Overview

Dataset statistics

Number of variables12
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory104.6 B

Variable types

Categorical4
Text3
Numeric5

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20765/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 18 (36.0%) zerosZeros
1년이상2년미만교사수 has 25 (50.0%) zerosZeros
2년이상4년미만교사수 has 15 (30.0%) zerosZeros
6년이상교사수 has 31 (62.0%) zerosZeros

Reproduction

Analysis started2024-03-13 06:12:18.016144
Analysis finished2024-03-13 06:12:21.204315
Duration3.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시교육청
50 

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 50
100.0%

Length

2024-03-13T15:12:21.263858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:12:21.371353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 50
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서부교육지원청
50 

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 50
100.0%

Length

2024-03-13T15:12:21.560021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:12:21.663195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 50
100.0%

유치원코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:12:21.852377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
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

Unique50 ?
Unique (%)100.0%

Sample

1st row0783b5eb-4c00-4161-9c47-664336825e5a
2nd row1ecec08c-ed16-b044-e053-0a32095ab044
3rd row1ecec08c-ed89-b044-e053-0a32095ab044
4th row1ecec08c-ee12-b044-e053-0a32095ab044
5th row1ecec08c-ee13-b044-e053-0a32095ab044
ValueCountFrequency (%)
0783b5eb-4c00-4161-9c47-664336825e5a 1
 
2.0%
1ecec08d-06b5-b044-e053-0a32095ab044 1
 
2.0%
e120b286-7861-486d-9b3f-f3c7b49f3c1c 1
 
2.0%
1ecec08d-015d-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-015f-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-029e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-02b1-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-041e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ab-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ac-b044-e053-0a32095ab044 1
 
2.0%
Other values (40) 40
80.0%
2024-03-13T15:12:22.260898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
56.6%
Lowercase Letter 581
32.3%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
28.0%
4 202
19.8%
5 106
 
10.4%
3 105
 
10.3%
1 78
 
7.7%
9 70
 
6.9%
8 62
 
6.1%
2 62
 
6.1%
7 26
 
2.6%
6 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1219
67.7%
Latin 581
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
23.4%
4 202
16.6%
- 200
16.4%
5 106
 
8.7%
3 105
 
8.6%
1 78
 
6.4%
9 70
 
5.7%
8 62
 
5.1%
2 62
 
5.1%
7 26
 
2.1%
Latin
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

유치원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:12:22.519037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.66
Min length4

Characters and Unicode

Total characters383
Distinct characters83
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

Unique50 ?
Unique (%)100.0%

Sample

1st row다우림유치원
2nd row서울연광초등학교병설유치원
3rd row궁전유치원
4th row성아유치원
5th row성균관유치원
ValueCountFrequency (%)
다우림유치원 1
 
2.0%
다우림명문유치원 1
 
2.0%
서울어울초등학교병설유치원 1
 
2.0%
백합유치원 1
 
2.0%
보림유치원 1
 
2.0%
서울수색초등학교병설유치원 1
 
2.0%
서울연신초등학교병설유치원 1
 
2.0%
엔젤유치원 1
 
2.0%
서문유치원 1
 
2.0%
서울은평초등학교병설유치원 1
 
2.0%
Other values (40) 40
80.0%
2024-03-13T15:12:22.909824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

설립유형
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사립(사인)
24 
공립(병설)
13 
사립(법인)
8 
공립(단설)
5 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 24
48.0%
공립(병설) 13
26.0%
사립(법인) 8
 
16.0%
공립(단설) 5
 
10.0%

Length

2024-03-13T15:12:23.042897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:12:23.144537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 24
48.0%
공립(병설 13
26.0%
사립(법인 8
 
16.0%
공립(단설 5
 
10.0%

1년미만교사수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.16
Minimum0
Maximum14
Zeros18
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:12:23.260161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.1
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8238055
Coefficient of variation (CV)1.3073174
Kurtosis6.0458796
Mean2.16
Median Absolute Deviation (MAD)1
Skewness2.1698291
Sum108
Variance7.9738776
MonotonicityNot monotonic
2024-03-13T15:12:23.372947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 18
36.0%
1 10
20.0%
3 7
 
