Overview

Dataset statistics

Number of variables12
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory104.5 B

Variable types

Categorical5
Text3
Numeric4

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20761/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (65.3%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
1년미만교사수 has 14 (26.4%) zerosZeros
1년이상2년미만교사수 has 21 (39.6%) zerosZeros
2년이상4년미만교사수 has 16 (30.2%) zerosZeros
6년이상교사수 has 30 (56.6%) zerosZeros

Reproduction

Analysis started2024-04-17 19:04:39.887533
Analysis finished2024-04-17 19:04:41.465636
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-04-18T04:04:41.520525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:41.589305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

Length

2024-04-18T04:04:41.658803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:41.728356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T04:04:41.880650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ee4e-b044-e053-0a32095ab044
2nd row1ecec08c-ee4f-b044-e053-0a32095ab044
3rd row1ecec08c-ee50-b044-e053-0a32095ab044
4th row1ecec08c-ef05-b044-e053-0a32095ab044
5th row1ecec08c-ef38-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ee4e-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-02aa-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-062f-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-04-18T04:04:42.160723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T04:04:42.369743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row영광유치원
3rd row은영유치원
4th row두산효자유치원
5th row새싹유치원
ValueCountFrequency (%)
개동유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
한가람유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
루이유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-04-18T04:04:42.683957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

설립유형
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-04-18T04:04:42.788296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:42.868116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

1년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7924528
Minimum0
Maximum7
Zeros14
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-18T04:04:42.938866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile4.4
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6682383
Coefficient of variation (CV)0.93070134
Kurtosis0.87928855
Mean1.7924528
Median Absolute Deviation (MAD)1
Skewness1.0140695
Sum95
Variance2.7830189
MonotonicityNot monotonic
2024-04-18T04:04:43.022482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
26.4%
2 13
24.5%
1 12
22.6%
4 6
11.3%
3 5
 
9.4%
6 1
 
1.9%
7 1
 
1.9%
5 1
 
1.9%
ValueCountFrequency (%)
0 14
26.4%
1 12
22.6%
2 13
24.5%
3 5
 
9.4%
4 6
11.3%
5 1
 
1.9%
6 1
 
1.9%
7 1
 
1.9%
ValueCountFrequency (%)
7 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
4 6
11.3%
3 5
 
9.4%
2 13
24.5%
1 12
22.6%
0 14
26.4%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3584906
Minimum0
Maximum5
Zeros21
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-18T04:04:43.105968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5203028
Coefficient of variation (CV)1.1191118
Kurtosis0.010910416
Mean1.3584906
Median Absolute Deviation (MAD)1
Skewness0.99698971
Sum72
Variance2.3113208
MonotonicityNot monotonic
2024-04-18T04:04:43.181482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
39.6%
1 13
24.5%
2 7
 
13.2%
3 6
 
11.3%
5 3
 
5.7%
4 3
 
5.7%
ValueCountFrequency (%)
0 21
39.6%
1 13
24.5%
2 7
 
13.2%
3 6
 
11.3%
4 3
 
5.7%
5 3
 
5.7%
ValueCountFrequency (%)
5 3
 
5.7%
4 3
 
5.7%
3 6
 
11.3%
2 7
 
13.2%
1 13
24.5%
0 21
39.6%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7735849
Minimum0
Maximum6
Zeros16
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-18T04:04:43.252363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6248255
Coefficient of variation (CV)0.91612504
Kurtosis-0.27167373
Mean1.7735849
Median Absolute Deviation (MAD)1
Skewness0.68888164
Sum94
Variance2.6400581
MonotonicityNot monotonic
2024-04-18T04:04:43.333145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
30.2%
2 15
28.3%
1 8
15.1%
3 5
 
9.4%
4 5
 
9.4%
5 3
 
5.7%
6 1
 
1.9%
ValueCountFrequency (%)
0 16
30.2%
1 8
15.1%
2 15
28.3%
3 5
 
9.4%
4 5
 
9.4%
5 3
 
5.7%
6 1
 
1.9%
ValueCountFrequency (%)
6 1
 
1.9%
5 3
 
5.7%
4 5
 
9.4%
3 5
 
9.4%
2 15
28.3%
1 8
15.1%
0 16
30.2%

4년이상6년미만교사수
Categorical

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
0
26 
2
11 
1
10 
3
5 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
49.1%
2 11
20.8%
1 10
 
18.9%
3 5
 
9.4%
5 1
 
1.9%

Length

2024-04-18T04:04:43.424299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:43.503051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
49.1%
2 11
20.8%
1 10
 
18.9%
3 5
 
9.4%
5 1
 
1.9%

6년이상교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0754717
Minimum0
Maximum9
Zeros30
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-18T04:04:43.578857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4.2
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8381539
Coefficient of variation (CV)1.7091607
Kurtosis7.8818216
Mean1.0754717
Median Absolute Deviation (MAD)0
Skewness2.6263431
Sum57
Variance3.3788099
MonotonicityNot monotonic
2024-04-18T04:04:43.656266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 30
56.6%
2 9
 
