0.1%
Other values (5362) 9453
94.5%
ValueCountFrequency (%)
0.0 385
3.9%
1.2 5
 
0.1%
1.22 1
 
< 0.1%
1.24 1
 
< 0.1%
1.28 1
 
< 0.1%
1.29 1
 
< 0.1%
1.35 1
 
< 0.1%
1.39 1
 
< 0.1%
1.46 1
 
< 0.1%
1.48 1
 
< 0.1%
ValueCountFrequency (%)
621.57 1
< 0.1%
588.49 1
< 0.1%
543.67 1
< 0.1%
531.54 1
< 0.1%
521.44 1
< 0.1%
504.47 1
< 0.1%
496.73 1
< 0.1%
493.24 1
< 0.1%
488.02 1
< 0.1%
480.18 1
< 0.1%

SNS 사용횟수
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003557
Minimum-0.34
Maximum0.35
Zeros312
Zeros (%)3.1%
Negative4774
Negative (%)47.7%
Memory size166.0 KiB
2024-05-04T06:58:50.596819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.34
5-th percentile-0.24
Q1-0.08
median0
Q30.09
95-th percentile0.19
Maximum0.35
Range0.69
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.12197002
Coefficient of variation (CV)-34.290137
Kurtosis-0.30135476
Mean-0.003557
Median Absolute Deviation (MAD)0.08
Skewness-0.30841432
Sum-35.57
Variance0.014876685
MonotonicityNot monotonic
2024-05-04T06:58:51.372080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.07 379
 
3.8%
-0.08 332
 
3.3%
0.01 330
 
3.3%
0.04 325
 
3.2%
-0.06 319
 
3.2%
0.02 319
 
3.2%
0.0 312
 
3.1%
-0.04 308
 
3.1%
0.03 304
 
3.0%
-0.01 298
 
3.0%
Other values (54) 6774
67.7%
ValueCountFrequency (%)
-0.34 1
 
< 0.1%
-0.33 1
 
< 0.1%
-0.32 2
 
< 0.1%
-0.31 17
 
0.2%
-0.3 44
0.4%
-0.29 77
0.8%
-0.28 95
0.9%
-0.27 76
0.8%
-0.26 78
0.8%
-0.25 87
0.9%
ValueCountFrequency (%)
0.35 1
 
< 0.1%
0.28 3
 
< 0.1%
0.27 4
 
< 0.1%
0.26 8
 
0.1%
0.25 18
 
0.2%
0.24 36
 
0.4%
0.23 52
 
0.5%
0.22 73
0.7%
0.21 114
1.1%
0.2 130
1.3%
Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.244264
Minimum-0.47
Maximum0.07
Zeros28
Zeros (%)0.3%
Negative9925
Negative (%)99.2%
Memory size166.0 KiB
2024-05-04T06:58:51.907408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.47
5-th percentile-0.47
Q1-0.3
median-0.24
Q3-0.17
95-th percentile-0.07
Maximum0.07
Range0.54
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.10995157
Coefficient of variation (CV)-0.45013415
Kurtosis-0.23007897
Mean-0.244264
Median Absolute Deviation (MAD)0.07
Skewness-0.21016028
Sum-2442.64
Variance0.012089347
MonotonicityNot monotonic
2024-05-04T06:58:52.564526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.47 653
 
6.5%
-0.27 500
 
5.0%
-0.28 480
 
4.8%
-0.29 434
 
4.3%
-0.26 415
 
4.2%
-0.25 414
 
4.1%
-0.23 364
 
3.6%
-0.21 345
 
3.5%
-0.3 343
 
3.4%
-0.24 338
 
3.4%
Other values (44) 5714
57.1%
ValueCountFrequency (%)
-0.47 653
6.5%
-0.46 79
 
0.8%
-0.45 41
 
0.4%
-0.44 43
 
0.4%
-0.43 37
 
0.4%
-0.42 63
 
0.6%
-0.41 75
 
0.8%
-0.4 80
 
0.8%
-0.39 105
 
1.1%
-0.38 108
 
1.1%
ValueCountFrequency (%)
0.07 2
 
< 0.1%
0.05 5
 
0.1%
0.04 7
 
0.1%
0.03 6
 
0.1%
0.02 8
 
0.1%
0.01 19
 
0.2%
0.0 28
0.3%
-0.01 35
0.4%
-0.02 58
0.6%
-0.03 58
0.6%

SNS 사용횟수: 4분위수, 50%
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.043747
Minimum-0.46
Maximum0.34
Zeros259
Zeros (%)2.6%
Negative5896
Negative (%)59.0%
Memory size166.0 KiB
2024-05-04T06:58:53.112585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.46
5-th percentile-0.35
Q1-0.14
median-0.04
Q30.07
95-th percentile0.21
Maximum0.34
Range0.8
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.15580603
Coefficient of variation (CV)-3.5615248
Kurtosis-0.13569354
Mean-0.043747
Median Absolute Deviation (MAD)0.1
Skewness-0.2583982
Sum-437.47
Variance0.024275518
MonotonicityNot monotonic
2024-05-04T06:58:53.864640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.12 328
 
3.3%
-0.13 323
 
3.2%
-0.14 311
 
3.1%
-0.02 285
 
2.9%
-0.11 281
 
2.8%
-0.15 279
 
2.8%
-0.03 264
 
2.6%
0.0 259
 
2.6%
0.02 256
 
2.6%
-0.1 249
 
2.5%
Other values (71) 7165
71.7%
ValueCountFrequency (%)
-0.46 5
 
0.1%
-0.45 17
 
0.2%
-0.44 26
0.3%
-0.43 40
0.4%
-0.42 48
0.5%
-0.41 53
0.5%
-0.4 60
0.6%
-0.39 50
0.5%
-0.38 45
0.4%
-0.37 46
0.5%
ValueCountFrequency (%)
0.34 1
 
< 0.1%
0.33 2
 
< 0.1%
0.32 8
 
0.1%
0.31 9
 
0.1%
0.3 10
 
0.1%
0.29 17
 
0.2%
0.28 37
0.4%
0.27 29
0.3%
0.26 59
0.6%
0.25 54
0.5%
Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.207667
Minimum-0.35
Maximum0.66
Zeros97
Zeros (%)1.0%
Negative1075
Negative (%)10.8%
Memory size166.0 KiB
2024-05-04T06:58:54.436094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.35
5-th percentile-0.1
Q10.08
median0.21
Q30.33
95-th percentile0.5
Maximum0.66
Range1.01
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.17815595
Coefficient of variation (CV)0.85789242
Kurtosis-0.42336867
Mean0.207667
Median Absolute Deviation (MAD)0.12
Skewness-0.087274442
Sum2076.67
Variance0.031739541
MonotonicityNot monotonic
2024-05-04T06:58:55.294147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 258
 
2.6%
0.07 237
 
2.4%
0.3 234
 
2.3%
0.16 230
 
2.3%
0.06 229
 
2.3%
0.27 226
 
2.3%
0.12 220
 
2.2%
0.21 218
 
2.2%
0.08 218
 
2.2%
0.32 215
 
2.1%
Other values (86) 7715
77.1%
ValueCountFrequency (%)
-0.35 1
 
< 0.1%
-0.28 1
 
< 0.1%
-0.27 5
 
0.1%
-0.26 3
 
< 0.1%
-0.25 4
 
< 0.1%
-0.24 9
 
0.1%
-0.23 24
0.2%
-0.22 20
0.2%
-0.21 24
0.2%
-0.2 29
0.3%
ValueCountFrequency (%)
0.66 3
 
< 0.1%
0.65 1
 
< 0.1%
0.64 1
 
< 0.1%
0.63 3
 
< 0.1%
0.62 4
 
< 0.1%
0.61 14
0.1%
0.6 11
 
0.1%
0.59 18
0.2%
0.58 21
0.2%
0.57 28
0.3%

평균 통화량
Real number (ℝ)

Distinct3984
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.483241
Minimum20.87
Maximum130.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:55.815688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.87
5-th percentile34.959
Q156.75
median65.27
Q370.98
95-th percentile77.71
Maximum130.83
Range109.96
Interquartile range (IQR)14.23

Descriptive statistics

Standard deviation12.386097
Coefficient of variation (CV)0.1982307
Kurtosis0.93004592
Mean62.483241
Median Absolute Deviation (MAD)6.685
Skewness-0.99650936
Sum624832.41
Variance153.41539
MonotonicityNot monotonic
2024-05-04T06:58:56.302241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.08 16
 
0.2%
71.22 12
 
0.1%
67.65 11
 
0.1%
64.38 11
 
0.1%
64.34 11
 
0.1%
65.57 10
 
0.1%
66.8 10
 
0.1%
69.75 10
 
0.1%
75.78 10
 
0.1%
68.46 10
 
0.1%
Other values (3974) 9889
98.9%
ValueCountFrequency (%)
20.87 1
< 0.1%
20.94 1
< 0.1%
21.35 1
< 0.1%
21.94 1
< 0.1%
22.19 1
< 0.1%
22.55 1
< 0.1%
22.81 1
< 0.1%
22.87 1
< 0.1%
23.02 1
< 0.1%
23.04 1
< 0.1%
ValueCountFrequency (%)
130.83 1
< 0.1%
99.42 1
< 0.1%
98.73 1
< 0.1%
97.27 1
< 0.1%
96.75 1
< 0.1%
96.57 1
< 0.1%
95.0 1
< 0.1%
94.14 1
< 0.1%
92.45 1
< 0.1%
91.88 1
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.332362
Minimum3.33
Maximum63.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:56.745041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile10
Q113.33
median16.67
Q323.33
95-th percentile26.67
Maximum63.33
Range60
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.8593211
Coefficient of variation (CV)0.31961627
Kurtosis0.099806991
Mean18.332362
Median Absolute Deviation (MAD)3.34
Skewness0.11605276
Sum183323.62
Variance34.331644
MonotonicityNot monotonic
2024-05-04T06:58:57.216633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
16.67 2040
20.4%
20.0 1990
19.9%
23.33 1689
16.9%
13.33 1645
16.4%
26.67 976
9.8%
10.0 875
8.8%
6.67 443
 
4.4%
30.0 271
 
2.7%
33.33 42
 
0.4%
36.67 12
 
0.1%
Other values (6) 17
 
0.2%
ValueCountFrequency (%)
3.33 7
 
0.1%
6.67 443
 
4.4%
10.0 875
8.8%
13.33 1645
16.4%
16.67 2040
20.4%
20.0 1990
19.9%
23.33 1689
16.9%
26.67 976
9.8%
30.0 271
 
2.7%
33.33 42
 
0.4%
ValueCountFrequency (%)
63.33 1
 
< 0.1%
50.0 2
 
< 0.1%
46.67 1
 
< 0.1%
43.33 2
 
< 0.1%
40.0 4
 
< 0.1%
36.67 12
 
0.1%
33.33 42
 
0.4%
30.0 271
 
2.7%
26.67 976
9.8%
23.33 1689
16.9%
Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.572724
Minimum3.33
Maximum126.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:57.632425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile20
Q133.33
median43.33
Q350
95-th percentile56.67
Maximum126.67
Range123.34
Interquartile range (IQR)16.67

Descriptive statistics

Standard deviation11.083886
Coefficient of variation (CV)0.26661438
Kurtosis0.32186019
Mean41.572724
Median Absolute Deviation (MAD)6.67
Skewness-0.38509784
Sum415727.24
Variance122.85253
MonotonicityNot monotonic
2024-05-04T06:58:58.109886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46.67 1312
13.1%
43.33 1213
12.1%
50.0 1120
11.2%
40.0 1101
11.0%
36.67 956
9.6%
53.33 855
8.6%
33.33 722
7.2%
30.0 551
5.5%
56.67 542
5.4%
26.67 391
 
3.9%
Other values (16) 1237
12.4%
ValueCountFrequency (%)
3.33 1
 
< 0.1%
10.0 7
 
0.1%
13.33 155
 
1.6%
16.67 234
 
2.3%
20.0 211
 
2.1%
23.33 257
 
2.6%
26.67 391
3.9%
30.0 551
5.5%
33.33 722
7.2%
36.67 956
9.6%
ValueCountFrequency (%)
126.67 1
 
< 0.1%
96.67 1
 
< 0.1%
83.33 1
 
< 0.1%
80.0 1
 
< 0.1%
76.67 4
 
< 0.1%
73.33 4
 
< 0.1%
70.0 14
 
0.1%
66.67 32
 
0.3%
63.33 93
0.9%
60.0 221
2.2%
Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.91269
Minimum23.33
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:58.710261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.33
5-th percentile43.33
Q176.67
median93.33
Q3103.33
95-th percentile116.67
Maximum210
Range186.67
Interquartile range (IQR)26.66

Descriptive statistics

Standard deviation21.367637
Coefficient of variation (CV)0.2430552
Kurtosis0.58571756
Mean87.91269
Median Absolute Deviation (MAD)13.33
Skewness-0.63621355
Sum879126.9
Variance456.5759
MonotonicityNot monotonic
2024-05-04T06:58:59.283558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
96.67 813
 
8.1%
100.0 767
 
7.7%
93.33 762
 
7.6%
103.33 712
 
7.1%
90.0 700
 
7.0%
106.67 600
 
6.0%
86.67 584
 
5.8%
83.33 511
 
5.1%
80.0 494
 
4.9%
110.0 449
 
4.5%
Other values (36) 3608
36.1%
ValueCountFrequency (%)
23.33 3
 
< 0.1%
26.67 31
 
0.3%
30.0 88
0.9%
33.33 106
1.1%
36.67 117
1.2%
40.0 108
1.1%
43.33 107
1.1%
46.67 109
1.1%
50.0 101
1.0%
53.33 121
1.2%
ValueCountFrequency (%)
210.0 1
 
< 0.1%
190.0 1
 
< 0.1%
176.67 1
 
< 0.1%
170.0 2
 
< 0.1%
160.0 4
< 0.1%
156.67 3
< 0.1%
153.33 2
 
< 0.1%
150.0 3
< 0.1%
146.67 6
0.1%
143.33 5
0.1%

평균 문자량
Real number (ℝ)

Distinct1312
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.989568
Minimum0
Maximum36.67
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:58:59.854728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.69
Q110.12
median11.9
Q313.73
95-th percentile16.43
Maximum36.67
Range36.67
Interquartile range (IQR)3.61

Descriptive statistics

Standard deviation2.8075355
Coefficient of variation (CV)0.23416486
Kurtosis2.910841
Mean11.989568
Median Absolute Deviation (MAD)1.8
Skewness0.55146506
Sum119895.68
Variance7.8822557
MonotonicityNot monotonic
2024-05-04T06:59:00.302847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 73
 
0.7%
13.33 63
 
0.6%
11.11 34
 
0.3%
6.67 34
 
0.3%
11.67 33
 
0.3%
8.33 30
 
0.3%
10.95 30
 
0.3%
13.17 28
 
0.3%
11.5 27
 
0.3%
10.61 27
 
0.3%
Other values (1302) 9621
96.2%
ValueCountFrequency (%)
0.0 3
 
< 0.1%
3.33 12
0.1%
3.67 1
 
< 0.1%
3.7 3
 
< 0.1%
3.81 2
 
< 0.1%
4.0 5
0.1%
4.06 1
 
< 0.1%
4.17 4
 
< 0.1%
4.24 1
 
< 0.1%
4.39 2
 
< 0.1%
ValueCountFrequency (%)
36.67 1
< 0.1%
36.0 1
< 0.1%
32.22 1
< 0.1%
30.83 1
< 0.1%
30.0 1
< 0.1%
28.83 1
< 0.1%
28.33 1
< 0.1%
27.41 1
< 0.1%
26.67 1
< 0.1%
26.3 1
< 0.1%

평균 문자량: 4분위수, 25%
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
9939 
6.67
 
53
13.33
 
4
0.0
 
3
10.0
 
1

Length

Max length5
Median length4
Mean length4.0001
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 9939
99.4%
6.67 53
 
0.5%
13.33 4
 
< 0.1%
0.0 3
 
< 0.1%
10.0 1
 
< 0.1%

Length

2024-05-04T06:59:00.771099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:59:01.133924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 9939
99.4%
6.67 53
 
0.5%
13.33 4
 
< 0.1%
0.0 3
 
< 0.1%
10.0 1
 
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.860748
Minimum0
Maximum33.33
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:01.443954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.33
Q13.33
median6.67
Q36.67
95-th percentile6.67
Maximum33.33
Range33.33
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation1.7072114
Coefficient of variation (CV)0.29129582
Kurtosis8.7792503
Mean5.860748
Median Absolute Deviation (MAD)0
Skewness0.35084315
Sum58607.48
Variance2.9145707
MonotonicityNot monotonic
2024-05-04T06:59:01.783130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.67 6989
69.9%
3.33 2731
 
27.3%
10.0 254
 
2.5%
13.33 16
 
0.2%
16.67 4
 
< 0.1%
0.0 3
 
< 0.1%
33.33 1
 
< 0.1%
23.33 1
 
< 0.1%
20.0 1
 
< 0.1%
ValueCountFrequency (%)
0.0 3
 
< 0.1%
3.33 2731
 
27.3%
6.67 6989
69.9%
10.0 254
 
2.5%
13.33 16
 
0.2%
16.67 4
 
< 0.1%
20.0 1
 
< 0.1%
23.33 1
 
< 0.1%
33.33 1
 
< 0.1%
ValueCountFrequency (%)
33.33 1
 
< 0.1%
23.33 1
 
< 0.1%
20.0 1
 
< 0.1%
16.67 4
 
< 0.1%
13.33 16
 
0.2%
10.0 254
 
2.5%
6.67 6989
69.9%
3.33 2731
 
27.3%
0.0 3
 
< 0.1%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.454918
Minimum0
Maximum83.33
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:02.247049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation3.9880941
Coefficient of variation (CV)0.32020236
Kurtosis32.002787
Mean12.454918
Median Absolute Deviation (MAD)3.33
Skewness2.7888346
Sum124549.18
Variance15.904895
MonotonicityNot monotonic
2024-05-04T06:59:02.660032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.0 3666
36.7%
13.33 3425
34.2%
16.67 1463
 
14.6%
6.67 850
 
8.5%
20.0 367
 
3.7%
23.33 97
 
1.0%
3.33 59
 
0.6%
26.67 25
 
0.2%
30.0 19
 
0.2%
33.33 8
 
0.1%
Other values (10) 21
 
0.2%
ValueCountFrequency (%)
0.0 3
 
< 0.1%
3.33 59
 
0.6%
6.67 850
 
8.5%
10.0 3666
36.7%
13.33 3425
34.2%
16.67 1463
 
14.6%
20.0 367
 
3.7%
23.33 97
 
1.0%
26.67 25
 
0.2%
30.0 19
 
0.2%
ValueCountFrequency (%)
83.33 2
 
< 0.1%
70.0 1
 
< 0.1%
60.0 1
 
< 0.1%
56.67 1
 
< 0.1%
53.33 1
 
< 0.1%
46.67 1
 
< 0.1%
43.33 1
 
< 0.1%
40.0 3
 
< 0.1%
36.67 7
0.1%
33.33 8
0.1%
Distinct1640
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.154008
Minimum4.58
Maximum28.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:03.091612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.58
5-th percentile6.8395
Q110.1175
median13.13
Q316.17
95-th percentile19.59
Maximum28.71
Range24.13
Interquartile range (IQR)6.0525

Descriptive statistics

Standard deviation3.9604272
Coefficient of variation (CV)0.3010814
Kurtosis-0.82434072
Mean13.154008
Median Absolute Deviation (MAD)3.03
Skewness0.072831632
Sum131540.08
Variance15.684983
MonotonicityNot monotonic
2024-05-04T06:59:03.618377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.5 24
 
0.2%
13.29 19
 
0.2%
13.18 19
 
0.2%
14.05 18
 
0.2%
13.33 18
 
0.2%
13.92 17
 
0.2%
13.45 16
 
0.2%
13.35 16
 
0.2%
14.12 16
 
0.2%
17.14 15
 
0.1%
Other values (1630) 9822
98.2%
ValueCountFrequency (%)
4.58 1
< 0.1%
4.62 1
< 0.1%
4.78 1
< 0.1%
4.8 1
< 0.1%
4.86 1
< 0.1%
4.91 1
< 0.1%
4.98 2
< 0.1%
5.0 1
< 0.1%
5.01 1
< 0.1%
5.03 1
< 0.1%
ValueCountFrequency (%)
28.71 1
< 0.1%
27.5 1
< 0.1%
23.96 1
< 0.1%
23.48 1
< 0.1%
23.28 1
< 0.1%
23.26 1
< 0.1%
23.21 1
< 0.1%
23.12 1
< 0.1%
23.05 1
< 0.1%
22.9 1
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.078259
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:04.153061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q15
median6.67
Q36.67
95-th percentile8.33
Maximum15
Range13.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.8412231
Coefficient of variation (CV)0.30291949
Kurtosis-0.47005102
Mean6.078259
Median Absolute Deviation (MAD)1.66
Skewness0.091730794
Sum60782.59
Variance3.3901025
MonotonicityNot monotonic
2024-05-04T06:59:04.943892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.67 3792
37.9%
5.0 2223
22.2%
3.33 1891
18.9%
8.33 1663
16.6%
10.0 385
 
