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_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX) has unique valuesUnique
index_sns버즈량_minmax_이동평균(MA_INDEX_BUZZ_FREQ_MINMAX) has unique valuesUnique
index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX) has unique valuesUnique
index_견인요소B_minmax(INDEX_TRACTION_B_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_건수_minmax_이동평균(MA_INDEX_FREQ_MINMAX) has 2 (6.7%) zerosZeros
index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소A(TRACTION_A) has 8 (26.7%) zerosZeros
index_견인요소B(TRACTION_B) has 13 (43.3%) zerosZeros
index_견인요소C(TRACTION_C) has 10 (33.3%) zerosZeros
index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX) has 1 (3.3%) zerosZeros
index_견인요소A_minmax_이동평균(MA_INDEX_TRACTION_A_MINMAX) has 7 (23.3%) zerosZeros
index_견인요소B_minmax_이동평균(MA_INDEX_TRACTION_B_MINMAX) has 3 (10.0%) zerosZeros
index_견인요소C_minmax_이동평균(MA_INDEX_TRACTION_C_MINMAX) has 8 (26.7%) zerosZeros
견인요소C_매력도(ATTRACTION_C) has 1 (3.3%) zerosZeros
견인요소A_매력도_minmax(ATTRACTION_A_MINMAX) has 15 (50.0%) zerosZeros
견인요소B_매력도_minmax(ATTRACTION_B_MINMAX) has 12 (40.0%) zerosZeros
견인요소C_매력도_minmax(ATTRACTION_C_MINMAX) has 13 (43.3%) zerosZeros
매력도_평균(AVG_ATTRACTION) has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-16 18:57:32.673296
Analysis finished2024-04-16 18:57:32.964932
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:57:33.055067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.4
Min length11

Characters and Unicode

Total characters342
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

Unique20 ?
Unique (%)66.7%

Sample

1st row2019년 11월 2주
2nd row2019년 9월 1주
3rd row2019년 9월 2주
4th row2017년 11월 4주
5th row2017년 1월 1주
ValueCountFrequency (%)
2019년 14
15.6%
2주 11
12.2%
2018년 9
10.0%
2017년 7
7.8%
11월 7
7.8%
1주 7
7.8%
3주 6
 
6.7%
4주 6
 
6.7%
9월 4
 
4.4%
12월 3
 
3.3%
Other values (9) 16
17.8%
2024-04-17T03:57:33.340610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
17.5%
1 58
17.0%
2 47
13.7%
0 32
9.4%
30
8.8%
30
8.8%
30
8.8%
9 18
 
5.3%
8 11
 
3.2%
7 9
 
2.6%
Other values (4) 17
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
56.1%
Other Letter 90
26.3%
Space Separator 60
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 58
30.2%
2 47
24.5%
0 32
16.7%
9 18
 
9.4%
8 11
 
5.7%
7 9
 
4.7%
4 8
 
4.2%
3 7
 
3.6%
6 1
 
0.5%
5 1
 
0.5%
Other Letter
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
73.7%
Hangul 90
 
26.3%

Most frequent character per script

Common
ValueCountFrequency (%)
60
23.8%
1 58
23.0%
2 47
18.7%
0 32
12.7%
9 18
 
7.1%
8 11
 
4.4%
7 9
 
3.6%
4 8
 
3.2%
3 7
 
2.8%
6 1
 
0.4%
Hangul
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
73.7%
Hangul 90
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
23.8%
1 58
23.0%
2 47
18.7%
0 32
12.7%
9 18
 
7.1%
8 11
 
4.4%
7 9
 
3.6%
4 8
 
3.2%
3 7
 
2.8%
6 1
 
0.4%
Hangul
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%

주차(WEEK)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.866667
Minimum3
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:33.481555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile18.9
Q129.25
median100.5
Q3127
95-th percentile149.65
Maximum153
Range150
Interquartile range (IQR)97.75

Descriptive statistics

Standard deviation48.883206
Coefficient of variation (CV)0.56929199
Kurtosis-1.4071678
Mean85.866667
Median Absolute Deviation (MAD)38
Skewness-0.28690237
Sum2576
Variance2389.5678
MonotonicityNot monotonic
2024-04-17T03:57:33.605967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
23 3
 
10.0%
129 3
 
10.0%
96 1
 
3.3%
24 1
 
3.3%
80 1
 
3.3%
89 1
 
3.3%
105 1
 
3.3%
153 1
 
3.3%
148 1
 
3.3%
28 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
3 1
 
3.3%
18 1
 
3.3%
20 1
 
3.3%
23 3
10.0%
24 1
 
3.3%
28 1
 
3.3%
33 1
 
3.3%
62 1
 
3.3%
63 1
 
3.3%
74 1
 
3.3%
ValueCountFrequency (%)
153 1
 
3.3%
151 1
 
3.3%
148 1
 
3.3%
147 1
 
3.3%
141 1
 
3.3%
129 3
10.0%
121 1
 
3.3%
118 1
 
3.3%
117 1
 
3.3%
112 1
 
3.3%
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-17T03:57:33.791333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2
Min length2

Characters and Unicode

Total characters96
Distinct characters28
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

Unique10 ?
Unique (%)33.3%

Sample

1st row용산구
2nd row마포구
3rd row영등포구
4th row종로구
5th row중랑구
ValueCountFrequency (%)
강서구 3
 
10.0%
중랑구 3
 
10.0%
영등포구 3
 
10.0%
동작구 3
 
10.0%
동대문구 2
 
6.7%
구로구 2
 
6.7%
성북구 2
 
6.7%
서대문구 2
 
6.7%
강동구 1
 
3.3%
노원구 1
 
3.3%
Other values (8) 8
26.7%
2024-04-17T03:57:34.088593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
33.3%
6
 
6.2%
5
 
5.2%
5
 
5.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
3
 
3.1%
3
 
3.1%
Other values (18) 26
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
33.3%
6
 
6.2%
5
 
5.2%
5
 
5.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
3
 
3.1%
3
 
3.1%
Other values (18) 26
27.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
33.3%
6
 
6.2%
5
 
5.2%
5
 
5.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
3
 
3.1%
3
 
3.1%
Other values (18) 26
27.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
33.3%
6
 
6.2%
5
 
5.2%
5
 
5.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
4
 
4.2%
3
 
3.1%
3
 
3.1%
Other values (18) 26
27.1%

index_건수(USE_FREQ)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0486667
Minimum0.1
Maximum2.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:34.216176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1895
Q10.54
median0.945
Q31.5125
95-th percentile2.053
Maximum2.38
Range2.28
Interquartile range (IQR)0.9725

Descriptive statistics

Standard deviation0.64070938
Coefficient of variation (CV)0.61097525
Kurtosis-0.95489962
Mean1.0486667
Median Absolute Deviation (MAD)0.49
Skewness0.3401987
Sum31.46
Variance0.41050851
MonotonicityNot monotonic
2024-04-17T03:57:34.351125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.64 2
 
