Overview

Dataset statistics

Number of variables7
Number of observations486
Missing cells48
Missing cells (%)1.4%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory27.2 KiB
Average record size in memory57.3 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description경상북도 포항시에 설치신고된 집단급식소 현황에 관한 데이터로 포항시 집단 급식소명, 소재지(도로명, 지번), 전화번호, 급식인원 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15113357/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
소재지(도로명) has 6 (1.2%) missing valuesMissing
소재지전화 has 41 (8.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:38:20.200645
Analysis finished2023-12-12 19:38:21.087665
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
집단급식소
486 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 486
100.0%

Length

2023-12-13T04:38:21.146076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:38:21.241626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 486
100.0%

업소명
Text

Distinct483
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-13T04:38:21.442161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.9897119
Min length3

Characters and Unicode

Total characters4855
Distinct characters365
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

Unique480 ?
Unique (%)98.8%

Sample

1st row포항성모병원
2nd row주식회사 포스코디엑스
3rd row포스코건설(주) 급식소
4th row포항공과대학교복지회
5th row(주)대호특수강포항급식소
ValueCountFrequency (%)
급식소 147
 
19.9%
어린이집 17
 
2.3%
의료법인 7
 
0.9%
사)제철복지회 4
 
0.5%
주식회사 4
 
0.5%
포스코 3
 
0.4%
시립 3
 
0.4%
포항2공장 3
 
0.4%
현대제철(주)1공장 2
 
0.3%
은성의료재단 2
 
0.3%
Other values (535) 547
74.0%
2023-12-13T04:38:21.812768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
 
5.2%
식 236
 
4.9%
소 221
 
4.6%
급 218
 
4.5%
포 144
 
3.0%
이 143
 
2.9%
원 135
 
2.8%
학 135
 
2.8%
교 124
 
2.6%
항 123
 
2.5%
Other values (355) 3123
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4332
89.2%
Space Separator 253
 
5.2%
Close Punctuation 101
 
2.1%
Open Punctuation 101
 
2.1%
Uppercase Letter 38
 
0.8%
Decimal Number 24
 
0.5%
Lowercase Letter 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 236
 
5.4%
소 221
 
5.1%
급 218
 
5.0%
포 144
 
3.3%
이 143
 
3.3%
원 135
 
3.1%
학 135
 
3.1%
교 124
 
2.9%
항 123
 
2.8%
집 108
 
2.5%
Other values (328) 2745
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
18.4%
C 5
13.2%
P 5
13.2%
M 3
7.9%
A 3
7.9%
E 3
7.9%
L 2
 
5.3%
T 2
 
5.3%
H 2
 
5.3%
O 2
 
5.3%
Other values (3) 4
10.5%
Decimal Number
ValueCountFrequency (%)
2 11
45.8%
1 7
29.2%
3 2
 
8.3%
5 2
 
8.3%
6 2
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
i 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
. 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4332
89.2%
Common 482
 
9.9%
Latin 41
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 236
 
5.4%
소 221
 
5.1%
급 218
 
5.0%
포 144
 
3.3%
이 143
 
3.3%
원 135
 
3.1%
학 135
 
3.1%
교 124
 
2.9%
항 123
 
2.8%
집 108
 
2.5%
Other values (328) 2745
63.4%
Latin
ValueCountFrequency (%)
S 7
17.1%
C 5
12.2%
P 5
12.2%
M 3
7.3%
A 3
7.3%
E 3
7.3%
L 2
 
4.9%
T 2
 
4.9%
H 2
 
4.9%
O 2
 
4.9%
Other values (6) 7
17.1%
Common
ValueCountFrequency (%)
253
52.5%
) 101
 
21.0%
( 101
 
21.0%
2 11
 
2.3%
1 7
 
1.5%
3 2
 
0.4%
5 2
 
0.4%
6 2
 
0.4%
& 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4332
89.2%
ASCII 523
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
48.4%
) 101
 
