Overview

Dataset statistics

Number of variables13
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory111.7 B

Variable types

Categorical9
Text3
Boolean1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,차량운영여부,운행차량수,신고차량수,9인승신고차량수,12인승신고차량수,15인승신고차량수,공시차수,주소
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20739/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 차량운영여부 and 2 other fieldsHigh correlation
운행차량수 is highly overall correlated with 차량운영여부 and 2 other fieldsHigh correlation
설립유형 is highly overall correlated with 차량운영여부High correlation
15인승신고차량수 is highly overall correlated with 차량운영여부 and 2 other fieldsHigh correlation
9인승신고차량수 is highly imbalanced (90.1%)Imbalance
12인승신고차량수 is highly imbalanced (63.8%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:03:52.697685
Analysis finished2024-03-13 14:03:53.678105
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
서울특별시교육청
78 

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 78
100.0%

Length

2024-03-13T23:03:53.735557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:53.839643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 78
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
북부교육지원청
78 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 78
100.0%

Length

2024-03-13T23:03:53.962986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:54.409035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 78
100.0%

유치원코드
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-03-13T23:03:54.619649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2808
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

Unique78 ?
Unique (%)100.0%

Sample

1st row0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3
2nd row1ecec08c-ed86-b044-e053-0a32095ab044
3rd row1ecec08c-ed88-b044-e053-0a32095ab044
4th row1ecec08c-eed1-b044-e053-0a32095ab044
5th row1ecec08c-ef26-b044-e053-0a32095ab044
ValueCountFrequency (%)
0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3 1
 
1.3%
1ecec08d-08f6-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2d-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2c-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09d0-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c4-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c3-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c2-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0d3e-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0742-b044-e053-0a32095ab044 1
 
1.3%
Other values (68) 68
87.2%
2024-03-13T23:03:54.976995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 464
16.5%
4 319
11.4%
- 312
11.1%
e 248
8.8%
c 203
7.2%
3 167
 
5.9%
b 165
 
5.9%
5 163
 
5.8%
a 155
 
5.5%
1 106
 
3.8%
Other values (7) 506
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1579
56.2%
Lowercase Letter 917
32.7%
Dash Punctuation 312
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 464
29.4%
4 319
20.2%
3 167
 
10.6%
5 163
 
10.3%
1 106
 
6.7%
8 100
 
6.3%
2 99
 
6.3%
9 94
 
6.0%
6 37
 
2.3%
7 30
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 248
27.0%
c 203
22.1%
b 165
18.0%
a 155
16.9%
d 75
 
8.2%
f 71
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1891
67.3%
Latin 917
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 464
24.5%
4 319
16.9%
- 312
16.5%
3 167
 
8.8%
5 163
 
8.6%
1 106
 
5.6%
8 100
 
5.3%
2 99
 
5.2%
9 94
 
5.0%
6 37
 
2.0%
Latin
ValueCountFrequency (%)
e 248
27.0%
c 203
22.1%
b 165
18.0%
a 155
16.9%
d 75
 
8.2%
f 71
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 464
16.5%
4 319
11.4%
- 312
11.1%
e 248
8.8%
c 203
7.2%
3 167
 
5.9%
b 165
 
5.9%
5 163
 
5.8%
a 155
 
5.5%
1 106
 
3.8%
Other values (7) 506
18.0%

유치원명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-03-13T23:03:55.251246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2948718
Min length5

Characters and Unicode

Total characters569
Distinct characters103
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

Unique78 ?
Unique (%)100.0%

Sample

1st row서울상계초등학교병설유치원
2nd row한울유치원
3rd row효천유치원
4th row영은유치원
5th row키즈위즈유치원
ValueCountFrequency (%)
서울상계초등학교병설유치원 1
 
1.2%
이레유치원 1
 
1.2%
꿈터유치원 1
 
1.2%
한양유치원 1
 
1.2%
토마토유치원 1
 
1.2%
원암유치원 1
 
1.2%
사랑샘유치원 1
 
1.2%
아랑유치원 1
 
1.2%
서울노일유치원 1
 
1.2%
연세유치원 1
 
1.2%
Other values (70) 70
87.5%
2024-03-13T23:03:55.634981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 84
14.8%
치 79
13.9%
유 78
13.7%
울 23
 
