Overview

Dataset statistics

Number of variables33
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory299.4 B

Variable types

Text2
Numeric31

Dataset

Description샘플 데이터
Author다음소프트/신한카드
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=54

Alerts

index_건수_minmax(INDEX_FREQ_MINMAX) has unique valuesUnique
index_건수_minmax_이동평균(MA_INDEX_FREQ_MINMAX) has unique valuesUnique
index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX) has unique valuesUnique
index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX) has unique valuesUnique
index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX) has unique valuesUnique
견인요소A_매력도_minmax(ATTRACTION_A_MINMAX) has unique valuesUnique
견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX) has unique valuesUnique
견인요소B_매력도_minmax_이동평균(MA_ATTRACTION_B_MINMAX) has unique valuesUnique
견인요소C_매력도_minmax_이동평균(MA_ATTRACTION_C_MINMAX) has unique valuesUnique
매력도_평균_minmax(AVG_ATTRACTION_MINMAX) has unique valuesUnique
매력도_평균_minmax_이동평균(MA_AVG_ATTRACTION_MINMAX) has unique valuesUnique
최종지표_이동편균(MA_INDEX) has unique valuesUnique
객단가(UNIT_PRICE) has unique valuesUnique
index_건수_minmax(INDEX_FREQ_MINMAX) has 1 (3.3%) zerosZeros
index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX) has 2 (6.7%) zerosZeros
index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX) has 2 (6.7%) zerosZeros
index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX) has 5 (16.7%) zerosZeros
index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX) has 1 (3.3%) zerosZeros
견인요소A_매력도(ATTRACTION_A) has 1 (3.3%) zerosZeros
견인요소C_매력도(ATTRACTION_C) has 3 (10.0%) zerosZeros
견인요소A_매력도_minmax(ATTRACTION_A_MINMAX) has 1 (3.3%) zerosZeros
견인요소B_매력도_minmax(ATTRACTION_B_MINMAX) has 2 (6.7%) zerosZeros
견인요소C_매력도_minmax(ATTRACTION_C_MINMAX) has 2 (6.7%) zerosZeros
견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX) has 1 (3.3%) zerosZeros
매력도_평균(AVG_ATTRACTION) has 1 (3.3%) zerosZeros
최종지표_이동편균(MA_INDEX) has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-16 18:57:54.883472
Analysis finished2024-04-16 18:57:55.128658
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜(DATE)
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:57:55.213435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.333333
Min length11

Characters and Unicode

Total characters340
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row2017년 12월 3주
2nd row2018년 10월 4주
3rd row2019년 4월 3주
4th row2018년 4월 2주
5th row2017년 4월 2주
ValueCountFrequency (%)
2019년 12
13.3%
2018년 10
11.1%
4주 10
11.1%
2017년 8
8.9%
2주 7
 
7.8%
3주 6
 
6.7%
7월 5
 
5.6%
1주 5
 
5.6%
4월 5
 
5.6%
11월 4
 
4.4%
Other values (8) 18
20.0%
2024-04-17T03:57:55.506379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
17.6%
1 49
14.4%
2 40
11.8%
0 33
9.7%
년 30
8.8%
월 30
8.8%
주 30
8.8%
4 15
 
4.4%
9 14
 
4.1%
7 13
 
3.8%
Other values (4) 26
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
55.9%
Other Letter 90
26.5%
Space Separator 60
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
25.8%
2 40
21.1%
0 33
17.4%
4 15
 
7.9%
9 14
 
7.4%
7 13
 
6.8%
8 12
 
6.3%
3 9
 
4.7%
5 3
 
1.6%
6 2
 
1.1%
Other Letter
ValueCountFrequency (%)
년 30
33.3%
월 30
33.3%
주 30
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
73.5%
Hangul 90
 
26.5%

Most frequent character per script

Common
ValueCountFrequency (%)
60
24.0%
1 49
19.6%
2 40
16.0%
0 33
13.2%
4 15
 
6.0%
9 14
 
5.6%
7 13
 
5.2%
8 12
 
4.8%
3 9
 
3.6%
5 3
 
1.2%
Hangul
ValueCountFrequency (%)
년 30
33.3%
월 30
33.3%
주 30
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
73.5%
Hangul 90
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
24.0%
1 49
19.6%
2 40
16.0%
0 33
13.2%
4 15
 
6.0%
9 14
 
5.6%
7 13
 
5.2%
8 12
 
4.8%
3 9
 
3.6%
5 3
 
1.2%
Hangul
ValueCountFrequency (%)
년 30
33.3%
월 30
33.3%
주 30
33.3%

주차(WEEK)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.833333
Minimum13
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:55.623188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14.9
Q132.5
median77
Q3123.25
95-th percentile141
Maximum150
Range137
Interquartile range (IQR)90.75

Descriptive statistics

Standard deviation47.007764
Coefficient of variation (CV)0.59629299
Kurtosis-1.6570772
Mean78.833333
Median Absolute Deviation (MAD)46
Skewness0.0064478015
Sum2365
Variance2209.7299
MonotonicityNot monotonic
2024-04-17T03:57:55.737565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
141 2
 
6.7%
134 2
 
6.7%
29 2
 
6.7%
106 2
 
6.7%
16 1
 
3.3%
131 1
 
3.3%
34 1
 
3.3%
28 1
 
3.3%
124 1
 
3.3%
46 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
13 1
3.3%
14 1
3.3%
16 1
3.3%
20 1
3.3%
28 1
3.3%
29 2
6.7%
32 1
3.3%
34 1
3.3%
44 1
3.3%
46 1
3.3%
ValueCountFrequency (%)
150 1
3.3%
141 2
6.7%
134 2
6.7%
131 1
3.3%
125 1
3.3%
124 1
3.3%
121 1
3.3%
115 1
3.3%
112 1
3.3%
106 2
6.7%

행정구(REGION)
Text

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:57:55.882721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1
Min length3

Characters and Unicode

Total characters93
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row은평구
2nd row송파구
3rd row광진구
4th row강북구
5th row강동구
ValueCountFrequency (%)
구로구 5
16.7%
영등포구 2
 
6.7%
금천구 2
 
6.7%
양천구 2
 
6.7%
송파구 2
 
6.7%
마포구 2
 
6.7%
강서구 2
 
6.7%
은평구 2
 
6.7%
관악구 2
 
6.7%
노원구 1
 
3.3%
Other values (8) 8
26.7%
2024-04-17T03:57:56.175953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 35
37.6%
로 5
 
5.4%
포 4
 
4.3%
천 4
 
4.3%
강 4
 
4.3%
서 3
 
3.2%
파 2
 
2.2%
동 2
 
2.2%
성 2
 
2.2%
평 2
 
2.2%
Other values (20) 30
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
37.6%
로 5
 
5.4%
포 4
 
4.3%
천 4
 
4.3%
강 4
 
4.3%
서 3
 
3.2%
파 2
 
2.2%
동 2
 
2.2%
성 2
 
2.2%
평 2
 
2.2%
Other values (20) 30
32.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
37.6%
로 5
 
5.4%
포 4
 
4.3%
천 4
 
4.3%
강 4
 
4.3%
서 3
 
3.2%
파 2
 
2.2%
동 2
 
2.2%
성 2
 
2.2%
평 2
 
2.2%
Other values (20) 30
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 35
37.6%
로 5
 
