Overview

Dataset statistics

Number of variables34
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory309.1 B

Variable types

Text1
Categorical2
Numeric31

Dataset

Description광주광역시 동구민을 대상으로 한 건강요구도 조사 결과를 점수화한 데이터 입니다. 2020년, 2021년 동별 주민들의 삶의 질 인식, 마을 건강수준 인식, 본인 건강수준 인식, 가족 건강수준 인식 등 31가지 조사에 대한 수치를 나타내고 있습니다.
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15103722/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 09:08:06.404916
Analysis finished2023-12-12 09:08:06.719319
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동별
Text

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T18:08:06.837440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6153846
Min length3

Characters and Unicode

Total characters94
Distinct characters17
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

Unique0 ?
Unique (%)0.0%

Sample

1st row충장동
2nd row동명동
3rd row계림1동
4th row계림2동
5th row산수1동
ValueCountFrequency (%)
충장동 2
 
7.1%
동명동 2
 
7.1%
계림1동 2
 
7.1%
계림2동 2
 
7.1%
산수1동 2
 
7.1%
산수2동 2
 
7.1%
지산1동 2
 
7.1%
지산2동 2
 
7.1%
서남동 2
 
7.1%
2
 
7.1%
Other values (4) 8
28.6%
2023-12-12T18:08:07.241262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
29.8%
8
 
8.5%
2 8
 
8.5%
8
 
8.5%
1 8
 
8.5%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
Other values (7) 14
14.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
80.9%
Decimal Number 16
 
17.0%
Space Separator 2
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
36.8%
8
 
10.5%
8
 
10.5%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
2
 
2.6%
2
 
2.6%
Other values (4) 8
 
10.5%
Decimal Number
ValueCountFrequency (%)
2 8
50.0%
1 8
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
80.9%
Common 18
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
36.8%
8
 
10.5%
8
 
10.5%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
2
 
2.6%
2
 
2.6%
Other values (4) 8
 
10.5%
Common
ValueCountFrequency (%)
2 8
44.4%
1 8
44.4%
2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
80.9%
ASCII 18
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
36.8%
8
 
10.5%
8
 
10.5%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
2
 
2.6%
2
 
2.6%
Other values (4) 8
 
10.5%
ASCII
ValueCountFrequency (%)
2 8
44.4%
1 8
44.4%
2
 
11.1%

조사년도
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
2020
13 
2021
13 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 13
50.0%
2021 13
50.0%

Length

2023-12-12T18:08:07.397377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:08:07.519978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 13
50.0%
2021 13
50.0%

삶의 질 인식
Real number (ℝ)

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5273077
Minimum3.1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:07.662064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.24
Q13.3725
median3.495
Q33.695
95-th percentile3.8525
Maximum4
Range0.9
Interquartile range (IQR)0.3225

Descriptive statistics

Standard deviation0.21180288
Coefficient of variation (CV)0.060046614
Kurtosis-0.20633245
Mean3.5273077
Median Absolute Deviation (MAD)0.13
Skewness0.25436495
Sum91.71
Variance0.044860462
MonotonicityNot monotonic
2023-12-12T18:08:07.829567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.37 3
 
11.5%
3.55 2
 
7.7%
3.44 2
 
7.7%
3.22 1
 
3.8%
3.75 1
 
3.8%
3.7 1
 
3.8%
3.88 1
 
3.8%
3.63 1
 
3.8%
3.1 1
 
3.8%
3.32 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
3.1 1
 
3.8%
3.22 1
 
3.8%
3.3 1
 
3.8%
3.32 1
 
3.8%
3.37 3
11.5%
3.38 1
 
3.8%
3.39 1
 
3.8%
3.44 2
7.7%
3.45 1
 
3.8%
3.48 1
 
3.8%
ValueCountFrequency (%)
4.0 1
3.8%
3.88 1
3.8%
3.77 1
3.8%
3.75 1
3.8%
3.74 1
3.8%
3.73 1
3.8%
3.7 1
3.8%
3.68 1
3.8%
3.63 1
3.8%
3.59 1
3.8%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3519231
Minimum2.98
Maximum3.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:08.040589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.98
5-th percentile3.055
Q13.1775
median3.335
Q33.515
95-th percentile3.6475
Maximum3.78
Range0.8
Interquartile range (IQR)0.3375

Descriptive statistics

Standard deviation0.21590774
Coefficient of variation (CV)0.064413096
Kurtosis-0.9670105
Mean3.3519231
Median Absolute Deviation (MAD)0.17
Skewness0.10659118
Sum87.15
Variance0.046616154
MonotonicityNot monotonic
2023-12-12T18:08:08.192430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.28 2
 
7.7%
3.5 2
 
7.7%
3.36 2
 
7.7%
3.1 2
 
7.7%
3.05 1
 
3.8%
3.23 1
 
3.8%
3.78 1
 
3.8%
3.65 1
 
3.8%
3.64 1
 
3.8%
2.98 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
2.98 1
3.8%
3.05 1
3.8%
3.07 1
3.8%
3.1 2
7.7%
3.16 1
3.8%
3.17 1
3.8%
3.2 1
3.8%
3.23 1
3.8%
3.27 1
3.8%
3.28 2
7.7%
ValueCountFrequency (%)
3.78 1
3.8%
3.65 1
3.8%
3.64 1
3.8%
3.61 1
3.8%
3.58 1
3.8%
3.53 1
3.8%
3.52 1
3.8%
3.5 2
7.7%
3.49 1
3.8%
3.43 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3365385
Minimum2.66
Maximum3.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:08.365950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.66
5-th percentile2.6925
Q13.1725
median3.435
Q33.57
95-th percentile3.675
Maximum3.86
Range1.2
Interquartile range (IQR)0.3975

Descriptive statistics

Standard deviation0.32457902
Coefficient of variation (CV)0.097280167
Kurtosis-0.21307365
Mean3.3365385
Median Absolute Deviation (MAD)0.2
Skewness-0.75728952
Sum86.75
Variance0.10535154
MonotonicityNot monotonic
2023-12-12T18:08:08.533071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2.66 2
 
7.7%
3.62 2
 
7.7%
3.49 2
 
7.7%
3.44 1
 
3.8%
3.52 1
 
3.8%
3.26 1
 
3.8%
3.58 1
 
3.8%
3.18 1
 
3.8%
3.86 1
 
3.8%
3.17 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2.66 2
7.7%
2.79 1
3.8%
2.89 1
3.8%
3.03 1
3.8%
3.06 1
3.8%
3.17 1
3.8%
3.18 1
3.8%
3.22 1
3.8%
3.26 1
3.8%
3.38 1
3.8%
ValueCountFrequency (%)
3.86 1
3.8%
3.68 1
3.8%
3.66 1
3.8%
3.65 1
3.8%
3.62 2
7.7%
3.58 1
3.8%
3.54 1
3.8%
3.52 1
3.8%
3.49 2
7.7%
3.45 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.465
Minimum2.82
Maximum3.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:08.723646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.82
5-th percentile3.1025
Q13.265
median3.535
Q33.61
95-th percentile3.8325
Maximum3.95
Range1.13
Interquartile range (IQR)0.345

