Overview

Dataset statistics

Number of variables12
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory104.8 B

Variable types

Categorical4
Text3
Numeric5

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20768/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
1년미만교사수 has 13 (27.1%) zerosZeros
1년이상2년미만교사수 has 19 (39.6%) zerosZeros
2년이상4년미만교사수 has 13 (27.1%) zerosZeros
6년이상교사수 has 30 (62.5%) zerosZeros

Reproduction

Analysis started2024-03-13 18:57:49.499031
Analysis finished2024-03-13 18:57:51.682431
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시교육청
48 

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 48
100.0%

Length

2024-03-14T03:57:51.728304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:51.795990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 48
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강서양천교육지원청
48 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

Length

2024-03-14T03:57:51.874449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:51.937655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

유치원코드
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T03:57:52.086208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1728
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

Unique48 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-eec5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.1%
1ecec08c-ed7f-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-04c8-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054d-b044-e053-0a32095ab044 1
 
2.1%
Other values (38) 38
79.2%
2024-03-14T03:57:52.419942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
56.0%
Lowercase Letter 569
32.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
30.4%
4 192
19.9%
5 104
 
10.8%
3 99
 
10.2%
8 66
 
6.8%
9 63
 
6.5%
2 58
 
6.0%
1 58
 
6.0%
6 20
 
2.1%
7 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
67.1%
Latin 569
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
25.4%
4 192
16.6%
- 192
16.6%
5 104
 
9.0%
3 99
 
8.5%
8 66
 
5.7%
9 63
 
5.4%
2 58
 
5.0%
1 58
 
5.0%
6 20
 
1.7%
Latin
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

유치원명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T03:57:52.621854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.3125
Min length5

Characters and Unicode

Total characters351
Distinct characters66
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

Unique48 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row솔샘유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.1%
새서울유치원 1
 
2.1%
한서유치원 1
 
2.1%
성보유치원 1
 
2.1%
어린이의정원유치원 1
 
2.1%
광영유치원 1
 
2.1%
서울강신초등학교병설유치원 1
 
2.1%
레인보우유치원 1
 
2.1%
세화유치원 1
 
2.1%
양서유치원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-14T03:57:52.915487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

설립유형
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
사립(사인)
29 
공립(병설)
12 
사립(법인)
5 
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 row공립(단설)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 29
60.4%
공립(병설) 12
25.0%
사립(법인) 5
 
10.4%
공립(단설) 2
 
4.2%

Length

2024-03-14T03:57:53.234644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:53.304430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 29
60.4%
공립(병설 12
25.0%
사립(법인 5
 
10.4%
공립(단설 2
 
4.2%

1년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum0
Maximum9
Zeros13
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T03:57:53.376909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5.65
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0053121
Coefficient of variation (CV)0.89124982
Kurtosis1.3275601
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.94572827
Sum108
Variance4.0212766
MonotonicityNot monotonic
2024-03-14T03:57:53.452299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
27.1%
3 11
22.9%
2 9
18.8%
1 5
 
10.4%
4 4
 
8.3%
5 3
 
6.2%
6 2
 
4.2%
9 1
 
2.1%
ValueCountFrequency (%)
0 13
27.1%
1 5
 
10.4%
2 9
18.8%
3 11
22.9%
4 4
 
8.3%
5 3
 
6.2%
6 2
 
4.2%
9 1
 
2.1%
ValueCountFrequency (%)
9 1
 
2.1%
6 2
 
4.2%
5 3
 
6.2%
4 4
 
8.3%
3 11
22.9%
2 9
18.8%
1 5
 
10.4%
0 13
27.1%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4791667
Minimum0
Maximum6
Zeros19
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T03:57:53.531362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.25
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.5843595
Coefficient of variation (CV)1.0711163
Kurtosis0.086714684
Mean1.4791667
Median Absolute Deviation (MAD)1
Skewness0.89388394
Sum71
Variance2.510195
MonotonicityNot monotonic
2024-03-14T03:57:53.612800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
39.6%
2 9
18.8%
1 8
16.7%
3 6
 