6.7%
1.36 1
 
3.3%
1.42 1
 
3.3%
1.13 1
 
3.3%
0.6 1
 
3.3%
2.08 1
 
3.3%
0.25 1
 
3.3%
0.8 1
 
3.3%
0.35 1
 
3.3%
0.14 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.1 1
3.3%
0.14 1
3.3%
0.25 1
3.3%
0.28 1
3.3%
0.35 1
3.3%
0.44 1
3.3%
0.5 1
3.3%
0.52 1
3.3%
0.6 1
3.3%
0.62 1
3.3%
ValueCountFrequency (%)
2.38 1
3.3%
2.08 1
3.3%
2.02 1
3.3%
1.98 1
3.3%
1.77 1
3.3%
1.67 1
3.3%
1.57 1
3.3%
1.53 1
3.3%
1.46 1
3.3%
1.42 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.817
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:34.500909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.429
Q124.065
median38.22
Q354.75
95-th percentile91
Maximum100
Range100
Interquartile range (IQR)30.685

Descriptive statistics

Standard deviation24.190163
Coefficient of variation (CV)0.57847677
Kurtosis0.56842763
Mean41.817
Median Absolute Deviation (MAD)16.08
Skewness0.86698517
Sum1254.51
Variance585.16398
MonotonicityNot monotonic
2024-04-17T03:57:34.620626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17.43 2
 
6.7%
100.0 2
 
6.7%
34.05 1
 
3.3%
28.33 1
 
3.3%
63.16 1
 
3.3%
46.08 1
 
3.3%
0.0 1
 
3.3%
68.37 1
 
3.3%
57.64 1
 
3.3%
27.14 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 1
3.3%
15.61 1
3.3%
17.43 2
6.7%
18.18 1
3.3%
19.74 1
3.3%
21.24 1
3.3%
23.04 1
3.3%
27.14 1
3.3%
27.93 1
3.3%
28.33 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
80.0 1
3.3%
68.37 1
3.3%
67.08 1
3.3%
63.16 1
3.3%
58.26 1
3.3%
57.64 1
3.3%
46.08 1
3.3%
45.37 1
3.3%
45.33 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.789667
Minimum0
Maximum84.74
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:34.743245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.683
Q120.4975
median33.505
Q354.3825
95-th percentile76.334
Maximum84.74
Range84.74
Interquartile range (IQR)33.885

Descriptive statistics

Standard deviation24.060529
Coefficient of variation (CV)0.67227587
Kurtosis-0.66783226
Mean35.789667
Median Absolute Deviation (MAD)17.055
Skewness0.30611189
Sum1073.69
Variance578.90907
MonotonicityNot monotonic
2024-04-17T03:57:34.878042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 2
 
6.7%
44.14 1
 
3.3%
39.42 1
 
3.3%
19.66 1
 
3.3%
56.86 1
 
3.3%
25.44 1
 
3.3%
41.01 1
 
3.3%
30.76 1
 
3.3%
46.95 1
 
3.3%
7.11 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.0 2
6.7%
3.74 1
3.3%
4.14 1
3.3%
6.33 1
3.3%
7.11 1
3.3%
13.24 1
3.3%
19.66 1
3.3%
23.01 1
3.3%
24.79 1
3.3%
25.44 1
3.3%
ValueCountFrequency (%)
84.74 1
3.3%
82.49 1
3.3%
68.81 1
3.3%
64.4 1
3.3%
63.27 1
3.3%
63.0 1
3.3%
57.92 1
3.3%
56.86 1
3.3%
46.95 1
3.3%
44.14 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2673333
Minimum0.06
Maximum4.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:35.008989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.08
Q10.2075
median0.42
Q31.6275
95-th percentile4.8375
Maximum4.87
Range4.81
Interquartile range (IQR)1.42

Descriptive statistics

Standard deviation1.5678954
Coefficient of variation (CV)1.237161
Kurtosis1.2841522
Mean1.2673333
Median Absolute Deviation (MAD)0.34
Skewness1.5663303
Sum38.02
Variance2.4582961
MonotonicityNot monotonic
2024-04-17T03:57:35.152775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.08 2
 
6.7%
0.42 2
 
6.7%
0.16 2
 
6.7%
0.15 1
 
3.3%
0.53 1
 
3.3%
1.69 1
 
3.3%
0.35 1
 
3.3%
2.58 1
 
3.3%
4.72 1
 
3.3%
0.34 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.06 1
3.3%
0.08 2
6.7%
0.1 1
3.3%
0.15 1
3.3%
0.16 2
6.7%
0.18 1
3.3%
0.29 1
3.3%
0.31 1
3.3%
0.32 1
3.3%
0.34 1
3.3%
ValueCountFrequency (%)
4.87 1
3.3%
4.86 1
3.3%
4.81 1
3.3%
4.72 1
3.3%
2.58 1
3.3%
2.21 1
3.3%
1.77 1
3.3%
1.69 1
3.3%
1.44 1
3.3%
1.33 1
3.3%

index_sns버즈량_minmax(INDEX_BUZZ_FREQ_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.414333
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:35.270301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.41
Q15.245
median10.16
Q316.135
95-th percentile61.6345
Maximum100
Range100
Interquartile range (IQR)10.89

Descriptive statistics

Standard deviation24.965609
Coefficient of variation (CV)1.2229451
Kurtosis2.4653476
Mean20.414333
Median Absolute Deviation (MAD)5.85
Skewness1.7690507
Sum612.43
Variance623.28165
MonotonicityNot monotonic
2024-04-17T03:57:35.409717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.63 1
 
3.3%
2.18 1
 
3.3%
60.76 1
 
3.3%
60.56 1
 
3.3%
0.0 1
 
3.3%
6.95 1
 
3.3%
12.55 1
 
3.3%
58.71 1
 
3.3%
13.69 1
 
3.3%
100.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
0.78 1
3.3%
2.18 1
3.3%
2.63 1
3.3%
3.16 1
3.3%
3.47 1
3.3%
4.18 1
3.3%
4.73 1
3.3%
6.79 1
3.3%
6.95 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
62.35 1
3.3%
60.76 1
3.3%
60.56 1
3.3%
58.71 1
3.3%
55.41 1
3.3%
27.08 1
3.3%
16.22 1
3.3%
15.88 1
3.3%
14.52 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.601667
Minimum0.21
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:35.536462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile1.6465
Q17.17
median13.595
Q330.2975
95-th percentile63.888
Maximum100
Range99.79
Interquartile range (IQR)23.1275

