Overview

Dataset statistics

Number of variables5
Number of observations525
Missing cells439
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory41.3 B

Variable types

Text4
Numeric1

Dataset

Description부천시 관내의 집단급식소 현황으로 업소명, 소재지(도로명, 지번), 업소전화번호,1일급식인원, 위탁급식업소명 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15047814/fileData.do

Alerts

위탁급식업소명 has 438 (83.4%) missing valuesMissing
1일급식인원 has 8 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-12 15:20:52.304125
Analysis finished2023-12-12 15:20:53.447917
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct523
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-13T00:20:53.641189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length7.5180952
Min length3

Characters and Unicode

Total characters3947
Distinct characters354
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)99.2%

Sample

1st row고운여성병원
2nd row중앙어린이집
3rd row부천시원미노인복지관
4th row부천제일요양병원
5th row도담어린이집
ValueCountFrequency (%)
어린이집 4
 
0.7%
의료법인 2
 
0.4%
구내식당 2
 
0.4%
온누리어린이집 2
 
0.4%
큰나무어린이집 2
 
0.4%
옥길행복어린이집 1
 
0.2%
홈플러스(주)부천소사점 1
 
0.2%
열린유치원 1
 
0.2%
산교육문화공동체 1
 
0.2%
래미안어반비스타 1
 
0.2%
Other values (537) 537
96.9%
2023-12-13T00:20:54.086494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 186
 
4.7%
이 179
 
4.5%
어 156
 
4.0%
린 151
 
3.8%
집 150
 
3.8%
학 145
 
3.7%
교 138
 
3.5%
부 119
 
3.0%
천 110
 
2.8%
등 92
 
2.3%
Other values (344) 2521
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3794
96.1%
Close Punctuation 49
 
1.2%
Open Punctuation 49
 
1.2%
Space Separator 29
 
0.7%
Decimal Number 14
 
0.4%
Uppercase Letter 6
 
0.2%
Other Punctuation 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 186
 
4.9%
이 179
 
4.7%
어 156
 
4.1%
린 151
 
4.0%
집 150
 
4.0%
학 145
 
3.8%
교 138
 
3.6%
부 119
 
3.1%
천 110
 
2.9%
등 92
 
2.4%
Other values (327) 2368
62.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
B 1
16.7%
A 1
16.7%
K 1
16.7%
T 1
16.7%
F 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
42.9%
1 5
35.7%
3 1
 
7.1%
0 1
 
7.1%
5 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3794
96.1%
Common 146
 
3.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 186
 
4.9%
이 179
 
4.7%
어 156
 
4.1%
린 151
 
4.0%
집 150
 
4.0%
학 145
 
3.8%
교 138
 
3.6%
부 119
 
3.1%
천 110
 
2.9%
등 92
 
2.4%
Other values (327) 2368
62.4%
Common
ValueCountFrequency (%)
) 49
33.6%
( 49
33.6%
29
19.9%
2 6
 
4.1%
1 5
 
3.4%
, 3
 
2.1%
. 2
 
1.4%
3 1
 
0.7%
0 1
 
0.7%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
w 1
14.3%
C 1
14.3%
B 1
14.3%
A 1
14.3%
K 1
14.3%
T 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3794
96.1%
ASCII 153
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 186
 
4.9%
이 179
 
4.7%
어 156
 
4.1%
린 151
 
4.0%
집 150
 
4.0%
학 145
 
3.8%
교 138
 
3.6%
부 119
 
3.1%
천 110
 
2.9%
등 92
 
2.4%
Other values (327) 2368
62.4%
ASCII
ValueCountFrequency (%)
) 49
32.0%
( 49
32.0%
29
19.0%
2 6
 
3.9%
1 5
 
3.3%
, 3
 
2.0%
. 2
 
1.3%
3 1
 
0.7%
0 1
 
0.7%
5 1
 
0.7%
Other values (7) 7
 
4.6%

소재지(도로명)
Text

Distinct523
Distinct (%)99.8%
Missing1
Missing (%)0.2%
Memory size4.2 KiB
2023-12-13T00:20:54.470641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44.5
Mean length29.232824
Min length19

Characters and Unicode

Total characters15318
Distinct characters293
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique522 ?
Unique (%)99.6%

Sample

1st row경기도 부천시 부천로 110-1 (원미동, 한위빌딩 4층일부)
2nd row경기도 부천시 조종로69번길 38-8 (원미동, 3층, 일부)
3rd row경기도 부천시 부천로136번길 27 (원미동, 원미1동행정복지센터 B동1층)
4th row경기도 부천시 부천로 100 (원미동, 지하1층 일부)
5th row경기도 부천시 조종로7번길 5, 1층 일부호 (원미동)
ValueCountFrequency (%)
경기도 524
 