Descriptive statistics

Standard deviation0.25162273
Coefficient of variation (CV)0.072618393
Kurtosis0.57280116
Mean3.465
Median Absolute Deviation (MAD)0.105
Skewness-0.54214669
Sum90.09
Variance0.063314
MonotonicityNot monotonic
2023-12-12T18:08:09.167891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.47 2
 
7.7%
3.61 2
 
7.7%
3.54 2
 
7.7%
3.21 1
 
3.8%
3.65 1
 
3.8%
3.17 1
 
3.8%
3.18 1
 
3.8%
3.95 1
 
3.8%
3.4 1
 
3.8%
3.08 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2.82 1
3.8%
3.08 1
3.8%
3.17 1
3.8%
3.18 1
3.8%
3.2 1
3.8%
3.21 1
3.8%
3.24 1
3.8%
3.34 1
3.8%
3.4 1
3.8%
3.47 2
7.7%
ValueCountFrequency (%)
3.95 1
3.8%
3.88 1
3.8%
3.69 1
3.8%
3.65 1
3.8%
3.63 1
3.8%
3.62 1
3.8%
3.61 2
7.7%
3.6 1
3.8%
3.58 1
3.8%
3.56 1
3.8%
Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3361538
Minimum2.89
Maximum3.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:09.348185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.89
5-th percentile3.0525
Q13.18
median3.36
Q33.505
95-th percentile3.63
Maximum3.76
Range0.87
Interquartile range (IQR)0.325

Descriptive statistics

Standard deviation0.21768008
Coefficient of variation (CV)0.065248812
Kurtosis-0.63622857
Mean3.3361538
Median Absolute Deviation (MAD)0.155
Skewness-0.063276914
Sum86.74
Variance0.047384615
MonotonicityNot monotonic
2023-12-12T18:08:09.527419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.38 2
 
7.7%
3.63 2
 
7.7%
3.21 2
 
7.7%
3.52 2
 
7.7%
3.06 2
 
7.7%
3.05 1
 
3.8%
3.08 1
 
3.8%
3.76 1
 
3.8%
3.48 1
 
3.8%
2.89 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
2.89 1
3.8%
3.05 1
3.8%
3.06 2
7.7%
3.08 1
3.8%
3.15 1
3.8%
3.17 1
3.8%
3.21 2
7.7%
3.24 1
3.8%
3.29 1
3.8%
3.3 1
3.8%
ValueCountFrequency (%)
3.76 1
3.8%
3.63 2
7.7%
3.61 1
3.8%
3.52 2
7.7%
3.51 1
3.8%
3.49 1
3.8%
3.48 1
3.8%
3.4 1
3.8%
3.38 2
7.7%
3.37 1
3.8%
Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5369231
Minimum3.15
Maximum3.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:09.696422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile3.1675
Q13.3675
median3.535
Q33.7175
95-th percentile3.785
Maximum3.94
Range0.79
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.22236491
Coefficient of variation (CV)0.062869592
Kurtosis-1.0420574
Mean3.5369231
Median Absolute Deviation (MAD)0.18
Skewness-0.20072527
Sum91.96
Variance0.049446154
MonotonicityNot monotonic
2023-12-12T18:08:09.836842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.67 3
 
11.5%
3.77 3
 
11.5%
3.43 3
 
11.5%
3.15 2
 
7.7%
3.94 1
 
3.8%
3.5 1
 
3.8%
3.36 1
 
3.8%
3.71 1
 
3.8%
3.24 1
 
3.8%
3.51 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
3.15 2
7.7%
3.22 1
 
3.8%
3.24 1
 
3.8%
3.32 1
 
3.8%
3.35 1
 
3.8%
3.36 1
 
3.8%
3.39 1
 
3.8%
3.43 3
11.5%
3.5 1
 
3.8%
3.51 1
 
3.8%
ValueCountFrequency (%)
3.94 1
 
3.8%
3.79 1
 
3.8%
3.77 3
11.5%
3.76 1
 
3.8%
3.72 1
 
3.8%
3.71 1
 
3.8%
3.68 1
 
3.8%
3.67 3
11.5%
3.56 1
 
3.8%
3.51 1
 
3.8%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3892308
Minimum2.95
Maximum3.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:09.983144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.95
5-th percentile3.0225
Q13.195
median3.405
Q33.5575
95-th percentile3.685
Maximum3.92
Range0.97
Interquartile range (IQR)0.3625

Descriptive statistics

Standard deviation0.23891292
Coefficient of variation (CV)0.070491784
Kurtosis-0.40273706
Mean3.3892308
Median Absolute Deviation (MAD)0.175
Skewness-0.03913233
Sum88.12
Variance0.057079385
MonotonicityNot monotonic
2023-12-12T18:08:10.132740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.64 2
 
7.7%
3.39 2
 
7.7%
3.19 1
 
3.8%
2.95 1
 
3.8%
3.53 1
 
3.8%
3.92 1
 
3.8%
3.47 1
 
3.8%
3.02 1
 
3.8%
3.21 1
 
3.8%
3.14 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
2.95 1
3.8%
3.02 1
3.8%
3.03 1
3.8%
3.09 1
3.8%
3.14 1
3.8%
3.15 1
3.8%
3.19 1
3.8%
3.21 1
3.8%
3.3 1
3.8%
3.35 1
3.8%
ValueCountFrequency (%)
3.92 1
3.8%
3.7 1
3.8%
3.64 2
7.7%
3.59 1
3.8%
3.57 1
3.8%
3.56 1
3.8%
3.55 1
3.8%
3.53 1
3.8%
3.51 1
3.8%
3.47 1
3.8%
Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2953846
Minimum2.76
Maximum3.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:10.292237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.76
5-th percentile2.8125
Q13.24
median3.35
Q33.45
95-th percentile3.615
Maximum3.76
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.26037251
Coefficient of variation (CV)0.079011267
Kurtosis-0.091269467
Mean3.2953846
Median Absolute Deviation (MAD)0.11
Skewness-0.66477744
Sum85.68
Variance0.067793846
MonotonicityNot monotonic
2023-12-12T18:08:10.490157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.53 2
 
