Overview

Dataset statistics

Number of variables6
Number of observations539
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory51.2 B

Variable types

Numeric3
Categorical1
Text2

Dataset

Description인천광역시 미추홀구 소재의 축산물 판매업소 현황에 대한 데이터로 연번, 유형, 상호명, 도로명주소, 좌표값 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15060768/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:48:39.927909
Analysis finished2023-12-12 03:48:41.871077
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct539
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270
Minimum1
Maximum539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-12T12:48:41.993428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.9
Q1135.5
median270
Q3404.5
95-th percentile512.1
Maximum539
Range538
Interquartile range (IQR)269

Descriptive statistics

Standard deviation155.74017
Coefficient of variation (CV)0.57681544
Kurtosis-1.2
Mean270
Median Absolute Deviation (MAD)135
Skewness0
Sum145530
Variance24255
MonotonicityStrictly increasing
2023-12-12T12:48:42.189764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
356 1
 
0.2%
370 1
 
0.2%
369 1
 
0.2%
368 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
Other values (529) 529
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
539 1
0.2%
538 1
0.2%
537 1
0.2%
536 1
0.2%
535 1
0.2%
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%

유형
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
식육판매업
236 
식육즉석판매가공업
192 
우유류판매업
65 
축산물유통전문판매업
33 
식용란수집판매업
 
9

Length

Max length10
Median length9
Mean length6.9387755
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육판매업
2nd row우유류판매업
3rd row식육판매업
4th row식육판매업
5th row식육판매업

Common Values

ValueCountFrequency (%)
식육판매업 236
43.8%
식육즉석판매가공업 192
35.6%
우유류판매업 65
 
12.1%
축산물유통전문판매업 33
 
6.1%
식용란수집판매업 9
 
1.7%
식육부산물전문판매업 4
 
0.7%

Length

2023-12-12T12:48:42.360877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:48:42.509627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 236
43.8%
식육즉석판매가공업 192
35.6%
우유류판매업 65
 
12.1%
축산물유통전문판매업 33
 
6.1%
식용란수집판매업 9
 
1.7%
식육부산물전문판매업 4
 
0.7%

상호명
Text

Distinct505
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T12:48:42.871369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.3599258
Min length2

Characters and Unicode

Total characters3428
Distinct characters361
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)88.1%

Sample

1st row종현정육점
2nd row서울우유 용학고객센터
3rd row천복축산물도매센타
4th row대지정육점
5th row주안정육센타
ValueCountFrequency (%)
정육점 15
 
2.2%
축산 13
 
1.9%
주식회사 10
 
1.4%
정육 8
 
1.2%
남양유업 7
 
1.0%
정육코너 5
 
0.7%
서울우유 4
 
0.6%
에치와이 4
 
0.6%
골드축산 3
 
0.4%
하모니마트 3
 
0.4%
Other values (558) 621
89.6%
2023-12-12T12:48:43.428224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
4.5%
점 134
 
3.9%
정 120
 
3.5%
육 117
 
3.4%
산 111
 
3.2%
축 107
 
3.1%
우 95
 
2.8%
트 85
 
2.5%
유 79
 
2.3%
마 68
 
2.0%
Other values (351) 2357
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3120
91.0%
Space Separator 155
 
4.5%
Close Punctuation 50
 
1.5%
Open Punctuation 49
 
1.4%
Uppercase Letter 38
 
1.1%
Decimal Number 8
 
0.2%
Lowercase Letter 6
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 134
 
4.3%
정 120
 
3.8%
육 117
 
3.8%
산 111
 
3.6%
축 107
 
3.4%
우 95
 
3.0%
트 85
 
2.7%
유 79
 
2.5%
마 68
 
2.2%
주 66
 
2.1%
Other values (326) 2138
68.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
28.9%
D 5
13.2%
H 4
 
10.5%
R 3
 
7.9%
J 3
 
7.9%
G 3
 
7.9%
K 2
 
5.3%
T 2
 
5.3%
M 2
 
5.3%
Y 1
 
2.6%
Other values (2) 2
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
h 2
33.3%
k 1
16.7%
a 1
16.7%
e 1
16.7%
y 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
3 2
25.0%
5 1
 
12.5%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3118
91.0%
Common 264
 
7.7%
Latin 44
 
1.3%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 134
 
4.3%
정 120
 
3.8%
육 117
 
3.8%
산 111
 
3.6%
축 107
 
3.4%
우 95
 
3.0%
트 85
 
2.7%
유 79
 
2.5%
마 68
 
2.2%
주 66
 
2.1%
Other values (324) 2136
68.5%
Latin
ValueCountFrequency (%)
S 11
25.0%
D 5
11.4%
H 4
 