5.4%
포 4
 
4.3%
천 4
 
4.3%
강 4
 
4.3%
서 3
 
3.2%
파 2
 
2.2%
동 2
 
2.2%
성 2
 
2.2%
평 2
 
2.2%
Other values (20) 30
32.3%

index_건수(USE_FREQ)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0866667
Minimum0.24
Maximum3.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:56.301314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.24
5-th percentile0.3565
Q10.57
median0.95
Q31.3125
95-th percentile2.7025
Maximum3.61
Range3.37
Interquartile range (IQR)0.7425

Descriptive statistics

Standard deviation0.76985594
Coefficient of variation (CV)0.70845638
Kurtosis5.2925244
Mean1.0866667
Median Absolute Deviation (MAD)0.415
Skewness2.1622404
Sum32.6
Variance0.59267816
MonotonicityNot monotonic
2024-04-17T03:57:56.415710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.99 2
 
6.7%
0.51 2
 
6.7%
0.28 1
 
3.3%
0.82 1
 
3.3%
0.86 1
 
3.3%
0.45 1
 
3.3%
0.56 1
 
3.3%
1.45 1
 
3.3%
0.5 1
 
3.3%
1.08 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.24 1
3.3%
0.28 1
3.3%
0.45 1
3.3%
0.46 1
3.3%
0.5 1
3.3%
0.51 2
6.7%
0.56 1
3.3%
0.6 1
3.3%
0.79 1
3.3%
0.82 1
3.3%
ValueCountFrequency (%)
3.61 1
3.3%
3.4 1
3.3%
1.85 1
3.3%
1.7 1
3.3%
1.45 1
3.3%
1.44 1
3.3%
1.4 1
3.3%
1.39 1
3.3%
1.08 1
3.3%
1.04 1
3.3%

index_건수_minmax(INDEX_FREQ_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.646333
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:56.548423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1905
Q19.75
median18.975
Q331.1775
95-th percentile69.3395
Maximum100
Range100
Interquartile range (IQR)21.4275

Descriptive statistics

Standard deviation22.694731
Coefficient of variation (CV)0.88491133
Kurtosis3.0475786
Mean25.646333
Median Absolute Deviation (MAD)11.03
Skewness1.6541402
Sum769.39
Variance515.05082
MonotonicityNot monotonic
2024-04-17T03:57:56.673703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10.32 1
 
3.3%
69.47 1
 
3.3%
33.04 1
 
3.3%
24.18 1
 
3.3%
14.4 1
 
3.3%
69.18 1
 
3.3%
16.09 1
 
3.3%
46.43 1
 
3.3%
7.76 1
 
3.3%
9.56 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.36 1
3.3%
6.65 1
3.3%
7.69 1
3.3%
7.76 1
3.3%
8.19 1
3.3%
9.46 1
3.3%
9.56 1
3.3%
10.32 1
3.3%
10.69 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
69.47 1
3.3%
69.18 1
3.3%
46.43 1
3.3%
45.86 1
3.3%
44.67 1
3.3%
33.04 1
3.3%
31.41 1
3.3%
30.48 1
3.3%
30.07 1
3.3%

index_건수_minmax_이동평균(MA_INDEX_FREQ_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.734333
Minimum2.65
Maximum88.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:56.803867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.65
5-th percentile4.94
Q110.0975
median18.2
Q333.29
95-th percentile55.275
Maximum88.39
Range85.74
Interquartile range (IQR)23.1925

Descriptive statistics

Standard deviation18.694018
Coefficient of variation (CV)0.78763611
Kurtosis3.9460943
Mean23.734333
Median Absolute Deviation (MAD)10.015
Skewness1.7422182
Sum712.03
Variance349.46631
MonotonicityNot monotonic
2024-04-17T03:57:56.919240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16.0 1
 
3.3%
40.39 1
 
3.3%
8.33 1
 
3.3%
9.95 1
 
3.3%
39.97 1
 
3.3%
19.51 1
 
3.3%
18.29 1
 
3.3%
7.47 1
 
3.3%
36.46 1
 
3.3%
34.03 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2.65 1
3.3%
2.87 1
3.3%
7.47 1
3.3%
7.81 1
3.3%
8.33 1
3.3%
8.62 1
3.3%
9.68 1
3.3%
9.95 1
3.3%
10.54 1
3.3%
10.56 1
3.3%
ValueCountFrequency (%)
88.39 1
3.3%
62.43 1
3.3%
46.53 1
3.3%
40.39 1
3.3%
39.97 1
3.3%
36.46 1
3.3%
34.65 1
3.3%
34.03 1
3.3%
31.07 1
3.3%
28.4 1
3.3%

index_sns버즈량(BUZZ_FREQ)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0143333
Minimum0.04
Maximum5.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:57.035818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.086
Q10.25
median0.59
Q30.9625
95-th percentile4.185
Maximum5.06
Range5.02
Interquartile range (IQR)0.7125

Descriptive statistics

Standard deviation1.3091236
Coefficient of variation (CV)1.2906247
Kurtosis4.115497
Mean1.0143333
Median Absolute Deviation (MAD)0.35
Skewness2.1679641
Sum30.43
Variance1.7138047
MonotonicityNot monotonic
2024-04-17T03:57:57.156879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.25 2
 
6.7%
0.2 2
 
6.7%
5.06 1
 
3.3%
0.69 1
 
3.3%
0.28 1
 
3.3%
0.61 1
 
3.3%
0.41 1
 
3.3%
4.77 1
 
3.3%
0.98 1
 
3.3%
0.49 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.04 1
3.3%
0.05 1
3.3%
0.13 1
3.3%
0.16 1
3.3%
0.2 2
6.7%
0.23 1
3.3%
0.25 2
6.7%
0.28 1
3.3%
0.3 1
3.3%
0.31 1
3.3%
ValueCountFrequency (%)
5.06 1
3.3%
4.77 1
3.3%
3.47 1
3.3%
2.46 1
3.3%
2.27 1
3.3%
1.23 1
3.3%
1.1 1
3.3%
0.98 1
3.3%
0.91 1
3.3%
0.87 1
3.3%

index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.324
Minimum0
Maximum100
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:57.272910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.657
Q15.4125
median11.47
Q334.905
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)29.4925

Descriptive statistics

Standard deviation34.058258
Coefficient of variation (CV)1.2024523
Kurtosis0.075849801
Mean28.324
Median Absolute Deviation (MAD)7.29
Skewness1.2914054
Sum849.72
Variance1159.9649
MonotonicityNot monotonic
2024-04-17T03:57:57.419084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
100.0 3
 
10.0%
0.0 2
 
6.7%
65.63 1
 
3.3%
6.35 1
 
3.3%
2.73 1
 
3.3%
11.11 1
 
3.3%
25.17 1
 
3.3%
13.03 1
 
3.3%
18.87 1
 
3.3%
4.99 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 2
6.7%
1.46 1
3.3%
2.73 1
3.3%
3.34 1
3.3%
4.29 1
3.3%
4.99 1
3.3%
5.1 1
3.3%
6.35 1
3.3%
7.48 1
3.3%
10.06 1
3.3%
ValueCountFrequency (%)
100.0 3
10.0%
84.26 1
 
