Overview

Dataset statistics

Number of variables11
Number of observations696
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.0 KiB
Average record size in memory94.2 B

Variable types

Numeric5
Categorical6

Dataset

Description대전광역시 서구 행정동별 연월별 유동인구현황(기준년, 기준월, 행정동코드, 행정동명, 성별코드, 성별, 유동인구수, 시간당 평균 유동인구수 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15109036/fileData.do

Alerts

기준년 has constant value ""Constant
데이터생성일자 has constant value ""Constant
성별 is highly overall correlated with 성별코드High correlation
성별코드 is highly overall correlated with 성별High correlation
순번 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
상권코드 is highly overall correlated with 상권명 and 1 other fieldsHigh correlation
행정동코드 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
상권명 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
행정동명 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:35:42.516239
Analysis finished2023-12-12 13:35:46.493183
Duration3.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct696
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348.5
Minimum1
Maximum696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T22:35:46.587900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.75
Q1174.75
median348.5
Q3522.25
95-th percentile661.25
Maximum696
Range695
Interquartile range (IQR)347.5

Descriptive statistics

Standard deviation201.06218
Coefficient of variation (CV)0.57693595
Kurtosis-1.2
Mean348.5
Median Absolute Deviation (MAD)174
Skewness0
Sum242556
Variance40426
MonotonicityNot monotonic
2023-12-12T22:35:46.750154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367 1
 
0.1%
218 1
 
0.1%
537 1
 
0.1%
538 1
 
0.1%
655 1
 
0.1%
654 1
 
0.1%
376 1
 
0.1%
375 1
 
0.1%
216 1
 
0.1%
215 1
 
0.1%
Other values (686) 686
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
696 1
0.1%
695 1
0.1%
694 1
0.1%
693 1
0.1%
692 1
0.1%
691 1
0.1%
690 1
0.1%
689 1
0.1%
688 1
0.1%
687 1
0.1%

기준년
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2021
696 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 696
100.0%

Length

2023-12-12T22:35:46.923589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:47.024437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 696
100.0%

기준월
Real number (ℝ)

Distinct12
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T22:35:47.148743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4545351
Coefficient of variation (CV)0.53146694
Kurtosis-1.2168994
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum4524
Variance11.933813
MonotonicityIncreasing
2023-12-12T22:35:47.278703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 58
8.3%
2 58
8.3%
3 58
8.3%
4 58
8.3%
5 58
8.3%
6 58
8.3%
7 58
8.3%
8 58
8.3%
9 58
8.3%
10 58
8.3%
Other values (2) 116
16.7%
ValueCountFrequency (%)
1 58
8.3%
2 58
8.3%
3 58
8.3%
4 58
8.3%
5 58
8.3%
6 58
8.3%
7 58
8.3%
8 58
8.3%
9 58
8.3%
10 58
8.3%
ValueCountFrequency (%)
12 58
8.3%
11 58
8.3%
10 58
8.3%
9 58
8.3%
8 58
8.3%
7 58
8.3%
6 58
8.3%
5 58
8.3%
4 58
8.3%
3 58
8.3%

상권코드
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8965517
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T22:35:47.384138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median8
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.2322081
Coefficient of variation (CV)0.53595648
Kurtosis-1.3839229
Mean7.8965517
Median Absolute Deviation (MAD)4
Skewness-0.053906318
Sum5496
Variance17.911585
MonotonicityNot monotonic
2023-12-12T22:35:47.488798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 72
10.3%
3 72
10.3%
13 72
10.3%
14 72
10.3%
5 48
 
6.9%
6 48
 
6.9%
7 48
 
6.9%
9 48
 
6.9%
10 48
 
6.9%
11 48
 
6.9%
Other values (4) 120
17.2%
ValueCountFrequency (%)
1 24
 
3.4%
2 72
10.3%
3 72
10.3%
4 24
 
3.4%
5 48
6.9%
6 48
6.9%
7 48
6.9%
8 24
 
3.4%
9 48
6.9%
10 48
6.9%
ValueCountFrequency (%)
14 72
10.3%
13 72
10.3%
12 48
6.9%
11 48
6.9%
10 48
6.9%
9 48
6.9%
8 24
 
3.4%
7 48
6.9%
6 48
6.9%
5 48
6.9%

상권명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
한민시장 주변 상권
72 
롯데백화점 주변 상권
72 
대전시청역 주변 상권
72 
서구 보건소 주변 상권
72 
이마트 둔산점 주변 상권
48 
Other values (9)
360 

Length

Max length23
Median length19
Mean length13.137931
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가수원상점가 주변 상권
2nd row가수원상점가 주변 상권
3rd row한민시장 주변 상권
4th row한민시장 주변 상권
5th row한민시장 주변 상권

Common Values

ValueCountFrequency (%)
한민시장 주변 상권 72
10.3%
롯데백화점 주변 상권 72
10.3%
대전시청역 주변 상권 72
10.3%
서구 보건소 주변 상권 72
10.3%
이마트 둔산점 주변 상권 48
 