Descriptive statistics

Standard deviation22.956568
Coefficient of variation (CV)1.0157024
Kurtosis3.364123
Mean22.601667
Median Absolute Deviation (MAD)9.84
Skewness1.7347949
Sum678.05
Variance527.00399
MonotonicityNot monotonic
2024-04-17T03:57:35.663108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1.21 1
 
3.3%
12.27 1
 
3.3%
30.93 1
 
3.3%
38.04 1
 
3.3%
20.07 1
 
3.3%
10.4 1
 
3.3%
2.18 1
 
3.3%
8.7 1
 
3.3%
48.25 1
 
3.3%
23.09 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.21 1
3.3%
1.21 1
3.3%
2.18 1
3.3%
2.48 1
3.3%
3.41 1
3.3%
4.67 1
3.3%
5.56 1
3.3%
6.66 1
3.3%
8.7 1
3.3%
9.05 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
66.84 1
3.3%
60.28 1
3.3%
48.25 1
3.3%
43.07 1
3.3%
41.61 1
3.3%
38.04 1
3.3%
30.93 1
3.3%
28.4 1
3.3%
25.52 1
3.3%

index_견인요소A(TRACTION_A)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.464
Minimum0
Maximum7.39
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:35.773220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08
median0.625
Q32.0375
95-th percentile4.026
Maximum7.39
Range7.39
Interquartile range (IQR)1.9575

Descriptive statistics

Standard deviation1.7251459
Coefficient of variation (CV)1.1783783
Kurtosis3.407262
Mean1.464
Median Absolute Deviation (MAD)0.625
Skewness1.6625983
Sum43.92
Variance2.9761283
MonotonicityNot monotonic
2024-04-17T03:57:35.935611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 8
26.7%
2.04 1
 
3.3%
4.17 1
 
3.3%
3.85 1
 
3.3%
1.96 1
 
3.3%
0.56 1
 
3.3%
2.66 1
 
3.3%
2.03 1
 
3.3%
3.12 1
 
3.3%
0.69 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0.0 8
26.7%
0.32 1
 
3.3%
0.37 1
 
3.3%
0.38 1
 
3.3%
0.43 1
 
3.3%
0.46 1
 
3.3%
0.53 1
 
3.3%
0.56 1
 
3.3%
0.69 1
 
3.3%
1.39 1
 
3.3%
ValueCountFrequency (%)
7.39 1
3.3%
4.17 1
3.3%
3.85 1
3.3%
3.75 1
3.3%
3.12 1
3.3%
3.07 1
3.3%
2.66 1
3.3%
2.04 1
3.3%
2.03 1
3.3%
1.96 1
3.3%

index_견인요소B(TRACTION_B)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0076667
Minimum0
Maximum6.13
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:36.047834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.47
Q31.18
95-th percentile4.4115
Maximum6.13
Range6.13
Interquartile range (IQR)1.18

Descriptive statistics

Standard deviation1.5236881
Coefficient of variation (CV)1.5120954
Kurtosis4.5367319
Mean1.0076667
Median Absolute Deviation (MAD)0.47
Skewness2.1471345
Sum30.23
Variance2.3216254
MonotonicityNot monotonic
2024-04-17T03:57:36.154814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 13
43.3%
1.06 2
 
6.7%
1.22 1
 
3.3%
0.43 1
 
3.3%
6.13 1
 
3.3%
0.41 1
 
3.3%
0.98 1
 
3.3%
0.68 1
 
3.3%
1.84 1
 
3.3%
0.6 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0.0 13
43.3%
0.41 1
 
3.3%
0.43 1
 
3.3%
0.51 1
 
3.3%
0.6 1
 
3.3%
0.68 1
 
3.3%
0.79 1
 
3.3%
0.98 1
 
3.3%
1.06 2
 
6.7%
1.22 1
 
3.3%
ValueCountFrequency (%)
6.13 1
3.3%
4.92 1
3.3%
3.79 1
3.3%
2.31 1
3.3%
1.89 1
3.3%
1.84 1
3.3%
1.61 1
3.3%
1.22 1
3.3%
1.06 2
6.7%
0.98 1
3.3%

index_견인요소C(TRACTION_C)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.116
Minimum0
Maximum4.07
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:36.265119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.475
Q31.9175
95-th percentile3.599
Maximum4.07
Range4.07
Interquartile range (IQR)1.9175

Descriptive statistics

Standard deviation1.327205
Coefficient of variation (CV)1.1892518
Kurtosis-0.40851137
Mean1.116
Median Absolute Deviation (MAD)0.475
Skewness0.99515621
Sum33.48
Variance1.7614731
MonotonicityNot monotonic
2024-04-17T03:57:36.394387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 10
33.3%
3.68 1
 
3.3%
0.45 1
 
3.3%
0.4 1
 
3.3%
3.5 1
 
3.3%
0.17 1
 
3.3%
1.23 1
 
3.3%
0.68 1
 
3.3%
0.26 1
 
3.3%
0.22 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0.0 10
33.3%
0.17 1
 
3.3%
0.22 1
 
3.3%
0.26 1
 
3.3%
0.4 1
 
3.3%
0.45 1
 
3.3%
0.5 1
 
3.3%
0.68 1
 
3.3%
0.88 1
 
3.3%
0.96 1
 
3.3%
ValueCountFrequency (%)
4.07 1
3.3%
3.68 1
3.3%
3.5 1
3.3%
3.25 1
3.3%
3.06 1
3.3%
2.69 1
3.3%
2.38 1
3.3%
2.0 1
3.3%
1.67 1
3.3%
1.43 1
3.3%

index_견인요소A_minmax(INDEX_TRACTION_A_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.719667
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:36.549200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.4375
Q126.1875
median39.055
Q348.28
95-th percentile67.053
Maximum100
Range100
Interquartile range (IQR)22.0925

Descriptive statistics

Standard deviation19.828525
Coefficient of variation (CV)0.51210474
Kurtosis2.0338702
Mean38.719667
Median Absolute Deviation (MAD)10.07
Skewness0.80418131
Sum1161.59
Variance393.1704
MonotonicityNot monotonic
2024-04-17T03:57:36.671935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
22.17 1
 
3.3%
62.2 1
 
3.3%
40.47 1
 
3.3%
14.17 1
 
3.3%
38.02 1
 
3.3%
33.41 1
 
3.3%
0.0 1
 
3.3%
46.0 1
 
3.3%
34.63 1
 
3.3%
48.87 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
11.02 1
3.3%
14.17 1
3.3%
18.28 1
3.3%
18.88 1
3.3%
19.57 1
3.3%
22.17 1
3.3%
25.32 1
3.3%
28.79 1
3.3%
32.05 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
68.88 1
3.3%
64.82 1
3.3%
62.2 1
3.3%
51.93 1
3.3%
51.8 1
3.3%
48.93 1
3.3%
48.87 1
3.3%
46.51 1
3.3%
46.0 1
3.3%

index_견인요소B_minmax(INDEX_TRACTION_B_MINMAX)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.724
Minimum0
Maximum100
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:36.790912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.788
Q127.8675
median39.73
Q350.29
95-th percentile77.504
Maximum100
Range100
Interquartile range (IQR)22.4225

