Overview

Dataset statistics

Number of variables7
Number of observations482
Missing cells70
Missing cells (%)2.1%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory27.0 KiB
Average record size in memory57.3 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description경상북도 포항시 집단급식소 현황에 관한 데이터로 포항시 집단 급식소명, 소재지, 전화번호, 급식인원 등의 정보를 제공합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15030304/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
소재지전화 has 38 (7.9%) missing valuesMissing
평균급식인원수 has 28 (5.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:16:15.132722
Analysis finished2023-12-12 07:16:16.073611
Duration0.94 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
482 

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 482
100.0%

Length

2023-12-12T16:16:16.133874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:16:16.219956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 482
100.0%
Distinct480
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T16:16:16.440082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length9.9896266
Min length3

Characters and Unicode

Total characters4815
Distinct characters363
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

Unique478 ?
Unique (%)99.2%

Sample

1st row포항성모병원
2nd row포스코ICT 급식소
3rd row포스코건설(주) 급식소
4th row포항공과대학교복지회
5th row(주)대호특수강포항급식소
ValueCountFrequency (%)
급식소 155
 
20.9%
어린이집 18
 
2.4%
의료법인 7
 
0.9%
사)제철복지회 5
 
0.7%
포스코 4
 
0.5%
주식회사 4
 
0.5%
포항시 3
 
0.4%
시립 3
 
0.4%
구내식당 2
 
0.3%
경상북도 2
 
0.3%
Other values (528) 539
72.6%
2023-12-12T16:16:16.818546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
5.4%
245
 
5.1%
231
 
4.8%
226
 
4.7%
146
 
3.0%
141
 
2.9%
135
 
2.8%
130
 
2.7%
124
 
2.6%
121
 
2.5%
Other values (353) 3056
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4289
89.1%
Space Separator 260
 
5.4%
Close Punctuation 99
 
2.1%
Open Punctuation 99
 
2.1%
Uppercase Letter 44
 
0.9%
Decimal Number 20
 
0.4%
Other Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
245
 
5.7%
231
 
5.4%
226
 
5.3%
146
 
3.4%
141
 
3.3%
135
 
3.1%
130
 
3.0%
124
 
2.9%
121
 
2.8%
110
 
2.6%
Other values (328) 2680
62.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
15.9%
S 7
15.9%
P 5
11.4%
T 4
9.1%
M 4
9.1%
E 3
6.8%
I 3
6.8%
A 3
6.8%
L 2
 
4.5%
O 2
 
4.5%
Other values (3) 4
9.1%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
1 6
30.0%
5 2
 
10.0%
3 1
 
5.0%
6 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4289
89.1%
Common 481
 
10.0%
Latin 45
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
245
 
5.7%
231
 
5.4%
226
 
5.3%
146
 
3.4%
141
 
3.3%
135
 
3.1%
130
 
3.0%
124
 
2.9%
121
 
2.8%
110
 
2.6%
Other values (328) 2680
62.5%
Latin
ValueCountFrequency (%)
C 7
15.6%
S 7
15.6%
P 5
11.1%
T 4
8.9%
M 4
8.9%
E 3
6.7%
I 3
6.7%
A 3
6.7%
L 2
 
4.4%
O 2
 
4.4%
Other values (4) 5
11.1%
Common
ValueCountFrequency (%)
260
54.1%
) 99
 
20.6%
( 99
 
20.6%
2 10
 
2.1%
1 6
 
1.2%
5 2
 
0.4%
3 1
 
0.2%
6 1
 
0.2%
, 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4289
89.1%
ASCII 526
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
49.4%
) 99
 
18.8%
( 99
 
18.8%
2 10
 
1.9%
C 7
 
1.3%
S 7
 
1.3%
1 6
 
1.1%
P 5
 
1.0%
T 4
 
0.8%
M 4
 
0.8%
Other values (15) 25
 
4.8%
Hangul
ValueCountFrequency (%)
245
 
5.7%
231
 
5.4%
226
 
5.3%
146
 
3.4%
141
 
3.3%
135
 
3.1%
130
 
3.0%
124
 
2.9%
121
 
2.8%
110
 
2.6%
Other values (328) 2680
62.5%
Distinct464
Distinct (%)97.1%
Missing4
Missing (%)0.8%
Memory size3.9 KiB
2023-12-12T16:16:17.162930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length28.041841
Min length21

Characters and Unicode

Total characters13404
Distinct characters237
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

Unique454 ?
Unique (%)95.0%

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 478
 
15.9%
포항시 478
 
15.9%
남구 241
 
8.0%
북구 237
 
7.9%
흥해읍 54
 
1.8%
장성동 42
 
1.4%
오천읍 41
 
1.4%
1층 35
 
1.2%
장흥동 23
 
0.8%
연일읍 23
 
0.8%
Other values (691) 1360
45.2%
2023-12-12T16:16:17.665369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2534
18.9%
720
 
