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

Categorical6
Text3
Boolean1
Numeric3

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,차량운영여부,운행차량수,신고차량수,9인승신고차량수,12인승신고차량수,15인승신고차량수,공시차수,주소
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20738/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
운행차량수 is highly overall correlated with 신고차량수 and 3 other fieldsHigh correlation
신고차량수 is highly overall correlated with 운행차량수 and 3 other fieldsHigh correlation
15인승신고차량수 is highly overall correlated with 운행차량수 and 3 other fieldsHigh correlation
설립유형 is highly overall correlated with 운행차량수 and 3 other fieldsHigh correlation
차량운영여부 is highly overall correlated with 운행차량수 and 3 other fieldsHigh correlation
9인승신고차량수 is highly overall correlated with 공시차수High correlation
공시차수 is highly overall correlated with 9인승신고차량수High correlation
9인승신고차량수 is highly imbalanced (81.7%)Imbalance
12인승신고차량수 is highly imbalanced (62.6%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
운행차량수 has 13 (36.1%) zerosZeros
신고차량수 has 13 (36.1%) zerosZeros
15인승신고차량수 has 14 (38.9%) zerosZeros

Reproduction

Analysis started2024-03-13 07:13:52.962447
Analysis finished2024-03-13 07:13:54.316751
Duration1.35 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

2024-03-13T16:13:54.371579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:54.455463image/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
북부교육지원청
36 

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 36
100.0%

Length

2024-03-13T16:13:54.540890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:54.622259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:13:54.790731image/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 row12c109c2-23b7-4e98-a3e1-57e391f3a55a
2nd row1ecec08c-ed87-b044-e053-0a32095ab044
3rd row1ecec08c-ee11-b044-e053-0a32095ab044
4th row1ecec08c-eecf-b044-e053-0a32095ab044
5th row1ecec08c-eed0-b044-e053-0a32095ab044
ValueCountFrequency (%)
12c109c2-23b7-4e98-a3e1-57e391f3a55a 1
 
2.8%
1ecec08c-ed87-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e2d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08cf-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-09d1-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0b9f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0ba6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0d3d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e36-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:13:55.087744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
55.6%
Lowercase Letter 431
33.3%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
27.9%
4 142
19.7%
3 76
 
10.5%
5 74
 
10.3%
1 53
 
7.4%
8 51
 
7.1%
9 48
 
6.7%
2 47
 
6.5%
6 15
 
2.1%
7 14
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
66.7%
Latin 431
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
23.2%
- 144
16.6%
4 142
16.4%
3 76
 
8.8%
5 74
 
8.6%
1 53
 
6.1%
8 51
 
5.9%
9 48
 
5.5%
2 47
 
5.4%
6 15
 
1.7%
Latin
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:13:55.291635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.4444444
Min length5

Characters and Unicode

Total characters268
Distinct characters70
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 row서울월천초등학교병설유치원
2nd row햇살유치원
3rd row행복한유치원
4th row선희유치원
5th row슬기유치원
ValueCountFrequency (%)
서울월천초등학교병설유치원 1
 
2.8%
햇살유치원 1
 
2.8%
나래유치원 1
 
2.8%
한사랑유치원 1
 
2.8%
솔샘유치원 1
 
2.8%
유화유치원 1
 
2.8%
서울신창초등학교병설유치원 1
 
2.8%
예그린유치원 1
 
2.8%
신창유치원 1
 
2.8%
지현유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:13:55.618189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
22 
공립(병설)
9 
사립(법인)
3 
공립(단설)
 
2

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) 22
61.1%
공립(병설) 9
25.0%
사립(법인) 3
 
8.3%
공립(단설) 2
 
5.6%

Length

2024-03-13T16:13:55.764892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:55.878406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 22
61.1%
공립(병설 9
25.0%
사립(법인 3
 
8.3%
공립(단설 2
 
5.6%

차량운영여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
23 
False
13 
ValueCountFrequency (%)
True 23
63.9%
False 13
36.1%
2024-03-13T16:13:55.972348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운행차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2222222
Minimum0
Maximum6
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:13:56.050376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.25
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3545924
Coefficient of variation (CV)1.1083029
Kurtosis3.1940324
Mean1.2222222
Median Absolute Deviation (MAD)1
Skewness1.5431745
Sum44
Variance1.8349206
MonotonicityNot monotonic
2024-03-13T16:13:56.373415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 13
36.1%
1 11
30.6%
2 7
19.4%
3 3
 
8.3%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
0 13
36.1%
1 11
30.6%
2 7
19.4%
3 3
 
