Overview

Dataset statistics

Number of variables11
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory92.4 B

Variable types

Categorical5
Text6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20624/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
건물층수 is highly overall correlated with 공시차수High correlation
공시차수 is highly overall correlated with 건물층수High correlation
공시차수 is highly imbalanced (52.5%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
건물전용면적 has unique valuesUnique

Reproduction

Analysis started2024-03-13 07:00:13.152483
Analysis finished2024-03-13 07:00:13.709319
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
서울특별시교육청
39 

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 39
100.0%

Length

2024-03-13T16:00:13.757371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:00:13.837558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 39
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동작관악교육지원청
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

Length

2024-03-13T16:00:13.913620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:00:13.986984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:14.153949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1404
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

Unique39 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2b-b044-e053-0a32095ab044
2nd row1ecec08c-ef06-b044-e053-0a32095ab044
3rd row1ecec08c-ef08-b044-e053-0a32095ab044
4th row1ecec08c-efc0-b044-e053-0a32095ab044
5th row1ecec08c-f124-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0571-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08fa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c8b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d68-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d69-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6a-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f8-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T16:00:14.444261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
56.0%
Lowercase Letter 462
32.9%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
28.8%
4 155
19.7%
3 87
 
11.1%
5 79
 
10.1%
8 63
 
8.0%
1 49
 
6.2%
9 47
 
6.0%
2 44
 
5.6%
6 20
 
2.5%
7 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
67.1%
Latin 462
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
24.0%
- 156
16.6%
4 155
16.5%
3 87
 
9.2%
5 79
 
8.4%
8 63
 
6.7%
1 49
 
5.2%
9 47
 
5.0%
2 44
 
4.7%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:14.644202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.7692308
Min length5

Characters and Unicode

Total characters303
Distinct characters63
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

Unique39 ?
Unique (%)100.0%

Sample

1st row한별유치원
2nd row동원유치원
3rd row서울관악초등학교병설유치원
4th row서울은천초등학교병설유치원
5th row서울신성초등학교병설유치원
ValueCountFrequency (%)
한별유치원 1
 
2.6%
애동유치원 1
 
2.6%
서울난곡초등학교병설유치원 1
 
2.6%
건영유치원 1
 
2.6%
해슬아유치원 1
 
2.6%
배꽃유치원 1
 
2.6%
새소슬유치원 1
 
2.6%
새싹유치원 1
 
2.6%
서울원당초등학교병설유치원 1
 
2.6%
명성유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T16:00:14.989423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

설립유형
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
사립(사인)
20 
공립(병설)
12 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
51.3%
공립(병설) 12
30.8%
공립(단설) 4
 
10.3%
사립(법인) 3
 
7.7%

Length

2024-03-13T16:00:15.105338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:00:15.197966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
51.3%
공립(병설 12
30.8%
공립(단설 4
 
10.3%
사립(법인 3
 
7.7%

건축년도
Text

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:15.351769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters195
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

Unique18 ?
Unique (%)46.2%

Sample

1st row1973년
2nd row1980년
3rd row1971년
4th row2012년
5th row1984년
ValueCountFrequency (%)
1973년 3
 
7.7%
1980년 3
 
7.7%
1985년 3
 
7.7%
1976년 2
 
5.1%
2004년 2
 
5.1%
1993년 2
 
5.1%
1971년 2
 
5.1%
2001년 2
 
5.1%
1997년 2
 
5.1%
2000년 1
 
2.6%
Other values (17) 17
43.6%
2024-03-13T16:00:15.612684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
년 39
20.0%
9 37
19.0%
1 34
17.4%
0 26
13.3%
8 16
8.2%
7 13
 
6.7%
2 13
 
6.7%
3 6
 
3.1%
5 4
 
2.1%
6 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
80.0%
Other Letter 39
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 37
23.7%
1 34
21.8%
0 26
16.7%
8 16
10.3%
7 13
 
8.3%
2 13
 
8.3%
3 6
 
3.8%
5 4
 
2.6%
6 4
 
2.6%
4 3
 
1.9%
Other Letter
ValueCountFrequency (%)
년 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
80.0%
Hangul 39
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 37
23.7%
1 34
21.8%
0 26
16.7%
8 16
10.3%
7 13
 
8.3%
2 13
 
8.3%
3 6
 
3.8%
5 4
 
2.6%
6 4
 
2.6%
4 3
 
1.9%
Hangul
ValueCountFrequency (%)
년 39
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
80.0%
Hangul 39
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
년 39
100.0%
ASCII
ValueCountFrequency (%)
9 37
23.7%
1 34
21.8%
0 26
16.7%
8 16
10.3%
7 13
 
