Overview

Dataset statistics

Number of variables11
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory91.6 B

Variable types

Categorical4
Text6
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20615/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 07:54:10.854653
Analysis finished2024-03-13 07:54:11.537111
Duration0.68 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

2024-03-13T16:54:11.586093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:54:11.707999image/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

2024-03-13T16:54:11.833972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:54:11.916580image/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
2024-03-13T16:54:12.077300image/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%
2024-03-13T16:54:12.375819image/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
2024-03-13T16:54:12.579905image/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%
2024-03-13T16:54:12.879502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
13.3%
50
 
13.1%
50
 
13.1%
20
 
5.2%
20
 
5.2%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
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 (%)
51
13.3%
50
 
13.1%
50
 
13.1%
20
 
5.2%
20
 
5.2%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
13.3%
50
 
13.1%
50
 
13.1%
20
 
5.2%
20
 
5.2%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
51
13.3%
50
 
13.1%
50
 
13.1%
20
 
5.2%
20
 
5.2%
13
 
3.4%
13
 
3.4%
13
 
3.4%
13
 
3.4%
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)
공립(단설)

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

2024-03-13T16:54:13.000710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:54:13.092952image/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%
Distinct33
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T16:54:13.267703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters250
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)46.0%

Sample

1st row1991년
2nd row2004년
3rd row1997년
4th row1989년
5th row2006년
ValueCountFrequency (%)
2012년 5
 
10.0%
2008년 4
 
8.0%
2013년 3
 
6.0%
2004년 3
 
6.0%
1973년 2
 
4.0%
1975년 2
 
4.0%
1966년 2
 
4.0%
1988년 2
 
4.0%
2002년 2
 
4.0%
1991년 2
 
4.0%
Other values (23) 23
46.0%
2024-03-13T16:54:13.525969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
20.0%
0 41
16.4%
1 41
16.4%
2 37
14.8%
9 32
12.8%
8 15
 
6.0%
7 10
 
4.0%
6 9
 
3.6%
3 6
 
2.4%
4 6
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
80.0%
Other Letter 50
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
20.5%
1 41
20.5%
2 37
18.5%
9 32
16.0%
8 15
 
7.5%
7 10
 
5.0%
6 9
 
4.5%
3 6
 
3.0%
4 6
 
3.0%
5 3
 
1.5%
Other Letter
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
80.0%
Hangul 50
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
20.5%
1 41
20.5%
2 37
18.5%
9 32
16.0%
8 15
 
7.5%
7 10
 
5.0%
6 9
 
4.5%
3 6
 
3.0%
4 6
 
3.0%
5 3
 
1.5%
Hangul
ValueCountFrequency (%)
50
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
80.0%
Hangul 50
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
100.0%
ASCII
ValueCountFrequency (%)
0 41
20.5%
1 41
20.5%
2 37
18.5%
9 32
16.0%
8 15
 
7.5%
7 10
 
5.0%
6 9
 
4.5%
3 6
 
3.0%
4 6
 
3.0%
5 3
 
1.5%

건물층수
Categorical

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
지상4층/ 지하1층
14 
지상3층/ 지하1층
10 
지상1층/ 지하0층
지상3층/ 지하0층
지상2층/ 지하0층
Other values (5)

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row지상4층/ 지하1층
2nd row지상1층/ 지하0층
3rd row지상3층/ 지하0층
4th row지상4층/ 지하1층
5th row지상5층/ 지하0층

Common Values

ValueCountFrequency (%)
지상4층/ 지하1층 14
28.0%
지상3층/ 지하1층 10
20.0%
지상1층/ 지하0층 8
16.0%
지상3층/ 지하0층 6
12.0%
지상2층/ 지하0층 6
12.0%
지상1층/ 지하1층 2
 
4.0%
지상5층/ 지하0층 1
 
2.0%
지상4층/ 지하0층 1
 
2.0%
지상5층/ 지하1층 1
 
2.0%
지상2층/ 지하1층 1
 
2.0%

Length

2024-03-13T16:54:13.634151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:54:13.728265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하1층 28
28.0%
지하0층 22
22.0%
지상3층 16
16.0%
지상4층 15
15.0%
지상1층 10
 
10.0%
지상2층 7
 
7.0%
지상5층 2
 
2.0%
Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T16:54:13.943998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.22
Min length4