Descriptive statistics

Standard deviation20.256098
Coefficient of variation (CV)0.49739953
Kurtosis1.7943358
Mean40.724
Median Absolute Deviation (MAD)10.925
Skewness0.87411461
Sum1221.72
Variance410.30952
MonotonicityNot monotonic
2024-04-17T03:57:36.919121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
51.22 1
 
3.3%
28.7 1
 
3.3%
50.54 1
 
3.3%
40.63 1
 
3.3%
21.13 1
 
3.3%
0.0 1
 
3.3%
27.59 1
 
3.3%
100.0 1
 
3.3%
43.06 1
 
3.3%
24.34 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
11.81 1
3.3%
20.65 1
3.3%
21.13 1
3.3%
23.82 1
3.3%
24.34 1
3.3%
26.1 1
3.3%
27.59 1
3.3%
28.7 1
3.3%
29.32 1
3.3%
ValueCountFrequency (%)
100.0 1
3.3%
80.87 1
3.3%
73.39 1
3.3%
59.11 1
3.3%
58.2 1
3.3%
51.22 1
3.3%
50.55 1
3.3%
50.54 1
3.3%
49.54 1
3.3%
44.37 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.848333
Minimum0.52
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:37.038718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile19.426
Q130.49
median39.475
Q349.1125
95-th percentile96.0985
Maximum100
Range99.48
Interquartile range (IQR)18.6225

Descriptive statistics

Standard deviation23.821678
Coefficient of variation (CV)0.53116084
Kurtosis0.98657833
Mean44.848333
Median Absolute Deviation (MAD)10.005
Skewness1.0295428
Sum1345.45
Variance567.47236
MonotonicityNot monotonic
2024-04-17T03:57:37.159289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100.0 2
 
6.7%
20.57 1
 
3.3%
42.67 1
 
3.3%
39.2 1
 
3.3%
37.97 1
 
3.3%
47.32 1
 
3.3%
35.96 1
 
3.3%
57.22 1
 
3.3%
89.72 1
 
3.3%
49.56 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0.52 1
3.3%
18.49 1
3.3%
20.57 1
3.3%
23.96 1
3.3%
24.1 1
3.3%
25.62 1
3.3%
26.36 1
3.3%
29.09 1
3.3%
34.69 1
3.3%
35.16 1
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
91.33 1
3.3%
89.72 1
3.3%
64.62 1
3.3%
57.22 1
3.3%
49.56 1
3.3%
49.4 1
3.3%
48.25 1
3.3%
47.32 1
3.3%
47.14 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.855333
Minimum0
Maximum78.34
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:37.289610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4725
median5.78
Q311.9375
95-th percentile67.9085
Maximum78.34
Range78.34
Interquartile range (IQR)10.465

Descriptive statistics

Standard deviation21.347556
Coefficient of variation (CV)1.5407465
Kurtosis3.8964809
Mean13.855333
Median Absolute Deviation (MAD)5.78
Skewness2.167957
Sum415.66
Variance455.71816
MonotonicityNot monotonic
2024-04-17T03:57:37.410837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
18.68 1
 
3.3%
61.93 1
 
3.3%
6.13 1
 
3.3%
31.22 1
 
3.3%
5.43 1
 
3.3%
3.13 1
 
3.3%
8.35 1
 
3.3%
1.93 1
 
3.3%
4.53 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
1.32 1
 
3.3%
1.93 1
 
3.3%
2.8 1
 
3.3%
3.12 1
 
3.3%
3.13 1
 
3.3%
4.14 1
 
3.3%
4.53 1
 
3.3%
5.43 1
 
3.3%
6.13 1
 
3.3%
ValueCountFrequency (%)
78.34 1
3.3%
72.8 1
3.3%
61.93 1
3.3%
36.13 1
3.3%
31.22 1
3.3%
18.68 1
3.3%
16.09 1
3.3%
11.98 1
3.3%
11.81 1
3.3%
10.4 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.518333
Minimum0
Maximum96.43
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:37.572039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.2425
median15.355
Q326.34
95-th percentile53.005
Maximum96.43
Range96.43
Interquartile range (IQR)20.0975

Descriptive statistics

Standard deviation20.931124
Coefficient of variation (CV)1.0201181
Kurtosis4.8576951
Mean20.518333
Median Absolute Deviation (MAD)9.67
Skewness1.9231866
Sum615.55
Variance438.11195
MonotonicityNot monotonic
2024-04-17T03:57:37.697328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 3
 
10.0%
20.54 1
 
3.3%
10.45 1
 
3.3%
5.13 1
 
3.3%
33.89 1
 
3.3%
24.12 1
 
3.3%
38.7 1
 
3.3%
14.84 1
 
3.3%
9.77 1
 
3.3%
53.86 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 3
10.0%
1.77 1
 
3.3%
4.69 1
 
3.3%
4.99 1
 
3.3%
5.13 1
 
3.3%
6.24 1
 
3.3%
6.25 1
 
3.3%
7.5 1
 
3.3%
8.18 1
 
3.3%
9.77 1
 
3.3%
ValueCountFrequency (%)
96.43 1
3.3%
53.86 1
3.3%
51.96 1
3.3%
47.2 1
3.3%
38.7 1
3.3%
33.89 1
3.3%
30.78 1
3.3%
27.08 1
3.3%
24.12 1
3.3%
23.96 1
3.3%
Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.308
Minimum0
Maximum74.51
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:37.817066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2675
median3.105
Q322.2
95-th percentile65.0985
Maximum74.51
Range74.51
Interquartile range (IQR)21.9325

Descriptive statistics

Standard deviation21.374105
Coefficient of variation (CV)1.3962703
Kurtosis1.9582379
Mean15.308
Median Absolute Deviation (MAD)3.105
Skewness1.6504944
Sum459.24
Variance456.85237
MonotonicityNot monotonic
2024-04-17T03:57:37.940123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 8
26.7%
16.27 1
 
3.3%
8.73 1
 
3.3%
1.38 1
 
3.3%
2.68 1
 
3.3%
43.01 1
 
3.3%
23.36 1
 
3.3%
60.88 1
 
3.3%
2.44 1
 
3.3%
1.07 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0.0 8
26.7%
1.07 1
 
