Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells50140
Missing cells (%)22.8%
Duplicate rows346
Duplicate rows (%)3.5%
Total size in memory1.8 MiB
Average record size in memory191.0 B

Variable types

Numeric7
Categorical7
Text4
Boolean4

Alerts

배식장소식당여부 has constant value ""Constant
배식장소교실여부 has constant value ""Constant
배식장소식당_교실여부 has constant value ""Constant
Dataset has 346 (3.5%) duplicate rowsDuplicates
설립구분명 is highly imbalanced (69.6%)Imbalance
제외여부 is highly imbalanced (95.8%)Imbalance
급식종류명 is highly imbalanced (89.0%)Imbalance
직영급식구분명 is highly imbalanced (68.6%)Imbalance
제외사유 has 9954 (99.5%) missing valuesMissing
일부위탁업체명 has 9910 (99.1%) missing valuesMissing
전체위탁업체명 has 9871 (98.7%) missing valuesMissing
전체학생수(명) has 125 (1.2%) missing valuesMissing
배식장소식당여부 has 3418 (34.2%) missing valuesMissing
배식장소교실여부 has 7615 (76.1%) missing valuesMissing
배식장소식당_교실여부 has 9016 (90.2%) missing valuesMissing
급식비율(%) has 130 (1.3%) zerosZeros
영양교사수(명) has 972 (9.7%) zerosZeros
조리사수(명) has 1069 (10.7%) zerosZeros
조리원수(명) has 809 (8.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:55:15.199704
Analysis finished2023-12-10 21:55:16.282769
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.2863
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:16.331420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2017
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6029315
Coefficient of variation (CV)0.0007945979
Kurtosis-1.1777013
Mean2017.2863
Median Absolute Deviation (MAD)1
Skewness0.069852466
Sum20172863
Variance2.5693892
MonotonicityNot monotonic
2023-12-11T06:55:16.444853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 1848
18.5%
2018 1844
18.4%
2016 1834
18.3%
2015 1797
18.0%
2017 1760
17.6%
2020 917
9.2%
ValueCountFrequency (%)
2015 1797
18.0%
2016 1834
18.3%
2017 1760
17.6%
2018 1844
18.4%
2019 1848
18.5%
2020 917
9.2%
ValueCountFrequency (%)
2020 917
9.2%
2019 1848
18.5%
2018 1844
18.4%
2017 1760
17.6%
2016 1834
18.3%
2015 1797
18.0%

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
850 
용인시
796 
고양시
675 
화성시
674 
성남시
662 
Other values (26)
6343 

Length

Max length4
Median length3
Mean length3.0864
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양시
2nd row성남시
3rd row화성시
4th row파주시
5th row의정부시

Common Values

ValueCountFrequency (%)
수원시 850
 
8.5%
용인시 796
 
8.0%
고양시 675
 
6.8%
화성시 674
 
6.7%
성남시 662
 
6.6%
부천시 548
 
5.5%
남양주시 487
 
4.9%
안산시 446
 
4.5%
파주시 418
 
4.2%
평택시 409
 
4.1%
Other values (21) 4035
40.4%

Length

2023-12-11T06:55:16.592020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 850
 
8.5%
용인시 796
 
8.0%
고양시 675
 
6.8%
화성시 674
 
6.7%
성남시 662
 
6.6%
부천시 548
 
5.5%
남양주시 487
 
4.9%
안산시 446
 
4.5%
파주시 418
 
4.2%
평택시 409
 
4.1%
Other values (21) 4035
40.4%
Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2045 
경기도화성오산교육지원청
694 
경기도용인교육지원청
674 
경기도수원교육지원청
660 
경기도고양교육지원청
 
515
Other values (22)
5412 

Length

Max length13
Median length10
Mean length9.7186
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도고양교육지원청
2nd row경기도교육청
3rd row경기도화성오산교육지원청
4th row경기도파주교육지원청
5th row경기도의정부교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 2045
20.4%
경기도화성오산교육지원청 694
 
6.9%
경기도용인교육지원청 674
 
6.7%
경기도수원교육지원청 660
 
6.6%
경기도고양교육지원청 515
 
5.1%
경기도성남교육지원청 500
 
5.0%
경기도구리남양주교육지원청 492
 
4.9%
경기도부천교육지원청 417
 
4.2%
경기도파주교육지원청 340
 
3.4%
경기도안산교육지원청 335
 
3.4%
Other values (17) 3328
33.3%

Length

2023-12-11T06:55:16.704073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2045
20.4%
경기도화성오산교육지원청 694
 
