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_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX) has unique valuesUnique
index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_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
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 1 (3.3%) zerosZeros
index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX) has 3 (10.0%) zerosZeros
index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX) has 3 (10.0%) zerosZeros
index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX) has 1 (3.3%) zerosZeros
견인요소B_매력도(ATTRACTION_B) has 1 (3.3%) zerosZeros
견인요소C_매력도(ATTRACTION_C) has 1 (3.3%) zerosZeros
견인요소A_매력도_minmax(ATTRACTION_A_MINMAX) has 3 (10.0%) zerosZeros
견인요소B_매력도_minmax(ATTRACTION_B_MINMAX) has 1 (3.3%) zerosZeros
견인요소C_매력도_minmax(ATTRACTION_C_MINMAX) has 4 (13.3%) zerosZeros

Reproduction

Analysis started2024-04-16 18:58:06.795219
Analysis finished2024-04-16 18:58:07.055456
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜(DATE)
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:58:07.142280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.166667
Min length11

Characters and Unicode

Total characters335
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

Unique24 ?
Unique (%)80.0%

Sample

1st row2017년 5월 1주
2nd row2018년 6월 4주
3rd row2017년 8월 1주
4th row2019년 3월 4주
5th row2018년 4월 4주
ValueCountFrequency (%)
2017년 14
15.6%
4주 10
11.1%
1주 9
10.0%
2018년 9
10.0%
2019년 7
 
7.8%
5월 6
 
6.7%
3주 5
 
5.6%
2월 4
 
4.4%
7월 4
 
4.4%
4월 3
 
3.3%
Other values (10) 19
21.1%
2024-04-17T03:58:07.448704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
17.9%
1 48
14.3%
2 38
11.3%
0 31
9.3%
년 30
9.0%
월 30
9.0%
주 30
9.0%
7 18
 
5.4%
4 13
 
3.9%
8 10
 
3.0%
Other values (4) 27
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
55.2%
Other Letter 90
26.9%
Space Separator 60
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 48
25.9%
2 38
20.5%
0 31
16.8%
7 18
 
9.7%
4 13
 
7.0%
8 10
 
5.4%
5 9
 
4.9%
9 9
 
4.9%
3 8
 
4.3%
6 1
 
0.5%
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 245
73.1%
Hangul 90
 
26.9%

Most frequent character per script

Common
ValueCountFrequency (%)
60
24.5%
1 48
19.6%
2 38
15.5%
0 31
12.7%
7 18
 
7.3%
4 13
 
5.3%
8 10
 
4.1%
5 9
 
3.7%
9 9
 
3.7%
3 8
 
3.3%
Hangul
ValueCountFrequency (%)
년 30
33.3%
월 30
33.3%
주 30
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
73.1%
Hangul 90
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
24.5%
1 48
19.6%
2 38
15.5%
0 31
12.7%
7 18
 
7.3%
4 13
 
5.3%
8 10
 
4.1%
5 9
 
3.7%
9 9
 
3.7%
3 8
 
3.3%
Hangul
ValueCountFrequency (%)
년 30
33.3%
월 30
33.3%
주 30
33.3%

주차(WEEK)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.933333
Minimum5
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:07.561111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12.8
Q133.25
median85.5
Q3116.75
95-th percentile146.05
Maximum153
Range148
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation47.420302
Coefficient of variation (CV)0.60847265
Kurtosis-1.4403912
Mean77.933333
Median Absolute Deviation (MAD)39
Skewness-0.042247679
Sum2338
Variance2248.6851
MonotonicityNot monotonic
2024-04-17T03:58:07.696072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
47 2
 
6.7%
106 2
 
6.7%
81 1
 
3.3%
140 1
 
3.3%
31 1
 
3.3%
151 1
 
3.3%
16 1
 
3.3%
90 1
 
3.3%
99 1
 
3.3%
64 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
5 1
3.3%
11 1
3.3%
15 1
3.3%
16 1
3.3%
19 1
3.3%
22 1
3.3%
31 1
3.3%
33 1
3.3%
34 1
3.3%
47 2
6.7%
ValueCountFrequency (%)
153 1
3.3%
151 1
3.3%
140 1
3.3%
139 1
3.3%
127 1
3.3%
125 1
3.3%
121 1
3.3%
117 1
3.3%
116 1
3.3%
110 1
3.3%

행정구(REGION)
Text

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:58:07.876022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1333333
Min length2

Characters and Unicode

Total characters94
Distinct characters32
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

Unique12 ?
Unique (%)40.0%

Sample

1st row금천구
2nd row은평구
3rd row동대문구
4th row종로구
5th row노원구
ValueCountFrequency (%)
종로구 3
 
10.0%
영등포구 3
 
10.0%
강남구 3
 
10.0%
동작구 3
 
10.0%
광진구 2
 
6.7%
마포구 2
 
6.7%
관악구 2
 
6.7%
도봉구 1
 
3.3%
금천구 1
 
3.3%
송파구 1
 
3.3%
Other values (9) 9
30.0%
2024-04-17T03:58:08.199821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 30
31.9%
동 5
 
5.3%
포 5
 
5.3%
강 5
 
5.3%
종 3
 
3.2%
작 3
 
3.2%
영 3
 
3.2%
등 3
 
3.2%
남 3
 
3.2%
로 3
 
3.2%
Other values (22) 31
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 30
31.9%
동 5
 
5.3%
포 5
 
5.3%
강 5
 
5.3%
종 3
 
3.2%
작 3
 
3.2%
영 3
 
3.2%
등 3
 
3.2%
남 3
 
3.2%
로 3
 
3.2%
Other values (22) 31
33.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 30
31.9%
동 5
 
5.3%
포 5
 
5.3%
강 5
 
5.3%
종 3
 
3.2%
작 3
 
3.2%
영 3
 
3.2%
등 3
 
3.2%
남 3
 
3.2%
로 3
 
3.2%
Other values (22) 31
33.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 30
31.9%
동 5
 
5.3%
포 5
 
5.3%
강 5
 
5.3%
종 3
 
3.2%
작 3
 
3.2%
영 3
 
3.2%
등 3
 
3.2%
남 3
 
3.2%
로 3
 
3.2%
Other values (22) 31
33.0%

index_건수(USE_FREQ)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145
Minimum0.19
Maximum2.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:08.324108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.288
Q10.3725
median0.81
Q31.6375
95-th percentile2.766
Maximum2.9
Range2.71
Interquartile range (IQR)1.265

Descriptive statistics

Standard deviation0.878599
Coefficient of variation (CV)0.76733537
Kurtosis-0.54025911
Mean1.145
Median Absolute Deviation (MAD)0.49
Skewness0.83129928
Sum34.35
Variance0.77193621
MonotonicityNot monotonic
2024-04-17T03:58:08.445379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.37 2
 
