Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory106.4 B

Variable types

Categorical6
Text3
Numeric3

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-20767/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
1년미만교사수 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
설립유형 is highly overall correlated with 1년미만교사수High correlation
4년이상6년미만교사수 is highly overall correlated with 1년미만교사수High correlation
공시차수 is highly imbalanced (64.6%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
1년미만교사수 has 7 (23.3%) zerosZeros
1년이상2년미만교사수 has 11 (36.7%) zerosZeros
2년이상4년미만교사수 has 8 (26.7%) zerosZeros

Reproduction

Analysis started2024-03-13 12:43:01.793439
Analysis finished2024-03-13 12:43:03.936037
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서울특별시교육청
30 

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 30
100.0%

Length

2024-03-13T21:43:04.013382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:04.132799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 30
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서부교육지원청
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 30
100.0%

Length

2024-03-13T21:43:04.274940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:04.401819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 30
100.0%

유치원코드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T21:43:04.699583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1080
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

Unique30 ?
Unique (%)100.0%

Sample

1st row08d485cb-06c8-4964-bf03-ed1b178ef3fd
2nd row1ecec08c-ed18-b044-e053-0a32095ab044
3rd row1ecec08c-eed5-b044-e053-0a32095ab044
4th row1ecec08c-eed6-b044-e053-0a32095ab044
5th row1ecec08c-eed8-b044-e053-0a32095ab044
ValueCountFrequency (%)
08d485cb-06c8-4964-bf03-ed1b178ef3fd 1
 
3.3%
1ecec08c-ed18-b044-e053-0a32095ab044 1
 
3.3%
7a4a1b05-c84a-43b0-8f02-ebdbe5072f01 1
 
3.3%
7752e1a7-0e79-4b17-a19c-846d041414e2 1
 
3.3%
5c17325b-1fe9-427b-8648-bd0e5dc0130b 1
 
3.3%
1fc6dd86-cccb-d1d2-e053-0a32095ad1d2 1
 
3.3%
1ecec08d-0e40-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0d42-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0c0b-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b27-b044-e053-0a32095ab044 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T21:43:05.134190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
16.2%
4 120
11.1%
- 120
11.1%
e 98
9.1%
c 78
 
7.2%
b 69
 
6.4%
5 62
 
5.7%
3 57
 
5.3%
a 57
 
5.3%
1 45
 
4.2%
Other values (7) 199
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
55.6%
Lowercase Letter 360
33.3%
Dash Punctuation 120
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
29.2%
4 120
20.0%
5 62
 
10.3%
3 57
 
9.5%
1 45
 
7.5%
8 41
 
6.8%
2 40
 
6.7%
9 31
 
5.2%
7 17
 
2.8%
6 12
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 98
27.2%
c 78
21.7%
b 69
19.2%
a 57
15.8%
d 38
 
10.6%
f 20
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
66.7%
Latin 360
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
24.3%
4 120
16.7%
- 120
16.7%
5 62
 
8.6%
3 57
 
7.9%
1 45
 
6.2%
8 41
 
5.7%
2 40
 
5.6%
9 31
 
4.3%
7 17
 
2.4%
Latin
ValueCountFrequency (%)
e 98
27.2%
c 78
21.7%
b 69
19.2%
a 57
15.8%
d 38
 
10.6%
f 20
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
16.2%
4 120
11.1%
- 120
11.1%
e 98
9.1%
c 78
 
7.2%
b 69
 
6.4%
5 62
 
5.7%
3 57
 
5.3%
a 57
 
5.3%
1 45
 
4.2%
Other values (7) 199
18.4%

유치원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T21:43:05.482734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.1666667
Min length5

Characters and Unicode

Total characters275
Distinct characters64
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울소의초등학교병설유치원
2nd row홍익대학교사범대학부속유치원
3rd row서울마포초등학교병설유치원
4th row서울상암초등학교병설유치원
5th row서일유치원
ValueCountFrequency (%)
서울소의초등학교병설유치원 1
 
