Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory800.8 KiB
Average record size in memory82.0 B

Variable types

Text4
Categorical2
Numeric2
DateTime1

Dataset

Description한국교원대학교에서 관리하는 학교-학구도 연계정보 파일입니다.
Author한국교원대학교
URLhttps://www.data.go.kr/data/15049368/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 4 (< 0.1%) duplicate rowsDuplicates
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 02:58:10.695133
Analysis finished2023-12-12 02:58:12.966049
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

Distinct6893
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:58:13.285574image/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

Unique5836 ?
Unique (%)58.4%

Sample

1st rowZ000200267
2nd rowZ000150541
3rd rowZ000103948
4th rowZ000103493
5th rowZ000106140
ValueCountFrequency (%)
z000300023 38
 
0.4%
z000300024 37
 
0.4%
z000300020 30
 
0.3%
z000300017 29
 
0.3%
z000300019 28
 
0.3%
z000300048 25
 
0.2%
z000200204 25
 
0.2%
z000300022 23
 
0.2%
z000300006 22
 
0.2%
z000200070 21
 
0.2%
Other values (6883) 9722
97.2%
2023-12-12T11:58:13.774920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48260
48.3%
1 11526
 
11.5%
Z 10000
 
10.0%
2 7114
 
7.1%
5 4834
 
4.8%
3 4457
 
4.5%
4 3515
 
3.5%
6 2789
 
2.8%
7 2654
 
2.7%
8 2503
 
2.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48260
53.6%
1 11526
 
12.8%
2 7114
 
7.9%
5 4834
 
5.4%
3 4457
 
5.0%
4 3515
 
3.9%
6 2789
 
3.1%
7 2654
 
2.9%
8 2503
 
2.8%
9 2348
 
2.6%
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 48260
53.6%
1 11526
 
12.8%
2 7114
 
7.9%
5 4834
 
5.4%
3 4457
 
5.0%
4 3515
 
3.9%
6 2789
 
3.1%
7 2654
 
2.9%
8 2503
 
2.8%
9 2348
 
2.6%
Latin
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48260
48.3%
1 11526
 
11.5%
Z 10000
 
10.0%
2 7114
 
7.1%
5 4834
 
4.8%
3 4457
 
4.5%
4 3515
 
3.5%
6 2789
 
2.8%
7 2654
 
2.7%
8 2503
 
2.5%

학교ID
Text

Distinct8440
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:58:14.046712image/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

Unique7236 ?
Unique (%)72.4%

Sample

1st rowB000009632
2nd rowB000007229
3rd rowB000005842
4th rowB000022500
5th rowB000024533
ValueCountFrequency (%)
b000003711 5
 
< 0.1%
b000010809 5
 
< 0.1%
b000010810 5
 
< 0.1%
b000011219 5
 
< 0.1%
b000011218 5
 
< 0.1%
b000004676 5
 
< 0.1%
b000003762 5
 
< 0.1%
b000010755 5
 
< 0.1%
b000007128 5
 
< 0.1%
b000006703 5
 
< 0.1%
Other values (8430) 9950
99.5%
2023-12-12T11:58:14.458290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51417
51.4%
B 10000
 
10.0%
1 5466
 
5.5%
2 5201
 
5.2%
4 4326
 
4.3%
9 4144
 
4.1%
3 4140
 
4.1%
5 3872
 
3.9%
6 3838
 
3.8%
8 3804
 
3.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51417
57.1%
1 5466
 
6.1%
2 5201
 
5.8%
4 4326
 
4.8%
9 4144
 
4.6%
3 4140
 
4.6%
5 3872
 
4.3%
6 3838
 
4.3%
8 3804
 
4.2%
7 3792
 
4.2%
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 51417
57.1%
1 5466
 
6.1%
2 5201
 
5.8%
4 4326
 
4.8%
9 4144
 
4.6%
3 4140
 
4.6%
5 3872
 
4.3%
6 3838
 
4.3%
8 3804
 
4.2%
7 3792
 
4.2%
Latin
ValueCountFrequency (%)
B 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51417
51.4%
B 10000
 
10.0%
1 5466
 
5.5%
2 5201
 
5.2%
4 4326
 
4.3%
9 4144
 
4.1%
3 4140
 
4.1%
5 3872
 
3.9%
6 3838
 
3.8%
8 3804
 
3.8%

학교명
Text

Distinct7401
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:58:14.803552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length6.4487
Min length4