5.4%
553
 
4.1%
533
 
4.0%
502
 
3.7%
499
 
3.7%
492
 
3.7%
487
 
3.6%
479
 
3.6%
1 447
 
3.3%
Other values (227) 6158
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8219
61.3%
Space Separator 2534
 
18.9%
Decimal Number 1838
 
13.7%
Open Punctuation 312
 
2.3%
Close Punctuation 312
 
2.3%
Dash Punctuation 95
 
0.7%
Other Punctuation 77
 
0.6%
Uppercase Letter 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
720
 
8.8%
553
 
6.7%
533
 
6.5%
502
 
6.1%
499
 
6.1%
492
 
6.0%
487
 
5.9%
479
 
5.8%
423
 
5.1%
407
 
5.0%
Other values (200) 3124
38.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
17.6%
C 2
11.8%
I 2
11.8%
B 2
11.8%
G 1
 
5.9%
E 1
 
5.9%
M 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%
H 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 447
24.3%
2 256
13.9%
3 201
10.9%
6 156
 
8.5%
5 153
 
8.3%
4 145
 
7.9%
0 136
 
7.4%
7 127
 
6.9%
8 109
 
5.9%
9 108
 
5.9%
Space Separator
ValueCountFrequency (%)
2534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8219
61.3%
Common 5168
38.6%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
720
 
8.8%
553
 
6.7%
533
 
6.5%
502
 
6.1%
499
 
6.1%
492
 
6.0%
487
 
5.9%
479
 
5.8%
423
 
5.1%
407
 
5.0%
Other values (200) 3124
38.0%
Common
ValueCountFrequency (%)
2534
49.0%
1 447
 
8.6%
( 312
 
6.0%
) 312
 
6.0%
2 256
 
5.0%
3 201
 
3.9%
6 156
 
3.0%
5 153
 
3.0%
4 145
 
2.8%
0 136
 
2.6%
Other values (5) 516
 
10.0%
Latin
ValueCountFrequency (%)
A 3
17.6%
C 2
11.8%
I 2
11.8%
B 2
11.8%
G 1
 
5.9%
E 1
 
5.9%
M 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%
H 1
 
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8219
61.3%
ASCII 5185
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2534
48.9%
1 447
 
8.6%
( 312
 
6.0%
) 312
 
6.0%
2 256
 
4.9%
3 201
 
3.9%
6 156
 
3.0%
5 153
 
3.0%
4 145
 
2.8%
0 136
 
2.6%
Other values (17) 533
 
10.3%
Hangul
ValueCountFrequency (%)
720
 
8.8%
553
 
6.7%
533
 
6.5%
502
 
6.1%
499
 
6.1%
492
 
6.0%
487
 
5.9%
479
 
5.8%
423
 
5.1%
407
 
5.0%
Other values (200) 3124
38.0%
Distinct471
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T16:16:18.033157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length24.307054
Min length18

Characters and Unicode

Total characters11716
Distinct characters221
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

Unique462 ?
Unique (%)95.9%

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 482
17.7%
포항시 482
17.7%
남구 245
 
9.0%
북구 237
 
8.7%
흥해읍 54
 
2.0%
오천읍 42
 
1.5%
장성동 42
 
1.5%
연일읍 23
 
0.8%
장흥동 23
 
0.8%
죽도동 20
 
0.7%
Other values (656) 1075
39.4%
2023-12-12T16:16:18.505444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2725
23.3%
721
 
6.2%
546
 
4.7%
534
 
4.6%
500
 
4.3%
499
 
4.3%
492
 
4.2%
489
 
4.2%
482
 
4.1%
1 406
 
3.5%
Other values (211) 4322
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6806
58.1%
Space Separator 2725
23.3%
Decimal Number 1853
 
15.8%
Dash Punctuation 290
 
2.5%
Uppercase Letter 14
 
0.1%
Other Punctuation 12
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
721
 
10.6%
546
 
8.0%
534
 
7.8%
500
 
7.3%
499
 
7.3%
492
 
7.2%
489
 
7.2%
482
 
7.1%
352
 
5.2%
254
 
3.7%
Other values (187) 1937
28.5%
Decimal Number
ValueCountFrequency (%)
1 406
21.9%
4 202
10.9%
5 195
10.5%
2 182
9.8%
3 178
9.6%
6 157
 
8.5%
0 144
 
7.8%
7 136
 
7.3%
8 133
 
7.2%
9 120
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
B 2
14.3%
I 2
14.3%
C 2
14.3%
M 1
 
7.1%
H 1
 
7.1%
L 1
 
7.1%
N 1
 
7.1%
G 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6806
58.1%
Common 4896
41.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
721
 