3.3%
홍익대학교사범대학부속유치원 1
 
3.3%
서울중동초등학교병설유치원 1
 
3.3%
서울성서초등학교병설유치원 1
 
3.3%
서울동교초등학교병설유치원 1
 
3.3%
서울성산초등학교병설유치원 1
 
3.3%
삼성그린유치원 1
 
3.3%
서울공덕초등학교병설유치원 1
 
3.3%
돌샘유치원 1
 
3.3%
마포대진유치원 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T21:43:05.945829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
10.9%
30
 
10.9%
30
 
10.9%
17
 
6.2%
15
 
5.5%
15
 
5.5%
14
 
5.1%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (54) 85
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
10.9%
30
 
10.9%
30
 
10.9%
17
 
6.2%
15
 
5.5%
15
 
5.5%
14
 
5.1%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (54) 85
30.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
10.9%
30
 
10.9%
30
 
10.9%
17
 
6.2%
15
 
5.5%
15
 
5.5%
14
 
5.1%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (54) 85
30.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
10.9%
30
 
10.9%
30
 
10.9%
17
 
6.2%
15
 
5.5%
15
 
5.5%
14
 
5.1%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (54) 85
30.9%

설립유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
43.3%
사립(사인) 13
43.3%
사립(법인) 4
 
13.3%

Length

2024-03-13T21:43:06.127268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:06.263842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
43.3%
사립(사인 13
43.3%
사립(법인 4
 
13.3%

1년미만교사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8666667
Minimum0
Maximum14
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T21:43:06.390511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34.75
95-th percentile9.75
Maximum14
Range14
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation3.4514698
Coefficient of variation (CV)1.2040011
Kurtosis3.6668444
Mean2.8666667
Median Absolute Deviation (MAD)2
Skewness1.8782476
Sum86
Variance11.912644
MonotonicityNot monotonic
2024-03-13T21:43:06.542891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 7
23.3%
1 7
23.3%
2 6
20.0%
5 3
10.0%
6 2
 
6.7%
4 1
 
3.3%
14 1
 
3.3%
3 1
 
3.3%
12 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 7
23.3%
2 6
20.0%
3 1
 
3.3%
4 1
 
3.3%
5 3
10.0%
6 2
 
6.7%
7 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
12 1
 
3.3%
7 1
 
3.3%
6 2
 
6.7%
5 3
10.0%
4 1
 
3.3%
3 1
 
3.3%
2 6
20.0%
1 7
23.3%
0 7
23.3%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum0
Maximum6
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T21:43:06.700959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.1
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7567603
Coefficient of variation (CV)1.1711736
Kurtosis1.1113073
Mean1.5
Median Absolute Deviation (MAD)1
Skewness1.3288081
Sum45
Variance3.0862069
MonotonicityNot monotonic
2024-03-13T21:43:07.351438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
2 5
16.7%
4 3
 
10.0%
6 2
 
6.7%
3 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
2 5
16.7%
3 1
 
3.3%
4 3
 
10.0%
6 2
 
6.7%
ValueCountFrequency (%)
6 2
 
6.7%
4 3
 
10.0%
3 1
 
3.3%
2 5
16.7%
1 8
26.7%
0 11
36.7%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8666667
Minimum0
Maximum8
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T21:43:07.513888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median1.5
Q32.75
95-th percentile5.55
Maximum8
Range8
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.9250317
Coefficient of variation (CV)1.031267
Kurtosis2.6298128
Mean1.8666667
Median Absolute Deviation (MAD)1.5
Skewness1.5074078
Sum56
Variance3.7057471
MonotonicityNot monotonic
2024-03-13T21:43:07.736555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 8
26.7%
2 7
23.3%
1 7
23.3%
3 4
13.3%
4 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 8
26.7%
1 7
23.3%
2 7
23.3%
3 4
13.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
3 4
13.3%
2 7
23.3%
1 7
23.3%
0 8
26.7%

4년이상6년미만교사수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
10 
1
2
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row2
4th row1
5th row3

Common Values

ValueCountFrequency (%)
0 10
33.3%
1 9
30.0%
2 8
26.7%
3 2
 
6.7%
4 1
 
3.3%

Length

2024-03-13T21:43:07.972042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:08.167587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10
33.3%
1 9
30.0%
2 8
26.7%
3 2
 
6.7%
4 1
 
3.3%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row5
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 5
 
