Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells33518
Missing cells (%)17.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory171.0 B

Variable types

Numeric8
Categorical6
Text2
Unsupported2
Boolean1

Dataset

Description학교 현황(학급수)(초,중,고,그외)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5T37R76XYQD9FXQGD4VD23536511&infSeq=2

Alerts

제외여부 has constant value ""Constant
지역교육청명 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 지역교육청명 and 2 other fieldsHigh correlation
지역명 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
순회학급수(개) is highly overall correlated with 주야간명High correlation
설립구분명 is highly overall correlated with 주야간명High correlation
주야간명 is highly overall correlated with 기준년도 and 9 other fieldsHigh correlation
기준년도 is highly overall correlated with 주야간명High correlation
1학년학급수(개) is highly overall correlated with 2학년학급수(개) and 5 other fieldsHigh correlation
2학년학급수(개) is highly overall correlated with 1학년학급수(개) and 5 other fieldsHigh correlation
3학년학급수(개) is highly overall correlated with 1학년학급수(개) and 5 other fieldsHigh correlation
4학년학급수(개) is highly overall correlated with 1학년학급수(개) and 4 other fieldsHigh correlation
5학년학급수(개) is highly overall correlated with 1학년학급수(개) and 4 other fieldsHigh correlation
6학년학급수(개) is highly overall correlated with 1학년학급수(개) and 4 other fieldsHigh correlation
특수학급수(개) is highly overall correlated with 주야간명High correlation
설립구분명 is highly imbalanced (54.8%)Imbalance
순회학급수(개) is highly imbalanced (82.1%)Imbalance
학교급명 has 10000 (100.0%) missing valuesMissing
제외사유 has 10000 (100.0%) missing valuesMissing
4학년학급수(개) has 4506 (45.1%) missing valuesMissing
5학년학급수(개) has 4506 (45.1%) missing valuesMissing
6학년학급수(개) has 4506 (45.1%) missing valuesMissing
학교급명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제외사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
3학년학급수(개) has 115 (1.1%) zerosZeros
특수학급수(개) has 2841 (28.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:52:46.324630
Analysis finished2023-12-10 21:52:54.513980
Duration8.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.4964
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:54.553245image/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 deviation1.7182207
Coefficient of variation (CV)0.00085165984
Kurtosis-1.2598452
Mean2017.4964
Median Absolute Deviation (MAD)1
Skewness0.031429061
Sum20174964
Variance2.9522823
MonotonicityNot monotonic
2023-12-11T06:52:54.640875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 1809
18.1%
2018 1749
17.5%
2017 1695
17.0%
2016 1678
16.8%
2015 1668
16.7%
2019 1401
14.0%
ValueCountFrequency (%)
2015 1668
16.7%
2016 1678
16.8%
2017 1695
17.0%
2018 1749
17.5%
2019 1401
14.0%
2020 1809
18.1%
ValueCountFrequency (%)
2020 1809
18.1%
2019 1401
14.0%
2018 1749
17.5%
2017 1695
17.0%
2016 1678
16.8%
2015 1668
16.7%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
819 
용인시
761 
고양시
652 
성남시
 
643
화성시
 
643
Other values (26)
6482 

Length

Max length4
Median length3
Mean length3.0896
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안산시
2nd row포천시
3rd row성남시
4th row평택시
5th row남양주시

Common Values

ValueCountFrequency (%)
수원시 819
 
8.2%
용인시 761
 
7.6%
고양시 652
 
6.5%
성남시 643
 
6.4%
화성시 643
 
6.4%
부천시 515
 
5.1%
남양주시 508
 
5.1%
안산시 457
 
4.6%
평택시 428
 
4.3%
파주시 425
 
4.2%
Other values (21) 4149
41.5%

Length

2023-12-11T06:52:54.754856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 819
 
8.2%
용인시 761
 
7.6%
고양시 652
 
6.5%
성남시 643
 
6.4%
화성시 643
 
6.4%
부천시 515
 
5.1%
남양주시 508
 
5.1%
안산시 457
 
4.6%
평택시 428
 
4.3%
파주시 425
 
4.2%
Other values (21) 4149
41.5%

지역교육청명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
1729 
경기도화성오산교육지원청
689 
경기도수원교육지원청
661 
경기도용인교육지원청
643 
경기도구리남양주교육지원청
 
