Overview

Dataset statistics

Number of variables13
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory113.4 B

Variable types

Categorical9
Text3
Boolean1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,차량운영여부,운행차량수,신고차량수,9인승신고차량수,12인승신고차량수,15인승신고차량수,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20749/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
차량운영여부 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
신고차량수 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
설립유형 is highly overall correlated with 차량운영여부 and 3 other fieldsHigh correlation
15인승신고차량수 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
운행차량수 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
12인승신고차량수 is highly overall correlated with 공시차수High correlation
공시차수 is highly overall correlated with 12인승신고차량수High correlation
9인승신고차량수 is highly imbalanced (82.8%)Imbalance
12인승신고차량수 is highly imbalanced (60.9%)Imbalance
공시차수 is highly imbalanced (52.5%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 18:44:13.979982
Analysis finished2024-03-13 18:44:14.652769
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
서울특별시교육청
39 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 39
100.0%

Length

2024-03-14T03:44:14.696885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:14.767674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 39
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동작관악교육지원청
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

Length

2024-03-14T03:44:14.838367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:14.905082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T03:44:15.056977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1404
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2b-b044-e053-0a32095ab044
2nd row1ecec08c-ef06-b044-e053-0a32095ab044
3rd row1ecec08c-ef08-b044-e053-0a32095ab044
4th row1ecec08c-efc0-b044-e053-0a32095ab044
5th row1ecec08c-f124-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0571-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08fa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c8b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d68-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d69-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6a-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f8-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-03-14T03:44:15.349312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
56.0%
Lowercase Letter 462
32.9%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
28.8%
4 155
19.7%
3 87
 
11.1%
5 79
 
10.1%
8 63
 
8.0%
1 49
 
6.2%
9 47
 
6.0%
2 44
 
5.6%
6 20
 
2.5%
7 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
67.1%
Latin 462
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
24.0%
- 156
16.6%
4 155
16.5%
3 87
 
9.2%
5 79
 
8.4%
8 63
 
6.7%
1 49
 
5.2%
9 47
 
5.0%
2 44
 
4.7%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T03:44:15.532597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.7692308
Min length5

Characters and Unicode

Total characters303
Distinct characters63
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

Unique39 ?
Unique (%)100.0%

Sample

1st row한별유치원
2nd row동원유치원
3rd row서울관악초등학교병설유치원
4th row서울은천초등학교병설유치원
5th row서울신성초등학교병설유치원
ValueCountFrequency (%)
한별유치원 1
 
2.6%
애동유치원 1
 
2.6%
서울난곡초등학교병설유치원 1
 
2.6%
건영유치원 1
 
2.6%
해슬아유치원 1
 
2.6%
배꽃유치원 1
 
2.6%
새소슬유치원 1
 
2.6%
새싹유치원 1
 
2.6%
서울원당초등학교병설유치원 1
 
2.6%
명성유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-14T03:44:15.825553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
사립(사인)
20 
공립(병설)
12 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립(사인)
2nd row사립(사인)
3rd row공립(병설)
4th row공립(병설)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 20
51.3%
공립(병설) 12
30.8%
공립(단설) 4
 
10.3%
사립(법인) 3
 
7.7%

Length

2024-03-14T03:44:15.924065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.018824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
51.3%
공립(병설 12
30.8%
공립(단설 4
 
10.3%
사립(법인 3
 
7.7%

차량운영여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
22 
False
17 
ValueCountFrequency (%)
True 22
56.4%
False 17
43.6%
2024-03-14T03:44:16.099455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운행차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
17 
1
10 
2
8 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
43.6%
1 10
25.6%
2 8
20.5%
3 3
 
7.7%
4 1
 
2.6%

Length

2024-03-14T03:44:16.193434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.295137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
43.6%
1 10
25.6%
2 8
20.5%
3 3
 
7.7%
4 1
 
2.6%

신고차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
17 
1
10 
2
8 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
43.6%
1 10
25.6%
2 8
20.5%
3 3
 
7.7%
4 1
 
2.6%

Length

2024-03-14T03:44:16.386261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.479298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
43.6%
1 10
25.6%
2 8
20.5%
3 3
 
7.7%
4 1
 
2.6%

9인승신고차량수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
38 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
97.4%
2 1
 
2.6%

Length

2024-03-14T03:44:16.563591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.639939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
97.4%
2 1
 
2.6%

12인승신고차량수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
36 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
92.3%
1 3
 
7.7%

Length

2024-03-14T03:44:16.713752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.782103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
92.3%
1 3
 
7.7%

15인승신고차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
18 
1
12 
2
6 
3
2 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
46.2%
1 12
30.8%
2 6
 
15.4%
3 2
 
5.1%
4 1
 
2.6%

Length

2024-03-14T03:44:16.857710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:16.935375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
46.2%
1 12
30.8%
2 6
 
15.4%
3 2
 
5.1%
4 1
 
2.6%

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
20232
31 
20182
 
3
20192
 
3
20202
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row20232
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 31
79.5%
20182 3
 
7.7%
20192 3
 
7.7%
20202 1
 
2.6%
20212 1
 
2.6%

Length

2024-03-14T03:44:17.016531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:17.096712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 31
79.5%
20182 3
 
