Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 KiB
Average record size in memory98.0 B

Variable types

Text4
Categorical4
Numeric2
DateTime1

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/15021158/standard.do

Alerts

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
시도교육청명 is highly overall correlated with 시도교육청코드 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-06 08:04:22.616428
Analysis finished2024-04-06 08:04:25.965636
Duration3.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학구ID
Text

Distinct5867
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:26.323643image/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

Unique4610 ?
Unique (%)46.1%

Sample

1st rowZ000201267
2nd rowZ000150125
3rd rowZ000210301
4th rowZ000100534
5th rowZ000150541
ValueCountFrequency (%)
z000300023 28
 
0.3%
z000300024 23
 
0.2%
z000151068 22
 
0.2%
z000300017 20
 
0.2%
z000151024 19
 
0.2%
z000300018 19
 
0.2%
z000300014 18
 
0.2%
z000151074 18
 
0.2%
z000300020 18
 
0.2%
z000151072 17
 
0.2%
Other values (5857) 9798
98.0%
2024-04-06T17:04:27.041787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45607
45.6%
1 13134
 
13.1%
Z 10000
 
10.0%
2 6711
 
6.7%
5 6065
 
6.1%
3 4583
 
4.6%
4 3248
 
3.2%
6 2817
 
2.8%
8 2793
 
2.8%
7 2671
 
2.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45607
50.7%
1 13134
 
14.6%
2 6711
 
7.5%
5 6065
 
6.7%
3 4583
 
5.1%
4 3248
 
3.6%
6 2817
 
3.1%
8 2793
 
3.1%
7 2671
 
3.0%
9 2371
 
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 45607
50.7%
1 13134
 
14.6%
2 6711
 
7.5%
5 6065
 
6.7%
3 4583
 
5.1%
4 3248
 
3.6%
6 2817
 
3.1%
8 2793
 
3.1%
7 2671
 
3.0%
9 2371
 
2.6%
Latin
ValueCountFrequency (%)
Z 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45607
45.6%
1 13134
 
13.1%
Z 10000
 
10.0%
2 6711
 
6.7%
5 6065
 
6.1%
3 4583
 
4.6%
4 3248
 
3.2%
6 2817
 
2.8%
8 2793
 
2.8%
7 2671
 
2.7%

학교ID
Text

Distinct7037
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:27.609959image/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

Unique5493 ?
Unique (%)54.9%

Sample

1st rowB000011136
2nd rowB000003805
3rd rowB000009589
4th rowB000002423
5th rowB000023990
ValueCountFrequency (%)
b000006445 17
 
0.2%
b000006519 17
 
0.2%
b000030428 17
 
0.2%
b000006517 16
 
0.2%
b000006521 16
 
0.2%
b000006456 15
 
0.1%
b000006512 15
 
0.1%
b000006453 14
 
0.1%
b000006464 14
 
0.1%
b000006457 14
 
0.1%
Other values (7027) 9845
98.5%
2024-04-06T17:04:29.223199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51326
51.3%
B 10000
 
10.0%
1 5100
 
5.1%
2 4893
 
4.9%
6 4474
 
4.5%
4 4371
 
4.4%
9 4298
 
4.3%
5 4152
 
4.2%
7 4116
 
4.1%
3 3762
 
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 51326
57.0%
1 5100
 
5.7%
2 4893
 
5.4%
6 4474
 
5.0%
4 4371
 
4.9%
9 4298
 
4.8%
5 4152
 
4.6%
7 4116
 
4.6%
3 3762
 
4.2%
8 3508
 
3.9%
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 51326
57.0%
1 5100
 
5.7%
2 4893
 
5.4%
6 4474
 
5.0%
4 4371
 
4.9%
9 4298
 
4.8%
5 4152
 
4.6%
7 4116
 
4.6%
3 3762
 
4.2%
8 3508
 
3.9%
Latin
ValueCountFrequency (%)
B 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51326
51.3%
B 10000
 
10.0%
1 5100
 
5.1%
2 4893
 
4.9%
6 4474
 
4.5%
4 4371
 
4.4%
9 4298
 
4.3%
5 4152
 
4.2%
7 4116
 
4.1%
3 3762
 
3.8%

학교명
Text

Distinct6229
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:30.133346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.36
Min length5

Characters and Unicode

Total characters63600
Distinct characters401
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