4.0%
학 21
 
3.7%
서 21
 
3.7%
교 19
 
3.3%
초 18
 
3.2%
등 17
 
3.0%
병 17
 
3.0%
Other values (93) 192
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
99.6%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 84
14.8%
치 79
13.9%
유 78
13.8%
울 23
 
4.1%
학 21
 
3.7%
서 21
 
3.7%
교 19
 
3.4%
초 18
 
3.2%
등 17
 
3.0%
병 17
 
3.0%
Other values (92) 190
33.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 84
14.8%
치 79
13.9%
유 78
13.8%
울 23
 
4.1%
학 21
 
3.7%
서 21
 
3.7%
교 19
 
3.4%
초 18
 
3.2%
등 17
 
3.0%
병 17
 
3.0%
Other values (92) 190
33.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 84
14.8%
치 79
13.9%
유 78
13.8%
울 23
 
4.1%
학 21
 
3.7%
서 21
 
3.7%
교 19
 
3.4%
초 18
 
3.2%
등 17
 
3.0%
병 17
 
3.0%
Other values (92) 190
33.5%
ASCII
ValueCountFrequency (%)
2
100.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
사립(사인)
49 
공립(병설)
17 
사립(법인)
9 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 49
62.8%
공립(병설) 17
 
21.8%
사립(법인) 9
 
11.5%
공립(단설) 3
 
3.8%

Length

2024-03-13T23:03:55.807060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:55.937973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 49
62.8%
공립(병설 17
 
21.8%
사립(법인 9
 
11.5%
공립(단설 3
 
3.8%

차량운영여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size210.0 B
True
53 
False
25 
ValueCountFrequency (%)
True 53
67.9%
False 25
32.1%
2024-03-13T23:03:56.029015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운행차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
25 
1
25 
2
17 
3
8 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
32.1%
1 25
32.1%
2 17
21.8%
3 8
 
10.3%
4 3
 
3.8%

Length

2024-03-13T23:03:56.124528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:56.237259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
32.1%
1 25
32.1%
2 17
21.8%
3 8
 
10.3%
4 3
 
3.8%

신고차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
25 
1
25 
2
17 
3
8 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
32.1%
1 25
32.1%
2 17
21.8%
3 8
 
10.3%
4 3
 
3.8%

Length

2024-03-13T23:03:56.405574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:56.509921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
32.1%
1 25
32.1%
2 17
21.8%
3 8
 
10.3%
4 3
 
3.8%

9인승신고차량수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
77 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 77
98.7%
1 1
 
1.3%

Length

2024-03-13T23:03:56.648934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:56.742088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 77
98.7%
1 1
 
1.3%

12인승신고차량수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
69 
1
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 69
88.5%
1 8
 
10.3%
2 1
 
1.3%

Length

2024-03-13T23:03:56.839483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:56.947619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 69
88.5%
1 8
 
10.3%
2 1
 
1.3%

15인승신고차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
29 
1
24 
2
18 
3
4 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
37.2%
1 24
30.8%
2 18
23.1%
3 4
 
5.1%
4 3
 
3.8%

Length

2024-03-13T23:03:57.072189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:57.177012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
37.2%
1 24
30.8%
2 18
23.1%
3 4
 
5.1%
4 3
 
3.8%

공시차수
Categorical

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
20232
59 
20202
6 
20192
 
5
20182
 
5
20212
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20232
2nd row20212
3rd row20232
4th row20202
5th row20232

Common Values

ValueCountFrequency (%)
20232 59
75.6%
20202 6
 
7.7%
20192 5
 
6.4%
20182 5
 
6.4%
20212 3
 
3.8%

Length

2024-03-13T23:03:57.323012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:03:57.439701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 59
75.6%
20202 6
 
7.7%
20192 5
 
6.4%
20182 5
 
6.4%
20212 3
 
3.8%

주소
Text

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-03-13T23:03:57.766810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.089744
Min length15

Characters and Unicode

Total characters1489
Distinct characters54
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

Unique72 ?
Unique (%)92.3%

Sample

1st row서울특별시 노원구 상계로9길 39
2nd row서울특별시 노원구 덕릉로122길 12-6
3rd row서울특별시 노원구 중계로18길 14
4th row서울특별시 노원구 동일로213길 78
5th row서울특별시 노원구 덕릉로86길 65
ValueCountFrequency (%)
노원구 78
25.0%
서울특별시 77
24.7%
한글비석로 5
 