6.9%
사학연금회관 뒤편(토요코인호텔) 주변 상권 48
 
6.9%
대주프라자 주변 상권 48
 
6.9%
둔산3동상점가 주변 상권 48
 
6.9%
도마큰시장 주변 상권 48
 
6.9%
이마트 트레이더스 월평점 주변 상권 48
 
6.9%
Other values (4) 120
17.2%

Length

2023-12-12T22:35:47.621730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상권 696
29.6%
주변 696
29.6%
이마트 96
 
4.1%
한민시장 72
 
3.1%
롯데백화점 72
 
3.1%
대전시청역 72
 
3.1%
서구 72
 
3.1%
보건소 72
 
3.1%
도마큰시장 48
 
2.0%
세이디에스탄방점 48
 
2.0%
Other values (10) 408
17.3%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170594 × 109
Minimum3.017052 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T22:35:47.735720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017052 × 109
5-th percentile3.017053 × 109
Q13.017056 × 109
median3.0170588 × 109
Q33.017063 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range14000
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation3854.8263
Coefficient of variation (CV)1.2776766 × 10-6
Kurtosis-1.1327177
Mean3.0170594 × 109
Median Absolute Deviation (MAD)3300
Skewness0.034520413
Sum2.0998733 × 1012
Variance14859685
MonotonicityNot monotonic
2023-12-12T22:35:47.871389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3017064000 120
17.2%
3017055500 96
13.8%
3017063000 72
10.3%
3017058700 48
 
6.9%
3017056000 48
 
6.9%
3017059700 48
 
6.9%
3017059000 24
 
3.4%
3017052000 24
 
3.4%
3017065000 24
 
3.4%
3017058800 24
 
3.4%
Other values (7) 168
24.1%
ValueCountFrequency (%)
3017052000 24
 
3.4%
3017053000 24
 
3.4%
3017055000 24
 
3.4%
3017055500 96
13.8%
3017056000 48
6.9%
3017057000 24
 
3.4%
3017057500 24
 
3.4%
3017058600 24
 
3.4%
3017058700 48
6.9%
3017058800 24
 
3.4%
ValueCountFrequency (%)
3017066000 24
 
3.4%
3017065000 24
 
3.4%
3017064000 120
17.2%
3017063000 72
10.3%
3017059700 48
 
6.9%
3017059600 24
 
3.4%
3017059000 24
 
3.4%
3017058800 24
 
3.4%
3017058700 48
 
6.9%
3017058600 24
 
3.4%

행정동명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
둔산2동
120 
탄방동
96 
둔산1동
72 
월평2동
48 
괴정동
48 
Other values (12)
312 

Length

Max length4
Median length4
Mean length3.6206897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가수원동
2nd row가수원동
3rd row괴정동
4th row괴정동
5th row가장동

Common Values

ValueCountFrequency (%)
둔산2동 120
17.2%
탄방동 96
13.8%
둔산1동 72
10.3%
월평2동 48
 
6.9%
괴정동 48
 
6.9%
관저2동 48
 
6.9%
가수원동 24
 
3.4%
가장동 24
 
3.4%
내동 24
 
3.4%
용문동 24
 
3.4%
Other values (7) 168
24.1%

Length

2023-12-12T22:35:48.018468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 120
17.2%
탄방동 96
13.8%
둔산1동 72
10.3%
월평2동 48
 
6.9%
괴정동 48
 
6.9%
관저2동 48
 
6.9%
월평1동 24
 
3.4%
둔산3동 24
 
3.4%
월평3동 24
 
3.4%
도마2동 24
 
3.4%
Other values (7) 168
24.1%

성별코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
f
348 
m
348 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowf
2nd rowm
3rd rowf
4th rowm
5th rowf

Common Values

ValueCountFrequency (%)
f 348
50.0%
m 348
50.0%

Length

2023-12-12T22:35:48.135329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:48.223433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 348
50.0%
m 348
50.0%

성별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
여성
348 
남성
348 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row여성
4th row남성
5th row여성

Common Values

ValueCountFrequency (%)
여성 348
50.0%
남성 348
50.0%

Length

2023-12-12T22:35:48.323447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:48.426994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 348
50.0%
남성 348
50.0%

비율
Real number (ℝ)

Distinct512
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum41.47
Maximum58.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T22:35:48.546528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.47
5-th percentile45.3225
Q147.7875
median50
Q352.2125
95-th percentile54.6775
Maximum58.53
Range17.06
Interquartile range (IQR)4.425

Descriptive statistics

Standard deviation2.999846
Coefficient of variation (CV)0.05999692
Kurtosis-0.14564432
Mean50
Median Absolute Deviation (MAD)2.215
Skewness0
Sum34800
Variance8.999076
MonotonicityNot monotonic
2023-12-12T22:35:48.707902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.21 4
 