14.0%
2 4
 
8.0%
4 4
 
8.0%
5 3
 
6.0%
8 1
 
2.0%
10 1
 
2.0%
14 1
 
2.0%
6 1
 
2.0%
ValueCountFrequency (%)
0 18
36.0%
1 10
20.0%
2 4
 
8.0%
3 7
 
14.0%
4 4
 
8.0%
5 3
 
6.0%
6 1
 
2.0%
8 1
 
2.0%
10 1
 
2.0%
14 1
 
2.0%
ValueCountFrequency (%)
14 1
 
2.0%
10 1
 
2.0%
8 1
 
2.0%
6 1
 
2.0%
5 3
 
6.0%
4 4
 
8.0%
3 7
 
14.0%
2 4
 
8.0%
1 10
20.0%
0 18
36.0%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98
Minimum0
Maximum5
Zeros25
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:12:23.485619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.75
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.3013337
Coefficient of variation (CV)1.3278915
Kurtosis1.4293468
Mean0.98
Median Absolute Deviation (MAD)0.5
Skewness1.4274711
Sum49
Variance1.6934694
MonotonicityNot monotonic
2024-03-13T15:12:23.587673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
50.0%
1 12
24.0%
2 7
 
14.0%
4 3
 
6.0%
3 2
 
4.0%
5 1
 
2.0%
ValueCountFrequency (%)
0 25
50.0%
1 12
24.0%
2 7
 
14.0%
3 2
 
4.0%
4 3
 
6.0%
5 1
 
2.0%
ValueCountFrequency (%)
5 1
 
2.0%
4 3
 
6.0%
3 2
 
4.0%
2 7
 
14.0%
1 12
24.0%
0 25
50.0%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.66
Minimum0
Maximum9
Zeros15
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:12:23.737657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.55
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9960164
Coefficient of variation (CV)1.2024195
Kurtosis3.3998421
Mean1.66
Median Absolute Deviation (MAD)1
Skewness1.8073597
Sum83
Variance3.9840816
MonotonicityNot monotonic
2024-03-13T15:12:23.873149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 18
36.0%
0 15
30.0%
2 6
 
12.0%
3 3
 
6.0%
4 3
 
6.0%
5 2
 
4.0%
6 1
 
2.0%
7 1
 
2.0%
9 1
 
2.0%
ValueCountFrequency (%)
0 15
30.0%
1 18
36.0%
2 6
 
12.0%
3 3
 
6.0%
4 3
 
6.0%
5 2
 
4.0%
6 1
 
2.0%
7 1
 
2.0%
9 1
 
2.0%
ValueCountFrequency (%)
9 1
 
2.0%
7 1
 
2.0%
6 1
 
2.0%
5 2
 
4.0%
4 3
 
6.0%
3 3
 
6.0%
2 6
 
12.0%
1 18
36.0%
0 15
30.0%

4년이상6년미만교사수
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
24 
1
9 
3
7 
2
7 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
48.0%
1 9
 
18.0%
3 7
 
14.0%
2 7
 
14.0%
4 3
 
6.0%

Length

2024-03-13T15:12:24.004427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:12:24.117305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
48.0%
1 9
 
18.0%
3 7
 
14.0%
2 7
 
14.0%
4 3
 
6.0%

6년이상교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84
Minimum0
Maximum5
Zeros31
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:12:24.226282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.3149067
Coefficient of variation (CV)1.5653651
Kurtosis1.8253647
Mean0.84
Median Absolute Deviation (MAD)0
Skewness1.5977717
Sum42
Variance1.7289796
MonotonicityNot monotonic
2024-03-13T15:12:24.337616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 31
62.0%
2 8
 
16.0%
1 6
 
12.0%
4 3
 
6.0%
3 1
 
2.0%
5 1
 
2.0%
ValueCountFrequency (%)
0 31
62.0%
1 6
 
12.0%
2 8
 
16.0%
3 1
 
2.0%
4 3
 
6.0%
5 1
 
2.0%
ValueCountFrequency (%)
5 1
 
2.0%
4 3
 
6.0%
3 1
 
2.0%
2 8
 
16.0%
1 6
 
12.0%
0 31
62.0%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.8
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:12:24.453671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20192
Q120224.5
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077180038
Kurtosis1.342488
Mean20223.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011190
Variance243.63265
MonotonicityNot monotonic
2024-03-13T15:12:24.572472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 37
74.0%
20192 5
 
10.0%
20212 3
 
6.0%
20222 2
 
4.0%
20182 2
 
4.0%
20202 1
 
2.0%
ValueCountFrequency (%)
20182 2
 
4.0%
20192 5
 
10.0%
20202 1
 
2.0%
20212 3
 
6.0%
20222 2
 
4.0%
20232 37
74.0%
ValueCountFrequency (%)
20232 37
74.0%
20222 2
 
4.0%
20212 3
 
6.0%
20202 1
 
2.0%
20192 5
 
10.0%
20182 2
 
4.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:12:24.843554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.74
Min length16

Characters and Unicode

Total characters937
Distinct characters45
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

Unique44 ?
Unique (%)88.0%

Sample

1st row서울특별시 은평구 증산로21길 22
2nd row서울특별시 은평구 연서로35길 37
3rd row서울특별시 은평구 갈현로33길 24
4th row서울특별시 은평구 응암로14길 21
5th row서울특별시 은평구 연서로27길 23
ValueCountFrequency (%)
서울특별시 50
25.0%
은평구 50
25.0%
진관4로 3
 