3.3%
84.15 1
 
3.3%
69.88 1
 
3.3%
65.63 1
 
3.3%
38.15 1
 
3.3%
25.17 1
 
3.3%
18.87 1
 
3.3%
17.68 1
 
3.3%
16.35 1
 
3.3%

index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.029667
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:57.546168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.209
Q13.0825
median6.765
Q327.4225
95-th percentile80.775
Maximum100
Range100
Interquartile range (IQR)24.34

Descriptive statistics

Standard deviation28.648776
Coefficient of variation (CV)1.3004634
Kurtosis1.0711952
Mean22.029667
Median Absolute Deviation (MAD)6.515
Skewness1.4646963
Sum660.89
Variance820.75238
MonotonicityNot monotonic
2024-04-17T03:57:57.667031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.99 1
 
3.3%
4.28 1
 
3.3%
1.32 1
 
3.3%
9.9 1
 
3.3%
52.62 1
 
3.3%
72.36 1
 
3.3%
58.97 1
 
3.3%
22.72 1
 
3.3%
1.53 1
 
3.3%
6.47 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.2 1
3.3%
0.22 1
3.3%
0.28 1
3.3%
1.32 1
3.3%
1.53 1
3.3%
2.65 1
3.3%
3.04 1
3.3%
3.21 1
3.3%
3.32 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
87.66 1
3.3%
72.36 1
3.3%
60.97 1
3.3%
58.97 1
3.3%
52.62 1
3.3%
51.69 1
3.3%
28.99 1
3.3%
22.72 1
3.3%
19.4 1
3.3%

index_견인요소A(TRACTION_A)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1286667
Minimum0.02
Maximum5.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:57.782749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.0345
Q10.1975
median0.42
Q31.5125
95-th percentile3.927
Maximum5.1
Range5.08
Interquartile range (IQR)1.315

Descriptive statistics

Standard deviation1.409159
Coefficient of variation (CV)1.2485166
Kurtosis1.3147911
Mean1.1286667
Median Absolute Deviation (MAD)0.34
Skewness1.4979168
Sum33.86
Variance1.9857292
MonotonicityNot monotonic
2024-04-17T03:57:57.908667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.39 2
 
6.7%
5.1 1
 
3.3%
0.52 1
 
3.3%
0.13 1
 
3.3%
0.51 1
 
3.3%
2.7 1
 
3.3%
1.4 1
 
3.3%
0.33 1
 
3.3%
0.02 1
 
3.3%
0.45 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.02 1
3.3%
0.03 1
3.3%
0.04 1
3.3%
0.06 1
3.3%
0.1 1
3.3%
0.13 1
3.3%
0.14 1
3.3%
0.19 1
3.3%
0.22 1
3.3%
0.24 1
3.3%
ValueCountFrequency (%)
5.1 1
3.3%
4.35 1
3.3%
3.41 1
3.3%
3.29 1
3.3%
2.7 1
3.3%
2.67 1
3.3%
2.32 1
3.3%
1.55 1
3.3%
1.4 1
3.3%
1.34 1
3.3%

index_견인요소B(TRACTION_B)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.169
Minimum0.02
Maximum5.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:58.031637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.0245
Q10.1225
median0.455
Q31.6075
95-th percentile5.104
Maximum5.93
Range5.91
Interquartile range (IQR)1.485

Descriptive statistics

Standard deviation1.6627757
Coefficient of variation (CV)1.4223916
Kurtosis2.9291009
Mean1.169
Median Absolute Deviation (MAD)0.4
Skewness1.9014245
Sum35.07
Variance2.7648231
MonotonicityNot monotonic
2024-04-17T03:57:58.148843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.46 2
 
6.7%
1.66 2
 
6.7%
0.02 2
 
6.7%
0.58 1
 
3.3%
1.87 1
 
3.3%
0.65 1
 
3.3%
0.11 1
 
3.3%
4.18 1
 
3.3%
5.86 1
 
3.3%
0.21 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.02 2
6.7%
0.03 1
3.3%
0.04 1
3.3%
0.05 1
3.3%
0.07 1
3.3%
0.11 1
3.3%
0.12 1
3.3%
0.13 1
3.3%
0.15 1
3.3%
0.2 1
3.3%
ValueCountFrequency (%)
5.93 1
3.3%
5.86 1
3.3%
4.18 1
3.3%
3.23 1
3.3%
3.04 1
3.3%
1.87 1
3.3%
1.66 2
6.7%
1.45 1
3.3%
0.98 1
3.3%
0.85 1
3.3%

index_견인요소C(TRACTION_C)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0486667
Minimum0.01
Maximum5.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:58.266976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.03
Q10.15
median0.655
Q31.525
95-th percentile3.3835
Maximum5.52
Range5.51
Interquartile range (IQR)1.375

Descriptive statistics

Standard deviation1.2869202
Coefficient of variation (CV)1.2271967
Kurtosis4.1631523
Mean1.0486667
Median Absolute Deviation (MAD)0.525
Skewness1.9713035
Sum31.46
Variance1.6561637
MonotonicityNot monotonic
2024-04-17T03:57:58.383086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.74 2
 
6.7%
0.03 2
 
6.7%
0.13 2
 
6.7%
0.22 2
 
6.7%
0.39 1
 
3.3%
3.05 1
 
3.3%
0.21 1
 
3.3%
0.78 1
 
3.3%
1.0 1
 
3.3%
1.8 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.01 1
3.3%
0.03 2
6.7%
0.04 1
3.3%
0.06 1
3.3%
0.12 1
3.3%
0.13 2
6.7%
0.21 1
3.3%
0.22 2
6.7%
0.39 1
3.3%
0.46 1
3.3%
ValueCountFrequency (%)
5.52 1
3.3%
3.46 1
3.3%
3.29 1
3.3%
3.05 1
3.3%
1.8 1
3.3%
1.71 1
3.3%
1.69 1
3.3%
1.64 1
3.3%
1.18 1
3.3%
1.0 1
3.3%

index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.714
Minimum0
Maximum100
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:58.835860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.286
Q125.7225
median34.255
Q345.73
95-th percentile83.7055
Maximum100
Range100
Interquartile range (IQR)20.0075

Descriptive statistics

Standard deviation22.597896
Coefficient of variation (CV)0.59919118
Kurtosis2.5619963
Mean37.714
Median Absolute Deviation (MAD)10.035
Skewness1.1286901
Sum1131.42
Variance510.66491
MonotonicityNot monotonic
2024-04-17T03:57:58.954018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.0 2
 
6.7%
0.0 2
 
6.7%
58.14 1
 
3.3%
39.84 1
 
3.3%
31.87 1
 
3.3%
31.34 1
 
3.3%
33.93 1
 
3.3%
27.89 1
 
3.3%
24.76 1
 
3.3%
44.83 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 2
6.7%
5.08 1
3.3%
20.71 1
3.3%
21.37 1
3.3%
22.05 1
3.3%
24.76 1
3.3%
25.0 1
3.3%
27.89 1
3.3%
28.05 1
3.3%
30.23 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
63.79 1
3.3%
58.14 1
3.3%
49.56 1
3.3%
49.46 1
3.3%
46.74 1
3.3%
46.03 1
3.3%
44.83 1
3.3%
43.08 1
3.3%
42.86 1
3.3%

index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.069667
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:59.071486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.248
Q126.2425
median40.42
Q354.755
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)28.5125