534
Other values (21)
5744 

Length

Max length13
Median length10
Mean length9.8809
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도안산교육지원청
2nd row경기도포천교육지원청
3rd row경기도성남교육지원청
4th row경기도평택교육지원청
5th row경기도구리남양주교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 1729
17.3%
경기도화성오산교육지원청 689
 
6.9%
경기도수원교육지원청 661
 
6.6%
경기도용인교육지원청 643
 
6.4%
경기도구리남양주교육지원청 534
 
5.3%
경기도고양교육지원청 529
 
5.3%
경기도성남교육지원청 504
 
5.0%
경기도부천교육지원청 415
 
4.2%
경기도안산교육지원청 366
 
3.7%
경기도파주교육지원청 359
 
3.6%
Other values (16) 3571
35.7%

Length

2023-12-11T06:52:54.865060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 1729
17.3%
경기도화성오산교육지원청 689
 
6.9%
경기도수원교육지원청 661
 
6.6%
경기도용인교육지원청 643
 
6.4%
경기도구리남양주교육지원청 534
 
5.3%
경기도고양교육지원청 529
 
5.3%
경기도성남교육지원청 504
 
5.0%
경기도부천교육지원청 415
 
4.2%
경기도안산교육지원청 366
 
3.7%
경기도파주교육지원청 359
 
3.6%
Other values (16) 3571
35.7%

지역명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
643
경기도 부천시
 
515
경기도 남양주시
 
508
경기도 평택시
 
428
경기도 파주시
 
425
Other values (37)
7481 

Length

Max length12
Median length7
Mean length8.5978
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 안산시 단원구
2nd row경기도 포천시
3rd row경기도 성남시 중원구
4th row경기도 평택시
5th row경기도 남양주시

Common Values

ValueCountFrequency (%)
경기도 화성시 643
 
6.4%
경기도 부천시 515
 
5.1%
경기도 남양주시 508
 
5.1%
경기도 평택시 428
 
4.3%
경기도 파주시 425
 
4.2%
경기도 성남시 분당구 355
 
3.5%
경기도 시흥시 342
 
3.4%
경기도 김포시 340
 
3.4%
경기도 의정부시 297
 
3.0%
경기도 용인시 기흥구 295
 
2.9%
Other values (32) 5852
58.5%

Length

2023-12-11T06:52:54.976472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.2%
수원시 819
 
3.5%
용인시 761
 
3.2%
고양시 652
 
2.8%
성남시 643
 
2.7%
화성시 643
 
2.7%
부천시 515
 
2.2%
남양주시 508
 
2.1%
안산시 457
 
1.9%
평택시 428
 
1.8%
Other values (39) 8252
34.9%

학교명
Text

Distinct2478
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:52:55.184036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2668
Min length5

Characters and Unicode

Total characters62668
Distinct characters342
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

Unique93 ?
Unique (%)0.9%

Sample

1st row안산호원초등학교
2nd row왕방초등학교
3rd row성남동중학교
4th row서정리초등학교
5th row송라중학교
ValueCountFrequency (%)
삼성초등학교 11
 
0.1%
오산초등학교 10
 
0.1%
초당초등학교 9
 
0.1%
원일초등학교 9
 
0.1%
탑동초등학교 8
 
0.1%
상원초등학교 7
 
0.1%
석천초등학교 7
 
0.1%
예봉중학교 6
 
0.1%
중산초등학교 6
 
0.1%
고창초등학교 6
 
0.1%
Other values (2469) 9925
99.2%
2023-12-11T06:52:55.552181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10215
16.3%
학 10134
16.2%
등 7222
 
11.5%
초 5550
 
8.9%
중 3005
 
4.8%
고 1938
 
3.1%
양 650
 
1.0%
천 597
 
1.0%
산 596
 
1.0%
원 589
 
0.9%
Other values (332) 22172
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62534
99.8%
Lowercase Letter 55
 
0.1%
Open Punctuation 28
 
< 0.1%
Close Punctuation 28
 
< 0.1%
Uppercase Letter 18
 
< 0.1%
Space Separator 4
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10215
16.3%
학 10134
16.2%
등 7222
 
11.5%
초 5550
 
8.9%
중 3005
 
4.8%
고 1938
 
3.1%
양 650
 
1.0%
천 597
 
1.0%
산 596
 
1.0%
원 589
 
0.9%
Other values (316) 22038
35.2%
Lowercase Letter
ValueCountFrequency (%)
s 16
29.1%
i 8
14.5%
n 8
14.5%
e 7
12.7%
g 4
 