10.6%
546
 
8.0%
534
 
7.8%
500
 
7.3%
499
 
7.3%
492
 
7.2%
489
 
7.2%
482
 
7.1%
352
 
5.2%
254
 
3.7%
Other values (187) 1937
28.5%
Common
ValueCountFrequency (%)
2725
55.7%
1 406
 
8.3%
- 290
 
5.9%
4 202
 
4.1%
5 195
 
4.0%
2 182
 
3.7%
3 178
 
3.6%
6 157
 
3.2%
0 144
 
2.9%
7 136
 
2.8%
Other values (5) 281
 
5.7%
Latin
ValueCountFrequency (%)
A 3
21.4%
B 2
14.3%
I 2
14.3%
C 2
14.3%
M 1
 
7.1%
H 1
 
7.1%
L 1
 
7.1%
N 1
 
7.1%
G 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6806
58.1%
ASCII 4910
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2725
55.5%
1 406
 
8.3%
- 290
 
5.9%
4 202
 
4.1%
5 195
 
4.0%
2 182
 
3.7%
3 178
 
3.6%
6 157
 
3.2%
0 144
 
2.9%
7 136
 
2.8%
Other values (14) 295
 
6.0%
Hangul
ValueCountFrequency (%)
721
 
10.6%
546
 
8.0%
534
 
7.8%
500
 
7.3%
499
 
7.3%
492
 
7.2%
489
 
7.2%
482
 
7.1%
352
 
5.2%
254
 
3.7%
Other values (187) 1937
28.5%

소재지전화
Text

MISSING 

Distinct437
Distinct (%)98.4%
Missing38
Missing (%)7.9%
Memory size3.9 KiB
2023-12-12T16:16:18.766102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002252
Min length12

Characters and Unicode

Total characters5329
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

Unique430 ?
Unique (%)96.8%

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
 
0.5%
054-278-2783 2
 
0.5%
054-275-0005 2
 
0.5%
054-278-2841 2
 
0.5%
054-271-1249 2
 
0.5%
054-221-9740 2
 
0.5%
054-252-8688 2
 
0.5%
054-249-2793 1
 
0.2%
054-250-1000 1
 
0.2%
054-252-7660 1
 
0.2%
Other values (427) 427
96.2%
2023-12-12T16:16:19.384987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 888
16.7%
0 845
15.9%
5 740
13.9%
2 717
13.5%
4 696
13.1%
1 300
 
5.6%
7 279
 
5.2%
8 275
 
5.2%
3 223
 
4.2%
6 200
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4441
83.3%
Dash Punctuation 888
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 845
19.0%
5 740
16.7%
2 717
16.1%
4 696
15.7%
1 300
 
6.8%
7 279
 
6.3%
8 275
 
6.2%
3 223
 
5.0%
6 200
 
4.5%
9 166
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 888
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 888
16.7%
0 845
15.9%
5 740
13.9%
2 717
13.5%
4 696
13.1%
1 300
 
5.6%
7 279
 
5.2%
8 275
 
5.2%
3 223
 
4.2%
6 200
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 888
16.7%
0 845
15.9%
5 740
13.9%
2 717
13.5%
4 696
13.1%
1 300
 
5.6%
7 279
 
5.2%
8 275
 
5.2%
3 223
 
4.2%
6 200
 
3.8%

평균급식인원수
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)42.7%
Missing28
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean296.57489
Minimum19
Maximum1856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-12T16:16:19.537945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile37.65
Q160
median105
Q3300
95-th percentile1243.3
Maximum1856
Range1837
Interquartile range (IQR)240

Descriptive statistics

Standard deviation393.0385
Coefficient of variation (CV)1.3252589
Kurtosis2.8893552
Mean296.57489
Median Absolute Deviation (MAD)55
Skewness1.9315509
Sum134645
Variance154479.26
MonotonicityNot monotonic
2023-12-12T16:16:19.670931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 24
 
5.0%
100 17
 
3.5%
60 14
 
2.9%
90 13
 
2.7%
150 11
 
2.3%
80 11
 
2.3%
55 11
 
2.3%
70 10
 
2.1%
200 10
 
2.1%
130 8
 
1.7%
Other values (184) 325
67.4%
(Missing) 28
 
5.8%
ValueCountFrequency (%)
19 1
 
0.2%
22 2
0.4%
25 1
 
0.2%
27 3
0.6%
30 1
 
0.2%
32 2
0.4%
33 1
 
0.2%
34 2
0.4%
35 2
0.4%
36 4
0.8%
ValueCountFrequency (%)
1856 1
0.2%
1800 2
0.4%
1745 1
0.2%
1700 2
0.4%
1570 1
0.2%
1451 1
0.2%
1400 1
0.2%
1380 1
0.2%
1366 1
0.2%
1365 1
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2021-10-15
482 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-15
2nd row2021-10-15
3rd row2021-10-15
4th row2021-10-15
5th row2021-10-15

