Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory188.5 B

Variable types

Categorical15
Text7
Boolean1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,실내공기질 점검일자,실내공기질 점검결과,정기소독 의무대상시설여부,정기소독 점검일자,정기소독 점검결과,음용수종류(먹는샘물(생수)),음용수종류(정수기),음용수종류(상수도),음용수종류(지하수),지하수사용시 수질 검사여부,지하수사용시 검사일자,지하수사용시 검사결과,미세먼지 검사일자,미세먼지 검사결과,조도관리 검사일자,조도관리 검사결과,공시차수,주소
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20783/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
음용수종류(지하수) has constant value ""Constant
지하수사용시 검사결과 has constant value ""Constant
미세먼지 검사결과 has constant value ""Constant
조도관리 검사결과 has constant value ""Constant
실내공기질 점검결과 is highly imbalanced (82.4%)Imbalance
정기소독 의무대상시설여부 is highly imbalanced (60.2%)Imbalance
정기소독 점검결과 is highly imbalanced (70.3%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (70.3%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:10:49.344238
Analysis finished2024-03-13 13:10:49.724142
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-13T22:10:49.845361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:50.012637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
성동광진교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

Length

2024-03-13T22:10:50.201082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:50.330264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:50.528464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-eee1-b044-e053-0a32095ab044
2nd row1ecec08c-eee2-b044-e053-0a32095ab044
3rd row1ecec08c-eee3-b044-e053-0a32095ab044
4th row1ecec08c-eee4-b044-e053-0a32095ab044
5th row1ecec08c-f0da-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-eee1-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-066f-b044-e053-0a32095ab044 1
 
2.6%
ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952 1
 
2.6%
1ecec08d-0077-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0078-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0248-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-02a6-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0341-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04b5-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0840-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T22:10:50.928556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
56.5%
Lowercase Letter 443
32.4%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
31.2%
4 152
19.7%
3 84
 
10.9%
5 82
 
10.6%
8 48
 
6.2%
1 46
 
6.0%
2 45
 
5.8%
9 44
 
5.7%
7 19
 
2.5%
6 12
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 925
67.6%
Latin 443
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
26.1%
- 152
16.4%
4 152
16.4%
3 84
 
9.1%
5 82
 
8.9%
8 48
 
5.2%
1 46
 
5.0%
2 45
 
4.9%
9 44
 
4.8%
7 19
 
2.1%
Latin
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:51.176208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters266
Distinct characters62
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

Unique38 ?
Unique (%)100.0%

Sample

1st row선경유치원
2nd row성산유치원
3rd row자양유치원
4th row프라임유치원
5th row서울자양초등학교병설유치원
ValueCountFrequency (%)
선경유치원 1
 
2.6%
서울신자초등학교병설유치원 1
 
2.6%
서울용곡초등학교병설유치원 1
 
2.6%
선화유치원 1
 
2.6%
청구이화유치원 1
 
2.6%
동심유치원 1
 
2.6%
아이조아유치원 1
 
2.6%
경원유치원 1
 
2.6%
인애유치원 1
 
2.6%
한일유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T22:10:51.584912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
15.0%
38
14.3%
38
14.3%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
Other values (52) 94
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
15.0%
38
14.3%
38
14.3%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
Other values (52) 94
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
15.0%
38
14.3%
38
14.3%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
Other values (52) 94
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
15.0%
38
14.3%
38
14.3%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
Other values (52) 94
35.3%

설립유형
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
23 
공립(병설)
사립(법인)

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 23
60.5%
공립(병설) 8
 
21.1%
사립(법인) 7
 
18.4%

Length

2024-03-13T22:10:51.734636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:51.836692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 23
60.5%
공립(병설 8
 
21.1%
사립(법인 7
 
18.4%
Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:52.035780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8157895
Min length1

Characters and Unicode

Total characters297
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)60.5%

Sample

1st row20230822
2nd row20230508
3rd row20200805
4th row20230530
5th row20230621
ValueCountFrequency (%)
20230508 3
 
7.9%
20230912 2
 
5.3%
20180808 2
 
5.3%
20230406 2
 
5.3%
20230327 2
 
5.3%
20230530 2
 
5.3%
20230718 2
 
5.3%
20230310 1
 
2.6%
20230405 1
 
2.6%
20220622 1
 
2.6%
Other values (20) 20
52.6%
2024-03-13T22:10:52.422425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
30.3%
2 88
29.6%
3 32
 
10.8%
1 25
 
8.4%
8 15
 
5.1%
5 12
 
4.0%
9 11
 
3.7%
7 8
 
2.7%
4 8
 
2.7%
6 7
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
30.4%
2 88
29.7%
3 32
 
10.8%
1 25
 
8.4%
8 15
 
5.1%
5 12
 
4.1%
9 11
 
3.7%
7 8
 
2.7%
4 8
 
2.7%
6 7
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
30.3%
2 88
29.6%
3 32
 
10.8%
1 25
 
8.4%
8 15
 
5.1%
5 12
 
4.0%
9 11
 
3.7%
7 8
 
2.7%
4 8
 
2.7%
6 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
30.3%
2 88
29.6%
3 32
 
