Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory800.8 KiB
Average record size in memory82.0 B

Variable types

Text4
Categorical2
Numeric2
DateTime1

Dataset

Description본 데이터는 지방교육재정연구원에서 관리하는 학교-학구도연계정보(학교ID, 학구ID, 학교명, 학교급 등) 파일입니다.
Author청주대학교 지방교육재정연구원
URLhttps://www.data.go.kr/data/15099521/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시도교육청코드 is highly overall correlated with 교육지원청코드 and 1 other fieldsHigh correlation
교육지원청코드 is highly overall correlated with 시도교육청코드 and 1 other fieldsHigh correlation
시도교육청명 is highly overall correlated with 시도교육청코드 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-11 23:51:55.380631
Analysis finished2023-12-11 23:51:56.534310
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

Distinct6002
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:51:56.702566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4764 ?
Unique (%)47.6%

Sample

1st rowZ000150946
2nd rowZ000210246
3rd rowZ000101162
4th rowZ000151211
5th rowZ000101207
ValueCountFrequency (%)
z000300024 30
 
0.3%
z000300019 29
 
0.3%
z000300023 28
 
0.3%
z000151066 20
 
0.2%
z000151067 19
 
0.2%
z000151068 19
 
0.2%
z000151076 19
 
0.2%
z000300037 18
 
0.2%
z000151069 18
 
0.2%
z000151070 18
 
0.2%
Other values (5992) 9782
97.8%
2023-12-12T08:51:57.009964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46271
46.3%
1 12885
 
12.9%
Z 10000
 
10.0%
2 6917
 
6.9%
5 5917
 
5.9%
3 4287
 
4.3%
4 3215
 
3.2%
6 2802
 
2.8%
8 2678
 
2.7%
7 2641
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Uppercase Letter 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46271
51.4%
1 12885
 
14.3%
2 6917
 
7.7%
5 5917
 
6.6%
3 4287
 
4.8%
4 3215
 
3.6%
6 2802
 
3.1%
8 2678
 
3.0%
7 2641
 
2.9%
9 2387
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
90.0%
Latin 10000
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46271
51.4%
1 12885
 
14.3%
2 6917
 
7.7%
5 5917
 
6.6%
3 4287
 
4.8%
4 3215
 
3.6%
6 2802
 
3.1%
8 2678
 
3.0%
7 2641
 
2.9%
9 2387
 
2.7%
Latin
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46271
46.3%
1 12885
 
12.9%
Z 10000
 
10.0%
2 6917
 
6.9%
5 5917
 
5.9%
3 4287
 
4.3%
4 3215
 
3.2%
6 2802
 
2.8%
8 2678
 
2.7%
7 2641
 
2.6%

학교ID
Text

Distinct7265
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:51:57.197831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5733 ?
Unique (%)57.3%

Sample

1st rowB000006538
2nd rowB000010962
3rd rowB000003038
4th rowB000007848
5th rowB000003092
ValueCountFrequency (%)
b000006473 18
 
0.2%
b000006475 16
 
0.2%
b000006448 16
 
0.2%
b000006476 15
 
0.1%
b000006989 15
 
0.1%
b000006472 15
 
0.1%
b000006452 15
 
0.1%
b000006445 15
 
0.1%
b000006987 14
 
0.1%
b000006460 14
 
0.1%
Other values (7255) 9847
98.5%
2023-12-12T08:51:57.492221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51331
51.3%
B 10000
 
10.0%
1 5074
 
5.1%
2 4887
 
4.9%
4 4427
 
4.4%
6 4362
 
4.4%
9 4351
 
4.4%
7 4047
 
4.0%
5 4045
 
4.0%
3 3895
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Uppercase Letter 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51331
57.0%
1 5074
 
5.6%
2 4887
 
5.4%
4 4427
 
4.9%
6 4362
 
4.8%
9 4351
 
4.8%
7 4047
 
4.5%
5 4045
 
4.5%
3 3895
 
4.3%
8 3581
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90000
90.0%
Latin 10000
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51331
57.0%
1 5074
 
5.6%
2 4887
 
5.4%
4 4427
 
4.9%
6 4362
 
4.8%
9 4351
 
4.8%
7 4047
 
4.5%
5 4045
 
4.5%
3 3895
 
4.3%
8 3581
 
4.0%
Latin
ValueCountFrequency (%)
B 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51331
51.3%
B 10000
 