7.7%
3.26 2
 
7.7%
3.41 2
 
7.7%
3.46 2
 
7.7%
3.42 2
 
7.7%
3.24 2
 
7.7%
2.91 1
 
3.8%
2.92 1
 
3.8%
3.76 1
 
3.8%
2.85 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
2.76 1
3.8%
2.8 1
3.8%
2.85 1
3.8%
2.91 1
3.8%
2.92 1
3.8%
3.17 1
3.8%
3.24 2
7.7%
3.25 1
3.8%
3.26 2
7.7%
3.33 1
3.8%
ValueCountFrequency (%)
3.76 1
3.8%
3.62 1
3.8%
3.6 1
3.8%
3.53 2
7.7%
3.46 2
7.7%
3.42 2
7.7%
3.41 2
7.7%
3.37 1
3.8%
3.36 1
3.8%
3.34 1
3.8%

고용 및 경제 인식
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0211538
Minimum2.54
Maximum3.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:10.654917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.54
5-th percentile2.6275
Q12.9025
median3.015
Q33.145
95-th percentile3.36
Maximum3.58
Range1.04
Interquartile range (IQR)0.2425

Descriptive statistics

Standard deviation0.23420208
Coefficient of variation (CV)0.07752074
Kurtosis0.49671532
Mean3.0211538
Median Absolute Deviation (MAD)0.13
Skewness0.0758453
Sum78.55
Variance0.054850615
MonotonicityNot monotonic
2023-12-12T18:08:10.811800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.0 3
 
11.5%
3.06 2
 
7.7%
3.24 1
 
3.8%
3.16 1
 
3.8%
3.58 1
 
3.8%
3.22 1
 
3.8%
2.54 1
 
3.8%
3.02 1
 
3.8%
2.76 1
 
3.8%
2.79 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2.54 1
 
3.8%
2.6 1
 
3.8%
2.71 1
 
3.8%
2.76 1
 
3.8%
2.79 1
 
3.8%
2.87 1
 
3.8%
2.9 1
 
3.8%
2.91 1
 
3.8%
2.96 1
 
3.8%
3.0 3
11.5%
ValueCountFrequency (%)
3.58 1
3.8%
3.39 1
3.8%
3.27 1
3.8%
3.26 1
3.8%
3.24 1
3.8%
3.22 1
3.8%
3.16 1
3.8%
3.1 1
3.8%
3.09 1
3.8%
3.06 2
7.7%

주거환경 인식
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5219231
Minimum2.51
Maximum4.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:10.965940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.51
5-th percentile3.0125
Q13.3675
median3.53
Q33.725
95-th percentile3.8875
Maximum4.39
Range1.88
Interquartile range (IQR)0.3575

Descriptive statistics

Standard deviation0.35583164
Coefficient of variation (CV)0.10103334
Kurtosis2.3784484
Mean3.5219231
Median Absolute Deviation (MAD)0.2
Skewness-0.46736287
Sum91.57
Variance0.12661615
MonotonicityNot monotonic
2023-12-12T18:08:11.137548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.88 2
 
7.7%
3.47 2
 
7.7%
3.65 2
 
7.7%
3.05 1
 
3.8%
3.24 1
 
3.8%
3.79 1
 
3.8%
2.51 1
 
3.8%
3.26 1
 
3.8%
3.31 1
 
3.8%
3.44 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2.51 1
3.8%
3.0 1
3.8%
3.05 1
3.8%
3.24 1
3.8%
3.26 1
3.8%
3.31 1
3.8%
3.35 1
3.8%
3.42 1
3.8%
3.44 1
3.8%
3.47 2
7.7%
ValueCountFrequency (%)
4.39 1
3.8%
3.89 1
3.8%
3.88 2
7.7%
3.8 1
3.8%
3.79 1
3.8%
3.75 1
3.8%
3.65 2
7.7%
3.62 1
3.8%
3.6 1
3.8%
3.59 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5442308
Minimum2.85
Maximum3.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:11.322907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.85
5-th percentile3.1875
Q13.345
median3.555
Q33.735
95-th percentile3.905
Maximum3.92
Range1.07
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.2719143
Coefficient of variation (CV)0.076720257
Kurtosis-0.040831775
Mean3.5442308
Median Absolute Deviation (MAD)0.205
Skewness-0.57385521
Sum92.15
Variance0.073937385
MonotonicityNot monotonic
2023-12-12T18:08:11.483834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.71 2
 
7.7%
3.28 2
 
7.7%
3.55 2
 
7.7%
3.24 1
 
3.8%
3.34 1
 
3.8%
3.77 1
 
3.8%
3.91 1
 
3.8%
3.92 1
 
3.8%
3.84 1
 
3.8%
2.85 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2.85 1
3.8%
3.18 1
3.8%
3.21 1
3.8%
3.24 1
3.8%
3.28 2
7.7%
3.34 1
3.8%
3.36 1
3.8%
3.41 1
3.8%
3.44 1
3.8%
3.51 1
3.8%
ValueCountFrequency (%)
3.92 1
3.8%
3.91 1
3.8%
3.89 1
3.8%
3.86 1
3.8%
3.84 1
3.8%
3.77 1
3.8%
3.74 1
3.8%
3.72 1
3.8%
3.71 2
7.7%
3.67 1
3.8%

문화와 여가 인식
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3303846
Minimum2.87
Maximum3.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:11.626271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.87
5-th percentile2.965
Q13.21
median3.32
Q33.4425
95-th percentile3.7425
Maximum3.9
Range1.03
Interquartile range (IQR)0.2325

Descriptive statistics

Standard deviation0.24640586
Coefficient of variation (CV)0.073987207
Kurtosis0.15667323
Mean3.3303846
Median Absolute Deviation (MAD)0.12
Skewness0.3894813
Sum86.59
Variance0.060715846
MonotonicityNot monotonic
2023-12-12T18:08:11.771933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.21 3
 
11.5%
3.33 2
 
7.7%
3.42 2
 
7.7%
3.32 2
 
7.7%
2.87 1
 
3.8%
3.63 1
 
3.8%
3.62 1
 
3.8%
3.45 1
 
3.8%
3.05 1
 
3.8%
3.23 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
2.87 1
 
3.8%
2.96 1
 
3.8%
2.98 1
 
3.8%
3.05 1
 
3.8%
3.16 1
 
3.8%
3.18 1
 
3.8%
3.21 3
11.5%
3.23 1
 
3.8%
3.24 1
 
3.8%
3.3 1
 
3.8%
ValueCountFrequency (%)
3.9 1
3.8%
3.77 1
3.8%
3.66 1
3.8%
3.63 1
3.8%
3.62 1
3.8%
3.48 1
3.8%
3.45 1
3.8%
3.42 2
7.7%
3.34 1
3.8%
3.33 2
7.7%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0857692
Minimum2.38
Maximum3.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:11.921328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.38
5-th percentile2.4675
Q12.885
median3.095
Q33.3525
95-th percentile3.7175
Maximum3.78
Range1.4
Interquartile range (IQR)0.4675