12.5%
4 4
 
8.3%
6 1
 
2.1%
5 1
 
2.1%
ValueCountFrequency (%)
0 19
39.6%
1 8
16.7%
2 9
18.8%
3 6
 
12.5%
4 4
 
8.3%
5 1
 
2.1%
6 1
 
2.1%
ValueCountFrequency (%)
6 1
 
2.1%
5 1
 
2.1%
4 4
 
8.3%
3 6
 
12.5%
2 9
18.8%
1 8
16.7%
0 19
39.6%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7083333
Minimum0
Maximum8
Zeros13
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T03:57:53.697243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.65
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7619903
Coefficient of variation (CV)1.031409
Kurtosis2.5276546
Mean1.7083333
Median Absolute Deviation (MAD)1
Skewness1.4646148
Sum82
Variance3.1046099
MonotonicityNot monotonic
2024-03-14T03:57:53.786140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 14
29.2%
0 13
27.1%
2 10
20.8%
4 5
 
10.4%
3 3
 
6.2%
6 1
 
2.1%
5 1
 
2.1%
8 1
 
2.1%
ValueCountFrequency (%)
0 13
27.1%
1 14
29.2%
2 10
20.8%
3 3
 
6.2%
4 5
 
10.4%
5 1
 
2.1%
6 1
 
2.1%
8 1
 
2.1%
ValueCountFrequency (%)
8 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%
4 5
 
10.4%
3 3
 
6.2%
2 10
20.8%
1 14
29.2%
0 13
27.1%

4년이상6년미만교사수
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
19 
1
15 
2
6 
3
6 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
39.6%
1 15
31.2%
2 6
 
12.5%
3 6
 
12.5%
4 2
 
4.2%

Length

2024-03-14T03:57:53.880902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:53.969072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
39.6%
1 15
31.2%
2 6
 
12.5%
3 6
 
12.5%
4 2
 
4.2%

6년이상교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79166667
Minimum0
Maximum5
Zeros30
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T03:57:54.046581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.65
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3201923
Coefficient of variation (CV)1.6676114
Kurtosis3.1912172
Mean0.79166667
Median Absolute Deviation (MAD)0
Skewness1.9069138
Sum38
Variance1.7429078
MonotonicityNot monotonic
2024-03-14T03:57:54.133356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 30
62.5%
1 8
 
16.7%
2 5
 
10.4%
3 2
 
4.2%
5 2
 
4.2%
4 1
 
2.1%
ValueCountFrequency (%)
0 30
62.5%
1 8
 
16.7%
2 5
 
10.4%
3 2
 
4.2%
4 1
 
2.1%
5 2
 
4.2%
ValueCountFrequency (%)
5 2
 
4.2%
4 1
 
2.1%
3 2
 
4.2%
2 5
 
10.4%
1 8
 
16.7%
0 30
62.5%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.646
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T03:57:54.213424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.339525
Coefficient of variation (CV)0.00085738869
Kurtosis1.233032
Mean20223.646
Median Absolute Deviation (MAD)0
Skewness-1.7323276
Sum970735
Variance300.65913
MonotonicityNot monotonic
2024-03-14T03:57:54.300814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 38
79.2%
20182 4
 
8.3%
20192 3
 
6.2%
20202 1
 
2.1%
20191 1
 
2.1%
20222 1
 
2.1%
ValueCountFrequency (%)
20182 4
 
8.3%
20191 1
 
2.1%
20192 3
 
6.2%
20202 1
 
2.1%
20222 1
 
2.1%
20232 38
79.2%
ValueCountFrequency (%)
20232 38
79.2%
20222 1
 
2.1%
20202 1
 
2.1%
20192 3
 
6.2%
20191 1
 
2.1%
20182 4
 
8.3%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T03:57:54.545748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.041667
Min length16

Characters and Unicode

Total characters914
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

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동서로 130
ValueCountFrequency (%)
서울특별시 48
25.0%
양천구 48
25.0%
목동서로 5
 
2.6%
목동동로 4
 
2.1%
22 3
 
1.6%
30 3
 
1.6%
130 2
 
1.0%
280 2
 
1.0%
13 2
 
1.0%
38 2
 
1.0%
Other values (67) 73
38.0%
2024-03-14T03:57:54.855250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
서 54
 