10.0%
1 5074
 
5.1%
2 4887
 
4.9%
4 4427
 
4.4%
6 4362
 
4.4%
9 4351
 
4.4%
7 4047
 
4.0%
5 4045
 
4.0%
3 3895
 
3.9%

학교명
Text

Distinct6483
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:51:57.730525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.4429
Min length5

Characters and Unicode

Total characters64429
Distinct characters395
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4723 ?
Unique (%)47.2%

Sample

1st row다도초등학교
2nd row후포중학교
3rd row인천십정초등학교
4th row소토초등학교
5th row인천송천초등학교
ValueCountFrequency (%)
옥산초등학교 19
 
0.2%
화양초등학교 18
 
0.2%
소라초등학교신흥분교장(휴교 18
 
0.2%
봉덕초등학교 18
 
0.2%
소라초등학교여자분교장(휴교 16
 
0.2%
석계초등학교 15
 
0.1%
상암초등학교묘도분교장 15
 
0.1%
돌산초등학교월호분교장 15
 
0.1%
소라초등학교 15
 
0.1%
백초초등학교 15
 
0.1%
Other values (6473) 9836
98.4%
2023-12-12T08:51:58.284674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10390
16.1%
학 10153
15.8%
등 7052
 
10.9%
초 6451
 
10.0%
중 3196
 
5.0%
산 910
 
1.4%
대 843
 
1.3%
서 798
 
1.2%
고 785
 
1.2%
천 780
 
1.2%
Other values (385) 23071
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64352
99.9%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10390
16.1%
학 10153
15.8%
등 7052
 
11.0%
초 6451
 
10.0%
중 3196
 
5.0%
산 910
 
1.4%
대 843
 
1.3%
서 798
 
1.2%
고 785
 
1.2%
천 780
 
1.2%
Other values (382) 22994
35.7%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64352
99.9%
Common 77
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10390
16.1%
학 10153
15.8%
등 7052
 
11.0%
초 6451
 
10.0%
중 3196
 
5.0%
산 910
 
1.4%
대 843
 
1.3%
서 798
 
1.2%
고 785
 
1.2%
천 780
 
1.2%
Other values (382) 22994
35.7%
Common
ValueCountFrequency (%)
( 38
49.4%
) 38
49.4%
· 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64352
99.9%
ASCII 76
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10390
16.1%
학 10153
15.8%
등 7052
 
11.0%
초 6451
 
10.0%
중 3196
 
5.0%
산 910
 
1.4%
대 843
 
1.3%
서 798
 
1.2%
고 785
 
1.2%
천 780
 
1.2%
Other values (382) 22994
35.7%
ASCII
ValueCountFrequency (%)
( 38
50.0%
) 38
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

학교급구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초등학교
6392 
중학교
2974 
고등학교
 
634

Length

Max length4
Median length4
Mean length3.7026
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초등학교
2nd row중학교
3rd row초등학교
4th row초등학교
5th row초등학교

Common Values

ValueCountFrequency (%)
초등학교 6392
63.9%
중학교 2974
29.7%
고등학교 634
 
6.3%

Length

2023-12-12T08:51:58.411992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:51:58.510423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 6392
63.9%
중학교 2974
29.7%
고등학교 634
 
6.3%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7990333.1
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:51:58.612115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010000
5-th percentile7010000
Q17530000
median8000000
Q38490000
95-th percentile9010000
Maximum9300000
Range2290000
Interquartile range (IQR)960000

Descriptive statistics

Standard deviation658706.86
Coefficient of variation (CV)0.082437973
Kurtosis-1.2203077
Mean7990333.1
Median Absolute Deviation (MAD)490000
Skewness0.22566739
Sum7.9903331 × 1010
Variance4.3389473 × 1011
MonotonicityNot monotonic
2023-12-12T08:51:58.736094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 2101
21.0%
8750000 1144
11.4%
8490000 1109
11.1%
9010000 915
9.2%
7010000 794
 
7.9%
8140000 650
 
6.5%
8000000 496
 
5.0%
7801000 491
 
4.9%
8320000 481
 
4.8%
7150000 352
 
3.5%
Other values (7) 1467
14.7%
ValueCountFrequency (%)
7010000 794
 
7.9%
7150000 352
 
3.5%
7240000 290
 
2.9%
7310000 322
 
3.2%
7380000 198
 
2.0%
7430000 282
 
2.8%
7480000 141
 
1.4%
7530000 2101
21.0%
7801000 491
 
4.9%
8000000 496
 
5.0%
ValueCountFrequency (%)
9300000 83
 
0.8%
9290000 151
 
1.5%
9010000 915
9.2%
8750000 1144
11.4%
8490000 1109
11.1%
8320000 481
 
4.8%
8140000 650
 
6.5%
8000000 496
 
5.0%
7801000 491
 
4.9%
7530000 2101
21.0%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2101 
경상북도교육청
1144 
전라남도교육청
1109 
경상남도교육청
915 
서울특별시교육청
794 
Other values (12)
3937 