3.9%
11.67 25
 
0.2%
1.67 17
 
0.2%
13.33 3
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
1.67 17
 
0.2%
3.33 1891
18.9%
5.0 2223
22.2%
6.67 3792
37.9%
8.33 1663
16.6%
10.0 385
 
3.9%
11.67 25
 
0.2%
13.33 3
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
13.33 3
 
< 0.1%
11.67 25
 
0.2%
10.0 385
 
3.9%
8.33 1663
16.6%
6.67 3792
37.9%
5.0 2223
22.2%
3.33 1891
18.9%
1.67 17
 
0.2%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.354661
Minimum3.33
Maximum23.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:05.454790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation3.2335899
Coefficient of variation (CV)0.31228351
Kurtosis-0.59365787
Mean10.354661
Median Absolute Deviation (MAD)1.67
Skewness0.19301606
Sum103546.61
Variance10.456104
MonotonicityNot monotonic
2024-05-04T06:59:05.971308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10.0 2060
20.6%
11.67 1807
18.1%
8.33 1419
14.2%
6.67 1359
13.6%
13.33 1091
10.9%
15.0 901
9.0%
5.0 827
8.3%
16.67 426
 
4.3%
18.33 76
 
0.8%
3.33 24
 
0.2%
Other values (3) 10
 
0.1%
ValueCountFrequency (%)
3.33 24
 
0.2%
5.0 827
8.3%
6.67 1359
13.6%
8.33 1419
14.2%
10.0 2060
20.6%
11.67 1807
18.1%
13.33 1091
10.9%
15.0 901
9.0%
16.67 426
 
4.3%
18.33 76
 
0.8%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
21.67 2
 
< 0.1%
20.0 7
 
0.1%
18.33 76
 
0.8%
16.67 426
 
4.3%
15.0 901
9.0%
13.33 1091
10.9%
11.67 1807
18.1%
10.0 2060
20.6%
8.33 1419
14.2%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.999239
Minimum5
Maximum46.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:06.449004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.33
Q113.33
median16.67
Q321.67
95-th percentile26.67
Maximum46.67
Range41.67
Interquartile range (IQR)8.34

Descriptive statistics

Standard deviation5.6693605
Coefficient of variation (CV)0.33350672
Kurtosis-0.7199889
Mean16.999239
Median Absolute Deviation (MAD)5
Skewness0.27223631
Sum169992.39
Variance32.141648
MonotonicityNot monotonic
2024-05-04T06:59:06.949703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
16.67 1357
13.6%
15.0 1153
11.5%
13.33 982
9.8%
10.0 891
8.9%
18.33 850
8.5%
11.67 762
7.6%
23.33 664
6.6%
25.0 659
6.6%
20.0 584
 
5.8%
21.67 577
 
5.8%
Other values (10) 1521
15.2%
ValueCountFrequency (%)
5.0 3
 
< 0.1%
6.67 214
 
2.1%
8.33 512
 
5.1%
10.0 891
8.9%
11.67 762
7.6%
13.33 982
9.8%
15.0 1153
11.5%
16.67 1357
13.6%
18.33 850
8.5%
20.0 584
5.8%
ValueCountFrequency (%)
46.67 1
 
< 0.1%
36.67 1
 
< 0.1%
33.33 6
 
0.1%
31.67 7
 
0.1%
30.0 53
 
0.5%
28.33 206
 
2.1%
26.67 518
5.2%
25.0 659
6.6%
23.33 664
6.6%
21.67 577
5.8%
Distinct560
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.112835
Minimum2.23
Maximum8.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:07.542497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.23
5-th percentile3.03
Q14.22
median5.31
Q36
95-th percentile6.76
Maximum8.76
Range6.53
Interquartile range (IQR)1.78

Descriptive statistics

Standard deviation1.161418
Coefficient of variation (CV)0.22715733
Kurtosis-0.63935992
Mean5.112835
Median Absolute Deviation (MAD)0.83
Skewness-0.33073956
Sum51128.35
Variance1.3488917
MonotonicityNot monotonic
2024-05-04T06:59:08.195064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.83 61
 
0.6%
5.76 59
 
0.6%
5.8 51
 
0.5%
5.71 51
 
0.5%
5.61 48
 
0.5%
5.75 47
 
0.5%
6.03 47
 
0.5%
5.7 47
 
0.5%
6.01 46
 
0.5%
5.93 45
 
0.4%
Other values (550) 9498
95.0%
ValueCountFrequency (%)
2.23 1
 
< 0.1%
2.25 1
 
< 0.1%
2.27 2
 
< 0.1%
2.28 2
 
< 0.1%
2.29 1
 
< 0.1%
2.3 1
 
< 0.1%
2.32 2
 
< 0.1%
2.33 3
< 0.1%
2.35 5
0.1%
2.36 1
 
< 0.1%
ValueCountFrequency (%)
8.76 1
< 0.1%
8.51 2
< 0.1%
8.46 1
< 0.1%
8.41 1
< 0.1%
8.37 1
< 0.1%
8.36 1
< 0.1%
8.33 1
< 0.1%
8.27 1
< 0.1%
8.25 1
< 0.1%
8.19 1
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
6566 
1.67
2740 
5.0
688 
6.67
 
6

Length

Max length4
Median length4
Mean length3.9312
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 6566
65.7%
1.67 2740
27.4%
5.0 688
 
6.9%
6.67 6
 
0.1%

Length

2024-05-04T06:59:08.718467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:59:09.269064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 6566
65.7%
1.67 2740
27.4%
5.0 688
 
6.9%
6.67 6
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
5172 
3.33
3770 
1.67
643 
6.67
 
408
8.33
 
7

Length

Max length4
Median length3
Mean length3.4828
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5.0 5172
51.7%
3.33 3770
37.7%
1.67 643
 
6.4%
6.67 408
 
4.1%
8.33 7
 
0.1%

Length

2024-05-04T06:59:09.679153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:59:10.058469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 5172
51.7%
3.33 3770
37.7%
1.67 643
 
6.4%
6.67 408
 
4.1%
8.33 7
 
0.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.970657
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:10.519589image/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 deviation1.4509873
Coefficient of variation (CV)0.24301971
Kurtosis-0.41246307
Mean5.970657
Median Absolute Deviation (MAD)1.66
Skewness-0.11712253
Sum59706.57
Variance2.1053642
MonotonicityNot monotonic
2024-05-04T06:59:10.938660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6.67 4382
43.8%
5.0 3154
31.5%
8.33 1239
 
12.4%
3.33 1177
 
11.8%
10.0 43
 
0.4%
11.67 3
 
< 0.1%
1.67 2
 
< 0.1%
ValueCountFrequency (%)
1.67 2
 
< 0.1%
3.33 1177
 
11.8%
5.0 3154
31.5%
6.67 4382
43.8%
8.33 1239
 
12.4%
10.0 43
 
0.4%
11.67 3
 
< 0.1%
ValueCountFrequency (%)
11.67 3
 
< 0.1%
10.0 43
 
0.4%
8.33 1239
 
12.4%
6.67 4382
43.8%
5.0 3154
31.5%
3.33 1177
 
11.8%
1.67 2
 
< 0.1%

데이터 사용량
Real number (ℝ)

Distinct1559
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.41974
Minimum0.19
Maximum23.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:11.342667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.56
Q11.56
median4.24
Q38.68
95-th percentile13.71
Maximum23.97
Range23.78
Interquartile range (IQR)7.12

Descriptive statistics

Standard deviation4.3389011
Coefficient of variation (CV)0.80057367
Kurtosis-0.64327309
Mean5.41974
Median Absolute Deviation (MAD)3.11
Skewness0.68089093
Sum54197.4
Variance18.826063
MonotonicityNot monotonic
2024-05-04T06:59:11.936920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 35
 
0.4%
1.5 33
 
0.3%
1.41 32
 
0.3%
0.64 31
 
0.3%
0.66 29
 
0.3%
1.21 29
 
0.3%
1.37 27
 
0.3%
1.2 27
 
0.3%
2.16 27
 
0.3%
0.57 27
 
0.3%
Other values (1549) 9703
97.0%
ValueCountFrequency (%)
0.19 1
 
< 0.1%
0.2 1
 
< 0.1%
0.21 5
 
0.1%
0.22 2
 
< 0.1%
0.23 2
 
< 0.1%
0.24 12
0.1%
0.25 6
0.1%
0.26 13
0.1%
0.27 11
0.1%
0.28 7
0.1%
ValueCountFrequency (%)
23.97 1
< 0.1%
22.02 1
< 0.1%
19.35 1
< 0.1%
19.27 1
< 0.1%
18.84 1
< 0.1%
18.62 1
< 0.1%
18.41 1
< 0.1%
18.17 1
< 0.1%
17.94 1
< 0.1%
17.86 1
< 0.1%

데이터 사용량: 4분위수, 25%
Real number (ℝ)

ZEROS 

Distinct489
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.06947
Minimum0
Maximum11.67
Zeros414
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:12.578255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.19
median0.54
Q31.88
95-th percentile3.26
Maximum11.67
Range11.67
Interquartile range (IQR)1.69

Descriptive statistics

Standard deviation1.1342283
Coefficient of variation (CV)1.0605517
Kurtosis2.2277722
Mean1.06947
Median Absolute Deviation (MAD)0.48
Skewness1.3007618
Sum10694.7
Variance1.2864738
MonotonicityNot monotonic
2024-05-04T06:59:13.114661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 414
 
4.1%
0.01 190
 
1.9%
0.05 143
 
1.4%
0.04 143
 
1.4%
0.11 132
 
1.3%
0.18 124
 
1.2%
0.1 124
 
1.2%
0.12 124
 
1.2%
0.02 117
 
1.2%
0.08 115
 
1.1%
Other values (479) 8374
83.7%
ValueCountFrequency (%)
0.0 414
4.1%
0.01 190
1.9%
0.02 117
 
1.2%
0.03 106
 
1.1%
0.04 143
 
1.4%
0.05 143
 
1.4%
0.06 106
 
1.1%
0.07 100
 
1.0%
0.08 115
 
1.1%
0.09 111
 
1.1%
ValueCountFrequency (%)
11.67 1
< 0.1%
10.13 1
< 0.1%
10.0 1
< 0.1%
8.83 1
< 0.1%
8.25 1
< 0.1%
7.48 1
< 0.1%
6.86 1
< 0.1%
6.39 1
< 0.1%
6.37 1
< 0.1%
6.35 1
< 0.1%
Distinct1234
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1822
Minimum0.02
Maximum19.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:13.642631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.09
Q10.57
median1.74
Q35.29
95-th percentile9.8905
Maximum19.65
Range19.63
Interquartile range (IQR)4.72

Descriptive statistics

Standard deviation3.2472003
Coefficient of variation (CV)1.0204262
Kurtosis0.23706014
Mean3.1822
Median Absolute Deviation (MAD)1.51
Skewness1.0744893
Sum31822
Variance10.54431
MonotonicityNot monotonic
2024-05-04T06:59:14.332336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 170
 
1.7%
0.03 76
 
0.8%
0.05 72
 
0.7%
0.35 66
 
0.7%
0.18 64
 
0.6%
0.1 63
 
0.6%
0.33 62
 
0.6%
0.11 60
 
0.6%
0.08 58
 
0.6%
0.13 58
 
0.6%
Other values (1224) 9251
92.5%
ValueCountFrequency (%)
0.02 5
 
0.1%
0.03 76
0.8%
0.04 170
1.7%
0.05 72
0.7%
0.06 50
 
0.5%
0.07 41
 
0.4%
0.08 58
 
0.6%
0.09 54
 
0.5%
0.1 63
 
0.6%
0.11 60
 
0.6%
ValueCountFrequency (%)
19.65 1
< 0.1%
17.5 1
< 0.1%
17.22 1
< 0.1%
17.01 1
< 0.1%
16.98 1
< 0.1%
16.91 1
< 0.1%
15.75 1
< 0.1%
15.26 1
< 0.1%
14.57 1
< 0.1%
14.39 1
< 0.1%
Distinct2133
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.190992
Minimum0.1
Maximum31.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:14.880861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.41
Q11.53
median4.855
Q312.2
95-th percentile19.71
Maximum31.05
Range30.95
Interquartile range (IQR)10.67

Descriptive statistics

Standard deviation6.4513897
Coefficient of variation (CV)0.89714878
Kurtosis-0.63666773
Mean7.190992
Median Absolute Deviation (MAD)4.025
Skewness0.73560528
Sum71909.92
Variance41.620429
MonotonicityNot monotonic
2024-05-04T06:59:15.501221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.18 41
 
0.4%
0.17 37
 
0.4%
0.15 36
 
0.4%
0.19 36
 
0.4%
0.46 34
 
0.3%
0.54 32
 
0.3%
0.52 32
 
0.3%
0.5 31
 
0.3%
0.16 31
 
0.3%
1.23 29
 
0.3%
Other values (2123) 9661
96.6%
ValueCountFrequency (%)
0.1 4
 
< 0.1%
0.11 5
 
0.1%
0.12 7
 
0.1%
0.13 16
 
0.2%
0.14 26
0.3%
0.15 36
0.4%
0.16 31
0.3%
0.17 37
0.4%
0.18 41
0.4%
0.19 36
0.4%
ValueCountFrequency (%)
31.05 1
< 0.1%
29.6 1
< 0.1%
27.21 1
< 0.1%
26.88 1
< 0.1%
26.83 1
< 0.1%
26.67 1
< 0.1%
26.27 1
< 0.1%
26.17 1
< 0.1%
25.8 1
< 0.1%
25.59 1
< 0.1%
Distinct7360
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.924239
Minimum0
Maximum882.54
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:16.064085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.8795
Q150.4775
median77.88
Q3114.5625
95-th percentile204.7585
Maximum882.54
Range882.54
Interquartile range (IQR)64.085

Descriptive statistics

Standard deviation65.896494
Coefficient of variation (CV)0.71685656
Kurtosis13.53297
Mean91.924239
Median Absolute Deviation (MAD)30.9
Skewness2.6947392
Sum919242.39
Variance4342.3479
MonotonicityNot monotonic
2024-05-04T06:59:16.596708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
0.2%
42.0 11
 
0.1%
37.2 11
 
0.1%
85.2 11
 
0.1%
55.2 10
 
0.1%
28.8 10
 
0.1%
30.0 10
 
0.1%
50.4 10
 
0.1%
26.4 9
 
0.1%
56.4 9
 
0.1%
Other values (7350) 9884
98.8%
ValueCountFrequency (%)
0.0 25
0.2%
1.2 1
 
< 0.1%
2.2 1
 
< 0.1%
2.4 1
 
< 0.1%
2.44 1
 
< 0.1%
2.68 1
 
< 0.1%
2.77 1
 
< 0.1%
2.86 1
 
< 0.1%
3.46 1
 
< 0.1%
3.6 3
 
< 0.1%
ValueCountFrequency (%)
882.54 1
< 0.1%
789.19 1
< 0.1%
729.29 1
< 0.1%
647.1 1
< 0.1%
619.81 1
< 0.1%
606.26 1
< 0.1%
585.91 1
< 0.1%
584.49 1
< 0.1%
572.29 1
< 0.1%
568.38 1
< 0.1%

평일 총 이동 횟수
Real number (ℝ)

Distinct1117
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.409337
Minimum4.51
Maximum18.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:17.212622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.51
5-th percentile6.91
Q110.21
median11.63
Q313.02
95-th percentile14.75
Maximum18.19
Range13.68
Interquartile range (IQR)2.81

Descriptive statistics

Standard deviation2.3131972
Coefficient of variation (CV)0.20274597
Kurtosis-0.035213436
Mean11.409337
Median Absolute Deviation (MAD)1.41
Skewness-0.51718023
Sum114093.37
Variance5.3508811
MonotonicityNot monotonic
2024-05-04T06:59:17.815706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.52 31
 
0.3%
11.64 30
 
0.3%
11.2 29
 
0.3%
11.54 29
 
0.3%
11.46 29
 
0.3%
11.39 29
 
0.3%
11.6 29
 
0.3%
10.79 28
 
0.3%
11.62 28
 
0.3%
11.93 28
 
0.3%
Other values (1107) 9710
97.1%
ValueCountFrequency (%)
4.51 1
< 0.1%
4.7 1
< 0.1%
4.81 1
< 0.1%
4.82 1
< 0.1%
4.85 1
< 0.1%
4.87 1
< 0.1%
4.89 1
< 0.1%
4.9 1
< 0.1%
4.93 1
< 0.1%
4.95 1
< 0.1%
ValueCountFrequency (%)
18.19 1
< 0.1%
17.83 1
< 0.1%
17.75 1
< 0.1%
17.56 1
< 0.1%
17.4 1
< 0.1%
17.28 1
< 0.1%
17.18 2
< 0.1%
16.96 1
< 0.1%
16.92 1
< 0.1%
16.86 1
< 0.1%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.017246
Minimum1.67
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:18.417858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q15
median6.67
Q38.33
95-th percentile11.67
Maximum15
Range13.33
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation2.8461599
Coefficient of variation (CV)0.405595
Kurtosis-0.6795897
Mean7.017246
Median Absolute Deviation (MAD)1.67
Skewness0.15176484
Sum70172.46
Variance8.100626
MonotonicityNot monotonic
2024-05-04T06:59:18.792891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.67 2171
21.7%
5.0 1909
19.1%
8.33 1678
16.8%
10.0 1470
14.7%
3.33 1300
13.0%
11.67 808
 
8.1%
1.67 443
 
4.4%
13.33 206
 
2.1%
15.0 15
 
0.1%
ValueCountFrequency (%)
1.67 443
 
4.4%
3.33 1300
13.0%
5.0 1909
19.1%
6.67 2171
21.7%
8.33 1678
16.8%
10.0 1470
14.7%
11.67 808
 
8.1%
13.33 206
 
2.1%
15.0 15
 
0.1%
ValueCountFrequency (%)
15.0 15
 
0.1%
13.33 206
 
2.1%
11.67 808
 
8.1%
10.0 1470
14.7%
8.33 1678
16.8%
6.67 2171
21.7%
5.0 1909
19.1%
3.33 1300
13.0%
1.67 443
 
4.4%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.676143
Minimum3.33
Maximum18.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:19.092347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q110
median13.33
Q313.33
95-th percentile15
Maximum18.33
Range15
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation3.0790518
Coefficient of variation (CV)0.26370453
Kurtosis0.013078026
Mean11.676143
Median Absolute Deviation (MAD)1.67
Skewness-0.88765801
Sum116761.43
Variance9.4805601
MonotonicityNot monotonic
2024-05-04T06:59:19.521267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13.33 2947
29.5%
11.67 2021
20.2%
15.0 1911
19.1%
10.0 890
 
8.9%
8.33 756
 
7.6%
6.67 631
 
6.3%
5.0 512
 
5.1%
3.33 171
 
1.7%
16.67 156
 
1.6%
18.33 5
 
0.1%
ValueCountFrequency (%)
3.33 171
 
1.7%
5.0 512
 
5.1%
6.67 631
 
6.3%
8.33 756
 
7.6%
10.0 890
 
8.9%
11.67 2021
20.2%
13.33 2947
29.5%
15.0 1911
19.1%
16.67 156
 
1.6%
18.33 5
 
0.1%
ValueCountFrequency (%)
18.33 5
 
0.1%
16.67 156
 
1.6%
15.0 1911
19.1%
13.33 2947
29.5%
11.67 2021
20.2%
10.0 890
 
8.9%
8.33 756
 
7.6%
6.67 631
 
6.3%
5.0 512
 
5.1%
3.33 171
 
1.7%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.226219
Minimum5
Maximum23.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:20.015445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q115
median15
Q316.67
95-th percentile18.33
Maximum23.33
Range18.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation2.490104
Coefficient of variation (CV)0.16354054
Kurtosis1.3654714
Mean15.226219
Median Absolute Deviation (MAD)1.67
Skewness-0.93327441
Sum152262.19
Variance6.2006181
MonotonicityNot monotonic
2024-05-04T06:59:20.400690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15.0 3668
36.7%
16.67 2636
26.4%
18.33 1238
 
12.4%
13.33 1012
 
10.1%
11.67 476
 
4.8%
10.0 358
 
3.6%
8.33 284
 
2.8%
20.0 244
 
2.4%
6.67 69
 
0.7%
21.67 11
 
0.1%
Other values (2) 4
 
< 0.1%
ValueCountFrequency (%)
5.0 3
 
< 0.1%
6.67 69
 
0.7%
8.33 284
 
2.8%
10.0 358
 
3.6%
11.67 476
 
4.8%
13.33 1012
 
10.1%
15.0 3668
36.7%
16.67 2636
26.4%
18.33 1238
 
12.4%
20.0 244
 
2.4%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
21.67 11
 
0.1%
20.0 244
 
2.4%
18.33 1238
 
12.4%
16.67 2636
26.4%
15.0 3668
36.7%
13.33 1012
 
10.1%
11.67 476
 
4.8%
10.0 358
 
3.6%
8.33 284
 
2.8%
Distinct7654
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.4962
Minimum0
Maximum970.32
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:20.886525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.5265
Q165.19
median98.805
Q3142.055
95-th percentile247.2
Maximum970.32
Range970.32
Interquartile range (IQR)76.865

Descriptive statistics

Standard deviation77.655699
Coefficient of variation (CV)0.67823823
Kurtosis11.860445
Mean114.4962
Median Absolute Deviation (MAD)37.615
Skewness2.558658
Sum1144962
Variance6030.4076
MonotonicityNot monotonic
2024-05-04T06:59:21.531865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
0.2%
37.2 13
 