6.7%
1.66 2
 
6.7%
1.65 1
 
3.3%
0.4 1
 
3.3%
1.5 1
 
3.3%
1.44 1
 
3.3%
1.18 1
 
3.3%
0.38 1
 
3.3%
0.8 1
 
3.3%
2.82 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.19 1
3.3%
0.27 1
3.3%
0.31 1
3.3%
0.33 1
3.3%
0.35 1
3.3%
0.36 1
3.3%
0.37 2
6.7%
0.38 1
3.3%
0.4 1
3.3%
0.5 1
3.3%
ValueCountFrequency (%)
2.9 1
3.3%
2.82 1
3.3%
2.7 1
3.3%
2.69 1
3.3%
2.65 1
3.3%
1.66 2
6.7%
1.65 1
3.3%
1.6 1
3.3%
1.5 1
3.3%
1.44 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%
Mean24.337667
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:08.570927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6215
Q15.545
median11.525
Q339.1225
95-th percentile86.767
Maximum100
Range100
Interquartile range (IQR)33.5775

Descriptive statistics

Standard deviation27.651405
Coefficient of variation (CV)1.1361568
Kurtosis1.5455019
Mean24.337667
Median Absolute Deviation (MAD)9.375
Skewness1.5143104
Sum730.13
Variance764.60022
MonotonicityNot monotonic
2024-04-17T03:58:08.707874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 1
 
3.3%
42.39 1
 
3.3%
5.54 1
 
3.3%
17.59 1
 
3.3%
5.79 1
 
3.3%
25.44 1
 
3.3%
43.28 1
 
3.3%
9.96 1
 
3.3%
12.94 1
 
3.3%
5.56 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.32 1
3.3%
0.99 1
3.3%
3.31 1
3.3%
4.01 1
3.3%
4.23 1
3.3%
4.91 1
3.3%
5.54 1
3.3%
5.56 1
3.3%
5.79 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
90.43 1
3.3%
82.29 1
3.3%
53.6 1
3.3%
52.63 1
3.3%
43.88 1
3.3%
43.28 1
3.3%
42.39 1
3.3%
29.32 1
3.3%
25.44 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%
Mean30.283333
Minimum0.55
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:08.830333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.55
5-th percentile1.0235
Q110.395
median21.155
Q333.91
95-th percentile89.749
Maximum100
Range99.45
Interquartile range (IQR)23.515

Descriptive statistics

Standard deviation30.714397
Coefficient of variation (CV)1.0142343
Kurtosis0.10289437
Mean30.283333
Median Absolute Deviation (MAD)12.495
Skewness1.1915206
Sum908.5
Variance943.37416
MonotonicityNot monotonic
2024-04-17T03:58:08.954691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
84.6 1
 
3.3%
17.49 1
 
3.3%
73.14 1
 
3.3%
80.54 1
 
3.3%
21.15 1
 
3.3%
2.99 1
 
3.3%
93.34 1
 
3.3%
1.07 1
 
3.3%
46.91 1
 
3.3%
14.26 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.55 1
3.3%
1.01 1
3.3%
1.04 1
3.3%
1.07 1
3.3%
2.99 1
3.3%
4.21 1
3.3%
6.16 1
3.3%
10.08 1
3.3%
11.34 1
3.3%
12.33 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
93.34 1
3.3%
85.36 1
3.3%
84.6 1
3.3%
80.54 1
3.3%
73.14 1
3.3%
46.91 1
3.3%
34.17 1
3.3%
33.13 1
3.3%
29.19 1
3.3%

index_sns버즈량(BUZZ_FREQ)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59066667
Minimum0.07
Maximum2.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:09.062277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.1045
Q10.1775
median0.41
Q30.6825
95-th percentile1.8995
Maximum2.98
Range2.91
Interquartile range (IQR)0.505

Descriptive statistics

Standard deviation0.64157099
Coefficient of variation (CV)1.0861811
Kurtosis6.850404
Mean0.59066667
Median Absolute Deviation (MAD)0.245
Skewness2.485306
Sum17.72
Variance0.41161333
MonotonicityNot monotonic
2024-04-17T03:58:09.176266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.14 2
 
6.7%
0.49 2
 
6.7%
0.17 2
 
6.7%
0.66 1
 
3.3%
0.11 1
 
3.3%
0.73 1
 
3.3%
0.1 1
 
3.3%
0.85 1
 
3.3%
0.36 1
 
3.3%
0.64 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.07 1
3.3%
0.1 1
3.3%
0.11 1
3.3%
0.12 1
3.3%
0.14 2
6.7%
0.17 2
6.7%
0.2 1
3.3%
0.26 1
3.3%
0.27 1
3.3%
0.3 1
3.3%
ValueCountFrequency (%)
2.98 1
3.3%
2.21 1
3.3%
1.52 1
3.3%
0.96 1
3.3%
0.87 1
3.3%
0.85 1
3.3%
0.73 1
3.3%
0.69 1
3.3%
0.66 1
3.3%
0.64 1
3.3%

index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.857333
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:09.308622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.541
Q15.3675
median11.535
Q351.96
95-th percentile99.361
Maximum100
Range100
Interquartile range (IQR)46.5925

Descriptive statistics

Standard deviation32.229569
Coefficient of variation (CV)1.1168589
Kurtosis0.14435436
Mean28.857333
Median Absolute Deviation (MAD)9.91
Skewness1.2027464
Sum865.72
Variance1038.7451
MonotonicityNot monotonic
2024-04-17T03:58:09.432620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100.0 2
 
6.7%
62.15 1
 
3.3%
10.54 1
 
3.3%
9.65 1
 
3.3%
1.97 1
 
3.3%
11.52 1
 
3.3%
8.54 1
 
3.3%
71.36 1
 
3.3%
4.99 1
 
3.3%
23.21 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.0 1
3.3%
1.19 1
3.3%
1.97 1
3.3%
2.7 1
3.3%
2.97 1
3.3%
3.74 1
3.3%
4.82 1
3.3%
4.99 1
3.3%
6.5 1
3.3%
7.95 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
98.58 1
3.3%
71.36 1
3.3%
67.26 1
3.3%
63.08 1
3.3%
62.15 1
3.3%
57.84 1
3.3%
34.32 1
3.3%
27.32 1
3.3%
23.21 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%
Mean14.831
Minimum0
Maximum88.64
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:09.550344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9875
Q12.6025
median5.93
Q324.0375
95-th percentile45.151
Maximum88.64
Range88.64
Interquartile range (IQR)21.435

Descriptive statistics

Standard deviation19.379394
Coefficient of variation (CV)1.3066815
Kurtosis6.4855466
Mean14.831
Median Absolute Deviation (MAD)3.82
Skewness2.3257913
Sum444.93
Variance375.56091
MonotonicityNot monotonic
2024-04-17T03:58:09.663027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5.76 1
 