7.3%
l 4
 
7.3%
h 4
 
7.3%
u 4
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
I 5
27.8%
T 5
27.8%
E 4
22.2%
B 4
22.2%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62534
99.8%
Latin 73
 
0.1%
Common 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10215
16.3%
학 10134
16.2%
등 7222
 
11.5%
초 5550
 
8.9%
중 3005
 
4.8%
고 1938
 
3.1%
양 650
 
1.0%
천 597
 
1.0%
산 596
 
1.0%
원 589
 
0.9%
Other values (316) 22038
35.2%
Latin
ValueCountFrequency (%)
s 16
21.9%
i 8
11.0%
n 8
11.0%
e 7
9.6%
I 5
 
6.8%
T 5
 
6.8%
E 4
 
5.5%
g 4
 
5.5%
l 4
 
5.5%
h 4
 
5.5%
Other values (2) 8
11.0%
Common
ValueCountFrequency (%)
( 28
45.9%
) 28
45.9%
4
 
6.6%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62534
99.8%
ASCII 134
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10215
16.3%
학 10134
16.2%
등 7222
 
11.5%
초 5550
 
8.9%
중 3005
 
4.8%
고 1938
 
3.1%
양 650
 
1.0%
천 597
 
1.0%
산 596
 
1.0%
원 589
 
0.9%
Other values (316) 22038
35.2%
ASCII
ValueCountFrequency (%)
( 28
20.9%
) 28
20.9%
s 16
11.9%
i 8
 
6.0%
n 8
 
6.0%
e 7
 
5.2%
I 5
 
3.7%
T 5
 
3.7%
4
 
3.0%
E 4
 
3.0%
Other values (6) 21
15.7%

학교급명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

설립구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
9054 
사립
946 

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 9054
90.5%
사립 946
 
9.5%

Length

2023-12-11T06:52:55.666372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:55.774471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 9054
90.5%
사립 946
 
9.5%

주야간명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6366 
주간
3634 

Length

Max length4
Median length4
Mean length3.2732
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6366
63.7%
주간 3634
36.3%

Length

2023-12-11T06:52:55.868967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:55.959682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6366
63.7%
주간 3634
36.3%

제외여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-11T06:52:56.026024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

1학년학급수(개)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4856
Minimum0
Maximum18
Zeros90
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:56.102666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.473442
Coefficient of variation (CV)0.63319272
Kurtosis-0.3480168
Mean5.4856
Median Absolute Deviation (MAD)2
Skewness0.60994336
Sum54856
Variance12.064799
MonotonicityNot monotonic
2023-12-11T06:52:56.210171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 1284
12.8%
4 1216
12.2%
3 1127
11.3%
5 1117
11.2%
6 933
9.3%
2 834
8.3%
10 684
6.8%
8 680
6.8%
7 670
6.7%
12 413
 
4.1%
Other values (9) 1042
10.4%
ValueCountFrequency (%)
0 90
 
0.9%
1 1284
12.8%
2 834
8.3%
3 1127
11.3%
4 1216
12.2%
5 1117
11.2%
6 933
9.3%
7 670
6.7%
8 680
6.8%
9 412
 
4.1%
ValueCountFrequency (%)
18 4
 
< 0.1%
17 3
 
< 0.1%
16 14
 
0.1%
15 70
 
0.7%
14 86
 
0.9%
13 124
 
1.2%
12 413
4.1%
11 239
 
2.4%
10 684
6.8%
9 412
4.1%

2학년학급수(개)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5041
Minimum0
Maximum18
Zeros83
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:56.314717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4994296
Coefficient of variation (CV)0.63578598
Kurtosis-0.27697003
Mean5.5041
Median Absolute Deviation (MAD)2
Skewness0.63412374
Sum55041
Variance12.246008
MonotonicityNot monotonic
2023-12-11T06:52:56.415904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 1305
13.1%
4 1225
12.2%
5 1124
11.2%
3 1118
11.2%
6 902
9.0%
2 810
8.1%
7 699
7.0%
8 695
7.0%
10 640
6.4%
9 424
 