1.5%
진관1로 3
 
1.5%
통일로 3
 
1.5%
갈현로 3
 
1.5%
21 2
 
1.0%
은평로16길 2
 
1.0%
20 2
 
1.0%
22 2
 
1.0%
Other values (69) 80
40.0%
2024-03-13T15:12:25.247321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
서 58
 
6.2%
은 57
 
6.1%
평 57
 
6.1%
울 50
 
5.3%
특 50
 
5.3%
별 50
 
5.3%
시 50
 
5.3%
구 50
 
5.3%
로 49
 
5.2%
Other values (35) 316
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
62.5%
Decimal Number 185
 
19.7%
Space Separator 150
 
16.0%
Dash Punctuation 16
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.9%
2 29
15.7%
3 25
13.5%
7 22
11.9%
5 19
10.3%
4 13
 
7.0%
0 10
 
5.4%
9 9
 
4.9%
6 9
 
4.9%
8 3
 
1.6%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
62.5%
Common 351
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Common
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
62.5%
ASCII 351
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%

Interactions

2024-03-13T15:12:20.244874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.421184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.906591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.401088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.830577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.330666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.523528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.999765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.485374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.919629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.410069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.615918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.080703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.574775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.002636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.491242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.707206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.198049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.661537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.079885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.569863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:18.806744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.315422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:19.748178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:12:20.154804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:12:25.350048image/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
설립유형1.0001.0001.0000.0000.3350.3760.1600.2940.1190.000
1년미만교사수1.0001.0000.0001.0000.4030.3350.3840.0000.0000.922
1년이상2년미만교사수1.0001.0000.3350.4031.0000.2980.0910.3850.0000.880
2년이상4년미만교사수1.0001.0000.3760.3350.2981.0000.2290.5300.0000.000
4년이상6년미만교사수1.0001.0000.1600.3840.0910.2291.0000.0000.1510.000
6년이상교사수1.0001.0000.2940.0000.3850.5300.0001.0000.0000.940
공시차수1.0001.0000.1190.0000.0000.0000.1510.0001.0000.000
주소1.0001.0000.0000.9220.8800.0000.0000.9400.0001.000
2024-03-13T15:12:25.486512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
4년이상6년미만교사수설립유형
4년이상6년미만교사수1.0000.123
설립유형0.1231.000
2024-03-13T15:12:25.598118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수6년이상교사수공시차수설립유형4년이상6년미만교사수
1년미만교사수1.0000.4270.0500.0010.0320.0000.233
1년이상2년미만교사수0.4271.0000.2130.0930.0710.2120.038
2년이상4년미만교사수0.0500.2131.0000.0730.0260.2280.113
6년이상교사수0.0010.0930.0731.000-0.2130.1830.000
공시차수0.0320.0710.026-0.2131.0000.0470.000
설립유형0.0000.2120.2280.1830.0471.0000.123
4년이상6년미만교사수0.2330.0380.1130.0000.0000.1231.000

Missing values

2024-03-13T15:12:20.964413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:12:21.129601image/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
0서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)1023020222서울특별시 은평구 증산로21길 22
1서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)1110020232서울특별시 은평구 연서로35길 37
2서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)2010220182서울특별시 은평구 갈현로33길 24
3서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)0123020232서울특별시 은평구 응암로14길 21
4서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)4060220232서울특별시 은평구 연서로27길 23
5서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)4230020232서울특별시 은평구 증산서길 53-9
6서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)2010020232서울특별시 은평구 진관1로 77-23
7서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)1024020232서울특별시 은평구 진관2로 111-16
8서울특별시교육청서부교육지원청1ecec08c-f13c-b044-e053-0a32095ab044서울은빛유치원공립(단설)2231020232서울특별시 은평구 진관3로 73-11
9서울특별시교육청서부교육지원청1ecec08c-f19a-b044-e053-0a32095ab044선일유치원사립(법인)0010420232서울특별시 은평구 갈현로29길 27
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)1310020232서울특별시 은평구 통일로 790-1
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)6142420232서울특별시 은평구 진관2로 37
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)0000220232서울특별시 은평구 불광로 107
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)0120020232서울특별시 은평구 불광로 51
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)0103020232서울특별시 은평구 가좌로6길 20
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)4000020232서울특별시 은평구 은평로16길 9-1
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)0150020232서울특별시 은평구 진관4로 93
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)0090020232서울특별시 은평구 진관1로 77-15
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)0003020232서울특별시 은평구 통일로 650
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)1002020232서울특별시 은평구 진흥로7길 25