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
Categorical3
Numeric2

Dataset

Description본 데이터는 한국교원대학교 지방교육재정연구원에서 관리하는 학교-학구도연계정보(학교ID, 학구ID, 학교명, 학교급 등) 파일입니다.
Author한국교원대학교
URLhttps://www.data.go.kr/data/15049369/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 started2023-12-12 10:01:17.642766
Analysis finished2023-12-12 10:01:19.672071
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구아이디
Text

Distinct6132
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:01:19.927415image/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

Unique4978 ?
Unique (%)49.8%

Sample

1st rowZ000151080
2nd rowZ000103130
3rd rowZ000210089
4th rowZ000102789
5th rowZ000150546
ValueCountFrequency (%)
z000300023 33
 
0.3%
z000300024 27
 
0.3%
z000151024 25
 
0.2%
z000151076 24
 
0.2%
z000151064 24
 
0.2%
z000151072 22
 
0.2%
z000151068 21
 
0.2%
z000151066 21
 
0.2%
z000300020 21
 
0.2%
z000151069 20
 
0.2%
Other values (6122) 9762
97.6%
2023-12-12T19:01:20.622240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46889
46.9%
1 12466
 
12.5%
Z 10000
 
10.0%
2 6749
 
6.7%
5 5839
 
5.8%
3 4145
 
4.1%
4 3298
 
3.3%
8 2766
 
2.8%
6 2733
 
2.7%
7 2640
 
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 46889
52.1%
1 12466
 
13.9%
2 6749
 
7.5%
5 5839
 
6.5%
3 4145
 
4.6%
4 3298
 
3.7%
8 2766
 
3.1%
6 2733
 
3.0%
7 2640
 
2.9%
9 2475
 
2.8%
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 46889
52.1%
1 12466
 
13.9%
2 6749
 
7.5%
5 5839
 
6.5%
3 4145
 
4.6%
4 3298
 
3.7%
8 2766
 
3.1%
6 2733
 
3.0%
7 2640
 
2.9%
9 2475
 
2.8%
Latin
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46889
46.9%
1 12466
 
12.5%
Z 10000
 
10.0%
2 6749
 
6.7%
5 5839
 
5.8%
3 4145
 
4.1%
4 3298
 
3.3%
8 2766
 
2.8%
6 2733
 
2.7%
7 2640
 
2.6%

학교아이디
Text

Distinct7432
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:01:20.907833image/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

Unique6057 ?
Unique (%)60.6%

Sample

1st rowB000030428
2nd rowB000004971
3rd rowB000023764
4th rowB000004368
5th rowB000007401
ValueCountFrequency (%)
b000006482 18
 
0.2%
b000006462 17
 
0.2%
b000006463 17
 
0.2%
b000006465 16
 
0.2%
b000006473 16
 
0.2%
b000006451 16
 
0.2%
b000006475 16
 
0.2%
b000006439 15
 
0.1%
b000006460 14
 
0.1%
b000006448 14
 
0.1%
Other values (7422) 9841
98.4%
2023-12-12T19:01:21.382135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51254
51.3%
B 10000
 
10.0%
1 5103
 
5.1%
2 4991
 
5.0%
6 4551
 
4.6%
4 4478
 
4.5%
9 4226
 
4.2%
7 3969
 
4.0%
5 3966
 
4.0%
3 3901
 
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 51254
56.9%
1 5103
 
5.7%
2 4991
 
5.5%
6 4551
 
5.1%
4 4478
 
5.0%
9 4226
 
4.7%
7 3969
 
4.4%
5 3966
 
4.4%
3 3901
 
4.3%
8 3561
 
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 51254
56.9%
1 5103
 
5.7%
2 4991
 
5.5%
6 4551
 
5.1%
4 4478
 
5.0%
9 4226
 
4.7%
7 3969
 
4.4%
5 3966
 
4.4%
3 3901
 
4.3%
8 3561
 
4.0%
Latin
ValueCountFrequency (%)
B 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51254
51.3%
B 10000
 
10.0%
1 5103
 
5.1%
2 4991
 
5.0%
6 4551
 
4.6%
4 4478
 
4.5%
9 4226
 
4.2%
7 3969
 
4.0%
5 3966
 
4.0%
3 3901
 
3.9%

학교명
Text

Distinct6592
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:01:21.683333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.4604
Min length5

