Overview

Dataset statistics

Number of variables12
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory105.4 B

Variable types

Categorical5
Text3
Numeric4

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20774/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (52.5%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
1년미만교사수 has 12 (30.8%) zerosZeros
1년이상2년미만교사수 has 24 (61.5%) zerosZeros
2년이상4년미만교사수 has 7 (17.9%) zerosZeros
4년이상6년미만교사수 has 21 (53.8%) zerosZeros

Reproduction

Analysis started2024-03-13 13:30:54.386039
Analysis finished2024-03-13 13:30:56.855733
Duration2.47 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

2024-03-13T22:30:56.923029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:30:57.017951image/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

2024-03-13T22:30:57.114640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:30:57.206447image/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
2024-03-13T22:30:57.396248image/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%
2024-03-13T22:30:57.758304image/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
2024-03-13T22:30:58.019259image/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%
2024-03-13T22:30:58.402653image/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

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

2024-03-13T22:30:58.535387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:30:58.632988image/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%

1년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8461538
Minimum0
Maximum10
Zeros12
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T22:30:58.746169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3679712
Coefficient of variation (CV)1.282651
Kurtosis4.1471976
Mean1.8461538
Median Absolute Deviation (MAD)1
Skewness1.9856167
Sum72
Variance5.6072874
MonotonicityNot monotonic
2024-03-13T22:30:58.846515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
33.3%
0 12
30.8%
2 5
 
12.8%
5 3
 
7.7%
4 3
 
7.7%
3 1
 
2.6%
10 1
 
2.6%
9 1
 
2.6%
ValueCountFrequency (%)
0 12
30.8%
1 13
33.3%
2 5
 
12.8%
3 1
 
2.6%
4 3
 
7.7%
5 3
 
7.7%
9 1
 
2.6%
10 1
 
2.6%
ValueCountFrequency (%)
10 1
 
2.6%
9 1
 
2.6%
5 3
 
7.7%
4 3
 
7.7%
3 1
 
2.6%
2 5
 
12.8%
1 13
33.3%
0 12
30.8%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8974359
Minimum0
Maximum5
Zeros24
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T22:30:58.982946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.3916078
Coefficient of variation (CV)1.5506487
Kurtosis1.2570717
Mean0.8974359
Median Absolute Deviation (MAD)0
Skewness1.4891981
Sum35
Variance1.9365722
MonotonicityNot monotonic
2024-03-13T22:30:59.124266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
61.5%
1 5
 
12.8%
2 4
 
10.3%
3 3
 
7.7%
4 2
 
5.1%
5 1
 
2.6%
ValueCountFrequency (%)
0 24
61.5%
1 5
 
12.8%
2 4
 
10.3%
3 3
 
7.7%
4 2
 
5.1%
5 1
 
2.6%
ValueCountFrequency (%)
5 1
 
2.6%
4 2
 
5.1%
3 3
 
7.7%
2 4
 
10.3%
1 5
 
12.8%
0 24
61.5%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8974359
Minimum0
Maximum8
Zeros7
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T22:30:59.225896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile5.1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7591097
Coefficient of variation (CV)0.92709836
Kurtosis3.1188934
Mean1.8974359
Median Absolute Deviation (MAD)1
Skewness1.6011766
Sum74
Variance3.0944669
MonotonicityNot monotonic
2024-03-13T22:30:59.337542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 12
30.8%
2 11
28.2%
0 7
17.9%
3 4
 
10.3%
5 2
 
5.1%
6 1
 
2.6%
4 1
 
2.6%
8 1
 
2.6%
ValueCountFrequency (%)
0 7
17.9%
1 12
30.8%
2 11
28.2%
3 4
 
10.3%
4 1
 
2.6%
5 2
 
5.1%
6 1
 
2.6%
8 1
 
2.6%
ValueCountFrequency (%)
8 1
 
2.6%
6 1
 
2.6%
5 2
 
5.1%
4 1
 
2.6%
3 4
 
10.3%
2 11
28.2%
1 12
30.8%
0 7
17.9%

4년이상6년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1025641
Minimum0
Maximum7
Zeros21
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T22:30:59.445637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile4.1
Maximum7
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.6826494
Coefficient of variation (CV)1.5261239
Kurtosis3.2775572
Mean1.1025641
Median Absolute Deviation (MAD)0
Skewness1.8564763
Sum43
Variance2.831309
MonotonicityNot monotonic
2024-03-13T22:30:59.560471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 21
53.8%
1 8
 
