Overview

Dataset statistics

Number of variables13
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory113.7 B

Variable types

Categorical7
Text3
Boolean1
Numeric2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,차량운영여부,운행차량수,신고차량수,9인승신고차량수,12인승신고차량수,15인승신고차량수,공시차수,주소
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20745/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
9인승신고차량수 has constant value ""Constant
차량운영여부 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
설립유형 is highly overall correlated with 차량운영여부 and 1 other fieldsHigh correlation
운행차량수 is highly overall correlated with 신고차량수 and 3 other fieldsHigh correlation
신고차량수 is highly overall correlated with 15인승신고차량수 and 1 other fieldsHigh correlation
15인승신고차량수 is highly overall correlated with 신고차량수 and 1 other fieldsHigh correlation
12인승신고차량수 is highly imbalanced (58.6%)Imbalance
공시차수 is highly imbalanced (57.1%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
신고차량수 has 14 (38.9%) zerosZeros
15인승신고차량수 has 16 (44.4%) zerosZeros

Reproduction

Analysis started2024-03-13 11:48:54.876218
Analysis finished2024-03-13 11:48:56.405651
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-03-13T20:48:56.508730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:56.657785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
남부교육지원청
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부교육지원청 36
100.0%

Length

2024-03-13T20:48:56.812114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:56.930145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T20:48:57.199707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2f-b044-e053-0a32095ab044
2nd row1ecec08c-eecb-b044-e053-0a32095ab044
3rd row1ecec08c-efa0-b044-e053-0a32095ab044
4th row1ecec08c-f052-b044-e053-0a32095ab044
5th row1ecec08c-f1b3-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08c-eecb-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0630-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-012c-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0141-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-01d6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-02b2-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0556-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0557-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08be-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T20:48:57.607647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 722
55.7%
Lowercase Letter 430
33.2%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
30.9%
4 141
19.5%
5 80
 
11.1%
3 74
 
10.2%
2 51
 
7.1%
1 46
 
6.4%
9 46
 
6.4%
8 39
 
5.4%
6 12
 
1.7%
7 10
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
66.8%
Latin 430
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 223
25.8%
- 144
16.6%
4 141
16.3%
5 80
 
9.2%
3 74
 
8.5%
2 51
 
5.9%
1 46
 
5.3%
9 46
 
5.3%
8 39
 
4.5%
6 12
 
1.4%
Latin
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T20:48:57.867352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.1666667
Min length5

Characters and Unicode

Total characters294
Distinct characters67
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울아람유치원
2nd row정훈유치원
3rd row미림유치원
4th row서울세곡초등학교병설유치원
5th row서울개봉초등학교병설유치원
ValueCountFrequency (%)
서울아람유치원 1
 
2.8%
정훈유치원 1
 
2.8%
푸른동산유치원 1
 
2.8%
동부유치원 1
 
2.8%
예쁨유치원 1
 
2.8%
서울구일초등학교병설유치원 1
 
2.8%
서울하늘숲유치원 1
 
2.8%
동정성모유치원 1
 
2.8%
바니유치원 1
 
2.8%
꿀벌유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T20:48:58.250100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
18 
공립(병설)
12 
사립(법인)
4 
공립(단설)
2 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 18
50.0%
공립(병설) 12
33.3%
사립(법인) 4
 
11.1%
공립(단설) 2
 
5.6%

Length

2024-03-13T20:48:58.421723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:58.550095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 18
50.0%
공립(병설 12
33.3%
사립(법인 4
 
11.1%
공립(단설 2
 
5.6%

차량운영여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
22 
False
14 
ValueCountFrequency (%)
True 22
61.1%
False 14
38.9%
2024-03-13T20:48:58.707439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운행차량수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
14 
1
13 
2
5 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 14
38.9%
1 13
36.1%
2 5
 
13.9%
3 3
 
8.3%
4 1
 
2.8%

Length

2024-03-13T20:48:58.872835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:59.018011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
38.9%
1 13
36.1%
2 5
 
13.9%
3 3
 
8.3%
4 1
 
2.8%

신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum0
Maximum19
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T20:48:59.151890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.25
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1847853
Coefficient of variation (CV)2.1231902
Kurtosis27.688725
Mean1.5
Median Absolute Deviation (MAD)1
Skewness4.9981845
Sum54
Variance10.142857
MonotonicityNot monotonic
2024-03-13T20:48:59.264858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
38.9%
1 12
33.3%
2 5
 