3.3%
1.36 1
 
3.3%
1.38 1
 
3.3%
1.55 1
 
3.3%
2.44 1
 
3.3%
2.68 1
 
3.3%
3.07 1
 
3.3%
3.14 1
 
3.3%
8.73 1
 
3.3%
ValueCountFrequency (%)
74.51 1
3.3%
68.55 1
3.3%
60.88 1
3.3%
43.01 1
3.3%
31.05 1
3.3%
30.69 1
3.3%
27.19 1
3.3%
23.36 1
3.3%
18.72 1
3.3%
16.75 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15366667
Minimum-1.33
Maximum3.85
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)63.3%
Memory size402.0 B
2024-04-17T03:57:38.064909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.33
5-th percentile-1.0805
Q1-0.42
median-0.125
Q30.3175
95-th percentile2.3725
Maximum3.85
Range5.18
Interquartile range (IQR)0.7375

Descriptive statistics

Standard deviation1.1091111
Coefficient of variation (CV)7.2176428
Kurtosis3.6815161
Mean0.15366667
Median Absolute Deviation (MAD)0.345
Skewness1.7686174
Sum4.61
Variance1.2301275
MonotonicityNot monotonic
2024-04-17T03:57:38.178403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-0.59 2
 
6.7%
-0.42 2
 
6.7%
-0.2 2
 
6.7%
-0.8 1
 
3.3%
-0.26 1
 
3.3%
-0.22 1
 
3.3%
-0.35 1
 
3.3%
0.1 1
 
3.3%
-0.04 1
 
3.3%
-0.03 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
-1.33 1
3.3%
-1.22 1
3.3%
-0.91 1
3.3%
-0.8 1
3.3%
-0.59 2
6.7%
-0.5 1
3.3%
-0.42 2
6.7%
-0.35 1
3.3%
-0.26 1
3.3%
-0.22 1
3.3%
ValueCountFrequency (%)
3.85 1
3.3%
2.53 1
3.3%
2.18 1
3.3%
1.45 1
3.3%
0.87 1
3.3%
0.74 1
3.3%
0.66 1
3.3%
0.36 1
3.3%
0.19 1
3.3%
0.1 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.253
Minimum-3.09
Maximum2.57
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)76.7%
Memory size402.0 B
2024-04-17T03:57:38.314700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.09
5-th percentile-1.677
Q1-0.7975
median-0.305
Q3-0.0425
95-th percentile1.23
Maximum2.57
Range5.66
Interquartile range (IQR)0.755

Descriptive statistics

Standard deviation1.053448
Coefficient of variation (CV)-4.1638262
Kurtosis2.198829
Mean-0.253
Median Absolute Deviation (MAD)0.47
Skewness0.08664885
Sum-7.59
Variance1.1097528
MonotonicityNot monotonic
2024-04-17T03:57:38.443584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-0.7 2
 
6.7%
-0.23 2
 
6.7%
1.23 2
 
6.7%
-0.41 2
 
6.7%
-0.83 1
 
3.3%
-0.73 1
 
3.3%
-3.09 1
 
3.3%
-0.09 1
 
3.3%
-2.19 1
 
3.3%
-0.93 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
-3.09 1
3.3%
-2.19 1
3.3%
-1.05 1
3.3%
-0.93 1
3.3%
-0.87 1
3.3%
-0.86 1
3.3%
-0.83 1
3.3%
-0.82 1
3.3%
-0.73 1
3.3%
-0.7 2
6.7%
ValueCountFrequency (%)
2.57 1
3.3%
1.23 2
6.7%
1.19 1
3.3%
1.0 1
3.3%
0.62 1
3.3%
0.24 1
3.3%
-0.03 1
3.3%
-0.08 1
3.3%
-0.09 1
3.3%
-0.14 1
3.3%

견인요소C_매력도(ATTRACTION_C)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.048
Minimum-1.26
Maximum1.45
Zeros1
Zeros (%)3.3%
Negative17
Negative (%)56.7%
Memory size402.0 B
2024-04-17T03:57:38.920932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.26
5-th percentile-0.9855
Q1-0.48
median-0.1
Q30.2
95-th percentile1.214
Maximum1.45
Range2.71
Interquartile range (IQR)0.68

Descriptive statistics

Standard deviation0.65307971
Coefficient of variation (CV)-13.605827
Kurtosis0.42471346
Mean-0.048
Median Absolute Deviation (MAD)0.32
Skewness0.52803911
Sum-1.44
Variance0.4265131
MonotonicityNot monotonic
2024-04-17T03:57:39.039881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-0.27 2
 
6.7%
-0.67 2
 
6.7%
-0.1 2
 
6.7%
0.2 2
 
6.7%
-0.04 1
 
3.3%
-0.71 1
 
3.3%
-0.2 1
 
3.3%
-0.73 1
 
3.3%
0.0 1
 
3.3%
0.95 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
-1.26 1
3.3%
-1.08 1
3.3%
-0.87 1
3.3%
-0.73 1
3.3%
-0.71 1
3.3%
-0.67 2
6.7%
-0.55 1
3.3%
-0.27 2
6.7%
-0.21 1
3.3%
-0.2 1
3.3%
ValueCountFrequency (%)
1.45 1
3.3%
1.43 1
3.3%
0.95 1
3.3%
0.83 1
3.3%
0.59 1
3.3%
0.37 1
3.3%
0.24 1
3.3%
0.2 2
6.7%
0.16 1
3.3%
0.12 1
3.3%
Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.738
Minimum0
Maximum100
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:39.149079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.365
Q38.91
95-th percentile83.6425
Maximum100
Range100
Interquartile range (IQR)8.91

Descriptive statistics

Standard deviation28.661089
Coefficient of variation (CV)1.8211392
Kurtosis3.655356
Mean15.738
Median Absolute Deviation (MAD)2.365
Skewness2.1253131
Sum472.14
Variance821.45802
MonotonicityNot monotonic
2024-04-17T03:57:39.258091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 15
50.0%
8.33 3
 
10.0%
100.0 2
 
6.7%
54.68 1
 
3.3%
28.49 1
 
3.3%
52.63 1
 
3.3%
4.73 1
 
3.3%
8.37 1
 
3.3%
12.46 1
 
3.3%
4.74 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0.0 15
50.0%
4.73 1
 
3.3%
4.74 1
 
3.3%
8.31 1
 
3.3%
8.33 3
 
10.0%
8.37 1
 
3.3%
9.09 1
 
3.3%
12.46 1
 
3.3%
28.49 1
 
3.3%
52.63 1
 
3.3%
ValueCountFrequency (%)
100.0 2
6.7%
63.65 1
 
3.3%
54.68 1
 
3.3%
52.63 1
 
3.3%
28.49 1
 
3.3%
12.46 1
 
3.3%
9.09 1
 
3.3%
8.37 1
 
3.3%
8.33 3
10.0%
8.31 1
 
3.3%
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.647667
Minimum0
Maximum79.02
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:39.366793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.235
Q328.8325
95-th percentile53.4505
Maximum79.02
Range79.02
Interquartile range (IQR)28.8325