Descriptive statistics

Standard deviation0.37934863
Coefficient of variation (CV)0.12293487
Kurtosis-0.44291237
Mean3.0857692
Median Absolute Deviation (MAD)0.25
Skewness-0.046608863
Sum80.23
Variance0.14390538
MonotonicityNot monotonic
2023-12-12T18:08:12.069901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.0 2
 
7.7%
2.44 1
 
3.8%
3.44 1
 
3.8%
3.78 1
 
3.8%
3.73 1
 
3.8%
3.12 1
 
3.8%
2.68 1
 
3.8%
2.9 1
 
3.8%
3.17 1
 
3.8%
3.08 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
2.38 1
3.8%
2.44 1
3.8%
2.55 1
3.8%
2.56 1
3.8%
2.68 1
3.8%
2.78 1
3.8%
2.88 1
3.8%
2.9 1
3.8%
3.0 2
7.7%
3.03 1
3.8%
ValueCountFrequency (%)
3.78 1
3.8%
3.73 1
3.8%
3.68 1
3.8%
3.47 1
3.8%
3.44 1
3.8%
3.37 1
3.8%
3.36 1
3.8%
3.33 1
3.8%
3.19 1
3.8%
3.17 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4330769
Minimum3.01
Maximum3.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:12.230665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.01
5-th percentile3.0775
Q13.245
median3.39
Q33.6125
95-th percentile3.79
Maximum3.9
Range0.89
Interquartile range (IQR)0.3675

Descriptive statistics

Standard deviation0.2364702
Coefficient of variation (CV)0.068879959
Kurtosis-0.6972079
Mean3.4330769
Median Absolute Deviation (MAD)0.17
Skewness0.20839576
Sum89.26
Variance0.055918154
MonotonicityNot monotonic
2023-12-12T18:08:12.388113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.22 2
 
7.7%
3.62 2
 
7.7%
3.35 2
 
7.7%
3.01 1
 
3.8%
3.47 1
 
3.8%
3.76 1
 
3.8%
3.8 1
 
3.8%
3.31 1
 
3.8%
3.04 1
 
3.8%
3.24 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3.01 1
3.8%
3.04 1
3.8%
3.19 1
3.8%
3.21 1
3.8%
3.22 2
7.7%
3.24 1
3.8%
3.26 1
3.8%
3.31 1
3.8%
3.35 2
7.7%
3.36 1
3.8%
ValueCountFrequency (%)
3.9 1
3.8%
3.8 1
3.8%
3.76 1
3.8%
3.75 1
3.8%
3.72 1
3.8%
3.62 2
7.7%
3.59 1
3.8%
3.56 1
3.8%
3.5 1
3.8%
3.47 1
3.8%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8630769
Minimum2.12
Maximum3.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:12.525034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.12
5-th percentile2.185
Q12.6425
median2.885
Q33.1
95-th percentile3.485
Maximum3.74
Range1.62
Interquartile range (IQR)0.4575

Descriptive statistics

Standard deviation0.39527984
Coefficient of variation (CV)0.1380612
Kurtosis0.04222258
Mean2.8630769
Median Absolute Deviation (MAD)0.24
Skewness0.091283762
Sum74.44
Variance0.15624615
MonotonicityNot monotonic
2023-12-12T18:08:12.683533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2.95 2
 
7.7%
2.14 1
 
3.8%
2.54 1
 
3.8%
3.5 1
 
3.8%
3.44 1
 
3.8%
3.74 1
 
3.8%
3.28 1
 
3.8%
2.64 1
 
3.8%
3.04 1
 
3.8%
3.14 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
2.12 1
3.8%
2.14 1
3.8%
2.32 1
3.8%
2.39 1
3.8%
2.54 1
3.8%
2.62 1
3.8%
2.64 1
3.8%
2.65 1
3.8%
2.67 1
3.8%
2.7 1
3.8%
ValueCountFrequency (%)
3.74 1
3.8%
3.5 1
3.8%
3.44 1
3.8%
3.28 1
3.8%
3.14 1
3.8%
3.13 1
3.8%
3.12 1
3.8%
3.04 1
3.8%
3.0 1
3.8%
2.99 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6996154
Minimum3.14
Maximum4.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:12.815463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.14
5-th percentile3.1975
Q13.4825
median3.695
Q33.9075
95-th percentile4.235
Maximum4.31
Range1.17
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation0.32970873
Coefficient of variation (CV)0.089119731
Kurtosis-0.63702219
Mean3.6996154
Median Absolute Deviation (MAD)0.215
Skewness0.095844223
Sum96.19
Variance0.10870785
MonotonicityNot monotonic
2023-12-12T18:08:12.947625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.77 2
 
7.7%
4.19 2
 
7.7%
3.29 2
 
7.7%
3.66 1
 
3.8%
3.69 1
 
3.8%
3.19 1
 
3.8%
3.92 1
 
3.8%
3.83 1
 
3.8%
3.14 1
 
3.8%
3.58 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3.14 1
3.8%
3.19 1
3.8%
3.22 1
3.8%
3.29 2
7.7%
3.43 1
3.8%
3.48 1
3.8%
3.49 1
3.8%
3.58 1
3.8%
3.59 1
3.8%
3.66 1
3.8%
ValueCountFrequency (%)
4.31 1
3.8%
4.25 1
3.8%
4.19 2
7.7%
3.95 1
3.8%
3.92 1
3.8%
3.91 1
3.8%
3.9 1
3.8%
3.83 1
3.8%
3.78 1
3.8%
3.77 2
7.7%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6034615
Minimum3.16
Maximum3.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:13.110815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.16
5-th percentile3.215
Q13.4025
median3.69
Q33.8075
95-th percentile3.875
Maximum3.96
Range0.8
Interquartile range (IQR)0.405

Descriptive statistics

Standard deviation0.24494803
Coefficient of variation (CV)0.067975759
Kurtosis-1.2747794
Mean3.6034615
Median Absolute Deviation (MAD)0.165
Skewness-0.43038246
Sum93.69
Variance0.059999538
MonotonicityNot monotonic
2023-12-12T18:08:13.338345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.41 2
 