Descriptive statistics

Standard deviation28.521953
Coefficient of variation (CV)0.61910482
Kurtosis-0.059137851
Mean46.069667
Median Absolute Deviation (MAD)14.595
Skewness0.86248006
Sum1382.09
Variance813.50178
MonotonicityNot monotonic
2024-04-17T03:57:59.198512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
100.0 5
 
16.7%
61.73 1
 
3.3%
55.25 1
 
3.3%
21.12 1
 
3.3%
13.37 1
 
3.3%
53.27 1
 
3.3%
44.58 1
 
3.3%
29.66 1
 
3.3%
43.38 1
 
3.3%
52.44 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 1
3.3%
11.33 1
3.3%
13.37 1
3.3%
21.12 1
3.3%
24.43 1
3.3%
25.3 1
3.3%
25.34 1
3.3%
26.06 1
3.3%
26.79 1
3.3%
26.85 1
3.3%
ValueCountFrequency (%)
100.0 5
16.7%
62.26 1
 
3.3%
61.73 1
 
3.3%
55.25 1
 
3.3%
53.27 1
 
3.3%
52.59 1
 
3.3%
52.44 1
 
3.3%
44.58 1
 
3.3%
43.38 1
 
3.3%
42.46 1
 
3.3%

index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.559333
Minimum0
Maximum100
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:59.325588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.2425
median30.08
Q347
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)24.7575

Descriptive statistics

Standard deviation28.245845
Coefficient of variation (CV)0.79433
Kurtosis0.81982387
Mean35.559333
Median Absolute Deviation (MAD)10.415
Skewness1.0441152
Sum1066.78
Variance797.82778
MonotonicityNot monotonic
2024-04-17T03:57:59.439751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 5
 
16.7%
100.0 3
 
10.0%
17.92 1
 
3.3%
30.16 1
 
3.3%
22.08 1
 
3.3%
30.0 1
 
3.3%
30.3 1
 
3.3%
24.64 1
 
3.3%
39.8 1
 
3.3%
18.97 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 5
16.7%
17.92 1
 
3.3%
18.97 1
 
3.3%
22.08 1
 
3.3%
22.73 1
 
3.3%
23.96 1
 
3.3%
24.64 1
 
3.3%
25.42 1
 
3.3%
27.64 1
 
3.3%
29.8 1
 
3.3%
ValueCountFrequency (%)
100.0 3
10.0%
70.37 1
 
3.3%
64.35 1
 
3.3%
54.67 1
 
3.3%
50.0 1
 
3.3%
49.4 1
 
3.3%
39.8 1
 
3.3%
38.96 1
 
3.3%
34.03 1
 
3.3%
31.37 1
 
3.3%

index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.769333
Minimum0.41
Maximum90.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:59.571051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile0.556
Q14.69
median11.105
Q326.78
95-th percentile86.922
Maximum90.25
Range89.84
Interquartile range (IQR)22.09

Descriptive statistics

Standard deviation27.152258
Coefficient of variation (CV)1.1924924
Kurtosis1.3381575
Mean22.769333
Median Absolute Deviation (MAD)9.69
Skewness1.5310131
Sum683.08
Variance737.2451
MonotonicityNot monotonic
2024-04-17T03:57:59.686038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10.09 1
 
3.3%
16.07 1
 
3.3%
20.35 1
 
3.3%
27.22 1
 
3.3%
20.86 1
 
3.3%
25.82 1
 
3.3%
52.76 1
 
3.3%
1.83 1
 
3.3%
5.54 1
 
3.3%
23.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.41 1
3.3%
0.43 1
3.3%
0.71 1
3.3%
1.32 1
3.3%
1.48 1
3.3%
1.83 1
3.3%
3.15 1
3.3%
4.58 1
3.3%
5.02 1
3.3%
5.41 1
3.3%
ValueCountFrequency (%)
90.25 1
3.3%
88.11 1
3.3%
85.47 1
3.3%
60.27 1
3.3%
52.76 1
3.3%
50.83 1
3.3%
27.22 1
3.3%
27.1 1
3.3%
25.82 1
3.3%
23.1 1
3.3%

index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.228
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:59.807576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.366
Q12.725
median8.715
Q317.7775
95-th percentile53.1105
Maximum100
Range100
Interquartile range (IQR)15.0525

Descriptive statistics

Standard deviation22.334267
Coefficient of variation (CV)1.3762797
Kurtosis6.0632275
Mean16.228
Median Absolute Deviation (MAD)7.47
Skewness2.3120842
Sum486.84
Variance498.81949
MonotonicityNot monotonic
2024-04-17T03:57:59.953467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3.4 1
 
3.3%
51.22 1
 
3.3%
0.41 1
 
3.3%
8.27 1
 
3.3%
11.53 1
 
3.3%
17.51 1
 
3.3%
11.16 1
 
3.3%
9.3 1
 
3.3%
3.94 1
 
3.3%
2.47 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.33 1
3.3%
0.41 1
3.3%
0.54 1
3.3%
0.84 1
3.3%
1.65 1
3.3%
2.47 1
3.3%
2.67 1
3.3%
2.89 1
3.3%
3.4 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
53.79 1
3.3%
52.28 1
3.3%
51.22 1
3.3%
34.68 1
3.3%
26.19 1
3.3%
24.09 1
3.3%
17.86 1
3.3%
17.53 1
3.3%
17.51 1
3.3%

index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_MINMAX)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.712333
Minimum0.57
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:00.079970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile1.217
Q14.385
median6.775
Q324.62
95-th percentile100
Maximum100
Range99.43
Interquartile range (IQR)20.235

Descriptive statistics

Standard deviation32.642068
Coefficient of variation (CV)1.4371957
Kurtosis2.0880907
Mean22.712333
Median Absolute Deviation (MAD)4.685
Skewness1.8485141
Sum681.37
Variance1065.5046
MonotonicityNot monotonic
2024-04-17T03:58:00.213484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
100.0 4
 
13.3%
5.46 1
 
3.3%
24.11 1
 
3.3%
44.33 1
 
3.3%
24.79 1
 
3.3%
4.24 1
 
3.3%
15.73 1
 
3.3%
2.27 1
 
3.3%
0.57 1
 
3.3%
6.11 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.57 1
3.3%
0.83 1
3.3%
1.69 1
3.3%
1.91 1
3.3%
2.27 1
3.3%
3.08 1
3.3%
3.72 1
3.3%
4.24 1
3.3%
4.82 1
3.3%
4.87 1
3.3%
ValueCountFrequency (%)
100.0 4
13.3%
44.33 1
 
3.3%
32.27 1
 
3.3%
31.85 1
 
3.3%
24.79 1
 
3.3%
24.11 1
 
3.3%
19.16 1
 
3.3%
15.73 1
 
3.3%
10.98 1
 
3.3%
7.97 1
 
3.3%

견인요소A_매력도(ATTRACTION_A)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.064
Minimum-0.38
Maximum0.95
Zeros1
Zeros (%)3.3%
Negative11
Negative (%)36.7%
Memory size402.0 B
2024-04-17T03:58:00.332042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.38
5-th percentile-0.204
Q1-0.02
median0.04
Q30.1175
95-th percentile0.3205
Maximum0.95
Range1.33
Interquartile range (IQR)0.1375