Characters and Unicode

Total characters64604
Distinct characters398
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4909 ?
Unique (%)49.1%

Sample

1st row거문초등학교
2nd row철암초등학교
3rd row해마루중학교
4th row아미초등학교
5th row물야초등학교
ValueCountFrequency (%)
거문초등학교손죽분교장 18
 
0.2%
관기초등학교 17
 
0.2%
안일초등학교 17
 
0.2%
경호초등학교 17
 
0.2%
신풍초등학교 16
 
0.2%
봉덕초등학교 16
 
0.2%
여남초등학교 16
 
0.2%
소라초등학교신흥분교장 16
 
0.2%
소라초등학교여자분교장 16
 
0.2%
화정초등학교 15
 
0.1%
Other values (6582) 9836
98.4%
2023-12-12T19:01:22.187011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10398
16.1%
학 10156
15.7%
등 7146
 
11.1%
초 6522
 
10.1%
중 3117
 
4.8%
산 874
 
1.4%
서 810
 
1.3%
고 806
 
1.2%
대 798
 
1.2%
천 787
 
1.2%
Other values (388) 23190
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64598
> 99.9%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10398
16.1%
학 10156
15.7%
등 7146
 
11.1%
초 6522
 
10.1%
중 3117
 
4.8%
산 874
 
1.4%
서 810
 
1.3%
고 806
 
1.2%
대 798
 
1.2%
천 787
 
1.2%
Other values (386) 23184
35.9%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64598
> 99.9%
Common 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10398
16.1%
학 10156
15.7%
등 7146
 
11.1%
초 6522
 
10.1%
중 3117
 
4.8%
산 874
 
1.4%
서 810
 
1.3%
고 806
 
1.2%
대 798
 
1.2%
천 787
 
1.2%
Other values (386) 23184
35.9%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64598
> 99.9%
ASCII 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10398
16.1%
학 10156
15.7%
등 7146
 
11.1%
초 6522
 
10.1%
중 3117
 
4.8%
산 874
 
1.4%
서 810
 
1.3%
고 806
 
1.2%
대 798
 
1.2%
천 787
 
1.2%
Other values (386) 23184
35.9%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

학교급구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초등학교
6464 
중학교
2880 
고등학교
656 

Length

Max length4
Median length4
Mean length3.712
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 6464
64.6%
중학교 2880
28.8%
고등학교 656
 
6.6%

Length

2023-12-12T19:01:22.379062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:22.538692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 6464
64.6%
중학교 2880
28.8%
고등학교 656
 
6.6%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7985208
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:01:22.675004image/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 deviation651213.85
Coefficient of variation (CV)0.081552522
Kurtosis-1.2104729
Mean7985208
Median Absolute Deviation (MAD)490000
Skewness0.21437712
Sum7.985208 × 1010
Variance4.2407948 × 1011
MonotonicityNot monotonic
2023-12-12T19:01:22.832444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 2118
21.2%
8490000 1228
12.3%
8750000 1149
11.5%
9010000 818
 
8.2%
7010000 785
 
7.8%
8140000 632
 
6.3%
7800000 513
 
5.1%
8320000 495
 
5.0%
8000000 481
 
4.8%
7150000 374
 
3.7%
Other values (7) 1407
14.1%
ValueCountFrequency (%)
7010000 785
 
7.8%
7150000 374
 
3.7%
7240000 282
 
2.8%
7310000 327
 
3.3%
7380000 205
 
2.1%
7430000 226
 
2.3%
7480000 149
 
1.5%
7530000 2118
21.2%
7800000 513
 
5.1%
8000000 481
 
4.8%
ValueCountFrequency (%)
9300000 79
 
0.8%
9290000 139
 
1.4%
9010000 818
 
8.2%
8750000 1149
11.5%
8490000 1228
12.3%
8320000 495
 
5.0%
8140000 632
 
6.3%
8000000 481
 
4.8%
7800000 513
 
5.1%
7530000 2118
21.2%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2118 
전라남도교육청
1228 
경상북도교육청
1149 
경상남도교육청
818 
서울특별시교육청
785 
Other values (12)
3902 