6.9%
경기도용인교육지원청 674
 
6.7%
경기도수원교육지원청 660
 
6.6%
경기도고양교육지원청 515
 
5.1%
경기도성남교육지원청 500
 
5.0%
경기도구리남양주교육지원청 492
 
4.9%
경기도부천교육지원청 417
 
4.2%
경기도파주교육지원청 340
 
3.4%
경기도안산교육지원청 335
 
3.4%
Other values (17) 3328
33.3%

지역명
Categorical

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
674
경기도 부천시
 
548
경기도 남양주시
 
487
경기도 파주시
 
418
경기도 평택시
 
409
Other values (37)
7464 

Length

Max length12
Median length7
Mean length8.6407
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 고양시 덕양구
2nd row경기도 성남시 분당구
3rd row경기도 화성시
4th row경기도 파주시
5th row경기도 의정부시

Common Values

ValueCountFrequency (%)
경기도 화성시 674
 
6.7%
경기도 부천시 548
 
5.5%
경기도 남양주시 487
 
4.9%
경기도 파주시 418
 
4.2%
경기도 평택시 409
 
4.1%
경기도 성남시 분당구 372
 
3.7%
경기도 김포시 328
 
3.3%
경기도 용인시 기흥구 310
 
3.1%
경기도 의정부시 303
 
3.0%
경기도 시흥시 289
 
2.9%
Other values (32) 5862
58.6%

Length

2023-12-11T06:55:16.813999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.0%
수원시 850
 
3.6%
용인시 796
 
3.3%
고양시 675
 
2.8%
화성시 674
 
2.8%
성남시 662
 
2.8%
부천시 548
 
2.3%
남양주시 487
 
2.0%
안산시 446
 
1.9%
파주시 418
 
1.8%
Other values (39) 8230
34.6%
Distinct2464
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:55:17.052767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2509
Min length4

Characters and Unicode

Total characters62509
Distinct characters335
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)1.5%

Sample

1st row화정중학교
2nd row판교고등학교
3rd row고정초등학교
4th row용연초등학교
5th row신곡중학교
ValueCountFrequency (%)
매원고등학교 10
 
0.1%
금릉초등학교 9
 
0.1%
북내초등학교 9
 
0.1%
석천초등학교 9
 
0.1%
삼성초등학교 9
 
0.1%
분당초등학교 9
 
0.1%
양벌초등학교 9
 
0.1%
신영초등학교 9
 
0.1%
운암중학교 9
 
0.1%
정자중학교 9
 
0.1%
Other values (2455) 9916
99.1%
2023-12-11T06:55:17.428315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10228
16.4%
10147
16.2%
7262
 
11.6%
5383
 
8.6%
2831
 
4.5%
2134
 
3.4%
681
 
1.1%
612
 
1.0%
611
 
1.0%
599
 
1.0%
Other values (325) 22021
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62387
99.8%
Lowercase Letter 96
 
0.2%
Uppercase Letter 18
 
< 0.1%
Space Separator 7
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10228
16.4%
10147
16.3%
7262
 
11.6%
5383
 
8.6%
2831
 
4.5%
2134
 
3.4%
681
 
1.1%
612
 
1.0%
611
 
1.0%
599
 
1.0%
Other values (311) 21899
35.1%
Lowercase Letter
ValueCountFrequency (%)
s 28
29.2%
i 14
14.6%
n 14
14.6%
e 12
12.5%
u 7
 
7.3%
g 7
 
7.3%
h 7
 
7.3%
l 7
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
38.9%
E 7
38.9%
T 2
 
11.1%
I 2
 
11.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62387
99.8%
Latin 114
 
0.2%
Common 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10228
16.4%
10147
16.3%
7262
 
11.6%
5383
 
8.6%
2831
 
4.5%
2134
 
3.4%
681
 
1.1%
612
 
1.0%
611
 
1.0%
599
 
1.0%
Other values (311) 21899
35.1%
Latin
ValueCountFrequency (%)
s 28
24.6%
i 14
12.3%
n 14
12.3%
e 12
10.5%
B 7
 
6.1%
u 7
 
6.1%
E 7
 
6.1%
g 7
 
6.1%
h 7
 
6.1%
l 7
 
6.1%
Other values (2) 4
 
3.5%
Common
ValueCountFrequency (%)
7
87.5%
1 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62387
99.8%
ASCII 122
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10228
16.4%
10147
16.3%
7262
 