0.1%
60.0 12
 
0.1%
67.2 9
 
0.1%
50.4 9
 
0.1%
48.0 9
 
0.1%
85.2 9
 
0.1%
49.2 9
 
0.1%
55.2 8
 
0.1%
99.6 8
 
0.1%
Other values (7644) 9896
99.0%
ValueCountFrequency (%)
0.0 18
0.2%
1.2 2
 
< 0.1%
3.05 1
 
< 0.1%
3.67 1
 
< 0.1%
4.8 1
 
< 0.1%
4.89 1
 
< 0.1%
5.43 1
 
< 0.1%
5.89 1
 
< 0.1%
6.0 2
 
< 0.1%
6.76 1
 
< 0.1%
ValueCountFrequency (%)
970.32 1
< 0.1%
833.16 1
< 0.1%
769.4 1
< 0.1%
744.77 1
< 0.1%
738.72 1
< 0.1%
708.07 1
< 0.1%
703.5 1
< 0.1%
689.67 1
< 0.1%
688.88 1
< 0.1%
674.75 1
< 0.1%
Distinct555
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.298923
Minimum3.15
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:22.749053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile4.29
Q15.78
median6.43
Q36.9925
95-th percentile7.67
Maximum12.5
Range9.35
Interquartile range (IQR)1.2125

Descriptive statistics

Standard deviation1.0039535
Coefficient of variation (CV)0.15938494
Kurtosis0.51249233
Mean6.298923
Median Absolute Deviation (MAD)0.6
Skewness-0.61503156
Sum62989.23
Variance1.0079226
MonotonicityNot monotonic
2024-05-04T06:59:23.364599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.58 59
 
0.6%
6.88 58
 
0.6%
6.95 58
 
0.6%
6.62 58
 
0.6%
6.75 57
 
0.6%
7.03 56
 
0.6%
6.86 55
 
0.5%
6.67 54
 
0.5%
6.31 54
 
0.5%
6.77 53
 
0.5%
Other values (545) 9438
94.4%
ValueCountFrequency (%)
3.15 1
< 0.1%
3.22 1
< 0.1%
3.23 1
< 0.1%
3.26 1
< 0.1%
3.27 2
< 0.1%
3.3 2
< 0.1%
3.31 2
< 0.1%
3.32 2
< 0.1%
3.33 2
< 0.1%
3.34 1
< 0.1%
ValueCountFrequency (%)
12.5 1
< 0.1%
10.28 1
< 0.1%
10.13 1
< 0.1%
9.73 1
< 0.1%
9.56 1
< 0.1%
9.49 1
< 0.1%
9.44 1
< 0.1%
9.39 1
< 0.1%
9.27 1
< 0.1%
9.17 1
< 0.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.62662
Minimum1.67
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:23.903607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile1.67
Q13.33
median3.33
Q35
95-th percentile5
Maximum10
Range8.33
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.0468537
Coefficient of variation (CV)0.28865822
Kurtosis-0.23436797
Mean3.62662
Median Absolute Deviation (MAD)0
Skewness-0.021809618
Sum36266.2
Variance1.0959026
MonotonicityNot monotonic
2024-05-04T06:59:24.273786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.33 5875
58.8%
5.0 2887
28.9%
1.67 1199
 
12.0%
6.67 37
 
0.4%
10.0 1
 
< 0.1%
8.33 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1199
 
12.0%
3.33 5875
58.8%
5.0 2887
28.9%
6.67 37
 
0.4%
8.33 1
 
< 0.1%
10.0 1
 
< 0.1%
ValueCountFrequency (%)
10.0 1
 
< 0.1%
8.33 1
 
< 0.1%
6.67 37
 
0.4%
5.0 2887
28.9%
3.33 5875
58.8%
1.67 1199
 
12.0%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.919437
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:24.669955image/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 deviation1.2762108
Coefficient of variation (CV)0.21559665
Kurtosis-0.0093608228
Mean5.919437
Median Absolute Deviation (MAD)0
Skewness-0.48471033
Sum59194.37
Variance1.628714
MonotonicityNot monotonic
2024-05-04T06:59:25.178465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6.67 5395
53.9%
5.0 2977
29.8%
3.33 1032
 
10.3%
8.33 569
 
5.7%
1.67 15
 
0.1%
10.0 10
 
0.1%
11.67 2
 
< 0.1%
ValueCountFrequency (%)
1.67 15
 
0.1%
3.33 1032
 
10.3%
5.0 2977
29.8%
6.67 5395
53.9%
8.33 569
 
5.7%
10.0 10
 
0.1%
11.67 2
 
< 0.1%
ValueCountFrequency (%)
11.67 2
 
< 0.1%
10.0 10
 
0.1%
8.33 569
 
5.7%
6.67 5395
53.9%
5.0 2977
29.8%
3.33 1032
 
10.3%
1.67 15
 
0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.524704
Minimum3.33
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:25.591698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q18.33
median8.33
Q310
95-th percentile10
Maximum15
Range11.67
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.4257594
Coefficient of variation (CV)0.16725031
Kurtosis0.5202444
Mean8.524704
Median Absolute Deviation (MAD)1.66
Skewness-0.5660331
Sum85247.04
Variance2.0327898
MonotonicityNot monotonic
2024-05-04T06:59:26.212954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8.33 4813
48.1%
10.0 3187
31.9%
6.67 1291
 
12.9%
5.0 527
 
5.3%
11.67 157
 
1.6%
3.33 13
 
0.1%
13.33 10
 
0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
3.33 13
 
0.1%
5.0 527
 
5.3%
6.67 1291
 
12.9%
8.33 4813
48.1%
10.0 3187
31.9%
11.67 157
 
1.6%
13.33 10
 
0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
15.0 2
 
< 0.1%
13.33 10
 
0.1%
11.67 157
 
1.6%
10.0 3187
31.9%
8.33 4813
48.1%
6.67 1291
 
12.9%
5.0 527
 
5.3%
3.33 13
 
0.1%
Distinct1743
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.281556
Minimum0
Maximum56.47
Zeros2271
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:26.624763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.46
median3.82
Q37.6425
95-th percentile16.0705
Maximum56.47
Range56.47
Interquartile range (IQR)6.1825

Descriptive statistics

Standard deviation5.4270051
Coefficient of variation (CV)1.0275391
Kurtosis5.5322692
Mean5.281556
Median Absolute Deviation (MAD)3.33
Skewness1.7872614
Sum52815.56
Variance29.452384
MonotonicityNot monotonic
2024-05-04T06:59:27.185374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2271
 
22.7%
2.4 84
 
0.8%
1.2 74
 
0.7%
3.6 66
 
0.7%
6.0 41
 
0.4%
4.8 33
 
0.3%
7.2 24
 
0.2%
8.4 24
 
0.2%
1.96 21
 
0.2%
1.53 20
 
0.2%
Other values (1733) 7342
73.4%
ValueCountFrequency (%)
0.0 2271
22.7%
1.2 74
 
0.7%
1.21 1
 
< 0.1%
1.22 2
 
< 0.1%
1.23 4
 
< 0.1%
1.24 6
 
0.1%
1.25 5
 
0.1%
1.26 5
 
0.1%
1.27 7
 
0.1%
1.28 5
 
0.1%
ValueCountFrequency (%)
56.47 1
< 0.1%
53.84 1
< 0.1%
51.38 1
< 0.1%
49.57 1
< 0.1%
44.6 1
< 0.1%
43.96 1
< 0.1%
38.45 1
< 0.1%
37.92 1
< 0.1%
35.72 1
< 0.1%
35.07 1
< 0.1%
Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407766.21
Minimum226344.44
Maximum607362.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:27.651152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum226344.44
5-th percentile324760.86
Q1362068.5
median397955.68
Q3439473.93
95-th percentile536585.94
Maximum607362.41
Range381017.97
Interquartile range (IQR)77405.427

Descriptive statistics

Standard deviation62566.883
Coefficient of variation (CV)0.15343812
Kurtosis0.25241729
Mean407766.21
Median Absolute Deviation (MAD)37917.925
Skewness0.76539836
Sum4.0776621 × 109
Variance3.9146148 × 109
MonotonicityNot monotonic
2024-05-04T06:59:28.126416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
402681.9 2
 
< 0.1%
386945.08 2
 
< 0.1%
412977.06 1
 
< 0.1%
355628.35 1
 
< 0.1%
556837.69 1
 
< 0.1%
431172.03 1
 
< 0.1%
279635.72 1
 
< 0.1%
337497.6 1
 
< 0.1%
433581.85 1
 
< 0.1%
373697.71 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
226344.44 1
< 0.1%
227544.9 1
< 0.1%
230169.17 1
< 0.1%
237661.54 1
< 0.1%
244201.99 1
< 0.1%
249590.0 1
< 0.1%
254562.6 1
< 0.1%
260133.33 1
< 0.1%
262073.33 1
< 0.1%
264806.17 1
< 0.1%
ValueCountFrequency (%)
607362.41 1
< 0.1%
604916.39 1
< 0.1%
603167.75 1
< 0.1%
602164.48 1
< 0.1%
602048.36 1
< 0.1%
600266.82 1
< 0.1%
598948.5 1
< 0.1%
598848.4 1
< 0.1%
598731.97 1
< 0.1%
597580.68 1
< 0.1%
Distinct4866
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301379.91
Minimum147633.33
Maximum577700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:28.637820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum147633.33
5-th percentile228265
Q1253558.34
median281983.33
Q3322975
95-th percentile460933.33
Maximum577700
Range430066.67
Interquartile range (IQR)69416.667

Descriptive statistics

Standard deviation69761.567
Coefficient of variation (CV)0.23147385
Kurtosis1.8332395
Mean301379.91
Median Absolute Deviation (MAD)31949.995
Skewness1.4595084
Sum3.0137991 × 109
Variance4.8666763 × 109
MonotonicityNot monotonic
2024-05-04T06:59:29.112571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258933.33 10
 
0.1%
247000.0 10
 
0.1%
250133.33 10
 
0.1%
284500.0 9
 
0.1%
242600.0 9
 
0.1%
249833.33 9
 
0.1%
253466.67 9
 
0.1%
263866.67 9
 
0.1%
257000.0 9
 
0.1%
249933.33 9
 
0.1%
Other values (4856) 9907
99.1%
ValueCountFrequency (%)
147633.33 1
< 0.1%
159766.67 1
< 0.1%
164233.33 1
< 0.1%
168333.33 1
< 0.1%
168533.33 1
< 0.1%
169400.0 1
< 0.1%
169733.33 1
< 0.1%
170333.33 1
< 0.1%
171166.67 1
< 0.1%
174900.0 1
< 0.1%
ValueCountFrequency (%)
577700.0 1
< 0.1%
575366.67 1
< 0.1%
571300.0 1
< 0.1%
565666.67 1
< 0.1%
564133.33 1
< 0.1%
561700.0 1
< 0.1%
559566.67 1
< 0.1%
558500.0 1
< 0.1%
558200.0 1
< 0.1%
557533.33 1
< 0.1%
Distinct5860
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean393048.75
Minimum147633.33
Maximum644700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:29.539594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum147633.33
5-th percentile287631.66
Q1325633.33
median378300
Q3438075
95-th percentile569446.66
Maximum644700
Range497066.67
Interquartile range (IQR)112441.67

Descriptive statistics

Standard deviation84939.264
Coefficient of variation (CV)0.21610364
Kurtosis-0.046915126
Mean393048.75
Median Absolute Deviation (MAD)54866.67
Skewness0.80255458
Sum3.9304875 × 109
Variance7.2146786 × 109
MonotonicityNot monotonic
2024-05-04T06:59:30.019187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324533.33 9
 
0.1%
300400.0 8
 
0.1%
315433.33 7
 
0.1%
354600.0 7
 
0.1%
310833.33 7
 
0.1%
338333.33 7
 
0.1%
335100.0 6
 
0.1%
351900.0 6
 
0.1%
386800.0 6
 
0.1%
367800.0 6
 
0.1%
Other values (5850) 9931
99.3%
ValueCountFrequency (%)
147633.33 1
< 0.1%
188300.0 1
< 0.1%
195800.0 1
< 0.1%
204066.67 1
< 0.1%
207466.67 1
< 0.1%
207833.33 1
< 0.1%
219833.33 1
< 0.1%
221700.0 1
< 0.1%
236200.0 1
< 0.1%
236900.0 1
< 0.1%
ValueCountFrequency (%)
644700.0 1
< 0.1%
643966.67 1
< 0.1%
638733.33 1
< 0.1%
637100.0 1
< 0.1%
634966.67 1
< 0.1%
634100.0 1
< 0.1%
634000.0 1
< 0.1%
633133.33 1
< 0.1%
632500.0 1
< 0.1%
632400.0 1
< 0.1%
Distinct5845
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510706.71
Minimum254666.67
Maximum683133.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:30.401267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum254666.67
5-th percentile390565
Q1454291.67
median511450
Q3563500
95-th percentile640535
Maximum683133.33
Range428466.66
Interquartile range (IQR)109208.33

Descriptive statistics

Standard deviation74597.61
Coefficient of variation (CV)0.14606742
Kurtosis-0.58702122
Mean510706.71
Median Absolute Deviation (MAD)54300
Skewness0.01794499
Sum5.1070671 × 109
Variance5.5648034 × 109
MonotonicityNot monotonic
2024-05-04T06:59:30.819312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431966.67 7
 
0.1%
558933.33 7
 
0.1%
452600.0 7
 
0.1%
543933.33 7
 
0.1%
469600.0 6
 
0.1%
534933.33 6
 
0.1%
546566.67 6
 
0.1%
531966.67 6
 
0.1%
535033.33 6
 
0.1%
466733.33 6
 
0.1%
Other values (5835) 9936
99.4%
ValueCountFrequency (%)
254666.67 1
< 0.1%
263466.67 1
< 0.1%
271133.33 1
< 0.1%
282200.0 1
< 0.1%
283266.67 1
< 0.1%
287066.67 1
< 0.1%
289300.0 1
< 0.1%
293066.67 1
< 0.1%
310966.67 1
< 0.1%
311566.67 1
< 0.1%
ValueCountFrequency (%)
683133.33 1
< 0.1%
681833.33 1
< 0.1%
680900.0 1
< 0.1%
679533.33 1
< 0.1%
678900.0 1
< 0.1%
678566.67 1
< 0.1%
678100.0 1
< 0.1%
677533.33 1
< 0.1%
677366.67 1
< 0.1%
677333.33 1
< 0.1%
Distinct2226
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.875102
Minimum0
Maximum71.2
Zeros1261
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:31.244611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.93
median6.19
Q311.2725
95-th percentile21.42
Maximum71.2
Range71.2
Interquartile range (IQR)8.3425

Descriptive statistics

Standard deviation6.9445982
Coefficient of variation (CV)0.88184232
Kurtosis4.3381102
Mean7.875102
Median Absolute Deviation (MAD)3.8
Skewness1.5649654
Sum78751.02
Variance48.227445
MonotonicityNot monotonic
2024-05-04T06:59:31.711066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1261
 
12.6%
1.2 62
 
0.6%
3.6 61
 
0.6%
2.4 59
 
0.6%
4.8 51
 
0.5%
6.0 41
 
0.4%
7.2 29
 
0.3%
8.4 25
 
0.2%
10.8 23
 
0.2%
9.6 17
 
0.2%
Other values (2216) 8371
83.7%
ValueCountFrequency (%)
0.0 1261
12.6%
1.2 62
 
0.6%
1.22 1
 
< 0.1%
1.23 1
 
< 0.1%
1.24 3
 
< 0.1%
1.25 5
 
0.1%
1.26 6
 
0.1%
1.27 3
 
< 0.1%
1.28 4
 
< 0.1%
1.29 5
 
0.1%
ValueCountFrequency (%)
71.2 1
< 0.1%
68.5 1
< 0.1%
64.1 1
< 0.1%
61.01 1
< 0.1%
47.67 1
< 0.1%
47.0 1
< 0.1%
46.6 1
< 0.1%
46.44 1
< 0.1%
45.59 1
< 0.1%
44.71 1
< 0.1%
Distinct9992
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130986.31
Minimum55227.89
Maximum251965.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:32.164886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55227.89
5-th percentile92271.108
Q1111309.62
median126247.52
Q3145989.47
95-th percentile186369.78
Maximum251965.33
Range196737.44
Interquartile range (IQR)34679.855

Descriptive statistics

Standard deviation28200.318
Coefficient of variation (CV)0.21529209
Kurtosis0.77461492
Mean130986.31
Median Absolute Deviation (MAD)16794.945
Skewness0.8234695
Sum1.3098631 × 109
Variance7.9525791 × 108
MonotonicityNot monotonic
2024-05-04T06:59:32.739883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115444.11 2
 
< 0.1%
114465.8 2
 
< 0.1%
121733.33 2
 
< 0.1%
115500.48 2
 
< 0.1%
128630.22 2
 
< 0.1%
106560.46 2
 
< 0.1%
140745.5 2
 
< 0.1%
142983.3 2
 
< 0.1%
133150.75 1
 
< 0.1%
133899.61 1
 
< 0.1%
Other values (9982) 9982
99.8%
ValueCountFrequency (%)
55227.89 1
< 0.1%
58508.0 1
< 0.1%
59072.5 1
< 0.1%
61500.0 1
< 0.1%
63648.45 1
< 0.1%
64565.85 1
< 0.1%
65104.0 1
< 0.1%
65150.0 1
< 0.1%
65168.0 1
< 0.1%
65514.43 1
< 0.1%
ValueCountFrequency (%)
251965.33 1
< 0.1%
247729.35 1
< 0.1%
244365.49 1
< 0.1%
244207.78 1
< 0.1%
243928.47 1
< 0.1%
241526.9 1
< 0.1%
240744.37 1
< 0.1%
240224.85 1
< 0.1%
239995.78 1
< 0.1%
236925.67 1
< 0.1%
Distinct2973
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78814.103
Minimum5333.33
Maximum211200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:33.180957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5333.33
5-th percentile46165.003
Q160224.997
median73200
Q390733.33
95-th percentile134833.33
Maximum211200
Range205866.67
Interquartile range (IQR)30508.333

Descriptive statistics

Standard deviation26837.433
Coefficient of variation (CV)0.34051561
Kurtosis1.678575
Mean78814.103
Median Absolute Deviation (MAD)14700
Skewness1.1754704
Sum7.8814103 × 108
Variance7.2024779 × 108
MonotonicityNot monotonic
2024-05-04T06:59:33.577532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69033.33 16
 
0.2%
62900.0 14
 
0.1%
70866.67 14
 
0.1%
64866.67 14
 
0.1%
71366.67 13
 
0.1%
71400.0 13
 
0.1%
55866.67 13
 
0.1%
59666.67 13
 
0.1%
64966.67 12
 
0.1%
71833.33 12
 
0.1%
Other values (2963) 9866
98.7%
ValueCountFrequency (%)
5333.33 1
< 0.1%
7766.67 1
< 0.1%
7966.67 1
< 0.1%
9200.0 1
< 0.1%
10066.67 1
< 0.1%
10733.33 1
< 0.1%
11266.67 1
< 0.1%
11333.33 1
< 0.1%
13566.67 2
< 0.1%
14866.67 1
< 0.1%
ValueCountFrequency (%)
211200.0 1
< 0.1%
206733.33 1
< 0.1%
206366.67 1
< 0.1%
195900.0 1
< 0.1%
194500.0 1
< 0.1%
194200.0 1
< 0.1%
193766.67 1
< 0.1%
191933.33 1
< 0.1%
191500.0 1
< 0.1%
191066.67 1
< 0.1%
Distinct3491
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123393.21
Minimum18266.67
Maximum268833.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:33.974876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18266.67
5-th percentile80466.67
Q1100966.67
median117966.67
Q3140341.66
95-th percentile187166.67
Maximum268833.33
Range250566.66
Interquartile range (IQR)39374.995

Descriptive statistics

Standard deviation32060.387
Coefficient of variation (CV)0.25982294
Kurtosis0.86317346
Mean123393.21
Median Absolute Deviation (MAD)19033.34
Skewness0.86657013
Sum1.2339321 × 109
Variance1.0278684 × 109
MonotonicityNot monotonic
2024-05-04T06:59:34.362459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96066.67 14
 
0.1%
104666.67 12
 
0.1%
109300.0 12
 
0.1%
111700.0 11
 
0.1%
121333.33 11
 
0.1%
107433.33 11
 
0.1%
121166.67 11
 
0.1%
114733.33 11
 
0.1%
111633.33 10
 
0.1%
118766.67 10
 
0.1%
Other values (3481) 9887
98.9%
ValueCountFrequency (%)
18266.67 1
< 0.1%
31366.67 1
< 0.1%
34666.67 1
< 0.1%
36966.67 1
< 0.1%
38500.0 1
< 0.1%
42000.0 1
< 0.1%
43266.67 1
< 0.1%
43466.67 1
< 0.1%
44466.67 1
< 0.1%
46366.67 1
< 0.1%
ValueCountFrequency (%)
268833.33 1
< 0.1%
263166.67 1
< 0.1%
262233.33 1
< 0.1%
261666.67 1
< 0.1%
261033.33 1
< 0.1%
259300.0 1
< 0.1%
250700.0 1
< 0.1%
250200.0 1
< 0.1%
249200.0 1
< 0.1%
247766.67 1
< 0.1%
Distinct3758
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174967.44
Minimum57000
Maximum335066.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:34.723568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57000
5-th percentile125731.66
Q1150533.33
median170400
Q3194866.67
95-th percentile240975
Maximum335066.67
Range278066.67
Interquartile range (IQR)44333.34

Descriptive statistics

Standard deviation34827.01
Coefficient of variation (CV)0.19904852
Kurtosis0.57007946
Mean174967.44
Median Absolute Deviation (MAD)21733.33
Skewness0.66290817
Sum1.7496744 × 109
Variance1.2129206 × 109
MonotonicityNot monotonic
2024-05-04T06:59:35.145266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171733.33 12
 