8.3%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
6 1
 
2.8%
4 1
 
2.8%
3 3
 
8.3%
2 7
19.4%
1 11
30.6%
0 13
36.1%

신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum0
Maximum6
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:13:56.452689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.25
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3809934
Coefficient of variation (CV)1.1047947
Kurtosis2.669233
Mean1.25
Median Absolute Deviation (MAD)1
Skewness1.451583
Sum45
Variance1.9071429
MonotonicityNot monotonic
2024-03-13T16:13:56.538008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 13
36.1%
1 11
30.6%
2 6
16.7%
3 4
 
11.1%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
0 13
36.1%
1 11
30.6%
2 6
16.7%
3 4
 
11.1%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
6 1
 
2.8%
4 1
 
2.8%
3 4
 
11.1%
2 6
16.7%
1 11
30.6%
0 13
36.1%

9인승신고차량수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2024-03-13T16:13:56.636946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:56.717088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

12인승신고차량수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
2 1
 
2.8%

Length

2024-03-13T16:13:56.800089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:56.884331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
2 1
 
2.8%

15인승신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0833333
Minimum0
Maximum6
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:13:56.963448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.25
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2955969
Coefficient of variation (CV)1.1959356
Kurtosis5.0846053
Mean1.0833333
Median Absolute Deviation (MAD)1
Skewness1.9237198
Sum39
Variance1.6785714
MonotonicityNot monotonic
2024-03-13T16:13:57.052754image/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 7
19.4%
4 1
 
2.8%
6 1
 
2.8%
3 1
 
2.8%
ValueCountFrequency (%)
0 14
38.9%
1 12
33.3%
2 7
19.4%
3 1
 
2.8%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
6 1
 
2.8%
4 1
 
2.8%
3 1
 
2.8%
2 7
19.4%
1 12
33.3%
0 14
38.9%

공시차수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
28 
20182
5 
20192
 
2
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

Length

2024-03-13T16:13:57.158017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:13:57.245550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:13:57.417136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.805556
Min length17

Characters and Unicode

Total characters677
Distinct characters43
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

Unique32 ?
Unique (%)88.9%

Sample

1st row서울특별시 도봉구 노해로70길 96
2nd row서울특별시 도봉구 우이천로32길 38
3rd row서울특별시 도봉구 시루봉로6길 86
4th row서울특별시 도봉구 해등로 241
5th row서울특별시 도봉구 도봉로180나길 33-29
ValueCountFrequency (%)
서울특별시 36
25.0%
도봉구 36
25.0%
해등로 5
 
3.5%
마들로 4
 
2.8%
96 2
 
1.4%
101 2
 
1.4%
시루봉로 2
 
1.4%
노해로 2
 
1.4%
567 2
 
1.4%
도당로6길 2
 
1.4%
Other values (50) 51
35.4%
2024-03-13T16:13:57.731737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.0%
봉 43
 
6.4%
도 42
 
6.2%
시 39
 
5.8%
서 36
 
5.3%
구 36
 
5.3%
울 36
 
5.3%
별 36
 
5.3%
특 36
 
5.3%
로 35
 
5.2%
Other values (33) 230
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
62.8%
Decimal Number 137
 
20.2%
Space Separator 108
 
16.0%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Decimal Number
ValueCountFrequency (%)
1 28
20.4%
6 21
15.3%
3 15
10.9%
2 14
10.2%
9 13
9.5%
4 12
8.8%
7 11
 
8.0%
0 10
 
7.3%
8 7
 
5.1%
5 6
 
4.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
62.8%
Common 252
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Common
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
62.8%
ASCII 252
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%
Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%