Characters and Unicode

Total characters64487
Distinct characters396
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5737 ?
Unique (%)57.4%

Sample

1st row연세중학교
2nd row경산초등학교
3rd row미당초등학교
4th row충주삼원초등학교
5th row여수송현초등학교
ValueCountFrequency (%)
삼성초등학교 12
 
0.1%
금성초등학교 9
 
0.1%
오산초등학교 9
 
0.1%
영천중학교 9
 
0.1%
성산초등학교 8
 
0.1%
양산초등학교 8
 
0.1%
가평초등학교 8
 
0.1%
대성중학교 8
 
0.1%
남산초등학교 8
 
0.1%
옥천초등학교 8
 
0.1%
Other values (7391) 9914
99.1%
2023-12-12T11:58:15.283221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10306
16.0%
학 10168
15.8%
등 6926
 
10.7%
초 6166
 
9.6%
중 3331
 
5.2%
고 913
 
1.4%
서 910
 
1.4%
천 862
 
1.3%
대 854
 
1.3%
산 837
 
1.3%
Other values (386) 23214
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64486
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10306
16.0%
학 10168
15.8%
등 6926
 
10.7%
초 6166
 
9.6%
중 3331
 
5.2%
고 913
 
1.4%
서 910
 
1.4%
천 862
 
1.3%
대 854
 
1.3%
산 837
 
1.3%
Other values (385) 23213
36.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64486
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10306
16.0%
학 10168
15.8%
등 6926
 
10.7%
초 6166
 
9.6%
중 3331
 
5.2%
고 913
 
1.4%
서 910
 
1.4%
천 862
 
1.3%
대 854
 
1.3%
산 837
 
1.3%
Other values (385) 23213
36.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64486
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10306
16.0%
학 10168
15.8%
등 6926
 
10.7%
초 6166
 
9.6%
중 3331
 
5.2%
고 913
 
1.4%
서 910
 
1.4%
천 862
 
1.3%
대 854
 
1.3%
산 837
 
1.3%
Other values (385) 23213
36.0%
ASCII
ValueCountFrequency (%)
1
100.0%

학교급구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초등학교
6114 
중학교
3101 
고등학교
785 

Length

Max length4
Median length4
Mean length3.6899
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 6114
61.1%
중학교 3101
31.0%
고등학교 785
 
7.8%

Length

2023-12-12T11:58:15.435848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:58:15.548337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 6114
61.1%
중학교 3101
31.0%
고등학교 785
 
7.8%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7905427
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:58:15.675286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010000
5-th percentile7010000
Q17430000
median7530000
Q38490000
95-th percentile9010000
Maximum9300000
Range2290000
Interquartile range (IQR)1060000

Descriptive statistics

Standard deviation661710.54
Coefficient of variation (CV)0.083703327
Kurtosis-1.0460996
Mean7905427
Median Absolute Deviation (MAD)470000
Skewness0.44752593
Sum7.905427 × 1010
Variance4.3786084 × 1011
MonotonicityNot monotonic
2023-12-12T11:58:15.824461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 2245
22.4%
7010000 974
9.7%
8750000 929
9.3%
9010000 853
 
8.5%
8490000 727
 
7.3%
8320000 565
 
5.7%
8140000 539
 
5.4%
8000000 520
 
5.2%
7800000 505
 
5.1%
7150000 446
 
4.5%
Other values (7) 1697
17.0%
ValueCountFrequency (%)
7010000 974
9.7%
7150000 446
 
4.5%
7240000 325
 
3.2%
7310000 414
 
4.1%
7380000 255
 
2.5%
7430000 281
 
2.8%
7480000 172
 
1.7%
7530000 2245
22.4%
7800000 505
 
5.1%
8000000 520
 
5.2%
ValueCountFrequency (%)
9300000 88
 
0.9%
9290000 162
 
1.6%
9010000 853
 
8.5%
8750000 929
9.3%
8490000 727
 
7.3%
8320000 565
 
5.7%
8140000 539
 
5.4%
8000000 520
 
5.2%
7800000 505
 
5.1%
7530000 2245
22.4%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2245 
서울특별시교육청
974 
경상북도교육청
929 
경상남도교육청
853 
전라남도교육청
727 
Other values (12)
4272 