11.6%
5383
 
8.6%
2831
 
4.5%
2134
 
3.4%
681
 
1.1%
612
 
1.0%
611
 
1.0%
599
 
1.0%
Other values (311) 21899
35.1%
ASCII
ValueCountFrequency (%)
s 28
23.0%
i 14
11.5%
n 14
11.5%
e 12
9.8%
B 7
 
5.7%
7
 
5.7%
u 7
 
5.7%
E 7
 
5.7%
g 7
 
5.7%
h 7
 
5.7%
Other values (4) 12
9.8%

학교급명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6350 
초등학교
1936 
중학교
940 
고등학교
706 
특수학교
 
55
Other values (2)
 
13

Length

Max length4
Median length4
Mean length3.9047
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중학교
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6350
63.5%
초등학교 1936
 
19.4%
중학교 940
 
9.4%
고등학교 706
 
7.1%
특수학교 55
 
0.5%
방통중 7
 
0.1%
방통고 6
 
0.1%

Length

2023-12-11T06:55:17.583932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:17.695107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6350
63.5%
초등학교 1936
 
19.4%
중학교 940
 
9.4%
고등학교 706
 
7.1%
특수학교 55
 
0.5%
방통중 7
 
0.1%
방통고 6
 
0.1%

설립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
8983 
사립
1008 
국립
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 8983
89.8%
사립 1008
 
10.1%
국립 9
 
0.1%

Length

2023-12-11T06:55:17.801255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:17.890784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 8983
89.8%
사립 1008
 
10.1%
국립 9
 
0.1%

제외여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9954 
True
 
46
ValueCountFrequency (%)
False 9954
99.5%
True 46
 
0.5%
2023-12-11T06:55:17.979943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Text

MISSING 

Distinct32
Distinct (%)69.6%
Missing9954
Missing (%)99.5%
Memory size156.2 KiB
2023-12-11T06:55:18.191652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length30
Mean length16.978261
Min length3

Characters and Unicode

Total characters781
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)45.7%

Sample

1st row학교특성상 제외
2nd row특수학교 전공과 및 유치부 제외
3rd row평균적으로 월 2회 일요일 수업으로 급식을 실시하지 않기에 제외
4th row유치부과정만 있어 교무업무시스템을 사용하지 못해 재적인원수가 0명이어서 입력후 마감이 되질 않아 제외시킵니다.
5th row방송통신고이므로 해당없음
ValueCountFrequency (%)
제외 13
 
7.1%
실시하지 11
 
6.0%
급식을 10
 
5.5%
급식 9
 
4.9%
않음 8
 
4.4%
미실시 7
 
3.8%
처리함 6
 
3.3%
해당없음 5
 
2.7%
없음 5
 
2.7%
해당사항 4
 
2.2%
Other values (67) 104
57.1%
2023-12-11T06:55:18.605580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
18.1%
24
 
3.1%
22
 
2.8%
21
 
2.7%
21
 
2.7%
21
 
2.7%
18
 
2.3%
18
 
2.3%
17
 
2.2%
17
 
2.2%
Other values (97) 461
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
78.0%
Space Separator 141
 
18.1%
Other Punctuation 15
 
1.9%
Decimal Number 6
 
0.8%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
3.9%
22
 
3.6%
21
 
3.4%
21
 
3.4%
21
 
3.4%
18
 
3.0%
18
 
3.0%
17
 
2.8%
17
 
2.8%
17
 
2.8%
Other values (91) 413
67.8%
Decimal Number
ValueCountFrequency (%)
2 5
83.3%
0 1
 
16.7%
Space Separator
ValueCountFrequency (%)
141
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
78.0%
Common 172
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
3.9%
22
 
3.6%
21
 
3.4%
21
 
3.4%
21
 
3.4%
18
 
3.0%
18
 
3.0%
17
 
2.8%
17
 
2.8%
17
 
2.8%
Other values (91) 413
67.8%
Common
ValueCountFrequency (%)
141
82.0%
. 15
 
8.7%
) 5
 
2.9%
( 5
 
2.9%
2 5
 
2.9%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
78.0%
ASCII 172
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
82.0%
. 15
 
8.7%
) 5
 
2.9%
( 5
 
2.9%
2 5
 
2.9%
0 1
 
0.6%
Hangul
ValueCountFrequency (%)
24
 
3.9%
22
 
3.6%
21
 
3.4%
21
 
3.4%
21
 
3.4%
18
 
3.0%
18
 
3.0%
17
 
2.8%
17
 
2.8%
17
 
2.8%
Other values (91) 413
67.8%

급식종류명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직영
9729 
일부위탁
 
134
전부위탁
 
89
<NA>
 
48

Length

Max length4
Median length2
Mean length2.0542
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 9729
97.3%
일부위탁 134
 
