Overview

Dataset statistics

Number of variables13
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory108.7 B

Variable types

Text3
Categorical4
Numeric3
DateTime3

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author청주대학교 지방교육재정연구원
URLhttps://www.data.go.kr/data/15021156/standard.do

Alerts

교육행정구역분류 has constant value ""Constant
생성일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 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
공간객체ID is highly overall correlated with 시도교육청명High correlation
시도교육청명 is highly overall correlated with 시도교육청코드 and 2 other fieldsHigh correlation
교육행정구역ID has unique valuesUnique
교육지원청코드 has unique valuesUnique
공간객체ID has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:21:39.328531
Analysis finished2024-04-06 08:21:42.735765
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육행정구역ID
Text

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-06T17:21:43.167067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1770
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

Unique177 ?
Unique (%)100.0%

Sample

1st rowS000000055
2nd rowS000000060
3rd rowS000000062
4th rowS000000057
5th rowS000000052
ValueCountFrequency (%)
s000000055 1
 
0.6%
s000000043 1
 
0.6%
s000000084 1
 
0.6%
s000000070 1
 
0.6%
s000000072 1
 
0.6%
s000000073 1
 
0.6%
s000000074 1
 
0.6%
s000000075 1
 
0.6%
s000000076 1
 
0.6%
s000000077 1
 
0.6%
Other values (167) 167
94.4%
2024-04-06T17:21:43.971291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1184
66.9%
S 177
 
10.0%
1 125
 
7.1%
4 38
 
2.1%
6 37
 
2.1%
2 37
 
2.1%
7 37
 
2.1%
5 36
 
2.0%
8 36
 
2.0%
3 33
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1593
90.0%
Uppercase Letter 177
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1184
74.3%
1 125
 
7.8%
4 38
 
2.4%
6 37
 
2.3%
2 37
 
2.3%
7 37
 
2.3%
5 36
 
2.3%
8 36
 
2.3%
3 33
 
2.1%
9 30
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1593
90.0%
Latin 177
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1184
74.3%
1 125
 
7.8%
4 38
 
2.4%
6 37
 
2.3%
2 37
 
2.3%
7 37
 
2.3%
5 36
 
2.3%
8 36
 
2.3%
3 33
 
2.1%
9 30
 
1.9%
Latin
ValueCountFrequency (%)
S 177
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1184
66.9%
S 177
 
10.0%
1 125
 
7.1%
4 38
 
2.1%
6 37
 
2.1%
2 37
 
2.1%
7 37
 
2.1%
5 36
 
2.0%
8 36
 
2.0%
3 33
 
1.9%

교육행정구역명
Text

Distinct162
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-06T17:21:44.836146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.1977401
Min length2

Characters and Unicode

Total characters389
Distinct characters123
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

Unique157 ?
Unique (%)88.7%

Sample

1st row광주하남
2nd row이천
3rd row안성
4th row포천
5th row여주
ValueCountFrequency (%)
서부 6
 
3.4%
동부 5
 
2.8%
남부 4
 
2.3%
북부 3
 
1.7%
고성 2
 
1.1%
횡성 1
 
0.6%
영월 1
 
0.6%
평창 1
 
0.6%
강릉 1
 
0.6%
동해 1
 
0.6%
Other values (152) 152
85.9%
2024-04-06T17:21:45.827964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 23
 
5.9%
천 21
 
5.4%
주 19
 
4.9%
양 17
 
4.4%
성 16
 
4.1%
동 14
 
3.6%
산 13
 
3.3%
남 12
 
3.1%
서 11
 
2.8%
안 11
 
2.8%
Other values (113) 232
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 23
 
5.9%
천 21
 
5.4%
주 19
 
4.9%
양 17
 
4.4%
성 16
 
4.1%
동 14
 
3.6%
산 13
 
3.3%
남 12
 
3.1%
서 11
 
2.8%
안 11
 
2.8%
Other values (113) 232
59.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 23
 
5.9%
천 21
 
5.4%
주 19
 
4.9%
양 17
 
4.4%
성 16
 
4.1%
동 14
 
3.6%
산 13
 
3.3%
남 12
 
3.1%
서 11
 
2.8%
안 11
 
2.8%
Other values (113) 232
59.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 23
 
