Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory66.0 B

Variable types

Numeric4
Categorical1
Text2

Dataset

Description인천광역시 미추홀구의 명예사회복지공무원 협약기관 현황 데이터로 협약일,기관명,협약인원에 대한 데이터를 제공합니다
URLhttps://www.data.go.kr/data/15081954/fileData.do

Alerts

인원 is highly overall correlated with 협약일High correlation
협약일 is highly overall correlated with 인원High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:22:58.334500
Analysis finished2023-12-12 13:23:00.475515
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:23:00.533748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T22:23:00.648159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

협약일
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2019-02-07
11 
2019-04-16
3 
2019-07-30
2 
2023-03-07
2 
2020-02-13
 
1
Other values (3)
3 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)18.2%

Sample

1st row2019-02-07
2nd row2019-02-07
3rd row2019-02-07
4th row2019-02-07
5th row2019-02-07

Common Values

ValueCountFrequency (%)
2019-02-07 11
50.0%
2019-04-16 3
 
13.6%
2019-07-30 2
 
9.1%
2023-03-07 2
 
9.1%
2020-02-13 1
 
4.5%
2020-08-20 1
 
4.5%
2021-05-06 1
 
4.5%
2023-03-06 1
 
4.5%

Length

2023-12-12T22:23:00.792998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:23:00.913356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-02-07 11
50.0%
2019-04-16 3
 
13.6%
2019-07-30 2
 
9.1%
2023-03-07 2
 
9.1%
2020-02-13 1
 
4.5%
2020-08-20 1
 
4.5%
2021-05-06 1
 
4.5%
2023-03-06 1
 
4.5%

기관명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:23:01.115601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.363636
Min length6

Characters and Unicode

Total characters250
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row숭의종합사회복지관
2nd row인천종합사회복지관
3rd row미추홀종합사회복지관
4th row미추홀노인복지관
5th row인천광역시시각장애인복지관
ValueCountFrequency (%)
한국야쿠르트 3
 
8.8%
경인지점 3
 
8.8%
미추홀지회 2
 
5.9%
숭의종합사회복지관 1
 
2.9%
주안점 1
 
2.9%
nib 1
 
2.9%
제물포지점 1
 
2.9%
한전제물포지사,한전mcs 1
 
2.9%
남인천우체국 1
 
2.9%
인천 1
 
2.9%
Other values (19) 19
55.9%
2023-12-12T22:23:01.441213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 17
 
6.8%
인 17
 
6.8%
12
 
4.8%
사 10
 
4.0%
미 9
 
3.6%
추 9
 
3.6%
홀 9
 
3.6%
복 8
 
3.2%
천 8
 
3.2%
점 7
 
2.8%
Other values (76) 144
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
91.6%
Space Separator 12
 
4.8%
Uppercase Letter 6
 
2.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
S 1
16.7%
N 1
16.7%
I 1
16.7%
B 1
16.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
91.6%
Common 15
 
6.0%
Latin 6
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
Latin
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
S 1
16.7%
N 1
16.7%
I 1
16.7%
B 1
16.7%
Common
ValueCountFrequency (%)
12
80.0%
) 1
 
6.7%
( 1
 
6.7%
, 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
91.6%
ASCII 21
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
ASCII
ValueCountFrequency (%)
12
57.1%
) 1
 
4.8%
( 1
 
4.8%
C 1
 
4.8%
, 1
 
4.8%
M 1
 
4.8%
S 1
 
4.8%
N 1
 
4.8%
I 1
 
4.8%
B 1
 
4.8%

인원
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.454545
Minimum2
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:23:01.585190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.25
Q112.25
median18.5
Q329.25
95-th percentile35.8
Maximum96
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.998063
Coefficient of variation (CV)0.84606759
Kurtosis10.989313
Mean22.454545
Median Absolute Deviation (MAD)9
Skewness2.886534
Sum494
Variance360.92641
MonotonicityNot monotonic
2023-12-12T22:23:01.710202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9 3
13.6%
24 2
 
9.1%
30 2
 
9.1%
32 2
 
9.1%
13 1
 
4.5%
18 1
 
4.5%
96 1
 
4.5%
16 1
 
4.5%
36 1
 
4.5%
2 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
2 1
 
4.5%
4 1
 
4.5%
9 3
13.6%
12 1
 
4.5%
13 1
 
4.5%
15 1
 
4.5%
16 1
 
4.5%
17 1
 
4.5%
18 1
 
4.5%
19 1
 
4.5%
ValueCountFrequency (%)
96 1
4.5%
36 1
4.5%
32 2
9.1%
30 2
9.1%
27 1
4.5%
24 2
9.1%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:23:01.921522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21.5
Mean length20.454545
Min length17

