Overview

Dataset statistics

Number of variables7
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory60.8 B

Variable types

Numeric4
Categorical1
Text2

Dataset

Description영천시 관내 급식소 현황으로 집단급식소와 위탁급식영업점의 업소명, 소재지주소, 위도, 경도 등에 관한 데이터를 제공합니다. ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15084335?url=https%3A//www.yc.go.kr/portal/advanceInfo/list.do%3FmId%3D0306020000&version=d7)](https://www.data.go.kr/data/15084335/fileData.do)
URLhttps://www.data.go.kr/data/15084335/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
위도 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with 위도High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:16:50.564775
Analysis finished2023-12-12 22:16:52.936028
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T07:16:53.008946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q140.5
median80
Q3119.5
95-th percentile151.1
Maximum159
Range158
Interquartile range (IQR)79

Descriptive statistics

Standard deviation46.043458
Coefficient of variation (CV)0.57554322
Kurtosis-1.2
Mean80
Median Absolute Deviation (MAD)40
Skewness0
Sum12720
Variance2120
MonotonicityStrictly increasing
2023-12-13T07:16:53.159610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
Other values (149) 149
93.7%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
집단급식소
116 
위탁급식영업
43 

Length

Max length6
Median length5
Mean length5.2704403
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 116
73.0%
위탁급식영업 43
 
27.0%

Length

2023-12-13T07:16:53.311598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:16:53.426907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 116
73.0%
위탁급식영업 43
 
27.0%

업소명
Text

Distinct152
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:16:53.676081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.3962264
Min length2

Characters and Unicode

Total characters1494
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)91.8%

Sample

1st row영천희망원
2nd row북안초등학교급식소
3rd row청통초등학교
4th row영남대학교영천병원
5th row(주)화신
ValueCountFrequency (%)
주식회사 10
 
4.5%
급식소 6
 
2.7%
구내식당 4
 
1.8%
새싹푸드 3
 
1.3%
한중 3
 
1.3%
에스엠화진 3
 
1.3%
영천지사 2
 
0.9%
신세계푸드 2
 
0.9%
제2공장 2
 
0.9%
주)아워홈 2
 
0.9%
Other values (178) 186
83.4%
2023-12-13T07:16:54.236004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
4.3%
주 55
 
3.7%
영 51
 
3.4%
식 51
 
3.4%
) 50
 
3.3%
( 48
 
3.2%
학 42
 
2.8%
천 41
 
2.7%
이 38
 
2.5%
교 38
 
2.5%
Other values (217) 1016
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
87.3%
Space Separator 64
 
4.3%
Close Punctuation 50
 
3.3%
Open Punctuation 48
 
3.2%
Uppercase Letter 13
 
0.9%
Other Punctuation 8
 
0.5%
Decimal Number 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
4.2%
영 51
 
3.9%
식 51
 
3.9%
학 42
 
3.2%
천 41
 
3.1%
이 38
 
2.9%
교 38
 
2.9%
소 29
 
2.2%
원 27
 
2.1%
급 26
 
2.0%
Other values (203) 906
69.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
K 3
23.1%
D 3
23.1%
C 2
 
15.4%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
7 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
, 1
 
12.5%
· 1
 
12.5%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
87.3%
Common 177
 
11.8%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
4.2%
영 51
 
3.9%
식 51
 
3.9%
학 42
 
3.2%
천 41
 
3.1%
이 38
 
2.9%
교 38
 
2.9%
소 29
 
2.2%
원 27
 
2.1%
급 26
 
2.0%
Other values (203) 906
69.5%
Common
ValueCountFrequency (%)
64
36.2%
) 50
28.2%
( 48
27.1%
. 6
 
3.4%
2 3
 
1.7%
1 2
 
1.1%
7 1
 
0.6%
, 1
 
0.6%
· 1
 
0.6%
3 1
 
0.6%
Latin
ValueCountFrequency (%)
S 5
38.5%
K 3
23.1%
D 3
23.1%
C 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
87.3%
ASCII 189
 
12.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
33.9%
) 50
26.5%
( 48
25.4%
. 6
 