Length

Max length10
Median length8
Mean length7.2453
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도교육청
2nd row경상북도교육청
3rd row인천광역시교육청
4th row경상남도교육청
5th row인천광역시교육청

Common Values

ValueCountFrequency (%)
경기도교육청 2101
21.0%
경상북도교육청 1144
11.4%
전라남도교육청 1109
11.1%
경상남도교육청 915
9.2%
서울특별시교육청 794
 
7.9%
충청남도교육청 650
 
6.5%
충청북도교육청 496
 
5.0%
강원특별자치도교육청 491
 
4.9%
전라북도교육청 481
 
4.8%
부산광역시교육청 352
 
3.5%
Other values (7) 1467
14.7%

Length

2023-12-12T08:51:58.880231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2101
21.0%
경상북도교육청 1144
11.4%
전라남도교육청 1109
11.1%
경상남도교육청 915
9.2%
서울특별시교육청 794
 
7.9%
충청남도교육청 650
 
6.5%
충청북도교육청 496
 
5.0%
강원특별자치도교육청 491
 
4.9%
전라북도교육청 481
 
4.8%
부산광역시교육청 352
 
3.5%
Other values (7) 1467
14.7%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8067178.5
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:51:59.021115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7091300
Q17551000
median8011000
Q38651000
95-th percentile9151000
Maximum9300000
Range2279000
Interquartile range (IQR)1100000

Descriptive statistics

Standard deviation663410.09
Coefficient of variation (CV)0.082235702
Kurtosis-1.2073438
Mean8067178.5
Median Absolute Deviation (MAD)540000
Skewness0.19669995
Sum8.0671785 × 1010
Variance4.4011295 × 1011
MonotonicityNot monotonic
2023-12-12T08:51:59.141216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8511000 387
 
3.9%
7621000 255
 
2.5%
7679000 190
 
1.9%
7751000 185
 
1.8%
8771000 184
 
1.8%
9022000 167
 
1.7%
7441000 161
 
1.6%
8011000 160
 
1.6%
7541000 124
 
1.2%
7451000 121
 
1.2%
Other values (167) 8066
80.7%
ValueCountFrequency (%)
7021000 60
0.6%
7031000 78
0.8%
7041000 79
0.8%
7051000 89
0.9%
7061000 44
0.4%
7081300 81
0.8%
7091300 79
0.8%
7121200 51
0.5%
7130000 104
1.0%
7132000 61
0.6%
ValueCountFrequency (%)
9300000 83
0.8%
9299000 50
0.5%
9296000 101
1.0%
9221000 38
 
0.4%
9211000 48
0.5%
9201000 29
 
0.3%
9191000 24
 
0.2%
9181000 21
 
0.2%
9171000 19
 
0.2%
9161000 34
 
0.3%

교육지원청명
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:51:59.362864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.5012
Min length10

Characters and Unicode

Total characters115012
Distinct characters133
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도나주교육지원청
2nd row경상북도울진교육지원청
3rd row인천광역시북부교육지원청
4th row경상남도양산교육지원청
5th row인천광역시동부교육지원청
ValueCountFrequency (%)
전라남도여수교육지원청 387
 
3.9%
경기도고양교육지원청 255
 
2.5%
경기도화성오산교육지원청 190
 
1.9%
경상북도경주교육지원청 184
 
1.8%
경기도용인교육지원청 183
 
1.8%
경상남도창원교육지원청 167
 
1.7%
대전광역시동부교육지원청 161
 
1.6%
충청북도청주교육지원청 160
 
1.6%
경기도수원교육지원청 124
 
1.2%
대전광역시서부교육지원청 121
 
1.2%
Other values (167) 8068
80.7%
2023-12-12T08:51:59.693037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 11361
 
9.9%
원 10805
 
9.4%
교 10000
 
8.7%
육 10000
 
8.7%
지 9917
 
8.6%
도 7599
 
6.6%
경 4448
 
3.9%
남 3577
 
3.1%
시 2658
 
2.3%
북 2517
 
2.2%
Other values (123) 42130
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115012
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11361
 
