Overview

Dataset statistics

Number of variables13
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory114.1 B

Variable types

Categorical6
Text3
Boolean1
Numeric3

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,차량운영여부,운행차량수,신고차량수,9인승신고차량수,12인승신고차량수,15인승신고차량수,공시차수,주소
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20732/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 운행차량수 and 3 other fieldsHigh correlation
설립유형 is highly overall correlated with 운행차량수 and 3 other fieldsHigh correlation
운행차량수 is highly overall correlated with 신고차량수 and 4 other fieldsHigh correlation
신고차량수 is highly overall correlated with 운행차량수 and 4 other fieldsHigh correlation
15인승신고차량수 is highly overall correlated with 운행차량수 and 4 other fieldsHigh correlation
공시차수 is highly overall correlated with 운행차량수 and 2 other fieldsHigh correlation
12인승신고차량수 is highly imbalanced (66.3%)Imbalance
공시차수 is highly imbalanced (63.4%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
운행차량수 has 14 (43.8%) zerosZeros
신고차량수 has 14 (43.8%) zerosZeros
15인승신고차량수 has 15 (46.9%) zerosZeros

Reproduction

Analysis started2024-03-13 17:40:11.196574
Analysis finished2024-03-13 17:40:12.282291
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울특별시교육청
32 

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 32
100.0%

Length

2024-03-14T02:40:12.331477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:12.399091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 32
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
성동광진교육지원청
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

Length

2024-03-14T02:40:12.474449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:12.552335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

유치원코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-14T02:40:12.712684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1152
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

Unique32 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-f424-b044-e053-0a32095ab044
3rd row1ecec08c-f507-b044-e053-0a32095ab044
4th row1ecec08c-f526-b044-e053-0a32095ab044
5th row1ecec08c-f8d0-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed19-b044-e053-0a32095ab044 1
 
3.1%
1ecec08c-f424-b044-e053-0a32095ab044 1
 
3.1%
c86bfe33-312b-465b-ae84-67bdc4e80ab3 1
 
3.1%
907fd160-25a1-4048-8de4-27e545ebd656 1
 
3.1%
442ef88e-43d6-4048-a12d-ed742301b58a 1
 
3.1%
1ecec08d-0f50-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f39-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f38-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e81-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e4c-b044-e053-0a32095ab044 1
 
3.1%
Other values (22) 22
68.8%
2024-03-14T02:40:13.007706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
57.3%
Lowercase Letter 364
31.6%
Dash Punctuation 128
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
30.8%
4 135
20.5%
3 71
 
10.8%
5 70
 
10.6%
8 46
 
7.0%
2 41
 
6.2%
1 40
 
6.1%
9 36
 
5.5%
6 10
 
1.5%
7 8
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
68.4%
Latin 364
31.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
25.8%
4 135
17.1%
- 128
16.2%
3 71
 
9.0%
5 70
 
8.9%
8 46
 
5.8%
2 41
 
5.2%
1 40
 
5.1%
9 36
 
4.6%
6 10
 
1.3%
Latin
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

유치원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-14T02:40:13.191843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.71875
Min length4

Characters and Unicode

Total characters279
Distinct characters60
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울마장초등학교병설유치원
2nd row아이들세상유치원
3rd row경동유치원
4th row송곡유치원
5th row성심유치원
ValueCountFrequency (%)
서울마장초등학교병설유치원 1
 
3.1%
아이들세상유치원 1
 
3.1%
서울경일초등학교병설유치원 1
 
3.1%
서울금호초등학교병설유치원 1
 
3.1%
서울동명초등학교병설유치원 1
 
3.1%
로사유치원 1
 
3.1%
서울옥정초등학교병설유치원 1
 
3.1%
서울사근초등학교병설유치원 1
 
3.1%
서울숭신초등학교병설유치원 1
 
3.1%
조은유치원 1
 
3.1%
Other values (22) 22
68.8%
2024-03-14T02:40:13.457366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
5 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
40.6%
사립(사인) 13
40.6%
사립(법인) 5
 
15.6%
공립(단설) 1
 
3.1%

Length

2024-03-14T02:40:13.559973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:13.634590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
40.6%
사립(사인 13
40.6%
사립(법인 5
 