Unique4452 ?
Unique (%)44.5%

Sample

1st row성포중학교
2nd row계남초등학교
3rd row서정중학교
4th row서울송중초등학교
5th row삼성현초등학교
ValueCountFrequency (%)
화정초등학교 19
 
0.2%
옥산초등학교 19
 
0.2%
외서초등학교 19
 
0.2%
거문초등학교 18
 
0.2%
별량초등학교 17
 
0.2%
백초초등학교 17
 
0.2%
상사초등학교 16
 
0.2%
관기초등학교 15
 
0.1%
신풍초등학교 15
 
0.1%
주암초등학교 15
 
0.1%
Other values (6219) 9830
98.3%
2024-04-06T17:04:32.036348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10269
16.1%
학 10121
15.9%
등 7152
 
11.2%
초 6591
 
10.4%
중 3088
 
4.9%
산 857
 
1.3%
서 788
 
1.2%
대 782
 
1.2%
천 774
 
1.2%
동 735
 
1.2%
Other values (391) 22443
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63593
> 99.9%
Open Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10269
16.1%
학 10121
15.9%
등 7152
 
11.2%
초 6591
 
10.4%
중 3088
 
4.9%
산 857
 
1.3%
서 788
 
1.2%
대 782
 
1.2%
천 774
 
1.2%
동 735
 
1.2%
Other values (389) 22436
35.3%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63593
> 99.9%
Common 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10269
16.1%
학 10121
15.9%
등 7152
 
11.2%
초 6591
 
10.4%
중 3088
 
4.9%
산 857
 
1.3%
서 788
 
1.2%
대 782
 
1.2%
천 774
 
1.2%
동 735
 
1.2%
Other values (389) 22436
35.3%
Common
ValueCountFrequency (%)
( 4
57.1%
) 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63593
> 99.9%
ASCII 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10269
16.1%
학 10121
15.9%
등 7152
 
11.2%
초 6591
 
10.4%
중 3088
 
4.9%
산 857
 
1.3%
서 788
 
1.2%
대 782
 
1.2%
천 774
 
1.2%
동 735
 
1.2%
Other values (389) 22436
35.3%
ASCII
ValueCountFrequency (%)
( 4
57.1%
) 3
42.9%

학교급구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초등학교
6522 
중학교
2873 
고등학교
 
605

Length

Max length4
Median length4
Mean length3.7127
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 6522
65.2%
중학교 2873
28.7%
고등학교 605
 
6.0%

Length

2024-04-06T17:04:32.438378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:04:32.727623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 6522
65.2%
중학교 2873
28.7%
고등학교 605
 
6.0%

시도교육청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8012917
Minimum7010000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:04:32.938170image/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 deviation655222.6
Coefficient of variation (CV)0.081770796
Kurtosis-1.2545061
Mean8012917
Median Absolute Deviation (MAD)490000
Skewness0.15739483
Sum8.012917 × 1010
Variance4.2931665 × 1011
MonotonicityNot monotonic
2024-04-06T17:04:33.333654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7530000 2050
20.5%
8490000 1270
12.7%
8750000 1174
11.7%
9010000 958
9.6%
7010000 743
 
7.4%
8140000 639
 
6.4%
8000000 501
 
5.0%
7801000 486
 
4.9%
8321000 464
 
4.6%
7150000 355
 
3.5%
Other values (7) 1360
13.6%
ValueCountFrequency (%)
7010000 743
 
7.4%
7150000 355
 
3.5%
7240000 271
 
2.7%
7310000 292
 
2.9%
7380000 189
 
1.9%
7430000 263
 
2.6%
7480000 140
 
1.4%
7530000 2050
20.5%
7801000 486
 
4.9%
8000000 501
 
5.0%
ValueCountFrequency (%)
9300000 80
 
0.8%
9290000 125
 
1.2%
9010000 958
9.6%
8750000 1174
11.7%
8490000 1270
12.7%
8321000 464
 
4.6%
8140000 639
 
6.4%
8000000 501
 
5.0%
7801000 486
 
4.9%
7530000 2050
20.5%

시도교육청명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2050 
전라남도교육청
1270 
경상북도교육청
1174 
경상남도교육청
958 
서울특별시교육청
743 
Other values (12)
3805 

Length

Max length10
Median length8
Mean length7.3668
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도교육청
2nd row경기도교육청
3rd row경기도교육청
4th row서울특별시교육청
5th row경상북도교육청