Descriptive statistics

Standard deviation20.73242
Coefficient of variation (CV)1.1747967
Kurtosis1.3076224
Mean17.647667
Median Absolute Deviation (MAD)11.235
Skewness1.26526
Sum529.43
Variance429.83325
MonotonicityNot monotonic
2024-04-17T03:57:39.495702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 12
40.0%
45.36 2
 
6.7%
79.02 1
 
3.3%
30.11 1
 
3.3%
34.75 1
 
3.3%
15.73 1
 
3.3%
25.0 1
 
3.3%
7.75 1
 
3.3%
20.1 1
 
3.3%
10.07 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0.0 12
40.0%
7.75 1
 
3.3%
7.76 1
 
3.3%
10.07 1
 
3.3%
12.4 1
 
3.3%
15.73 1
 
3.3%
17.38 1
 
3.3%
20.1 1
 
3.3%
21.04 1
 
3.3%
22.31 1
 
3.3%
ValueCountFrequency (%)
79.02 1
3.3%
60.07 1
3.3%
45.36 2
6.7%
38.87 1
3.3%
36.35 1
3.3%
34.75 1
3.3%
30.11 1
3.3%
25.0 1
3.3%
22.31 1
3.3%
21.04 1
3.3%
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.699333
Minimum0
Maximum87.5
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:39.650512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.015
Q326.755
95-th percentile73.164
Maximum87.5
Range87.5
Interquartile range (IQR)26.755

Descriptive statistics

Standard deviation25.312341
Coefficient of variation (CV)1.4301296
Kurtosis1.5499131
Mean17.699333
Median Absolute Deviation (MAD)4.015
Skewness1.5593409
Sum530.98
Variance640.7146
MonotonicityNot monotonic
2024-04-17T03:57:39.769345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 13
43.3%
29.63 1
 
3.3%
7.63 1
 
3.3%
2.23 1
 
3.3%
3.4 1
 
3.3%
53.26 1
 
3.3%
4.63 1
 
3.3%
66.74 1
 
3.3%
19.23 1
 
3.3%
12.5 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0.0 13
43.3%
2.23 1
 
3.3%
3.4 1
 
3.3%
4.63 1
 
3.3%
7.63 1
 
3.3%
12.5 1
 
3.3%
15.01 1
 
3.3%
18.7 1
 
3.3%
19.23 1
 
3.3%
21.4 1
 
3.3%
ValueCountFrequency (%)
87.5 1
3.3%
78.42 1
3.3%
66.74 1
3.3%
53.26 1
3.3%
50.0 1
3.3%
32.16 1
3.3%
29.63 1
3.3%
28.54 1
3.3%
21.4 1
3.3%
19.23 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.873667
Minimum26.53
Maximum93.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:39.888537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.53
5-th percentile28.1505
Q131.855
median35.7
Q343.735
95-th percentile70.265
Maximum93.1
Range66.57
Interquartile range (IQR)11.88

Descriptive statistics

Standard deviation14.609252
Coefficient of variation (CV)0.35742455
Kurtosis5.1590381
Mean40.873667
Median Absolute Deviation (MAD)4.48
Skewness2.1648838
Sum1226.21
Variance213.43024
MonotonicityNot monotonic
2024-04-17T03:57:40.014589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
71.3 1
 
3.3%
34.58 1
 
3.3%
33.69 1
 
3.3%
26.53 1
 
3.3%
32.62 1
 
3.3%
43.66 1
 
3.3%
30.17 1
 
3.3%
93.1 1
 
3.3%
36.33 1
 
3.3%
50.13 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
26.53 1
3.3%
27.57 1
3.3%
28.86 1
3.3%
30.17 1
3.3%
31.21 1
3.3%
31.37 1
3.3%
31.58 1
3.3%
31.6 1
3.3%
32.62 1
3.3%
33.46 1
3.3%
ValueCountFrequency (%)
93.1 1
3.3%
71.3 1
3.3%
69.0 1
3.3%
54.45 1
3.3%
50.13 1
3.3%
48.84 1
3.3%
44.69 1
3.3%
43.76 1
3.3%
43.66 1
3.3%
41.62 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.331333
Minimum12.19
Maximum54.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:40.141063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.19
5-th percentile26.488
Q133.4575
median39.885
Q346.6675
95-th percentile50.2805
Maximum54.43
Range42.24
Interquartile range (IQR)13.21

Descriptive statistics

Standard deviation9.2987844
Coefficient of variation (CV)0.23642179
Kurtosis0.91851165
Mean39.331333
Median Absolute Deviation (MAD)6.78
Skewness-0.79555946
Sum1179.94
Variance86.467391
MonotonicityNot monotonic
2024-04-17T03:57:40.252174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
32.32 1
 
3.3%
30.28 1
 
3.3%
45.56 1
 
3.3%
36.84 1
 
3.3%
39.09 1
 
3.3%
48.04 1
 
3.3%
49.04 1
 
3.3%
28.78 1
 
3.3%
47.34 1
 
3.3%
49.21 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
12.19 1
3.3%
25.03 1
3.3%
28.27 1
3.3%
28.78 1
3.3%
29.82 1
3.3%
30.28 1
3.3%
32.32 1
3.3%
33.19 1
3.3%
34.26 1
3.3%
35.66 1
3.3%
ValueCountFrequency (%)
54.43 1
3.3%
50.78 1
3.3%
49.67 1
3.3%
49.21 1
3.3%
49.04 1
3.3%
48.04 1
3.3%
47.34 1
3.3%
46.67 1
3.3%
46.66 1
3.3%
46.14 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.921
Minimum6.92
Maximum70.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:40.360128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.92
5-th percentile17.773
Q133.015
median37.89
Q346.3225
95-th percentile64.042
Maximum70.24
Range63.32
Interquartile range (IQR)13.3075

Descriptive statistics

Standard deviation13.982651
Coefficient of variation (CV)0.35025803
Kurtosis0.52171518
Mean39.921
Median Absolute Deviation (MAD)7.745
Skewness0.050790475
Sum1197.63
Variance195.51452
MonotonicityNot monotonic
2024-04-17T03:57:40.481663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
70.24 1
 
3.3%
19.5 1
 
3.3%
29.6 1
 
3.3%
28.3 1
 
3.3%
51.82 1
 
3.3%
36.48 1
 
3.3%
46.62 1
 
3.3%
48.29 1
 
3.3%
45.64 1
 
3.3%
34.64 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
6.92 1
3.3%
16.36 1
3.3%
19.5 1
3.3%
26.0 1
3.3%
28.3 1
3.3%
29.6 1
3.3%
32.72 1
3.3%
32.86 1
3.3%
33.48 1
3.3%
34.33 1
3.3%
ValueCountFrequency (%)
70.24 1
3.3%
64.15 1
3.3%
63.91 1
3.3%
60.53 1
3.3%
51.82 1
3.3%
48.29 1
3.3%
46.62 1
3.3%
46.55 1
3.3%
45.64 1
3.3%
45.63 1
3.3%