Interactions

2024-03-13T16:13:53.855619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.368698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.612551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.928446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.455921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.687173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.997234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.544138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:13:53.766241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T16:13:57.842007image/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
설립유형1.0001.0001.0000.9840.7090.7220.0000.0000.7740.0000.000
차량운영여부1.0001.0000.9841.0001.0001.0000.0000.0760.9940.4340.000
운행차량수1.0001.0000.7091.0001.0000.9990.6200.6130.9860.6480.275
신고차량수1.0001.0000.7221.0000.9991.0000.4480.3980.9890.5660.766
9인승신고차량수1.0001.0000.0000.0000.6200.4481.0000.0000.0000.8620.000
12인승신고차량수1.0001.0000.0000.0760.6130.3980.0001.0000.0000.0980.000
15인승신고차량수1.0001.0000.7740.9940.9860.9890.0000.0001.0000.2800.914
공시차수1.0001.0000.0000.4340.6480.5660.8620.0980.2801.0000.000
주소1.0001.0000.0000.0000.2750.7660.0000.0000.9140.0001.000
2024-03-13T16:13:58.000830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수차량운영여부9인승신고차량수설립유형12인승신고차량수
공시차수1.0000.2790.6420.0000.076
차량운영여부0.2791.0000.0000.8600.118
9인승신고차량수0.6420.0001.0000.0000.000
설립유형0.0000.8600.0001.0000.000
12인승신고차량수0.0760.1180.0000.0001.000
2024-03-13T16:13:58.107585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운행차량수신고차량수15인승신고차량수설립유형차량운영여부9인승신고차량수12인승신고차량수공시차수
운행차량수1.0000.9970.9370.5210.9390.4200.2920.458
신고차량수0.9971.0000.9440.5350.9390.2970.1590.383
15인승신고차량수0.9370.9441.0000.5950.8760.0000.0000.166
설립유형0.5210.5350.5951.0000.8600.0000.0000.000
차량운영여부0.9390.9390.8760.8601.0000.0000.1180.279
9인승신고차량수0.4200.2970.0000.0000.0001.0000.0000.642
12인승신고차량수0.2920.1590.0000.0000.1180.0001.0000.076
공시차수0.4580.3830.1660.0000.2790.6420.0761.000

Missing values

2024-03-13T16:13:54.112551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:13:54.257910image/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
0서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 노해로70길 96
1서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)Y2200220232서울특별시 도봉구 우이천로32길 38
2서울특별시교육청북부교육지원청1ecec08c-ee11-b044-e053-0a32095ab044행복한유치원사립(사인)Y1100120232서울특별시 도봉구 시루봉로6길 86
3서울특별시교육청북부교육지원청1ecec08c-eecf-b044-e053-0a32095ab044선희유치원사립(사인)Y1100120232서울특별시 도봉구 해등로 241
4서울특별시교육청북부교육지원청1ecec08c-eed0-b044-e053-0a32095ab044슬기유치원사립(사인)Y2200220232서울특별시 도봉구 도봉로180나길 33-29
5서울특별시교육청북부교육지원청1ecec08c-efcc-b044-e053-0a32095ab044보나유치원사립(사인)Y2201120232서울특별시 도봉구 해등로 307
6서울특별시교육청북부교육지원청1ecec08c-efd9-b044-e053-0a32095ab044정의유치원사립(법인)Y4400420232서울특별시 도봉구 노해로49길 69
7서울특별시교육청북부교육지원청1ecec08c-efda-b044-e053-0a32095ab044청아유치원사립(사인)Y1100120232서울특별시 도봉구 노해로69가길 11
8서울특별시교육청북부교육지원청1ecec08c-f050-b044-e053-0a32095ab044예랑유치원사립(사인)Y1100120212서울특별시 도봉구 해등로4길 9
9서울특별시교육청북부교육지원청1ecec08c-f404-b044-e053-0a32095ab044다솜유치원사립(사인)Y6600620182서울특별시 도봉구 해등로 195
교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
26서울특별시교육청북부교육지원청1ecec08d-0e2d-b044-e053-0a32095ab044나래유치원사립(사인)Y1100120232서울특별시 도봉구 마들로 684-9
27서울특별시교육청북부교육지원청1ecec08d-0e36-b044-e053-0a32095ab044지현유치원사립(사인)Y1100120182서울특별시 도봉구 도봉산3길 21
28서울특별시교육청북부교육지원청1ecec08d-0ec5-b044-e053-0a32095ab044자연아이유치원사립(사인)Y3301220192서울특별시 도봉구 도당로6길 14-11
29서울특별시교육청북부교육지원청6a9d51ce-eb32-4ff3-b2c8-16baa768c7ed서울신학초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 방학로 247-21
30서울특별시교육청북부교육지원청78c914ee-918a-42da-bb74-3214158a262e서울쌍문초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 우이천로 360
31서울특별시교육청북부교육지원청86a6794b-12d6-4ee1-b47c-f03260e69af8서울가인초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 도봉로136다길 4
32서울특별시교육청북부교육지원청90accaf4-0b0f-42a0-bf14-dabb5c82db9f서울방학유치원공립(단설)N0000020232서울특별시 도봉구 도당로6길 14-11
33서울특별시교육청북부교육지원청9274b95a-f964-4434-aa72-f188312b1983서울오봉초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 시루봉로 285
34서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)N0000020232서울특별시 도봉구 마들로 567
35서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)N0000020232서울특별시 도봉구 노해로 179