17.0%
1 8
 
15.1%
3 3
 
5.7%
9 1
 
1.9%
6 1
 
1.9%
7 1
 
1.9%
ValueCountFrequency (%)
0 30
56.6%
1 8
 
15.1%
2 9
 
17.0%
3 3
 
5.7%
6 1
 
1.9%
7 1
 
1.9%
9 1
 
1.9%
ValueCountFrequency (%)
9 1
 
1.9%
7 1
 
1.9%
6 1
 
1.9%
3 3
 
5.7%
2 9
 
17.0%
1 8
 
15.1%
0 30
56.6%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
20232
46 
20182
 
3
20192
 
2
20222
 
1
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

Length

2024-04-18T04:04:43.746801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:43.829299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T04:04:44.019442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
Distinct characters58
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

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 성북구 북악산로 913
3rd row서울특별시 성북구 보문사길 18
4th row서울특별시 성북구 화랑로48길 16
5th row서울특별시 성북구 정릉로 282
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
보문사길 2
 
0.9%
삼양로 2
 
0.9%
73 2
 
0.9%
66 2
 
0.9%
성북로 2
 
0.9%
Other values (79) 85
40.1%
2024-04-18T04:04:44.344971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
8 9
 
5.3%
0 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

Interactions

2024-04-18T04:04:41.032518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.238190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.492140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.767521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:41.096010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.303642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.556249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.845704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:41.154463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.368547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.624491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.908344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:41.215225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.433155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.693921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:04:40.975223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T04:04:44.424874image/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
설립유형1.0001.0001.0000.2380.1080.3310.0000.3030.0000.658
1년미만교사수1.0001.0000.2381.0000.3840.3650.1830.0000.0000.929
1년이상2년미만교사수1.0001.0000.1080.3841.0000.0000.2920.3810.0000.933
2년이상4년미만교사수1.0001.0000.3310.3650.0001.0000.0000.4820.6240.000
4년이상6년미만교사수1.0001.0000.0000.1830.2920.0001.0000.4010.0000.991
6년이상교사수1.0001.0000.3030.0000.3810.4820.4011.0000.0000.982
공시차수1.0001.0000.0000.0000.0000.6240.0000.0001.0000.000
주소1.0001.0000.6580.9290.9330.0000.9910.9820.0001.000
2024-04-18T04:04:44.518209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형공시차수4년이상6년미만교사수
설립유형1.0000.0000.000
공시차수0.0001.0000.000
4년이상6년미만교사수0.0000.0001.000
2024-04-18T04:04:44.588188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수6년이상교사수설립유형4년이상6년미만교사수공시차수
1년미만교사수1.0000.2090.014-0.0080.0900.0960.000
1년이상2년미만교사수0.2091.0000.0270.2680.0520.1950.000
2년이상4년미만교사수0.0140.0271.0000.0330.2210.0000.453
6년이상교사수-0.0080.2680.0331.0000.2000.2600.000
설립유형0.0900.0520.2210.2001.0000.0000.000
4년이상6년미만교사수0.0960.1950.0000.2600.0001.0000.000
공시차수0.0000.0000.4530.0000.0000.0001.000

Missing values

2024-04-18T04:04:41.295707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T04:04:41.418087image/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
0서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)2000220232서울특별시 성북구 보국문로 143
1서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)6301220232서울특별시 성북구 북악산로 913
2서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)0523020232서울특별시 성북구 보문사길 18
3서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)1122020232서울특별시 성북구 화랑로48길 16
4서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)2531020232서울특별시 성북구 정릉로 282
5서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)1102220232서울특별시 성북구 안암로7길 66
6서울특별시교육청성북강북교육지원청1ecec08c-efee-b044-e053-0a32095ab044성신유치원사립(법인)0302220232서울특별시 성북구 보문로34다길 2
7서울특별시교육청성북강북교육지원청1ecec08c-f051-b044-e053-0a32095ab044서울장곡초등학교병설유치원공립(병설)0030020232서울특별시 성북구 장월로23길 16
8서울특별시교육청성북강북교육지원청1ecec08c-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)0400020182서울특별시 성북구 종암로9길 78
9서울특별시교육청성북강북교육지원청1ecec08c-f372-b044-e053-0a32095ab044선한유치원사립(법인)3040120232서울특별시 성북구 길음로9길 73
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
43서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)1315320232서울특별시 성북구 종암로24가길 53
44서울특별시교육청성북강북교육지원청1ecec08d-0af8-b044-e053-0a32095ab044세아유치원사립(사인)0030120232서울특별시 성북구 성북로4길 52
45서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)2020020232서울특별시 성북구 돌곶이로22길 21
46서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)3410220232서울특별시 성북구 장월로1가길 9
47서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)1023120232서울특별시 성북구 종암로5길 14
48서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)2100020222서울특별시 성북구 성북로4길 52
49서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)4060020191서울특별시 성북구 길음로13길 29
50서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)1022020232서울특별시 성북구 길음로13길 29
51서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)0022020232서울특별시 성북구 장월로8가길 41
52서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)2020020232서울특별시 성북구 숭인로 50