16.2%
부천시 524
 
16.2%
중동 88
 
2.7%
1층 74
 
2.3%
상동 57
 
1.8%
일부 54
 
1.7%
일부호 43
 
1.3%
소사본동 33
 
1.0%
송내동 32
 
1.0%
2층 31
 
1.0%
Other values (837) 1767
54.8%
2023-12-13T00:20:55.020941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2703
 
17.6%
부 781
 
5.1%
천 628
 
4.1%
동 607
 
4.0%
도 576
 
3.8%
경 557
 
3.6%
( 544
 
3.6%
) 544
 
3.6%
시 533
 
3.5%
기 527
 
3.4%
Other values (283) 7318
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8677
56.6%
Space Separator 2703
 
17.6%
Decimal Number 2365
 
15.4%
Open Punctuation 544
 
3.6%
Close Punctuation 544
 
3.6%
Other Punctuation 377
 
2.5%
Dash Punctuation 70
 
0.5%
Uppercase Letter 32
 
0.2%
Math Symbol 5
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 781
 
9.0%
천 628
 
7.2%
동 607
 
7.0%
도 576
 
6.6%
경 557
 
6.4%
시 533
 
6.1%
기 527
 
6.1%
로 526
 
6.1%
층 287
 
3.3%
길 280
 
3.2%
Other values (253) 3375
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
18.8%
T 4
12.5%
A 4
12.5%
R 4
12.5%
L 3
9.4%
C 2
 
6.2%
H 2
 
6.2%
E 2
 
6.2%
D 1
 
3.1%
K 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
1 526
22.2%
2 351
14.8%
3 258
10.9%
4 242
10.2%
6 197
 
8.3%
0 176
 
7.4%
7 171
 
7.2%
5 162
 
6.8%
8 144
 
6.1%
9 138
 
5.8%
Space Separator
ValueCountFrequency (%)
2703
100.0%
Open Punctuation
ValueCountFrequency (%)
( 544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 544
100.0%
Other Punctuation
ValueCountFrequency (%)
, 377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8677
56.6%
Common 6608
43.1%
Latin 33
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 781
 
9.0%
천 628
 
7.2%
동 607
 
7.0%
도 576
 
6.6%
경 557
 
6.4%
시 533
 
6.1%
기 527
 
6.1%
로 526
 
6.1%
층 287
 
3.3%
길 280
 
3.2%
Other values (253) 3375
38.9%
Common
ValueCountFrequency (%)
2703
40.9%
( 544
 
8.2%
) 544
 
8.2%
1 526
 
8.0%
, 377
 
5.7%
2 351
 
5.3%
3 258
 
3.9%
4 242
 
3.7%
6 197
 
3.0%
0 176
 
2.7%
Other values (6) 690
 
10.4%
Latin
ValueCountFrequency (%)
B 6
18.2%
T 4
12.1%
A 4
12.1%
R 4
12.1%
L 3
9.1%
C 2
 
6.1%
H 2
 
6.1%
E 2
 
6.1%
D 1
 
3.0%
K 1
 
3.0%
Other values (4) 4
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8677
56.6%
ASCII 6640
43.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2703
40.7%
( 544
 
8.2%
) 544
 
8.2%
1 526
 
7.9%
, 377
 
5.7%
2 351
 
5.3%
3 258
 
3.9%
4 242
 
3.6%
6 197
 
3.0%
0 176
 
2.7%
Other values (19) 722
 
10.9%
Hangul
ValueCountFrequency (%)
부 781
 
9.0%
천 628
 
7.2%
동 607
 
7.0%
도 576
 
6.6%
경 557
 
6.4%
시 533
 
6.1%
기 527
 
6.1%
로 526
 
6.1%
층 287
 
3.3%
길 280
 
3.2%
Other values (253) 3375
38.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업소전화번호
Text

Distinct486
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-13T00:20:55.358030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.100952
Min length8

Characters and Unicode

Total characters6353
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique484 ?
Unique (%)92.2%

Sample

1st row032-665-0070
2nd row032-667-7942
3rd row070-4710-4437
4th row032-650-9000
5th row032-668-0122
ValueCountFrequency (%)
032-000-0000 39
 