5.9%
천 21
 
5.4%
주 19
 
4.9%
양 17
 
4.4%
성 16
 
4.1%
동 14
 
3.6%
산 13
 
3.3%
남 12
 
3.1%
서 11
 
2.8%
안 11
 
2.8%
Other values (113) 232
59.6%

교육행정구역분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
177 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 177
100.0%

Length

2024-04-06T17:21:46.092748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:21:46.330179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 177
100.0%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8083904
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-06T17:21:46.520374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7010000
5-th percentile7010000
Q17530000
median8140000
Q38490000
95-th percentile9010000
Maximum9300000
Range2290000
Interquartile range (IQR)960000

Descriptive statistics

Standard deviation627609.7
Coefficient of variation (CV)0.077636957
Kurtosis-1.1200803
Mean8083904
Median Absolute Deviation (MAD)610000
Skewness-0.036889394
Sum1.430851 × 109
Variance3.9389394 × 1011
MonotonicityNot monotonic
2024-04-06T17:21:46.755072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 25
14.1%
8750000 22
12.4%
8490000 22
12.4%
9010000 18
10.2%
7801000 17
9.6%
8321000 14
7.9%
8140000 14
7.9%
7010000 11
6.2%
8000000 10
 
5.6%
7240000 5
 
2.8%
Other values (7) 19
10.7%
ValueCountFrequency (%)
7010000 11
6.2%
7150000 5
 
2.8%
7240000 5
 
2.8%
7310000 5
 
2.8%
7380000 2
 
1.1%
7430000 2
 
1.1%
7480000 2
 
1.1%
7530000 25
14.1%
7801000 17
9.6%
8000000 10
 
5.6%
ValueCountFrequency (%)
9300000 1
 
0.6%
9290000 2
 
1.1%
9010000 18
10.2%
8750000 22
12.4%
8490000 22
12.4%
8321000 14
7.9%
8140000 14
7.9%
8000000 10
 
5.6%
7801000 17
9.6%
7530000 25
14.1%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기도교육청
25 
전라남도교육청
22 
경상북도교육청
22 
경상남도교육청
18 
강원특별자치도교육청
17 
Other values (12)
73 

Length

Max length10
Median length8
Mean length7.6158192
Min length6

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
경기도교육청 25
14.1%
전라남도교육청 22
12.4%
경상북도교육청 22
12.4%
경상남도교육청 18
10.2%
강원특별자치도교육청 17
9.6%
전북특별자치도교육청 14
7.9%
충청남도교육청 14
7.9%
서울특별시교육청 11
6.2%
충청북도교육청 10
 
5.6%
인천광역시교육청 5
 
2.8%
Other values (7) 19
10.7%

Length

2024-04-06T17:21:47.015972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 25
14.1%
전라남도교육청 22
12.4%
경상북도교육청 22
12.4%
경상남도교육청 18
10.2%
강원특별자치도교육청 17
9.6%
전북특별자치도교육청 14
7.9%
충청남도교육청 14
7.9%
서울특별시교육청 11
6.2%
충청북도교육청 10
 
5.6%
인천광역시교육청 5
 
2.8%
Other values (7) 19
10.7%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8187224.9
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-06T17:21:47.416820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7131600
Q17679000
median8201000
Q38721000
95-th percentile9163000
Maximum9300000
Range2279000
Interquartile range (IQR)1042000

Descriptive statistics

Standard deviation643948.2
Coefficient of variation (CV)0.078652805
Kurtosis-1.116558
Mean8187224.9
Median Absolute Deviation (MAD)522000
Skewness-0.081017879
Sum1.4491388 × 109
Variance4.1466929 × 1011
MonotonicityNot monotonic
2024-04-06T17:21:47.779773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7692000 1
 