7.7%
3.16 1
 
3.8%
3.58 1
 
3.8%
3.83 1
 
3.8%
3.73 1
 
3.8%
3.88 1
 
3.8%
3.82 1
 
3.8%
3.38 1
 
3.8%
3.4 1
 
3.8%
3.21 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
3.16 1
3.8%
3.21 1
3.8%
3.23 1
3.8%
3.27 1
3.8%
3.31 1
3.8%
3.38 1
3.8%
3.4 1
3.8%
3.41 2
7.7%
3.46 1
3.8%
3.58 1
3.8%
ValueCountFrequency (%)
3.96 1
3.8%
3.88 1
3.8%
3.86 1
3.8%
3.85 1
3.8%
3.83 1
3.8%
3.82 1
3.8%
3.81 1
3.8%
3.8 1
3.8%
3.79 1
3.8%
3.76 1
3.8%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5484615
Minimum3.05
Maximum4.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:13.596394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.05
5-th percentile3.175
Q13.34
median3.51
Q33.71
95-th percentile4.05
Maximum4.14
Range1.09
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.28008131
Coefficient of variation (CV)0.078930349
Kurtosis-0.33403447
Mean3.5484615
Median Absolute Deviation (MAD)0.2
Skewness0.36447733
Sum92.26
Variance0.078445538
MonotonicityNot monotonic
2023-12-12T18:08:13.824559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.71 2
 
7.7%
3.5 1
 
3.8%
3.44 1
 
3.8%
3.58 1
 
3.8%
3.6 1
 
3.8%
3.96 1
 
3.8%
3.48 1
 
3.8%
3.23 1
 
3.8%
3.05 1
 
3.8%
3.16 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
3.05 1
3.8%
3.16 1
3.8%
3.22 1
3.8%
3.23 1
3.8%
3.27 1
3.8%
3.28 1
3.8%
3.33 1
3.8%
3.37 1
3.8%
3.43 1
3.8%
3.44 1
3.8%
ValueCountFrequency (%)
4.14 1
3.8%
4.08 1
3.8%
3.96 1
3.8%
3.87 1
3.8%
3.81 1
3.8%
3.73 1
3.8%
3.71 2
7.7%
3.69 1
3.8%
3.61 1
3.8%
3.6 1
3.8%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4484615
Minimum2.85
Maximum4.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:14.053044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.85
5-th percentile3.0425
Q13.2075
median3.45
Q33.59
95-th percentile4.005
Maximum4.09
Range1.24
Interquartile range (IQR)0.3825

Descriptive statistics

Standard deviation0.30304709
Coefficient of variation (CV)0.087878924
Kurtosis-0.013245356
Mean3.4484615
Median Absolute Deviation (MAD)0.18
Skewness0.26959764
Sum89.66
Variance0.091837538
MonotonicityNot monotonic
2023-12-12T18:08:14.236231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.59 2
 
7.7%
3.58 2
 
7.7%
3.31 2
 
7.7%
3.18 2
 
7.7%
3.36 1
 
3.8%
2.85 1
 
3.8%
3.53 1
 
3.8%
3.78 1
 
3.8%
3.02 1
 
3.8%
3.14 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
2.85 1
3.8%
3.02 1
3.8%
3.11 1
3.8%
3.12 1
3.8%
3.14 1
3.8%
3.18 2
7.7%
3.29 1
3.8%
3.31 2
7.7%
3.36 1
3.8%
3.41 1
3.8%
ValueCountFrequency (%)
4.09 1
3.8%
4.07 1
3.8%
3.81 1
3.8%
3.78 1
3.8%
3.67 1
3.8%
3.65 1
3.8%
3.59 2
7.7%
3.58 2
7.7%
3.54 1
3.8%
3.53 1
3.8%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2869231
Minimum2.37
Maximum4.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:14.417914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.37
5-th percentile2.5075
Q13.045
median3.305
Q33.4775
95-th percentile3.89
Maximum4.07
Range1.7
Interquartile range (IQR)0.4325

Descriptive statistics

Standard deviation0.40074699
Coefficient of variation (CV)0.12192162
Kurtosis0.68496749
Mean3.2869231
Median Absolute Deviation (MAD)0.24
Skewness-0.41557821
Sum85.46
Variance0.16059815
MonotonicityNot monotonic
2023-12-12T18:08:14.608483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.28 2
 
7.7%
3.04 2
 
7.7%
2.37 1
 
3.8%
3.38 1
 
3.8%
3.27 1
 
3.8%
3.62 1
 
3.8%
3.44 1
 
3.8%
3.33 1
 
3.8%
2.4 1
 
3.8%
3.06 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
2.37 1
3.8%
2.4 1
3.8%
2.83 1
3.8%
2.98 1
3.8%
3.03 1
3.8%
3.04 2
7.7%
3.06 1
3.8%
3.07 1
3.8%
3.23 1
3.8%
3.27 1
3.8%
ValueCountFrequency (%)
4.07 1
3.8%
3.92 1
3.8%
3.8 1
3.8%
3.76 1
3.8%
3.62 1
3.8%
3.52 1
3.8%
3.48 1
3.8%
3.47 1
3.8%
3.44 1
3.8%
3.4 1
3.8%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5811538
Minimum3.2
Maximum4.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:14.796065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.21
Q13.2925
median3.535
Q33.8075
95-th percentile4.1075
Maximum4.13
Range0.93
Interquartile range (IQR)0.515

Descriptive statistics

Standard deviation0.30819899
Coefficient of variation (CV)0.086061365
Kurtosis-1.1809417
Mean3.5811538
Median Absolute Deviation (MAD)0.265
Skewness0.35489486
Sum93.11
Variance0.094986615
MonotonicityNot monotonic
2023-12-12T18:08:14.973556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4.13 2
 
7.7%
3.21 2
 
7.7%
3.47 1
 
3.8%
3.31 1
 
3.8%
3.91 1
 
3.8%
3.98 1
 
3.8%
3.25 1
 
3.8%
3.3 1
 
3.8%
3.36 1
 
3.8%
3.8 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
3.2 1
3.8%
3.21 2
7.7%
3.24 1
3.8%
3.25 1
3.8%
3.27 1
3.8%
3.29 1
3.8%
3.3 1
3.8%
3.31 1
3.8%
3.36 1
3.8%
3.47 1
3.8%
ValueCountFrequency (%)
4.13 2
7.7%
4.04 1
3.8%
3.98 1
3.8%
3.91 1
3.8%
3.89 1
3.8%
3.81 1
3.8%
3.8 1
3.8%
3.72 1
3.8%
3.69 1
3.8%
3.67 1
3.8%
Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2761538
Minimum3.88
Maximum4.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:15.130139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.88
5-th percentile3.9575
Q14.02
median4.325
Q34.4
95-th percentile4.59
Maximum4.66
Range0.78
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.22870202
Coefficient of variation (CV)0.053483114
Kurtosis-1.092229
Mean4.2761538
Median Absolute Deviation (MAD)0.165
Skewness-0.21695572
Sum111.18
Variance0.052304615
MonotonicityNot monotonic
2023-12-12T18:08:15.332659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4.31 3
 