7.4%
02 4
 
0.8%
032-668-0323 2
 
0.4%
032-621-1170 1
 
0.2%
032-348-7205 1
 
0.2%
070-7099-8769 1
 
0.2%
070-7014-7851 1
 
0.2%
032-343-7704 1
 
0.2%
070-7099-4673 1
 
0.2%
02-2610-0668 1
 
0.2%
Other values (477) 477
90.2%
2023-12-13T00:20:55.956476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1312
20.7%
- 1041
16.4%
3 834
13.1%
2 770
12.1%
6 482
 
7.6%
7 450
 
7.1%
1 367
 
5.8%
9 291
 
4.6%
4 284
 
4.5%
5 272
 
4.3%
Other values (2) 250
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5308
83.6%
Dash Punctuation 1041
 
16.4%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1312
24.7%
3 834
15.7%
2 770
14.5%
6 482
 
9.1%
7 450
 
8.5%
1 367
 
6.9%
9 291
 
5.5%
4 284
 
5.4%
5 272
 
5.1%
8 246
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1041
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1312
20.7%
- 1041
16.4%
3 834
13.1%
2 770
12.1%
6 482
 
7.6%
7 450
 
7.1%
1 367
 
5.8%
9 291
 
4.6%
4 284
 
4.5%
5 272
 
4.3%
Other values (2) 250
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1312
20.7%
- 1041
16.4%
3 834
13.1%
2 770
12.1%
6 482
 
7.6%
7 450
 
7.1%
1 367
 
5.8%
9 291
 
4.6%
4 284
 
4.5%
5 272
 
4.3%
Other values (2) 250
 
3.9%

1일급식인원
Real number (ℝ)

ZEROS 

Distinct232
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.48762
Minimum0
Maximum4200
Zeros8
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-13T00:20:56.180904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.4
Q173
median140
Q3530
95-th percentile1500
Maximum4200
Range4200
Interquartile range (IQR)457

Descriptive statistics

Standard deviation541.81158
Coefficient of variation (CV)1.3562663
Kurtosis8.9860924
Mean399.48762
Median Absolute Deviation (MAD)83
Skewness2.534487
Sum209731
Variance293559.79
MonotonicityNot monotonic
2023-12-13T00:20:56.348444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 18
 
3.4%
150 15
 
2.9%
50 13
 
2.5%
80 12
 
2.3%
120 12
 
2.3%
60 11
 
2.1%
200 11
 
2.1%
100 10
 
1.9%
52 10
 
1.9%
55 9
 
1.7%
Other values (222) 404
77.0%
ValueCountFrequency (%)
0 8
1.5%
40 2
 
0.4%
42 1
 
0.2%
45 2
 
0.4%
46 1
 
0.2%
50 13
2.5%
52 10
1.9%
53 6
1.1%
54 2
 
0.4%
55 9
1.7%
ValueCountFrequency (%)
4200 1
0.2%
3600 1
0.2%
3260 1
0.2%
2700 1
0.2%
2300 1
0.2%
2100 1
0.2%
2000 1
0.2%
1997 1
0.2%
1980 1
0.2%
1950 1
0.2%

위탁급식업소명
Text

MISSING 

Distinct85
Distinct (%)97.7%
Missing438
Missing (%)83.4%
Memory size4.2 KiB
2023-12-13T00:20:56.602884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length11.781609
Min length2

Characters and Unicode

Total characters1025
Distinct characters236
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)96.6%

Sample

1st row경기부천소사지역자활센터
2nd row푸다스KT부천지사점
3rd row유한회사 소신사랑
4th row(주)사나푸드부천대점
5th row하랑실버빌리지 더바른푸드
ValueCountFrequency (%)
주)아워홈 5
 
4.1%
주)진주랑 4
 
3.3%
주)동원홈푸드 3
 
2.5%
구내식당 3
 
2.5%
푸디스트(주 2
 
1.6%
위탁급식 2
 
1.6%
부천테크노파크1단지점 1
 
0.8%
동아정밀공업점 1
 
0.8%
영안상사부천점 1
 
0.8%
카운텍 1
 
0.8%
Other values (99) 99
81.1%
2023-12-13T00:20:57.103945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 52
 
5.1%
( 48
 
4.7%
) 48
 
4.7%
드 35
 
3.4%
35
 
3.4%
푸 35
 
3.4%
부 33
 
3.2%
점 33
 
3.2%
천 32
 
3.1%
스 25
 
2.4%
Other values (226) 649
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
86.5%
Open Punctuation 48
 