9.1%
R 3
 
6.8%
J 3
 
6.8%
G 3
 
6.8%
K 2
 
4.5%
h 2
 
4.5%
T 2
 
4.5%
M 2
 
4.5%
Other values (7) 7
15.9%
Common
ValueCountFrequency (%)
155
58.7%
) 50
 
18.9%
( 49
 
18.6%
1 3
 
1.1%
· 2
 
0.8%
2 2
 
0.8%
3 2
 
0.8%
5 1
 
0.4%
Han
ValueCountFrequency (%)
美 1
50.0%
人 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3118
91.0%
ASCII 306
 
8.9%
None 2
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
50.7%
) 50
 
16.3%
( 49
 
16.0%
S 11
 
3.6%
D 5
 
1.6%
H 4
 
1.3%
R 3
 
1.0%
1 3
 
1.0%
J 3
 
1.0%
G 3
 
1.0%
Other values (14) 20
 
6.5%
Hangul
ValueCountFrequency (%)
점 134
 
4.3%
정 120
 
3.8%
육 117
 
3.8%
산 111
 
3.6%
축 107
 
3.4%
우 95
 
3.0%
트 85
 
2.7%
유 79
 
2.5%
마 68
 
2.2%
주 66
 
2.1%
Other values (324) 2136
68.5%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
美 1
50.0%
人 1
50.0%

도로명주소
Text

Distinct514
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T12:48:43.790404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.74397
Min length21

Characters and Unicode

Total characters16571
Distinct characters248
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique491 ?
Unique (%)91.1%

Sample

1st row인천광역시 미추홀구 인하로262번길 32 (주안동)
2nd row인천광역시 미추홀구 토금남로4번길 23 (용현동)
3rd row인천광역시 미추홀구 석정로 102-1 (숭의동)
4th row인천광역시 미추홀구 인하로 385 (주안동)
5th row인천광역시 미추홀구 염창로 88-8 (주안동)
ValueCountFrequency (%)
인천광역시 539
 
17.4%
미추홀구 539
 
17.4%
주안동 186
 
6.0%
1층 114
 
3.7%
용현동 107
 
3.4%
도화동 66
 
2.1%
숭의동 53
 
1.7%
학익동 39
 
1.3%
관교동 28
 
0.9%
경인로 20
 
0.6%
Other values (682) 1415
45.6%
2023-12-12T12:48:44.375830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2569
 
15.5%
인 645
 
3.9%
홀 590
 
3.6%
동 584
 
3.5%
미 573
 
3.5%
추 570
 
3.4%
1 567
 
3.4%
천 545
 
3.3%
시 545
 
3.3%
구 543
 
3.3%
Other values (238) 8840
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10003
60.4%
Space Separator 2569
 
15.5%
Decimal Number 2473
 
14.9%
Open Punctuation 542
 
3.3%
Close Punctuation 542
 
3.3%
Other Punctuation 295
 
1.8%
Dash Punctuation 98
 
0.6%
Uppercase Letter 28
 
0.2%
Lowercase Letter 20
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 645
 
6.4%
홀 590
 
5.9%
동 584
 
5.8%
미 573
 
5.7%
추 570
 
5.7%
천 545
 
5.4%
시 545
 
5.4%
구 543
 
5.4%
광 541
 
5.4%
역 541
 
5.4%
Other values (201) 4326
43.2%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.9%
B 4
14.3%
T 3
10.7%
J 3
10.7%
V 2
 
7.1%
I 2
 
7.1%
E 2
 
7.1%
W 2
 
7.1%
A 2
 
7.1%
K 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 567
22.9%
2 326
13.2%
3 272
11.0%
4 267
10.8%
5 226
 
9.1%
0 207
 
8.4%
8 174
 
7.0%
6 169
 
6.8%
9 136
 
5.5%
7 129
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
15.0%
e 3
15.0%
w 3
15.0%
o 3
15.0%
k 2
10.0%
y 2
10.0%
v 1
 
5.0%
b 1
 
5.0%
c 1
 
5.0%
g 1
 
5.0%
Space Separator
ValueCountFrequency (%)
2569
100.0%
Open Punctuation
ValueCountFrequency (%)
( 542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 542
100.0%
Other Punctuation
ValueCountFrequency (%)
, 295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10003
60.4%
Common 6520
39.3%
Latin 48
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 645
 