Characters and Unicode

Total characters450
Distinct characters61
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 독배로 485
2nd row인천광역시 미추홀구 매소홀로418번길 14-57
3rd row인천광역시 미추홀구 염창로 97
4th row인천광역시 미추홀구 학익소로37번길 17
5th row인천광역시 미추홀구 한나루로357번길 105-19
ValueCountFrequency (%)
인천광역시 22
23.7%
미추홀구 21
22.6%
독정이로9번길 2
 
2.2%
미추홀대로 2
 
2.2%
3-14 1
 
1.1%
95 1
 
1.1%
29 1
 
1.1%
토금북로57번길 1
 
1.1%
19 1
 
1.1%
주안중로 1
 
1.1%
Other values (40) 40
43.0%
2023-12-12T22:23:02.376093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
15.8%
인 24
 
5.3%
홀 24
 
5.3%
미 23
 
5.1%
추 23
 
5.1%
광 22
 
4.9%
역 22
 
4.9%
시 22
 
4.9%
구 22
 
4.9%
천 22
 
4.9%
Other values (51) 175
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
66.9%
Decimal Number 75
 
16.7%
Space Separator 71
 
15.8%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%
Decimal Number
ValueCountFrequency (%)
1 12
16.0%
5 10
13.3%
9 10
13.3%
7 10
13.3%
4 10
13.3%
2 8
10.7%
8 5
6.7%
3 5
6.7%
6 3
 
4.0%
0 2
 
2.7%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
66.9%
Common 149
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%
Common
ValueCountFrequency (%)
71
47.7%
1 12
 
8.1%
5 10
 
6.7%
9 10
 
6.7%
7 10
 
6.7%
4 10
 
6.7%
2 8
 
5.4%
8 5
 
3.4%
3 5
 
3.4%
6 3
 
2.0%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
66.9%
ASCII 149
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
47.7%
1 12
 
8.1%
5 10
 
6.7%
9 10
 
6.7%
7 10
 
6.7%
4 10
 
6.7%
2 8
 
5.4%
8 5
 
3.4%
3 5
 
3.4%
6 3
 
2.0%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.457128
Minimum37.438118
Maximum37.475245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:23:02.571553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438118
5-th percentile37.438988
Q137.451096
median37.4587
Q337.463158
95-th percentile37.469924
Maximum37.475245
Range0.0371276
Interquartile range (IQR)0.012061805

Descriptive statistics

Standard deviation0.0096003581
Coefficient of variation (CV)0.00025630257
Kurtosis-0.12994475
Mean37.457128
Median Absolute Deviation (MAD)0.006034935
Skewness-0.34808048
Sum824.05682
Variance9.2166876 × 10-5
MonotonicityNot monotonic
2023-12-12T22:23:02.976327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.46064895 1
 
4.5%
37.45389211 1
 
4.5%
37.45996002 1
 
4.5%
37.469989 1
 
4.5%
37.46052627 1
 
4.5%
37.45710184 1
 
4.5%
37.45169916 1
 
4.5%
37.46869342 1
 
4.5%
37.45055575 1
 
4.5%
37.46219786 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.43811766 1
4.5%
37.43866722 1
4.5%
37.44507738 1
4.5%
37.44625854 1
4.5%
37.45055575 1
4.5%
37.45089504 1
4.5%
37.45169916 1
4.5%
37.45389211 1
4.5%
37.45694803 1
4.5%
37.45710184 1
4.5%
ValueCountFrequency (%)
37.47524526 1
4.5%
37.469989 1
4.5%
37.46869342 1
4.5%
37.46559847 1
4.5%
37.46387063 1
4.5%
37.46347788 1
4.5%
37.46219786 1
4.5%
37.46064895 1
4.5%
37.46052627 1
4.5%
37.45996002 1
4.5%

경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66614
Minimum126.63314
Maximum126.69643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:23:03.116251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63314
5-th percentile126.64075
Q1126.65208
median126.66374
Q3126.68052
95-th percentile126.69144
Maximum126.69643
Range0.0632922
Interquartile range (IQR)0.028443425

Descriptive statistics

Standard deviation0.018369623
Coefficient of variation (CV)0.00014502394
Kurtosis-1.1458706
Mean126.66614
Median Absolute Deviation (MAD)0.0156339
Skewness-0.057078702
Sum2786.6551
Variance0.00033744304
MonotonicityNot monotonic
2023-12-12T22:23:03.240527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
126.645004 1
 