0.6%
7091300 1
 
0.6%
7852000 1
 
0.6%
7872000 1
 
0.6%
7882000 1
 
0.6%
7892000 1
 
0.6%
7902000 1
 
0.6%
7912000 1
 
0.6%
7922000 1
 
0.6%
7942000 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
7021000 1
0.6%
7031000 1
0.6%
7041000 1
0.6%
7051000 1
0.6%
7061000 1
0.6%
7081300 1
0.6%
7091300 1
0.6%
7121200 1
0.6%
7130000 1
0.6%
7132000 1
0.6%
ValueCountFrequency (%)
9300000 1
0.6%
9299000 1
0.6%
9296000 1
0.6%
9221000 1
0.6%
9211000 1
0.6%
9201000 1
0.6%
9191000 1
0.6%
9181000 1
0.6%
9171000 1
0.6%
9161000 1
0.6%

교육지원청명
Text

Distinct162
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-06T17:21:48.265448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.2259887
Min length7

Characters and Unicode

Total characters1279
Distinct characters130
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

Unique157 ?
Unique (%)88.7%

Sample

1st row광주하남교육지원청
2nd row이천교육지원청
3rd row안성교육지원청
4th row포천교육지원청
5th row여주교육지원청
ValueCountFrequency (%)
서부교육지원청 6
 
3.4%
동부교육지원청 5
 
2.8%
남부교육지원청 4
 
2.3%
북부교육지원청 3
 
1.7%
고성교육지원청 2
 
1.1%
횡성교육지원청 1
 
0.6%
영월교육지원청 1
 
0.6%
평창교육지원청 1
 
0.6%
강릉교육지원청 1
 
0.6%
동해교육지원청 1
 
0.6%
Other values (152) 152
85.9%
2024-04-06T17:21:49.136271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 182
14.2%
원 181
14.2%
교 177
13.8%
육 177
13.8%
지 176
13.8%
부 23
 
1.8%
천 21
 
1.6%
주 19
 
1.5%
양 17
 
1.3%
성 16
 
1.3%
Other values (120) 290
22.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 182
14.2%
원 181
14.2%
교 177
13.8%
육 177
13.8%
지 176
13.8%
부 23
 
1.8%
천 21
 
1.6%
주 19
 
1.5%
양 17
 
1.3%
성 16
 
1.3%
Other values (120) 290
22.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 182
14.2%
원 181
14.2%
교 177
13.8%
육 177
13.8%
지 176
13.8%
부 23
 
1.8%
천 21
 
1.6%
주 19
 
1.5%
양 17
 
1.3%
성 16
 
1.3%
Other values (120) 290
22.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 182
14.2%
원 181
14.2%
교 177
13.8%
육 177
13.8%
지 176
13.8%
부 23
 
1.8%
천 21
 
1.6%
주 19
 
1.5%
양 17
 
1.3%
성 16
 
1.3%
Other values (120) 290
22.7%

생성일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2013-04-30 00:00:00
Maximum2013-04-30 00:00:00
2024-04-06T17:21:49.402385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:50.130601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

변경일자
Date

Distinct13
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2013-04-30 00:00:00
Maximum2024-02-23 00:00:00
2024-04-06T17:21:50.347529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:50.608333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

공간객체ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-06T17:21:50.858102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityNot monotonic
2024-04-06T17:21:51.163879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82 1
 
0.6%
128 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2024-03-22 00:00:00
Maximum2024-03-22 00:00:00
2024-04-06T17:21:51.398239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:51.590364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
C738100
177 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC738100
2nd rowC738100
3rd rowC738100
4th rowC738100
5th rowC738100

Common Values

ValueCountFrequency (%)
C738100 177
100.0%

Length

2024-04-06T17:21:51.901637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:21:52.127778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c738100 177
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
청주대학교 지방교육재정연구원
177 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청주대학교 지방교육재정연구원
2nd row청주대학교 지방교육재정연구원
3rd row청주대학교 지방교육재정연구원
4th row청주대학교 지방교육재정연구원
5th row청주대학교 지방교육재정연구원

Common Values

ValueCountFrequency (%)
청주대학교 지방교육재정연구원 177
100.0%

Length

2024-04-06T17:21:52.319445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:21:52.509979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청주대학교 177
50.0%
지방교육재정연구원 177
50.0%