3.3%
4.09 1
 
3.3%
24.96 1
 
3.3%
0.0 1
 
3.3%
2.07 1
 
3.3%
27.55 1
 
3.3%
35.57 1
 
3.3%
10.87 1
 
3.3%
1.92 1
 
3.3%
6.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
1.92 1
3.3%
2.07 1
3.3%
2.08 1
3.3%
2.14 1
3.3%
2.15 1
3.3%
2.47 1
3.3%
2.53 1
3.3%
2.82 1
3.3%
3.25 1
3.3%
ValueCountFrequency (%)
88.64 1
3.3%
52.99 1
3.3%
35.57 1
3.3%
35.4 1
3.3%
33.28 1
3.3%
27.55 1
3.3%
24.96 1
3.3%
24.76 1
3.3%
21.87 1
3.3%
15.27 1
3.3%

index_견인요소A(TRACTION_A)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.471
Minimum0.07
Maximum5.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:09.773265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.1195
Q10.3375
median0.51
Q31.54
95-th percentile4.9215
Maximum5.52
Range5.45
Interquartile range (IQR)1.2025

Descriptive statistics

Standard deviation1.7725947
Coefficient of variation (CV)1.205027
Kurtosis0.1397667
Mean1.471
Median Absolute Deviation (MAD)0.33
Skewness1.3248553
Sum44.13
Variance3.1420921
MonotonicityNot monotonic
2024-04-17T03:58:09.889485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.36 2
 
6.7%
0.07 2
 
6.7%
0.51 2
 
6.7%
0.21 2
 
6.7%
1.54 2
 
6.7%
4.33 1
 
3.3%
0.32 1
 
3.3%
2.84 1
 
3.3%
0.33 1
 
3.3%
0.92 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.07 2
6.7%
0.18 1
3.3%
0.21 2
6.7%
0.23 1
3.3%
0.32 1
3.3%
0.33 1
3.3%
0.36 2
6.7%
0.37 1
3.3%
0.43 1
3.3%
0.48 1
3.3%
ValueCountFrequency (%)
5.52 1
3.3%
5.07 1
3.3%
4.74 1
3.3%
4.48 1
3.3%
4.41 1
3.3%
4.33 1
3.3%
2.84 1
3.3%
1.54 2
6.7%
1.29 1
3.3%
0.92 1
3.3%

index_견인요소B(TRACTION_B)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75933333
Minimum0.02
Maximum5.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:10.035898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.0935
Q10.215
median0.375
Q30.6875
95-th percentile2.564
Maximum5.15
Range5.13
Interquartile range (IQR)0.4725

Descriptive statistics

Standard deviation1.0692212
Coefficient of variation (CV)1.4081052
Kurtosis9.5406809
Mean0.75933333
Median Absolute Deviation (MAD)0.24
Skewness2.88281
Sum22.78
Variance1.143234
MonotonicityNot monotonic
2024-04-17T03:58:10.159984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.23 3
 
10.0%
0.13 2
 
6.7%
0.41 1
 
3.3%
1.93 1
 
3.3%
5.15 1
 
3.3%
0.19 1
 
3.3%
0.21 1
 
3.3%
0.75 1
 
3.3%
0.14 1
 
3.3%
0.02 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.02 1
 
3.3%
0.08 1
 
3.3%
0.11 1
 
3.3%
0.13 2
6.7%
0.14 1
 
3.3%
0.19 1
 
3.3%
0.21 1
 
3.3%
0.23 3
10.0%
0.26 1
 
3.3%
0.28 1
 
3.3%
ValueCountFrequency (%)
5.15 1
3.3%
2.6 1
3.3%
2.52 1
3.3%
1.93 1
3.3%
1.54 1
3.3%
0.97 1
3.3%
0.75 1
3.3%
0.69 1
3.3%
0.68 1
3.3%
0.67 1
3.3%

index_견인요소C(TRACTION_C)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.838
Minimum0.09
Maximum4.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:10.289861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.09
Q10.2325
median0.445
Q31.005
95-th percentile3.0005
Maximum4.25
Range4.16
Interquartile range (IQR)0.7725

Descriptive statistics

Standard deviation0.98421122
Coefficient of variation (CV)1.1744764
Kurtosis4.9043831
Mean0.838
Median Absolute Deviation (MAD)0.33
Skewness2.1925257
Sum25.14
Variance0.96867172
MonotonicityNot monotonic
2024-04-17T03:58:10.394815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.09 3
 
10.0%
0.24 2
 
6.7%
0.13 1
 
3.3%
1.19 1
 
3.3%
3.14 1
 
3.3%
0.15 1
 
3.3%
0.64 1
 
3.3%
0.92 1
 
3.3%
4.25 1
 
3.3%
0.74 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.09 3
10.0%
0.1 1
 
3.3%
0.13 1
 
3.3%
0.15 1
 
3.3%
0.22 1
 
3.3%
0.23 1
 
3.3%
0.24 2
6.7%
0.27 1
 
3.3%
0.29 1
 
3.3%
0.39 1
 
3.3%
ValueCountFrequency (%)
4.25 1
3.3%
3.14 1
3.3%
2.83 1
3.3%
1.54 1
3.3%
1.42 1
3.3%
1.19 1
3.3%
1.16 1
3.3%
1.01 1
3.3%
0.99 1
3.3%
0.92 1
3.3%

index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.878667
Minimum0
Maximum100
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:10.516051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.67
median39.665
Q354.2075
95-th percentile93.5695
Maximum100
Range100
Interquartile range (IQR)33.5375

Descriptive statistics

Standard deviation28.25108
Coefficient of variation (CV)0.69109593
Kurtosis-0.28577163
Mean40.878667
Median Absolute Deviation (MAD)17.965
Skewness0.47886248
Sum1226.36
Variance798.12352
MonotonicityNot monotonic
2024-04-17T03:58:10.639030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 3
 
10.0%
100.0 2
 
6.7%
54.84 1
 
3.3%
39.33 1
 
3.3%
84.27 1
 
3.3%
52.31 1
 
3.3%
19.64 1
 
3.3%
42.61 1
 
3.3%
31.58 1
 
3.3%
40.0 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 3
10.0%
5.36 1
 
3.3%
9.47 1
 
3.3%
11.5 1
 
3.3%
13.94 1
 
3.3%
19.64 1
 
3.3%
23.76 1
 
3.3%
28.83 1
 
3.3%
31.4 1
 
3.3%
31.58 1
 
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
85.71 1
3.3%
84.27 1
3.3%
70.68 1
3.3%
62.2 1
3.3%
62.07 1
3.3%
54.84 1
3.3%
52.31 1
3.3%
50.0 1
3.3%
48.18 1
3.3%

index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.6
Minimum0
Maximum71.09
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:10.763793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.94
median30.65
Q337.2625
95-th percentile62.068
Maximum71.09
Range71.09
Interquartile range (IQR)12.3225