Length

Max length10
Median length8
Mean length7.0371
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도교육청
2nd row강원도교육청
3rd row경상북도교육청
4th row경기도교육청
5th row경상북도교육청

Common Values

ValueCountFrequency (%)
경기도교육청 2118
21.2%
전라남도교육청 1228
12.3%
경상북도교육청 1149
11.5%
경상남도교육청 818
 
8.2%
서울특별시교육청 785
 
7.8%
충청남도교육청 632
 
6.3%
강원도교육청 513
 
5.1%
전라북도교육청 495
 
5.0%
충청북도교육청 481
 
4.8%
부산광역시교육청 374
 
3.7%
Other values (7) 1407
14.1%

Length

2023-12-12T19:01:22.975679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2118
21.2%
전라남도교육청 1228
12.3%
경상북도교육청 1149
11.5%
경상남도교육청 818
 
8.2%
서울특별시교육청 785
 
7.8%
충청남도교육청 632
 
6.3%
강원도교육청 513
 
5.1%
전라북도교육청 495
 
5.0%
충청북도교육청 481
 
4.8%
부산광역시교육청 374
 
3.7%
Other values (7) 1407
14.1%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8059908.1
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:01:23.144184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7091300
Q17551000
median8011000
Q38621000
95-th percentile9141000
Maximum9300000
Range2279000
Interquartile range (IQR)1070000

Descriptive statistics

Standard deviation654490.38
Coefficient of variation (CV)0.081203206
Kurtosis-1.1942599
Mean8059908.1
Median Absolute Deviation (MAD)520000
Skewness0.18568935
Sum8.0599081 × 1010
Variance4.2835766 × 1011
MonotonicityNot monotonic
2023-12-12T19:01:23.356585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8511000 448
 
4.5%
7621000 286
 
2.9%
7679000 202
 
2.0%
8771000 168
 
1.7%
8011000 168
 
1.7%
7751000 167
 
1.7%
9022000 165
 
1.7%
8222000 137
 
1.4%
8801000 136
 
1.4%
8761000 124
 
1.2%
Other values (167) 7999
80.0%
ValueCountFrequency (%)
7021000 61
0.6%
7031000 80
0.8%
7041000 76
0.8%
7051000 77
0.8%
7061000 46
0.5%
7081300 82
0.8%
7091300 85
0.9%
7121200 50
0.5%
7130000 104
1.0%
7132000 63
0.6%
ValueCountFrequency (%)
9300000 79
0.8%
9299000 46
0.5%
9296000 93
0.9%
9221000 27
 
0.3%
9211000 27
 
0.3%
9201000 36
 
0.4%
9191000 22
 
0.2%
9181000 22
 
0.2%
9171000 19
 
0.2%
9161000 35
 
0.4%

교육지원청명
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:01:23.639297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.3051
Min length10

Characters and Unicode

Total characters113051
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 row전라남도여수교육지원청
2nd row강원도태백교육지원청
3rd row경상북도구미교육지원청
4th row경기도이천교육지원청
5th row경상북도봉화교육지원청
ValueCountFrequency (%)
전라남도여수교육지원청 448
 
4.5%
경기도고양교육지원청 287
 
2.9%
경기도화성오산교육지원청 202
 
2.0%
경상북도경주교육지원청 168
 
1.7%
충청북도청주교육지원청 168
 
1.7%
경기도용인교육지원청 167
 
1.7%
경상남도창원교육지원청 165
 
1.7%
충청남도논산계룡교육지원청 137
 
1.4%
경상북도구미교육지원청 136
 
1.4%
대전광역시동부교육지원청 124
 
1.2%
Other values (167) 7998
80.0%
2023-12-12T19:01:24.111092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 11347
 
10.0%
원 10832
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9921
 
8.8%
도 7649
 
6.8%
경 4351
 
3.8%
남 3594
 
3.2%
시 2611
 
2.3%
북 2535
 
2.2%
Other values (123) 40211
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113051
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11347
 
10.0%
원 10832
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9921
 
8.8%
도 7649
 
6.8%
경 4351
 
3.8%
남 3594
 
3.2%
시 2611
 
2.3%
북 2535
 
2.2%
Other values (123) 40211
35.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113051
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11347
 