0.6%
47.79 4
 
0.6%
47.62 4
 
0.6%
52.38 4
 
0.6%
49.31 3
 
0.4%
48.15 3
 
0.4%
51.82 3
 
0.4%
50.69 3
 
0.4%
52.96 3
 
0.4%
47.04 3
 
0.4%
Other values (502) 662
95.1%
ValueCountFrequency (%)
41.47 1
0.1%
41.69 1
0.1%
41.8 1
0.1%
42.08 1
0.1%
42.2 1
0.1%
42.25 1
0.1%
42.28 1
0.1%
42.39 1
0.1%
43.06 1
0.1%
43.22 1
0.1%
ValueCountFrequency (%)
58.53 1
0.1%
58.31 1
0.1%
58.2 1
0.1%
57.92 1
0.1%
57.8 1
0.1%
57.75 1
0.1%
57.72 1
0.1%
57.61 1
0.1%
56.94 1
0.1%
56.78 1
0.1%

데이터생성일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-05-10
696 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-10
2nd row2023-05-10
3rd row2023-05-10
4th row2023-05-10
5th row2023-05-10

Common Values

ValueCountFrequency (%)
2023-05-10 696
100.0%

Length

2023-12-12T22:35:48.858164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:48.957001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-10 696
100.0%

Interactions

2023-12-12T22:35:45.666299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.049096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.597464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.123065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.018604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.790598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.165511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.699430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.222659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.130255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.883778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.259063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.807903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.307687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.251244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.994514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.362022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.929110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.769677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.381106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:46.116518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.483185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.032236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:44.901778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:45.529449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:35:49.021094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기준월상권코드상권명행정동코드행정동명성별코드성별비율
순번1.0000.0830.8930.8760.9250.9600.0000.0000.544
기준월0.0831.0000.0000.0000.0000.0000.0000.0000.000
상권코드0.8930.0001.0001.0000.8650.9330.0000.0000.620
상권명0.8760.0001.0001.0000.9410.9510.0000.0000.598
행정동코드0.9250.0000.8650.9411.0001.0000.0000.0000.460
행정동명0.9600.0000.9330.9511.0001.0000.0000.0000.717
성별코드0.0000.0000.0000.0000.0000.0001.0001.0000.431
성별0.0000.0000.0000.0000.0000.0001.0001.0000.431
비율0.5440.0000.6200.5980.4600.7170.4310.4311.000
2023-12-12T22:35:49.120031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별행정동명상권명성별코드
성별1.0000.0000.0000.997
행정동명0.0001.0000.7370.000
상권명0.0000.7371.0000.000
성별코드0.9970.0000.0001.000
2023-12-12T22:35:49.212614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기준월상권코드행정동코드비율상권명행정동명성별코드성별
순번1.0000.0010.2240.995-0.0020.6060.8170.0000.000
기준월0.0011.0000.0000.0000.0000.0000.0000.0000.000
상권코드0.2240.0001.0000.2270.0000.9970.7270.0000.000
행정동코드0.9950.0000.2271.0000.0000.7940.9930.0000.000
비율-0.0020.0000.0000.0001.0000.2900.3760.3300.330
상권명0.6060.0000.9970.7940.2901.0000.7370.0000.000
행정동명0.8170.0000.7270.9930.3760.7371.0000.0000.000
성별코드0.0000.0000.0000.0000.3300.0000.0001.0000.997
성별0.0000.0000.0000.0000.3300.0000.0000.9971.000

Missing values

2023-12-12T22:35:46.279100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:35:46.426066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번기준년기준월상권코드상권명행정동코드행정동명성별코드성별비율데이터생성일자
0367202111가수원상점가 주변 상권3017059000가수원동f여성49.082023-05-10
1365202111가수원상점가 주변 상권3017059000가수원동m남성50.922023-05-10
2213202112한민시장 주변 상권3017056000괴정동f여성49.532023-05-10
3214202112한민시장 주변 상권3017056000괴정동m남성50.472023-05-10
4230202112한민시장 주변 상권3017057000가장동f여성52.412023-05-10
5225202112한민시장 주변 상권3017057000가장동m남성47.592023-05-10
6264202112한민시장 주변 상권3017057500내동f여성51.592023-05-10
7263202112한민시장 주변 상권3017057500내동m남성48.412023-05-10
869202113롯데백화점 주변 상권3017055000용문동f여성52.392023-05-10
967202113롯데백화점 주변 상권3017055000용문동m남성47.612023-05-10
순번기준년기준월상권코드상권명행정동코드행정동명성별코드성별비율데이터생성일자
68647520211213대전시청역 주변 상권3017063000둔산1동f여성48.732023-05-10
68747620211213대전시청역 주변 상권3017063000둔산1동m남성51.272023-05-10
68860520211213대전시청역 주변 상권3017064000둔산2동f여성44.662023-05-10
68960620211213대전시청역 주변 상권3017064000둔산2동m남성55.342023-05-10
69033220211214서구 보건소 주변 상권3017058700월평2동f여성47.282023-05-10
69133120211214서구 보건소 주변 상권3017058700월평2동m남성52.722023-05-10
69263720211214서구 보건소 주변 상권3017064000둔산2동f여성47.142023-05-10
69353320211214서구 보건소 주변 상권3017064000둔산2동m남성52.862023-05-10
69466620211214서구 보건소 주변 상권3017065000만년동f여성47.792023-05-10
69566720211214서구 보건소 주변 상권3017065000만년동m남성52.212023-05-10