9.9%
원 10805
 
9.4%
교 10000
 
8.7%
육 10000
 
8.7%
지 9917
 
8.6%
도 7599
 
6.6%
경 4448
 
3.9%
남 3577
 
3.1%
시 2658
 
2.3%
북 2517
 
2.2%
Other values (123) 42130
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115012
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11361
 
9.9%
원 10805
 
9.4%
교 10000
 
8.7%
육 10000
 
8.7%
지 9917
 
8.6%
도 7599
 
6.6%
경 4448
 
3.9%
남 3577
 
3.1%
시 2658
 
2.3%
북 2517
 
2.2%
Other values (123) 42130
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115012
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 11361
 
9.9%
원 10805
 
9.4%
교 10000
 
8.7%
육 10000
 
8.7%
지 9917
 
8.6%
도 7599
 
6.6%
경 4448
 
3.9%
남 3577
 
3.1%
시 2658
 
2.3%
북 2517
 
2.2%
Other values (123) 42130
36.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-09-22 00:00:00
Maximum2023-09-22 00:00:00
2023-12-12T08:51:59.804790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:59.941053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:51:56.198720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:56.038307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:56.268181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:56.108213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:52:00.034138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급구분시도교육청코드시도교육청명교육지원청코드
학교급구분1.0000.2630.3320.291
시도교육청코드0.2631.0001.0000.986
시도교육청명0.3321.0001.0000.963
교육지원청코드0.2910.9860.9631.000
2023-12-12T08:52:00.123934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청명학교급구분
시도교육청명1.0000.189
학교급구분0.1891.000
2023-12-12T08:52:00.193543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드교육지원청코드학교급구분시도교육청명
시도교육청코드1.0000.9900.1711.000
교육지원청코드0.9901.0000.1810.831
학교급구분0.1710.1811.0000.189
시도교육청명1.0000.8310.1891.000

Missing values

2023-12-12T08:51:56.375148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:51:56.482347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자
1857Z000150946B000006538다도초등학교초등학교8490000전라남도교육청8531000전라남도나주교육지원청2023-09-22
10888Z000210246B000010962후포중학교중학교8750000경상북도교육청8971000경상북도울진교육지원청2023-09-22
4545Z000101162B000003038인천십정초등학교초등학교7310000인천광역시교육청7331000인천광역시북부교육지원청2023-09-22
9345Z000151211B000007848소토초등학교초등학교9010000경상남도교육청9151000경상남도양산교육지원청2023-09-22
1987Z000101207B000003092인천송천초등학교초등학교7310000인천광역시교육청7341000인천광역시동부교육지원청2023-09-22
1383Z000100208B000002031서울자운초등학교초등학교7010000서울특별시교육청7051000서울특별시북부교육지원청2023-09-22
9035Z000105893B000007887쌍계초등학교초등학교9010000경상남도교육청9181000경상남도하동교육지원청2023-09-22
8822Z000151043B000006382목포중앙초등학교초등학교8490000전라남도교육청8501000전라남도목포교육지원청2023-09-22
8447Z000104711B000006622풍남초등학교초등학교8490000전라남도교육청8591000전라남도고흥교육지원청2023-09-22
2710Z000150876B000007164화산초등학교초등학교8750000경상북도교육청8821000경상북도영천교육지원청2023-09-22
학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자
9133Z000103689B000005527천안신부초등학교초등학교8140000충청남도교육청8151000충청남도천안교육지원청2023-09-22
9078Z000151295B000007230옥곡초등학교초등학교8750000경상북도교육청8851000경상북도경산교육지원청2023-09-22
15082Z000210186B000011038진주중앙중학교중학교9010000경상남도교육청9051000경상남도진주교육지원청2023-09-22
15479Z000300022B000012288백석고등학교고등학교7310000인천광역시교육청7361000인천광역시서부교육지원청2023-09-22
8336Z000150550B000007451가고파초등학교초등학교9010000경상남도교육청9022000경상남도창원교육지원청2023-09-22
14299Z000200050B000008516초읍중학교중학교7150000부산광역시교육청7181000부산광역시남부교육지원청2023-09-22
10014Z000102115B000004743회정초등학교초등학교7530000경기도교육청7602000경기도동두천양주교육지원청2023-09-22
13259Z000210088B000010774구미여자중학교중학교8750000경상북도교육청8801000경상북도구미교육지원청2023-09-22
7492Z000150739B000003914상록초등학교초등학교7530000경기도교육청7611000경기도안산교육지원청2023-09-22
13024Z000200833B000010412상서중학교중학교8320000전라북도교육청8461000전라북도부안교육지원청2023-09-22