Interactions

2024-04-06T17:21:41.309470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:40.127187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:40.736560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:41.655590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:40.305739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:40.956434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:41.853995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:40.498922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:41.116532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:21:52.630794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드시도교육청명교육지원청코드변경일자공간객체ID
시도교육청코드1.0001.0000.9820.7870.911
시도교육청명1.0001.0000.9550.8350.854
교육지원청코드0.9820.9551.0000.6890.879
변경일자0.7870.8350.6891.0000.741
공간객체ID0.9110.8540.8790.7411.000
2024-04-06T17:21:52.837900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드교육지원청코드공간객체ID시도교육청명
시도교육청코드1.0000.978-0.4560.979
교육지원청코드0.9781.000-0.4830.786
공간객체ID-0.456-0.4831.0000.542
시도교육청명0.9790.7860.5421.000

Missing values

2024-04-06T17:21:42.141953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:21:42.590671image/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

교육행정구역ID교육행정구역명교육행정구역분류시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
0S000000055광주하남17530000경기도교육청7692000광주하남교육지원청2013-04-302018-09-06822024-03-22C738100청주대학교 지방교육재정연구원
1S000000060이천17530000경기도교육청7741000이천교육지원청2013-04-302013-04-30832024-03-22C738100청주대학교 지방교육재정연구원
2S000000062안성17530000경기도교육청7761000안성교육지원청2013-04-302013-04-30842024-03-22C738100청주대학교 지방교육재정연구원
3S000000057포천17530000경기도교육청7711000포천교육지원청2013-04-302013-04-30852024-03-22C738100청주대학교 지방교육재정연구원
4S000000052여주17530000경기도교육청7661000여주교육지원청2013-04-302013-04-30862024-03-22C738100청주대학교 지방교육재정연구원
5S000000058가평17530000경기도교육청7721000가평교육지원청2013-04-302013-04-30872024-03-22C738100청주대학교 지방교육재정연구원
6S000000059양평17530000경기도교육청7731000양평교육지원청2013-04-302013-04-30882024-03-22C738100청주대학교 지방교육재정연구원
7S000000149포항18750000경상북도교육청8761000포항교육지원청2013-04-302023-08-25892024-03-22C738100청주대학교 지방교육재정연구원
8S000000018해운대17150000부산광역시교육청7211000해운대교육지원청2013-04-302023-08-25902024-03-22C738100청주대학교 지방교육재정연구원
9S000000015남부17150000부산광역시교육청7181000남부교육지원청2013-04-302023-08-25912024-03-22C738100청주대학교 지방교육재정연구원
교육행정구역ID교육행정구역명교육행정구역분류시도교육청코드시도교육청명교육지원청코드교육지원청명생성일자변경일자공간객체ID데이터기준일자제공기관코드제공기관명
167S000000094단양18000000충청북도교육청8111000단양교육지원청2013-04-302013-04-30272024-03-22C738100청주대학교 지방교육재정연구원
168S000000096천안18140000충청남도교육청8151000천안교육지원청2013-04-302013-04-30282024-03-22C738100청주대학교 지방교육재정연구원
169S000000097공주18140000충청남도교육청8161000공주교육지원청2013-04-302013-04-30292024-03-22C738100청주대학교 지방교육재정연구원
170S000000099아산18140000충청남도교육청8181000아산교육지원청2013-04-302013-04-30302024-03-22C738100청주대학교 지방교육재정연구원
171S000000102논산계룡18140000충청남도교육청8222000논산계룡교육지원청2013-04-302016-11-11312024-03-22C738100청주대학교 지방교육재정연구원
172S000000109당진18140000충청남도교육청8291000당진교육지원청2013-04-302013-04-30322024-03-22C738100청주대학교 지방교육재정연구원
173S000000101금산18140000충청남도교육청8201000금산교육지원청2013-04-302013-04-30332024-03-22C738100청주대학교 지방교육재정연구원
174S000000098보령18140000충청남도교육청8171000보령교육지원청2013-04-302023-08-25972024-03-22C738100청주대학교 지방교육재정연구원
175S000000108태안18140000충청남도교육청8281000태안교육지원청2013-04-302023-08-25982024-03-22C738100청주대학교 지방교육재정연구원
176S000000100서산18140000충청남도교육청8191000서산교육지원청2013-04-302023-08-25992024-03-22C738100청주대학교 지방교육재정연구원