4.2%
Other values (9) 1058
10.6%
ValueCountFrequency (%)
0 83
 
0.8%
1 1305
13.1%
2 810
8.1%
3 1118
11.2%
4 1225
12.2%
5 1124
11.2%
6 902
9.0%
7 699
7.0%
8 695
7.0%
9 424
 
4.2%
ValueCountFrequency (%)
18 5
 
0.1%
17 4
 
< 0.1%
16 19
 
0.2%
15 88
 
0.9%
14 88
 
0.9%
13 124
 
1.2%
12 418
4.2%
11 229
 
2.3%
10 640
6.4%
9 424
4.2%

3학년학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5315
Minimum0
Maximum22
Zeros115
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:56.523016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5678398
Coefficient of variation (CV)0.64500403
Kurtosis-0.24333451
Mean5.5315
Median Absolute Deviation (MAD)3
Skewness0.6480133
Sum55315
Variance12.729481
MonotonicityNot monotonic
2023-12-11T06:52:56.626457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 1305
13.1%
4 1220
12.2%
5 1104
11.0%
3 1090
10.9%
6 886
8.9%
2 819
8.2%
7 686
6.9%
8 684
6.8%
10 614
6.1%
9 432
 
4.3%
Other values (10) 1160
11.6%
ValueCountFrequency (%)
0 115
 
1.1%
1 1305
13.1%
2 819
8.2%
3 1090
10.9%
4 1220
12.2%
5 1104
11.0%
6 886
8.9%
7 686
6.9%
8 684
6.8%
9 432
 
4.3%
ValueCountFrequency (%)
22 1
 
< 0.1%
18 5
 
0.1%
17 3
 
< 0.1%
16 30
 
0.3%
15 105
 
1.1%
14 90
 
0.9%
13 133
 
1.3%
12 419
4.2%
11 259
2.6%
10 614
6.1%

4학년학급수(개)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)0.2%
Missing4506
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.6862031
Minimum0
Maximum12
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:56.721366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.129394
Coefficient of variation (CV)0.57766595
Kurtosis-0.33268244
Mean3.6862031
Median Absolute Deviation (MAD)2
Skewness0.48004846
Sum20252
Variance4.534319
MonotonicityNot monotonic
2023-12-11T06:52:56.822608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 1140
 
11.4%
3 934
 
9.3%
4 934
 
9.3%
5 763
 
7.6%
2 585
 
5.9%
6 515
 
5.1%
7 327
 
3.3%
8 152
 
1.5%
9 74
 
0.7%
0 38
 
0.4%
Other values (3) 32
 
0.3%
(Missing) 4506
45.1%
ValueCountFrequency (%)
0 38
 
0.4%
1 1140
11.4%
2 585
5.9%
3 934
9.3%
4 934
9.3%
5 763
7.6%
6 515
5.1%
7 327
 
3.3%
8 152
 
1.5%
9 74
 
0.7%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 6
 
0.1%
10 25
 
0.2%
9 74
 
0.7%
8 152
 
1.5%
7 327
 
3.3%
6 515
5.1%
5 763
7.6%
4 934
9.3%
3 934
9.3%

5학년학급수(개)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)0.2%
Missing4506
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.6638151
Minimum0
Maximum12
Zeros60
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:56.933066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1158882
Coefficient of variation (CV)0.57750955
Kurtosis-0.32273301
Mean3.6638151
Median Absolute Deviation (MAD)2
Skewness0.45998538
Sum20129
Variance4.4769828
MonotonicityNot monotonic
2023-12-11T06:52:57.036913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 1127
 
11.3%
4 948
 
9.5%
3 945
 
9.4%
5 753
 
7.5%
2 571
 
5.7%
6 546
 
5.5%
7 291
 
2.9%
8 162
 
1.6%
0 60
 
0.6%
9 58
 
0.6%
Other values (3) 33
 
0.3%
(Missing) 4506
45.1%
ValueCountFrequency (%)
0 60
 
0.6%
1 1127
11.3%
2 571
5.7%
3 945
9.4%
4 948
9.5%
5 753
7.5%
6 546
5.5%
7 291
 
2.9%
8 162
 
1.6%
9 58
 
0.6%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 3
 
< 0.1%
10 28
 
0.3%
9 58
 
0.6%
8 162
 
1.6%
7 291
 
2.9%
6 546
5.5%
5 753
7.5%
4 948
9.5%
3 945
9.4%

6학년학급수(개)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)0.2%
Missing4506
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.6967601
Minimum0
Maximum12
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:57.406200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1152314
Coefficient of variation (CV)0.5721852
Kurtosis-0.34574481
Mean3.6967601
Median Absolute Deviation (MAD)2
Skewness0.44534668
Sum20310
Variance4.474204
MonotonicityNot monotonic
2023-12-11T06:52:57.545173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 1154
 