Descriptive statistics

Standard deviation0.221135
Coefficient of variation (CV)3.4552344
Kurtosis8.7052016
Mean0.064
Median Absolute Deviation (MAD)0.075
Skewness2.047113
Sum1.92
Variance0.04890069
MonotonicityNot monotonic
2024-04-17T03:58:00.479293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.09 3
 
10.0%
-0.02 3
 
10.0%
0.04 2
 
6.7%
0.02 2
 
6.7%
-0.04 2
 
6.7%
0.12 2
 
6.7%
-0.38 1
 
3.3%
-0.16 1
 
3.3%
0.19 1
 
3.3%
0.37 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
-0.38 1
 
3.3%
-0.24 1
 
3.3%
-0.16 1
 
3.3%
-0.1 1
 
3.3%
-0.08 1
 
3.3%
-0.04 2
6.7%
-0.02 3
10.0%
-0.01 1
 
3.3%
0.0 1
 
3.3%
0.02 2
6.7%
ValueCountFrequency (%)
0.95 1
 
3.3%
0.37 1
 
3.3%
0.26 1
 
3.3%
0.22 1
 
3.3%
0.19 1
 
3.3%
0.13 1
 
3.3%
0.12 2
6.7%
0.11 1
 
3.3%
0.1 1
 
3.3%
0.09 3
10.0%

견인요소B_매력도(ATTRACTION_B)
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.014333333
Minimum-0.91
Maximum0.75
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)53.3%
Memory size402.0 B
2024-04-17T03:58:00.620545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.91
5-th percentile-0.327
Q1-0.1075
median-0.025
Q30.0825
95-th percentile0.3525
Maximum0.75
Range1.66
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.2702066
Coefficient of variation (CV)-18.851624
Kurtosis5.0729583
Mean-0.014333333
Median Absolute Deviation (MAD)0.085
Skewness-0.41599756
Sum-0.43
Variance0.073011609
MonotonicityNot monotonic
2024-04-17T03:58:00.747056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.01 3
 
10.0%
-0.04 2
 
6.7%
-0.11 2
 
6.7%
-0.07 2
 
6.7%
-0.1 2
 
6.7%
0.19 1
 
3.3%
0.2 1
 
3.3%
-0.16 1
 
3.3%
0.12 1
 
3.3%
-0.13 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
-0.91 1
3.3%
-0.39 1
3.3%
-0.25 1
3.3%
-0.2 1
3.3%
-0.16 1
3.3%
-0.13 1
3.3%
-0.11 2
6.7%
-0.1 2
6.7%
-0.08 1
3.3%
-0.07 2
6.7%
ValueCountFrequency (%)
0.75 1
3.3%
0.42 1
3.3%
0.27 1
3.3%
0.2 1
3.3%
0.19 1
3.3%
0.13 1
3.3%
0.12 1
3.3%
0.09 1
3.3%
0.06 1
3.3%
0.05 1
3.3%

견인요소C_매력도(ATTRACTION_C)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.052
Minimum-0.27
Maximum0.16
Zeros3
Zeros (%)10.0%
Negative18
Negative (%)60.0%
Memory size402.0 B
2024-04-17T03:58:00.873917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.27
5-th percentile-0.2365
Q1-0.1275
median-0.05
Q30.025
95-th percentile0.112
Maximum0.16
Range0.43
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation0.10548411
Coefficient of variation (CV)-2.0285405
Kurtosis-0.22700725
Mean-0.052
Median Absolute Deviation (MAD)0.08
Skewness-0.18042058
Sum-1.56
Variance0.011126897
MonotonicityNot monotonic
2024-04-17T03:58:01.008037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.04 4
13.3%
-0.05 3
 
10.0%
0.0 3
 
10.0%
-0.04 2
 
6.7%
-0.07 2
 
6.7%
-0.13 2
 
6.7%
-0.08 2
 
6.7%
-0.25 1
 
3.3%
-0.12 1
 
3.3%
-0.27 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
-0.27 1
3.3%
-0.25 1
3.3%
-0.22 1
3.3%
-0.18 1
3.3%
-0.16 1
3.3%
-0.15 1
3.3%
-0.13 2
6.7%
-0.12 1
3.3%
-0.08 2
6.7%
-0.07 2
6.7%
ValueCountFrequency (%)
0.16 1
 
3.3%
0.13 1
 
3.3%
0.09 1
 
3.3%
0.04 4
13.3%
0.03 1
 
3.3%
0.01 1
 
3.3%
0.0 3
10.0%
-0.04 2
6.7%
-0.05 3
10.0%
-0.07 2
6.7%

견인요소A_매력도_minmax(ATTRACTION_A_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.551
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:01.122811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.414
Q12.845
median4.21
Q314.2475
95-th percentile78.094
Maximum100
Range100
Interquartile range (IQR)11.4025

Descriptive statistics

Standard deviation26.758244
Coefficient of variation (CV)1.6167146
Kurtosis4.4171174
Mean16.551
Median Absolute Deviation (MAD)3.025
Skewness2.2504634
Sum496.53
Variance716.0036
MonotonicityNot monotonic
2024-04-17T03:58:01.245552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.32 1
 
3.3%
5.04 1
 
3.3%
9.6 1
 
3.3%
3.56 1
 
3.3%
39.43 1
 
3.3%
56.71 1
 
3.3%
2.1 1
 
3.3%
2.79 1
 
3.3%
13.7 1
 
3.3%
4.66 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.36 1
3.3%
0.48 1
3.3%
0.8 1
3.3%
1.57 1
3.3%
2.1 1
3.3%
2.79 1
3.3%
2.84 1
3.3%
2.86 1
3.3%
2.94 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
95.59 1
3.3%
56.71 1
3.3%
56.65 1
3.3%
39.43 1
3.3%
28.32 1
3.3%
15.21 1
3.3%
14.43 1
3.3%
13.7 1
3.3%
11.58 1
3.3%

견인요소B_매력도_minmax(ATTRACTION_B_MINMAX)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.439333
Minimum0
Maximum100
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:01.368037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3105
Q13.565
median6.89
Q312.445
95-th percentile68.4335
Maximum100
Range100
Interquartile range (IQR)8.88

Descriptive statistics

Standard deviation25.28703
Coefficient of variation (CV)1.5382029
Kurtosis3.9279569
Mean16.439333
Median Absolute Deviation (MAD)4.705
Skewness2.164845
Sum493.18
Variance639.43386
MonotonicityNot monotonic
2024-04-17T03:58:01.488493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 2
 
6.7%
76.79 1
 
3.3%
0.69 1
 
3.3%
5.92 1
 
3.3%
3.73 1
 
3.3%
15.93 1
 
3.3%
6.98 1
 
3.3%
53.67 1
 
3.3%
13.41 1
 
3.3%
10.48 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.0 2
6.7%
0.69 1
3.3%
1.06 1
3.3%
1.56 1
3.3%
1.78 1
3.3%
2.42 1
3.3%
3.51 1
3.3%
3.73 1
3.3%
4.1 1
3.3%
4.31 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
76.79 1
3.3%
58.22 1
3.3%
56.03 1
3.3%
53.67 1
3.3%
15.93 1
3.3%
13.41 1
3.3%
12.65 1
3.3%
11.83 1
3.3%
10.48 1
3.3%

견인요소C_매력도_minmax(ATTRACTION_C_MINMAX)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.389667
Minimum0
Maximum82.82
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:01.643480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2655
Q14.3525
median7.09
Q317.415
95-th percentile68.7555
Maximum82.82
Range82.82
Interquartile range (IQR)13.0625