Descriptive statistics

Standard deviation17.591507
Coefficient of variation (CV)0.55669326
Kurtosis0.39516465
Mean31.6
Median Absolute Deviation (MAD)6.185
Skewness0.22151424
Sum948
Variance309.46112
MonotonicityNot monotonic
2024-04-17T03:58:10.876716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 3
 
10.0%
54.0 1
 
3.3%
32.37 1
 
3.3%
24.81 1
 
3.3%
37.91 1
 
3.3%
56.34 1
 
3.3%
37.58 1
 
3.3%
28.32 1
 
3.3%
25.33 1
 
3.3%
30.13 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 3
10.0%
5.56 1
 
3.3%
19.28 1
 
3.3%
24.1 1
 
3.3%
24.12 1
 
3.3%
24.81 1
 
3.3%
25.33 1
 
3.3%
25.35 1
 
3.3%
25.5 1
 
3.3%
27.03 1
 
3.3%
ValueCountFrequency (%)
71.09 1
3.3%
66.1 1
3.3%
57.14 1
3.3%
56.34 1
3.3%
54.0 1
3.3%
45.22 1
3.3%
37.91 1
3.3%
37.58 1
3.3%
36.31 1
3.3%
35.9 1
3.3%

index_견인요소C_minmax(INDEX_TRACTION_C_MINMAX)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.831333
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:11.026672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.2795
Q123.7975
median29.775
Q353.31
95-th percentile94.177
Maximum100
Range100
Interquartile range (IQR)29.5125

Descriptive statistics

Standard deviation27.030567
Coefficient of variation (CV)0.69610194
Kurtosis0.14637381
Mean38.831333
Median Absolute Deviation (MAD)16.285
Skewness0.88043953
Sum1164.94
Variance730.65153
MonotonicityNot monotonic
2024-04-17T03:58:11.166231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.0 2
 
6.7%
27.27 2
 
6.7%
53.33 1
 
3.3%
23.76 1
 
3.3%
30.19 1
 
3.3%
29.36 1
 
3.3%
0.0 1
 
3.3%
23.91 1
 
3.3%
35.21 1
 
3.3%
54.35 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 1
3.3%
4.69 1
3.3%
6.0 1
3.3%
8.59 1
3.3%
14.1 1
3.3%
14.88 1
3.3%
21.74 1
3.3%
23.76 1
3.3%
23.91 1
3.3%
25.35 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
87.06 1
3.3%
78.17 1
3.3%
70.75 1
3.3%
59.84 1
3.3%
54.35 1
3.3%
53.33 1
3.3%
53.25 1
3.3%
48.05 1
3.3%
46.67 1
3.3%

index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.218667
Minimum1.03
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:11.294429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.03
5-th percentile1.3545
Q15.0025
median8.345
Q320.795
95-th percentile95.3425
Maximum100
Range98.97
Interquartile range (IQR)15.7925

Descriptive statistics

Standard deviation28.472058
Coefficient of variation (CV)1.3418401
Kurtosis3.2580901
Mean21.218667
Median Absolute Deviation (MAD)6.05
Skewness2.0437045
Sum636.56
Variance810.65811
MonotonicityNot monotonic
2024-04-17T03:58:11.447320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100.0 2
 
6.7%
4.59 1
 
3.3%
3.89 1
 
3.3%
19.28 1
 
3.3%
7.01 1
 
3.3%
1.03 1
 
3.3%
6.49 1
 
3.3%
6.82 1
 
3.3%
10.78 1
 
3.3%
57.92 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1.03 1
3.3%
1.08 1
3.3%
1.69 1
3.3%
2.63 1
3.3%
2.64 1
3.3%
3.16 1
3.3%
3.89 1
3.3%
4.59 1
3.3%
6.24 1
3.3%
6.49 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
89.65 1
3.3%
57.92 1
3.3%
36.35 1
3.3%
32.43 1
3.3%
30.22 1
3.3%
21.3 1
3.3%
19.28 1
3.3%
16.57 1
3.3%
15.91 1
3.3%

index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.529333
Minimum0.21
Maximum98.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:11.574715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile1.37
Q13.255
median7.41
Q319.1225
95-th percentile89.421
Maximum98.67
Range98.46
Interquartile range (IQR)15.8675

Descriptive statistics

Standard deviation27.866526
Coefficient of variation (CV)1.4269062
Kurtosis3.1280716
Mean19.529333
Median Absolute Deviation (MAD)5.245
Skewness2.0260812
Sum585.88
Variance776.54327
MonotonicityNot monotonic
2024-04-17T03:58:11.691956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16.3 1
 
3.3%
25.18 1
 
3.3%
0.74 1
 
3.3%
4.58 1
 
3.3%
3.0 1
 
3.3%
6.02 1
 
3.3%
0.21 1
 
3.3%
2.14 1
 
3.3%
3.07 1
 
3.3%
3.81 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.21 1
3.3%
0.74 1
3.3%
2.14 1
3.3%
2.19 1
3.3%
2.49 1
3.3%
2.9 1
3.3%
3.0 1
3.3%
3.07 1
3.3%
3.81 1
3.3%
3.96 1
3.3%
ValueCountFrequency (%)
98.67 1
3.3%
96.09 1
3.3%
81.27 1
3.3%
57.75 1
3.3%
46.6 1
3.3%
25.18 1
3.3%
20.68 1
3.3%
19.73 1
3.3%
17.3 1
3.3%
16.3 1
3.3%

index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.461333
Minimum0.12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:11.806914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.5995
Q13.615
median6.27
Q329.06
95-th percentile77.1725
Maximum100
Range99.88
Interquartile range (IQR)25.445

Descriptive statistics

Standard deviation28.668827
Coefficient of variation (CV)1.3358363
Kurtosis0.92548743
Mean21.461333
Median Absolute Deviation (MAD)3.86
Skewness1.4680245
Sum643.84
Variance821.90167
MonotonicityNot monotonic
2024-04-17T03:58:11.923624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6.49 1
 
3.3%
10.04 1
 
3.3%
3.55 1
 
3.3%
3.03 1
 
3.3%
62.83 1
 
3.3%
79.58 1
 
3.3%
57.36 1
 
3.3%
2.32 1
 
3.3%
9.88 1
 
3.3%
23.48 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.12 1
3.3%
0.55 1
3.3%
0.66 1
3.3%
0.98 1
3.3%
2.32 1
3.3%
2.54 1
3.3%
3.03 1
3.3%
3.55 1
3.3%
3.81 1
3.3%
4.01 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
79.58 1
3.3%
74.23 1
3.3%
65.94 1
3.3%
62.83 1
3.3%
57.36 1
3.3%
42.76 1
3.3%
30.92 1
3.3%
23.48 1
3.3%
18.48 1
3.3%