3.2%
S 5
 
2.6%
K 3
 
1.6%
D 3
 
1.6%
2 3
 
1.6%
1 2
 
1.1%
C 2
 
1.1%
Other values (3) 3
 
1.6%
Hangul
ValueCountFrequency (%)
주 55
 
4.2%
영 51
 
3.9%
식 51
 
3.9%
학 42
 
3.2%
천 41
 
3.1%
이 38
 
2.9%
교 38
 
2.9%
소 29
 
2.2%
원 27
 
2.1%
급 26
 
2.0%
Other values (203) 906
69.5%
None
ValueCountFrequency (%)
· 1
100.0%

소재지주소
Text

Distinct127
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:16:54.712994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length24
Min length18

Characters and Unicode

Total characters3816
Distinct characters164
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)59.7%

Sample

1st row경상북도 영천시 한방로 195-6 (작산동)
2nd row경상북도 영천시 북안면 운북로 1984
3rd row경상북도 영천시 청통면 청통초등길 43
4th row경상북도 영천시 오수1길 10 (오수동)
5th row경상북도 영천시 언하공단1길 14, c동 (언하동)
ValueCountFrequency (%)
경상북도 159
 
19.0%
영천시 159
 
19.0%
금호읍 23
 
2.8%
망정동 14
 
1.7%
도남동 13
 
1.6%
영천산단로 12
 
1.4%
북안면 11
 
1.3%
채신동 10
 
1.2%
야사동 9
 
1.1%
도남공단길 8
 
1.0%
Other values (228) 417
49.9%
2023-12-13T07:16:55.586718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
676
17.7%
도 192
 
5.0%
천 190
 
5.0%
북 179
 
4.7%
영 179
 
4.7%
경 167
 
4.4%
시 163
 
4.3%
상 162
 
4.2%
1 121
 
3.2%
) 106
 
2.8%
Other values (154) 1681
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2335
61.2%
Space Separator 676
 
17.7%
Decimal Number 521
 
13.7%
Close Punctuation 106
 
2.8%
Open Punctuation 106
 
2.8%
Dash Punctuation 39
 
1.0%
Other Punctuation 28
 
0.7%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 192
 
8.2%
천 190
 
8.1%
북 179
 
7.7%
영 179
 
7.7%
경 167
 
7.2%
시 163
 
7.0%
상 162
 
6.9%
동 102
 
4.4%
길 89
 
3.8%
로 71
 
3.0%
Other values (134) 841
36.0%
Decimal Number
ValueCountFrequency (%)
1 121
23.2%
2 75
14.4%
3 61
11.7%
5 49
9.4%
4 49
9.4%
9 41
 
7.9%
8 37
 
7.1%
6 32
 
6.1%
7 28
 
5.4%
0 28
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
H 1
25.0%
T 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2335
61.2%
Common 1476
38.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 192
 
8.2%
천 190
 
8.1%
북 179
 
7.7%
영 179
 
7.7%
경 167
 
7.2%
시 163
 
7.0%
상 162
 
6.9%
동 102
 
4.4%
길 89
 
3.8%
로 71
 
3.0%
Other values (134) 841
36.0%
Common
ValueCountFrequency (%)
676
45.8%
1 121
 
8.2%
) 106
 
7.2%
( 106
 
7.2%
2 75
 
5.1%
3 61
 
4.1%
5 49
 
3.3%
4 49
 
3.3%
9 41
 
2.8%
- 39
 
2.6%
Other values (5) 153
 
10.4%
Latin
ValueCountFrequency (%)
E 1
20.0%
H 1
20.0%
T 1
20.0%
c 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2335
61.2%
ASCII 1481
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
676
45.6%
1 121
 
8.2%
) 106
 
7.2%
( 106
 
7.2%
2 75
 
5.1%
3 61
 
4.1%
5 49
 
3.3%
4 49
 
3.3%
9 41
 
2.8%
- 39
 
2.6%
Other values (10) 158
 
10.7%
Hangul
ValueCountFrequency (%)
도 192
 
8.2%
천 190
 
8.1%
북 179
 
7.7%
영 179
 
7.7%
경 167
 
7.2%
시 163
 
7.0%
상 162
 
6.9%
동 102
 
4.4%
길 89
 
3.8%
로 71
 
3.0%
Other values (134) 841
36.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.963098
Minimum35.869633
Maximum36.138554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T07:16:55.739815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.869633
5-th percentile35.906521
Q135.92741
median35.963848
Q335.987478
95-th percentile36.04808
Maximum36.138554
Range0.26892094
Interquartile range (IQR)0.060067815