11.5%
4.59 2
 
7.7%
4.36 2
 
7.7%
4.4 2
 
7.7%
4.02 2
 
7.7%
3.98 2
 
7.7%
3.88 1
 
3.8%
3.95 1
 
3.8%
4.34 1
 
3.8%
3.99 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
3.88 1
 
3.8%
3.95 1
 
3.8%
3.98 2
7.7%
3.99 1
 
3.8%
4.01 1
 
3.8%
4.02 2
7.7%
4.18 1
 
3.8%
4.31 3
11.5%
4.32 1
 
3.8%
4.33 1
 
3.8%
ValueCountFrequency (%)
4.66 1
3.8%
4.59 2
7.7%
4.56 1
3.8%
4.51 1
3.8%
4.45 1
3.8%
4.4 2
7.7%
4.37 1
3.8%
4.36 2
7.7%
4.34 1
3.8%
4.33 1
3.8%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2984615
Minimum3.92
Maximum4.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:15.495024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.92
5-th percentile3.935
Q14.0825
median4.33
Q34.45
95-th percentile4.675
Maximum4.71
Range0.79
Interquartile range (IQR)0.3675

Descriptive statistics

Standard deviation0.2410592
Coefficient of variation (CV)0.056080344
Kurtosis-1.01703
Mean4.2984615
Median Absolute Deviation (MAD)0.19
Skewness-0.081151814
Sum111.76
Variance0.058109538
MonotonicityNot monotonic
2023-12-12T18:08:15.679896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4.22 2
 
7.7%
4.39 2
 
7.7%
4.45 2
 
7.7%
4.52 2
 
7.7%
4.66 1
 
3.8%
4.09 1
 
3.8%
3.95 1
 
3.8%
4.54 1
 
3.8%
4.08 1
 
3.8%
3.98 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
3.92 1
3.8%
3.93 1
3.8%
3.95 1
3.8%
3.98 1
3.8%
4.0 1
3.8%
4.03 1
3.8%
4.08 1
3.8%
4.09 1
3.8%
4.22 2
7.7%
4.29 1
3.8%
ValueCountFrequency (%)
4.71 1
3.8%
4.68 1
3.8%
4.66 1
3.8%
4.54 1
3.8%
4.52 2
7.7%
4.45 2
7.7%
4.42 1
3.8%
4.39 2
7.7%
4.36 1
3.8%
4.35 1
3.8%
Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.165
Minimum3.71
Maximum4.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:15.857708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.71
5-th percentile3.725
Q13.91
median4.265
Q34.33
95-th percentile4.65
Maximum4.74
Range1.03
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.29126277
Coefficient of variation (CV)0.069931037
Kurtosis-0.72722192
Mean4.165
Median Absolute Deviation (MAD)0.18
Skewness0.026553498
Sum108.29
Variance0.084834
MonotonicityNot monotonic
2023-12-12T18:08:15.993816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4.33 3
 
11.5%
3.71 2
 
7.7%
4.2 2
 
7.7%
4.32 2
 
7.7%
3.81 2
 
7.7%
4.74 1
 
3.8%
3.94 1
 
3.8%
3.9 1
 
3.8%
4.31 1
 
3.8%
3.77 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
3.71 2
7.7%
3.77 1
3.8%
3.81 2
7.7%
3.85 1
3.8%
3.9 1
3.8%
3.94 1
3.8%
3.95 1
3.8%
4.0 1
3.8%
4.2 2
7.7%
4.26 1
3.8%
ValueCountFrequency (%)
4.74 1
 
3.8%
4.71 1
 
3.8%
4.47 1
 
3.8%
4.42 1
 
3.8%
4.34 1
 
3.8%
4.33 3
11.5%
4.32 2
7.7%
4.31 1
 
3.8%
4.29 1
 
3.8%
4.27 1
 
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2092308
Minimum3.79
Maximum4.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:16.121430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.79
5-th percentile3.795
Q14.0225
median4.27
Q34.345
95-th percentile4.625
Maximum4.67
Range0.88
Interquartile range (IQR)0.3225

Descriptive statistics

Standard deviation0.27307029
Coefficient of variation (CV)0.064874156
Kurtosis-1.0096348
Mean4.2092308
Median Absolute Deviation (MAD)0.24
Skewness-0.057757575
Sum109.44
Variance0.074567385
MonotonicityNot monotonic
2023-12-12T18:08:16.279018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.53 2
 
7.7%
4.29 2
 
7.7%
3.79 2
 
7.7%
4.03 1
 
3.8%
4.51 1
 
3.8%
4.26 1
 
3.8%
4.12 1
 
3.8%
4.1 1
 
3.8%
3.82 1
 
3.8%
3.85 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3.79 2
7.7%
3.81 1
3.8%
3.82 1
3.8%
3.85 1
3.8%
3.95 1
3.8%
4.02 1
3.8%
4.03 1
3.8%
4.06 1
3.8%
4.1 1
3.8%
4.12 1
3.8%
ValueCountFrequency (%)
4.67 1
3.8%
4.65 1
3.8%
4.55 1
3.8%
4.53 2
7.7%
4.51 1
3.8%
4.35 1
3.8%
4.33 1
3.8%
4.32 1
3.8%
4.3 1
3.8%
4.29 2
7.7%
Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1907692
Minimum3.6
Maximum4.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:16.450962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile3.7975
Q13.9425
median4.2
Q34.4625
95-th percentile4.615
Maximum4.89
Range1.29
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.31293351
Coefficient of variation (CV)0.074672094
Kurtosis-0.41939777
Mean4.1907692
Median Absolute Deviation (MAD)0.285
Skewness0.2134462
Sum108.96
Variance0.097927385
MonotonicityNot monotonic
2023-12-12T18:08:16.655508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.85 3
 