15.6%
공립(단설 1
 
3.1%

차량운영여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
18 
False
14 
ValueCountFrequency (%)
True 18
56.2%
False 14
43.8%
2024-03-14T02:40:13.712941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운행차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.125
Minimum0
Maximum5
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-14T02:40:13.792392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.25
95-th percentile4.45
Maximum5
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.4535829
Coefficient of variation (CV)1.2920737
Kurtosis1.669283
Mean1.125
Median Absolute Deviation (MAD)1
Skewness1.5166525
Sum36
Variance2.1129032
MonotonicityNot monotonic
2024-03-14T02:40:13.873073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
43.8%
1 10
31.2%
2 3
 
9.4%
5 2
 
6.2%
3 2
 
6.2%
4 1
 
3.1%
ValueCountFrequency (%)
0 14
43.8%
1 10
31.2%
2 3
 
9.4%
3 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
ValueCountFrequency (%)
5 2
 
6.2%
4 1
 
3.1%
3 2
 
6.2%
2 3
 
9.4%
1 10
31.2%
0 14
43.8%

신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.125
Minimum0
Maximum5
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-14T02:40:13.952081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.25
95-th percentile4.45
Maximum5
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.4535829
Coefficient of variation (CV)1.2920737
Kurtosis1.669283
Mean1.125
Median Absolute Deviation (MAD)1
Skewness1.5166525
Sum36
Variance2.1129032
MonotonicityNot monotonic
2024-03-14T02:40:14.310564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
43.8%
1 10
31.2%
2 3
 
9.4%
5 2
 
6.2%
3 2
 
6.2%
4 1
 
3.1%
ValueCountFrequency (%)
0 14
43.8%
1 10
31.2%
2 3
 
9.4%
3 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
ValueCountFrequency (%)
5 2
 
6.2%
4 1
 
3.1%
3 2
 
6.2%
2 3
 
9.4%
1 10
31.2%
0 14
43.8%

9인승신고차량수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
32 

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 32
100.0%

Length

2024-03-14T02:40:14.396072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:14.468575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

12인승신고차량수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
30 
1
 
2

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 30
93.8%
1 2
 
6.2%

Length

2024-03-14T02:40:14.539675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:14.612916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
93.8%
1 2
 
6.2%

15인승신고차량수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum0
Maximum5
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-14T02:40:14.677210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.45
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.457738
Coefficient of variation (CV)1.3719887
Kurtosis1.9238354
Mean1.0625
Median Absolute Deviation (MAD)1
Skewness1.6177491
Sum34
Variance2.125
MonotonicityNot monotonic
2024-03-14T02:40:14.775632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
46.9%
1 10
31.2%
5 2
 
6.2%
3 2
 
6.2%
2 2
 
6.2%
4 1
 
3.1%
ValueCountFrequency (%)
0 15
46.9%
1 10
31.2%
2 2
 
6.2%
3 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
ValueCountFrequency (%)
5 2
 
6.2%
4 1
 
3.1%
3 2
 
6.2%
2 2
 
6.2%
1 10
31.2%
0 15
46.9%

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
20232
28 
20192
 
2
20202
 
1
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

Length

2024-03-14T02:40:14.876764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:40:14.956706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-14T02:40:15.118072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.03125
Min length16

Characters and Unicode

Total characters577
Distinct characters55
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 독서당로 272
3rd row서울특별시 성동구 금호로 100
4th row서울특별시 성동구 무학로6길 41
5th row서울특별시 성동구 무학로10길 21
ValueCountFrequency (%)
서울특별시 32
25.0%
성동구 32
25.0%
독서당로 4
 
3.1%
21 4
 
3.1%
살곶이길 2
 
1.6%
50 2
 
1.6%
35 2
 
1.6%
마장로 1
 
0.8%
무학로 1
 
0.8%
금호로1길 1
 
0.8%
Other values (47) 47
36.7%
2024-03-14T02:40:15.408458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.6%
서 37
 
6.4%
성 34
 
5.9%
동 34
 
5.9%
특 32
 
5.5%
별 32
 
5.5%
시 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
길 22
 
3.8%
Other values (45) 194
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
66.4%
Decimal Number 98
 
17.0%
Space Separator 96
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 20
20.4%
3 12
12.2%
4 9
9.2%
5 9
9.2%
0 8
 
8.2%
9 7
 
7.1%
6 6
 
6.1%
7 4
 
4.1%
8 1
 
1.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
66.4%
Common 194
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Common
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
66.4%
ASCII 194
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%
Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%