Characters and Unicode

Total characters211
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row294㎡
2nd row341㎡
3rd row337㎡
4th row291㎡
5th row800㎡
ValueCountFrequency (%)
732㎡ 2
 
4.0%
464㎡ 1
 
2.0%
457㎡ 1
 
2.0%
382㎡ 1
 
2.0%
571㎡ 1
 
2.0%
1050㎡ 1
 
2.0%
1013㎡ 1
 
2.0%
369㎡ 1
 
2.0%
814㎡ 1
 
2.0%
324㎡ 1
 
2.0%
Other values (39) 39
78.0%
2024-03-13T16:54:14.240990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
23.7%
3 24
11.4%
1 22
10.4%
5 20
 
9.5%
7 17
 
8.1%
4 17
 
8.1%
2 15
 
7.1%
0 13
 
6.2%
9 11
 
5.2%
8 11
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
76.3%
Other Symbol 50
 
23.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
14.9%
1 22
13.7%
5 20
12.4%
7 17
10.6%
4 17
10.6%
2 15
9.3%
0 13
8.1%
9 11
6.8%
8 11
6.8%
6 11
6.8%
Other Symbol
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
50
23.7%
3 24
11.4%
1 22
10.4%
5 20
 
9.5%
7 17
 
8.1%
4 17
 
8.1%
2 15
 
7.1%
0 13
 
6.2%
9 11
 
5.2%
8 11
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
76.3%
CJK Compat 50
 
23.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
50
100.0%
ASCII
ValueCountFrequency (%)
3 24
14.9%
1 22
13.7%
5 20
12.4%
7 17
10.6%
4 17
10.6%
2 15
9.3%
0 13
8.1%
9 11
6.8%
8 11
6.8%
6 11
6.8%
Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T16:54:14.501492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.64
Min length4

Characters and Unicode

Total characters232
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row159㎡
2nd row13516㎡
3rd row374㎡
4th row367㎡
5th row474㎡
ValueCountFrequency (%)
1294㎡ 2
 
4.0%
693㎡ 2
 
4.0%
24158㎡ 1
 
2.0%
159㎡ 1
 
2.0%
1480㎡ 1
 
2.0%
959㎡ 1
 
2.0%
240㎡ 1
 
2.0%
18087㎡ 1
 
2.0%
10221㎡ 1
 
2.0%
940㎡ 1
 
2.0%
Other values (38) 38
76.0%
2024-03-13T16:54:14.932475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
21.6%
1 33
14.2%
6 21
9.1%
4 20
 
8.6%
3 19
 
8.2%
2 18
 
7.8%
0 18
 
7.8%
9 17
 
7.3%
7 14
 
6.0%
5 13
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
78.4%
Other Symbol 50
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
18.1%
6 21
11.5%
4 20
11.0%
3 19
10.4%
2 18
9.9%
0 18
9.9%
9 17
9.3%
7 14
7.7%
5 13
 
7.1%
8 9
 
4.9%
Other Symbol
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
50
21.6%
1 33
14.2%
6 21
9.1%
4 20
 
8.6%
3 19
 
8.2%
2 18
 
7.8%
0 18
 
7.8%
9 17
 
7.3%
7 14
 
6.0%
5 13
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
78.4%
CJK Compat 50
 
21.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
50
100.0%
ASCII
ValueCountFrequency (%)
1 33
18.1%
6 21
11.5%
4 20
11.0%
3 19
10.4%
2 18
9.9%
0 18
9.9%
9 17
9.3%
7 14
7.7%
5 13
 
7.1%
8 9
 
4.9%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.8
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T16:54:15.047235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120223.5
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077183854
Kurtosis1.342488
Mean20222.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011140
Variance243.63265
MonotonicityNot monotonic
2024-03-13T16:54:15.136767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 37
74.0%
20191 5
 
10.0%
20211 3
 
6.0%
20221 2
 
4.0%
20181 2
 
4.0%
20201 1
 
2.0%
ValueCountFrequency (%)
20181 2
 
4.0%
20191 5
 
10.0%
20201 1
 
2.0%
20211 3
 
6.0%
20221 2
 
4.0%
20231 37
74.0%
ValueCountFrequency (%)
20231 37
74.0%
20221 2
 
4.0%
20211 3
 
6.0%
20201 1
 
2.0%
20191 5
 
10.0%
20181 2
 
4.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T16:54:15.345176image/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%
2024-03-13T16:54:15.659876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
58
 