13.9%
3 3
 
8.3%
4 1
 
2.8%
19 1
 
2.8%
ValueCountFrequency (%)
0 14
38.9%
1 12
33.3%
2 5
 
13.9%
3 3
 
8.3%
4 1
 
2.8%
19 1
 
2.8%
ValueCountFrequency (%)
19 1
 
2.8%
4 1
 
2.8%
3 3
 
8.3%
2 5
 
13.9%
1 12
33.3%
0 14
38.9%

9인승신고차량수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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
100.0%

Length

2024-03-13T20:48:59.460753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:59.604327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

12인승신고차량수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
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 33
91.7%
1 3
 
8.3%

Length

2024-03-13T20:48:59.706419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:48:59.858559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

15인승신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4166667
Minimum0
Maximum19
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T20:48:59.971646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.25
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1926254
Coefficient of variation (CV)2.253618
Kurtosis27.971914
Mean1.4166667
Median Absolute Deviation (MAD)1
Skewness5.0353196
Sum51
Variance10.192857
MonotonicityNot monotonic
2024-03-13T20:49:00.135623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
44.4%
1 10
27.8%
2 6
 
16.7%
3 2
 
5.6%
4 1
 
2.8%
19 1
 
2.8%
ValueCountFrequency (%)
0 16
44.4%
1 10
27.8%
2 6
 
16.7%
3 2
 
5.6%
4 1
 
2.8%
19 1
 
2.8%
ValueCountFrequency (%)
19 1
 
2.8%
4 1
 
2.8%
3 2
 
5.6%
2 6
 
16.7%
1 10
27.8%
0 16
44.4%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
30 
20192
4 
20222
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row20192
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

Length

2024-03-13T20:49:00.287466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:00.412311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T20:49:00.633905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.305556
Min length15

Characters and Unicode

Total characters659
Distinct characters49
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 고척로25길 62
2nd row서울특별시 구로구 경인로 382
3rd row서울특별시 구로구 개봉로18길 37
4th row서울특별시 구로구 고척로33길 34
5th row서울특별시 구로구 개봉로16길 30-11
ValueCountFrequency (%)
서울특별시 36
25.0%
구로구 36
25.0%
고척로 3
 
2.1%
11 3
 
2.1%
6 2
 
1.4%
도림로 2
 
1.4%
개봉로18길 2
 
1.4%
신도림로 2
 
1.4%
22 2
 
1.4%
오류로8길 2
 
1.4%
Other values (53) 54
37.5%
2024-03-13T20:49:01.188498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.4%
구 76
11.5%
로 73
11.1%
서 39
 
5.9%
특 36
 
5.5%
별 36
 
5.5%
시 36
 
5.5%
울 36
 
5.5%
1 29
 
4.4%
길 22
 
3.3%
Other values (39) 168
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
64.9%
Decimal Number 119
 
18.1%
Space Separator 108
 
16.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Decimal Number
ValueCountFrequency (%)
1 29
24.4%
2 21
17.6%
3 11
 
9.2%
6 10
 
8.4%
7 10
 
8.4%
5 9
 
7.6%
8 9
 
7.6%
0 8
 
6.7%
4 8
 
6.7%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
64.9%
Common 231
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Common
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
64.9%
ASCII 231
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%

Interactions

2024-03-13T20:48:55.766910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:55.523741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:55.903827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:48:55.644091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:49:01.304375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형차량운영여부운행차량수신고차량수12인승신고차량수15인승신고차량수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0001.0000.6680.6830.0000.6830.0001.000
차량운영여부1.0001.0001.0001.0001.0000.6070.0000.6070.3281.000
운행차량수1.0001.0000.6681.0001.0000.8300.1530.8300.0001.000
신고차량수1.0001.0000.6830.6070.8301.0000.0001.0000.0001.000
12인승신고차량수1.0001.0000.0000.0000.1530.0001.0000.0000.0001.000
15인승신고차량수1.0001.0000.6830.6070.8301.0000.0001.0000.0001.000
공시차수1.0001.0000.0000.3280.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T20:49:01.467295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수차량운영여부설립유형운행차량수12인승신고차량수
공시차수1.0000.2070.0000.0000.000
차량운영여부0.2071.0000.9700.9550.000
설립유형0.0000.9701.0000.5890.000
운행차량수0.0000.9550.5891.0000.169
12인승신고차량수0.0000.0000.0000.1691.000
2024-03-13T20:49:01.616009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고차량수15인승신고차량수설립유형차량운영여부운행차량수12인승신고차량수공시차수
신고차량수1.0000.9530.3260.4050.7870.0000.000
15인승신고차량수0.9531.0000.3260.4050.7870.0000.000
설립유형0.3260.3261.0000.9700.5890.0000.000
차량운영여부0.4050.4050.9701.0000.9550.0000.207
운행차량수0.7870.7870.5890.9551.0000.1690.000
12인승신고차량수0.0000.0000.0000.0000.1691.0000.000
공시차수0.0000.0000.0000.2070.0000.0001.000