1.3%
전부위탁 89
 
0.9%
<NA> 48
 
0.5%

Length

2023-12-11T06:55:18.742392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:18.848483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 9729
97.3%
일부위탁 134
 
1.3%
전부위탁 89
 
0.9%
na 48
 
0.5%

직영급식구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
O
8839 
Y
890 
-
 
224
<NA>
 
47

Length

Max length4
Median length1
Mean length1.0141
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 8839
88.4%
Y 890
 
8.9%
- 224
 
2.2%
<NA> 47
 
0.5%

Length

2023-12-11T06:55:18.946904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:55:19.082033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 8839
88.4%
y 890
 
8.9%
224
 
2.2%
na 47
 
0.5%

일부위탁업체명
Text

MISSING 

Distinct53
Distinct (%)58.9%
Missing9910
Missing (%)99.1%
Memory size156.2 KiB
2023-12-11T06:55:19.304168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.3333333
Min length1

Characters and Unicode

Total characters660
Distinct characters131
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

Unique32 ?
Unique (%)35.6%

Sample

1st row(주)디에스푸드원
2nd row한사랑마을 시설 식당
3rd row안양여자고등학교
4th row안양여자고등학교
5th row대교D&amp;S
ValueCountFrequency (%)
주)푸드윈 5
 
4.9%
파주여자고등학교 5
 
4.9%
대신고등학교 4
 
3.9%
청운중고등학교 4
 
3.9%
품안의집 4
 
3.9%
향림재활원 4
 
3.9%
주)디에스푸드원 3
 
2.9%
mplusk파주지점 3
 
2.9%
주)드림푸드 3
 
2.9%
안양여자고등학교 3
 
2.9%
Other values (48) 64
62.7%
2023-12-11T06:55:19.659788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
5.5%
35
 
5.3%
( 30
 
4.5%
) 30
 
4.5%
30
 
4.5%
29
 
4.4%
27
 
4.1%
27
 
4.1%
24
 
3.6%
16
 
2.4%
Other values (121) 376
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
80.2%
Open Punctuation 30
 
4.5%
Close Punctuation 30
 
4.5%
Lowercase Letter 30
 
4.5%
Uppercase Letter 21
 
3.2%
Space Separator 16
 
2.4%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
6.8%
35
 
6.6%
30
 
5.7%
29
 
5.5%
27
 
5.1%
27
 
5.1%
24
 
4.5%
12
 
2.3%
10
 
1.9%
9
 
1.7%
Other values (104) 290
54.8%
Lowercase Letter
ValueCountFrequency (%)
p 8
26.7%
l 6
20.0%
u 6
20.0%
s 6
20.0%
m 2
 
6.7%
a 2
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 6
28.6%
M 6
28.6%
D 4
19.0%
S 3
14.3%
C 1
 
4.8%
F 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
; 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
80.2%
Common 80
 
12.1%
Latin 51
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
6.8%
35
 
6.6%
30
 
5.7%
29
 
5.5%
27
 
5.1%
27
 
5.1%
24
 
4.5%
12
 
2.3%
10
 
1.9%
9
 
1.7%
Other values (104) 290
54.8%
Latin
ValueCountFrequency (%)
p 8
15.7%
l 6
11.8%
u 6
11.8%
s 6
11.8%
K 6
11.8%
M 6
11.8%
D 4
7.8%
S 3
 
5.9%
m 2
 
3.9%
a 2
 
3.9%
Other values (2) 2
 
3.9%
Common
ValueCountFrequency (%)
( 30
37.5%
) 30
37.5%
16
20.0%
& 2
 
2.5%
; 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
80.2%
ASCII 131
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
6.8%
35
 
6.6%
30
 
5.7%
29
 
5.5%
27
 
5.1%
27
 
5.1%
24
 
4.5%
12
 
2.3%
10
 
1.9%
9
 
1.7%
Other values (104) 290
54.8%
ASCII
ValueCountFrequency (%)
( 30
22.9%
) 30
22.9%
16
12.2%
p 8
 
6.1%
l 6
 
4.6%
u 6
 
4.6%
s 6
 
4.6%
K 6
 
4.6%
M 6
 
4.6%
D 4
 
3.1%
Other values (7) 13
9.9%

전체위탁업체명
Text

MISSING 

Distinct60
Distinct (%)46.5%
Missing9871
Missing (%)98.7%
Memory size156.2 KiB
2023-12-11T06:55:19.895043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.0232558
Min length2