6.2%
57
 
6.1%
57
 
6.1%
50
 
5.3%
50
 
5.3%
50
 
5.3%
50
 
5.3%
50
 
5.3%
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 (%)
58
9.9%
57
9.7%
57
9.7%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
49
8.4%
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 (%)
58
9.9%
57
9.7%
57
9.7%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
49
8.4%
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 (%)
58
9.9%
57
9.7%
57
9.7%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
50
8.5%
49
8.4%
28
 
4.8%
Other values (23) 87
14.8%

Interactions

2024-03-13T16:54:11.262125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T16:54:15.761166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.2660.5940.9100.0000.1190.000
건축년도1.0001.0000.2661.0000.6400.9861.0000.6711.000
건물층수1.0001.0000.5940.6401.0000.7911.0000.0001.000
건물전용면적1.0001.0000.9100.9860.7911.0000.9891.0000.988
대지총면적1.0001.0000.0001.0001.0000.9891.0000.5711.000
공시차수1.0001.0000.1190.6710.0001.0000.5711.0000.000
주소1.0001.0000.0001.0001.0000.9881.0000.0001.000
2024-03-13T16:54:15.880284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형
건물층수1.0000.368
설립유형0.3681.000
2024-03-13T16:54:15.948919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형건물층수
공시차수1.0000.0470.000
설립유형0.0471.0000.368
건물층수0.0000.3681.000

Missing values

2024-03-13T16:54:11.354621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:54:11.488704image/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

교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
0서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)1991년지상4층/ 지하1층294㎡159㎡20221서울특별시 은평구 증산로21길 22
1서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)2004년지상1층/ 지하0층341㎡13516㎡20231서울특별시 은평구 연서로35길 37
2서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)1997년지상3층/ 지하0층337㎡374㎡20181서울특별시 은평구 갈현로33길 24
3서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)1989년지상4층/ 지하1층291㎡367㎡20231서울특별시 은평구 응암로14길 21
4서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)2006년지상5층/ 지하0층800㎡474㎡20231서울특별시 은평구 연서로27길 23
5서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)1998년지상4층/ 지하0층654㎡654㎡20231서울특별시 은평구 증산서길 53-9
6서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)2010년지상1층/ 지하0층588㎡10050㎡20231서울특별시 은평구 진관1로 77-23
7서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)2012년지상4층/ 지하1층1743㎡630㎡20231서울특별시 은평구 진관2로 111-16
8서울특별시교육청서부교육지원청1ecec08c-f13c-b044-e053-0a32095ab044서울은빛유치원공립(단설)2012년지상4층/ 지하1층1417㎡1813㎡20231서울특별시 은평구 진관3로 73-11
9서울특별시교육청서부교육지원청1ecec08c-f19a-b044-e053-0a32095ab044선일유치원사립(법인)1967년지상3층/ 지하0층667㎡1335㎡20231서울특별시 은평구 갈현로29길 27
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)1966년지상4층/ 지하1층868㎡929㎡20231서울특별시 은평구 통일로 790-1
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)2012년지상3층/ 지하1층1380㎡627㎡20231서울특별시 은평구 진관2로 37
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)1986년지상2층/ 지하0층352㎡397㎡20231서울특별시 은평구 불광로 107
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)2021년지상2층/ 지하0층476㎡17421㎡20231서울특별시 은평구 불광로 51
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)2008년지상1층/ 지하0층502㎡16420㎡20231서울특별시 은평구 가좌로6길 20
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)2022년지상3층/ 지하1층732㎡569㎡20231서울특별시 은평구 은평로16길 9-1
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)2012년지상4층/ 지하1층1230㎡1294㎡20231서울특별시 은평구 진관4로 93
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)2013년지상3층/ 지하0층973㎡693㎡20231서울특별시 은평구 진관1로 77-15
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)2018년지상4층/ 지하1층569㎡6501㎡20231서울특별시 은평구 통일로 650
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)1975년지상4층/ 지하1층1035㎡1726㎡20231서울특별시 은평구 진흥로7길 25