Common Values

ValueCountFrequency (%)
경기도교육청 2050
20.5%
전라남도교육청 1270
12.7%
경상북도교육청 1174
11.7%
경상남도교육청 958
9.6%
서울특별시교육청 743
 
7.4%
충청남도교육청 639
 
6.4%
충청북도교육청 501
 
5.0%
강원특별자치도교육청 486
 
4.9%
전북특별자치도교육청 464
 
4.6%
부산광역시교육청 355
 
3.5%
Other values (7) 1360
13.6%

Length

2024-04-06T17:04:33.693330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2050
20.5%
전라남도교육청 1270
12.7%
경상북도교육청 1174
11.7%
경상남도교육청 958
9.6%
서울특별시교육청 743
 
7.4%
충청남도교육청 639
 
6.4%
충청북도교육청 501
 
5.0%
강원특별자치도교육청 486
 
4.9%
전북특별자치도교육청 464
 
4.6%
부산광역시교육청 355
 
3.5%
Other values (7) 1360
13.6%

교육지원청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8089759.5
Minimum7021000
Maximum9300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:04:33.961998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7021000
5-th percentile7121200
Q17561000
median8021000
Q38661000
95-th percentile9151000
Maximum9300000
Range2279000
Interquartile range (IQR)1100000

Descriptive statistics

Standard deviation659266.07
Coefficient of variation (CV)0.081493901
Kurtosis-1.226535
Mean8089759.5
Median Absolute Deviation (MAD)530000
Skewness0.13146692
Sum8.0897595 × 1010
Variance4.3463174 × 1011
MonotonicityNot monotonic
2024-04-06T17:04:34.241524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8511000 356
 
3.6%
7621000 235
 
2.4%
8521000 224
 
2.2%
8771000 203
 
2.0%
7679000 187
 
1.9%
8011000 180
 
1.8%
9022000 162
 
1.6%
7751000 160
 
1.6%
7441000 143
 
1.4%
7541000 126
 
1.3%
Other values (167) 8024
80.2%
ValueCountFrequency (%)
7021000 60
0.6%
7031000 84
0.8%
7041000 78
0.8%
7051000 74
0.7%
7061000 34
 
0.3%
7081300 85
0.9%
7091300 75
0.8%
7121200 52
0.5%
7130000 95
0.9%
7132000 54
0.5%
ValueCountFrequency (%)
9300000 80
0.8%
9299000 38
0.4%
9296000 87
0.9%
9221000 36
0.4%
9211000 45
0.4%
9201000 28
 
0.3%
9191000 23
 
0.2%
9181000 23
 
0.2%
9171000 20
 
0.2%
9161000 36
0.4%

교육지원청명
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:04:34.725794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.6173
Min length10

Characters and Unicode

Total characters116173
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 row경상남도거제교육지원청
2nd row경기도부천교육지원청
3rd row경기도고양교육지원청
4th row서울특별시성북강북교육지원청
5th row경상북도경산교육지원청
ValueCountFrequency (%)
전라남도여수교육지원청 356
 
3.6%
경기도고양교육지원청 235
 
2.4%
전라남도순천교육지원청 224
 
2.2%
경상북도경주교육지원청 203
 
2.0%
경기도화성오산교육지원청 187
 
1.9%
충청북도청주교육지원청 180
 
1.8%
경상남도창원교육지원청 162
 
1.6%
경기도용인교육지원청 158
 
1.6%
대전광역시동부교육지원청 143
 
1.4%
경기도수원교육지원청 126
 
1.3%
Other values (167) 8026
80.3%
2024-04-06T17:04:35.451870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 11380
 
9.8%
원 10797
 
9.3%
교 10000
 
8.6%
육 10000
 
8.6%
지 9920
 
8.5%
도 7742
 
6.7%
경 4498
 
3.9%
남 3752
 
3.2%
시 2510
 
2.2%
북 2509
 
2.2%
Other values (123) 43065
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116173
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11380
 
9.8%
원 10797
 
9.3%
교 10000
 
8.6%
육 10000
 
8.6%
지 9920
 
8.5%
도 7742
 
6.7%
경 4498
 
3.9%
남 3752
 
3.2%
시 2510
 
2.2%
북 2509
 
2.2%
Other values (123) 43065
37.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11380
 