1.6%
26 3
 
1.0%
섬밭로 3
 
1.0%
월계로45가길 3
 
1.0%
23 3
 
1.0%
동일로227길 3
 
1.0%
16 3
 
1.0%
한글비석로1길 2
 
0.6%
Other values (112) 132
42.3%
2024-03-13T23:03:58.255222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
15.7%
노 83
 
5.6%
원 83
 
5.6%
서 78
 
5.2%
구 78
 
5.2%
울 78
 
5.2%
특 77
 
5.2%
별 77
 
5.2%
시 77
 
5.2%
로 77
 
5.2%
Other values (44) 547
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
63.0%
Decimal Number 310
 
20.8%
Space Separator 234
 
15.7%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 83
8.8%
원 83
8.8%
서 78
8.3%
구 78
8.3%
울 78
8.3%
특 77
8.2%
별 77
8.2%
시 77
8.2%
로 77
8.2%
길 52
 
5.5%
Other values (32) 178
19.0%
Decimal Number
ValueCountFrequency (%)
2 61
19.7%
1 61
19.7%
3 33
10.6%
5 31
10.0%
4 30
9.7%
6 25
8.1%
8 22
 
7.1%
7 20
 
6.5%
9 17
 
5.5%
0 10
 
3.2%
Space Separator
ValueCountFrequency (%)
234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 938
63.0%
Common 551
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 83
8.8%
원 83
8.8%
서 78
8.3%
구 78
8.3%
울 78
8.3%
특 77
8.2%
별 77
8.2%
시 77
8.2%
로 77
8.2%
길 52
 
5.5%
Other values (32) 178
19.0%
Common
ValueCountFrequency (%)
234
42.5%
2 61
 
11.1%
1 61
 
11.1%
3 33
 
6.0%
5 31
 
5.6%
4 30
 
5.4%
6 25
 
4.5%
8 22
 
4.0%
7 20
 
3.6%
9 17
 
3.1%
Other values (2) 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
63.0%
ASCII 551
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
42.5%
2 61
 
11.1%
1 61
 
11.1%
3 33
 
6.0%
5 31
 
5.6%
4 30
 
5.4%
6 25
 
4.5%
8 22
 
4.0%
7 20
 
3.6%
9 17
 
3.1%
Other values (2) 17
 
3.1%
Hangul
ValueCountFrequency (%)
노 83
8.8%
원 83
8.8%
서 78
8.3%
구 78
8.3%
울 78
8.3%
특 77
8.2%
별 77
8.2%
시 77
8.2%
로 77
8.2%
길 52
 
5.5%
Other values (32) 178
19.0%

Correlations

2024-03-13T23:03:58.360484image/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
설립유형1.0001.0001.0000.9740.5470.5470.0000.1920.4890.1230.000
차량운영여부1.0001.0000.9741.0001.0001.0000.0000.1160.7520.2240.000
운행차량수1.0001.0000.5471.0001.0001.0000.2100.2480.9890.5560.717
신고차량수1.0001.0000.5471.0001.0001.0000.2100.2480.9890.5560.717
9인승신고차량수1.0001.0000.0000.0000.2100.2101.0000.0000.0000.0001.000
12인승신고차량수1.0001.0000.1920.1160.2480.2480.0001.0000.0000.0001.000
15인승신고차량수1.0001.0000.4890.7520.9890.9890.0000.0001.0000.4140.000
공시차수1.0001.0000.1230.2240.5560.5560.0000.0000.4141.0000.000
주소1.0001.0000.0000.0000.7170.7171.0001.0000.0000.0001.000
2024-03-13T23:03:58.524548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수차량운영여부9인승신고차량수신고차량수설립유형15인승신고차량수운행차량수12인승신고차량수
공시차수1.0000.2680.0000.2340.0970.1630.2340.000
차량운영여부0.2681.0000.0000.9800.8440.8690.9800.190
9인승신고차량수0.0000.0001.0000.2500.0000.0000.2500.000
신고차량수0.2340.9800.2501.0000.4700.8501.0000.188
설립유형0.0970.8440.0000.4701.0000.4150.4700.179
15인승신고차량수0.1630.8690.0000.8500.4151.0000.8500.000
운행차량수0.2340.9800.2501.0000.4700.8501.0000.188
12인승신고차량수0.0000.1900.0000.1880.1790.0000.1881.000
2024-03-13T23:03:58.677220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수
설립유형1.0000.8440.4700.4700.0000.1790.4150.097
차량운영여부0.8441.0000.9800.9800.0000.1900.8690.268
운행차량수0.4700.9801.0001.0000.2500.1880.8500.234
신고차량수0.4700.9801.0001.0000.2500.1880.8500.234
9인승신고차량수0.0000.0000.2500.2501.0000.0000.0000.000
12인승신고차량수0.1790.1900.1880.1880.0001.0000.0000.000
15인승신고차량수0.4150.8690.8500.8500.0000.0001.0000.163
공시차수0.0970.2680.2340.2340.0000.0000.1631.000