Length

Max length10
Median length8
Mean length7.0867
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도교육청 2245
22.4%
서울특별시교육청 974
9.7%
경상북도교육청 929
9.3%
경상남도교육청 853
 
8.5%
전라남도교육청 727
 
7.3%
전라북도교육청 565
 
5.7%
충청남도교육청 539
 
5.4%
충청북도교육청 520
 
5.2%
강원도교육청 505
 
5.1%
부산광역시교육청 446
 
4.5%
Other values (7) 1697
17.0%

Length

2023-12-12T11:58:15.962191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2245
22.4%
서울특별시교육청 974
9.7%
경상북도교육청 929
9.3%
경상남도교육청 853
 
8.5%
전라남도교육청 727
 
7.3%
전라북도교육청 565
 
5.7%
충청남도교육청 539
 
5.4%
충청북도교육청 520
 
5.2%
강원도교육청 505
 
5.1%
부산광역시교육청 446
 
4.5%
Other values (7) 1697
17.0%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7980578
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:58:16.173437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7071000
Q17441000
median7771000
Q38551000
95-th percentile9151000
Maximum9300000
Range2279000
Interquartile range (IQR)1110000

Descriptive statistics

Standard deviation670142.96
Coefficient of variation (CV)0.083971732
Kurtosis-1.0758888
Mean7980578
Median Absolute Deviation (MAD)500000
Skewness0.40123204
Sum7.980578 × 1010
Variance4.4909158 × 1011
MonotonicityNot monotonic
2023-12-12T11:58:16.372055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7679000 211
 
2.1%
9022000 204
 
2.0%
7751000 202
 
2.0%
7621000 200
 
2.0%
8011000 172
 
1.7%
7441000 154
 
1.5%
7541000 152
 
1.5%
7551000 142
 
1.4%
7401000 139
 
1.4%
7071000 133
 
1.3%
Other values (167) 8291
82.9%
ValueCountFrequency (%)
7021000 74
0.7%
7031000 99
1.0%
7041000 101
1.0%
7051000 102
1.0%
7061000 61
0.6%
7071000 133
1.3%
7081000 106
1.1%
7091000 90
0.9%
7101000 72
0.7%
7111000 69
0.7%
ValueCountFrequency (%)
9300000 88
0.9%
9299000 51
0.5%
9296000 111
1.1%
9221000 31
 
0.3%
9211000 24
 
0.2%
9201000 39
 
0.4%
9191000 21
 
0.2%
9181000 25
 
0.2%
9171000 20
 
0.2%
9161000 32
 
0.3%

교육지원청명
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:58:16.672944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.3569
Min length10

Characters and Unicode

Total characters113569
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 row경기도구리남양주교육지원청
2nd row경상북도경산교육지원청
3rd row충청남도청양교육지원청
4th row충청북도충주교육지원청
5th row전라남도여수교육지원청
ValueCountFrequency (%)
경기도화성오산교육지원청 211
 
2.1%
경상남도창원교육지원청 204
 
2.0%
경기도용인교육지원청 202
 
2.0%
경기도고양교육지원청 200
 
2.0%
충청북도청주교육지원청 172
 
1.7%
대전광역시동부교육지원청 154
 
1.5%
경기도수원교육지원청 152
 
1.5%
경기도성남교육지원청 142
 
1.4%
광주광역시서부교육지원청 139
 
1.4%
서울특별시강동송파교육지원청 133
 
1.3%
Other values (167) 8291
82.9%
2023-12-12T11:58:17.135144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 11301
 
10.0%
원 10886
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9912
 
8.7%
도 7118
 
6.3%
경 4194
 
3.7%
시 3175
 
2.8%
남 3167
 
2.8%
부 2602
 
2.3%
Other values (123) 41214
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113569
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11301
 
10.0%
원 10886
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9912
 
8.7%
도 7118
 
6.3%
경 4194
 
3.7%
시 3175
 
2.8%
남 3167
 
2.8%
부 2602
 
2.3%
Other values (123) 41214
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113569
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11301
 
10.0%
원 10886
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9912
 
8.7%
도 7118
 
6.3%
경 4194
 
3.7%
시 3175
 
2.8%
남 3167
 
2.8%
부 2602
 
2.3%
Other values (123) 41214
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113569
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 11301
 