11.5%
4.19 2
 
7.7%
4.52 2
 
7.7%
4.2 2
 
7.7%
4.51 2
 
7.7%
4.6 1
 
3.8%
4.62 1
 
3.8%
4.23 1
 
3.8%
4.32 1
 
3.8%
4.0 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
3.6 1
 
3.8%
3.79 1
 
3.8%
3.82 1
 
3.8%
3.85 3
11.5%
3.94 1
 
3.8%
3.95 1
 
3.8%
4.0 1
 
3.8%
4.1 1
 
3.8%
4.19 2
7.7%
4.2 2
7.7%
ValueCountFrequency (%)
4.89 1
3.8%
4.62 1
3.8%
4.6 1
3.8%
4.52 2
7.7%
4.51 2
7.7%
4.32 1
3.8%
4.26 1
3.8%
4.24 1
3.8%
4.23 1
3.8%
4.21 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1680769
Minimum3.76
Maximum4.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:16.859496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.76
5-th percentile3.785
Q13.9275
median4.21
Q34.3075
95-th percentile4.5275
Maximum4.55
Range0.79
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.24633342
Coefficient of variation (CV)0.059100018
Kurtosis-1.0661687
Mean4.1680769
Median Absolute Deviation (MAD)0.22
Skewness-0.16883019
Sum108.37
Variance0.060680154
MonotonicityNot monotonic
2023-12-12T18:08:17.346080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.88 2
 
7.7%
4.26 2
 
7.7%
4.21 2
 
7.7%
4.47 1
 
3.8%
3.83 1
 
3.8%
4.19 1
 
3.8%
4.41 1
 
3.8%
3.95 1
 
3.8%
3.85 1
 
3.8%
3.77 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3.76 1
3.8%
3.77 1
3.8%
3.83 1
3.8%
3.85 1
3.8%
3.88 2
7.7%
3.92 1
3.8%
3.95 1
3.8%
4.08 1
3.8%
4.16 1
3.8%
4.17 1
3.8%
ValueCountFrequency (%)
4.55 1
3.8%
4.53 1
3.8%
4.52 1
3.8%
4.47 1
3.8%
4.45 1
3.8%
4.41 1
3.8%
4.32 1
3.8%
4.27 1
3.8%
4.26 2
7.7%
4.25 1
3.8%
Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4084615
Minimum3.85
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:17.532394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.85
5-th percentile4.125
Q14.24
median4.415
Q34.5575
95-th percentile4.6975
Maximum4.8
Range0.95
Interquartile range (IQR)0.3175

Descriptive statistics

Standard deviation0.21530801
Coefficient of variation (CV)0.048839716
Kurtosis0.37349278
Mean4.4084615
Median Absolute Deviation (MAD)0.175
Skewness-0.41757131
Sum114.62
Variance0.046357538
MonotonicityNot monotonic
2023-12-12T18:08:17.686958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.4 2
 
7.7%
4.24 2
 
7.7%
4.46 2
 
7.7%
4.56 1
 
3.8%
3.85 1
 
3.8%
4.6 1
 
3.8%
4.69 1
 
3.8%
4.8 1
 
3.8%
4.23 1
 
3.8%
4.21 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3.85 1
3.8%
4.1 1
3.8%
4.2 1
3.8%
4.21 1
3.8%
4.22 1
3.8%
4.23 1
3.8%
4.24 2
7.7%
4.3 1
3.8%
4.35 1
3.8%
4.36 1
3.8%
ValueCountFrequency (%)
4.8 1
3.8%
4.7 1
3.8%
4.69 1
3.8%
4.66 1
3.8%
4.62 1
3.8%
4.6 1
3.8%
4.56 1
3.8%
4.55 1
3.8%
4.52 1
3.8%
4.47 1
3.8%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2188462
Minimum3.5
Maximum4.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:17.829805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.815
Q13.98
median4.285
Q34.395
95-th percentile4.5875
Maximum4.67
Range1.17
Interquartile range (IQR)0.415

Descriptive statistics

Standard deviation0.2860675
Coefficient of variation (CV)0.067807047
Kurtosis-0.0053709752
Mean4.2188462
Median Absolute Deviation (MAD)0.2
Skewness-0.65358317
Sum109.69
Variance0.081834615
MonotonicityNot monotonic
2023-12-12T18:08:18.008161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.92 2
 
7.7%
4.38 2
 
7.7%
4.6 1
 
3.8%
3.5 1
 
3.8%
3.83 1
 
3.8%
4.29 1
 
3.8%
4.18 1
 
3.8%
4.34 1
 
3.8%
4.01 1
 
3.8%
3.81 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
3.5 1
3.8%
3.81 1
3.8%
3.83 1
3.8%
3.88 1
3.8%
3.92 2
7.7%
3.97 1
3.8%
4.01 1
3.8%
4.18 1
3.8%
4.2 1
3.8%
4.21 1
3.8%
ValueCountFrequency (%)
4.67 1
3.8%
4.6 1
3.8%
4.55 1
3.8%
4.5 1
3.8%
4.49 1
3.8%
4.48 1
3.8%
4.4 1
3.8%
4.38 2
7.7%
4.34 1
3.8%
4.33 1
3.8%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4942308
Minimum4.1
Maximum4.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:18.134589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile4.215
Q14.39
median4.485
Q34.64
95-th percentile4.7475
Maximum4.78
Range0.68
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.17323217
Coefficient of variation (CV)0.038545455
Kurtosis-0.25826657
Mean4.4942308
Median Absolute Deviation (MAD)0.13
Skewness-0.33111621
Sum116.85
Variance0.030009385
MonotonicityNot monotonic
2023-12-12T18:08:18.300776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4.46 2
 
7.7%
4.47 2
 
7.7%
4.49 2
 
7.7%
4.64 2
 
7.7%
4.67 1
 
3.8%
4.28 1
 
3.8%
4.2 1
 
3.8%
4.78 1
 
3.8%
4.38 1
 
3.8%
4.35 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
4.1 1
3.8%
4.2 1
3.8%
4.26 1
3.8%
4.28 1
3.8%
4.35 1
3.8%
4.37 1
3.8%
4.38 1
3.8%
4.42 1
3.8%
4.46 2
7.7%
4.47 2
7.7%
ValueCountFrequency (%)
4.78 1
3.8%
4.76 1
3.8%
4.71 1
3.8%
4.69 1
3.8%
4.67 1
3.8%
4.65 1
3.8%
4.64 2
7.7%
4.61 1
3.8%
4.52 1
3.8%
4.5 1
3.8%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3276923
Minimum3.92
Maximum4.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T18:08:18.465003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.92
5-th percentile3.9575
Q14.165
median4.365
Q34.5175
95-th percentile4.625
Maximum4.71
Range0.79
Interquartile range (IQR)0.3525

Descriptive statistics

Standard deviation0.23356897
Coefficient of variation (CV)0.053970788
Kurtosis-0.9836043
Mean4.3276923
Median Absolute Deviation (MAD)0.205
Skewness-0.2202933
Sum112.52
Variance0.054554462
MonotonicityNot monotonic
2023-12-12T18:08:18.613462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4.61 2
 