10.0%
원 10832
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9921
 
8.8%
도 7649
 
6.8%
경 4351
 
3.8%
남 3594
 
3.2%
시 2611
 
2.3%
북 2535
 
2.2%
Other values (123) 40211
35.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113051
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 11347
 
10.0%
원 10832
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9921
 
8.8%
도 7649
 
6.8%
경 4351
 
3.8%
남 3594
 
3.2%
시 2611
 
2.3%
북 2535
 
2.2%
Other values (123) 40211
35.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-09-15
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-15
2nd row2021-09-15
3rd row2021-09-15
4th row2021-09-15
5th row2021-09-15

Common Values

ValueCountFrequency (%)
2021-09-15 10000
100.0%

Length

2023-12-12T19:01:24.281585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:24.386206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-15 10000
100.0%

Interactions

2023-12-12T19:01:18.934779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:18.699488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:19.051013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:18.827248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:01:24.464212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급구분시도교육청코드시도교육청명교육지원청코드
학교급구분1.0000.2720.3230.291
시도교육청코드0.2721.0001.0000.987
시도교육청명0.3231.0001.0000.963
교육지원청코드0.2910.9870.9631.000
2023-12-12T19:01:24.574344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급구분시도교육청명
학교급구분1.0000.184
시도교육청명0.1841.000
2023-12-12T19:01:24.687295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드교육지원청코드학교급구분시도교육청명
시도교육청코드1.0000.9930.1741.000
교육지원청코드0.9931.0000.1800.833
학교급구분0.1740.1801.0000.184
시도교육청명1.0000.8330.1841.000

Missing values

2023-12-12T19:01:19.291895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:01:19.573689image/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

학구아이디학교아이디학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자
9781Z000151080B000030428거문초등학교초등학교8490000전라남도교육청8511000전라남도여수교육지원청2021-09-15
161Z000103130B000004971철암초등학교초등학교7800000강원도교육청7851000강원도태백교육지원청2021-09-15
13980Z000210089B000023764해마루중학교중학교8750000경상북도교육청8801000경상북도구미교육지원청2021-09-15
9581Z000102789B000004368아미초등학교초등학교7530000경기도교육청7741000경기도이천교육지원청2021-09-15
710Z000150546B000007401물야초등학교초등학교8750000경상북도교육청8961000경상북도봉화교육지원청2021-09-15
8328Z000102533B000024670아인초등학교초등학교7530000경기도교육청7679000경기도화성오산교육지원청2021-09-15
14701Z000300014B000012167이사벨고등학교고등학교7150000부산광역시교육청7191000부산광역시동래교육지원청2021-09-15
11387Z000200905B000010533고흥점암중앙중학교중학교8490000전라남도교육청8591000전라남도고흥교육지원청2021-09-15
5826Z000101770B000003645상촌초등학교초등학교7530000경기도교육청7541000경기도수원교육지원청2021-09-15
10662Z000200375B000009334초당중학교중학교7530000경기도교육청7751000경기도용인교육지원청2021-09-15
학구아이디학교아이디학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자
10990Z000201058B000010742한일여자중학교중학교8750000경상북도교육청8781000경상북도김천교육지원청2021-09-15
5890Z000100012B000001878서울묵동초등학교초등학교7010000서울특별시교육청7021000서울특별시동부교육지원청2021-09-15
7112Z000150447B000006102천서초등학교초등학교8320000전라북도교육청8351000전라북도익산교육지원청2021-09-15
14860Z000300003B000012024구로고등학교고등학교7010000서울특별시교육청7041000서울특별시남부교육지원청2021-09-15
13938Z000210144B000011162창녕옥야중학교중학교9010000경상남도교육청9141000경상남도창녕교육지원청2021-09-15
4233Z000150387B000005295국원초등학교초등학교8000000충청북도교육청8021000충청북도충주교육지원청2021-09-15
13486Z000200065B000008612인지중학교중학교7150000부산광역시교육청7211000부산광역시해운대교육지원청2021-09-15
14525Z000300038B000013549충현고등학교고등학교7530000경기도교육청7591000경기도광명교육지원청2021-09-15
4449Z000101791B000003701신성초등학교초등학교7530000경기도교육청7541000경기도수원교육지원청2021-09-15
10271Z000210308B000009579장성중학교중학교7530000경기도교육청7621000경기도고양교육지원청2021-09-15