10.0%
원 10886
 
9.6%
교 10000
 
8.8%
육 10000
 
8.8%
지 9912
 
8.7%
도 7118
 
6.3%
경 4194
 
3.7%
시 3175
 
2.8%
남 3167
 
2.8%
부 2602
 
2.3%
Other values (123) 41214
36.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-09-16 00:00:00
Maximum2019-09-16 00:00:00
2023-12-12T11:58:17.281119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:58:17.392906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:58:12.347792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:58:12.078169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:58:12.476817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:58:12.213340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:58:17.486931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급구분시도교육청코드시도교육청명교육지원청코드
학교급구분1.0000.2630.3070.255
시도교육청코드0.2631.0001.0000.985
시도교육청명0.3071.0001.0000.959
교육지원청코드0.2550.9850.9591.000
2023-12-12T11:58:17.610311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청명학교급구분
시도교육청명1.0000.173
학교급구분0.1731.000
2023-12-12T11:58:17.727139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드교육지원청코드학교급구분시도교육청명
시도교육청코드1.0000.9930.1651.000
교육지원청코드0.9931.0000.1580.815
학교급구분0.1650.1581.0000.173
시도교육청명1.0000.8150.1731.000

Missing values

2023-12-12T11:58:12.671006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:58:12.859383image/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
9200Z000200267B000009632연세중학교중학교7530000경기도교육청7652000경기도구리남양주교육지원청2019-09-16
7311Z000150541B000007229경산초등학교초등학교8750000경상북도교육청8851000경상북도경산교육지원청2019-09-16
3878Z000103948B000005842미당초등학교초등학교8140000충청남도교육청8251000충청남도청양교육지원청2019-09-16
3449Z000103493B000022500충주삼원초등학교초등학교8000000충청북도교육청8021000충청북도충주교육지원청2019-09-16
6026Z000106140B000024533여수송현초등학교초등학교8490000전라남도교육청8511000전라남도여수교육지원청2019-09-16
9704Z000200550B000009943대제중학교중학교8000000충청북도교육청8031000충청북도제천교육지원청2019-09-16
12490Z000300035B000012508신성고등학교고등학교7530000경기도교육청7569000경기도안양과천교육지원청2019-09-16
5006Z000105103B000007050안동동부초등학교초등학교8750000경상북도교육청8791000경상북도안동교육지원청2019-09-16
10196Z000200859B000010471순천향림중학교중학교8490000전라남도교육청8521000전라남도순천교육지원청2019-09-16
12227Z000300020B000012228제물포고등학교고등학교7310000인천광역시교육청7331000인천광역시북부교육지원청2019-09-16
학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자
4619Z000104698B000022850녹동초등학교시산분교장초등학교8490000전라남도교육청8591000전라남도고흥교육지원청2019-09-16
4872Z000104967B000006899송림초등학교초등학교8750000경상북도교육청8761000경상북도포항교육지원청2019-09-16
630Z000100632B000002489범일초등학교초등학교7150000부산광역시교육청7181000부산광역시남부교육지원청2019-09-16
8063Z000200033B000008367신구중학교중학교7010000서울특별시교육청7091000서울특별시강남서초교육지원청2019-09-16
6589Z000150225B000004191봉담초등학교초등학교7530000경기도교육청7679000경기도화성오산교육지원청2019-09-16
4737Z000104819B000006751오룡초등학교초등학교8490000전라남도교육청8661000전라남도무안교육지원청2019-09-16
4319Z000104395B000006301천천초등학교초등학교8320000전라북도교육청8421000전라북도장수교육지원청2019-09-16
3074Z000103095B000004945연곡초등학교초등학교7800000강원도교육청7831000강원도강릉교육지원청2019-09-16
12280Z000300022B000012276명신여자고등학교고등학교7310000인천광역시교육청7361000인천광역시서부교육지원청2019-09-16
3140Z000103162B000004991한남초등학교초등학교7800000강원도교육청7862000강원도속초양양교육지원청2019-09-16

Duplicate rows

Most frequently occurring

학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자# duplicates
0Z000105274B000007233성암초등학교초등학교8750000경상북도교육청8851000경상북도경산교육지원청2019-09-162
1Z000150758B000007233성암초등학교초등학교8750000경상북도교육청8851000경상북도경산교육지원청2019-09-162
2Z000210004B000009052대전장대중학교중학교7430000대전광역시교육청7451000대전광역시서부교육지원청2019-09-162
3Z000210004B000009053유성중학교중학교7430000대전광역시교육청7451000대전광역시서부교육지원청2019-09-162