Common Values

ValueCountFrequency (%)
2021-10-15 482
100.0%

Length

2023-12-12T16:16:19.796930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:16:19.878915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-15 482
100.0%

Interactions

2023-12-12T16:16:15.607083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T16:16:15.742573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:16:15.888159image/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.
2023-12-12T16:16:16.015288image/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 270-1054-289-47617002021-10-15
1집단급식소포스코ICT 급식소경상북도 포항시 남구 호동로 68 (호동)경상북도 포항시 남구 호동 606054-280-11382702021-10-15
2집단급식소포스코건설(주) 급식소경상북도 포항시 남구 대송로 180 (괴동동)경상북도 포항시 남구 괴동동 568-1054-223-60401502021-10-15
3집단급식소포항공과대학교복지회<NA>경상북도 포항시 남구 효자동 산 31054-279-264310002021-10-15
4집단급식소(주)대호특수강포항급식소경상북도 포항시 남구 서원재로 44 (호동)경상북도 포항시 남구 호동 597054-289-5213652021-10-15
5집단급식소포스코강판(주)컬러공장 급식소경상북도 포항시 남구 대송로 243 (괴동동)경상북도 포항시 남구 괴동동 501-1054-280-6612802021-10-15
6집단급식소성모자애원 마리아의집경상북도 포항시 남구 대잠동길 17-1 (대잠동)경상북도 포항시 남구 대잠동 270-2054-272-0586902021-10-15
7집단급식소대보초등학교 급식소경상북도 포항시 남구 호미곶면 보천길 16경상북도 포항시 남구 호미곶면 구만리 123054-284-95923402021-10-15
8집단급식소동일산업(주)경상북도 포항시 남구 대송로 111 (장흥동)경상북도 포항시 남구 장흥동 140-3054-285-72511502021-10-15
9집단급식소현대종합특수강경상북도 포항시 남구 대송로 151 (괴동동, (5동, 31동))경상북도 포항시 남구 괴동동 792-1054-289-35371602021-10-15
업종명업소명소재지(도로명)소재지(지번)소재지전화평균급식인원수데이터기준일자
472집단급식소프라임어린이집경상북도 포항시 북구 대곡로 55-23, 1층 (두호동)경상북도 포항시 북구 두호동 1096-10 ,1층054-248-2620512021-10-15
473집단급식소호반어린이집경상북도 포항시 북구 흥해읍 초곡지구로 176, 1층 (포항초곡호반베르디움)경상북도 포항시 북구 흥해읍 초곡리 1766 포항초곡호반베르디움<NA>502021-10-15
474집단급식소코아루빛솔어린이집경상북도 포항시 남구 오천읍 해병로489번길 9, 1층 (신문덕코아루 아파트)경상북도 포항시 남구 오천읍 문덕리 1359 신문덕코아루 아파트 1층<NA><NA>2021-10-15
475집단급식소서포중포항보건고등학교 급식소경상북도 포항시 북구 죽장면 일광길 2, 서포중포항보건고등학교 급식실 15동 1층경상북도 포항시 북구 죽장면 입암리 643-1 서포중포항보건고등학교 급식실 15동 1층054-243-3203552021-10-15
476집단급식소포항제철소 중앙대식당경상북도 포항시 남구 동해안로 6262 (동촌동)경상북도 포항시 남구 동촌동 5054-220-0736<NA>2021-10-15
477집단급식소꽃동산어린이집경상북도 포항시 북구 법원로129번길 24-11, 1층 (장성동)경상북도 포항시 북구 장성동 1492-8 ,1층054-255-26201352021-10-15
478집단급식소나전복지마을경상북도 포항시 남구 장기면 장기로1229번길 39, 아동 1층경상북도 포항시 남구 장기면 정천리 403 ,아동 1층054-255-6001372021-10-15
479집단급식소맘앤키즈 어린이집경상북도 포항시 북구 흥해읍 도음로917번길 19, 1층경상북도 포항시 북구 흥해읍 학천리 401-4 ,1층<NA>602021-10-15
480집단급식소꽃밭에서 어린이집경상북도 포항시 북구 우창동로 76, 상가동 1층 (우현동, 삼도뷰엔빌더블유아파트)경상북도 포항시 북구 우현동 산 13-8 삼도뷰엔빌더블유아파트054-254-9955532021-10-15
481집단급식소행복지수어린이집경상북도 포항시 북구 새천년대로 1235, 110동 1층 (장성동, 두산 위브 더 제니스)경상북도 포항시 북구 장성동 1612 두산 위브 더 제니스054-221-9740672021-10-15

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화평균급식인원수데이터기준일자# duplicates
0집단급식소유강중학교 급식소경상북도 포항시 남구 연일읍 유강길 52경상북도 포항시 남구 연일읍 유강리 143-5054-278-278310702021-10-152