매력도_평균(AVG_ATTRACTION)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0053333333
Minimum-1.6
Maximum1.31
Zeros1
Zeros (%)3.3%
Negative13
Negative (%)43.3%
Memory size402.0 B
2024-04-17T03:57:40.599823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-0.952
Q1-0.1175
median0.05
Q30.2175
95-th percentile0.7665
Maximum1.31
Range2.91
Interquartile range (IQR)0.335

Descriptive statistics

Standard deviation0.5432389
Coefficient of variation (CV)101.85729
Kurtosis2.8572027
Mean0.0053333333
Median Absolute Deviation (MAD)0.17
Skewness-0.60690424
Sum0.16
Variance0.29510851
MonotonicityNot monotonic
2024-04-17T03:57:40.736283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.05 2
 
6.7%
0.0 1
 
3.3%
1.05 1
 
3.3%
0.16 1
 
3.3%
0.42 1
 
3.3%
0.22 1
 
3.3%
-0.08 1
 
3.3%
0.09 1
 
3.3%
0.15 1
 
3.3%
0.21 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
-1.6 1
3.3%
-0.97 1
3.3%
-0.93 1
3.3%
-0.69 1
3.3%
-0.16 1
3.3%
-0.14 1
3.3%
-0.13 1
3.3%
-0.12 1
3.3%
-0.11 1
3.3%
-0.09 1
3.3%
ValueCountFrequency (%)
1.31 1
3.3%
1.05 1
3.3%
0.42 1
3.3%
0.38 1
3.3%
0.33 1
3.3%
0.31 1
3.3%
0.3 1
3.3%
0.22 1
3.3%
0.21 1
3.3%
0.16 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.747
Minimum14.07
Maximum67.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:40.860032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.07
5-th percentile23.787
Q129.74
median37.06
Q348.87
95-th percentile58.3435
Maximum67.15
Range53.08
Interquartile range (IQR)19.13

Descriptive statistics

Standard deviation12.568197
Coefficient of variation (CV)0.31620492
Kurtosis-0.52286738
Mean39.747
Median Absolute Deviation (MAD)9.46
Skewness0.16962588
Sum1192.41
Variance157.95957
MonotonicityNot monotonic
2024-04-17T03:57:40.972314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
51.88 1
 
3.3%
67.15 1
 
3.3%
42.36 1
 
3.3%
50.13 1
 
3.3%
24.5 1
 
3.3%
28.77 1
 
3.3%
33.2 1
 
3.3%
33.86 1
 
3.3%
23.93 1
 
3.3%
48.3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
14.07 1
3.3%
23.67 1
3.3%
23.93 1
3.3%
24.5 1
3.3%
27.21 1
3.3%
27.99 1
3.3%
28.77 1
3.3%
28.8 1
3.3%
32.56 1
3.3%
33.2 1
3.3%
ValueCountFrequency (%)
67.15 1
3.3%
59.05 1
3.3%
57.48 1
3.3%
56.45 1
3.3%
52.53 1
3.3%
51.88 1
3.3%
50.13 1
3.3%
49.06 1
3.3%
48.3 1
3.3%
47.11 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.079667
Minimum22.24
Maximum48.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:41.085559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.24
5-th percentile29.338
Q133.525
median37.685
Q342.875
95-th percentile45.8895
Maximum48.57
Range26.33
Interquartile range (IQR)9.35

Descriptive statistics

Standard deviation6.0433626
Coefficient of variation (CV)0.15870314
Kurtosis0.10063779
Mean38.079667
Median Absolute Deviation (MAD)4.605
Skewness-0.4688703
Sum1142.39
Variance36.522231
MonotonicityNot monotonic
2024-04-17T03:57:41.201768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33.5 1
 
3.3%
33.6 1
 
3.3%
33.07 1
 
3.3%
43.88 1
 
3.3%
38.34 1
 
3.3%
34.9 1
 
3.3%
42.98 1
 
3.3%
36.29 1
 
3.3%
42.56 1
 
3.3%
43.39 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
22.24 1
3.3%
27.88 1
3.3%
31.12 1
3.3%
32.23 1
3.3%
32.39 1
3.3%
33.07 1
3.3%
33.09 1
3.3%
33.5 1
3.3%
33.6 1
3.3%
34.9 1
3.3%
ValueCountFrequency (%)
48.57 1
3.3%
46.38 1
3.3%
45.29 1
3.3%
45.19 1
3.3%
44.86 1
3.3%
43.88 1
3.3%
43.39 1
3.3%
42.98 1
3.3%
42.56 1
3.3%
41.73 1
3.3%

최종지표(INDEX)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68366667
Minimum0.05
Maximum2.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:41.345591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.1325
Q10.3325
median0.47
Q30.9675
95-th percentile1.911
Maximum2.23
Range2.18
Interquartile range (IQR)0.635

Descriptive statistics

Standard deviation0.55197753
Coefficient of variation (CV)0.80737815
Kurtosis2.2522989
Mean0.68366667
Median Absolute Deviation (MAD)0.245
Skewness1.5533972
Sum20.51
Variance0.3046792
MonotonicityNot monotonic
2024-04-17T03:57:41.458443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.4 2
 
6.7%
1.0 2
 
6.7%
0.05 1
 
3.3%
0.45 1
 
3.3%
2.19 1
 
3.3%
1.57 1
 
3.3%
0.34 1
 
3.3%
1.3 1
 
3.3%
0.42 1
 
3.3%
0.76 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.05 1
3.3%
0.11 1
3.3%
0.16 1
3.3%
0.2 1
3.3%
0.24 1
3.3%
0.3 1
3.3%
0.32 1
3.3%
0.33 1
3.3%
0.34 1
3.3%
0.35 1
3.3%
ValueCountFrequency (%)
2.23 1
3.3%
2.19 1
3.3%
1.57 1
3.3%
1.3 1
3.3%
1.06 1
3.3%
1.01 1
3.3%
1.0 2
6.7%
0.87 1
3.3%
0.76 1
3.3%
0.72 1
3.3%

최종지표_이동편균(MA_INDEX)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.120333
Minimum2.68
Maximum99.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:41.574106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.68
5-th percentile4.9165
Q111.9875
median19.56
Q344.515
95-th percentile91.0045
Maximum99.74
Range97.06
Interquartile range (IQR)32.5275

Descriptive statistics

Standard deviation28.011567
Coefficient of variation (CV)0.90010497
Kurtosis0.59478838
Mean31.120333
Median Absolute Deviation (MAD)12.625
Skewness1.2691098
Sum933.61
Variance784.64787
MonotonicityNot monotonic
2024-04-17T03:57:41.704005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
94.51 1
 