Descriptive statistics

Standard deviation0.047408277
Coefficient of variation (CV)0.0013182479
Kurtosis0.85754646
Mean35.963098
Median Absolute Deviation (MAD)0.03303695
Skewness0.81831215
Sum5718.1326
Variance0.0022475448
MonotonicityNot monotonic
2023-12-13T07:16:55.907015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.91376015 2
 
1.3%
36.00230376 2
 
1.3%
35.95359885 2
 
1.3%
35.98344558 2
 
1.3%
35.91971875 2
 
1.3%
35.90652077 2
 
1.3%
35.98295815 2
 
1.3%
35.90975274 2
 
1.3%
35.93860018 2
 
1.3%
35.98325614 2
 
1.3%
Other values (105) 139
87.4%
ValueCountFrequency (%)
35.86963346 1
0.6%
35.87594313 1
0.6%
35.89008608 2
1.3%
35.89227063 1
0.6%
35.89307108 1
0.6%
35.90632024 1
0.6%
35.90652077 2
1.3%
35.9083083 2
1.3%
35.90975274 2
1.3%
35.91004522 2
1.3%
ValueCountFrequency (%)
36.1385544 1
0.6%
36.10985652 1
0.6%
36.08623675 1
0.6%
36.06838225 1
0.6%
36.06420908 2
1.3%
36.06015002 1
0.6%
36.04807956 2
1.3%
36.04805534 2
1.3%
36.04723326 1
0.6%
36.04302311 1
0.6%

경도
Real number (ℝ)

Distinct115
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.93338
Minimum128.76141
Maximum129.06756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T07:16:56.041764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.76141
5-th percentile128.81599
Q1128.91992
median128.94358
Q3128.95305
95-th percentile129.0152
Maximum129.06756
Range0.3061543
Interquartile range (IQR)0.0331333

Descriptive statistics

Standard deviation0.05347746
Coefficient of variation (CV)0.00041476816
Kurtosis1.8164981
Mean128.93338
Median Absolute Deviation (MAD)0.0166297
Skewness-0.83539438
Sum20500.407
Variance0.0028598388
MonotonicityNot monotonic
2023-12-13T07:16:56.182969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9524578 2
 
1.3%
128.9658017 2
 
1.3%
128.9057365 2
 
1.3%
128.8159887 2
 
1.3%
128.9511886 2
 
1.3%
128.94702 2
 
1.3%
128.9595885 2
 
1.3%
128.9543042 2
 
1.3%
128.928274 2
 
1.3%
128.951608 2
 
1.3%
Other values (105) 139
87.4%
ValueCountFrequency (%)
128.7614088 2
1.3%
128.7804922 1
0.6%
128.7899341 1
0.6%
128.7944325 2
1.3%
128.8110269 1
0.6%
128.8159887 2
1.3%
128.823608 1
0.6%
128.8246627 1
0.6%
128.8355965 1
0.6%
128.8488835 1
0.6%
ValueCountFrequency (%)
129.0675631 1
0.6%
129.0578009 1
0.6%
129.0431561 1
0.6%
129.0340813 1
0.6%
129.0163274 2
1.3%
129.015402 1
0.6%
129.0152284 1
0.6%
129.015197 1
0.6%
129.0145372 1
0.6%
129.0123801 1
0.6%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38863.635
Minimum38801
Maximum38912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T07:16:56.322547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38801
5-th percentile38807
Q138831
median38874
Q338898
95-th percentile38907
Maximum38912
Range111
Interquartile range (IQR)67

Descriptive statistics

Standard deviation35.755396
Coefficient of variation (CV)0.00092002192
Kurtosis-1.5288393
Mean38863.635
Median Absolute Deviation (MAD)27
Skewness-0.24030308
Sum6179318
Variance1278.4484
MonotonicityNot monotonic
2023-12-13T07:16:56.467754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38899 21
 