Characters and Unicode

Total characters906
Distinct characters132
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

Unique26 ?
Unique (%)20.2%

Sample

1st row비조리교
2nd row 주식회사온정fnb
3rd row도인FS
4th row점봉초등학교
5th row가람푸드시스템(주)
ValueCountFrequency (%)
녹원유통 9
 
6.5%
가람푸드서비스(주 8
 
5.8%
가람푸드서비스 6
 
4.3%
소나무급식센터 5
 
3.6%
주)아워홈 5
 
3.6%
도인fs 4
 
2.9%
직영 4
 
2.9%
대교 4
 
2.9%
d&amp;s 4
 
2.9%
주)드림푸드서비스 3
 
2.2%
Other values (55) 87
62.6%
2023-12-11T06:55:20.272422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
5.2%
46
 
5.1%
45
 
5.0%
( 43
 
4.7%
) 43
 
4.7%
35
 
3.9%
27
 
3.0%
26
 
2.9%
26
 
2.9%
25
 
2.8%
Other values (122) 543
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
79.2%
Open Punctuation 43
 
4.7%
Close Punctuation 43
 
4.7%
Lowercase Letter 35
 
3.9%
Uppercase Letter 32
 
3.5%
Other Punctuation 17
 
1.9%
Space Separator 15
 
1.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
6.5%
46
 
6.4%
45
 
6.3%
35
 
4.9%
27
 
3.8%
26
 
3.6%
26
 
3.6%
25
 
3.5%
22
 
3.1%
22
 
3.1%
Other values (100) 397
55.3%
Lowercase Letter
ValueCountFrequency (%)
p 10
28.6%
m 8
22.9%
a 8
22.9%
l 2
 
5.7%
u 2
 
5.7%
s 2
 
5.7%
f 1
 
2.9%
n 1
 
2.9%
b 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 13
40.6%
D 7
21.9%
F 7
21.9%
M 2
 
6.2%
K 2
 
6.2%
B 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
; 8
47.1%
& 8
47.1%
, 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
79.2%
Common 121
 
13.4%
Latin 67
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
6.5%
46
 
6.4%
45
 
6.3%
35
 
4.9%
27
 
3.8%
26
 
3.6%
26
 
3.6%
25
 
3.5%
22
 
3.1%
22
 
3.1%
Other values (100) 397
55.3%
Latin
ValueCountFrequency (%)
S 13
19.4%
p 10
14.9%
m 8
11.9%
a 8
11.9%
D 7
10.4%
F 7
10.4%
M 2
 
3.0%
l 2
 
3.0%
u 2
 
3.0%
s 2
 
3.0%
Other values (5) 6
9.0%
Common
ValueCountFrequency (%)
( 43
35.5%
) 43
35.5%
15
 
12.4%
; 8
 
6.6%
& 8
 
6.6%
- 3
 
2.5%
, 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
79.2%
ASCII 188
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
47
 
6.5%
46
 
6.4%
45
 
6.3%
35
 
4.9%
27
 
3.8%
26
 
3.6%
26
 
3.6%
25
 
3.5%
22
 
3.1%
22
 
3.1%
Other values (100) 397
55.3%
ASCII
ValueCountFrequency (%)
( 43
22.9%
) 43
22.9%
15
 
8.0%
S 13
 
6.9%
p 10
 
5.3%
m 8
 
4.3%
; 8
 
4.3%
& 8
 
4.3%
a 8
 
4.3%
D 7
 
3.7%
Other values (12) 25
13.3%

전체학생수(명)
Real number (ℝ)

MISSING 

Distinct1539
Distinct (%)15.6%
Missing125
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean650.46694
Minimum0
Maximum2247
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:20.413663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q1341.5
median649
Q3928
95-th percentile1304.3
Maximum2247
Range2247
Interquartile range (IQR)586.5

Descriptive statistics

Standard deviation391.39545
Coefficient of variation (CV)0.60171459
Kurtosis-0.52372538
Mean650.46694
Median Absolute Deviation (MAD)291
Skewness0.25500785
Sum6423361
Variance153190.4
MonotonicityNot monotonic
2023-12-11T06:55:20.534245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 29
 
0.3%
57 27
 
0.3%
50 24
 
0.2%
69 24
 
0.2%
65 24
 
0.2%
83 23
 
0.2%
663 21
 
0.2%
54 21
 
0.2%
71 21
 
0.2%
745 20
 
0.2%
Other values (1529) 9641
96.4%
(Missing) 125
 
1.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 5
0.1%
10 5
0.1%
ValueCountFrequency (%)
2247 1
< 0.1%
2220 1
< 0.1%
2193 1
< 0.1%
2178 1
< 0.1%
2165 1
< 0.1%
1904 1
< 0.1%
1884 1
< 0.1%
1874 1
< 0.1%
1861 2
< 0.1%
1842 2
< 0.1%