0.1%
150200.0 12
 
0.1%
166000.0 11
 
0.1%
157200.0 11
 
0.1%
164066.67 11
 
0.1%
170200.0 11
 
0.1%
146766.67 11
 
0.1%
159633.33 11
 
0.1%
181733.33 10
 
0.1%
149600.0 10
 
0.1%
Other values (3748) 9890
98.9%
ValueCountFrequency (%)
57000.0 1
< 0.1%
67933.33 1
< 0.1%
75400.0 1
< 0.1%
77700.0 1
< 0.1%
85900.0 1
< 0.1%
86266.67 1
< 0.1%
87533.33 1
< 0.1%
88500.0 1
< 0.1%
89866.67 1
< 0.1%
90100.0 1
< 0.1%
ValueCountFrequency (%)
335066.67 1
< 0.1%
334100.0 1
< 0.1%
318866.67 1
< 0.1%
317233.33 1
< 0.1%
311333.33 1
< 0.1%
310866.67 1
< 0.1%
309700.0 1
< 0.1%
308833.33 1
< 0.1%
306833.33 1
< 0.1%
306300.0 1
< 0.1%
Distinct7819
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.15499
Minimum0
Maximum1024.88
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:35.615229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.868
Q166.49
median102.545
Q3151.7175
95-th percentile269.7705
Maximum1024.88
Range1024.88
Interquartile range (IQR)85.2275

Descriptive statistics

Standard deviation81.766396
Coefficient of variation (CV)0.68050768
Kurtosis9.4017073
Mean120.15499
Median Absolute Deviation (MAD)40.72
Skewness2.2342927
Sum1201549.9
Variance6685.7435
MonotonicityNot monotonic
2024-05-04T06:59:36.095253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
0.2%
54.0 11
 
0.1%
43.2 10
 
0.1%
55.2 9
 
0.1%
78.0 9
 
0.1%
72.0 9
 
0.1%
109.2 8
 
0.1%
30.0 8
 
0.1%
31.2 8
 
0.1%
58.8 8
 
0.1%
Other values (7809) 9904
99.0%
ValueCountFrequency (%)
0.0 16
0.2%
2.4 1
 
< 0.1%
3.6 2
 
< 0.1%
3.67 1
 
< 0.1%
4.89 1
 
< 0.1%
5.17 1
 
< 0.1%
5.42 1
 
< 0.1%
5.43 1
 
< 0.1%
5.55 1
 
< 0.1%
5.72 1
 
< 0.1%
ValueCountFrequency (%)
1024.88 1
< 0.1%
819.97 1
< 0.1%
782.16 1
< 0.1%
754.54 1
< 0.1%
754.0 1
< 0.1%
730.38 1
< 0.1%
722.02 1
< 0.1%
701.28 1
< 0.1%
676.48 1
< 0.1%
675.39 1
< 0.1%
Distinct8934
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.2762
Minimum134.55
Maximum795.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:36.585849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134.55
5-th percentile218.518
Q1311.42
median382.765
Q3511.1625
95-th percentile640.0025
Maximum795.38
Range660.83
Interquartile range (IQR)199.7425

Descriptive statistics

Standard deviation131.08798
Coefficient of variation (CV)0.32107671
Kurtosis-0.66724142
Mean408.2762
Median Absolute Deviation (MAD)89.455
Skewness0.38652115
Sum4082762
Variance17184.058
MonotonicityNot monotonic
2024-05-04T06:59:37.015566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300.0 7
 
0.1%
400.0 6
 
0.1%
387.5 5
 
0.1%
500.0 5
 
0.1%
368.02 4
 
< 0.1%
375.72 4
 
< 0.1%
377.78 4
 
< 0.1%
533.33 4
 
< 0.1%
433.33 4
 
< 0.1%
379.4 4
 
< 0.1%
Other values (8924) 9953
99.5%
ValueCountFrequency (%)
134.55 1
< 0.1%
136.09 1
< 0.1%
136.47 1
< 0.1%
142.05 1
< 0.1%
142.81 1
< 0.1%
142.94 1
< 0.1%
144.01 1
< 0.1%
144.67 1
< 0.1%
145.28 1
< 0.1%
145.29 1
< 0.1%
ValueCountFrequency (%)
795.38 1
< 0.1%
793.86 1
< 0.1%
793.33 1
< 0.1%
790.82 1
< 0.1%
789.72 1
< 0.1%
781.48 1
< 0.1%
766.67 1
< 0.1%
766.51 1
< 0.1%
764.02 1
< 0.1%
764.01 1
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.56684
Minimum33.33
Maximum533.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:37.736694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1100
median133.33
Q3200
95-th percentile266.67
Maximum533.33
Range500
Interquartile range (IQR)100

Descriptive statistics

Standard deviation64.963767
Coefficient of variation (CV)0.44628135
Kurtosis0.18372242
Mean145.56684
Median Absolute Deviation (MAD)33.34
Skewness0.64920934
Sum1455668.4
Variance4220.291
MonotonicityNot monotonic
2024-05-04T06:59:38.149199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
100.0 2350
23.5%
133.33 1725
17.2%
166.67 1588
15.9%
66.67 1364
13.6%
200.0 1202
12.0%
233.33 795
 
8.0%
266.67 423
 
4.2%
33.33 280
 
2.8%
300.0 168
 
1.7%
333.33 71
 
0.7%
Other values (5) 34
 
0.3%
ValueCountFrequency (%)
33.33 280
 
2.8%
66.67 1364
13.6%
100.0 2350
23.5%
133.33 1725
17.2%
166.67 1588
15.9%
200.0 1202
12.0%
233.33 795
 
8.0%
266.67 423
 
4.2%
300.0 168
 
1.7%
333.33 71
 
0.7%
ValueCountFrequency (%)
533.33 1
 
< 0.1%
500.0 1
 
< 0.1%
433.33 1
 
< 0.1%
400.0 4
 
< 0.1%
366.67 27
 
0.3%
333.33 71
 
0.7%
300.0 168
 
1.7%
266.67 423
 
4.2%
233.33 795
8.0%
200.0 1202
12.0%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.91984
Minimum66.67
Maximum766.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:38.538703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.67
5-th percentile133.33
Q1233.33
median300
Q3400
95-th percentile533.33
Maximum766.67
Range700
Interquartile range (IQR)166.67

Descriptive statistics

Standard deviation118.92664
Coefficient of variation (CV)0.38748435
Kurtosis-0.34843082
Mean306.91984
Median Absolute Deviation (MAD)100
Skewness0.46255926
Sum3069198.4
Variance14143.545
MonotonicityNot monotonic
2024-05-04T06:59:39.130794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
233.33 1343
13.4%
266.67 1094
10.9%
200.0 1039
10.4%
300.0 940
9.4%
333.33 881
8.8%
366.67 712
7.1%
400.0 653
 
6.5%
166.67 614
 
6.1%
433.33 585
 
5.9%
466.67 473
 
4.7%
Other values (12) 1666
16.7%
ValueCountFrequency (%)
66.67 27
 
0.3%
100.0 297
 
3.0%
133.33 426
 
4.3%
166.67 614
6.1%
200.0 1039
10.4%
233.33 1343
13.4%
266.67 1094
10.9%
300.0 940
9.4%
333.33 881
8.8%
366.67 712
7.1%
ValueCountFrequency (%)
766.67 1
 
< 0.1%
733.33 1
 
< 0.1%
700.0 8
 
0.1%
666.67 14
 
0.1%
633.33 40
 
0.4%
600.0 66
 
0.7%
566.67 149
 
1.5%
533.33 276
2.8%
500.0 361
3.6%
466.67 473
4.7%
Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560.4233
Minimum166.67
Maximum1266.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:39.769132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166.67
5-th percentile300
Q1433.33
median533.33
Q3700
95-th percentile900
Maximum1266.67
Range1100
Interquartile range (IQR)266.67

Descriptive statistics

Standard deviation192.45188
Coefficient of variation (CV)0.34340449
Kurtosis-0.5588126
Mean560.4233
Median Absolute Deviation (MAD)133.33
Skewness0.45413299
Sum5604233
Variance37037.726
MonotonicityNot monotonic
2024-05-04T06:59:40.253129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
466.67 928
 
9.3%
433.33 892
 
8.9%
500.0 779
 
7.8%
400.0 705
 
7.0%
533.33 646
 
6.5%
566.67 520
 
5.2%
366.67 514
 
5.1%
600.0 442
 
4.4%
800.0 369
 
3.7%
333.33 366
 
3.7%
Other values (23) 3839
38.4%
ValueCountFrequency (%)
166.67 19
 
0.2%
200.0 104
 
1.0%
233.33 179
 
1.8%
266.67 192
 
1.9%
300.0 294
 
2.9%
333.33 366
 
3.7%
366.67 514
5.1%
400.0 705
7.0%
433.33 892
8.9%
466.67 928
9.3%
ValueCountFrequency (%)
1266.67 2
 
< 0.1%
1200.0 1
 
< 0.1%
1166.67 1
 
< 0.1%
1133.33 3
 
< 0.1%
1100.0 4
 
< 0.1%
1066.67 14
 
0.1%
1033.33 33
 
0.3%
1000.0 83
0.8%
966.67 115
1.1%
933.33 199
2.0%
Distinct7827
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.26477
Minimum0
Maximum967.94
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:40.846338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.088
Q172.52
median109.12
Q3156.4725
95-th percentile262.3255
Maximum967.94
Range967.94
Interquartile range (IQR)83.9525

Descriptive statistics

Standard deviation81.100461
Coefficient of variation (CV)0.64743233
Kurtosis10.474916
Mean125.26477
Median Absolute Deviation (MAD)40.965
Skewness2.3611443
Sum1252647.7
Variance6577.2848
MonotonicityNot monotonic
2024-05-04T06:59:41.487199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
0.1%
61.2 12
 
0.1%
64.8 9
 
0.1%
46.8 9
 
0.1%
87.6 9
 
0.1%
60.0 9
 
0.1%
98.4 8
 
0.1%
49.2 8
 
0.1%
32.4 8
 
0.1%
38.4 8
 
0.1%
Other values (7817) 9905
99.1%
ValueCountFrequency (%)
0.0 15
0.1%
1.2 1
 
< 0.1%
2.4 1
 
< 0.1%
3.67 1
 
< 0.1%
4.8 2
 
< 0.1%
5.61 1
 
< 0.1%
6.13 1
 
< 0.1%
6.4 1
 
< 0.1%
6.61 1
 
< 0.1%
6.98 1
 
< 0.1%
ValueCountFrequency (%)
967.94 1
< 0.1%
841.95 1
< 0.1%
827.88 1
< 0.1%
788.73 1
< 0.1%
776.7 1
< 0.1%
766.74 1
< 0.1%
722.89 1
< 0.1%
703.11 1
< 0.1%
701.28 1
< 0.1%
691.94 1
< 0.1%
Distinct8093
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.78333
Minimum107.53
Maximum613.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:42.057522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107.53
5-th percentile178.4585
Q1271.3525
median315.665
Q3361.5525
95-th percentile417.2105
Maximum613.89
Range506.36
Interquartile range (IQR)90.2

Descriptive statistics

Standard deviation69.396354
Coefficient of variation (CV)0.22257878
Kurtosis-0.10964906
Mean311.78333
Median Absolute Deviation (MAD)45.08
Skewness-0.3343094
Sum3117833.3
Variance4815.854
MonotonicityNot monotonic
2024-05-04T06:59:42.786251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300.0 13
 
0.1%
266.67 9
 
0.1%
366.67 9
 
0.1%
333.33 7
 
0.1%
283.33 6
 
0.1%
233.33 6
 
0.1%
377.78 6
 
0.1%
317.85 5
 
0.1%
302.59 5
 
0.1%
322.22 5
 
0.1%
Other values (8083) 9929
99.3%
ValueCountFrequency (%)
107.53 1
< 0.1%
113.91 1
< 0.1%
114.79 1
< 0.1%
119.37 1
< 0.1%
120.83 1
< 0.1%
122.52 1
< 0.1%
123.39 1
< 0.1%
125.76 1
< 0.1%
125.89 1
< 0.1%
126.04 1
< 0.1%
ValueCountFrequency (%)
613.89 1
< 0.1%
544.91 1
< 0.1%
525.0 1
< 0.1%
523.93 1
< 0.1%
521.21 1
< 0.1%
515.12 1
< 0.1%
510.87 1
< 0.1%
500.0 1
< 0.1%
494.24 1
< 0.1%
493.48 1
< 0.1%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.47988
Minimum33.33
Maximum366.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:43.310549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile66.67
Q1100
median133.33
Q3133.33
95-th percentile166.67
Maximum366.67
Range333.34
Interquartile range (IQR)33.33

Descriptive statistics

Standard deviation39.57745
Coefficient of variation (CV)0.33688704
Kurtosis0.011254821
Mean117.47988
Median Absolute Deviation (MAD)33.33
Skewness0.11827521
Sum1174798.8
Variance1566.3746
MonotonicityNot monotonic
2024-05-04T06:59:43.786234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
100.0 3115
31.1%
133.33 2972
29.7%
166.67 1599
16.0%
66.67 1474
14.7%
33.33 407
 
4.1%
200.0 380
 
3.8%
233.33 48
 
0.5%
266.67 3
 
< 0.1%
333.33 1
 
< 0.1%
366.67 1
 
< 0.1%
ValueCountFrequency (%)
33.33 407
 
4.1%
66.67 1474
14.7%
100.0 3115
31.1%
133.33 2972
29.7%
166.67 1599
16.0%
200.0 380
 
3.8%
233.33 48
 
0.5%
266.67 3
 
< 0.1%
333.33 1
 
< 0.1%
366.67 1
 
< 0.1%
ValueCountFrequency (%)
366.67 1
 
< 0.1%
333.33 1
 
< 0.1%
266.67 3
 
< 0.1%
233.33 48
 
0.5%
200.0 380
 
3.8%
166.67 1599
16.0%
133.33 2972
29.7%
100.0 3115
31.1%
66.67 1474
14.7%
33.33 407
 
4.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.57655
Minimum33.33
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:44.201162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.33
5-th percentile100
Q1200
median233.33
Q3300
95-th percentile366.67
Maximum500
Range466.67
Interquartile range (IQR)100

Descriptive statistics

Standard deviation69.739591
Coefficient of variation (CV)0.28749519
Kurtosis-0.24148322
Mean242.57655
Median Absolute Deviation (MAD)33.34
Skewness-0.19023737
Sum2425765.5
Variance4863.6106
MonotonicityNot monotonic
2024-05-04T06:59:44.662035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
233.33 1947
19.5%
266.67 1852
18.5%
300.0 1458
14.6%
200.0 1454
14.5%
333.33 919
9.2%
166.67 767
 
7.7%
133.33 530
 
5.3%
100.0 505
 
5.1%
366.67 376
 
3.8%
400.0 102
 
1.0%
Other values (5) 90
 
0.9%
ValueCountFrequency (%)
33.33 1
 
< 0.1%
66.67 64
 
0.6%
100.0 505
 
5.1%
133.33 530
 
5.3%
166.67 767
 
7.7%
200.0 1454
14.5%
233.33 1947
19.5%
266.67 1852
18.5%
300.0 1458
14.6%
333.33 919
9.2%
ValueCountFrequency (%)
500.0 2
 
< 0.1%
466.67 4
 
< 0.1%
433.33 19
 
0.2%
400.0 102
 
1.0%
366.67 376
 
3.8%
333.33 919
9.2%
300.0 1458
14.6%
266.67 1852
18.5%
233.33 1947
19.5%
200.0 1454
14.5%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.36999
Minimum133.33
Maximum866.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:45.165849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133.33
5-th percentile233.33
Q1366.67
median433.33
Q3500
95-th percentile600
Maximum866.67
Range733.34
Interquartile range (IQR)133.33

Descriptive statistics

Standard deviation104.73836
Coefficient of variation (CV)0.24112705
Kurtosis-0.050550773
Mean434.36999
Median Absolute Deviation (MAD)66.67
Skewness-0.30956511
Sum4343699.9
Variance10970.123
MonotonicityNot monotonic
2024-05-04T06:59:45.657973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
433.33 1344
13.4%
400.0 1264
12.6%
466.67 1193
11.9%
500.0 1168
11.7%
533.33 952
9.5%
366.67 931
9.3%
566.67 648
6.5%
333.33 536
 
5.4%
300.0 386
 
3.9%
600.0 373
 
3.7%
Other values (12) 1205
12.0%
ValueCountFrequency (%)
133.33 6
 
0.1%
166.67 89
 
0.9%
200.0 280
 
2.8%
233.33 265
 
2.6%
266.67 317
 
3.2%
300.0 386
 
3.9%
333.33 536
 
5.4%
366.67 931
9.3%
400.0 1264
12.6%
433.33 1344
13.4%
ValueCountFrequency (%)
866.67 2
 
< 0.1%
800.0 1
 
< 0.1%
766.67 5
 
0.1%
733.33 5
 
0.1%
700.0 24
 
0.2%
666.67 58
 
0.6%
633.33 153
 
1.5%
600.0 373
 
3.7%
566.67 648
6.5%
533.33 952
9.5%
Distinct8019
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.51878
Minimum0
Maximum1088.94
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:46.308913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.1395
Q171.89
median111.89
Q3169.34
95-th percentile315.581
Maximum1088.94
Range1088.94
Interquartile range (IQR)97.45

Descriptive statistics

Standard deviation97.328601
Coefficient of variation (CV)0.72353168
Kurtosis9.7293929
Mean134.51878
Median Absolute Deviation (MAD)45.85
Skewness2.3633099
Sum1345187.8
Variance9472.8565
MonotonicityNot monotonic
2024-05-04T06:59:46.920331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
0.1%
72.0 12
 
0.1%
52.8 9
 
0.1%
39.6 8
 
0.1%
45.6 8
 
0.1%
120.0 7
 
0.1%
28.8 7
 
0.1%
42.0 7
 
0.1%
96.0 7
 
0.1%
93.6 7
 
0.1%
Other values (8009) 9915
99.2%
ValueCountFrequency (%)
0.0 13
0.1%
1.2 1
 
< 0.1%
2.4 1
 
< 0.1%
2.44 1
 
< 0.1%
2.86 1
 
< 0.1%
3.6 1
 
< 0.1%
4.41 1
 
< 0.1%
4.8 1
 
< 0.1%
5.08 1
 
< 0.1%
5.15 1
 
< 0.1%
ValueCountFrequency (%)
1088.94 1
< 0.1%
1004.62 1
< 0.1%
991.84 1
< 0.1%
939.96 1
< 0.1%
909.02 1
< 0.1%
883.95 1
< 0.1%
839.94 1
< 0.1%
820.3 1
< 0.1%
809.86 1
< 0.1%
792.93 1
< 0.1%
Distinct559
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.11658
Minimum2.44
Maximum9.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:47.396624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.44
5-th percentile4
Q15.28
median6.24
Q37.03
95-th percentile7.84
Maximum9.17
Range6.73
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.172483
Coefficient of variation (CV)0.19168931
Kurtosis-0.58375652
Mean6.11658
Median Absolute Deviation (MAD)0.86
Skewness-0.34008395
Sum61165.8
Variance1.3747164
MonotonicityNot monotonic
2024-05-04T06:59:48.031898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.87 47
 
0.5%
7.19 45
 
0.4%
6.67 44
 
0.4%
6.6 43
 
0.4%
6.7 43
 
0.4%
6.84 43
 
0.4%
6.55 42
 
0.4%
7.23 42
 
0.4%
6.88 41
 
0.4%
6.76 40
 
0.4%
Other values (549) 9570
95.7%
ValueCountFrequency (%)
2.44 1
< 0.1%
2.75 1
< 0.1%
2.76 1
< 0.1%
2.83 1
< 0.1%
2.86 1
< 0.1%
2.88 1
< 0.1%
2.89 1
< 0.1%
2.92 1
< 0.1%
2.95 1
< 0.1%
2.97 1
< 0.1%
ValueCountFrequency (%)
9.17 2
< 0.1%
8.89 1
< 0.1%
8.75 2
< 0.1%
8.73 1
< 0.1%
8.7 1
< 0.1%
8.66 1
< 0.1%
8.64 1
< 0.1%
8.61 2
< 0.1%
8.6 1
< 0.1%
8.59 2
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3.33
3917 
5.0
2639 
1.67
2445 
6.67
976 
8.33
 
23

Length

Max length4
Median length4
Mean length3.7361
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3.33 3917
39.2%
5.0 2639
26.4%
1.67 2445
24.4%
6.67 976
 
9.8%
8.33 23
 
0.2%

Length

2024-05-04T06:59:48.672800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:59:49.146788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.33 3917
39.2%
5.0 2639
26.4%
1.67 2445
24.4%
6.67 976
 
9.8%
8.33 23
 
0.2%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.187014
Minimum1.67
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:49.649084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q15
median6.67
Q38.33
95-th percentile8.33
Maximum10
Range8.33
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation1.8010379
Coefficient of variation (CV)0.2910997
Kurtosis-0.87985713
Mean6.187014
Median Absolute Deviation (MAD)1.66
Skewness-0.39081782
Sum61870.14
Variance3.2437375
MonotonicityNot monotonic
2024-05-04T06:59:50.157101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6.67 3338
33.4%
8.33 2785
27.9%
5.0 2118
21.2%
3.33 1624
16.2%
1.67 113
 
1.1%
10.0 22
 
0.2%
ValueCountFrequency (%)
1.67 113
 
1.1%
3.33 1624
16.2%
5.0 2118
21.2%
6.67 3338
33.4%
8.33 2785
27.9%
10.0 22
 
0.2%
ValueCountFrequency (%)
10.0 22
 
0.2%
8.33 2785
27.9%
6.67 3338
33.4%
5.0 2118
21.2%
3.33 1624
16.2%
1.67 113
 
1.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.430239
Minimum1.67
Maximum11.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:50.686106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile5
Q18.33
median8.33
Q310
95-th percentile10
Maximum11.67
Range10
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation1.4499087
Coefficient of variation (CV)0.17198904
Kurtosis0.48459928
Mean8.430239
Median Absolute Deviation (MAD)1.66
Skewness-0.8499503
Sum84302.39
Variance2.1022352
MonotonicityNot monotonic
2024-05-04T06:59:51.160661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8.33 4628
46.3%
10.0 3326
33.3%
6.67 1392
 