6.4%
홀 590
 
5.9%
동 584
 
5.8%
미 573
 
5.7%
추 570
 
5.7%
천 545
 
5.4%
시 545
 
5.4%
구 543
 
5.4%
광 541
 
5.4%
역 541
 
5.4%
Other values (201) 4326
43.2%
Latin
ValueCountFrequency (%)
S 5
 
10.4%
B 4
 
8.3%
T 3
 
6.2%
J 3
 
6.2%
r 3
 
6.2%
e 3
 
6.2%
w 3
 
6.2%
o 3
 
6.2%
V 2
 
4.2%
k 2
 
4.2%
Other values (11) 17
35.4%
Common
ValueCountFrequency (%)
2569
39.4%
1 567
 
8.7%
( 542
 
8.3%
) 542
 
8.3%
2 326
 
5.0%
, 295
 
4.5%
3 272
 
4.2%
4 267
 
4.1%
5 226
 
3.5%
0 207
 
3.2%
Other values (6) 707
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10003
60.4%
ASCII 6568
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2569
39.1%
1 567
 
8.6%
( 542
 
8.3%
) 542
 
8.3%
2 326
 
5.0%
, 295
 
4.5%
3 272
 
4.1%
4 267
 
4.1%
5 226
 
3.4%
0 207
 
3.2%
Other values (27) 755
 
11.5%
Hangul
ValueCountFrequency (%)
인 645
 
6.4%
홀 590
 
5.9%
동 584
 
5.8%
미 573
 
5.7%
추 570
 
5.7%
천 545
 
5.4%
시 545
 
5.4%
구 543
 
5.4%
광 541
 
5.4%
역 541
 
5.4%
Other values (201) 4326
43.2%

위도
Real number (ℝ)

Distinct479
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455687
Minimum37.436407
Maximum37.478753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-12T12:48:44.543769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436407
5-th percentile37.439739
Q137.44823
median37.456139
Q337.463146
95-th percentile37.471665
Maximum37.478753
Range0.0423459
Interquartile range (IQR)0.014916005

Descriptive statistics

Standard deviation0.0096414384
Coefficient of variation (CV)0.0002574092
Kurtosis-0.68056351
Mean37.455687
Median Absolute Deviation (MAD)0.00731545
Skewness0.044398627
Sum20188.615
Variance9.2957335 × 10-5
MonotonicityNot monotonic
2023-12-12T12:48:45.070828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46554181 4
 
0.7%
37.47185889 4
 
0.7%
37.46523237 3
 
0.6%
37.47042891 3
 
0.6%
37.43743653 3
 
0.6%
37.46238146 3
 
0.6%
37.44351498 3
 
0.6%
37.45177126 3
 
0.6%
37.47194679 3
 
0.6%
37.46782817 3
 
0.6%
Other values (469) 507
94.1%
ValueCountFrequency (%)
37.43640735 1
 
0.2%
37.43654516 1
 
0.2%
37.43661838 1
 
0.2%
37.43683555 1
 
0.2%
37.43729122 1
 
0.2%
37.4373446 1
 
0.2%
37.43743653 3
0.6%
37.43749205 1
 
0.2%
37.43754976 1
 
0.2%
37.43758886 1
 
0.2%
ValueCountFrequency (%)
37.47875325 1
0.2%
37.47780882 1
0.2%
37.47778903 1
0.2%
37.47753783 1
0.2%
37.47747322 1
0.2%
37.4774719 1
0.2%
37.47734079 1
0.2%
37.47711523 1
0.2%
37.47688103 1
0.2%
37.47641483 2
0.4%

경도
Real number (ℝ)

Distinct479
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66853
Minimum126.63258
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-12T12:48:45.238560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63258
5-th percentile126.63833
Q1126.65533
median126.67056
Q3126.68238
95-th percentile126.69349
Maximum126.70152
Range0.0689359
Interquartile range (IQR)0.02705645

Descriptive statistics

Standard deviation0.017137555
Coefficient of variation (CV)0.00013529449
Kurtosis-0.96128268
Mean126.66853
Median Absolute Deviation (MAD)0.0129789
Skewness-0.31077716
Sum68274.339
Variance0.00029369578
MonotonicityNot monotonic
2023-12-12T12:48:45.418410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6804649 4
 