11.5%
4 986
 
9.9%
3 868
 
8.7%
5 765
 
7.6%
2 573
 
5.7%
6 558
 
5.6%
7 316
 
3.2%
8 154
 
1.5%
9 56
 
0.6%
0 31
 
0.3%
Other values (3) 33
 
0.3%
(Missing) 4506
45.1%
ValueCountFrequency (%)
0 31
 
0.3%
1 1154
11.5%
2 573
5.7%
3 868
8.7%
4 986
9.9%
5 765
7.6%
6 558
5.6%
7 316
 
3.2%
8 154
 
1.5%
9 56
 
0.6%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 7
 
0.1%
10 24
 
0.2%
9 56
 
0.6%
8 154
 
1.5%
7 316
 
3.2%
6 558
5.6%
5 765
7.6%
4 986
9.9%
3 868
8.7%

특수학급수(개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9729
Minimum0
Maximum6
Zeros2841
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:52:57.647533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.78995442
Coefficient of variation (CV)0.8119585
Kurtosis0.53859134
Mean0.9729
Median Absolute Deviation (MAD)1
Skewness0.61778556
Sum9729
Variance0.62402799
MonotonicityNot monotonic
2023-12-11T06:52:57.734658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 4971
49.7%
0 2841
28.4%
2 1831
 
18.3%
3 340
 
3.4%
4 12
 
0.1%
6 3
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
0 2841
28.4%
1 4971
49.7%
2 1831
 
18.3%
3 340
 
3.4%
4 12
 
0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 2
 
< 0.1%
4 12
 
0.1%
3 340
 
3.4%
2 1831
 
18.3%
1 4971
49.7%
0 2841
28.4%

순회학급수(개)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9351 
1
 
476
2
 
139
3
 
24
4
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 9351
93.5%
1 476
 
4.8%
2 139
 
1.4%
3 24
 
0.2%
4 10
 
0.1%

Length

2023-12-11T06:52:57.836742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:57.967233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9351
93.5%
1 476
 
4.8%
2 139
 
1.4%
3 24
 
0.2%
4 10
 
0.1%

합계사항
Text

Distinct337
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:52:58.318534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.2886
Min length1

Characters and Unicode

Total characters42886
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

Unique57 ?
Unique (%)0.6%

Sample

1st row38
2nd row21
3rd row29(3)
4th row12
5th row32(5)
ValueCountFrequency (%)
7(1 417
 
4.2%
6(0 412
 
4.1%
25(1 192
 
1.9%
31(1 169
 
1.7%
19(1 143
 
1.4%
13(1 136
 
1.4%
20(1 135
 
1.4%
24(0 130
 
1.3%
21(1 128
 
1.3%
30(0 127
 
1.3%
Other values (327) 8011
80.1%
2023-12-11T06:52:58.801842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 8191
19.1%
) 8191
19.1%
1 6784
15.8%
2 5258
12.3%
3 3761
8.8%
0 3268
 
7.6%
4 1809
 
4.2%
6 1418
 
3.3%
7 1303
 
3.0%
5 1131
 
2.6%
Other values (2) 1772
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26504
61.8%
Open Punctuation 8191
 
19.1%
Close Punctuation 8191
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6784
25.6%
2 5258
19.8%
3 3761
14.2%
0 3268
12.3%
4 1809
 
6.8%
6 1418
 
5.4%
7 1303
 
4.9%
5 1131
 
4.3%
8 889
 
3.4%
9 883
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 8191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42886
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 8191
19.1%
) 8191
19.1%
1 6784
15.8%
2 5258
12.3%
3 3761
8.8%
0 3268
 
7.6%
4 1809
 
4.2%
6 1418
 
3.3%
7 1303
 
3.0%
5 1131
 
2.6%
Other values (2) 1772
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 8191
19.1%
) 8191
19.1%
1 6784
15.8%
2 5258
12.3%
3 3761
8.8%
0 3268
 