13.9%
5.0 597
 
6.0%
3.33 52
 
0.5%
11.67 4
 
< 0.1%
1.67 1
 
< 0.1%
ValueCountFrequency (%)
1.67 1
 
< 0.1%
3.33 52
 
0.5%
5.0 597
 
6.0%
6.67 1392
 
13.9%
8.33 4628
46.3%
10.0 3326
33.3%
11.67 4
 
< 0.1%
ValueCountFrequency (%)
11.67 4
 
< 0.1%
10.0 3326
33.3%
8.33 4628
46.3%
6.67 1392
 
13.9%
5.0 597
 
6.0%
3.33 52
 
0.5%
1.67 1
 
< 0.1%
Distinct5668
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.30284
Minimum0
Maximum472.11
Zeros99
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:51.625253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.43
Q120.5175
median33.745
Q351.37
95-th percentile103.4795
Maximum472.11
Range472.11
Interquartile range (IQR)30.8525

Descriptive statistics

Standard deviation38.148317
Coefficient of variation (CV)0.90179091
Kurtosis19.443393
Mean42.30284
Median Absolute Deviation (MAD)14.95
Skewness3.5184827
Sum423028.4
Variance1455.2941
MonotonicityNot monotonic
2024-05-04T06:59:52.162082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 99
 
1.0%
12.0 19
 
0.2%
24.0 19
 
0.2%
9.6 16
 
0.2%
14.4 16
 
0.2%
13.2 15
 
0.1%
22.8 15
 
0.1%
20.4 15
 
0.1%
10.8 15
 
0.1%
16.8 15
 
0.1%
Other values (5658) 9756
97.6%
ValueCountFrequency (%)
0.0 99
1.0%
1.2 3
 
< 0.1%
1.22 1
 
< 0.1%
1.47 1
 
< 0.1%
1.48 1
 
< 0.1%
1.5 1
 
< 0.1%
1.53 1
 
< 0.1%
1.67 1
 
< 0.1%
1.94 1
 
< 0.1%
2.19 1
 
< 0.1%
ValueCountFrequency (%)
472.11 1
< 0.1%
417.56 1
< 0.1%
399.69 1
< 0.1%
395.88 1
< 0.1%
385.94 1
< 0.1%
379.23 1
< 0.1%
371.99 1
< 0.1%
371.51 1
< 0.1%
369.36 1
< 0.1%
354.94 1
< 0.1%
Distinct4036
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.87513
Minimum13.89
Maximum108.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:52.737484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.89
5-th percentile30.0995
Q137.0875
median41.88
Q356.3325
95-th percentile74.19
Maximum108.64
Range94.75
Interquartile range (IQR)19.245

Descriptive statistics

Standard deviation13.944572
Coefficient of variation (CV)0.29748339
Kurtosis-0.28865859
Mean46.87513
Median Absolute Deviation (MAD)6.4
Skewness0.87495737
Sum468751.3
Variance194.4511
MonotonicityNot monotonic
2024-05-04T06:59:53.304003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.77 14
 
0.1%
38.88 14
 
0.1%
37.26 13
 
0.1%
38.45 13
 
0.1%
38.55 12
 
0.1%
37.72 12
 
0.1%
36.76 11
 
0.1%
39.64 11
 
0.1%
38.15 11
 
0.1%
36.37 11
 
0.1%
Other values (4026) 9878
98.8%
ValueCountFrequency (%)
13.89 1
< 0.1%
19.75 1
< 0.1%
21.88 1
< 0.1%
22.26 1
< 0.1%
25.02 1
< 0.1%
25.28 1
< 0.1%
25.43 1
< 0.1%
25.48 1
< 0.1%
25.53 1
< 0.1%
25.6 1
< 0.1%
ValueCountFrequency (%)
108.64 1
< 0.1%
99.35 1
< 0.1%
95.75 1
< 0.1%
95.7 1
< 0.1%
91.24 1
< 0.1%
89.73 1
< 0.1%
89.57 1
< 0.1%
89.37 1
< 0.1%
88.97 1
< 0.1%
88.8 1
< 0.1%
Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.077377
Minimum5
Maximum66.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:53.929210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile16.67
Q123.33
median28.33
Q333.33
95-th percentile36.67
Maximum66.67
Range61.67
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.3584361
Coefficient of variation (CV)0.22646118
Kurtosis-0.37806067
Mean28.077377
Median Absolute Deviation (MAD)5
Skewness-0.14903994
Sum280773.77
Variance40.429709
MonotonicityNot monotonic
2024-05-04T06:59:54.411822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.33 1337
13.4%
30.0 1016
10.2%
31.67 983
9.8%
33.33 884
8.8%
26.67 812
8.1%
35.0 746
 
7.5%
20.0 637
 
6.4%
18.33 586
 
5.9%
25.0 524
 
5.2%
36.67 491
 
4.9%
Other values (20) 1984
19.8%
ValueCountFrequency (%)
5.0 1
 
< 0.1%
8.33 1
 
< 0.1%
10.0 2
 
< 0.1%
11.67 7
 
0.1%
13.33 32
 
0.3%
15.0 148
 
1.5%
16.67 372
3.7%
18.33 586
5.9%
20.0 637
6.4%
21.67 479
4.8%
ValueCountFrequency (%)
66.67 1
 
< 0.1%
53.33 1
 
< 0.1%
51.67 2
 
< 0.1%
50.0 1
 
< 0.1%
48.33 3
 
< 0.1%
46.67 9
 
0.1%
45.0 16
 
0.2%
43.33 34
 
0.3%
41.67 58
0.6%
40.0 112
1.1%
Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.081971
Minimum6.67
Maximum143.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:54.998893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile28.33
Q133.33
median36.67
Q345
95-th percentile61.67
Maximum143.33
Range136.66
Interquartile range (IQR)11.67

Descriptive statistics

Standard deviation10.571951
Coefficient of variation (CV)0.26375827
Kurtosis2.4411542
Mean40.081971
Median Absolute Deviation (MAD)5
Skewness1.3985191
Sum400819.71
Variance111.76616
MonotonicityNot monotonic
2024-05-04T06:59:55.581753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
35.0 1347
13.5%
36.67 943
 
9.4%
33.33 943
 
9.4%
31.67 879
 
8.8%
30.0 825
 
8.2%
38.33 793
 
7.9%
40.0 527
 
5.3%
28.33 473
 
4.7%
41.67 306
 
3.1%
53.33 244
 
2.4%
Other values (38) 2720
27.2%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
20.0 2
 
< 0.1%
21.67 4
 
< 0.1%
23.33 3
 
< 0.1%
25.0 22
 
0.2%
26.67 106
 
1.1%
28.33 473
4.7%
30.0 825
8.2%
31.67 879
8.8%
33.33 943
9.4%
ValueCountFrequency (%)
143.33 1
 
< 0.1%
115.0 1
 
< 0.1%
105.0 1
 
< 0.1%
103.33 1
 
< 0.1%
93.33 1
 
< 0.1%
90.0 1
 
< 0.1%
86.67 3
< 0.1%
85.0 3
< 0.1%
83.33 3
< 0.1%
81.67 5
0.1%
Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.653846
Minimum28.33
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:56.295789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.33
5-th percentile36.67
Q141.67
median48.33
Q370
95-th percentile115
Maximum145
Range116.67
Interquartile range (IQR)28.33

Descriptive statistics

Standard deviation25.729673
Coefficient of variation (CV)0.43131624
Kurtosis0.64187394
Mean59.653846
Median Absolute Deviation (MAD)8.33
Skewness1.3236163
Sum596538.46
Variance662.01605
MonotonicityNot monotonic
2024-05-04T06:59:57.127157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.67 789
 
7.9%
43.33 788
 
7.9%
45.0 633
 
6.3%
40.0 617
 
6.2%
46.67 584
 
5.8%
38.33 478
 
4.8%
48.33 459
 
4.6%
51.67 427
 
4.3%
36.67 395
 
4.0%
50.0 389
 
3.9%
Other values (61) 4441
44.4%
ValueCountFrequency (%)
28.33 2
 
< 0.1%
30.0 2
 
< 0.1%
31.67 5
 
0.1%
33.33 153
 
1.5%
35.0 288
 
2.9%
36.67 395
4.0%
38.33 478
4.8%
40.0 617
6.2%
41.67 789
7.9%
43.33 788
7.9%
ValueCountFrequency (%)
145.0 29
0.3%
143.33 3
 
< 0.1%
141.67 8
 
0.1%
140.0 5
 
0.1%
138.33 16
0.2%
136.67 9
 
0.1%
135.0 16
0.2%
133.33 19
0.2%
131.67 24
0.2%
130.0 19
0.2%
Distinct7423
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.893332
Minimum0
Maximum1217.05
Zeros76
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:57.784036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.119
Q136.3975
median66.405
Q3110.0425
95-th percentile261.192
Maximum1217.05
Range1217.05
Interquartile range (IQR)73.645

Descriptive statistics

Standard deviation100.52794
Coefficient of variation (CV)1.0939634
Kurtosis18.831049
Mean91.893332
Median Absolute Deviation (MAD)34.765
Skewness3.6182064
Sum918933.32
Variance10105.866
MonotonicityNot monotonic
2024-05-04T06:59:58.855620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
 
0.8%
60.0 10
 
0.1%
75.6 9
 
0.1%
16.8 9
 
0.1%
55.2 9
 
0.1%
49.2 9
 
0.1%
63.6 8
 
0.1%
54.0 8
 
0.1%
13.2 8
 
0.1%
84.0 8
 
0.1%
Other values (7413) 9846
98.5%
ValueCountFrequency (%)
0.0 76
0.8%
1.2 4
 
< 0.1%
1.35 1
 
< 0.1%
1.47 1
 
< 0.1%
1.48 1
 
< 0.1%
1.68 1
 
< 0.1%
1.88 1
 
< 0.1%
1.97 1
 
< 0.1%
2.0 1
 
< 0.1%
2.02 1
 
< 0.1%
ValueCountFrequency (%)
1217.05 1
< 0.1%
1084.2 1
< 0.1%
966.99 1
< 0.1%
964.35 1
< 0.1%
962.88 1
< 0.1%
956.26 1
< 0.1%
947.23 1
< 0.1%
940.79 1
< 0.1%
936.55 1
< 0.1%
907.72 1
< 0.1%
Distinct7263
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.74155
Minimum10.61
Maximum201.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T06:59:59.582811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.61
5-th percentile23.5795
Q157.535
median117.505
Q3147.6025
95-th percentile169.651
Maximum201.46
Range190.85
Interquartile range (IQR)90.0675

Descriptive statistics

Standard deviation49.557325
Coefficient of variation (CV)0.4731391
Kurtosis-1.2655778
Mean104.74155
Median Absolute Deviation (MAD)37.985
Skewness-0.33965394
Sum1047415.5
Variance2455.9285
MonotonicityNot monotonic
2024-05-04T07:00:00.335380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.67 5
 
0.1%
143.01 5
 
0.1%
142.07 5
 
0.1%
45.13 5
 
0.1%
151.15 5
 
0.1%
159.99 5
 
0.1%
33.35 5
 
0.1%
116.7 5
 
0.1%
118.33 5
 
0.1%
156.41 5
 
0.1%
Other values (7253) 9950
99.5%
ValueCountFrequency (%)
10.61 1
< 0.1%
11.88 1
< 0.1%
12.18 1
< 0.1%
13.13 1
< 0.1%
13.26 1
< 0.1%
13.76 1
< 0.1%
13.88 1
< 0.1%
13.91 1
< 0.1%
14.26 1
< 0.1%
14.28 1
< 0.1%
ValueCountFrequency (%)
201.46 1
< 0.1%
198.18 1
< 0.1%
196.73 1
< 0.1%
195.83 1
< 0.1%
194.93 1
< 0.1%
193.57 1
< 0.1%
191.68 1
< 0.1%
190.44 1
< 0.1%
189.72 1
< 0.1%
189.47 1
< 0.1%
Distinct75
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.462592
Minimum1.67
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:00.800446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.67
5-th percentile3.33
Q111.67
median45
Q373.33
95-th percentile93.33
Maximum145
Range143.33
Interquartile range (IQR)61.66

Descriptive statistics

Standard deviation31.839237
Coefficient of variation (CV)0.71609045
Kurtosis-1.3642793
Mean44.462592
Median Absolute Deviation (MAD)30
Skewness0.11639334
Sum444625.92
Variance1013.737
MonotonicityNot monotonic
2024-05-04T07:00:01.244863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.33 744
 
7.4%
5.0 476
 
4.8%
6.67 365
 
3.6%
1.67 322
 
3.2%
8.33 301
 
3.0%
10.0 247
 
2.5%
73.33 215
 
2.1%
70.0 205
 
2.1%
75.0 203
 
2.0%
71.67 201
 
2.0%
Other values (65) 6721
67.2%
ValueCountFrequency (%)
1.67 322
3.2%
3.33 744
7.4%
5.0 476
4.8%
6.67 365
3.6%
8.33 301
3.0%
10.0 247
 
2.5%
11.67 193
 
1.9%
13.33 178
 
1.8%
15.0 186
 
1.9%
16.67 171
 
1.7%
ValueCountFrequency (%)
145.0 1
 
< 0.1%
138.33 1
 
< 0.1%
125.0 1
 
< 0.1%
121.67 2
 
< 0.1%
120.0 1
 
< 0.1%
116.67 5
 
0.1%
115.0 6
0.1%
113.33 6
0.1%
111.67 9
0.1%
110.0 14
0.1%
Distinct120
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.793832
Minimum3.33
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:01.904824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q135
median98.33
Q3133.33
95-th percentile161.67
Maximum210
Range206.67
Interquartile range (IQR)98.33

Descriptive statistics

Standard deviation52.258404
Coefficient of variation (CV)0.59524004
Kurtosis-1.3379187
Mean87.793832
Median Absolute Deviation (MAD)45
Skewness-0.13578927
Sum877938.32
Variance2730.9408
MonotonicityNot monotonic
2024-05-04T07:00:02.391752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 235
 
2.4%
6.67 216
 
2.2%
10.0 183
 
1.8%
11.67 170
 
1.7%
13.33 167
 
1.7%
133.33 162
 
1.6%
131.67 157
 
1.6%
130.0 149
 
1.5%
15.0 149
 
1.5%
136.67 143
 
1.4%
Other values (110) 8269
82.7%
ValueCountFrequency (%)
3.33 6
 
0.1%
5.0 88
 
0.9%
6.67 216
2.2%
8.33 235
2.4%
10.0 183
1.8%
11.67 170
1.7%
13.33 167
1.7%
15.0 149
1.5%
16.67 129
1.3%
18.33 121
1.2%
ValueCountFrequency (%)
210.0 1
 
< 0.1%
201.67 1
 
< 0.1%
198.33 1
 
< 0.1%
196.67 3
 
< 0.1%
195.0 4
< 0.1%
193.33 1
 
< 0.1%
191.67 2
 
< 0.1%
190.0 3
 
< 0.1%
188.33 6
0.1%
186.67 8
0.1%
Distinct178
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.48149
Minimum8.33
Maximum323.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:02.811590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.33
5-th percentile28.33
Q179.5825
median165
Q3213.33
95-th percentile255
Maximum323.33
Range315
Interquartile range (IQR)133.7475

Descriptive statistics

Standard deviation75.459243
Coefficient of variation (CV)0.50145198
Kurtosis-1.2266594
Mean150.48149
Median Absolute Deviation (MAD)60
Skewness-0.26987642
Sum1504814.9
Variance5694.0973
MonotonicityNot monotonic
2024-05-04T07:00:03.491657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208.33 139
 
1.4%
213.33 126
 
1.3%
210.0 125
 
1.2%
220.0 117
 
1.2%
225.0 115
 
1.1%
216.67 113
 
1.1%
218.33 108
 
1.1%
205.0 108
 
1.1%
28.33 107
 
1.1%
231.67 107
 
1.1%
Other values (168) 8835
88.3%
ValueCountFrequency (%)
8.33 1
 
< 0.1%
10.0 1
 
< 0.1%
11.67 2
 
< 0.1%
13.33 9
 
0.1%
15.0 7
 
0.1%
16.67 26
 
0.3%
18.33 41
0.4%
20.0 52
0.5%
21.67 77
0.8%
23.33 78
0.8%
ValueCountFrequency (%)
323.33 2
 
< 0.1%
303.33 1
 
< 0.1%
301.67 1
 
< 0.1%
300.0 3
< 0.1%
298.33 1
 
< 0.1%
296.67 1
 
< 0.1%
295.0 1
 
< 0.1%
291.67 4
< 0.1%
290.0 4
< 0.1%
288.33 7
0.1%
Distinct5985
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.515495
Minimum0
Maximum657.16
Zeros158
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:04.159139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9175
Q120.58
median35.495
Q356.885
95-th percentile128.069
Maximum657.16
Range657.16
Interquartile range (IQR)36.305

Descriptive statistics

Standard deviation53.718568
Coefficient of variation (CV)1.1072456
Kurtosis23.054969
Mean48.515495
Median Absolute Deviation (MAD)17.135
Skewness4.0374567
Sum485154.95
Variance2885.6846
MonotonicityNot monotonic
2024-05-04T07:00:04.628741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 158
 
1.6%
21.6 18
 
0.2%
24.0 17
 
0.2%
22.8 16
 
0.2%
31.2 15
 
0.1%
14.4 15
 
0.1%
19.2 15
 
0.1%
28.8 14
 
0.1%
30.0 13
 
0.1%
10.8 13
 
0.1%
Other values (5975) 9706
97.1%
ValueCountFrequency (%)
0.0 158
1.6%
1.2 3
 
< 0.1%
1.35 1
 
< 0.1%
1.47 1
 
< 0.1%
1.48 1
 
< 0.1%
1.53 1
 
< 0.1%
1.56 1
 
< 0.1%
1.88 1
 
< 0.1%
1.91 1
 
< 0.1%
1.94 1
 
< 0.1%
ValueCountFrequency (%)
657.16 1
< 0.1%
593.38 1
< 0.1%
554.26 1
< 0.1%
547.96 1
< 0.1%
547.45 1
< 0.1%
537.48 1
< 0.1%
528.04 1
< 0.1%
517.72 1
< 0.1%
514.4 1
< 0.1%
513.79 1
< 0.1%
Distinct7979
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.00829
Minimum20.81
Maximum330.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:05.032951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.81
5-th percentile34.86
Q185.595
median158.805
Q3202.78
95-th percentile237.563
Maximum330.09
Range309.28
Interquartile range (IQR)117.185

Descriptive statistics

Standard deviation65.903443
Coefficient of variation (CV)0.45136781
Kurtosis-1.1561923
Mean146.00829
Median Absolute Deviation (MAD)52.405
Skewness-0.29757062
Sum1460082.9
Variance4343.2637
MonotonicityNot monotonic
2024-05-04T07:00:05.464929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210.16 7
 
0.1%
216.16 5
 
0.1%
228.96 4
 
< 0.1%
166.15 4
 
< 0.1%
174.03 4
 
< 0.1%
162.87 4
 
< 0.1%
228.3 4
 
< 0.1%
172.0 4
 
< 0.1%
200.81 4
 
< 0.1%
42.63 4
 
< 0.1%
Other values (7969) 9956
99.6%
ValueCountFrequency (%)
20.81 1
< 0.1%
20.9 1
< 0.1%
21.56 1
< 0.1%
21.98 1
< 0.1%
22.11 1
< 0.1%
22.2 1
< 0.1%
22.47 1
< 0.1%
22.49 1
< 0.1%
23.19 1
< 0.1%
23.22 1
< 0.1%
ValueCountFrequency (%)
330.09 1
< 0.1%
321.67 1
< 0.1%
269.31 1
< 0.1%
268.64 1
< 0.1%
267.84 1
< 0.1%
267.63 1
< 0.1%
266.23 1
< 0.1%
265.66 1
< 0.1%
264.85 1
< 0.1%
264.04 1
< 0.1%
Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.456031
Minimum3.33
Maximum273.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:05.899019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile8.33
Q126.67
median65
Q393.33
95-th percentile121.67
Maximum273.33
Range270
Interquartile range (IQR)66.66

Descriptive statistics

Standard deviation37.171789
Coefficient of variation (CV)0.59516732
Kurtosis-1.0444464
Mean62.456031
Median Absolute Deviation (MAD)33.33
Skewness0.13585845
Sum624560.31
Variance1381.7419
MonotonicityNot monotonic
2024-05-04T07:00:06.293847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 258
 
2.6%
8.33 230
 
2.3%
11.67 227
 
2.3%
6.67 227
 
2.3%
18.33 199
 
2.0%
20.0 197
 
2.0%
13.33 183
 
1.8%
30.0 177
 
1.8%
26.67 173
 
1.7%
91.67 168
 
1.7%
Other values (87) 7961
79.6%
ValueCountFrequency (%)
3.33 2
 
< 0.1%
5.0 52
 
0.5%
6.67 227
2.3%
8.33 230
2.3%
10.0 258
2.6%
11.67 227
2.3%
13.33 183
1.8%
15.0 139
1.4%
16.67 151
1.5%
18.33 199
2.0%
ValueCountFrequency (%)
273.33 1
 