Missing values

2024-03-13T23:03:53.358080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:03:53.582940image/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
0서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 상계로9길 39
1서울특별시교육청북부교육지원청1ecec08c-ed86-b044-e053-0a32095ab044한울유치원사립(사인)Y1100120212서울특별시 노원구 덕릉로122길 12-6
2서울특별시교육청북부교육지원청1ecec08c-ed88-b044-e053-0a32095ab044효천유치원사립(사인)Y2200220232서울특별시 노원구 중계로18길 14
3서울특별시교육청북부교육지원청1ecec08c-eed1-b044-e053-0a32095ab044영은유치원사립(사인)Y1100120202서울특별시 노원구 동일로213길 78
4서울특별시교육청북부교육지원청1ecec08c-ef26-b044-e053-0a32095ab044키즈위즈유치원사립(사인)Y1100120232서울특별시 노원구 덕릉로86길 65
5서울특별시교육청북부교육지원청1ecec08c-efcd-b044-e053-0a32095ab044공릉 사라유치원사립(사인)Y2200220232서울특별시 노원구 동일로198가길 13
6서울특별시교육청북부교육지원청1ecec08c-efce-b044-e053-0a32095ab044상원유치원사립(사인)Y3301220232서울특별시 노원구 노원로19길 33
7서울특별시교육청북부교육지원청1ecec08c-efcf-b044-e053-0a32095ab044서울수락초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 동일로 1745
8서울특별시교육청북부교육지원청1ecec08c-efd7-b044-e053-0a32095ab044육사유치원사립(사인)N0000020232서울 노원구 공릉동 24-1
9서울특별시교육청북부교육지원청1ecec08c-efd8-b044-e053-0a32095ab044이레유치원사립(사인)Y3300320192서울특별시 노원구 월계로55길 16
교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
68서울특별시교육청북부교육지원청1ff76abf-a519-49f7-9c73-cdb63feb87e7서울연지유치원공립(단설)N0000020232서울특별시 노원구 월계로55길 16
69서울특별시교육청북부교육지원청233930d4-6ab2-4671-88de-f431e1ea4801서울수락산유치원공립(단설)N0000020232서울특별시 노원구 동일로245길 162
70서울특별시교육청북부교육지원청30a543a1-a1cd-4d01-b5a2-1ff881664d96서울상원초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 한글비석로54길 119
71서울특별시교육청북부교육지원청5273f8fa-4226-465b-8a8e-83d366b4c2fe서울당현초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 동일로213길 52
72서울특별시교육청북부교육지원청55377202-19bf-46f9-93eb-e81f4c49ddba서울용동초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 한글비석로1길 81-11
73서울특별시교육청북부교육지원청7594e46b-0646-4ce2-9bce-ad3493a6b4ad꿈동산아이유치원사립(법인)Y1100120232서울특별시 노원구 동일로227길 26
74서울특별시교육청북부교육지원청7b5c2e25-68ac-47e2-b661-53b594c85e6f서울공연초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 동일로192가길 16
75서울특별시교육청북부교육지원청b773220d-b371-4bc5-85f6-2bb2c8d0fee0서울월계초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 월계로45가길 10
76서울특별시교육청북부교육지원청d2ef6fed-c1e4-417d-8794-73f74106491f서울계상초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 한글비석로41가길 24
77서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)N0000020232서울특별시 노원구 노원로1길 36