Interactions

2024-03-14T02:40:11.873003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.519243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.699194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.944475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.576309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.757024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:12.013867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.636073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:40:11.814931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T02:40:15.485776image/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
설립유형1.0001.0001.0001.0000.7170.7170.0000.6940.2951.000
차량운영여부1.0001.0001.0001.0001.0001.0000.0000.9930.2091.000
운행차량수1.0001.0000.7171.0001.0001.0000.1370.9980.8211.000
신고차량수1.0001.0000.7171.0001.0001.0000.1370.9980.8211.000
12인승신고차량수1.0001.0000.0000.0000.1370.1371.0000.0000.0001.000
15인승신고차량수1.0001.0000.6940.9930.9980.9980.0001.0000.8211.000
공시차수1.0001.0000.2950.2090.8210.8210.0000.8211.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T02:40:15.597127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수차량운영여부설립유형12인승신고차량수
공시차수1.0000.1220.1040.000
차량운영여부0.1221.0000.9660.000
설립유형0.1040.9661.0000.000
12인승신고차량수0.0000.0000.0001.000
2024-03-14T02:40:15.673113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운행차량수신고차량수15인승신고차량수설립유형차량운영여부12인승신고차량수공시차수
운행차량수1.0001.0000.9630.5260.9310.0570.649
신고차량수1.0001.0000.9630.5260.9310.0570.649
15인승신고차량수0.9630.9631.0000.5010.8630.0000.649
설립유형0.5260.5260.5011.0000.9660.0000.104
차량운영여부0.9310.9310.8630.9661.0000.0000.122
12인승신고차량수0.0570.0570.0000.0000.0001.0000.000
공시차수0.6490.6490.6490.1040.1220.0001.000

Missing values

2024-03-14T02:40:12.107111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:40:12.233104image/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
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)Y5500520232서울특별시 성동구 독서당로 272
2서울특별시교육청성동광진교육지원청1ecec08c-f507-b044-e053-0a32095ab044경동유치원사립(사인)Y3300320232서울특별시 성동구 금호로 100
3서울특별시교육청성동광진교육지원청1ecec08c-f526-b044-e053-0a32095ab044송곡유치원사립(법인)Y4400420202서울특별시 성동구 무학로6길 41
4서울특별시교육청성동광진교육지원청1ecec08c-f8d0-b044-e053-0a32095ab044성심유치원사립(법인)Y1100120232서울특별시 성동구 무학로10길 21
5서울특별시교육청성동광진교육지원청1ecec08c-fe09-b044-e053-0a32095ab044옥수삼성유치원사립(사인)Y1100120232서울특별시 성동구 독서당로 218
6서울특별시교육청성동광진교육지원청1ecec08d-00be-b044-e053-0a32095ab044세성유치원사립(사인)Y1100120232서울특별시 성동구 독서당로 434
7서울특별시교육청성동광진교육지원청1ecec08d-01d5-b044-e053-0a32095ab044서울용답초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 용답25길 1
8서울특별시교육청성동광진교육지원청1ecec08d-029d-b044-e053-0a32095ab044서울송원초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 동일로43길 9
9서울특별시교육청성동광진교육지원청1ecec08d-02a8-b044-e053-0a32095ab044율화유치원사립(사인)Y1100120232서울특별시 성동구 고산자로2길 35
교육청명교육지원청명유치원코드유치원명설립유형차량운영여부운행차량수신고차량수9인승신고차량수12인승신고차량수15인승신고차량수공시차수주소
22서울특별시교육청성동광진교육지원청1ecec08d-0e4b-b044-e053-0a32095ab044옥수예일유치원사립(사인)Y3300320232서울특별시 성동구 독서당로 191
23서울특별시교육청성동광진교육지원청1ecec08d-0e4c-b044-e053-0a32095ab044조은유치원사립(사인)Y2201120232서울특별시 성동구 살곶이길 50
24서울특별시교육청성동광진교육지원청1ecec08d-0e81-b044-e053-0a32095ab044서울숭신초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 마장로 161
25서울특별시교육청성동광진교육지원청1ecec08d-0f38-b044-e053-0a32095ab044서울사근초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 사근동11길 16
26서울특별시교육청성동광진교육지원청1ecec08d-0f39-b044-e053-0a32095ab044서울옥정초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 한림말길 43
27서울특별시교육청성동광진교육지원청1ecec08d-0f50-b044-e053-0a32095ab044로사유치원사립(법인)Y1100120232서울특별시 성동구 성덕정길 23
28서울특별시교육청성동광진교육지원청442ef88e-43d6-4048-a12d-ed742301b58a서울동명초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 마장로29길 29
29서울특별시교육청성동광진교육지원청907fd160-25a1-4048-8de4-27e545ebd656서울금호초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 무수막길 69
30서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 뚝섬로 332
31서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)N0000020232서울특별시 성동구 무학봉15길 21