8.3%
2 13
 
8.3%
3 6
 
3.8%
5 4
 
2.6%
6 4
 
2.6%
4 3
 
1.9%

건물층수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
지상2층/ 지하0층
10 
지상3층/ 지하1층
7 
지상2층/ 지하1층
6 
지상3층/ 지하0층
4 
지상1층/ 지하0층
4 
Other values (5)
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row지상3층/ 지하1층
2nd row지상3층/ 지하0층
3rd row지상1층/ 지하0층
4th row지상2층/ 지하0층
5th row지상3층/ 지하0층

Common Values

ValueCountFrequency (%)
지상2층/ 지하0층 10
25.6%
지상3층/ 지하1층 7
17.9%
지상2층/ 지하1층 6
15.4%
지상3층/ 지하0층 4
 
10.3%
지상1층/ 지하0층 4
 
10.3%
지상4층/ 지하1층 3
 
7.7%
지상4층/ 지하0층 2
 
5.1%
지상5층/ 지하1층 1
 
2.6%
지상3층/ 지하2층 1
 
2.6%
지상6층/ 지하1층 1
 
2.6%

Length

2024-03-13T16:00:15.722714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:00:15.823529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하0층 20
25.6%
지하1층 18
23.1%
지상2층 16
20.5%
지상3층 12
15.4%
지상4층 5
 
6.4%
지상1층 4
 
5.1%
지상5층 1
 
1.3%
지하2층 1
 
1.3%
지상6층 1
 
1.3%

건물전용면적
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:16.011409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4102564
Min length4

Characters and Unicode

Total characters172
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

Unique39 ?
Unique (%)100.0%

Sample

1st row399㎡
2nd row634㎡
3rd row1745㎡
4th row600㎡
5th row1315㎡
ValueCountFrequency (%)
399㎡ 1
 
2.6%
579㎡ 1
 
2.6%
1244㎡ 1
 
2.6%
3346㎡ 1
 
2.6%
1078㎡ 1
 
2.6%
561㎡ 1
 
2.6%
1405㎡ 1
 
2.6%
326㎡ 1
 
2.6%
1242㎡ 1
 
2.6%
417㎡ 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T16:00:16.353848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
22.7%
1 21
12.2%
3 17
9.9%
4 14
 
8.1%
2 13
 
7.6%
6 13
 
7.6%
7 12
 
7.0%
9 11
 
6.4%
0 11
 
6.4%
8 11
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
77.3%
Other Symbol 39
 
22.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
15.8%
3 17
12.8%
4 14
10.5%
2 13
9.8%
6 13
9.8%
7 12
9.0%
9 11
8.3%
0 11
8.3%
8 11
8.3%
5 10
7.5%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
22.7%
1 21
12.2%
3 17
9.9%
4 14
 
8.1%
2 13
 
7.6%
6 13
 
7.6%
7 12
 
7.0%
9 11
 
6.4%
0 11
 
6.4%
8 11
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
77.3%
CJK Compat 39
 
22.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
1 21
15.8%
3 17
12.8%
4 14
10.5%
2 13
9.8%
6 13
9.8%
7 12
9.0%
9 11
8.3%
0 11
8.3%
8 11
8.3%
5 10
7.5%

대지총면적
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:16.526342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.8974359
Min length4

Characters and Unicode

Total characters191
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

Unique35 ?
Unique (%)89.7%

Sample

1st row631㎡
2nd row625㎡
3rd row11604㎡
4th row11570㎡
5th row11910㎡
ValueCountFrequency (%)
986㎡ 2
 
5.1%
1625㎡ 2
 
5.1%
10680㎡ 1
 
2.6%
1708㎡ 1
 
2.6%
12381㎡ 1
 
2.6%
1405㎡ 1
 
2.6%
631㎡ 1
 
2.6%
328㎡ 1
 
2.6%
576㎡ 1
 
2.6%
18704㎡ 1
 
2.6%
Other values (27) 27
69.2%
2024-03-13T16:00:16.896599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
20.4%
1 33
17.3%
0 19
9.9%
2 18
9.4%
6 15
 
7.9%
5 14
 
7.3%
7 14
 
7.3%
8 13
 
6.8%
9 10
 
5.2%
3 10
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
79.6%
Other Symbol 39
 
20.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
21.7%
0 19
12.5%
2 18
11.8%
6 15
9.9%
5 14
9.2%
7 14
9.2%
8 13
 
8.6%
9 10
 
6.6%
3 10
 
6.6%
4 6
 
3.9%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
20.4%
1 33
17.3%
0 19
9.9%
2 18
9.4%
6 15
 
7.9%
5 14
 
7.3%
7 14
 
7.3%
8 13
 
6.8%
9 10
 
5.2%
3 10
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
79.6%
CJK Compat 39
 
20.4%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
1 33
21.7%
0 19
12.5%
2 18
11.8%
6 15
9.9%
5 14
9.2%
7 14
9.2%
8 13
 
8.6%
9 10
 
6.6%
3 10
 
6.6%
4 6
 
3.9%

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
20231
31 
20181
 
3
20191
 
3
20201
 
1
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

Length

2024-03-13T16:00:17.063040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:00:17.217324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T16:00:17.469300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.897436
Min length16