3.3%
4.39 1
 
3.3%
76.28 1
 
3.3%
64.77 1
 
3.3%
46.42 1
 
3.3%
18.84 1
 
3.3%
19.95 1
 
3.3%
6.48 1
 
3.3%
5.64 1
 
3.3%
38.8 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2.68 1
3.3%
4.39 1
3.3%
5.56 1
3.3%
5.64 1
3.3%
6.48 1
3.3%
8.84 1
3.3%
10.38 1
3.3%
11.69 1
3.3%
12.88 1
3.3%
14.01 1
3.3%
ValueCountFrequency (%)
99.74 1
3.3%
94.51 1
3.3%
86.72 1
3.3%
76.28 1
3.3%
64.77 1
3.3%
53.84 1
3.3%
47.12 1
3.3%
46.42 1
3.3%
38.8 1
3.3%
37.4 1
3.3%

객단가(UNIT_PRICE)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9737.1667
Minimum8614
Maximum11327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-17T03:57:41.845965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8614
5-th percentile8881.7
Q19385.75
median9674.5
Q310040
95-th percentile10769.7
Maximum11327
Range2713
Interquartile range (IQR)654.25

Descriptive statistics

Standard deviation590.0512
Coefficient of variation (CV)0.060597833
Kurtosis1.123787
Mean9737.1667
Median Absolute Deviation (MAD)325.5
Skewness0.65799208
Sum292115
Variance348160.42
MonotonicityNot monotonic
2024-04-17T03:57:41.994469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8614 1
 
3.3%
9673 1
 
3.3%
9307 1
 
3.3%
10065 1
 
3.3%
10075 1
 
3.3%
11327 1
 
3.3%
9322 1
 
3.3%
9882 1
 
3.3%
8735 1
 
3.3%
9490 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
8614 1
3.3%
8735 1
3.3%
9061 1
3.3%
9159 1
3.3%
9176 1
3.3%
9307 1
3.3%
9322 1
3.3%
9376 1
3.3%
9415 1
3.3%
9418 1
3.3%
ValueCountFrequency (%)
11327 1
3.3%
11010 1
3.3%
10476 1
3.3%
10388 1
3.3%
10280 1
3.3%
10075 1
3.3%
10065 1
3.3%
10064 1
3.3%
9968 1
3.3%
9934 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)
02019년 11월 2주96용산구1.3617.4344.140.152.631.212.040.03.6822.1751.22100.018.6820.5416.27-0.59-0.83-0.550.00.00.071.332.3270.240.051.8833.50.0594.518614
12019년 9월 1주74마포구1.2458.2636.551.3311.162.480.00.02.0100.058.220.573.124.993.072.18-0.480.370.00.00.043.7625.0337.681.0514.0748.572.2314.8710476
22019년 9월 2주117영등포구1.57100.082.491.7716.2266.840.00.00.8868.8834.6349.44.1419.421.36-0.42-0.7-0.670.060.070.069.043.1726.0-0.0927.9945.190.411.6910064
32017년 11월 4주109종로구0.133.6424.792.217.9513.790.380.03.0618.2850.5525.6210.447.23.14-1.33-0.23-0.2154.680.00.031.2149.6738.10.3859.0531.120.8799.749728
42017년 1월 1주112중랑구0.4427.933.740.1813.784.670.320.00.043.4211.8124.136.1323.4118.72-0.911.230.1628.4921.040.031.641.9142.871.3132.5644.860.3712.889891
52017년 7월 3주23영등포구1.0845.3357.920.0814.5225.520.01.220.546.5180.870.520.011.3313.451.451.19-0.1452.6336.350.035.9546.1434.330.1344.145.290.214.019376
62019년 2월 3주118양천구1.9842.3942.090.947.113.40.531.612.3843.1144.3746.878.340.01.55-0.420.24-0.870.00.078.4254.4537.7963.910.3144.7740.40.7186.729934
72019년 11월 1주62중랑구0.6445.3713.240.4262.353.410.432.314.0725.3240.623.961.3296.430.0-0.5-0.190.830.00.00.027.5729.8236.840.347.1137.031.0119.179585
82017년 11월 2주3서대문구0.81100.036.250.326.795.560.00.510.064.8239.2634.6972.81.770.03.85-0.41-0.10.045.3615.0131.5854.4336.24-0.1436.341.730.419.169418
92018년 1월 3주23노원구0.5215.6163.270.13.16100.00.00.03.2528.7938.7218.497.658.1830.690.36-0.70.02100.012.432.1635.2739.3160.53-0.6949.0633.090.2417.9410280
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)
202019년 12월 2주108중구0.7523.0464.41.194.189.051.390.60.040.0939.3591.3316.096.240.0-0.2-0.86-0.130.07.7519.2336.6735.6632.86-0.9757.4827.880.3310.389516
212019년 2월 4주20광진구2.3821.2468.810.163.470.210.691.061.2348.9359.1135.169.216.251.07-0.12-0.271.454.740.066.7435.4536.5432.720.2127.2132.390.7220.3911010
222018년 12월 3주28강서구0.1417.437.110.34100.023.093.121.840.048.8724.3449.564.5330.780.0-0.03-0.140.598.3325.00.050.1349.2134.640.1548.343.390.1138.89490
232017년 7월 3주148동작구0.3527.1446.950.4213.6948.250.00.00.1734.6343.0689.720.053.862.44-0.2-0.34-0.679.0915.734.6336.3347.3445.640.0523.9342.560.765.648735
242018년 10월 2주153강서구0.6457.6430.764.7258.718.72.030.680.046.0100.057.221.939.7760.88-0.04-0.87-1.260.00.00.093.128.7848.290.0933.8636.290.426.489882
252019년 9월 1주105영등포구0.868.3741.012.5812.552.182.660.983.50.027.5935.968.3514.8423.360.1-0.230.958.330.053.2630.1749.0446.62-0.0833.242.981.319.959322
262018년 6월 2주129성북구0.250.025.440.356.9510.40.560.410.433.410.047.323.1338.743.01-0.35-0.930.08.3134.753.443.6648.0436.480.0528.7734.90.3418.8411327
272019년 11월 1주89동대문구2.0846.0856.860.160.020.071.966.130.038.0221.1337.975.4324.122.68-0.22-2.19-0.730.030.110.032.6239.0951.820.2224.538.341.5746.4210075
282019년 12월 2주80성북구0.663.160.00.0860.5638.043.850.430.014.1740.6339.231.2233.890.0-0.59-0.09-0.263.6545.362.2326.5336.8428.30.4250.1343.881.064.7710065
292019년 11월 4주129동작구1.1328.3319.661.6960.7630.934.171.060.040.4750.5442.676.135.131.38-0.26-3.09-0.710.00.07.6333.6945.5629.60.1642.3633.072.1976.289307