4.5%
126.6406502 1
 
4.5%
126.6780934 1
 
4.5%
126.660277 1
 
4.5%
126.6964311 1
 
4.5%
126.6517186 1
 
4.5%
126.6800334 1
 
4.5%
126.6602394 1
 
4.5%
126.6331389 1
 
4.5%
126.6806843 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.6331389 1
4.5%
126.6406502 1
4.5%
126.6426622 1
4.5%
126.645004 1
4.5%
126.6500013 1
4.5%
126.6517186 1
4.5%
126.6531568 1
4.5%
126.6560275 1
4.5%
126.6602394 1
4.5%
126.660277 1
4.5%
ValueCountFrequency (%)
126.6964311 1
4.5%
126.6914966 1
4.5%
126.6903305 1
4.5%
126.6849558 1
4.5%
126.6828714 1
4.5%
126.6806843 1
4.5%
126.6800334 1
4.5%
126.6787096 1
4.5%
126.6780934 1
4.5%
126.6711736 1
4.5%

Interactions

2023-12-12T22:22:59.748118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:58.621559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:58.996059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.376392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.865518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:58.714903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.085970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.471385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.985345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:58.797734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.174103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.555118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:00.131450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:58.898732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.276583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:59.647413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:23:03.347122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번협약일기관명인원도로명주소위도경도
연번1.0000.7491.0000.0001.0000.0000.000
협약일0.7491.0001.0000.7491.0000.0000.000
기관명1.0001.0001.0001.0001.0001.0001.000
인원0.0000.7491.0001.0001.0000.7530.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
위도0.0000.0001.0000.7531.0001.0000.869
경도0.0000.0001.0000.0001.0000.8691.000
2023-12-12T22:23:03.448963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인원위도경도협약일
연번1.0000.4450.257-0.0040.423
인원0.4451.0000.0590.0590.522
위도0.2570.0591.0000.0480.000
경도-0.0040.0590.0481.0000.000
협약일0.4230.5220.0000.0001.000

Missing values

2023-12-12T22:23:00.293782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:23:00.414024image/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

연번협약일기관명인원도로명주소위도경도
012019-02-07숭의종합사회복지관13인천광역시 미추홀구 독배로 48537.460649126.645004
122019-02-07인천종합사회복지관9인천광역시 미추홀구 매소홀로418번길 14-5737.438667126.66683
232019-02-07미추홀종합사회복지관12인천광역시 미추홀구 염창로 9737.465598126.684956
342019-02-07미추홀노인복지관20인천광역시 미추홀구 학익소로37번길 1737.445077126.671174
452019-02-07인천광역시시각장애인복지관24인천광역시 미추홀구 한나루로357번길 105-1937.438118126.656027
562019-02-07미추홀지역자활센터9인천광역시 미추홀구 인주대로 493 영훈빌딩 3층37.450895126.691497
672019-02-07희망지역자활센터9인천광역시 미추홀구 송림로 249 4층37.475245126.660645
782019-02-07미추홀장애인종합복지관30인천광역시 미추홀구 경원대로 71437.446259126.690331
892019-02-07미추홀구청소년상담복지센터19인천광역시 미추홀구 주안로 82 5층37.463871126.67871
9102019-02-07미추홀구 가족센터27인천광역시 미추홀구 낙섬중로 12937.45826126.642662
연번협약일기관명인원도로명주소위도경도
12132019-04-16한국야쿠르트 경인지점 인하점32인천광역시 미추홀구 토금북로57번길 1937.453892126.64065
13142019-04-16한국야쿠르트 경인지점 주안점18인천광역시 미추홀구 주안중로 837.459139126.682871
14152019-07-30인천사랑병원4인천광역시 미추홀구 미추홀대로 72637.462198126.680684
15162019-07-30인천사랑노인요양원2인천광역시 미추홀구 낙섬서로 3-1437.450556126.633139
16172020-02-13인천광역시상수도사업본부36인천광역시 미추홀구 석정로 22537.468693126.660239
17182020-08-20한국공인중개사협회 미추홀지회24인천광역시 미추홀구 미추홀대로 61037.451699126.680033
18192021-05-06(사)한국이용사회 인천 미추홀지회16인천광역시 미추홀구 독정이로9번길 5637.457102126.651719
19202023-03-06남인천우체국96인천광역시 남동구 경인로 51437.460526126.696431
20212023-03-07한전제물포지사,한전MCS 제물포지점32인천광역시 미추홀구 숙골로 87번길 2737.469989126.660277
21222023-03-07NIB 남인천방송30인천광역시 미추홀구 주안서로 1437.45996126.678093