급식학생수(명)
Real number (ℝ)

Distinct1507
Distinct (%)15.2%
Missing57
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean634.45831
Minimum0
Maximum2705
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:20.672013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58
Q1334
median635
Q3903
95-th percentile1269.8
Maximum2705
Range2705
Interquartile range (IQR)569

Descriptive statistics

Standard deviation382.56089
Coefficient of variation (CV)0.60297246
Kurtosis-0.39562475
Mean634.45831
Median Absolute Deviation (MAD)283
Skewness0.27324775
Sum6308419
Variance146352.83
MonotonicityNot monotonic
2023-12-11T06:55:20.874237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
0.3%
80 26
 
0.3%
50 25
 
0.2%
59 23
 
0.2%
880 23
 
0.2%
51 22
 
0.2%
517 22
 
0.2%
73 22
 
0.2%
85 21
 
0.2%
61 21
 
0.2%
Other values (1497) 9711
97.1%
(Missing) 57
 
0.6%
ValueCountFrequency (%)
0 27
0.3%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 5
 
0.1%
10 5
 
0.1%
11 6
 
0.1%
12 4
 
< 0.1%
ValueCountFrequency (%)
2705 1
< 0.1%
2247 1
< 0.1%
2243 1
< 0.1%
2220 1
< 0.1%
2193 1
< 0.1%
2178 1
< 0.1%
1976 1
< 0.1%
1959 1
< 0.1%
1904 1
< 0.1%
1874 1
< 0.1%

급식비율(%)
Real number (ℝ)

ZEROS 

Distinct630
Distinct (%)6.3%
Missing33
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.900562
Minimum0
Maximum700
Zeros130
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:21.015039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile85.6
Q195.1
median99.8
Q3100
95-th percentile108.3
Maximum700
Range700
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation20.640551
Coefficient of variation (CV)0.21083179
Kurtosis152.76376
Mean97.900562
Median Absolute Deviation (MAD)1.6
Skewness6.6313664
Sum975774.9
Variance426.03233
MonotonicityNot monotonic
2023-12-11T06:55:21.133471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 3312
33.1%
99.8 136
 
1.4%
99.7 135
 
1.4%
0.0 130
 
1.3%
99.9 129
 
1.3%
99.6 83
 
0.8%
99.5 71
 
0.7%
100.1 65
 
0.7%
99.2 64
 
0.6%
98.9 62
 
0.6%
Other values (620) 5780
57.8%
ValueCountFrequency (%)
0.0 130
1.3%
27.0 1
 
< 0.1%
27.4 1
 
< 0.1%
27.9 1
 
< 0.1%
31.0 1
 
< 0.1%
32.8 1
 
< 0.1%
32.9 1
 
< 0.1%
33.7 1
 
< 0.1%
34.5 1
 
< 0.1%
36.6 1
 
< 0.1%
ValueCountFrequency (%)
700.0 1
< 0.1%
520.9 1
< 0.1%
477.8 1
< 0.1%
430.0 1
< 0.1%
409.8 1
< 0.1%
389.6 1
< 0.1%
377.2 1
< 0.1%
369.3 2
< 0.1%
367.8 2
< 0.1%
363.0 1
< 0.1%

영양교사수(명)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing47
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.93549684
Minimum0
Maximum5
Zeros972
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:21.274231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.36729613
Coefficient of variation (CV)0.39262146
Kurtosis10.288252
Mean0.93549684
Median Absolute Deviation (MAD)0
Skewness-0.10045085
Sum9311
Variance0.13490645
MonotonicityNot monotonic
2023-12-11T06:55:21.373959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 8681
86.8%
0 972
 
9.7%
2 278
 
2.8%
3 17
 
0.2%
5 3
 
< 0.1%
4 2
 
< 0.1%
(Missing) 47
 
0.5%
ValueCountFrequency (%)
0 972
 
9.7%
1 8681
86.8%
2 278
 
2.8%
3 17
 
0.2%
4 2
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
5 3
 
< 0.1%
4 2
 
< 0.1%
3 17
 
0.2%
2 278
 
2.8%
1 8681
86.8%
0 972
 
9.7%

조리사수(명)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing47
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.91057972
Minimum0
Maximum7
Zeros1069
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:21.460678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.38281198
Coefficient of variation (CV)0.42040468
Kurtosis45.978364
Mean0.91057972
Median Absolute Deviation (MAD)0
Skewness2.075205
Sum9063
Variance0.14654501
MonotonicityNot monotonic
2023-12-11T06:55:21.551917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 8780
87.8%
0 1069
 