16.7%
2 5
 
16.7%
5 1
 
3.3%

Length

2024-03-13T21:43:08.346107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:08.519572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 5
 
16.7%
2 5
 
16.7%
5 1
 
3.3%

공시차수
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
20232
27 
20182
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
20232 27
90.0%
20182 2
 
6.7%
20192 1
 
3.3%

Length

2024-03-13T21:43:08.699039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:43:08.873983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 27
90.0%
20182 2
 
6.7%
20192 1
 
3.3%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T21:43:09.170457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.9
Min length16

Characters and Unicode

Total characters567
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 마포대로24길 42
2nd row서울특별시 마포구 성미산로 111
3rd row서울특별시 마포구 도화2길 64
4th row서울특별시 마포구 월드컵북로 353
5th row서울특별시 마포구 새터산16길 14
ValueCountFrequency (%)
서울특별시 30
25.0%
마포구 30
25.0%
월드컵북로 4
 
3.3%
성미산로 2
 
1.7%
19 2
 
1.7%
월드컵로42길 2
 
1.7%
12 1
 
0.8%
백범로1길 1
 
0.8%
56 1
 
0.8%
독막로28길 1
 
0.8%
Other values (46) 46
38.3%
2024-03-13T21:43:09.653942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.9%
31
 
5.5%
31
 
5.5%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
24
 
4.2%
Other values (44) 211
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
65.3%
Decimal Number 103
 
18.2%
Space Separator 90
 
15.9%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
8.4%
31
 
8.4%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
24
 
6.5%
21
 
5.7%
Other values (32) 83
22.4%
Decimal Number
ValueCountFrequency (%)
1 24
23.3%
2 19
18.4%
3 13
12.6%
4 13
12.6%
6 10
9.7%
5 9
 
8.7%
7 5
 
4.9%
9 4
 
3.9%
0 3
 
2.9%
8 3
 
2.9%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
65.3%
Common 197
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
8.4%
31
 
8.4%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
24
 
6.5%
21
 
5.7%
Other values (32) 83
22.4%
Common
ValueCountFrequency (%)
90
45.7%
1 24
 
12.2%
2 19
 
9.6%
3 13
 
6.6%
4 13
 
6.6%
6 10
 
5.1%
5 9
 
4.6%
7 5
 
2.5%
- 4
 
2.0%
9 4
 
2.0%
Other values (2) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
65.3%
ASCII 197
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
45.7%
1 24
 
12.2%
2 19
 
9.6%
3 13
 
6.6%
4 13
 
6.6%
6 10
 
5.1%
5 9
 
4.6%
7 5
 
2.5%
- 4
 
2.0%
9 4
 
2.0%
Other values (2) 6
 
3.0%
Hangul
ValueCountFrequency (%)
31
 
8.4%
31
 
8.4%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
30
 
8.1%
24
 
6.5%
21
 
5.7%
Other values (32) 83
22.4%

Interactions

2024-03-13T21:43:03.224451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:02.370324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:02.756178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:03.382627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:02.507659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:02.884145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:03.503027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:02.626601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:43:03.027526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:43:09.812798image/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
설립유형1.0001.0001.0000.6530.6230.5120.0000.3610.2481.000
1년미만교사수1.0001.0000.6531.0000.6260.8410.6880.0000.0001.000
1년이상2년미만교사수1.0001.0000.6230.6261.0000.5920.3560.2780.0001.000
2년이상4년미만교사수1.0001.0000.5120.8410.5921.0000.6050.5320.0001.000
4년이상6년미만교사수1.0001.0000.0000.6880.3560.6051.0000.3260.0001.000
6년이상교사수1.0001.0000.3610.0000.2780.5320.3261.0000.0001.000
공시차수1.0001.0000.2480.0000.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T21:43:10.019572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수4년이상6년미만교사수설립유형6년이상교사수
공시차수1.0000.0000.0630.000
4년이상6년미만교사수0.0001.0000.0000.257
설립유형0.0630.0001.0000.339
6년이상교사수0.0000.2570.3391.000
2024-03-13T21:43:10.205631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수설립유형4년이상6년미만교사수6년이상교사수공시차수
1년미만교사수1.0000.4330.3010.5090.5160.0000.099
1년이상2년미만교사수0.4331.0000.3790.2930.2330.1560.000
2년이상4년미만교사수0.3010.3791.0000.3310.3920.2210.000
설립유형0.5090.2930.3311.0000.0000.3390.063
4년이상6년미만교사수0.5160.2330.3920.0001.0000.2570.000
6년이상교사수0.0000.1560.2210.3390.2571.0000.000
공시차수0.0990.0000.0000.0630.0000.0001.000