견인요소A_매력도(ATTRACTION_A)
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.015333333
Minimum-0.19
Maximum0.48
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)63.3%
Memory size402.0 B
2024-04-17T03:58:12.374270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.19
5-th percentile-0.1375
Q1-0.06
median-0.01
Q30.0425
95-th percentile0.241
Maximum0.48
Range0.67
Interquartile range (IQR)0.1025

Descriptive statistics

Standard deviation0.13533441
Coefficient of variation (CV)8.8261571
Kurtosis3.8821931
Mean0.015333333
Median Absolute Deviation (MAD)0.055
Skewness1.6689323
Sum0.46
Variance0.018315402
MonotonicityNot monotonic
2024-04-17T03:58:12.491345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.01 6
20.0%
0.02 3
 
10.0%
0.1 2
 
6.7%
-0.07 2
 
6.7%
-0.04 2
 
6.7%
-0.06 2
 
6.7%
-0.02 1
 
3.3%
-0.08 1
 
3.3%
0.25 1
 
3.3%
-0.05 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
-0.19 1
3.3%
-0.16 1
3.3%
-0.11 1
3.3%
-0.1 1
3.3%
-0.08 1
3.3%
-0.07 2
6.7%
-0.06 2
6.7%
-0.05 1
3.3%
-0.04 2
6.7%
-0.02 1
3.3%
ValueCountFrequency (%)
0.48 1
 
3.3%
0.25 1
 
3.3%
0.23 1
 
3.3%
0.22 1
 
3.3%
0.1 2
 
6.7%
0.08 1
 
3.3%
0.05 1
 
3.3%
0.02 3
10.0%
-0.01 6
20.0%
-0.02 1
 
3.3%

견인요소B_매력도(ATTRACTION_B)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.070666667
Minimum-0.75
Maximum0.68
Zeros1
Zeros (%)3.3%
Negative23
Negative (%)76.7%
Memory size402.0 B
2024-04-17T03:58:12.605058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.75
5-th percentile-0.374
Q1-0.1775
median-0.07
Q3-0.01
95-th percentile0.4085
Maximum0.68
Range1.43
Interquartile range (IQR)0.1675

Descriptive statistics

Standard deviation0.25674264
Coefficient of variation (CV)-3.6331505
Kurtosis3.4734792
Mean-0.070666667
Median Absolute Deviation (MAD)0.07
Skewness0.60757342
Sum-2.12
Variance0.065916782
MonotonicityNot monotonic
2024-04-17T03:58:12.721644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.04 2
 
6.7%
-0.07 2
 
6.7%
-0.05 2
 
6.7%
-0.01 2
 
6.7%
-0.08 2
 
6.7%
-0.1 1
 
3.3%
-0.41 1
 
3.3%
0.53 1
 
3.3%
-0.02 1
 
3.3%
-0.33 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
-0.75 1
3.3%
-0.41 1
3.3%
-0.33 1
3.3%
-0.31 1
3.3%
-0.27 1
3.3%
-0.25 1
3.3%
-0.22 1
3.3%
-0.19 1
3.3%
-0.14 1
3.3%
-0.13 1
3.3%
ValueCountFrequency (%)
0.68 1
3.3%
0.53 1
3.3%
0.26 1
3.3%
0.05 1
3.3%
0.04 2
6.7%
0.0 1
3.3%
-0.01 2
6.7%
-0.02 1
3.3%
-0.03 1
3.3%
-0.04 1
3.3%

견인요소C_매력도(ATTRACTION_C)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.033
Minimum-1.69
Maximum0.95
Zeros1
Zeros (%)3.3%
Negative19
Negative (%)63.3%
Memory size402.0 B
2024-04-17T03:58:12.854213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.69
5-th percentile-0.2165
Q1-0.115
median-0.035
Q30.0375
95-th percentile0.4765
Maximum0.95
Range2.64
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation0.39579819
Coefficient of variation (CV)-11.993885
Kurtosis11.611077
Mean-0.033
Median Absolute Deviation (MAD)0.075
Skewness-1.9668467
Sum-0.99
Variance0.15665621
MonotonicityNot monotonic
2024-04-17T03:58:12.981410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-0.02 2
 
6.7%
-0.08 2
 
6.7%
-0.18 2
 
6.7%
0.04 2
 
6.7%
-0.01 1
 
3.3%
-0.1 1
 
3.3%
0.03 1
 
3.3%
0.35 1
 
3.3%
0.58 1
 
3.3%
0.95 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
-1.69 1
3.3%
-0.23 1
3.3%
-0.2 1
3.3%
-0.18 2
6.7%
-0.16 1
3.3%
-0.13 1
3.3%
-0.12 1
3.3%
-0.1 1
3.3%
-0.09 1
3.3%
-0.08 2
6.7%
ValueCountFrequency (%)
0.95 1
3.3%
0.58 1
3.3%
0.35 1
3.3%
0.27 1
3.3%
0.14 1
3.3%
0.07 1
3.3%
0.04 2
6.7%
0.03 1
3.3%
0.02 1
3.3%
0.0 1
3.3%

견인요소A_매력도_minmax(ATTRACTION_A_MINMAX)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.716667
Minimum0
Maximum100
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:13.117926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.635
median6.3
Q312.29
95-th percentile82.486
Maximum100
Range100
Interquartile range (IQR)9.655

Descriptive statistics

Standard deviation26.455898
Coefficient of variation (CV)1.6833021
Kurtosis5.8836795
Mean15.716667
Median Absolute Deviation (MAD)4.535
Skewness2.548417
Sum471.5
Variance699.91455
MonotonicityNot monotonic
2024-04-17T03:58:13.239812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 3
 
10.0%
100.0 2
 
6.7%
6.09 1
 
3.3%
9.07 1
 
3.3%
10.76 1
 
3.3%
45.39 1
 
3.3%
61.08 1
 
3.3%
3.64 1
 
3.3%
0.6 1
 
3.3%
12.8 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 3
10.0%
0.42 1
 
3.3%
0.6 1
 
3.3%
0.98 1
 
3.3%
1.69 1
 
3.3%
2.55 1
 
3.3%
2.89 1
 
3.3%
3.52 1
 
3.3%
3.64 1
 
3.3%
4.23 1
 
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
61.08 1
3.3%
45.39 1
3.3%
23.9 1
3.3%
17.78 1
3.3%
13.69 1
3.3%
12.8 1
3.3%
10.76 1
3.3%
9.17 1
3.3%
9.07 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%
Mean25.612667
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:13.362390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4555
Q12.9325
median11.57
Q340.75
95-th percentile93.979
Maximum100
Range100
Interquartile range (IQR)37.8175