< 0.1%
210.0 1
 
< 0.1%
186.67 2
 
< 0.1%
161.67 1
 
< 0.1%
160.0 1
 
< 0.1%
156.67 1
 
< 0.1%
153.33 1
 
< 0.1%
151.67 2
 
< 0.1%
150.0 3
< 0.1%
148.33 6
0.1%
Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.03348
Minimum6.67
Maximum378.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:06.654053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile20
Q156.2525
median128.33
Q3176.67
95-th percentile216.67
Maximum378.33
Range371.66
Interquartile range (IQR)120.4175

Descriptive statistics

Standard deviation65.791186
Coefficient of variation (CV)0.54810694
Kurtosis-1.2396601
Mean120.03348
Median Absolute Deviation (MAD)56.67
Skewness-0.083635629
Sum1200334.8
Variance4328.4802
MonotonicityNot monotonic
2024-05-04T07:00:07.238392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.67 146
 
1.5%
16.67 133
 
1.3%
23.33 131
 
1.3%
20.0 129
 
1.3%
26.67 129
 
1.3%
173.33 124
 
1.2%
25.0 121
 
1.2%
28.33 119
 
1.2%
30.0 114
 
1.1%
175.0 114
 
1.1%
Other values (146) 8740
87.4%
ValueCountFrequency (%)
6.67 1
 
< 0.1%
10.0 1
 
< 0.1%
11.67 3
 
< 0.1%
13.33 30
 
0.3%
15.0 114
1.1%
16.67 133
1.3%
18.33 107
1.1%
20.0 129
1.3%
21.67 146
1.5%
23.33 131
1.3%
ValueCountFrequency (%)
378.33 1
 
< 0.1%
335.0 1
 
< 0.1%
271.67 1
 
< 0.1%
265.0 1
 
< 0.1%
263.33 1
 
< 0.1%
261.67 1
 
< 0.1%
256.67 4
< 0.1%
255.0 1
 
< 0.1%
253.33 1
 
< 0.1%
251.67 1
 
< 0.1%
Distinct247
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.75921
Minimum23.33
Maximum465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:07.692437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.33
5-th percentile38.33
Q1111.67
median221.67
Q3291.67
95-th percentile356.67
Maximum465
Range441.67
Interquartile range (IQR)180

Descriptive statistics

Standard deviation103.27892
Coefficient of variation (CV)0.49951302
Kurtosis-1.122286
Mean206.75921
Median Absolute Deviation (MAD)85
Skewness-0.18005438
Sum2067592.1
Variance10666.535
MonotonicityNot monotonic
2024-05-04T07:00:08.066108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 103
 
1.0%
305.0 85
 
0.9%
36.67 85
 
0.9%
38.33 83
 
0.8%
311.67 77
 
0.8%
286.67 74
 
0.7%
40.0 74
 
0.7%
291.67 72
 
0.7%
303.33 72
 
0.7%
285.0 72
 
0.7%
Other values (237) 9203
92.0%
ValueCountFrequency (%)
23.33 1
 
< 0.1%
25.0 4
 
< 0.1%
26.67 20
 
0.2%
28.33 62
0.6%
30.0 103
1.0%
31.67 66
0.7%
33.33 69
0.7%
35.0 68
0.7%
36.67 85
0.9%
38.33 83
0.8%
ValueCountFrequency (%)
465.0 3
< 0.1%
441.67 1
 
< 0.1%
435.0 2
< 0.1%
431.67 1
 
< 0.1%
430.0 1
 
< 0.1%
426.67 2
< 0.1%
425.0 3
< 0.1%
423.33 1
 
< 0.1%
420.0 3
< 0.1%
418.33 4
< 0.1%
Distinct7787
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.33423
Minimum0
Maximum1110.29
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:08.477993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.83
Q149.7925
median88.11
Q3139.4525
95-th percentile272.763
Maximum1110.29
Range1110.29
Interquartile range (IQR)89.66

Descriptive statistics

Standard deviation97.182493
Coefficient of variation (CV)0.88080093
Kurtosis14.038097
Mean110.33423
Median Absolute Deviation (MAD)42.84
Skewness2.9673964
Sum1103342.3
Variance9444.437
MonotonicityNot monotonic
2024-05-04T07:00:08.928944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
0.2%
85.2 10
 
0.1%
64.8 9
 
0.1%
28.8 9
 
0.1%
51.6 9
 
0.1%
62.4 9
 
0.1%
56.4 8
 
0.1%
14.4 8
 
0.1%
80.4 8
 
0.1%
12.0 7
 
0.1%
Other values (7777) 9898
99.0%
ValueCountFrequency (%)
0.0 25
0.2%
2.4 2
 
< 0.1%
2.44 1
 
< 0.1%
2.55 1
 
< 0.1%
2.74 1
 
< 0.1%
2.86 1
 
< 0.1%
2.94 1
 
< 0.1%
2.96 1
 
< 0.1%
3.46 2
 
< 0.1%
3.48 1
 
< 0.1%
ValueCountFrequency (%)
1110.29 1
< 0.1%
950.12 1
< 0.1%
937.41 1
< 0.1%
915.71 1
< 0.1%
900.38 1
< 0.1%
893.38 1
< 0.1%
883.73 1
< 0.1%
868.33 1
< 0.1%
864.51 1
< 0.1%
843.69 1
< 0.1%
Distinct3506
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.830225
Minimum4.72
Maximum59.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:09.437348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.72
5-th percentile11.61
Q119.13
median28.44
Q336.1525
95-th percentile43.42
Maximum59.62
Range54.9
Interquartile range (IQR)17.0225

Descriptive statistics

Standard deviation10.252355
Coefficient of variation (CV)0.36838922
Kurtosis-1.0582839
Mean27.830225
Median Absolute Deviation (MAD)8.635
Skewness-0.026258631
Sum278302.25
Variance105.11078
MonotonicityNot monotonic
2024-05-04T07:00:09.850092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.2 12
 
0.1%
29.94 11
 
0.1%
41.03 11
 
0.1%
30.67 11
 
0.1%
29.11 10
 
0.1%
17.43 10
 
0.1%
27.14 10
 
0.1%
42.88 9
 
0.1%
40.86 9
 
0.1%
29.38 9
 
0.1%
Other values (3496) 9898
99.0%
ValueCountFrequency (%)
4.72 1
< 0.1%
5.23 1
< 0.1%
5.59 1
< 0.1%
6.51 1
< 0.1%
6.67 2
< 0.1%
6.83 1
< 0.1%
7.06 1
< 0.1%
7.07 1
< 0.1%
7.12 1
< 0.1%
7.15 1
< 0.1%
ValueCountFrequency (%)
59.62 1
< 0.1%
57.5 1
< 0.1%
53.18 1
< 0.1%
52.17 1
< 0.1%
51.67 1
< 0.1%
51.11 1
< 0.1%
50.75 1
< 0.1%
50.47 1
< 0.1%
50.34 1
< 0.1%
50.1 1
< 0.1%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.782995
Minimum1.67
Maximum36.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:10.232922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation5.0422601
Coefficient of variation (CV)0.57409347
Kurtosis-0.75855277
Mean8.782995
Median Absolute Deviation (MAD)5
Skewness0.426164
Sum87829.95
Variance25.424387
MonotonicityNot monotonic
2024-05-04T07:00:10.547292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.33 1898
19.0%
5.0 1275
12.8%
10.0 965
9.7%
11.67 917
9.2%
13.33 868
8.7%
8.33 868
8.7%
6.67 810
8.1%
15.0 702
 
7.0%
1.67 629
 
6.3%
16.67 585
 
5.9%
Other values (9) 483
 
4.8%
ValueCountFrequency (%)
1.67 629
 
6.3%
3.33 1898
19.0%
5.0 1275
12.8%
6.67 810
8.1%
8.33 868
8.7%
10.0 965
9.7%
11.67 917
9.2%
13.33 868
8.7%
15.0 702
 
7.0%
16.67 585
 
5.9%
ValueCountFrequency (%)
36.67 1
 
< 0.1%
31.67 1
 
< 0.1%
28.33 2
 
< 0.1%
26.67 3
 
< 0.1%
25.0 1
 
< 0.1%
23.33 12
 
0.1%
21.67 26
 
0.3%
20.0 98
 
1.0%
18.33 339
3.4%
16.67 585
5.9%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.541546
Minimum3.33
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:11.024304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile5
Q110
median20
Q328.33
95-th percentile36.67
Maximum55
Range51.67
Interquartile range (IQR)18.33

Descriptive statistics

Standard deviation10.238537
Coefficient of variation (CV)0.52393691
Kurtosis-1.1117025
Mean19.541546
Median Absolute Deviation (MAD)8.33
Skewness0.16558363
Sum195415.46
Variance104.82764
MonotonicityNot monotonic
2024-05-04T07:00:11.405082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.0 736
 
7.4%
6.67 644
 
6.4%
8.33 577
 
5.8%
25.0 568
 
5.7%
10.0 552
 
5.5%
11.67 526
 
5.3%
23.33 523
 
5.2%
21.67 511
 
5.1%
33.33 481
 
4.8%
18.33 470
 
4.7%
Other values (19) 4412
44.1%
ValueCountFrequency (%)
3.33 199
 
2.0%
5.0 736
7.4%
6.67 644
6.4%
8.33 577
5.8%
10.0 552
5.5%
11.67 526
5.3%
13.33 433
4.3%
15.0 359
3.6%
16.67 432
4.3%
18.33 470
4.7%
ValueCountFrequency (%)
55.0 1
 
< 0.1%
50.0 1
 
< 0.1%
46.67 4
 
< 0.1%
45.0 7
 
0.1%
43.33 15
 
0.1%
41.67 20
 
0.2%
40.0 61
 
0.6%
38.33 138
 
1.4%
36.67 284
2.8%
35.0 386
3.9%
Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.648291
Minimum5
Maximum98.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:11.798897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.67
Q125
median40
Q353.33
95-th percentile66.67
Maximum98.33
Range93.33
Interquartile range (IQR)28.33

Descriptive statistics

Standard deviation17.380234
Coefficient of variation (CV)0.43836023
Kurtosis-0.85285995
Mean39.648291
Median Absolute Deviation (MAD)13.33
Skewness0.11452695
Sum396482.91
Variance302.07253
MonotonicityNot monotonic
2024-05-04T07:00:12.284151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.33 396
 
4.0%
45.0 377
 
3.8%
41.67 371
 
3.7%
40.0 358
 
3.6%
38.33 353
 
3.5%
28.33 307
 
3.1%
35.0 304
 
3.0%
31.67 304
 
3.0%
46.67 302
 
3.0%
60.0 290
 
2.9%
Other values (45) 6638
66.4%
ValueCountFrequency (%)
5.0 5
 
0.1%
6.67 35
 
0.4%
8.33 111
1.1%
10.0 173
1.7%
11.67 190
1.9%
13.33 195
1.9%
15.0 252
2.5%
16.67 254
2.5%
18.33 255
2.5%
20.0 261
2.6%
ValueCountFrequency (%)
98.33 5
 
0.1%
95.0 1
 
< 0.1%
91.67 2
 
< 0.1%
90.0 1
 
< 0.1%
88.33 3
 
< 0.1%
86.67 2
 
< 0.1%
85.0 5
 
0.1%
83.33 5
 
0.1%
81.67 4
 
< 0.1%
80.0 14
0.1%

유튜브 사용 미추정 인구수
Real number (ℝ)

ZEROS 

Distinct4780
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.350056
Minimum0
Maximum441.27
Zeros379
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:13.016755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.5595
Q111.42
median21.19
Q334.3925
95-th percentile82.172
Maximum441.27
Range441.27
Interquartile range (IQR)22.9725

Descriptive statistics

Standard deviation34.742694
Coefficient of variation (CV)1.1837352
Kurtosis24.573251
Mean29.350056
Median Absolute Deviation (MAD)11.02
Skewness4.1753459
Sum293500.56
Variance1207.0548
MonotonicityNot monotonic
2024-05-04T07:00:13.612539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 379
 
3.8%
9.6 25
 
0.2%
6.0 24
 
0.2%
14.4 24
 
0.2%
4.8 23
 
0.2%
12.0 21
 
0.2%
16.8 18
 
0.2%
8.4 17
 
0.2%
19.2 17
 
0.2%
7.2 17
 
0.2%
Other values (4770) 9435
94.3%
ValueCountFrequency (%)
0.0 379
3.8%
1.2 9
 
0.1%
1.22 1
 
< 0.1%
1.29 1
 
< 0.1%
1.41 2
 
< 0.1%
1.46 1
 
< 0.1%
1.47 2
 
< 0.1%
1.48 2
 
< 0.1%
1.53 1
 
< 0.1%
1.56 1
 
< 0.1%
ValueCountFrequency (%)
441.27 1
< 0.1%
380.05 1
< 0.1%
378.49 1
< 0.1%
369.61 1
< 0.1%
356.12 1
< 0.1%
346.22 1
< 0.1%
342.77 1
< 0.1%
335.56 1
< 0.1%
331.15 1
< 0.1%
327.79 1
< 0.1%

유튜브 사용일수
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.054458
Minimum-0.73
Maximum0.4
Zeros175
Zeros (%)1.8%
Negative5902
Negative (%)59.0%
Memory size166.0 KiB
2024-05-04T07:00:14.218021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.73
5-th percentile-0.48
Q1-0.15
median-0.05
Q30.1
95-th percentile0.26
Maximum0.4
Range1.13
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.20448058
Coefficient of variation (CV)-3.7548309
Kurtosis0.59391082
Mean-0.054458
Median Absolute Deviation (MAD)0.12
Skewness-0.69052516
Sum-544.58
Variance0.041812307
MonotonicityNot monotonic
2024-05-04T07:00:14.634303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13 312
 
3.1%
-0.12 279
 
2.8%
-0.14 264
 
2.6%
-0.15 264
 
2.6%
-0.11 255
 
2.5%
-0.1 241
 
2.4%
-0.04 225
 
2.2%
-0.02 224
 
2.2%
-0.09 220
 
2.2%
-0.03 220
 
2.2%
Other values (102) 7496
75.0%
ValueCountFrequency (%)
-0.73 1
 
< 0.1%
-0.72 4
 
< 0.1%
-0.71 1
 
< 0.1%
-0.7 6
 
0.1%
-0.68 11
 
0.1%
-0.67 11
 
0.1%
-0.66 23
0.2%
-0.65 28
0.3%
-0.64 34
0.3%
-0.63 29
0.3%
ValueCountFrequency (%)
0.4 1
 
< 0.1%
0.38 2
 
< 0.1%
0.37 2
 
< 0.1%
0.36 3
 
< 0.1%
0.35 1
 
< 0.1%
0.34 1
 
< 0.1%
0.33 4
 
< 0.1%
0.32 13
 
0.1%
0.31 22
0.2%
0.3 42
0.4%
Distinct166
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.224803
Minimum-1.33
Maximum0.34
Zeros120
Zeros (%)1.2%
Negative7842
Negative (%)78.4%
Memory size166.0 KiB
2024-05-04T07:00:15.151919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.33
5-th percentile-0.8
Q1-0.33
median-0.21
Q3-0.03
95-th percentile0.1605
Maximum0.34
Range1.67
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.28815705
Coefficient of variation (CV)-1.2818203
Kurtosis2.7621927
Mean-0.224803
Median Absolute Deviation (MAD)0.15
Skewness-1.3329973
Sum-2248.03
Variance0.083034485
MonotonicityNot monotonic
2024-05-04T07:00:15.670991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.27 256
 
2.6%
-0.29 253
 
2.5%
-0.28 252
 
2.5%
-0.3 242
 
2.4%
-0.26 228
 
2.3%
-0.31 214
 
2.1%
-0.25 207
 
2.1%
-0.23 199
 
2.0%
-0.24 199
 
2.0%
-0.32 183
 
1.8%
Other values (156) 7767
77.7%
ValueCountFrequency (%)
-1.33 126
1.3%
-1.32 2
 
< 0.1%
-1.31 1
 
< 0.1%
-1.3 1
 
< 0.1%
-1.29 1
 
< 0.1%
-1.27 1
 
< 0.1%
-1.26 2
 
< 0.1%
-1.25 9
 
0.1%
-1.24 4
 
< 0.1%
-1.23 2
 
< 0.1%
ValueCountFrequency (%)
0.34 1
 
< 0.1%
0.33 2
 
< 0.1%
0.32 1
 
< 0.1%
0.31 1
 
< 0.1%
0.3 2
 
< 0.1%
0.28 3
 
< 0.1%
0.27 1
 
< 0.1%
0.26 2
 
< 0.1%
0.25 6
0.1%
0.24 10
0.1%
Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017675
Minimum-0.76
Maximum0.43
Zeros109
Zeros (%)1.1%
Negative4468
Negative (%)44.7%
Memory size166.0 KiB
2024-05-04T07:00:16.147434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.76
5-th percentile-0.41
Q1-0.1
median0.03
Q30.17
95-th percentile0.33
Maximum0.43
Range1.19
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.21000861
Coefficient of variation (CV)11.881675
Kurtosis0.58868954
Mean0.017675
Median Absolute Deviation (MAD)0.13
Skewness-0.6859264
Sum176.75
Variance0.044103615
MonotonicityNot monotonic
2024-05-04T07:00:16.712260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1 292
 
2.9%
-0.08 288
 
2.9%
-0.09 267
 
2.7%
-0.07 259
 
2.6%
-0.11 229
 
2.3%
-0.06 224
 
2.2%
0.17 219
 
2.2%
-0.05 210
 
2.1%
0.03 206
 
2.1%
-0.04 205
 
2.1%
Other values (104) 7601
76.0%
ValueCountFrequency (%)
-0.76 1
 
< 0.1%
-0.69 2
 
< 0.1%
-0.68 3
 
< 0.1%
-0.67 2
 
< 0.1%
-0.66 2
 
< 0.1%
-0.65 3
 
< 0.1%
-0.64 10
0.1%
-0.63 9
0.1%
-0.62 12
0.1%
-0.61 19
0.2%
ValueCountFrequency (%)
0.43 1
 
< 0.1%
0.42 2
 
< 0.1%
0.41 1
 
< 0.1%
0.4 4
 
< 0.1%
0.39 10
 
0.1%
0.38 12
 
0.1%
0.37 35
 
0.4%
0.36 64
 
0.6%
0.35 138
1.4%
0.34 160
1.6%
Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.200798
Minimum-0.36
Maximum0.51
Zeros55
Zeros (%)0.5%
Negative918
Negative (%)9.2%
Memory size166.0 KiB
2024-05-04T07:00:17.330254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.36
5-th percentile-0.08
Q10.1
median0.2
Q30.31
95-th percentile0.45
Maximum0.51
Range0.87
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.15699034
Coefficient of variation (CV)0.7818322
Kurtosis0.10026049
Mean0.200798
Median Absolute Deviation (MAD)0.11
Skewness-0.45485624
Sum2007.98
Variance0.024645968
MonotonicityNot monotonic
2024-05-04T07:00:17.945001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 329
 
3.3%
0.11 285
 
2.9%
0.08 283
 
2.8%
0.09 280
 
2.8%
0.33 271
 
2.7%
0.3 269
 
2.7%
0.17 262
 
2.6%
0.29 254
 
2.5%
0.31 254
 
2.5%
0.2 243
 
2.4%
Other values (76) 7270
72.7%
ValueCountFrequency (%)
-0.36 1
 
< 0.1%
-0.34 2
 
< 0.1%
-0.32 4
 
< 0.1%
-0.31 4
 
< 0.1%
-0.3 4
 
< 0.1%
-0.29 7
0.1%
-0.28 10
0.1%
-0.27 9
0.1%
-0.26 16
0.2%
-0.25 16
0.2%
ValueCountFrequency (%)
0.51 2
 
< 0.1%
0.5 5
 
0.1%
0.49 4
 
< 0.1%
0.48 32
 
0.3%
0.47 96
1.0%
0.46 178
1.8%
0.45 213
2.1%
0.44 223
2.2%
0.43 159
1.6%
0.42 139
1.4%
Distinct9244
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452.45554
Minimum0
Maximum1879.29
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:18.402967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133.7675
Q1273.5425
median405.795
Q3592.235
95-th percentile924.8255
Maximum1879.29
Range1879.29
Interquartile range (IQR)318.6925

Descriptive statistics

Standard deviation245.97737
Coefficient of variation (CV)0.54364981
Kurtosis1.2675048
Mean452.45554
Median Absolute Deviation (MAD)151.835
Skewness0.99533109
Sum4524555.4
Variance60504.867
MonotonicityNot monotonic
2024-05-04T07:00:18.915622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312.0 5
 
0.1%
398.4 5
 
0.1%
110.4 5
 
0.1%
297.6 5
 
0.1%
193.2 4
 
< 0.1%
282.0 4
 
< 0.1%
240.0 4
 
< 0.1%
332.4 4
 
< 0.1%
442.8 4
 
< 0.1%
392.4 4
 
< 0.1%
Other values (9234) 9956
99.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
6.0 1
< 0.1%
6.11 1
< 0.1%
8.4 1
< 0.1%
13.2 1
< 0.1%
14.75 1
< 0.1%
15.23 1
< 0.1%
17.61 1
< 0.1%
17.94 1
< 0.1%
18.95 1
< 0.1%
ValueCountFrequency (%)
1879.29 1
< 0.1%
1825.6 1
< 0.1%
1803.03 1
< 0.1%
1706.55 1
< 0.1%
1704.66 1
< 0.1%
1645.73 1
< 0.1%
1623.05 1
< 0.1%
1603.53 1
< 0.1%
1595.06 1
< 0.1%
1533.48 1
< 0.1%

넷플릭스 사용일수
Real number (ℝ)