7.7%
4.27 2
 
7.7%
4.4 2
 
7.7%
4.42 2
 
7.7%
4.3 1
 
3.8%
4.05 1
 
3.8%
4.14 1
 
3.8%
4.25 1
 
3.8%
3.98 1
 
3.8%
4.0 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
3.92 1
3.8%
3.95 1
3.8%
3.98 1
3.8%
4.0 1
3.8%
4.05 1
3.8%
4.07 1
3.8%
4.14 1
3.8%
4.24 1
3.8%
4.25 1
3.8%
4.27 2
7.7%
ValueCountFrequency (%)
4.71 1
3.8%
4.63 1
3.8%
4.61 2
7.7%
4.6 1
3.8%
4.59 1
3.8%
4.55 1
3.8%
4.42 2
7.7%
4.41 1
3.8%
4.4 2
7.7%
4.38 1
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2022-08-11
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-11
2nd row2022-08-11
3rd row2022-08-11
4th row2022-08-11
5th row2022-08-11

Common Values

ValueCountFrequency (%)
2022-08-11 26
100.0%

Length

2023-12-12T18:08:18.780715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:08:18.896136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-11 26
100.0%

Sample

동별조사년도삶의 질 인식마을 건강수준 인식본인 건강수준 인식가족 건강수준 인식전체 일반환경 인식사회보장과 복지 인식일과 생활의 균형 인식자녀양육과 교육 인식고용 및 경제 인식주거환경 인식자연환경 및 재난인식문화와 여가 인식이웃과의 교류 인식전체 건강환경 인식흡연 및 음주환경 인식의료서비스 접근성 인식신체활동 및 운동환경 인식감염질환 대처성 인식만성질환 관리 인식정신질환 치료 인식과일 및 채소구입환경 인식건강문제 중요도_전체건강문제 중요도_금연건강문제 중요도_절주건강문제 중요도_신체활동 및 비만예방건강문제 중요도_영양건강문제 중요도_구강보건건강문제 중요도_심뇌혈관질환 예방관리건강문제 중요도_모자보건건강문제 중요도_치매건강문제 중요도_취약계층 건강데이터기준일자
0충장동20203.223.052.663.213.053.223.192.913.03.053.243.332.443.222.143.663.163.53.363.283.474.594.664.744.534.514.474.564.64.674.612022-08-11
1동명동20203.483.363.423.473.523.763.453.423.064.393.553.483.03.352.123.913.583.733.483.393.244.564.524.424.554.524.454.74.554.764.612022-08-11
2계림1동20203.393.313.383.523.493.683.563.343.263.63.713.423.373.52.623.673.673.613.593.473.894.314.354.24.284.264.174.44.284.464.352022-08-11
3계림2동20203.683.583.223.23.513.723.643.63.093.53.743.323.473.432.953.593.753.493.423.283.54.184.224.04.034.04.084.354.264.464.272022-08-11
4산수1동20203.553.533.653.883.293.393.353.262.93.473.653.213.113.722.843.93.793.813.813.764.134.594.684.474.534.64.534.664.54.694.632022-08-11
5산수2동20203.443.283.433.623.243.353.363.253.013.423.513.212.783.412.653.773.463.523.543.233.694.324.294.264.294.194.254.44.314.474.382022-08-11
6지산1동20203.743.163.033.343.383.773.553.263.063.653.713.323.683.592.394.193.713.873.653.523.814.514.394.294.654.524.554.554.484.614.62022-08-11
7지산2동20204.03.523.623.533.383.433.573.622.713.623.673.243.193.562.673.953.763.713.673.483.674.664.714.714.674.624.524.624.674.714.712022-08-11
8서남동20203.553.433.453.63.613.773.593.413.273.83.893.773.363.752.324.253.864.144.094.073.554.374.424.334.354.234.264.474.44.494.42022-08-11
9학 동20203.773.613.493.583.633.773.73.423.393.893.863.663.333.92.914.313.964.084.073.924.044.44.394.334.324.324.324.434.384.644.422022-08-11
동별조사년도삶의 질 인식마을 건강수준 인식본인 건강수준 인식가족 건강수준 인식전체 일반환경 인식사회보장과 복지 인식일과 생활의 균형 인식자녀양육과 교육 인식고용 및 경제 인식주거환경 인식자연환경 및 재난인식문화와 여가 인식이웃과의 교류 인식전체 건강환경 인식흡연 및 음주환경 인식의료서비스 접근성 인식신체활동 및 운동환경 인식감염질환 대처성 인식만성질환 관리 인식정신질환 치료 인식과일 및 채소구입환경 인식건강문제 중요도_전체건강문제 중요도_금연건강문제 중요도_절주건강문제 중요도_신체활동 및 비만예방건강문제 중요도_영양건강문제 중요도_구강보건건강문제 중요도_심뇌혈관질환 예방관리건강문제 중요도_모자보건건강문제 중요도_치매건강문제 중요도_취약계층 건강데이터기준일자
16계림2동20213.453.233.443.543.213.433.33.462.913.513.343.212.553.363.133.433.813.283.293.073.524.024.093.813.953.793.764.23.974.284.242022-08-11
17산수1동20213.373.23.683.613.33.513.423.242.963.443.443.333.083.373.123.483.653.273.143.063.84.014.03.953.813.853.924.223.814.264.272022-08-11
18산수2동20213.323.172.893.083.153.243.153.242.793.313.362.963.173.243.143.583.213.163.183.043.364.024.033.774.063.823.774.244.014.424.072022-08-11
19지산1동20213.373.282.793.43.173.713.143.362.763.263.212.982.93.042.953.143.43.053.022.43.34.364.364.314.294.244.214.464.344.54.552022-08-11
20지산2동20213.443.273.173.473.213.363.213.173.023.473.553.232.683.223.043.293.383.233.313.043.253.983.983.813.853.853.854.213.924.354.02022-08-11
21서남동20213.12.983.863.952.893.153.022.852.542.512.853.053.123.312.643.833.413.483.313.333.213.994.083.93.823.63.954.233.924.383.982022-08-11
22학 동20213.633.363.183.183.483.53.473.763.223.653.843.453.03.83.284.193.823.963.783.444.134.364.223.944.14.894.414.84.184.494.252022-08-11
23학운동20213.883.643.583.613.763.943.923.533.583.883.923.623.733.763.743.923.883.63.583.623.984.344.544.324.123.944.194.694.294.784.142022-08-11
24지원1동20213.73.653.263.173.633.673.533.533.163.883.913.633.783.623.443.773.733.713.533.273.914.44.524.324.264.214.264.64.384.644.422022-08-11
25지원2동20213.753.783.523.653.523.673.393.413.243.793.773.423.443.473.53.193.833.583.583.383.213.953.953.713.793.953.834.243.834.24.052022-08-11