Characters and Unicode

Total characters698
Distinct characters63
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 관악구 남부순환로144길 65
2nd row서울특별시 관악구 행운1길 96
3rd row서울특별시 관악구 청룡4길 49
4th row서울특별시 관악구 은천로 69
5th row서울특별시 관악구 신림로 114
ValueCountFrequency (%)
서울특별시 39
25.0%
관악구 39
25.0%
은천로 3
 
1.9%
12 3
 
1.9%
청림5길 2
 
1.3%
22 2
 
1.3%
93 2
 
1.3%
20 2
 
1.3%
114 2
 
1.3%
광신길 1
 
0.6%
Other values (61) 61
39.1%
2024-03-13T16:00:17.875767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.8%
관 43
 
6.2%
악 43
 
6.2%
구 40
 
5.7%
서 39
 
5.6%
특 39
 
5.6%
별 39
 
5.6%
시 39
 
5.6%
울 39
 
5.6%
길 29
 
4.2%
Other values (53) 231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
65.5%
Decimal Number 123
 
17.6%
Space Separator 117
 
16.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
17.1%
2 20
16.3%
5 17
13.8%
4 16
13.0%
3 12
9.8%
6 10
8.1%
9 10
8.1%
0 8
 
6.5%
7 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
65.5%
Common 241
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Common
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
65.5%
ASCII 241
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%

Correlations

2024-03-13T16:00:17.959297image/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
설립유형1.0001.0001.0000.7020.5431.0000.0000.3330.000
건축년도1.0001.0000.7021.0000.7781.0000.8540.5020.979
건물층수1.0001.0000.5430.7781.0001.0000.9700.9451.000
건물전용면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
대지총면적1.0001.0000.0000.8540.9701.0001.0000.0000.999
공시차수1.0001.0000.3330.5020.9451.0000.0001.0000.000
주소1.0001.0000.0000.9791.0001.0000.9990.0001.000
2024-03-13T16:00:18.056785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수
건물층수1.0000.3150.626
설립유형0.3151.0000.269
공시차수0.6260.2691.000
2024-03-13T16:00:18.135623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건물층수공시차수
설립유형1.0000.3150.269
건물층수0.3151.0000.626
공시차수0.2690.6261.000

Missing values

2024-03-13T16:00:13.536111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:00:13.660887image/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
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)1973년지상3층/ 지하1층399㎡631㎡20231서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)1980년지상3층/ 지하0층634㎡625㎡20231서울특별시 관악구 행운1길 96
2서울특별시교육청동작관악교육지원청1ecec08c-ef08-b044-e053-0a32095ab044서울관악초등학교병설유치원공립(병설)1971년지상1층/ 지하0층1745㎡11604㎡20231서울특별시 관악구 청룡4길 49
3서울특별시교육청동작관악교육지원청1ecec08c-efc0-b044-e053-0a32095ab044서울은천초등학교병설유치원공립(병설)2012년지상2층/ 지하0층600㎡11570㎡20231서울특별시 관악구 은천로 69
4서울특별시교육청동작관악교육지원청1ecec08c-f124-b044-e053-0a32095ab044서울신성초등학교병설유치원공립(병설)1984년지상3층/ 지하0층1315㎡11910㎡20231서울특별시 관악구 신림로 114
5서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)2001년지상2층/ 지하0층816㎡413㎡20181서울특별시 관악구 관악로30길 12
6서울특별시교육청동작관악교육지원청1ecec08c-f1af-b044-e053-0a32095ab044현대유치원사립(사인)1993년지상2층/ 지하0층599㎡962㎡20231서울특별시 관악구 관악로40길 55
7서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)1978년지상3층/ 지하1층283㎡1270㎡20191서울특별시 관악구 신원로3길 59-9
8서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)2006년지상4층/ 지하0층189㎡235㎡20181서울특별시 관악구 낙성대역14길 6
9서울특별시교육청동작관악교육지원청1ecec08c-f5f1-b044-e053-0a32095ab044종인유치원사립(사인)1998년지상5층/ 지하1층33782㎡285220㎡20201서울특별시 관악구 솔밭로 20
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)1988년지상2층/ 지하1층1394㎡1773㎡20231서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)1987년지상4층/ 지하1층461㎡325㎡20231서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)1973년지상2층/ 지하0층726㎡11606㎡20231서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)2004년지상3층/ 지하1층708㎡788㎡20231서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)2005년지상3층/ 지하1층1050㎡1625㎡20231서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)2020년지상4층/ 지하1층2506㎡986㎡20231서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)1981년지상4층/ 지하0층234㎡10680㎡20231서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)1980년지상2층/ 지하0층510㎡500㎡20231서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)1985년지상1층/ 지하0층397㎡12381㎡20231서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)1970년지상2층/ 지하0층1089㎡15770㎡20231서울특별시 관악구 문성로28길 31