20.5%
2 4
 
10.3%
4 3
 
7.7%
3 1
 
2.6%
7 1
 
2.6%
5 1
 
2.6%
ValueCountFrequency (%)
0 21
53.8%
1 8
 
20.5%
2 4
 
10.3%
3 1
 
2.6%
4 3
 
7.7%
5 1
 
2.6%
7 1
 
2.6%
ValueCountFrequency (%)
7 1
 
2.6%
5 1
 
2.6%
4 3
 
7.7%
3 1
 
2.6%
2 4
 
10.3%
1 8
 
20.5%
0 21
53.8%

6년이상교사수
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
20 
1
9 
2
9 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
51.3%
1 9
23.1%
2 9
23.1%
3 1
 
2.6%

Length

2024-03-13T22:30:59.672939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:30:59.802554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
51.3%
1 9
23.1%
2 9
23.1%
3 1
 
2.6%

공시차수
Categorical

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

2024-03-13T22:30:59.926700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:31:00.049591image/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
2024-03-13T22:31:00.294386image/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%
2024-03-13T22:31:00.722383image/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%

Interactions

2024-03-13T22:30:56.068567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:54.874097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.246891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.665185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:56.179411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:54.963697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.332574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.768558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:56.291537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.051784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.413963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.861504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:56.417751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.149630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.539330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:30:55.972166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:31:00.826187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.0000.2290.6320.4300.6230.3330.000
1년미만교사수1.0001.0000.0001.0000.0000.0000.0000.5570.4700.000
1년이상2년미만교사수1.0001.0000.2290.0001.0000.0000.0000.0160.0000.952
2년이상4년미만교사수1.0001.0000.6320.0000.0001.0000.0000.0000.6370.000
4년이상6년미만교사수1.0001.0000.4300.0000.0000.0001.0000.0000.0000.000
6년이상교사수1.0001.0000.6230.5570.0160.0000.0001.0000.4380.000
공시차수1.0001.0000.3330.4700.0000.6370.0000.4381.0000.000
주소1.0001.0000.0000.0000.9520.0000.0000.0000.0001.000
2024-03-13T22:31:00.959674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형6년이상교사수
공시차수1.0000.2690.362
설립유형0.2691.0000.282
6년이상교사수0.3620.2821.000
2024-03-13T22:31:01.058457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수설립유형6년이상교사수공시차수
1년미만교사수1.0000.0800.0010.0210.0000.2890.318
1년이상2년미만교사수0.0801.0000.021-0.0910.1320.0000.000
2년이상4년미만교사수0.0010.0211.000-0.2530.2980.0000.434
4년이상6년미만교사수0.021-0.091-0.2531.0000.2890.0000.000
설립유형0.0000.1320.2980.2891.0000.2820.269
6년이상교사수0.2890.0000.0000.0000.2821.0000.362
공시차수0.3180.0000.4340.0000.2690.3621.000

Missing values

2024-03-13T22:30:56.559972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:30:56.768886image/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

교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)5014120232서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)2011020232서울특별시 관악구 행운1길 96
2서울특별시교육청동작관악교육지원청1ecec08c-ef08-b044-e053-0a32095ab044서울관악초등학교병설유치원공립(병설)0130020232서울특별시 관악구 청룡4길 49
3서울특별시교육청동작관악교육지원청1ecec08c-efc0-b044-e053-0a32095ab044서울은천초등학교병설유치원공립(병설)0121220232서울특별시 관악구 은천로 69
4서울특별시교육청동작관악교육지원청1ecec08c-f124-b044-e053-0a32095ab044서울신성초등학교병설유치원공립(병설)4020020232서울특별시 관악구 신림로 114
5서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)2351120182서울특별시 관악구 관악로30길 12
6서울특별시교육청동작관악교육지원청1ecec08c-f1af-b044-e053-0a32095ab044현대유치원사립(사인)1134220232서울특별시 관악구 관악로40길 55
7서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)0200120192서울특별시 관악구 신원로3길 59-9
8서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)3010120182서울특별시 관악구 낙성대역14길 6
9서울특별시교육청동작관악교육지원청1ecec08c-f5f1-b044-e053-0a32095ab044종인유치원사립(사인)2000120202서울특별시 관악구 솔밭로 20
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)0011220232서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)1022020232서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)1410020232서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)0080020232서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)0007020232서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)2005020232서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)0021020232서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)0030020232서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)1012020232서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)1020020232서울특별시 관악구 문성로28길 31