Descriptive statistics

Standard deviation22.912836
Coefficient of variation (CV)1.3176122
Kurtosis2.3782057
Mean17.389667
Median Absolute Deviation (MAD)6.105
Skewness1.8555123
Sum521.69
Variance524.99807
MonotonicityNot monotonic
2024-04-17T03:58:01.767332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 2
 
6.7%
4.63 1
 
3.3%
5.72 1
 
3.3%
16.12 1
 
3.3%
17.59 1
 
3.3%
66.44 1
 
3.3%
1.23 1
 
3.3%
82.82 1
 
3.3%
3.45 1
 
3.3%
4.92 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.0 2
6.7%
0.59 1
3.3%
1.23 1
3.3%
1.66 1
3.3%
3.3 1
3.3%
3.45 1
3.3%
4.26 1
3.3%
4.63 1
3.3%
4.81 1
3.3%
4.92 1
3.3%
ValueCountFrequency (%)
82.82 1
3.3%
70.65 1
3.3%
66.44 1
3.3%
62.58 1
3.3%
36.68 1
3.3%
25.79 1
3.3%
19.66 1
3.3%
17.59 1
3.3%
16.89 1
3.3%
16.12 1
3.3%

견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.370333
Minimum0
Maximum97.48
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:01.887018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.167
Q135.845
median39.815
Q347.485
95-th percentile71.2375
Maximum97.48
Range97.48
Interquartile range (IQR)11.64

Descriptive statistics

Standard deviation18.150162
Coefficient of variation (CV)0.42836959
Kurtosis2.548817
Mean42.370333
Median Absolute Deviation (MAD)6.245
Skewness0.78123253
Sum1271.11
Variance329.42839
MonotonicityNot monotonic
2024-04-17T03:58:02.017680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
26.1 1
 
3.3%
38.55 1
 
3.3%
55.2 1
 
3.3%
40.57 1
 
3.3%
58.56 1
 
3.3%
36.39 1
 
3.3%
0.0 1
 
3.3%
42.29 1
 
3.3%
25.11 1
 
3.3%
66.48 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
17.98 1
3.3%
22.84 1
3.3%
25.11 1
3.3%
26.1 1
3.3%
30.42 1
3.3%
35.1 1
3.3%
35.81 1
3.3%
35.95 1
3.3%
36.39 1
3.3%
ValueCountFrequency (%)
97.48 1
3.3%
75.13 1
3.3%
66.48 1
3.3%
66.43 1
3.3%
58.56 1
3.3%
55.2 1
3.3%
48.14 1
3.3%
47.49 1
3.3%
47.47 1
3.3%
44.65 1
3.3%

견인요소B_매력도_minmax_이동평균(MA_ATTRACTION_B_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.233
Minimum15.64
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:02.140703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.64
5-th percentile18.8525
Q130.74
median33.165
Q337.21
95-th percentile45.115
Maximum100
Range84.36
Interquartile range (IQR)6.47

Descriptive statistics

Standard deviation14.079196
Coefficient of variation (CV)0.39960252
Kurtosis16.023996
Mean35.233
Median Absolute Deviation (MAD)3.955
Skewness3.3769726
Sum1056.99
Variance198.22375
MonotonicityNot monotonic
2024-04-17T03:58:02.264888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20.42 1
 
3.3%
29.0 1
 
3.3%
32.99 1
 
3.3%
33.0 1
 
3.3%
41.27 1
 
3.3%
31.79 1
 
3.3%
32.59 1
 
3.3%
24.1 1
 
3.3%
32.9 1
 
3.3%
17.57 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
15.64 1
3.3%
17.57 1
3.3%
20.42 1
3.3%
24.1 1
3.3%
26.98 1
3.3%
28.9 1
3.3%
29.0 1
3.3%
30.39 1
3.3%
31.79 1
3.3%
32.59 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
45.52 1
3.3%
44.62 1
3.3%
41.27 1
3.3%
40.08 1
3.3%
39.68 1
3.3%
37.73 1
3.3%
37.3 1
3.3%
36.94 1
3.3%
36.78 1
3.3%

견인요소C_매력도_minmax_이동평균(MA_ATTRACTION_C_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.116667
Minimum7
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:02.375503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9.735
Q130.11
median34.99
Q344.2525
95-th percentile74.953
Maximum100
Range93
Interquartile range (IQR)14.1425

Descriptive statistics

Standard deviation19.779191
Coefficient of variation (CV)0.51891189
Kurtosis2.7563169
Mean38.116667
Median Absolute Deviation (MAD)8.125
Skewness1.2288881
Sum1143.5
Variance391.21642
MonotonicityNot monotonic
2024-04-17T03:58:02.501922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
41.08 1
 
3.3%
7.0 1
 
3.3%
49.18 1
 
3.3%
55.36 1
 
3.3%
43.57 1
 
3.3%
23.88 1
 
3.3%
14.29 1
 
3.3%
22.99 1
 
3.3%
11.77 1
 
3.3%
32.92 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
7.0 1
3.3%
8.07 1
3.3%
11.77 1
3.3%
14.29 1
3.3%
22.99 1
3.3%
23.88 1
3.3%
27.32 1
3.3%
30.06 1
3.3%
30.26 1
3.3%
30.75 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
82.63 1
3.3%
65.57 1
3.3%
55.36 1
3.3%
52.09 1
3.3%
49.18 1
3.3%
46.05 1
3.3%
44.48 1
3.3%
43.57 1
3.3%
42.27 1
3.3%

매력도_평균(AVG_ATTRACTION)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039
Minimum-0.24
Maximum0.98
Zeros1
Zeros (%)3.3%
Negative17
Negative (%)56.7%
Memory size402.0 B
2024-04-17T03:58:02.610121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.24
5-th percentile-0.162
Q1-0.04
median-0.01
Q30.0525
95-th percentile0.435
Maximum0.98
Range1.22
Interquartile range (IQR)0.0925

Descriptive statistics

Standard deviation0.22658408
Coefficient of variation (CV)5.8098482
Kurtosis10.777251
Mean0.039
Median Absolute Deviation (MAD)0.04
Skewness3.0083457
Sum1.17
Variance0.051340345
MonotonicityNot monotonic
2024-04-17T03:58:02.725356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-0.01 5
16.7%
-0.03 3
 
10.0%
0.06 3
 
10.0%
0.03 2
 
6.7%
-0.04 2
 
6.7%
-0.08 1
 
3.3%
-0.11 1
 
3.3%
0.57 1
 
3.3%
0.27 1
 
3.3%
-0.18 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
-0.24 1
 
3.3%
-0.18 1
 
3.3%
-0.14 1
 
3.3%
-0.11 1
 
3.3%
-0.09 1
 
3.3%
-0.08 1
 
3.3%
-0.05 1
 
3.3%
-0.04 2
 
6.7%
-0.03 3
10.0%
-0.01 5
16.7%
ValueCountFrequency (%)
0.98 1
 
3.3%
0.57 1
 
3.3%
0.27 1
 
3.3%
0.1 1
 
3.3%
0.09 1
 
3.3%
0.06 3
10.0%
0.03 2
6.7%
0.02 1
 
3.3%
0.01 1
 
3.3%
0.0 1
 
3.3%

매력도_평균_minmax(AVG_ATTRACTION_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.844667
Minimum2.43
Maximum88.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:02.847390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.43
5-th percentile7.279
Q130.19
median39.61
Q345.2875
95-th percentile63.0135
Maximum88.62
Range86.19
Interquartile range (IQR)15.0975