7.6%
4 1809
 
4.2%
6 1418
 
3.3%
7 1303
 
3.0%
5 1131
 
2.6%
Other values (2) 1772
 
4.1%

Interactions

2023-12-11T06:52:53.428927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.407331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.098074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.827832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.521821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.205468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.057438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.778466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.504354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.485615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.197096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.916190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.601929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.284736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.136791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.860633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.583436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.583218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.296463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.007471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.723368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.366973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.224187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.954165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.660891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.686954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.384120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.089928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.805591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.451144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.306624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.036156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.751894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.764448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.459134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.175374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.873348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.530888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.385154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.113284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.850664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.847247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.556942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.271383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.955115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.609592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.464894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.189563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.933945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.928331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.638318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.357152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.044627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.690945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.601066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.267093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:54.005473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.015585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:49.718735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:50.433991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.129270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:51.767800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:52.693232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:53.351692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:52:58.920645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명지역교육청명지역명설립구분명1학년학급수(개)2학년학급수(개)3학년학급수(개)4학년학급수(개)5학년학급수(개)6학년학급수(개)특수학급수(개)순회학급수(개)
기준년도1.0000.0000.1880.0000.0580.1470.1650.1590.0900.0760.0980.0690.036
시군명0.0001.0000.9941.0000.2200.4650.4690.4410.5010.4970.4930.2700.196
지역교육청명0.1880.9941.0000.9950.4190.5990.5990.5580.4820.4760.4760.3240.168
지역명0.0001.0000.9951.0000.3010.4880.4960.4680.5290.5290.5240.3290.228
설립구분명0.0580.2200.4190.3011.0000.2120.2180.1920.0570.0570.0510.3370.065
1학년학급수(개)0.1470.4650.5990.4880.2121.0000.9770.9350.7910.7630.7380.2530.082
2학년학급수(개)0.1650.4690.5990.4960.2180.9771.0000.9510.8270.7960.7730.2710.090
3학년학급수(개)0.1590.4410.5580.4680.1920.9350.9511.0000.8530.8210.7940.2650.133
4학년학급수(개)0.0900.5010.4820.5290.0570.7910.8270.8531.0000.9360.9210.2730.086
5학년학급수(개)0.0760.4970.4760.5290.0570.7630.7960.8210.9361.0000.9390.2730.087
6학년학급수(개)0.0980.4930.4760.5240.0510.7380.7730.7940.9210.9391.0000.2830.076
특수학급수(개)0.0690.2700.3240.3290.3370.2530.2710.2650.2730.2730.2831.0000.162
순회학급수(개)0.0360.1960.1680.2280.0650.0820.0900.1330.0860.0870.0760.1621.000
2023-12-11T06:52:59.057428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역교육청명시군명지역명순회학급수(개)설립구분명주야간명
지역교육청명1.0000.8930.8930.0810.3321.000
시군명0.8931.0000.9990.0930.1871.000
지역명0.8930.9991.0000.1070.2391.000
순회학급수(개)0.0810.0930.1071.0000.0801.000
설립구분명0.3320.1870.2390.0801.0001.000
주야간명1.0001.0001.0001.0001.0001.000
2023-12-11T06:52:59.156267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도1학년학급수(개)2학년학급수(개)3학년학급수(개)4학년학급수(개)5학년학급수(개)6학년학급수(개)특수학급수(개)시군명지역교육청명지역명설립구분명주야간명순회학급수(개)
기준년도1.000-0.034-0.051-0.0600.008-0.007-0.0080.0600.0000.0730.0000.0641.0000.015
1학년학급수(개)-0.0341.0000.9620.9390.9340.9170.8910.1680.1820.2680.1900.1651.0000.035
2학년학급수(개)-0.0510.9621.0000.9640.9490.9360.9170.1760.1850.2690.1950.1701.0000.035
3학년학급수(개)-0.0600.9390.9641.0000.9550.9450.9310.1760.1710.2430.1810.1501.0000.056
4학년학급수(개)0.0080.9340.9490.9551.0000.9530.9400.2730.2000.1970.2110.0350.0000.037
5학년학급수(개)-0.0070.9170.9360.9450.9531.0000.9520.2710.1980.1920.2100.0340.0000.037
6학년학급수(개)-0.0080.8910.9170.9310.9400.9521.0000.2810.1950.1920.2070.0360.0000.033
특수학급수(개)0.0600.1680.1760.1760.2730.2710.2811.0000.1150.1430.1300.3611.0000.104
시군명0.0000.1820.1850.1710.2000.1980.1950.1151.0000.8930.9990.1871.0000.093
지역교육청명0.0730.2680.2690.2430.1970.1920.1920.1430.8931.0000.8930.3321.0000.081
지역명0.0000.1900.1950.1810.2110.2100.2070.1300.9990.8931.0000.2391.0000.107
설립구분명0.0640.1650.1700.1500.0350.0340.0360.3610.1870.3320.2391.0001.0000.080
주야간명1.0001.0001.0001.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.000
순회학급수(개)0.0150.0350.0350.0560.0370.0370.0330.1040.0930.0810.1070.0801.0001.000