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.398057
Minimum-0.67
Maximum0.34
Zeros2
Zeros (%)< 0.1%
Negative9994
Negative (%)99.9%
Memory size166.0 KiB
2024-05-04T07:00:19.579174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.65
Q1-0.61
median-0.39
Q3-0.21
95-th percentile-0.12
Maximum0.34
Range1.01
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.19463705
Coefficient of variation (CV)-0.4889678
Kurtosis-1.5201406
Mean-0.398057
Median Absolute Deviation (MAD)0.2
Skewness0.035585218
Sum-3980.57
Variance0.037883583
MonotonicityNot monotonic
2024-05-04T07:00:20.030857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.65 632
 
6.3%
-0.64 485
 
4.9%
-0.63 429
 
4.3%
-0.66 359
 
3.6%
-0.62 320
 
3.2%
-0.61 299
 
3.0%
-0.17 271
 
2.7%
-0.2 268
 
2.7%
-0.18 261
 
2.6%
-0.19 250
 
2.5%
Other values (61) 6426
64.3%
ValueCountFrequency (%)
-0.67 12
 
0.1%
-0.66 359
3.6%
-0.65 632
6.3%
-0.64 485
4.9%
-0.63 429
4.3%
-0.62 320
3.2%
-0.61 299
3.0%
-0.6 231
 
2.3%
-0.59 200
 
2.0%
-0.58 155
 
1.6%
ValueCountFrequency (%)
0.34 1
 
< 0.1%
0.09 1
 
< 0.1%
0.08 1
 
< 0.1%
0.02 1
 
< 0.1%
0.0 2
 
< 0.1%
-0.02 5
 
0.1%
-0.03 2
 
< 0.1%
-0.04 6
 
0.1%
-0.05 14
0.1%
-0.06 17
0.2%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.668425
Minimum-0.67
Maximum0.22
Zeros0
Zeros (%)0.0%
Negative9998
Negative (%)> 99.9%
Memory size166.0 KiB
2024-05-04T07:00:20.555147image/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
Maximum0.22
Range0.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.018979605
Coefficient of variation (CV)-0.028394517
Kurtosis831.1938
Mean-0.668425
Median Absolute Deviation (MAD)0
Skewness23.519387
Sum-6684.25
Variance0.0003602254
MonotonicityNot monotonic
2024-05-04T07:00:20.999407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-0.67 9877
98.8%
-0.56 14
 
0.1%
-0.59 12
 
0.1%
-0.55 11
 
0.1%
-0.57 10
 
0.1%
-0.54 7
 
0.1%
-0.52 7
 
0.1%
-0.48 6
 
0.1%
-0.66 6
 
0.1%
-0.61 6
 
0.1%
Other values (19) 44
 
0.4%
ValueCountFrequency (%)
-0.67 9877
98.8%
-0.66 6
 
0.1%
-0.65 3
 
< 0.1%
-0.64 1
 
< 0.1%
-0.63 5
 
0.1%
-0.62 4
 
< 0.1%
-0.61 6
 
0.1%
-0.6 4
 
< 0.1%
-0.59 12
 
0.1%
-0.58 3
 
< 0.1%
ValueCountFrequency (%)
0.22 1
< 0.1%
0.08 1
< 0.1%
-0.15 1
< 0.1%
-0.32 1
< 0.1%
-0.39 2
< 0.1%
-0.4 1
< 0.1%
-0.42 2
< 0.1%
-0.43 1
< 0.1%
-0.46 2
< 0.1%
-0.47 1
< 0.1%
Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.483066
Minimum-0.67
Maximum0.28
Zeros28
Zeros (%)0.3%
Negative9733
Negative (%)97.3%
Memory size166.0 KiB
2024-05-04T07:00:21.490868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.67
Q3-0.24
95-th percentile-0.05
Maximum0.28
Range0.95
Interquartile range (IQR)0.43

Descriptive statistics

Standard deviation0.24335411
Coefficient of variation (CV)-0.50376989
Kurtosis-1.0070081
Mean-0.483066
Median Absolute Deviation (MAD)0
Skewness0.78770587
Sum-4830.66
Variance0.059221222
MonotonicityNot monotonic
2024-05-04T07:00:22.051191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 5735
57.4%
-0.12 138
 
1.4%
-0.1 125
 
1.2%
-0.15 124
 
1.2%
-0.18 119
 
1.2%
-0.14 116
 
1.2%
-0.13 115
 
1.1%
-0.09 113
 
1.1%
-0.16 111
 
1.1%
-0.17 110
 
1.1%
Other values (78) 3194
31.9%
ValueCountFrequency (%)
-0.67 5735
57.4%
-0.66 7
 
0.1%
-0.65 8
 
0.1%
-0.64 7
 
0.1%
-0.63 7
 
0.1%
-0.62 6
 
0.1%
-0.61 8
 
0.1%
-0.6 12
 
0.1%
-0.59 12
 
0.1%
-0.58 13
 
0.1%
ValueCountFrequency (%)
0.28 1
 
< 0.1%
0.22 1
 
< 0.1%
0.21 2
 
< 0.1%
0.18 1
 
< 0.1%
0.17 1
 
< 0.1%
0.15 3
< 0.1%
0.14 2
 
< 0.1%
0.13 1
 
< 0.1%
0.12 5
0.1%
0.11 3
< 0.1%
Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.199174
Minimum-0.67
Maximum0.45
Zeros37
Zeros (%)0.4%
Negative5408
Negative (%)54.1%
Memory size166.0 KiB
2024-05-04T07:00:22.424369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.67
5-th percentile-0.67
Q1-0.67
median-0.1
Q30.21
95-th percentile0.28
Maximum0.45
Range1.12
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.40490882
Coefficient of variation (CV)-2.0329401
Kurtosis-1.7826322
Mean-0.199174
Median Absolute Deviation (MAD)0.36
Skewness-0.1122954
Sum-1991.74
Variance0.16395115
MonotonicityNot monotonic
2024-05-04T07:00:22.925563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.67 3707
37.1%
0.25 365
 
3.6%
0.23 323
 
3.2%
0.24 319
 
3.2%
0.22 315
 
3.1%
0.26 313
 
3.1%
0.21 270
 
2.7%
0.2 249
 
2.5%
0.27 245
 
2.5%
0.28 198
 
2.0%
Other values (97) 3696
37.0%
ValueCountFrequency (%)
-0.67 3707
37.1%
-0.66 4
 
< 0.1%
-0.65 1
 
< 0.1%
-0.63 9
 
0.1%
-0.62 2
 
< 0.1%
-0.61 4
 
< 0.1%
-0.6 3
 
< 0.1%
-0.59 6
 
0.1%
-0.58 7
 
0.1%
-0.57 8
 
0.1%
ValueCountFrequency (%)
0.45 1
 
< 0.1%
0.42 1
 
< 0.1%
0.39 2
 
< 0.1%
0.37 5
 
0.1%
0.36 2
 
< 0.1%
0.35 5
 
0.1%
0.34 9
 
0.1%
0.33 14
 
0.1%
0.32 27
0.3%
0.31 63
0.6%
Distinct9279
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean406.54232
Minimum0
Maximum1860.65
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:23.430546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.85
Q1181.885
median343.925
Q3569.935
95-th percentile946.326
Maximum1860.65
Range1860.65
Interquartile range (IQR)388.05

Descriptive statistics

Standard deviation279.30528
Coefficient of variation (CV)0.68702635
Kurtosis0.9554075
Mean406.54232
Median Absolute Deviation (MAD)182.425
Skewness1.0347861
Sum4065423.2
Variance78011.441
MonotonicityNot monotonic
2024-05-04T07:00:23.947491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387.6 6
 
0.1%
390.0 4
 
< 0.1%
141.0 4
 
< 0.1%
396.0 4
 
< 0.1%
206.4 4
 
< 0.1%
300.0 4
 
< 0.1%
498.0 4
 
< 0.1%
132.54 4
 
< 0.1%
151.2 4
 
< 0.1%
511.2 4
 
< 0.1%
Other values (9269) 9958
99.6%
ValueCountFrequency (%)
0.0 4
< 0.1%
4.8 3
< 0.1%
6.11 1
 
< 0.1%
6.93 1
 
< 0.1%
7.18 1
 
< 0.1%
8.04 1
 
< 0.1%
9.6 1
 
< 0.1%
10.16 1
 
< 0.1%
10.57 1
 
< 0.1%
10.8 1
 
< 0.1%
ValueCountFrequency (%)
1860.65 1
< 0.1%
1819.22 1
< 0.1%
1808.61 1
< 0.1%
1795.92 1
< 0.1%
1728.91 1
< 0.1%
1707.22 1
< 0.1%
1692.12 1
< 0.1%
1681.35 1
< 0.1%
1641.52 1
< 0.1%
1615.17 1
< 0.1%
Distinct1517
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.456277
Minimum0
Maximum35
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:24.550269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.71
Q19.58
median12.79
Q315.41
95-th percentile18.2205
Maximum35
Range35
Interquartile range (IQR)5.83

Descriptive statistics

Standard deviation3.9945588
Coefficient of variation (CV)0.32068641
Kurtosis0.48616251
Mean12.456277
Median Absolute Deviation (MAD)2.88
Skewness-0.15529683
Sum124562.77
Variance15.9565
MonotonicityNot monotonic
2024-05-04T07:00:24.988929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.33 65
 
0.7%
6.67 65
 
0.7%
10.0 62
 
0.6%
11.67 51
 
0.5%
3.33 45
 
0.4%
5.0 43
 
0.4%
13.33 39
 
0.4%
10.83 37
 
0.4%
9.17 35
 
0.4%
0.0 35
 
0.4%
Other values (1507) 9523
95.2%
ValueCountFrequency (%)
0.0 35
0.4%
1.67 34
0.3%
2.0 1
 
< 0.1%
2.08 3
 
< 0.1%
2.14 1
 
< 0.1%
2.22 1
 
< 0.1%
2.33 1
 
< 0.1%
2.38 1
 
< 0.1%
2.5 19
0.2%
2.62 2
 
< 0.1%
ValueCountFrequency (%)
35.0 4
< 0.1%
33.33 3
< 0.1%
31.67 2
 
< 0.1%
29.44 1
 
< 0.1%
28.33 5
0.1%
27.22 1
 
< 0.1%
26.67 1
 
< 0.1%
25.67 1
 
< 0.1%
25.28 1
 
< 0.1%
25.0 5
0.1%
Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.197554
Minimum0
Maximum35
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:25.406993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.67
Q13.33
median3.33
Q35
95-th percentile6.67
Maximum35
Range35
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation2.2567742
Coefficient of variation (CV)0.53764031
Kurtosis33.649468
Mean4.197554
Median Absolute Deviation (MAD)1.66
Skewness3.2516699
Sum41975.54
Variance5.09303
MonotonicityNot monotonic
2024-05-04T07:00:25.924735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.33 3148
31.5%
5.0 2665
26.7%
1.67 2192
21.9%
6.67 1482
14.8%
8.33 375
 
3.8%
10.0 54
 
0.5%
0.0 35
 
0.4%
11.67 14
 
0.1%
15.0 5
 
0.1%
13.33 5
 
0.1%
Other values (10) 25
 
0.2%
ValueCountFrequency (%)
0.0 35
 
0.4%
1.67 2192
21.9%
3.33 3148
31.5%
5.0 2665
26.7%
6.67 1482
14.8%
8.33 375
 
3.8%
10.0 54
 
0.5%
11.67 14
 
0.1%
13.33 5
 
0.1%
15.0 5
 
0.1%
ValueCountFrequency (%)
35.0 4
< 0.1%
33.33 2
< 0.1%
31.67 3
< 0.1%
28.33 3
< 0.1%
26.67 2
< 0.1%
25.0 2
< 0.1%
21.67 1
 
< 0.1%
20.0 1
 
< 0.1%
18.33 3
< 0.1%
16.67 4
< 0.1%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.282985
Minimum0
Maximum35
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:26.416476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.33
Q16.67
median10
Q311.67
95-th percentile16.67
Maximum35
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3162333
Coefficient of variation (CV)0.46496179
Kurtosis0.83371228
Mean9.282985
Median Absolute Deviation (MAD)3.33
Skewness0.47519193
Sum92829.85
Variance18.62987
MonotonicityNot monotonic
2024-05-04T07:00:26.911136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10.0 1346
13.5%
11.67 1321
13.2%
5.0 1278
12.8%
8.33 1278
12.8%
6.67 1250
12.5%
13.33 1037
10.4%
3.33 830
8.3%
15.0 685
6.9%
16.67 347
 
3.5%
1.67 326
 
3.3%
Other values (12) 302
 
3.0%
ValueCountFrequency (%)
0.0 35
 
0.4%
1.67 326
 
3.3%
3.33 830
8.3%
5.0 1278
12.8%
6.67 1250
12.5%
8.33 1278
12.8%
10.0 1346
13.5%
11.67 1321
13.2%
13.33 1037
10.4%
15.0 685
6.9%
ValueCountFrequency (%)
35.0 6
 
0.1%
33.33 2
 
< 0.1%
31.67 5
 
0.1%
30.0 1
 
< 0.1%
28.33 5
 
0.1%
26.67 1
 
< 0.1%
25.0 6
 
0.1%
23.33 5
 
0.1%
21.67 17
 
0.2%
20.0 64
0.6%
Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.066656
Minimum0
Maximum35
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:27.307181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.67
Q113.33
median20
Q325
95-th percentile31.67
Maximum35
Range35
Interquartile range (IQR)11.67

Descriptive statistics

Standard deviation7.6395324
Coefficient of variation (CV)0.400675
Kurtosis-0.68166963
Mean19.066656
Median Absolute Deviation (MAD)5
Skewness-0.083080165
Sum190666.56
Variance58.362455
MonotonicityNot monotonic
2024-05-04T07:00:27.838492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
21.67 788
 
7.9%
23.33 787
 
7.9%
20.0 780
 
7.8%
25.0 716
 
7.2%
18.33 710
 
7.1%
16.67 650
 
6.5%
15.0 646
 
6.5%
13.33 633
 
6.3%
11.67 611
 
6.1%
26.67 606
 
6.1%
Other values (12) 3073
30.7%
ValueCountFrequency (%)
0.0 35
 
0.4%
1.67 48
 
0.5%
3.33 133
 
1.3%
5.0 171
 
1.7%
6.67 311
3.1%
8.33 411
4.1%
10.0 515
5.1%
11.67 611
6.1%
13.33 633
6.3%
15.0 646
6.5%
ValueCountFrequency (%)
35.0 179
 
1.8%
33.33 138
 
1.4%
31.67 263
 
2.6%
30.0 372
3.7%
28.33 497
5.0%
26.67 606
6.1%
25.0 716
7.2%
23.33 787
7.9%
21.67 788
7.9%
20.0 780
7.8%
Distinct9387
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.81774
Minimum19.56
Maximum4591.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:28.254009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.56
5-th percentile245.444
Q1489.92
median713.77
Q3973.925
95-th percentile1458.514
Maximum4591.52
Range4571.96
Interquartile range (IQR)484.005

Descriptive statistics

Standard deviation380.51972
Coefficient of variation (CV)0.49883438
Kurtosis2.7314977
Mean762.81774
Median Absolute Deviation (MAD)238.57
Skewness1.035424
Sum7628177.4
Variance144795.26
MonotonicityNot monotonic
2024-05-04T07:00:28.871789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450.0 6
 
0.1%
438.0 5
 
0.1%
352.8 5
 
0.1%
952.0 4
 
< 0.1%
252.0 4
 
< 0.1%
396.0 4
 
< 0.1%
474.0 4
 
< 0.1%
266.4 4
 
< 0.1%
264.0 4
 
< 0.1%
423.0 4
 
< 0.1%
Other values (9377) 9956
99.6%
ValueCountFrequency (%)
19.56 1
< 0.1%
24.0 1
< 0.1%
25.07 1
< 0.1%
25.2 1
< 0.1%
27.6 1
< 0.1%
28.8 1
< 0.1%
31.2 1
< 0.1%
33.6 1
< 0.1%
36.0 1
< 0.1%
38.4 1
< 0.1%
ValueCountFrequency (%)
4591.52 1
< 0.1%
3396.68 1
< 0.1%
3007.02 1
< 0.1%
2956.1 1
< 0.1%
2877.59 1
< 0.1%
2809.62 1
< 0.1%
2800.84 1
< 0.1%
2791.12 1
< 0.1%
2779.05 1
< 0.1%
2738.82 1
< 0.1%
Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.408522
Minimum0
Maximum5
Zeros1492
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:29.289627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.08
median2.72
Q33.05
95-th percentile3.89
Maximum5
Range5
Interquartile range (IQR)0.97

Descriptive statistics

Standard deviation1.1869281
Coefficient of variation (CV)0.49280353
Kurtosis0.41848096
Mean2.408522
Median Absolute Deviation (MAD)0.4
Skewness-0.77732933
Sum24085.22
Variance1.4087984
MonotonicityNot monotonic
2024-05-04T07:00:29.748009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1492
 
14.9%
1.67 892
 
8.9%
3.33 744
 
7.4%
2.5 389
 
3.9%
2.78 310
 
3.1%
5.0 302
 
3.0%
2.92 176
 
1.8%
2.67 135
 
1.4%
3.0 122
 
1.2%
2.22 111
 
1.1%
Other values (204) 5327
53.3%
ValueCountFrequency (%)
0.0 1492
14.9%
1.67 892
8.9%
1.76 1
 
< 0.1%
1.77 1
 
< 0.1%
1.81 1
 
< 0.1%
1.82 1
 
< 0.1%
1.83 2
 
< 0.1%
1.85 6
 
0.1%
1.86 1
 
< 0.1%
1.88 5
 
0.1%
ValueCountFrequency (%)
5.0 302
3.0%
4.76 1
 
< 0.1%
4.72 2
 
< 0.1%
4.67 3
 
< 0.1%
4.58 6
 
0.1%
4.52 2
 
< 0.1%
4.44 15
 
0.1%
4.38 3
 
< 0.1%
4.33 6
 
0.1%
4.29 2
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
7822 
0.0
1492 
3.33
 
368
5.0
 
318

Length

Max length4
Median length4
Mean length3.819
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 7822
78.2%
0.0 1492
 
14.9%
3.33 368
 
3.7%
5.0 318
 
3.2%

Length

2024-05-04T07:00:30.479854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:30.943347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 7822
78.2%
0.0 1492
 
14.9%
3.33 368
 
3.7%
5.0 318
 
3.2%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
6142 
3.33
1851 
0.0
1492 
5.0
 
515

Length

Max length4
Median length4
Mean length3.7993
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 6142
61.4%
3.33 1851
 
18.5%
0.0 1492
 
14.9%
5.0 515
 
5.1%

Length

2024-05-04T07:00:31.572345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:32.085223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 6142
61.4%
3.33 1851
 
18.5%
0.0 1492
 
14.9%
5.0 515
 
5.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5.0
3897 
3.33
3255 
0.0
1492 
1.67
1356 

Length

Max length4
Median length3
Mean length3.4611
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5.0 3897
39.0%
3.33 3255
32.6%
0.0 1492
 
14.9%
1.67 1356
 
13.6%

Length

2024-05-04T07:00:32.685403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:33.103789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 3897
39.0%
3.33 3255
32.6%
0.0 1492
 
14.9%
1.67 1356
 
13.6%
Distinct9393
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean800.28934
Minimum22
Maximum4731.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:00:33.688070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile248.457
Q1505.4625
median747.195
Q31024.1175
95-th percentile1540.7355
Maximum4731.84
Range4709.84
Interquartile range (IQR)518.655

Descriptive statistics

Standard deviation408.07528
Coefficient of variation (CV)0.50990968
Kurtosis2.6093699
Mean800.28934
Median Absolute Deviation (MAD)256.195
Skewness1.0535273
Sum8002893.4
Variance166525.43
MonotonicityNot monotonic
2024-05-04T07:00:34.152050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
474.0 7
 
0.1%
355.2 6
 
0.1%
352.8 6
 
0.1%
354.0 5
 
0.1%
492.0 5
 
0.1%
324.0 5
 
0.1%
586.0 4
 
< 0.1%
448.8 4
 
< 0.1%
292.8 4
 
< 0.1%
400.8 4
 
< 0.1%
Other values (9383) 9950
99.5%
ValueCountFrequency (%)
22.0 1
< 0.1%
25.2 1
< 0.1%
27.6 1
< 0.1%
28.65 1
< 0.1%
28.8 1
< 0.1%
31.2 1
< 0.1%
32.4 1
< 0.1%
33.6 1
< 0.1%
37.2 1
< 0.1%
37.61 1
< 0.1%
ValueCountFrequency (%)
4731.84 1
< 0.1%
3520.07 1
< 0.1%
3070.63 1
< 0.1%
3070.26 1
< 0.1%
3033.01 1
< 0.1%
3000.07 1
< 0.1%
2906.29 1
< 0.1%
2905.68 1
< 0.1%
2902.15 1
< 0.1%
2861.1 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8404 
0.0
1596 

Length

Max length4
Median length4
Mean length3.8404
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%

Length

2024-05-04T07:00:34.790864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:35.237854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8404 
0.0
1596 

Length

Max length4
Median length4
Mean length3.8404
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%

Length

2024-05-04T07:00:35.638252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:35.950375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8404 
0.0
1596 

Length

Max length4
Median length4
Mean length3.8404
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%

Length

2024-05-04T07:00:36.449023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:36.898512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1.67
8404 
0.0
1596 

Length

Max length4
Median length4
Mean length3.8404
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%

Length

2024-05-04T07:00:37.298134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:00:37.896180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 8404
84.0%
0.0 1596
 