Descriptive statistics

Standard deviation30.853952
Coefficient of variation (CV)1.2046365
Kurtosis0.70553104
Mean25.612667
Median Absolute Deviation (MAD)9.785
Skewness1.348559
Sum768.38
Variance951.96638
MonotonicityNot monotonic
2024-04-17T03:58:13.525608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100.0 2
 
6.7%
17.68 1
 
3.3%
0.19 1
 
3.3%
63.23 1
 
3.3%
25.56 1
 
3.3%
5.19 1
 
3.3%
2.44 1
 
3.3%
11.82 1
 
3.3%
1.94 1
 
3.3%
1.63 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.0 1
3.3%
0.19 1
3.3%
0.78 1
3.3%
1.63 1
3.3%
1.94 1
3.3%
1.95 1
3.3%
2.44 1
3.3%
2.86 1
3.3%
3.15 1
3.3%
5.19 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
86.62 1
3.3%
71.96 1
3.3%
63.23 1
3.3%
51.18 1
3.3%
49.53 1
3.3%
44.21 1
3.3%
30.37 1
3.3%
25.56 1
3.3%
25.54 1
3.3%

견인요소C_매력도_minmax(ATTRACTION_C_MINMAX)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.020333
Minimum0
Maximum100
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:13.649781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.3175
median5.66
Q317.935
95-th percentile85.1775
Maximum100
Range100
Interquartile range (IQR)15.6175

Descriptive statistics

Standard deviation28.339826
Coefficient of variation (CV)1.5726582
Kurtosis3.0031685
Mean18.020333
Median Absolute Deviation (MAD)4.795
Skewness2.0261157
Sum540.61
Variance803.14572
MonotonicityNot monotonic
2024-04-17T03:58:13.768968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
13.3%
4.09 1
 
3.3%
11.06 1
 
3.3%
18.72 1
 
3.3%
30.63 1
 
3.3%
8.74 1
 
3.3%
100.0 1
 
3.3%
6.68 1
 
3.3%
30.94 1
 
3.3%
1.87 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 4
13.3%
0.82 1
 
3.3%
1.2 1
 
3.3%
1.87 1
 
3.3%
2.25 1
 
3.3%
2.52 1
 
3.3%
2.7 1
 
3.3%
2.72 1
 
3.3%
3.51 1
 
3.3%
4.09 1
 
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
91.95 1
3.3%
76.9 1
3.3%
71.55 1
3.3%
30.94 1
3.3%
30.63 1
3.3%
22.37 1
3.3%
18.72 1
3.3%
15.58 1
3.3%
11.06 1
3.3%

견인요소A_매력도_minmax_이동평균(MA_ATTRACTION_A_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.253333
Minimum22.4
Maximum98.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:13.901458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.4
5-th percentile27.9295
Q135.445
median43.16
Q346.495
95-th percentile82.6735
Maximum98.72
Range76.32
Interquartile range (IQR)11.05

Descriptive statistics

Standard deviation16.897065
Coefficient of variation (CV)0.37338829
Kurtosis4.2836515
Mean45.253333
Median Absolute Deviation (MAD)6.57
Skewness1.9169595
Sum1357.6
Variance285.5108
MonotonicityNot monotonic
2024-04-17T03:58:14.038089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
45.74 1
 
3.3%
26.53 1
 
3.3%
52.09 1
 
3.3%
33.61 1
 
3.3%
93.64 1
 
3.3%
60.64 1
 
3.3%
40.17 1
 
3.3%
22.4 1
 
3.3%
30.22 1
 
3.3%
42.19 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
22.4 1
3.3%
26.53 1
3.3%
29.64 1
3.3%
30.22 1
3.3%
31.76 1
3.3%
33.61 1
3.3%
34.28 1
3.3%
35.07 1
3.3%
36.57 1
3.3%
36.61 1
3.3%
ValueCountFrequency (%)
98.72 1
3.3%
93.64 1
3.3%
69.27 1
3.3%
60.64 1
3.3%
52.29 1
3.3%
52.09 1
3.3%
49.1 1
3.3%
46.65 1
3.3%
46.03 1
3.3%
45.74 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%
Mean37.545333
Minimum3.45
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:14.196562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.45
5-th percentile20.8055
Q127.2
median31.255
Q347.3425
95-th percentile63.517
Maximum100
Range96.55
Interquartile range (IQR)20.1425

Descriptive statistics

Standard deviation18.419065
Coefficient of variation (CV)0.49058202
Kurtosis3.4269144
Mean37.545333
Median Absolute Deviation (MAD)7.425
Skewness1.420811
Sum1126.36
Variance339.26197
MonotonicityNot monotonic
2024-04-17T03:58:14.316142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
36.86 1
 
3.3%
3.45 1
 
3.3%
23.76 1
 
3.3%
47.78 1
 
3.3%
56.98 1
 
3.3%
31.06 1
 
3.3%
27.26 1
 
3.3%
30.18 1
 
3.3%
38.61 1
 
3.3%
31.05 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3.45 1
3.3%
20.18 1
3.3%
21.57 1
3.3%
21.62 1
3.3%
23.64 1
3.3%
23.76 1
3.3%
26.82 1
3.3%
27.18 1
3.3%
27.26 1
3.3%
27.81 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
64.57 1
3.3%
62.23 1
3.3%
60.39 1
3.3%
56.98 1
3.3%
54.54 1
3.3%
48.0 1
3.3%
47.78 1
3.3%
46.03 1
3.3%
38.61 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%
Mean40.914333
Minimum9.52
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:14.467203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.52
5-th percentile18.4575
Q129.6625
median37.295
Q346.435
95-th percentile80.8765
Maximum100
Range90.48
Interquartile range (IQR)16.7725

Descriptive statistics

Standard deviation20.07236
Coefficient of variation (CV)0.49059481
Kurtosis3.0007132
Mean40.914333
Median Absolute Deviation (MAD)7.995
Skewness1.4873489
Sum1227.43
Variance402.89963
MonotonicityNot monotonic
2024-04-17T03:58:14.589947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
41.83 1
 
3.3%
38.22 1
 
3.3%
25.86 1
 
3.3%
61.39 1
 
3.3%
17.49 1
 
3.3%
34.65 1
 
3.3%
20.47 1
 
3.3%
30.51 1
 
3.3%
41.63 1
 
3.3%
34.82 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
9.52 1
3.3%
17.49 1
3.3%
19.64 1
3.3%
20.47 1
3.3%
21.95 1
3.3%
25.86 1
3.3%
29.22 1
3.3%
29.38 1
3.3%
30.51 1
3.3%
31.6 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
96.82 1
3.3%
61.39 1
3.3%
58.2 1
3.3%
56.56 1
3.3%
55.36 1
3.3%
54.1 1
3.3%
47.23 1
3.3%
44.05 1
3.3%
42.24 1
3.3%