Missing values

2024-03-13T20:48:56.083956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:48:56.307691image/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
0서울특별시교육청남부교육지원청1ecec08c-ed2f-b044-e053-0a32095ab044서울아람유치원사립(사인)Y2200220192서울특별시 구로구 고척로25길 62
1서울특별시교육청남부교육지원청1ecec08c-eecb-b044-e053-0a32095ab044정훈유치원사립(사인)Y1100120232서울특별시 구로구 경인로 382
2서울특별시교육청남부교육지원청1ecec08c-efa0-b044-e053-0a32095ab044미림유치원사립(사인)Y1100120232서울특별시 구로구 개봉로18길 37
3서울특별시교육청남부교육지원청1ecec08c-f052-b044-e053-0a32095ab044서울세곡초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 고척로33길 34
4서울특별시교육청남부교육지원청1ecec08c-f1b3-b044-e053-0a32095ab044서울개봉초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 개봉로16길 30-11
5서울특별시교육청남부교육지원청1ecec08c-f1b4-b044-e053-0a32095ab044서울영서초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 도림로20길 57
6서울특별시교육청남부교육지원청1ecec08c-f321-b044-e053-0a32095ab044나비유치원사립(사인)Y1100120222서울특별시 구로구 고척로 30
7서울특별시교육청남부교육지원청1ecec08c-f32a-b044-e053-0a32095ab044준희유치원사립(사인)Y1101020192서울특별시 구로구 경인로19길 8
8서울특별시교육청남부교육지원청1ecec08c-f3e4-b044-e053-0a32095ab044새두산유치원사립(사인)Y2200220232서울특별시 구로구 도림로 59
9서울특별시교육청남부교육지원청1ecec08c-f3f7-b044-e053-0a32095ab044세희유치원사립(사인)Y2200220232서울특별시 구로구 도림로 107
교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
26서울특별시교육청남부교육지원청1ecec08d-0630-b044-e053-0a32095ab044푸른동산유치원사립(사인)Y3300320232서울특별시 구로구 서해안로 2201
27서울특별시교육청남부교육지원청1ecec08d-08be-b044-e053-0a32095ab044꿀벌유치원사립(법인)Y1100120232서울특별시 구로구 디지털로27다길 15
28서울특별시교육청남부교육지원청1ecec08d-08c9-b044-e053-0a32095ab044일신유치원사립(사인)Y1100120192서울특별시 구로구 오류로8길 22
29서울특별시교육청남부교육지원청1ecec08d-099f-b044-e053-0a32095ab044버들유치원사립(사인)Y1100120192서울특별시 구로구 오류로8길 40
30서울특별시교육청남부교육지원청1ecec08d-0e01-b044-e053-0a32095ab044동아유치원사립(사인)Y2200220232서울특별시 구로구 신도림로 87
31서울특별시교육청남부교육지원청1ecec08d-0e10-b044-e053-0a32095ab044신도유치원사립(사인)Y1100120232서울특별시 구로구 구일로2길 45
32서울특별시교육청남부교육지원청1ecec08d-0f6d-b044-e053-0a32095ab044서울신미림초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 신도림로 26
33서울특별시교육청남부교육지원청2e5397a8-bcbc-4691-accf-e2e60e8c5cfe서울고산초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 중앙로 6
34서울특별시교육청남부교육지원청89ed1bdc-67a2-4124-a077-bc925d6a901a서울항동유치원공립(단설)N0000020232서울특별시 구로구 연동로8길 15
35서울특별시교육청남부교육지원청dd6206b2-a72a-4bdd-992a-3922a54bdb4b서울오류남초등학교병설유치원공립(병설)N0000020232서울특별시 구로구 서해안로24길 22