Descriptive statistics

Standard deviation17.428726
Coefficient of variation (CV)0.46053321
Kurtosis1.8119378
Mean37.844667
Median Absolute Deviation (MAD)9.21
Skewness0.42242513
Sum1135.34
Variance303.76048
MonotonicityNot monotonic
2024-04-17T03:58:02.966670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
57.53 1
 
3.3%
30.43 1
 
3.3%
37.14 1
 
3.3%
39.86 1
 
3.3%
26.83 1
 
3.3%
49.24 1
 
3.3%
19.53 1
 
3.3%
42.6 1
 
3.3%
39.73 1
 
3.3%
28.95 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2.43 1
3.3%
6.46 1
3.3%
8.28 1
3.3%
19.53 1
3.3%
23.49 1
3.3%
26.83 1
3.3%
28.95 1
3.3%
30.13 1
3.3%
30.37 1
3.3%
30.43 1
3.3%
ValueCountFrequency (%)
88.62 1
3.3%
67.5 1
3.3%
57.53 1
3.3%
53.86 1
3.3%
51.72 1
3.3%
49.24 1
3.3%
46.96 1
3.3%
45.52 1
3.3%
44.59 1
3.3%
42.6 1
3.3%

매력도_평균_minmax_이동평균(MA_AVG_ATTRACTION_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.279
Minimum25.23
Maximum64.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:03.088282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.23
5-th percentile28.5055
Q134.175
median37.27
Q340.3475
95-th percentile52.963
Maximum64.87
Range39.64
Interquartile range (IQR)6.1725

Descriptive statistics

Standard deviation7.8775116
Coefficient of variation (CV)0.20579199
Kurtosis4.7812502
Mean38.279
Median Absolute Deviation (MAD)3.3
Skewness1.7356399
Sum1148.37
Variance62.055189
MonotonicityNot monotonic
2024-04-17T03:58:03.213157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
36.6 1
 
3.3%
40.55 1
 
3.3%
37.14 1
 
3.3%
43.43 1
 
3.3%
64.87 1
 
3.3%
39.65 1
 
3.3%
37.3 1
 
3.3%
40.63 1
 
3.3%
58.84 1
 
3.3%
33.95 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
25.23 1
3.3%
28.42 1
3.3%
28.61 1
3.3%
30.19 1
3.3%
32.79 1
3.3%
33.15 1
3.3%
33.3 1
3.3%
33.95 1
3.3%
34.85 1
3.3%
36.6 1
3.3%
ValueCountFrequency (%)
64.87 1
3.3%
58.84 1
3.3%
45.78 1
3.3%
43.43 1
3.3%
41.74 1
3.3%
40.86 1
3.3%
40.63 1
3.3%
40.55 1
3.3%
39.74 1
3.3%
39.65 1
3.3%

최종지표(INDEX)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.828
Minimum0.06
Maximum2.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:03.349956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.109
Q10.2325
median0.7
Q30.9475
95-th percentile2.527
Maximum2.71
Range2.65
Interquartile range (IQR)0.715

Descriptive statistics

Standard deviation0.75451926
Coefficient of variation (CV)0.91125514
Kurtosis0.94966406
Mean0.828
Median Absolute Deviation (MAD)0.465
Skewness1.2893719
Sum24.84
Variance0.56929931
MonotonicityNot monotonic
2024-04-17T03:58:03.508801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.12 2
 
6.7%
0.06 1
 
3.3%
0.76 1
 
3.3%
0.73 1
 
3.3%
0.32 1
 
3.3%
0.67 1
 
3.3%
1.35 1
 
3.3%
0.79 1
 
3.3%
0.28 1
 
3.3%
0.1 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.06 1
3.3%
0.1 1
3.3%
0.12 2
6.7%
0.16 1
3.3%
0.2 1
3.3%
0.21 1
3.3%
0.23 1
3.3%
0.24 1
3.3%
0.28 1
3.3%
0.31 1
3.3%
ValueCountFrequency (%)
2.71 1
3.3%
2.59 1
3.3%
2.45 1
3.3%
1.84 1
3.3%
1.53 1
3.3%
1.47 1
3.3%
1.35 1
3.3%
0.96 1
3.3%
0.91 1
3.3%
0.89 1
3.3%

최종지표_이동편균(MA_INDEX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.562667
Minimum0
Maximum97.44
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:03.633644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.316
Q14.24
median9.955
Q326.8825
95-th percentile64.9555
Maximum97.44
Range97.44
Interquartile range (IQR)22.6425

Descriptive statistics

Standard deviation23.153444
Coefficient of variation (CV)1.2473124
Kurtosis4.53461
Mean18.562667
Median Absolute Deviation (MAD)8.94
Skewness2.0661408
Sum556.88
Variance536.08197
MonotonicityNot monotonic
2024-04-17T03:58:03.770321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4.2 1
 
3.3%
10.93 1
 
3.3%
0.0 1
 
3.3%
6.18 1
 
3.3%
97.44 1
 
3.3%
5.07 1
 
3.3%
0.77 1
 
3.3%
27.38 1
 
3.3%
0.94 1
 
3.3%
3.97 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.1 1
3.3%
0.58 1
3.3%
0.77 1
3.3%
0.94 1
3.3%
1.09 1
3.3%
3.97 1
3.3%
4.2 1
3.3%
4.36 1
3.3%
4.92 1
3.3%
ValueCountFrequency (%)
97.44 1
3.3%
77.92 1
3.3%
49.11 1
3.3%
42.18 1
3.3%
34.21 1
3.3%
32.22 1
3.3%
29.71 1
3.3%
27.38 1
3.3%
25.39 1
3.3%
21.05 1
3.3%

객단가(UNIT_PRICE)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7716.2
Minimum5394
Maximum9512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:03.888861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5394
5-th percentile6222.75
Q17120.75
median7663.5
Q38204.5
95-th percentile9394.75
Maximum9512
Range4118
Interquartile range (IQR)1083.75

Descriptive statistics

Standard deviation983.22178
Coefficient of variation (CV)0.12742305
Kurtosis-0.0079253826
Mean7716.2
Median Absolute Deviation (MAD)573
Skewness-0.050778854
Sum231486
Variance966725.06
MonotonicityNot monotonic
2024-04-17T03:58:04.351371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7023 1
 
3.3%
8588 1
 
3.3%
7996 1
 
3.3%
8894 1
 
3.3%
6308 1
 
3.3%
8485 1
 
3.3%
7970 1
 
3.3%
6153 1
 
3.3%
9044 1
 
3.3%
6934 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
5394 1
3.3%
6153 1
3.3%
6308 1
3.3%
6756 1
3.3%
6934 1
3.3%
7023 1
3.3%
7024 1
3.3%
7090 1
3.3%
7213 1
3.3%
7244 1
3.3%
ValueCountFrequency (%)
9512 1
3.3%
9469 1
3.3%
9304 1
3.3%
9044 1
3.3%
8894 1
3.3%
8588 1
3.3%
8485 1
3.3%
8236 1
3.3%
8110 1
3.3%
8055 1
3.3%