19.3%
( 101
 
19.3%
2 11
 
2.1%
S 7
 
1.3%
1 7
 
1.3%
C 5
 
1.0%
P 5
 
1.0%
M 3
 
0.6%
A 3
 
0.6%
Other values (17) 27
 
5.2%
Hangul
ValueCountFrequency (%)
식 236
 
5.4%
소 221
 
5.1%
급 218
 
5.0%
포 144
 
3.3%
이 143
 
3.3%
원 135
 
3.1%
학 135
 
3.1%
교 124
 
2.9%
항 123
 
2.8%
집 108
 
2.5%
Other values (328) 2745
63.4%

소재지(도로명)
Text

MISSING 

Distinct467
Distinct (%)97.3%
Missing6
Missing (%)1.2%
Memory size3.9 KiB
2023-12-13T04:38:22.131591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length28.272917
Min length21

Characters and Unicode

Total characters13571
Distinct characters247
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

Unique458 ?
Unique (%)95.4%

Sample

1st row경상북도 포항시 남구 대잠동길 17 (대잠동)
2nd row경상북도 포항시 남구 호동로 68 (호동)
3rd row경상북도 포항시 남구 대송로 180 (괴동동)
4th row경상북도 포항시 남구 서원재로 44 (호동)
5th row경상북도 포항시 남구 대송로 243 (괴동동)
ValueCountFrequency (%)
경상북도 480
 
15.7%
포항시 480
 
15.7%
북구 242
 
7.9%
남구 238
 
7.8%
흥해읍 57
 
1.9%
오천읍 42
 
1.4%
장성동 40
 
1.3%
1층 37
 
1.2%
장흥동 23
 
0.8%
연일읍 23
 
0.8%
Other values (707) 1387
45.5%
2023-12-13T04:38:22.698455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2569
18.9%
북 728
 
5.4%
도 554
 
4.1%
포 540
 
4.0%
항 505
 
3.7%
상 504
 
3.7%
구 497
 
3.7%
시 490
 
3.6%
경 482
 
3.6%
1 439
 
3.2%
Other values (237) 6263
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8339
61.4%
Space Separator 2569
 
18.9%
Decimal Number 1831
 
13.5%
Open Punctuation 312
 
2.3%
Close Punctuation 312
 
2.3%
Other Punctuation 93
 
0.7%
Dash Punctuation 92
 
0.7%
Uppercase Letter 23
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 728
 
8.7%
도 554
 
6.6%
포 540
 
6.5%
항 505
 
6.1%
상 504
 
6.0%
구 497
 
6.0%
시 490
 
5.9%
경 482
 
5.8%
로 424
 
5.1%
동 410
 
4.9%
Other values (209) 3205
38.4%
Uppercase Letter
ValueCountFrequency (%)
E 3
13.0%
B 2
8.7%
A 2
8.7%
C 2
8.7%
I 2
8.7%
S 2
8.7%
K 2
8.7%
V 2
8.7%
W 2
8.7%
M 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 439
24.0%
2 252
13.8%
3 202
11.0%
6 157
 
8.6%
5 153
 
8.4%
4 140
 
7.6%
0 138
 
7.5%
7 130
 
7.1%
9 113
 
6.2%
8 107
 
5.8%
Space Separator
ValueCountFrequency (%)
2569
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8339
61.4%
Common 5209
38.4%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 728
 
8.7%
도 554
 
6.6%
포 540
 
6.5%
항 505
 
6.1%
상 504
 
6.0%
구 497
 
6.0%
시 490
 
5.9%
경 482
 
5.8%
로 424
 
5.1%
동 410
 
4.9%
Other values (209) 3205
38.4%
Common
ValueCountFrequency (%)
2569
49.3%
1 439
 
8.4%
( 312
 
6.0%
) 312
 
6.0%
2 252
 
4.8%
3 202
 
3.9%
6 157
 
3.0%
5 153
 
2.9%
4 140
 
2.7%
0 138
 
2.6%
Other values (5) 535
 
10.3%
Latin
ValueCountFrequency (%)
E 3
13.0%
B 2
8.7%
A 2
8.7%
C 2
8.7%
I 2
8.7%
S 2
8.7%
K 2
8.7%
V 2
8.7%
W 2
8.7%
M 1
 
4.3%
Other values (3) 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8339
61.4%
ASCII 5232
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2569
49.1%
1 439
 