16.0%

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%
48661113073서대문구충현동250785.0107.1501.3411202.18123355.2251.43204070322.33496.54380550640752.112.441.671.673.33662.216726.192000.06000.011666.6715.0821.93-0.08-0.29-0.130.0876.6826.6760.0100.012.773.336.6713.3314.396.6711.6716.675.63.335.06.672.270.350.972.3494.2911.526.6711.6715.0103.066.443.336.678.334.39412977.06287833.33394200.0538533.334.39146386.2488966.67138733.33195266.67133.76376.99100.0266.67500.0109.64334.63133.33233.33433.33118.416.053.336.678.3346.0541.2628.3336.6745.048.24102.5530.071.67141.6735.08171.5266.67138.33248.3385.5221.585.013.3330.017.54-0.14-0.3-0.110.09482.4-0.43-0.67-0.67-0.19429.7811.863.336.6716.67747.722.941.671.675.0765.271.671.671.671.67
32861109069강북구삼양동270648.33141.1301.4711201.21111648.330.0000648.330.0000645.723.333.333.333.33627.55458.33666.673666.6710333.3310.0472.9-0.16-0.38-0.240.0459.120.040.083.338.463.336.6713.338.935.08.3310.03.521.671.673.331.410.040.160.54114.568.213.336.6711.67151.024.461.673.336.670.0498655.82407366.67525000.0601600.02.6171093.68106766.67155100.0233833.33166.64226.4966.67166.67300.0195.28204.4166.67133.33266.67231.734.271.673.336.6762.4932.5225.031.6736.67262.9832.663.3318.3338.3398.9447.8811.6726.6760.0249.9614.083.335.018.3354.68-0.32-0.61-0.210.01617.08-0.65-0.67-0.67-0.67635.315.335.05.05.0648.330.00.00.00.0643.121.671.671.671.67
40421111069노원구상계5동170399.399.5101.411201.14111399.30.0000399.30.0000396.412.51.671.673.33379.055738.11333.332333.3311666.674.3546.3-0.12-0.39-0.160.0733.4210.020.040.09.243.333.3310.011.45.08.3315.03.631.673.335.00.980.070.341.1375.239.325.08.3313.3395.495.43.335.06.670.0464335.51333033.33469000.0600900.00.0145375.7291100.0138366.67204566.67105.61391.46100.0266.67500.0114.29279.86100.0166.67400.094.045.763.335.08.3326.0434.7328.3333.3340.0138.8934.043.3316.6746.6744.8553.5615.030.056.67108.5116.243.338.3321.6726.04-0.26-0.51-0.170.08364.58-0.64-0.67-0.67-0.67389.174.521.673.335.0397.861.671.671.671.67396.411.671.671.671.67
9441103064용산구이촌2동160295.025.7301.7111202.17123133.3973.493050130125.7513.33400520650292.431.671.671.671.67256.523600.0333.333000.04666.678.715.39-0.01-0.26-0.050.1759.1720.043.3380.015.353.336.6716.6718.98.3315.026.676.323.335.08.332.290.291.112.6517.9615.810.016.6720.030.788.745.08.3311.672.57329308.48229633.33307200.0398733.332.57126517.2553600.099533.33186233.3323.09635.53233.33466.67866.6730.78414.24200.0366.67600.017.968.336.6710.010.020.5240.3730.038.3346.6725.6581.9516.6750.0113.3317.96116.6838.3385.0160.028.2227.046.6716.6736.6712.83-0.09-0.26-0.020.18225.74-0.57-0.67-0.67-0.67259.098.571.676.6710.0289.873.331.671.675.0292.431.671.671.671.67
73421120054동작구상도2동270450.059.3201.6311201.12111450.00.0000450.00.0000450.00.00.00.00.0435.131083.33333.33333.331666.674.5540.91-0.2-0.42-0.27-0.0469.5720.046.67106.678.283.333.336.6710.635.08.3313.333.351.673.333.330.70.040.160.4668.88.273.336.6711.67126.454.923.335.06.671.86511584.37426600.0545166.67617200.03.72174823.47130766.67176266.67222433.33102.27225.8566.67166.67300.0120.87196.9966.67133.33233.33130.174.581.673.336.6739.0532.4925.030.038.33139.4633.395.016.6738.3370.6649.2613.3328.3358.33202.6912.863.335.016.6727.89-0.35-0.61-0.27-0.02420.25-0.63-0.67-0.67-0.67435.138.543.335.010.0450.00.00.00.00.0450.00.00.00.00.0
5791102065중구신당5동135459.0130.2801.6311202.18123122.0160.23304080106.52565.6510570690445.442.621.673.333.33358.296224.362333.335333.3311666.6713.9229.050.13-0.210.160.4670.7420.050.096.679.533.333.3310.016.666.6713.3320.06.073.335.06.679.491.76.3913.738.7313.2710.013.3316.6765.857.363.336.6710.00.0329238.4225666.67303433.33408433.330.0126064.1472966.67114900.0168933.3358.1444.93166.67333.33600.058.1355.23133.33266.67533.3358.17.095.06.6710.038.7363.8231.6750.090.044.54172.080.0168.33266.6738.73210.4791.67188.33313.3356.1641.6315.033.3368.3323.240.05-0.080.210.34174.3-0.24-0.67-0.250.15129.7616.195.013.3326.67410.583.071.673.335.0455.131.671.671.671.67
43191112056은평구갈현2동275853.36267.9701.3211201.0111851.50.0000851.50.0000851.50.00.00.00.0838.527476.192666.678666.6711666.674.79285.69-0.26-0.47-0.38-0.1449.7610.030.066.6711.333.336.6716.677.073.335.08.332.471.671.673.330.30.00.040.18317.236.121.675.08.33391.433.91.673.335.01.86566318.27509066.67604066.67663233.331.86210741.99160900.0208566.67264300.0406.27148.0633.3366.67200.0452.65146.8233.33100.0166.67537.993.761.673.335.0231.8928.4523.3330.035.0519.4420.071.676.6725.0302.3932.188.3316.6733.33523.159.711.675.010.0213.34-0.6-1.33-0.54-0.16834.81-0.66-0.67-0.67-0.67840.377.781.675.013.33851.50.00.00.00.0849.651.671.671.671.67
16361105056광진구중곡2동140792.0132.6201.5511202.41123317.1858.96305080282.99546.42490570650740.722.651.673.333.33586.887012.352000.06333.3311666.6717.7543.680.12-0.230.140.4765.0516.6746.6796.6710.93.336.6710.016.996.6711.6723.335.873.335.06.6710.071.285.7313.7677.8713.358.3315.016.67115.866.483.336.678.331.9383684.62262933.33340566.67500800.03.8126966.2765200.0115733.33175666.6796.86563.93200.0400.0833.33127.25350.19133.33266.67500.096.867.215.08.3310.045.5870.4736.6755.0103.3381.67162.1365.0146.67265.043.68210.1678.33185.0325.089.2742.9713.3333.3370.028.490.07-0.050.20.35364.66-0.28-0.67-0.520.17336.1716.655.013.3328.33685.643.041.671.675.0776.811.671.671.671.67
46081113052서대문구천연동120698.0112.502.4922303.49234377.5580.893060140349.0489.27330520700678.961.671.671.671.67653.587047.621666.675666.6711666.6711.360.00.07-0.110.020.2468.9213.3343.33103.337.33.336.6710.07.43.335.010.03.131.673.333.3315.113.9411.420.9488.849.183.338.3313.3392.015.863.335.08.330.0435474.24349633.33451933.33529300.03.17125036.9982833.33123000.0163566.67130.08334.08133.33233.33433.33117.39241.8966.67166.67366.67171.335.243.335.06.670.084.5536.6776.67145.012.69130.8285.0120.0173.333.17136.7465.0116.67193.3325.3841.4615.031.6765.00.00.320.220.360.45190.36-0.09-0.67-0.010.35171.3312.985.08.3318.33634.552.751.671.673.33698.00.00.00.00.0
12221104055성동구사근동270192.1535.3801.611201.21111192.150.0000192.150.0000192.150.00.00.00.0188.232000.0333.33333.333666.6712.2415.69-0.18-0.37-0.21-0.0755.3823.3336.6766.677.293.333.336.6711.586.6710.015.03.351.673.333.330.950.060.170.5939.215.963.335.08.3354.94.51.673.335.01.96553697.59518466.67576600.0625266.671.96200836.77159966.67193633.33242400.072.55222.9566.67133.33233.3358.82221.5766.67133.33300.029.413.921.673.335.021.5731.7625.031.6736.6770.5926.945.011.6731.6725.4944.0613.3326.6751.6772.5511.231.675.011.6717.65-0.29-0.52-0.210.08186.27-0.66-0.67-0.67-0.67188.2310.836.676.6715.0192.150.00.00.00.0192.150.00.00.00.0
행정동코드자치구행정동성별연령대총인구수1인가구수야간상주지 변경 미추정 인구 수야간상주지 변경횟수 평균야간상주지 변경횟수: 4분위수, 25%야간상주지 변경횟수: 4분위수, 50%야간상주지 변경횟수: 4분위수, 75%주간상주지 변경 미추정 인구수주간상주지 변경횟수 평균주간상주지 변경횟수: 4분위수, 25%주간상주지 변경횟수: 4분위수, 50%주간상주지 변경횟수: 4분위수, 75%출근 소요시간 미추정 인구수평균 출근 소요시간 평균평균 출근 소요시간: 4분위수, 25%평균 출근 소요시간: 4분위수, 50%평균 출근 소요시간: 4분위수, 75%근무시간 미추정 인구수평균 근무시간 평균평균 근무시간: 4분위수, 25%평균 근무시간: 4분위수, 50%평균 근무시간: 4분위수, 75%소액결재 비사용 인구수소액결재 사용횟수 평균소액결재 사용횟수: 4분위수, 25%소액결재 사용횟수: 4분위수, 50%소액결재 사용횟수: 4분위수, 75%소액결재 사용 금액 없는 인구수소액결재 사용금액 평균소액결재 사용금액: 4분위수, 25%소액결재 사용금액: 4분위수, 50%소액결재 사용금액: 4분위수, 75%최근 3개월 내 요금 연체 비율카카오톡 비사용 인구수SNS 사용횟수SNS 사용횟수: 4분위수, 25%SNS 사용횟수: 4분위수, 50%SNS 사용횟수: 4분위수, 75%평균 통화량평균 통화량: 4분위수, 25%평균 통화량: 4분위수, 50%평균 통화량: 4분위수, 75%평균 문자량평균 문자량: 4분위수, 25%평균 문자량: 4분위수, 50%평균 문자량: 4분위수, 75%평균 통화대상자 수평균 통화대상자 수: 4분위수, 25%평균 통화대상자 수: 4분위수, 50%평균 통화대상자 수: 4분위수, 75%평균 문자대상자 수평균 문자대상자 수: 4분위수, 25%평균 문자대상자 수: 4분위수, 50%평균 문자대상자 수: 4분위수, 75%데이터 사용량데이터 사용량: 4분위수, 25%데이터 사용량: 4분위수, 50%데이터 사용량: 4분위수, 75%평일 총 이동 횟수 미추정 인구수평일 총 이동 횟수평일 총 이동 횟수: 4분위수, 25%평일 총 이동 횟수: 4분위수, 50%평일 총 이동 횟수: 4분위수, 75%휴일 이동 미추정 인구수휴일 총 이동 횟수 평균휴일 총 이동 횟수: 4분위수, 25%휴일 총 이동 횟수: 4분위수, 50%휴일 총 이동 횟수: 4분위수, 75%집 추정 위치 평일 총 체류시간 미추정 인구수집 추정 위치 평일 총 체류시간집 추정 위치 평일 총 체류시간: 4분위수, 25%집 추정 위치 평일 총 체류시간: 4분위수, 50%집 추정 위치 평일 총 체류시간: 4분위수, 75%집 추정 위치 휴일 총 체류시간 미추정 인구수집 추정 위치 휴일 총 체류시간집 추정 위치 휴일 총 체류시간: 4분위수, 25%집 추정 위치 휴일 총 체류시간: 4분위수, 50%집 추정 위치 휴일 총 체류시간: 4분위수, 75%평일 총 이동 거리 미추정 인구수평일 총 이동 거리 합계평일 총 이동 거리 합계: 4분위수, 25%평일 총 이동 거리 합계: 4분위수, 50%평일 총 이동 거리 합계: 4분위수, 75%휴일 총 이동 거리 미추정 인구수휴일 총 이동 거리 합계휴일 총 이동 거리 합계: 4분위수, 25%휴일 총 이동 거리 합계: 4분위수, 50%휴일 총 이동 거리 합계: 4분위수, 75%지하철 이용 미추정 인구수지하철이동일수 합계지하철이동일수 합계: 4분위수, 25%지하철이동일수 합계: 4분위수, 50%지하철이동일수 합계: 4분위수, 75%게임 서비스 사용 미추정 인구수게임 서비스 사용일수게임 서비스 사용일수: 4분위수, 25%게임 서비스 사용일수: 4분위수, 50%게임 서비스 사용일수: 4분위수, 75%금융 서비스 사용 미추정 인구수금융 서비스 사용일수금융 서비스 사용일수: 4분위수, 25%금융 서비스 사용일수: 4분위수, 50%금융 서비스 사용일수: 4분위수, 75%쇼핑 서비스 사용 미추정 인구수쇼핑 서비스 사용일수쇼핑 서비스 사용일수: 4분위수, 25%쇼핑 서비스 사용일수: 4분위수, 50%쇼핑 서비스 사용일수: 4분위수, 75%동영상/방송 서비스 사용 미추정 인구수동영상/방송 서비스 사용일수동영상/방송 서비스 사용일수: 4분위수, 25%동영상/방송 서비스 사용일수: 4분위수, 50%동영상/방송 서비스 사용일수: 4분위수, 75%유튜브 사용 미추정 인구수유튜브 사용일수유튜브 사용일수: 4분위수, 25%유튜브 사용일수: 4분위수, 50%유튜브 사용일수: 4분위수, 75%넷플릭스 사용 미추정 인구수넷플릭스 사용일수넷플릭스 사용일수: 4분위수, 25%넷플릭스 사용일수: 4분위수, 50%넷플릭스 사용일수: 4분위수, 75%배달 서비스 사용 미추정 인구수배달 서비스 사용일수배달 서비스 사용일수: 4분위수, 25%배달 서비스 사용일수: 4분위수, 50%배달 서비스 사용일수: 4분위수, 75%배달_브랜드 서비스 사용 미추정 인구수배달_브랜드 서비스 사용일수배달_브랜드 서비스 사용일수: 4분위수, 25%배달_브랜드 서비스 사용일수: 4분위수, 50%배달_브랜드 서비스 사용일수: 4분위수, 75%배달_식재료 서비스 사용 미추정 인구수배달_식재료 서비스 사용일수배달_식재료 서비스 사용일수: 4분위수, 25%배달_식재료 서비스 사용일수: 4분위수, 50%배달_식재료 서비스 사용일수: 4분위수, 75%
23481107057중랑구면목7동260911.0163.5501.4911202.47123387.761.4205090340.76510.03410550690900.572.51.671.673.33846.676639.641666.676333.3311666.679.7324.34-0.05-0.29-0.10.1371.1823.3346.67103.3314.343.336.6716.6713.286.6710.016.674.441.673.335.01.470.180.441.28114.749.885.010.013.33116.485.933.335.08.333.48439841.25321366.67436100.0554033.335.22133094.1885600.0125466.67177166.67191.24307.81100.0233.33433.33140.82312.19100.0233.33466.67166.95.793.335.08.3333.0341.128.3335.043.33130.3960.711.6733.3381.6746.9495.8726.6758.33131.67168.6417.913.338.3325.020.86-0.15-0.35-0.080.1780.61-0.6-0.67-0.67-0.67824.078.371.675.013.33907.523.331.671.675.0900.571.671.671.671.67
72091119074영등포구영등포동165528.0125.601.7111202.85124283.1766.332050100255.15477.89310520700522.12.51.671.673.33480.85739.581000.04000.011666.6710.3436.87-0.07-0.36-0.120.1448.8913.3326.6756.6715.763.336.6720.014.655.010.020.05.061.673.335.01.640.170.581.71110.619.955.08.3315.0128.315.973.335.08.334.42436517.56300933.33439366.67560166.677.37128392.9275266.67119233.33173633.33129.79444.81133.33266.67600.0151.91356.47100.0300.0500.0132.745.83.335.08.3326.5540.2530.036.6743.33109.1450.938.3330.070.036.8771.0423.3341.6791.67109.1422.023.3310.030.028.02-0.16-0.32-0.070.13470.48-0.62-0.67-0.67-0.67510.39.311.676.678.33528.00.00.00.00.0525.051.671.671.671.67
59591116061강서구화곡6동1551055.0109.1901.4811202.31123516.0657.49304070485.55527.984405606601034.661.91.671.671.67869.424546.3666.673666.676666.6713.2945.760.05-0.210.030.367.6520.046.67103.3313.73.336.6713.3321.398.3318.3330.06.673.335.08.333.50.481.43.73111.8614.328.3315.020.0144.97.755.06.6710.07.63381337.15269133.33340566.67492600.012.71102395.652600.091466.67143033.33129.65639.3200.0500.0933.33137.28430.37166.67366.67633.33190.666.723.336.6710.058.4748.9735.041.6751.67106.77106.6131.6783.33150.068.64138.7150.0105.0186.67134.7329.288.3320.043.3345.76-0.05-0.20.070.22767.73-0.52-0.67-0.67-0.55836.3712.293.338.3320.01034.662.861.671.675.01049.921.671.671.671.67
75951120072동작구노량진1동175774.38222.7801.3711201.01111774.380.0000774.380.0000774.380.00.00.00.0762.85888.891666.672333.339666.673.24140.97-0.2-0.46-0.28-0.0231.256.6716.6736.677.893.336.6710.08.893.336.6711.673.361.673.333.330.670.030.130.57193.117.933.336.6711.67278.084.771.673.336.673.86533500.75440666.67577233.33644833.335.79212756.2164933.33224033.33268533.33225.94286.9766.67200.0400.0278.08183.0166.67133.33266.67303.194.771.673.336.67100.4230.9323.3331.6736.67357.2627.023.3311.6728.33152.5637.558.3321.6741.67353.415.443.335.020.086.9-0.41-0.66-0.34-0.03741.56-0.65-0.67-0.67-0.67755.078.05.05.010.0770.521.671.671.671.67774.380.00.00.00.0
33551109072강북구송천동2551384.0256.101.511202.57123549.5353.09204070440.13514.734305507001358.562.221.671.673.331236.446198.831333.336000.011666.6713.0845.79-0.07-0.29-0.120.173.5723.3353.33106.6717.973.3310.020.013.316.6710.016.675.823.333.336.671.710.210.671.65246.7810.185.010.015.0246.786.113.336.678.335.09431062.72300900.0428300.0561666.6712.72141132.7877600.0130266.67198800.0320.56265.9566.67200.0333.33284.94278.96100.0200.0400.0496.14.751.673.338.3343.2544.4628.3336.6746.67145.0180.1418.3355.0108.3358.51132.7738.3395.0186.67236.622.115.011.6731.6735.62-0.12-0.27-0.070.111088.88-0.55-0.67-0.67-0.671121.969.463.336.6713.331376.373.331.671.675.01358.561.671.671.671.67
56581115066양천구신정3동2502265.0202.6301.411202.23123982.5754.36204070896.17486.213905206002217.572.51.671.673.331929.575299.661000.04000.011666.6714.3632.19-0.07-0.27-0.130.0677.2726.6756.67113.3315.283.336.6716.6714.126.6711.6716.676.033.335.06.672.110.390.912.19140.6111.716.6713.3315.0182.966.353.336.678.338.47415415.52295466.67402966.67537600.010.16131032.7377533.33123500.0178033.33243.95332.3100.0233.33466.67215.15316.36133.33233.33433.33225.316.083.336.678.3376.2340.828.3336.6746.6781.32109.0241.6783.33155.042.35176.1873.33145.0251.67216.8422.225.013.3331.6723.72-0.11-0.27-0.080.091392.54-0.43-0.67-0.67-0.211257.0210.193.338.3313.332180.32.731.671.675.02222.651.671.671.671.67
98631125055강동구고덕1동275341.84106.601.4211201.0111341.840.0000341.840.0000340.341.671.671.671.67338.836000.0333.33333.3311666.674.8587.34-0.29-0.47-0.37-0.2149.7213.3330.066.6714.673.333.3313.338.115.06.6710.02.941.671.673.330.290.010.050.21103.916.63.335.08.33137.044.231.673.336.670.0562004.85511333.33594933.33650200.00.0177540.09133833.33177000.0224500.0129.51186.5233.33100.0266.67147.58128.4266.67100.0133.33165.653.351.673.333.3363.2528.2321.6730.035.0194.2619.631.678.3323.33100.929.026.6715.030.0218.369.171.675.010.055.72-0.52-0.84-0.48-0.12331.3-0.66-0.67-0.67-0.67335.827.53.333.3311.67341.840.00.00.00.0340.341.671.671.671.67
22571107052중랑구면목2동125955.0107.6702.112303.15134309.4966.85305090271.17531.94460560670866.572.331.671.673.33639.617199.382333.338333.3311666.6721.9120.630.21-0.080.260.5373.513.3343.33110.013.453.336.6713.3311.375.08.3313.335.173.333.336.6715.723.2812.1323.3376.6413.2410.013.3316.67144.437.335.06.6710.014.74352358.62243633.33317066.67443066.6717.69110008.9152066.6790000.0151733.33114.95498.13200.0366.67700.0170.96347.24166.67266.67466.67106.118.126.678.3310.014.7477.1436.6766.67123.3335.37147.0983.33138.33203.3335.37175.0793.33163.33230.047.1645.5620.036.6770.014.740.260.170.350.46321.28-0.15-0.67-0.090.28129.6920.18.3320.033.33857.732.681.671.673.33940.261.671.671.671.67
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