10.7%
2 63
 
0.6%
3 25
 
0.2%
4 10
 
0.1%
7 6
 
0.1%
(Missing) 47
 
0.5%
ValueCountFrequency (%)
0 1069
 
10.7%
1 8780
87.8%
2 63
 
0.6%
3 25
 
0.2%
4 10
 
0.1%
7 6
 
0.1%
ValueCountFrequency (%)
7 6
 
0.1%
4 10
 
0.1%
3 25
 
0.2%
2 63
 
0.6%
1 8780
87.8%
0 1069
 
10.7%

조리원수(명)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.2%
Missing47
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.3318597
Minimum0
Maximum26
Zeros809
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:55:21.657843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37
95-th percentile10
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1865383
Coefficient of variation (CV)0.59764105
Kurtosis1.6468481
Mean5.3318597
Median Absolute Deviation (MAD)2
Skewness0.61637747
Sum53068
Variance10.154026
MonotonicityNot monotonic
2023-12-11T06:55:21.767338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 1277
12.8%
7 1129
11.3%
5 1116
11.2%
3 1114
11.1%
4 1064
10.6%
8 1040
10.4%
0 809
8.1%
2 778
7.8%
9 594
5.9%
1 290
 
2.9%
Other values (13) 742
7.4%
ValueCountFrequency (%)
0 809
8.1%
1 290
 
2.9%
2 778
7.8%
3 1114
11.1%
4 1064
10.6%
5 1116
11.2%
6 1277
12.8%
7 1129
11.3%
8 1040
10.4%
9 594
5.9%
ValueCountFrequency (%)
26 4
 
< 0.1%
21 8
 
0.1%
20 5
 
0.1%
19 8
 
0.1%
18 14
 
0.1%
17 21
 
0.2%
16 14
 
0.1%
15 20
 
0.2%
14 27
0.3%
13 58
0.6%

배식장소식당여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing3418
Missing (%)34.2%
Memory size97.7 KiB
True
6582 
(Missing)
3418 
ValueCountFrequency (%)
True 6582
65.8%
(Missing) 3418
34.2%
2023-12-11T06:55:21.860366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배식장소교실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing7615
Missing (%)76.1%
Memory size97.7 KiB
True
2385 
(Missing)
7615 
ValueCountFrequency (%)
True 2385
 
23.8%
(Missing) 7615
76.1%
2023-12-11T06:55:21.932747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배식장소식당_교실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing9016
Missing (%)90.2%
Memory size97.7 KiB
True
984 
(Missing)
9016 
ValueCountFrequency (%)
True 984
 