Missing values

2024-03-13T21:43:03.657393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:43:03.850432image/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
0서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)0120020232서울특별시 마포구 마포대로24길 42
1서울특별시교육청서부교육지원청1ecec08c-ed18-b044-e053-0a32095ab044홍익대학교사범대학부속유치원사립(법인)0110520232서울특별시 마포구 성미산로 111
2서울특별시교육청서부교육지원청1ecec08c-eed5-b044-e053-0a32095ab044서울마포초등학교병설유치원공립(병설)0022020232서울특별시 마포구 도화2길 64
3서울특별시교육청서부교육지원청1ecec08c-eed6-b044-e053-0a32095ab044서울상암초등학교병설유치원공립(병설)2001020232서울특별시 마포구 월드컵북로 353
4서울특별시교육청서부교육지원청1ecec08c-eed8-b044-e053-0a32095ab044서일유치원사립(사인)4123120232서울특별시 마포구 새터산16길 14
5서울특별시교육청서부교육지원청1ecec08c-efe0-b044-e053-0a32095ab044배영유치원사립(사인)5111120232서울특별시 마포구 잔다리로6길 11
6서울특별시교육청서부교육지원청1ecec08c-f27b-b044-e053-0a32095ab044서울상지초등학교병설유치원공립(병설)0002220232서울특별시 마포구 월드컵로42길 30
7서울특별시교육청서부교육지원청1ecec08c-f27c-b044-e053-0a32095ab044대진유치원사립(법인)0241120232서울특별시 마포구 성미산로11길 36
8서울특별시교육청서부교육지원청1ecec08c-f64c-b044-e053-0a32095ab044성산아트유치원사립(사인)6220020232서울특별시 마포구 새터산2길 34
9서울특별시교육청서부교육지원청1ecec08c-f72b-b044-e053-0a32095ab044정님유치원사립(사인)2461120232서울특별시 마포구 숭문6길 19
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
20서울특별시교육청서부교육지원청1ecec08d-09dd-b044-e053-0a32095ab044새싹유치원사립(사인)2211120182서울특별시 마포구 월드컵북로5길 53
21서울특별시교육청서부교육지원청1ecec08d-0b27-b044-e053-0a32095ab044마포대진유치원사립(법인)12682020232서울특별시 마포구 성미산로 110
22서울특별시교육청서부교육지원청1ecec08d-0c0b-b044-e053-0a32095ab044돌샘유치원사립(사인)2432220232서울특별시 마포구 백범로37길 12
23서울특별시교육청서부교육지원청1ecec08d-0d42-b044-e053-0a32095ab044서울공덕초등학교병설유치원공립(병설)0001220232서울특별시 마포구 만리재옛길 13
24서울특별시교육청서부교육지원청1ecec08d-0e40-b044-e053-0a32095ab044삼성그린유치원사립(사인)7230020232서울특별시 마포구 도화4길 62
25서울특별시교육청서부교육지원청1fc6dd86-cccb-d1d2-e053-0a32095ad1d2서울성산초등학교병설유치원공립(병설)1130020232서울특별시 마포구 양화로3길 94
26서울특별시교육청서부교육지원청5c17325b-1fe9-427b-8648-bd0e5dc0130b서울동교초등학교병설유치원공립(병설)0102020232서울특별시 마포구 월드컵로25길 86
27서울특별시교육청서부교육지원청7752e1a7-0e79-4b17-a19c-846d041414e2서울성서초등학교병설유치원공립(병설)2300020232서울특별시 마포구 성미산로7길 24
28서울특별시교육청서부교육지원청7a4a1b05-c84a-43b0-8f02-ebdbe5072f01서울중동초등학교병설유치원공립(병설)1020020232서울특별시 마포구 월드컵북로 152
29서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)1110020232서울특별시 마포구 대흥로24바길 27