4.7%
Close Punctuation 48
 
4.7%
Space Separator 35
 
3.4%
Uppercase Letter 4
 
0.4%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
5.9%
드 35
 
3.9%
푸 35
 
3.9%
부 33
 
3.7%
점 33
 
3.7%
천 32
 
3.6%
스 25
 
2.8%
식 21
 
2.4%
원 18
 
2.0%
내 16
 
1.8%
Other values (216) 587
66.2%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
K 1
25.0%
T 1
25.0%
S 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 887
86.5%
Common 134
 
13.1%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
5.9%
드 35
 
3.9%
푸 35
 
3.9%
부 33
 
3.7%
점 33
 
3.7%
천 32
 
3.6%
스 25
 
2.8%
식 21
 
2.4%
원 18
 
2.0%
내 16
 
1.8%
Other values (216) 587
66.2%
Common
ValueCountFrequency (%)
( 48
35.8%
) 48
35.8%
35
26.1%
1 1
 
0.7%
2 1
 
0.7%
& 1
 
0.7%
Latin
ValueCountFrequency (%)
F 1
25.0%
K 1
25.0%
T 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 887
86.5%
ASCII 138
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 52
 
5.9%
드 35
 
3.9%
푸 35
 
3.9%
부 33
 
3.7%
점 33
 
3.7%
천 32
 
3.6%
스 25
 
2.8%
식 21
 
2.4%
원 18
 
2.0%
내 16
 
1.8%
Other values (216) 587
66.2%
ASCII
ValueCountFrequency (%)
( 48
34.8%
) 48
34.8%
35
25.4%
1 1
 
0.7%
2 1
 
0.7%
& 1
 
0.7%
F 1
 
0.7%
K 1
 
0.7%
T 1
 
0.7%
S 1
 
0.7%

Interactions

2023-12-13T00:20:52.796339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:20:57.199358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일급식인원위탁급식업소명
1일급식인원1.0000.935
위탁급식업소명0.9351.000

Missing values

2023-12-13T00:20:52.898288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:20:53.001461image/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.
2023-12-13T00:20:53.402790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소명소재지(도로명)업소전화번호1일급식인원위탁급식업소명
0고운여성병원경기도 부천시 부천로 110-1 (원미동, 한위빌딩 4층일부)032-665-007095<NA>
1중앙어린이집경기도 부천시 조종로69번길 38-8 (원미동, 3층, 일부)032-667-7942169<NA>
2부천시원미노인복지관경기도 부천시 부천로136번길 27 (원미동, 원미1동행정복지센터 B동1층)070-4710-4437400<NA>
3부천제일요양병원경기도 부천시 부천로 100 (원미동, 지하1층 일부)032-650-9000300<NA>
4도담어린이집경기도 부천시 조종로7번길 5, 1층 일부호 (원미동)032-668-012250<NA>
5원미중학교경기도 부천시 원미로182번길 15 (원미동,1층)070-7099-9558410<NA>
6(주)유신메디칼경기도 부천시 조마루로427번길 36 (원미동)032-668-032375<NA>
7룸비니유치원경기도 부천시 조종로68번가길 4 (원미동)032-652-0058240<NA>
8반석유치원경기도 부천시 원미로143번길 6 (원미동)032-665-008260<NA>
9부천북초등학교경기도 부천시 원미로131번길 35 (원미동)032-620-45091540<NA>
업소명소재지(도로명)업소전화번호1일급식인원위탁급식업소명
515이룸병원경기도 부천시 수도로 93, 2층 (내동, 태양빌딩)032-674-556790<NA>
516시온자동기계경기도 부천시 삼작로199번길 65 (내동, 1층일부)032-675-599980시온자동기계내 구내식당
517지원이엔지경기도 부천시 옥산로277번길 26 (내동, 1층)032-679-138370지원구내식당
518(주)빅트론닉스구내식당경기도 부천시 수도로105번길 48 (내동, 1층)032-678-8542110만복구내식당매점
519정화어린이집경기도 부천시 부천로426번길 14 (내동,4층)032-682-424246<NA>
520현병원경기도 부천시 부천로 392, 5층 일부호 (내동)032-000-0000140<NA>
521유진기업(주)강서경기도 부천시 오정로 189 (내동)032-675-8111250유진엠(주)유진기업강서
522(주)모텍스경기도 부천시 오정로 163 (내동)032-673-500585<NA>
523내동중학교경기도 부천시 삼작로108번길 53 (내동)070-7099-49301900<NA>
524유창금속공업(주)경기도 부천시 부천로431번길 30 (내동)032-674-123140유창금속공업(주)내 구내식당