Missing values

2023-12-11T06:52:54.139230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:52:54.329931image/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.
2023-12-11T06:52:54.457073image/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

기준년도시군명지역교육청명지역명학교명학교급명설립구분명주야간명제외여부제외사유1학년학급수(개)2학년학급수(개)3학년학급수(개)4학년학급수(개)5학년학급수(개)6학년학급수(개)특수학급수(개)순회학급수(개)합계사항
12242020안산시경기도안산교육지원청경기도 안산시 단원구안산호원초등학교<NA>공립<NA>N<NA>6767561038
22012020포천시경기도포천교육지원청경기도 포천시왕방초등학교<NA>공립<NA>N<NA>3433332021
31132019성남시경기도성남교육지원청경기도 성남시 중원구성남동중학교<NA>공립주간N<NA>8810<NA><NA><NA>2129(3)
21692020평택시경기도평택교육지원청경기도 평택시서정리초등학교<NA>공립<NA>N<NA>1221222012
120042015남양주시경기도구리남양주교육지원청경기도 남양주시송라중학교<NA>공립주간N<NA>8109<NA><NA><NA>2332(5)
119212015김포시경기도김포교육지원청경기도 김포시하늘빛초등학교<NA>공립<NA>N<NA>5433331022(1)
98602016부천시경기도교육청경기도 부천시중원고등학교<NA>공립주간N<NA>141415<NA><NA><NA>2045(2)
115692015고양시경기도고양교육지원청경기도 고양시 덕양구내유초등학교<NA>공립<NA>N<NA>4454450026(0)
59552018연천군경기도연천교육지원청경기도 연천군백학중학교<NA>공립주간N<NA>111<NA><NA><NA>003(0)
85002017용인시경기도용인교육지원청경기도 용인시 기흥구관곡초등학교<NA>공립<NA>N<NA>2222221013(1)
기준년도시군명지역교육청명지역명학교명학교급명설립구분명주야간명제외여부제외사유1학년학급수(개)2학년학급수(개)3학년학급수(개)4학년학급수(개)5학년학급수(개)6학년학급수(개)특수학급수(개)순회학급수(개)합계사항
13612020안양시경기도교육청경기도 안양시 만안구안양외국어고등학교<NA>사립<NA>N<NA>101010<NA><NA><NA>0030
33072019시흥시경기도시흥교육지원청경기도 시흥시도일초등학교<NA>공립<NA>N<NA>3334332122(3)
63562018파주시경기도파주교육지원청경기도 파주시적서초등학교<NA>공립<NA>N<NA>111111006(0)
137992015화성시경기도화성오산교육지원청경기도 화성시화성장안초등학교석포분교장<NA>공립<NA>N<NA>111101106(1)
124012015수원시경기도수원교육지원청경기도 수원시 권선구서호초등학교<NA>공립<NA>N<NA>2222221013(1)
35062019안성시경기도안성교육지원청경기도 안성시양진중학교<NA>공립주간N<NA>656<NA><NA><NA>2019(2)
52942018수원시경기도수원교육지원청경기도 수원시 팔달구수원초등학교<NA>공립<NA>N<NA>2332322017(2)
9602020수원시경기도수원교육지원청경기도 수원시 팔달구연무초등학교<NA>공립<NA>N<NA>2322231015
14692020양주시경기도동두천양주교육지원청경기도 양주시주원초등학교<NA>공립<NA>N<NA>2333341019
92882016고양시경기도고양교육지원청경기도 고양시 일산동구안곡중학교<NA>공립주간N<NA>111011<NA><NA><NA>2034(2)