8.4%
( 312
 
6.0%
) 312
 
6.0%
2 252
 
4.8%
3 202
 
3.9%
6 157
 
3.0%
5 153
 
2.9%
4 140
 
2.7%
0 138
 
2.6%
Other values (18) 558
 
10.7%
Hangul
ValueCountFrequency (%)
북 728
 
8.7%
도 554
 
6.6%
포 540
 
6.5%
항 505
 
6.1%
상 504
 
6.0%
구 497
 
6.0%
시 490
 
5.9%
경 482
 
5.8%
로 424
 
5.1%
동 410
 
4.9%
Other values (209) 3205
38.4%

소재지(지번)
Text

Distinct476
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-13T04:38:23.069855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.50823
Min length18

Characters and Unicode

Total characters11911
Distinct characters234
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

Unique468 ?
Unique (%)96.3%

Sample

1st row경상북도 포항시 남구 대잠동 270-1
2nd row경상북도 포항시 남구 호동 606
3rd row경상북도 포항시 남구 괴동동 568-1
4th row경상북도 포항시 남구 효자동 산 31
5th row경상북도 포항시 남구 호동 597
ValueCountFrequency (%)
경상북도 486
17.6%
포항시 486
17.6%
남구 243
 
8.8%
북구 243
 
8.8%
흥해읍 58
 
2.1%
오천읍 44
 
1.6%
장성동 40
 
1.4%
장흥동 23
 
0.8%
연일읍 23
 
0.8%
죽도동 20
 
0.7%
Other values (673) 1103
39.8%
2023-12-13T04:38:23.609722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2769
23.2%
북 731
 
6.1%
도 550
 
4.6%
포 541
 
4.5%
구 506
 
4.2%
항 506
 
4.2%
상 496
 
4.2%
시 494
 
4.1%
경 487
 
4.1%
1 412
 
3.5%
Other values (224) 4419
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6946
58.3%
Space Separator 2769
 
23.2%
Decimal Number 1860
 
15.6%
Dash Punctuation 286
 
2.4%
Uppercase Letter 21
 
0.2%
Other Punctuation 11
 
0.1%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 731
 
10.5%
도 550
 
7.9%
포 541
 
7.8%
구 506
 
7.3%
항 506
 
7.3%
상 496
 
7.1%
시 494
 
7.1%
경 487
 
7.0%
동 349
 
5.0%
남 252
 
3.6%
Other values (196) 2034
29.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
9.5%
V 2
9.5%
W 2
9.5%
E 2
9.5%
I 2
9.5%
K 2
9.5%
S 2
9.5%
C 2
9.5%
A 1
 
4.8%
M 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 412
22.2%
4 201
10.8%
5 191
10.3%
2 180
9.7%
3 178
9.6%
6 161
 
8.7%
0 149
 
8.0%
8 133
 
7.2%
7 133
 
7.2%
9 122
 
6.6%
Space Separator
ValueCountFrequency (%)
2769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6946
58.3%
Common 4944
41.5%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 731
 
10.5%
도 550
 
7.9%
포 541
 
7.8%
구 506
 
7.3%
항 506
 
7.3%
상 496
 
7.1%
시 494
 
7.1%
경 487
 
7.0%
동 349
 
5.0%
남 252
 
3.6%
Other values (196) 2034
29.3%
Common
ValueCountFrequency (%)
2769
56.0%
1 412
 
8.3%
- 286
 
5.8%
4 201
 
4.1%
5 191
 
3.9%
2 180
 
3.6%
3 178
 
3.6%
6 161
 
3.3%
0 149
 
3.0%
8 133
 
2.7%
Other values (5) 284
 
5.7%
Latin
ValueCountFrequency (%)
B 2
9.5%
V 2
9.5%
W 2
9.5%
E 2
9.5%
I 2
9.5%
K 2
9.5%
S 2
9.5%
C 2
9.5%
A 1
 
4.8%
M 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6946
58.3%
ASCII 4965
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2769
55.8%
1 412
 
8.3%
- 286
 
5.8%
4 201
 
4.0%
5 191
 
3.8%
2 180
 
3.6%
3 178
 
3.6%
6 161
 
3.2%
0 149
 
3.0%
8 133
 
2.7%
Other values (18) 305
 
6.1%
Hangul
ValueCountFrequency (%)
북 731
 
10.5%
도 550
 
7.9%
포 541
 
7.8%
구 506
 
7.3%
항 506
 
7.3%
상 496
 
7.1%
시 494
 
7.1%
경 487
 
7.0%
동 349
 
5.0%
남 252
 
3.6%
Other values (196) 2034
29.3%

소재지전화
Text

MISSING 

Distinct440
Distinct (%)98.9%
Missing41
Missing (%)8.4%
Memory size3.9 KiB
2023-12-13T04:38:23.929556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002247
Min length12