0.7%
126.6690185 4
 
0.7%
126.6675197 3
 
0.6%
126.6767353 3
 
0.6%
126.6859158 3
 
0.6%
126.6398686 3
 
0.6%
126.6649652 3
 
0.6%
126.6382113 3
 
0.6%
126.6691034 3
 
0.6%
126.6731733 3
 
0.6%
Other values (469) 507
94.1%
ValueCountFrequency (%)
126.6325828 1
0.2%
126.6326519 1
0.2%
126.6326813 1
0.2%
126.6333707 1
0.2%
126.6341977 1
0.2%
126.6348182 1
0.2%
126.6351377 1
0.2%
126.6355749 1
0.2%
126.6356716 1
0.2%
126.6357811 1
0.2%
ValueCountFrequency (%)
126.7015187 1
 
0.2%
126.6962602 1
 
0.2%
126.6954181 1
 
0.2%
126.6952531 3
0.6%
126.6952025 1
 
0.2%
126.6951713 2
0.4%
126.6951085 1
 
0.2%
126.6948113 1
 
0.2%
126.6948036 2
0.4%
126.6947564 1
 
0.2%

Interactions

2023-12-12T12:48:41.153073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:40.455359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:40.809207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:41.287236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:40.551737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:40.919302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:41.407368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:40.673156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:48:41.024632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:48:45.545884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형위도경도
연번1.0000.6920.3010.226
유형0.6921.0000.2470.133
위도0.3010.2471.0000.702
경도0.2260.1330.7021.000
2023-12-12T12:48:45.681913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도유형
연번1.0000.0130.0160.455
위도0.0131.000-0.1410.132
경도0.016-0.1411.0000.070
유형0.4550.1320.0701.000

Missing values

2023-12-12T12:48:41.642983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:48:41.806294image/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

연번유형상호명도로명주소위도경도
01식육판매업종현정육점인천광역시 미추홀구 인하로262번길 32 (주안동)37.44675126.677232
12우유류판매업서울우유 용학고객센터인천광역시 미추홀구 토금남로4번길 23 (용현동)37.451977126.632583
23식육판매업천복축산물도매센타인천광역시 미추홀구 석정로 102-1 (숭의동)37.467883126.64693
34식육판매업대지정육점인천광역시 미추홀구 인하로 385 (주안동)37.448327126.691172
45식육판매업주안정육센타인천광역시 미추홀구 염창로 88-8 (주안동)37.465223126.683511
56식육판매업하정정육점인천광역시 미추홀구 토금중로 22 (용현동)37.453416126.635781
67우유류판매업서울우유석암고객센터인천광역시 미추홀구 주안중로16번길 23 (주안동)37.4598126.684049
78식육판매업도일정육점인천광역시 미추홀구 인하로266번길 36 (주안동)37.446447126.677709
89식육판매업성신정육점인천광역시 미추홀구 토금북로 55 (용현동)37.45314126.640146
910식육판매업영춘정육점인천광역시 미추홀구 미추로36번길 7 (숭의동)37.463454126.647102
연번유형상호명도로명주소위도경도
529530식육즉석판매가공업착한정육점인천광역시 미추홀구 경인로 433, 104호 (주안동)37.458238126.688407
530531식육즉석판매가공업하모니마트 정육인천광역시 미추홀구 참외전로 310, 단오빌딩 1층 (숭의동)37.465984126.64848
531532식육즉석판매가공업두총각네축산인천광역시 미추홀구 경인로246번길 5, 1층 (도화동, 버드나무아파트)37.463265126.669437
532533식육즉석판매가공업AK마트 정육점인천광역시 미추홀구 경인로 399, 1층 (주안동)37.458481126.684376
533534식육즉석판매가공업로얄할인마트인천광역시 미추홀구 소성로294번길 17-32(문학동)37.436407126.680421
534535식육즉석판매가공업미락 축산인천광역시 미추홀구 한나루로 441, 삼성종합프라자 (학익동)37.446639126.666714
535536식육즉석판매가공업GS슈퍼 학익점인천광역시 미추홀구 소성로 146, GS수퍼마켓 학익점 일부호 (학익동)37.442165126.66418
536537식육즉석판매가공업우리동네 정육점인천광역시 미추홀구 인하로222번길 20 (주안동, 주안파크자이더플래티넘)37.447847126.672157
537538식육즉석판매가공업금꽃상회인천광역시 미추홀구 낙섬중로 129, 4동 208호 (용현동, 엘에이치미추홀3단지)37.45826126.642662
538539식육즉석판매가공업김준호의 대단한갈비 인천 관교점인천광역시 미추홀구 주승로 220 (관교동)37.443244126.693896