13.2%
38898 17
 
10.7%
38831 8
 
5.0%
38907 6
 
3.8%
38839 6
 
3.8%
38896 5
 
3.1%
38874 5
 
3.1%
38832 4
 
2.5%
38882 4
 
2.5%
38909 4
 
2.5%
Other values (43) 79
49.7%
ValueCountFrequency (%)
38801 2
1.3%
38802 1
 
0.6%
38803 3
1.9%
38804 1
 
0.6%
38807 3
1.9%
38809 1
 
0.6%
38810 2
1.3%
38813 1
 
0.6%
38814 1
 
0.6%
38816 2
1.3%
ValueCountFrequency (%)
38912 1
 
0.6%
38911 1
 
0.6%
38909 4
 
2.5%
38907 6
 
3.8%
38905 1
 
0.6%
38901 3
 
1.9%
38900 2
 
1.3%
38899 21
13.2%
38898 17
10.7%
38897 1
 
0.6%

Interactions

2023-12-13T07:16:52.271671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:50.991633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.440504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.874699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:52.398420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.109866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.558109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.984964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:52.507227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.219747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.666262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:52.073436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:52.600616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.315237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:51.770577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:16:52.170329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:16:56.573929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명위도경도우편번호
연번1.0000.9950.2980.0000.254
업종명0.9951.0000.1200.0920.283
위도0.2980.1201.0000.8140.885
경도0.0000.0920.8141.0000.872
우편번호0.2540.2830.8850.8721.000
2023-12-13T07:16:56.670576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도우편번호업종명
연번1.000-0.1050.0370.0260.916
위도-0.1051.000-0.106-0.8520.087
경도0.037-0.1061.0000.2910.000
우편번호0.026-0.8520.2911.0000.202
업종명0.9160.0870.0000.2021.000

Missing values

2023-12-13T07:16:52.749212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:16:52.890696image/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

연번업종명업소명소재지주소위도경도우편번호
01집단급식소영천희망원경상북도 영천시 한방로 195-6 (작산동)35.940934128.94904938897
12집단급식소북안초등학교급식소경상북도 영천시 북안면 운북로 198435.914791129.01041638907
23집단급식소청통초등학교경상북도 영천시 청통면 청통초등길 4335.995254128.82360838869
34집단급식소영남대학교영천병원경상북도 영천시 오수1길 10 (오수동)35.957087128.91278238840
45집단급식소(주)화신경상북도 영천시 언하공단1길 14, c동 (언하동)35.990577128.96031338828
56집단급식소동일금속구내식당경상북도 영천시 금호읍 금호로 635.928127128.86186238881
67집단급식소구영구내식당경상북도 영천시 북안면 북안공단길 3835.93277128.99764638905
78집단급식소신녕초등학교경상북도 영천시 신녕면 큰골길 936.047233128.78993438803
89집단급식소자천초등학교경상북도 영천시 화북면 화북길 7536.109857128.92069238813
910집단급식소지곡초등학교경상북도 영천시 화남면 천문로 1597-536.06015128.89111838810
연번업종명업소명소재지주소위도경도우편번호
149150위탁급식영업새싹푸드경상북도 영천시 도남공단길 16, 화진 (도남동)35.929948128.93639538898
150151위탁급식영업새싹푸드경상북도 영천시 금호읍 영천산단로 15535.910298128.94459438899
151152위탁급식영업(주)씨제이프레시웨이 포레시아 임고경상북도 영천시 임고면 신선로 54936.04808128.96802638816
152153위탁급식영업(주)씨제이프레시웨이 포레시아 금호경상북도 영천시 금호읍 금창로 208-835.916777128.88335538882
153154위탁급식영업신세계푸드 세원물산채신공장경상북도 영천시 금호읍 영천산단로 34035.915733128.94694238899
154155위탁급식영업신세계푸드 세원이엔아이경상북도 영천시 도남공단2길 35, 세원이엔아이 (도남동)35.930149128.93716238898
155156위탁급식영업화산식당경상북도 영천시 칠백로 754, 유진정밀(주) (도남동)35.92741128.93352838898
156157위탁급식영업푸디스트 영천제이병원점경상북도 영천시 호국로 145, 영천제이병원 (망정동)35.976927128.95305138831
157158위탁급식영업(주)성민푸드경상북도 영천시 금호읍 고수골길 22, 경상북도보건환경연구원35.953599128.90573638874
158159위탁급식영업세현푸드경상북도 영천시 언하공단4길 29 (망정동)35.983951128.96056538829