Characters and Unicode

Total characters5341
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)97.8%

Sample

1st row054-289-4761
2nd row054-280-1138
3rd row054-223-6040
4th row054-279-2643
5th row054-289-5213
ValueCountFrequency (%)
054-271-5541 2
 
0.4%
054-278-2783 2
 
0.4%
054-275-0005 2
 
0.4%
054-271-1249 2
 
0.4%
054-278-2841 2
 
0.4%
054-250-7500 1
 
0.2%
054-261-6622 1
 
0.2%
054-256-7582 1
 
0.2%
054-250-7819 1
 
0.2%
054-291-6833 1
 
0.2%
Other values (430) 430
96.6%
2023-12-13T04:38:24.427875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 890
16.7%
0 857
16.0%
5 742
13.9%
2 722
13.5%
4 688
12.9%
1 307
 
5.7%
7 275
 
5.1%
8 265
 
5.0%
3 221
 
4.1%
6 205
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4451
83.3%
Dash Punctuation 890
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 857
19.3%
5 742
16.7%
2 722
16.2%
4 688
15.5%
1 307
 
6.9%
7 275
 
6.2%
8 265
 
6.0%
3 221
 
5.0%
6 205
 
4.6%
9 169
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 890
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 890
16.7%
0 857
16.0%
5 742
13.9%
2 722
13.5%
4 688
12.9%
1 307
 
5.7%
7 275
 
5.1%
8 265
 
5.0%
3 221
 
4.1%
6 205
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 890
16.7%
0 857
16.0%
5 742
13.9%
2 722
13.5%
4 688
12.9%
1 307
 
5.7%
7 275
 
5.1%
8 265
 
5.0%
3 221
 
4.1%
6 205
 
3.8%

평균급식인원수
Real number (ℝ)

Distinct202
Distinct (%)41.6%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean278.12165
Minimum0
Maximum1856
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-13T04:38:24.662084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q160
median105
Q3270
95-th percentile1200
Maximum1856
Range1856
Interquartile range (IQR)210

Descriptive statistics

Standard deviation378.20398
Coefficient of variation (CV)1.3598509
Kurtosis3.8475705
Mean278.12165
Median Absolute Deviation (MAD)55
Skewness2.1150524
Sum134889
Variance143038.25
MonotonicityNot monotonic
2023-12-13T04:38:24.837039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 24
 
4.9%
100 16
 
3.3%
90 14
 
2.9%
55 14
 
2.9%
150 13
 
2.7%
60 13
 
2.7%
70 13
 
2.7%
200 12
 
2.5%
80 11
 
2.3%
130 9
 
1.9%
Other values (192) 346
71.2%
ValueCountFrequency (%)
0 3
0.6%
19 1
 
0.2%
20 1
 
0.2%
22 2
0.4%
25 1
 
0.2%
26 1
 
0.2%
27 3
0.6%
30 2
0.4%
32 2
0.4%
33 1
 
0.2%
ValueCountFrequency (%)
1856 1
0.2%
1800 2
0.4%
1771 1
0.2%
1745 1
0.2%
1700 2
0.4%
1570 1
0.2%
1400 1
0.2%
1365 1
0.2%
1358 1
0.2%
1350 2
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-04-14
486 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-14
2nd row2023-04-14
3rd row2023-04-14
4th row2023-04-14
5th row2023-04-14

Common Values

ValueCountFrequency (%)
2023-04-14 486
100.0%

Length

2023-12-13T04:38:24.996278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:38:25.111887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-14 486
100.0%