매력도_평균(AVG_ATTRACTION)
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.036666667
Minimum-0.22
Maximum0.79
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)60.0%
Memory size402.0 B
2024-04-17T03:58:14.699472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.22
5-th percentile-0.161
Q1-0.065
median-0.02
Q30.04
95-th percentile0.527
Maximum0.79
Range1.01
Interquartile range (IQR)0.105

Descriptive statistics

Standard deviation0.21633839
Coefficient of variation (CV)5.9001379
Kurtosis6.5540544
Mean0.036666667
Median Absolute Deviation (MAD)0.055
Skewness2.4842283
Sum1.1
Variance0.046802299
MonotonicityNot monotonic
2024-04-17T03:58:14.814950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-0.02 5
16.7%
-0.05 2
 
6.7%
0.01 2
 
6.7%
-0.03 2
 
6.7%
-0.08 2
 
6.7%
0.04 2
 
6.7%
-0.07 2
 
6.7%
0.05 1
 
3.3%
0.03 1
 
3.3%
-0.22 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
-0.22 1
 
3.3%
-0.17 1
 
3.3%
-0.15 1
 
3.3%
-0.1 1
 
3.3%
-0.08 2
 
6.7%
-0.07 2
 
6.7%
-0.05 2
 
6.7%
-0.04 1
 
3.3%
-0.03 2
 
6.7%
-0.02 5
16.7%
ValueCountFrequency (%)
0.79 1
3.3%
0.68 1
3.3%
0.34 1
3.3%
0.17 1
3.3%
0.11 1
3.3%
0.07 1
3.3%
0.05 1
3.3%
0.04 2
6.7%
0.03 1
3.3%
0.01 2
6.7%

매력도_평균_minmax(AVG_ATTRACTION_MINMAX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.242
Minimum13.71
Maximum65.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:14.938790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.71
5-th percentile19.652
Q127.685
median34.77
Q342.0725
95-th percentile53.689
Maximum65.53
Range51.82
Interquartile range (IQR)14.3875

Descriptive statistics

Standard deviation11.811975
Coefficient of variation (CV)0.33516756
Kurtosis0.21045561
Mean35.242
Median Absolute Deviation (MAD)7.585
Skewness0.51223359
Sum1057.26
Variance139.52275
MonotonicityNot monotonic
2024-04-17T03:58:15.059551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35.68 1
 
3.3%
37.72 1
 
3.3%
55.93 1
 
3.3%
39.77 1
 
3.3%
50.0 1
 
3.3%
39.28 1
 
3.3%
38.39 1
 
3.3%
34.99 1
 
3.3%
29.29 1
 
3.3%
49.56 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
13.71 1
3.3%
18.05 1
3.3%
21.61 1
3.3%
21.78 1
3.3%
23.12 1
3.3%
23.32 1
3.3%
24.97 1
3.3%
27.67 1
3.3%
27.73 1
3.3%
29.06 1
3.3%
ValueCountFrequency (%)
65.53 1
3.3%
55.93 1
3.3%
50.95 1
3.3%
50.0 1
3.3%
49.56 1
3.3%
45.63 1
3.3%
43.32 1
3.3%
42.84 1
3.3%
39.77 1
3.3%
39.28 1
3.3%

매력도_평균_minmax_이동평균(MA_AVG_ATTRACTION_MINMAX)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.860667
Minimum29.28
Maximum87.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:15.182410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.28
5-th percentile29.6785
Q133.3025
median35.825
Q346.9125
95-th percentile65.0575
Maximum87.74
Range58.46
Interquartile range (IQR)13.61

Descriptive statistics

Standard deviation13.836183
Coefficient of variation (CV)0.33052945
Kurtosis2.95633
Mean41.860667
Median Absolute Deviation (MAD)5.67
Skewness1.6705303
Sum1255.82
Variance191.43997
MonotonicityNot monotonic
2024-04-17T03:58:15.301372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
39.61 2
 
6.7%
33.61 1
 
3.3%
62.06 1
 
3.3%
45.93 1
 
3.3%
40.83 1
 
3.3%
35.13 1
 
3.3%
36.52 1
 
3.3%
47.24 1
 
3.3%
87.74 1
 
3.3%
48.07 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
29.28 1
3.3%
29.53 1
3.3%
29.86 1
3.3%
30.05 1
3.3%
30.15 1
3.3%
30.16 1
3.3%
31.32 1
3.3%
33.25 1
3.3%
33.46 1
3.3%
33.61 1
3.3%
ValueCountFrequency (%)
87.74 1
3.3%
67.51 1
3.3%
62.06 1
3.3%
61.85 1
3.3%
57.22 1
3.3%
53.7 1
3.3%
48.07 1
3.3%
47.24 1
3.3%
45.93 1
3.3%
44.88 1
3.3%

최종지표(INDEX)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.571
Minimum0.1
Maximum2.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:15.438053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1145
Q10.19
median0.255
Q30.5275
95-th percentile1.771
Maximum2.53
Range2.43
Interquartile range (IQR)0.3375

Descriptive statistics

Standard deviation0.65162053
Coefficient of variation (CV)1.1411918
Kurtosis2.0284643
Mean0.571
Median Absolute Deviation (MAD)0.11
Skewness1.7473113
Sum17.13
Variance0.42460931
MonotonicityNot monotonic
2024-04-17T03:58:15.594744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.24 3
 
10.0%
0.23 2
 
6.7%
0.15 2
 
6.7%
0.27 2
 
6.7%
1.7 1
 
3.3%
1.02 1
 
3.3%
1.78 1
 
3.3%
0.54 1
 
3.3%
0.18 1
 
3.3%
0.11 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.1 1
 
3.3%
0.11 1
 
3.3%
0.12 1
 
3.3%
0.14 1
 
3.3%
0.15 2
6.7%
0.17 1
 
3.3%
0.18 1
 
3.3%
0.22 1
 
3.3%
0.23 2
6.7%
0.24 3
10.0%
ValueCountFrequency (%)
2.53 1
3.3%
1.78 1
3.3%
1.76 1
3.3%
1.74 1
3.3%
1.7 1
3.3%
1.02 1
3.3%
0.84 1
3.3%
0.54 1
3.3%
0.49 1
3.3%
0.47 1
3.3%

최종지표_이동편균(MA_INDEX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.724
Minimum0.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:15.717368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2935
Q14.3225
median10.845
Q329.0875
95-th percentile97.9815
Maximum100
Range99.9
Interquartile range (IQR)24.765

Descriptive statistics

Standard deviation31.054203
Coefficient of variation (CV)1.2560348
Kurtosis1.3941414
Mean24.724
Median Absolute Deviation (MAD)9.985
Skewness1.6015205
Sum741.72
Variance964.36355
MonotonicityNot monotonic
2024-04-17T03:58:15.844830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7.14 1
 