5.9%
천 49
 
5.4%
양 49
 
5.4%
구 48
 
5.3%
로 48
 
5.3%
시 48
 
5.3%
별 48
 
5.3%
특 48
 
5.3%
울 48
 
5.3%
Other values (33) 330
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
66.0%
Decimal Number 160
 
17.5%
Space Separator 144
 
15.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Decimal Number
ValueCountFrequency (%)
1 28
17.5%
2 27
16.9%
3 22
13.8%
0 22
13.8%
4 13
8.1%
8 12
7.5%
9 11
 
6.9%
7 10
 
6.2%
6 8
 
5.0%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
66.0%
Common 311
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Common
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
66.0%
ASCII 311
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%
Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%

Interactions

2024-03-14T03:57:51.172724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:49.803841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.181653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.497456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.828387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.228392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:49.858752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.238929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.560993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.889497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.294470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:49.918166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.304796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.628403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.967637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.364037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.014045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.372900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.700068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.050338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.423253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.109749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.434218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:50.764606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:51.109516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T03:57:54.935819image/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
설립유형1.0001.0001.0000.4840.0000.6030.0000.2230.0000.000
1년미만교사수1.0001.0000.4841.0000.2330.0000.1440.0000.0000.000
1년이상2년미만교사수1.0001.0000.0000.2331.0000.0000.1610.4760.0000.895
2년이상4년미만교사수1.0001.0000.6030.0000.0001.0000.0000.0000.0000.000
4년이상6년미만교사수1.0001.0000.0000.1440.1610.0001.0000.1760.0001.000
6년이상교사수1.0001.0000.2230.0000.4760.0000.1761.0000.0001.000
공시차수1.0001.0000.0000.0000.0000.0000.0000.0001.0000.000
주소1.0001.0000.0000.0000.8950.0001.0001.0000.0001.000
2024-03-14T03:57:55.027053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
4년이상6년미만교사수설립유형
4년이상6년미만교사수1.0000.000
설립유형0.0001.000
2024-03-14T03:57:55.093561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수6년이상교사수공시차수설립유형4년이상6년미만교사수
1년미만교사수1.0000.1880.106-0.051-0.1360.2150.063
1년이상2년미만교사수0.1881.0000.2690.3090.0340.0000.085
2년이상4년미만교사수0.1060.2691.0000.0780.2250.2860.000
6년이상교사수-0.0510.3090.0781.0000.2150.1330.107
공시차수-0.1360.0340.2250.2151.0000.0000.000
설립유형0.2150.0000.2860.1330.0001.0000.000
4년이상6년미만교사수0.0630.0850.0000.1070.0000.0001.000

Missing values

2024-03-14T03:57:51.512524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T03:57:51.633381image/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
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)0020220232서울특별시 양천구 신월로 97
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)3010020232서울특별시 양천구 목동서로 340
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)4210220232서울특별시 양천구 신월로 99
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)2202020232서울특별시 양천구 안양천로 1009
4서울특별시교육청강서양천교육지원청1ecec08c-eec5-b044-e053-0a32095ab044솔샘유치원사립(사인)3120020182서울특별시 양천구 목동서로 130
5서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)2012020232서울특별시 양천구 목동중앙로 132
6서울특별시교육청강서양천교육지원청1ecec08c-ef9d-b044-e053-0a32095ab044솔밭유치원사립(사인)3100020182서울특별시 양천구 신월로10길 2-1
7서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)0243020232서울특별시 양천구 목동동로 350
8서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)0014020232서울특별시 양천구 목동중앙로 70
9서울특별시교육청강서양천교육지원청1ecec08c-f448-b044-e053-0a32095ab044대한유치원사립(사인)3000020202서울특별시 양천구 오목로13길 31
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
38서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)2421020232서울특별시 양천구 목동로 212
39서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)1013020232서울특별시 양천구 신정로 292
40서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)4060020232서울특별시 양천구 목동로3길 57
41서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)2011120232서울특별시 양천구 목동중앙북로8길 46
42서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)3440520232서울특별시 양천구 목동서로 280
43서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)2252120232서울특별시 양천구 오목로42길 13
44서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)1040020232서울특별시 양천구 오목로23길 24
45서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)3043020232서울특별시 양천구 오목로4길 8
46서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)0223120232서울특별시 양천구 목동동로1길 38
47서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)2080020232서울특별시 양천구 신정로7길 81-4