Interactions

2023-12-13T04:38:20.662832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T04:38:20.799935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:38:20.927896image/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.
2023-12-13T04:38:21.036273image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화평균급식인원수데이터기준일자
0집단급식소포항성모병원경상북도 포항시 남구 대잠동길 17 (대잠동)경상북도 포항시 남구 대잠동 270-1054-289-47617002023-04-14
1집단급식소주식회사 포스코디엑스경상북도 포항시 남구 호동로 68 (호동)경상북도 포항시 남구 호동 606054-280-11382702023-04-14
2집단급식소포스코건설(주) 급식소경상북도 포항시 남구 대송로 180 (괴동동)경상북도 포항시 남구 괴동동 568-1054-223-60401502023-04-14
3집단급식소포항공과대학교복지회<NA>경상북도 포항시 남구 효자동 산 31054-279-264310002023-04-14
4집단급식소(주)대호특수강포항급식소경상북도 포항시 남구 서원재로 44 (호동)경상북도 포항시 남구 호동 597054-289-5213652023-04-14
5집단급식소포스코스틸리온(주) 컬러공장 급식소경상북도 포항시 남구 대송로 243 (괴동동)경상북도 포항시 남구 괴동동 501-1054-280-6612802023-04-14
6집단급식소성모자애원 마리아의집경상북도 포항시 남구 대잠동길 17-1 (대잠동)경상북도 포항시 남구 대잠동 270-2054-272-0586902023-04-14
7집단급식소대보초등학교 급식소경상북도 포항시 남구 호미곶면 보천길 16경상북도 포항시 남구 호미곶면 구만리 123054-284-95923402023-04-14
8집단급식소동일산업(주)경상북도 포항시 남구 대송로 111 (장흥동)경상북도 포항시 남구 장흥동 140-3054-285-72511502023-04-14
9집단급식소현대종합특수강경상북도 포항시 남구 대송로 151 (괴동동, (5동, 31동))경상북도 포항시 남구 괴동동 792-1054-289-35371602023-04-14
업종명업소명소재지(도로명)소재지(지번)소재지전화평균급식인원수데이터기준일자
476집단급식소엘림소망의집경상북도 포항시 북구 송라면 동해대로 2792-100경상북도 포항시 북구 송라면 하송리 80-1054-256-6003462023-04-14
477집단급식소두호SK뷰어린이집(1단지)경상북도 포항시 북구 두호로 66, 관리동 (두호동, 두호 SK VIEW 푸르지오)경상북도 포항시 북구 두호동 1022 두호 SK VIEW 푸르지오054-610-1717602023-04-14
478집단급식소창포종합사회복지관경상북도 포항시 북구 새천년대로 1099, 창포종합사회복지관 1층 (창포동)경상북도 포항시 북구 창포동 645-9<NA>2002023-04-14
479집단급식소해군6전단 영외자식당경상북도 포항시 남구 동해안로 6001 (청림동)경상북도 포항시 남구 청림동 90-1<NA>872023-04-14
480집단급식소에코프로비엠 3캠퍼스<NA>경상북도 포항시 북구 흥해읍 곡강리 1669054-720-24001462023-04-14
481집단급식소스위티어린이집경상북도 포항시 북구 학전로 53, 관리동 (학산동, 영일대우방아이유쉘)경상북도 포항시 북구 학산동 349 영일대우방아이유쉘<NA>512023-04-14
482집단급식소우현아이원 어린이집경상북도 포항시 북구 우창동로 71, 관리동 1층 (우현동, 풍림아이원아파트)경상북도 포항시 북구 우현동 산 15-5 풍림아이원아파트054-252-5991552023-04-14
483집단급식소흥해서부초등학교경상북도 포항시 북구 흥해읍 북송길 53, 흥해서부초등학교경상북도 포항시 북구 흥해읍 매산리 1-6 흥해서부초등학교054-262-27351382023-04-14
484집단급식소포항장량유치원경상북도 포항시 북구 장량로262번길 13, 포항장량유치원 (양덕동)경상북도 포항시 북구 양덕동 2169 포항장량유치원054-727-60051702023-04-14
485집단급식소우리요양원경상북도 포항시 남구 오천읍 중원로 63, 우리요양원 4층경상북도 포항시 남구 오천읍 원리 1009054-291-0101552023-04-14

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화평균급식인원수데이터기준일자# duplicates
0집단급식소유강중학교 급식소경상북도 포항시 남구 연일읍 유강길 52경상북도 포항시 남구 연일읍 유강리 143-5054-278-278310702023-04-142