3.3%
21.97 1
 
3.3%
26.18 1
 
3.3%
72.34 1
 
3.3%
0.42 1
 
3.3%
99.21 1
 
3.3%
29.92 1
 
3.3%
0.1 1
 
3.3%
0.19 1
 
3.3%
6.78 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.1 1
3.3%
0.19 1
3.3%
0.42 1
3.3%
1.3 1
3.3%
3.12 1
3.3%
3.76 1
3.3%
3.85 1
3.3%
4.24 1
3.3%
4.57 1
3.3%
4.77 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
99.21 1
3.3%
96.48 1
3.3%
74.46 1
3.3%
72.34 1
3.3%
29.92 1
3.3%
29.62 1
3.3%
29.26 1
3.3%
28.57 1
3.3%
26.18 1
3.3%

객단가(UNIT_PRICE)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25664
Minimum18006
Maximum37070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:58:15.962168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18006
5-th percentile18859.7
Q122091.5
median24754
Q328167
95-th percentile36302.4
Maximum37070
Range19064
Interquartile range (IQR)6075.5

Descriptive statistics

Standard deviation5094.86
Coefficient of variation (CV)0.19852166
Kurtosis0.11581763
Mean25664
Median Absolute Deviation (MAD)3353.5
Skewness0.73543675
Sum769920
Variance25957598
MonotonicityNot monotonic
2024-04-17T03:58:16.083289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28981 1
 
3.3%
23407 1
 
3.3%
22423 1
 
3.3%
18641 1
 
3.3%
21620 1
 
3.3%
24331 1
 
3.3%
37070 1
 
3.3%
19127 1
 
3.3%
36477 1
 
3.3%
31113 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
18006 1
3.3%
18641 1
3.3%
19127 1
3.3%
20285 1
3.3%
20616 1
3.3%
20761 1
3.3%
21620 1
3.3%
21981 1
3.3%
22423 1
3.3%
22832 1
3.3%
ValueCountFrequency (%)
37070 1
3.3%
36477 1
3.3%
36089 1
3.3%
31113 1
3.3%
30625 1
3.3%
29698 1
3.3%
28981 1
3.3%
28170 1
3.3%
28158 1
3.3%
28057 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 5월 1주81금천구1.650.084.60.6662.155.764.330.410.2454.8454.053.334.5916.36.49-0.020.04-0.026.0917.684.0945.7436.8641.83-0.0535.6833.610.237.1428981
12018년 6월 4주139은평구2.654.010.550.24.8215.271.540.682.83100.00.034.2914.733.960.98-0.04-0.08-1.696.516.140.8249.127.1819.64-0.0823.3233.460.413.7629698
22017년 8월 1주5동대문구0.59100.04.210.146.52.150.181.540.2228.8324.14.691.0817.30.660.1-0.130.040.016.894.4745.3962.2338.470.1734.5561.850.145.7225177
32019년 3월 4주127종로구0.330.3229.190.8723.12.144.482.520.399.4719.2833.6812.697.334.01-0.040.0-0.017.666.191.9543.7560.3932.950.1127.6739.611.71.328170
42018년 4월 4주11노원구0.3722.4634.170.49100.08.325.070.440.9923.7636.3114.8832.437.494.14-0.070.050.024.236.843.5140.3564.5742.24-0.0745.6367.510.1519.9922832
52017년 5월 4주110중구1.615.9614.450.0721.795.665.520.280.2348.1825.525.3521.39.942.76-0.11-0.04-0.1317.780.7876.998.7230.3996.82-0.0534.4629.531.0221.3428057
62018년 7월 1주47마포구1.227.1421.892.9863.0852.990.360.080.0946.0227.93100.02.647.585.420.22-0.03-0.080.4211.320.036.6154.5447.230.0135.6539.610.196.4821981
72017년 4월 3주116강서구1.410.1121.162.2167.263.470.882.60.630.024.1246.676.2419.7330.920.080.04-0.0913.692.8610.4131.7631.4531.6-0.0227.7330.050.844.2425507
82017년 11월 2주15강남구0.824.2323.240.357.842.820.490.260.2737.9133.338.597.9346.618.48-0.01-0.08-0.122.8986.622.2546.6521.5736.370.0523.1231.320.1528.5718006
92019년 11월 1주125도봉구2.6982.2912.70.26100.021.874.410.670.2970.6835.978.178.7696.095.72-0.070.26-0.234.420.01.246.0333.6658.20.0329.0630.160.1729.6224093
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)
202017년 10월 5주22동작구0.737.5285.360.4934.3233.280.370.380.4450.027.0348.051.6981.270.55-0.01-0.310.27100.07.5615.5869.2728.5242.16-0.165.5334.810.2474.4625483
212017년 3월 4주117용산구2.94.9111.340.3211.552.471.290.020.4231.466.126.7389.652.496.48-0.01-0.22-0.25.9230.3771.5542.7846.0329.22-0.0733.2834.040.497.5326712
222018년 7월 5주34광진구2.825.5614.261.5216.226.10.070.140.7462.271.0954.3557.923.8123.48-0.06-0.33-0.040.071.961.8742.1931.0534.820.0749.5640.30.276.7831113
232017년 5월 2주64영등포구0.812.9446.910.1423.211.920.210.134.250.030.1327.27100.03.079.880.02-0.07-0.1812.81.6330.9430.2238.6141.63-0.0229.2948.070.250.1936477
242017년 2월 1주99관악구0.389.961.070.964.9910.870.230.750.9240.025.3335.2110.782.142.320.02-0.07-0.070.01.946.6822.430.1830.51-0.1534.9987.741.740.119127
252018년 2월 3주47광진구0.3743.2893.340.6471.3635.570.430.230.6431.5828.3223.916.820.2157.36-0.1-0.020.950.611.82100.040.1727.2620.47-0.0338.3947.240.1129.9237070
262019년 7월 4주90양천구1.1825.442.990.368.5427.550.920.210.1542.6137.580.06.496.0279.58-0.19-0.050.043.642.448.7460.6431.0634.65-0.0339.2836.520.1899.2124331
272018년 3월 3주16강남구1.445.7921.150.8511.522.070.330.230.0919.6456.3429.361.033.062.83-0.16-0.010.5861.085.190.093.6456.9817.49-0.1750.035.130.540.4221620
282019년 4월 5주151종로구1.6617.5980.540.11.970.02.840.193.1452.3137.91100.07.014.583.03-0.050.530.3545.3925.5630.6333.6147.7861.39-0.0239.7740.831.7872.3418641
292019년 12월 3주31서대문구1.55.5473.140.739.6524.960.075.151.1984.2724.8130.1919.280.743.550.25-0.410.0310.7663.2318.7252.0923.7625.86-0.0255.9345.930.2426.1822423