9.8%
원 10797
 
9.3%
교 10000
 
8.6%
육 10000
 
8.6%
지 9920
 
8.5%
도 7742
 
6.7%
경 4498
 
3.9%
남 3752
 
3.2%
시 2510
 
2.2%
북 2509
 
2.2%
Other values (123) 43065
37.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116173
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 11380
 
9.8%
원 10797
 
9.3%
교 10000
 
8.6%
육 10000
 
8.6%
지 9920
 
8.5%
도 7742
 
6.7%
경 4498
 
3.9%
남 3752
 
3.2%
시 2510
 
2.2%
북 2509
 
2.2%
Other values (123) 43065
37.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-22 00:00:00
Maximum2024-03-22 00:00:00
2024-04-06T17:04:35.703388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:35.940094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
C738100
10000 

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 10000
100.0%

Length

2024-04-06T17:04:36.186255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:04:36.366904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c738100 10000
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
청주대학교 지방교육재정연구원
10000 

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 10000
100.0%

Length

2024-04-06T17:04:36.604743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:04:36.792892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청주대학교 10000
50.0%
지방교육재정연구원 10000
50.0%

Interactions

2024-04-06T17:04:24.880311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.528761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:25.083420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.705630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:04:36.897250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급구분시도교육청코드시도교육청명교육지원청코드
학교급구분1.0000.2910.3530.307
시도교육청코드0.2911.0001.0000.986
시도교육청명0.3531.0001.0000.963
교육지원청코드0.3070.9860.9631.000
2024-04-06T17:04:37.098420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청명학교급구분
시도교육청명1.0000.204
학교급구분0.2041.000
2024-04-06T17:04:37.253288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도교육청코드교육지원청코드학교급구분시도교육청명
시도교육청코드1.0000.9890.1851.000
교육지원청코드0.9891.0000.1940.833
학교급구분0.1850.1941.0000.204
시도교육청명1.0000.8330.2041.000

Missing values

2024-04-06T17:04:25.384644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:04:25.788269image/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

학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자제공기관코드제공기관명
16432Z000201267B000011136성포중학교중학교9010000경상남도교육청9111000경상남도거제교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
2689Z000150125B000003805계남초등학교초등학교7530000경기도교육청7581000경기도부천교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
6528Z000210301B000009589서정중학교중학교7530000경기도교육청7621000경기도고양교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
13368Z000100534B000002423서울송중초등학교초등학교7010000서울특별시교육청7121200서울특별시성북강북교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
3130Z000150541B000023990삼성현초등학교초등학교8750000경상북도교육청8851000경상북도경산교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
15903Z000210112B000008641불로중학교중학교8750000경상북도교육청8851000경상북도경산교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
12364Z000150949B000006536산포초등학교초등학교8490000전라남도교육청8531000전라남도나주교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
11465Z000102425B000004609수동초등학교초등학교7530000경기도교육청7652000경기도구리남양주교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
8676Z000200051B000008525석포여자중학교중학교7150000부산광역시교육청7181000부산광역시남부교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
1623Z000102800B000004386장천초등학교초등학교7530000경기도교육청7741000경기도이천교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
학구ID학교ID학교명학교급구분시도교육청코드시도교육청명교육지원청코드교육지원청명데이터기준일자제공기관코드제공기관명
3394Z000151389B000024619순천인안초등학교초등학교8490000전라남도교육청8521000전라남도순천교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
891Z000100886B000002794대구범어초등학교초등학교7240000대구광역시교육청7251000대구광역시동부교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
9205Z000200054B000008538동신중학교중학교7150000부산광역시교육청7191000부산광역시동래교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
3720Z000103970B000005872은하초등학교초등학교8140000충청남도교육청8261000충청남도홍성교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
12934Z000150832B000007002모아초등학교초등학교8750000경상북도교육청8771000경상북도경주교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
12594Z000103609B000005480맹동초등학교초등학교8000000충청북도교육청8101000충청북도음성교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
1512Z000150840B000006981산대초등학교초등학교8750000경상북도교육청8771000경상북도경주교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
6152Z000200380B000009343이현중학교중학교7530000경기도교육청7751000경기도용인교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
15566Z000150544B000007281비안초등학교초등학교8750000경상북도교육청8871000경상북도의성교육지원청2024-03-22C738100청주대학교 지방교육재정연구원
6704Z000300017B000012204오성고등학교고등학교7240000대구광역시교육청7251000대구광역시동부교육지원청2024-03-22C738100청주대학교 지방교육재정연구원