9.8%
(Missing) 9016
90.2%
2023-12-11T06:55:21.993575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유급식종류명직영급식구분명일부위탁업체명전체위탁업체명전체학생수(명)급식학생수(명)급식비율(%)영양교사수(명)조리사수(명)조리원수(명)배식장소식당여부배식장소교실여부배식장소식당_교실여부
75642018고양시경기도고양교육지원청경기도 고양시 덕양구화정중학교중학교공립N<NA>직영O<NA><NA>860860100.0117<NA>Y<NA>
137852017성남시경기도교육청경기도 성남시 분당구판교고등학교<NA>공립N<NA>직영O<NA><NA>71969596.7116Y<NA><NA>
73482019화성시경기도화성오산교육지원청경기도 화성시고정초등학교<NA>공립N<NA>직영O<NA><NA>5050100.0001Y<NA><NA>
210302016파주시경기도파주교육지원청경기도 파주시용연초등학교<NA>공립N<NA>직영O<NA><NA>5155107.8113Y<NA><NA>
206512016의정부시경기도의정부교육지원청경기도 의정부시신곡중학교<NA>공립N<NA>직영O<NA><NA>103793890.5118Y<NA><NA>
252042015용인시경기도용인교육지원청경기도 용인시 기흥구석성초등학교초등학교공립N<NA>직영O<NA><NA>12241286105.1118<NA><NA>Y
111972018이천시경기도이천교육지원청경기도 이천시율면초등학교<NA>공립N<NA>직영O<NA><NA>3737100.0112Y<NA><NA>
24222020화성시경기도화성오산교육지원청경기도 화성시화남초등학교<NA>공립N<NA>직영Y<NA><NA>374374100.0114Y<NA><NA>
225052015군포시경기도교육청경기도 군포시산본공업고등학교고등학교공립N<NA>직영O<NA><NA>89277586.9117Y<NA><NA>
118032018포천시경기도포천교육지원청경기도 포천시영평초등학교초등학교공립N<NA>직영O<NA><NA>6969100.0112Y<NA><NA>
기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유급식종류명직영급식구분명일부위탁업체명전체위탁업체명전체학생수(명)급식학생수(명)급식비율(%)영양교사수(명)조리사수(명)조리원수(명)배식장소식당여부배식장소교실여부배식장소식당_교실여부
37282019부천시경기도부천교육지원청경기도 부천시원미초등학교<NA>공립N<NA>직영O<NA><NA>674674100.0115Y<NA><NA>
22602020포천시경기도포천교육지원청경기도 포천시삼성중학교<NA>공립N<NA>직영Y<NA><NA>423481.0000Y<NA><NA>
37122019부천시경기도부천교육지원청경기도 부천시석천중학교<NA>공립N<NA>직영O<NA><NA>11321132100.0119<NA><NA>Y
197902016안양시경기도안양과천교육지원청경기도 안양시 동안구관양초등학교<NA>공립N<NA>직영O<NA><NA>85676589.4117<NA><NA>Y
44032019수원시경기도수원교육지원청경기도 수원시 팔달구연무초등학교<NA>공립N<NA>직영O<NA><NA>321321100.0113Y<NA><NA>
44922019수원시경기도수원교육지원청경기도 수원시 권선구곡정초등학교<NA>공립N<NA>직영O<NA><NA>15291529100.01110<NA><NA>Y
245142015안양시경기도안양과천교육지원청경기도 안양시 동안구안양부흥중학교<NA>공립N<NA>직영O<NA><NA>1339126094.1119<NA>Y<NA>
207252016의정부시경기도교육청경기도 의정부시경기북과학고등학교<NA>공립N<NA>직영O<NA><NA>222253114.0116Y<NA><NA>
180632016남양주시경기도교육청경기도 남양주시퇴계원고등학교<NA>공립N<NA>직영O<NA><NA>1271125598.71110Y<NA><NA>
74552018고양시경기도교육청경기도 고양시 일산서구일산동고등학교고등학교공립N<NA>직영O<NA><NA>1097107598.0119Y<NA><NA>

Duplicate rows

Most frequently occurring

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유급식종류명직영급식구분명일부위탁업체명전체위탁업체명전체학생수(명)급식학생수(명)급식비율(%)영양교사수(명)조리사수(명)조리원수(명)배식장소식당여부배식장소교실여부배식장소식당_교실여부# duplicates
02019가평군경기도가평교육지원청경기도 가평군미원초등학교위곡분교장<NA>공립N<NA>직영O<NA><NA>3232100.0000Y<NA><NA>2
12019가평군경기도가평교육지원청경기도 가평군미원초등학교장락분교장<NA>공립N<NA>직영O<NA><NA>99100.0000Y<NA><NA>2
22019가평군경기도가평교육지원청경기도 가평군연하초등학교<NA>공립N<NA>직영O<NA><NA>8686100.0000Y<NA><NA>2
32019가평군경기도가평교육지원청경기도 가평군청심국제중학교<NA>사립N<NA>직영O<NA><NA>32031999.7000Y<NA><NA>2
42019가평군경기도가평교육지원청경기도 가평군청평초등학교<NA>공립N<NA>직영O<NA><NA>405405100.0114<NA>Y<NA>2
52019고양시경기도고양교육지원청경기도 고양시 덕양구고양관산초등학교<NA>공립N<NA>직영O<NA><NA>662662100.0115<NA><NA>Y2
62019고양시경기도고양교육지원청경기도 고양시 덕양구삼송초등학교<NA>공립N<NA>직영O<NA><NA>11801180100.0118<NA><NA>Y2
72019고양시경기도고양교육지원청경기도 고양시 덕양구소만초등학교<NA>공립N<NA>직영O<NA><NA>425425100.0114<NA>Y<NA>2
82019고양시경기도고양교육지원청경기도 고양시 덕양구용두초등학교<NA>공립N<NA>직영O<NA><NA>4444100.0000Y<NA><NA>2
92019고양시경기도고양교육지원청경기도 고양시 덕양구향동숲내초등학교<NA>공립N<NA>직영O<NA><NA>5858100.0112Y<NA><NA>2