7.7%
20192 3
 
7.7%
20202 1
 
2.6%
20212 1
 
2.6%

주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T03:44:17.270792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.897436
Min length16

Characters and Unicode

Total characters698
Distinct characters63
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 관악구 남부순환로144길 65
2nd row서울특별시 관악구 행운1길 96
3rd row서울특별시 관악구 청룡4길 49
4th row서울특별시 관악구 은천로 69
5th row서울특별시 관악구 신림로 114
ValueCountFrequency (%)
서울특별시 39
25.0%
관악구 39
25.0%
은천로 3
 
1.9%
12 3
 
1.9%
청림5길 2
 
1.3%
22 2
 
1.3%
93 2
 
1.3%
20 2
 
1.3%
114 2
 
1.3%
광신길 1
 
0.6%
Other values (61) 61
39.1%
2024-03-14T03:44:17.567549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.8%
관 43
 
6.2%
악 43
 
6.2%
구 40
 
5.7%
서 39
 
5.6%
특 39
 
5.6%
별 39
 
5.6%
시 39
 
5.6%
울 39
 
5.6%
길 29
 
4.2%
Other values (53) 231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
65.5%
Decimal Number 123
 
17.6%
Space Separator 117
 
16.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
17.1%
2 20
16.3%
5 17
13.8%
4 16
13.0%
3 12
9.8%
6 10
8.1%
9 10
8.1%
0 8
 
6.5%
7 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
65.5%
Common 241
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Common
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
65.5%
ASCII 241
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%

Correlations

2024-03-14T03:44:17.654360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.9960.6380.6380.0000.0740.6530.3330.000
차량운영여부1.0001.0000.9961.0001.0001.0000.0000.0000.8170.2590.000
운행차량수1.0001.0000.6381.0001.0001.0000.4000.1510.9920.2680.889
신고차량수1.0001.0000.6381.0001.0001.0000.4000.1510.9920.2680.889
9인승신고차량수1.0001.0000.0000.0000.4000.4001.0000.0000.0000.4001.000
12인승신고차량수1.0001.0000.0740.0000.1510.1510.0001.0000.0000.5630.000
15인승신고차량수1.0001.0000.6530.8170.9920.9920.0000.0001.0000.1610.926
공시차수1.0001.0000.3330.2590.2680.2680.4000.5630.1611.0000.000
주소1.0001.0000.0000.0000.8890.8891.0000.0000.9260.0001.000
2024-03-14T03:44:17.753544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수차량운영여부9인승신고차량수신고차량수설립유형15인승신고차량수운행차량수12인승신고차량수
공시차수1.0000.3000.4650.0870.2690.0260.0870.651
차량운영여부0.3001.0000.0000.9590.9190.9040.9590.000
9인승신고차량수0.4650.0001.0000.4650.0000.0000.4650.000
신고차량수0.0870.9590.4651.0000.5580.8671.0000.170
설립유형0.2690.9190.0000.5581.0000.5740.5580.015
15인승신고차량수0.0260.9040.0000.8670.5741.0000.8670.000
운행차량수0.0870.9590.4651.0000.5580.8671.0000.170
12인승신고차량수0.6510.0000.0000.1700.0150.0000.1701.000
2024-03-14T03:44:18.072092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수
설립유형1.0000.9190.5580.5580.0000.0150.5740.269
차량운영여부0.9191.0000.9590.9590.0000.0000.9040.300
운행차량수0.5580.9591.0001.0000.4650.1700.8670.087
신고차량수0.5580.9591.0001.0000.4650.1700.8670.087
9인승신고차량수0.0000.0000.4650.4651.0000.0000.0000.465
12인승신고차량수0.0150.0000.1700.1700.0001.0000.0000.651
15인승신고차량수0.5740.9040.8670.8670.0000.0001.0000.026
공시차수0.2690.3000.0870.0870.4650.6510.0261.000

Missing values

2024-03-14T03:44:14.467071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T03:44:14.603007image/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

교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)Y1100120232서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)Y2200220232서울특별시 관악구 행운1길 96
2서울특별시교육청동작관악교육지원청1ecec08c-ef08-b044-e053-0a32095ab044서울관악초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 청룡4길 49
3서울특별시교육청동작관악교육지원청1ecec08c-efc0-b044-e053-0a32095ab044서울은천초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 은천로 69
4서울특별시교육청동작관악교육지원청1ecec08c-f124-b044-e053-0a32095ab044서울신성초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 신림로 114
5서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)Y2201120182서울특별시 관악구 관악로30길 12
6서울특별시교육청동작관악교육지원청1ecec08c-f1af-b044-e053-0a32095ab044현대유치원사립(사인)Y1100120232서울특별시 관악구 관악로40길 55
7서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)Y1101020192서울특별시 관악구 신원로3길 59-9
8서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)Y1100120182서울특별시 관악구 낙성대역14길 6
9서울특별시교육청동작관악교육지원청1ecec08c-f5f1-b044-e053-0a32095ab044종인유치원사립(사인)N0000020202서울특별시 관악구 솔밭로 20
교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)Y1100120232서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)Y1100120232서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)N0000020232서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)N0000020232서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)N0000020232서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)N0000020232서울특별시 관악구 문성로28길 31