Sample

날짜(DATE)주차(WEEK)행정구(REGION)index_건수(USE_FREQ)index_건수_minmax(INDEX_FREQ_MINMAX)index_건수_minmax_이동평균(MA_INDEX_FREQ_MINMAX)index_sns버즈량(BUZZ_FREQ)index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX)index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX)index_견인요소A(TRACTION_A)index_견인요소B(TRACTION_B)index_견인요소C(TRACTION_C)index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX)index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX)index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX)index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX)index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX)index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_MINMAX)견인요소A_매력도(ATTRACTION_A)견인요소B_매력도(ATTRACTION_B)견인요소C_매력도(ATTRACTION_C)견인요소A_매력도_minmax(ATTRACTION_A_MINMAX)견인요소B_매력도_minmax(ATTRACTION_B_MINMAX)견인요소C_매력도_minmax(ATTRACTION_C_MINMAX)견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX)견인요소B_매력도_minmax_이동평균(MA_ATTRACTION_B_MINMAX)견인요소C_매력도_minmax_이동평균(MA_ATTRACTION_C_MINMAX)매력도_평균(AVG_ATTRACTION)매력도_평균_minmax(AVG_ATTRACTION_MINMAX)매력도_평균_minmax_이동평균(MA_AVG_ATTRACTION_MINMAX)최종지표(INDEX)최종지표_이동편균(MA_INDEX)객단가(UNIT_PRICE)
02017년 12월 3주141은평구0.2810.3216.05.0665.6328.995.10.030.3958.1461.7317.9210.093.45.460.040.19-0.0428.3276.794.6326.120.4241.080.0357.5336.60.064.27023
12018년 10월 4주68송파구0.5144.6710.540.2369.880.20.520.320.0425.026.850.06.017.86100.00.0-0.07-0.132.866.89.835.95100.032.26-0.0132.1633.150.2121.058110
22019년 4월 3주134광진구1.859.4618.110.0410.06100.02.671.660.7449.4624.430.085.47100.03.080.26-0.25-0.150.0100.04.8147.4726.9865.57-0.032.4328.420.968.987024
32018년 4월 2주44강북구0.621.8617.90.35.19.440.220.040.0163.7925.3423.9619.324.714.82-0.24-0.080.043.894.170.6575.1344.6230.06-0.0453.8637.472.711.097626
42017년 4월 2주54강동구0.990.3615.760.2538.1519.40.550.070.8246.03100.049.412.120.540.83-0.10.130.04100.00.08.6639.0630.3942.27-0.0135.7739.740.1613.038236
52019년 3월 4주32강서구1.3910.6916.250.8710.3860.972.320.131.6949.5625.338.960.4352.286.990.020.05-0.0511.581.061.6641.3737.7336.720.0946.9625.230.6513.769304
62019년 7월 4주104구로구0.468.199.680.9111.312.650.13.040.4640.720.00.050.8353.794.88-0.38-0.39-0.221.574.3113.935.145.528.07-0.0130.5441.740.1242.187262
72017년 3월 4주55구로구0.9231.4128.360.23.3416.980.781.450.0630.2311.330.05.020.336.56-0.01-0.01-0.045.465.665.3537.4133.2534.45-0.0945.5237.930.3115.958055
82019년 12월 2주150노원구1.729.948.620.60.00.223.410.451.185.08100.0100.00.712.671.690.07-0.040.130.481.5625.7943.7536.72100.00.0351.7234.850.8932.227252
92019년 6월 3주112구로구0.830.046.530.217.6851.690.040.980.5746.74100.054.6760.2710.6219.16-0.02-0.040.032.9458.2236.6844.6515.6452.090.044.5936.660.649.118028
날짜(DATE)주차(WEEK)행정구(REGION)index_건수(USE_FREQ)index_건수_minmax(INDEX_FREQ_MINMAX)index_건수_minmax_이동평균(MA_INDEX_FREQ_MINMAX)index_sns버즈량(BUZZ_FREQ)index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX)index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX)index_견인요소A(TRACTION_A)index_견인요소B(TRACTION_B)index_견인요소C(TRACTION_C)index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX)index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX)index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX)index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX)index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX)index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_MINMAX)견인요소A_매력도(ATTRACTION_A)견인요소B_매력도(ATTRACTION_B)견인요소C_매력도(ATTRACTION_C)견인요소A_매력도_minmax(ATTRACTION_A_MINMAX)견인요소B_매력도_minmax(ATTRACTION_B_MINMAX)견인요소C_매력도_minmax(ATTRACTION_C_MINMAX)견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX)견인요소B_매력도_minmax_이동평균(MA_ATTRACTION_B_MINMAX)견인요소C_매력도_minmax_이동평균(MA_ATTRACTION_C_MINMAX)매력도_평균(AVG_ATTRACTION)매력도_평균_minmax(AVG_ATTRACTION_MINMAX)매력도_평균_minmax_이동평균(MA_AVG_ATTRACTION_MINMAX)최종지표(INDEX)최종지표_이동편균(MA_INDEX)객단가(UNIT_PRICE)
202018년 4월 2주115영등포구1.4430.4888.390.1310.713.324.355.930.0321.3737.2431.371.4817.53100.00.22-0.2-0.2515.216.9916.8997.4835.0935.530.026.4639.412.4512.287474
212019년 8월 2주13구로구3.6113.6931.072.467.486.510.390.050.2228.0552.44100.088.113.926.11-0.020.030.014.433.517.166.4333.0844.48-0.2467.536.790.225.395394
222018년 12월 4주53용산구1.09.5634.031.23100.06.470.190.20.9143.0843.3822.7323.12.470.570.020.010.044.664.344.9266.4817.5732.92-0.1828.9533.950.13.976934
232019년 10월 4주20구로구0.937.7636.460.724.991.530.450.210.1244.83100.064.355.543.942.270.04-0.110.0113.710.483.4525.1132.911.770.2739.7358.840.280.949044
242019년 5월 4주46관악구1.0846.437.470.49100.022.720.025.860.0324.7629.6618.971.839.315.73-0.080.270.02.7913.4182.8242.2924.122.99-0.0442.640.630.7927.386153
252017년 4월 4주124성동구0.516.0918.290.9818.8758.970.331.661.827.8944.5839.852.7611.164.240.11-0.91-0.182.153.670.00.032.5914.290.5719.5337.31.350.777970
262019년 9월 3주141양천구1.4569.1819.514.7713.0372.361.44.181.00.053.2724.6425.8217.5124.790.370.06-0.1656.716.981.2336.3931.7923.88-0.0349.2439.650.675.078485
272018년 10월 5주28서대문구0.5614.439.970.4125.1752.622.70.110.7833.93100.030.320.8611.5344.330.19-0.13-0.2739.4315.9366.4458.5641.2743.570.0626.8364.870.1297.446308
282018년 7월 1주34영등포구0.4524.189.950.6111.119.90.510.650.2131.3413.3730.027.228.2724.11-0.040.12-0.123.563.7317.5940.5733.055.36-0.1139.8643.430.326.188894
292019년 11월 1주131성북구0.8633.048.330.282.731.320.131.870.1331.8721.1222.0820.350.41100.00.09-0.16-0.059.65.9216.1255.232.9949.18-0.0137.1437.140.730.07996