10.8%
1 25
 
8.4%
8 15
 
5.1%
5 12
 
4.0%
9 11
 
3.7%
7 8
 
2.7%
4 8
 
2.7%
6 7
 
2.4%

실내공기질 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
적합
37 
미실시
 
1

Length

Max length3
Median length2
Mean length2.0263158
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
적합 37
97.4%
미실시 1
 
2.6%

Length

2024-03-13T22:10:52.571322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:52.688202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 37
97.4%
미실시 1
 
2.6%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
35 
False
 
3
ValueCountFrequency (%)
True 35
92.1%
False 3
 
7.9%
2024-03-13T22:10:52.790640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:52.988255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6315789
Min length1

Characters and Unicode

Total characters290
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)73.7%

Sample

1st row20230826
2nd row20230911
3rd row20201021
4th row20230909
5th row20230805
ValueCountFrequency (%)
20230916 2
 
5.3%
20230906 2
 
5.3%
20230825 2
 
5.3%
2
 
5.3%
20230911 2
 
5.3%
20230828 1
 
2.6%
20230612 1
 
2.6%
20230312 1
 
2.6%
20220913 1
 
2.6%
20220929 1
 
2.6%
Other values (23) 23
60.5%
2024-03-13T22:10:53.388772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 91
31.4%
0 84
29.0%
3 32
 
11.0%
9 25
 
8.6%
1 23
 
7.9%
6 12
 
4.1%
8 11
 
3.8%
5 6
 
2.1%
- 2
 
0.7%
4 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
99.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
31.6%
0 84
29.2%
3 32
 
11.1%
9 25
 
8.7%
1 23
 
8.0%
6 12
 
4.2%
8 11
 
3.8%
5 6
 
2.1%
4 2
 
0.7%
7 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 91
31.4%
0 84
29.0%
3 32
 
11.0%
9 25
 
8.6%
1 23
 
7.9%
6 12
 
4.1%
8 11
 
3.8%
5 6
 
2.1%
- 2
 
0.7%
4 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 91
31.4%
0 84
29.0%
3 32
 
11.0%
9 25
 
8.6%
1 23
 
7.9%
6 12
 
4.1%
8 11
 
3.8%
5 6
 
2.1%
- 2
 
0.7%
4 2
 
0.7%

정기소독 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
실시
36 
미실시
 
2

Length

Max length3
Median length2
Mean length2.0526316
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 36
94.7%
미실시 2
 
5.3%

Length

2024-03-13T22:10:53.556848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:53.674019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 36
94.7%
미실시 2
 
5.3%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
31 
O

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd row-
3rd row-
4th rowO
5th row-

Common Values

ValueCountFrequency (%)
- 31
81.6%
O 7
 
18.4%

Length

2024-03-13T22:10:53.761773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:53.856735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31
81.6%
o 7
 
18.4%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
O
27 
-
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd rowO
3rd rowO
4th row-
5th rowO

Common Values

ValueCountFrequency (%)
O 27
71.1%
- 11
28.9%

Length

2024-03-13T22:10:53.976266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:54.078262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 27
71.1%
11
28.9%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
27 
O
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd rowO
3rd row-
4th rowO
5th row-

Common Values

ValueCountFrequency (%)
- 27
71.1%
O 11
28.9%

Length

2024-03-13T22:10:54.174062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:54.301009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27
71.1%
o 11
28.9%

음용수종류(지하수)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 38
100.0%

Length

2024-03-13T22:10:54.401583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:54.486607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
N
36 
-
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 36
94.7%
- 2
 
5.3%

Length

2024-03-13T22:10:54.575944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:54.683181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 36
94.7%
2
 
5.3%
Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
27 
-
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row-
4th row
5th row

Common Values

ValueCountFrequency (%)
27
71.1%
- 11
28.9%

Length

2024-03-13T22:10:54.778849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:54.873955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11
100.0%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 38
100.0%

Length

2024-03-13T22:10:54.963726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:55.054616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%
Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:55.211825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8157895
Min length1

Characters and Unicode

Total characters297
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)60.5%

Sample

1st row20230904
2nd row20230508
3rd row20200522
4th row20230530
5th row20230324
ValueCountFrequency (%)
20230508 3
 
7.9%
20230718 2
 
5.3%
20180808 2
 
5.3%
20230406 2
 
5.3%
20230327 2
 
5.3%
20230530 2
 
5.3%
20230324 2
 
5.3%
20230504 1
 
2.6%
20230405 1
 
2.6%
20220906 1
 
2.6%
Other values (20) 20
52.6%
2024-03-13T22:10:55.555591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
30.6%
2 87
29.3%
3 34
 
11.4%
1 22
 
7.4%
9 14
 
4.7%
8 13
 
4.4%
5 12
 
4.0%
4 9
 
3.0%
7 8
 
2.7%
6 6
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
30.7%
2 87
29.4%
3 34
 
11.5%
1 22
 
7.4%
9 14
 
4.7%
8 13
 
4.4%
5 12
 
4.1%
4 9
 
3.0%
7 8
 
2.7%
6 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
30.6%
2 87
29.3%
3 34
 
11.4%
1 22
 
7.4%
9 14
 
4.7%
8 13
 
4.4%
5 12
 
4.0%
4 9
 
3.0%
7 8
 
2.7%
6 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
30.6%
2 87
29.3%
3 34
 
11.4%
1 22
 
7.4%
9 14
 
4.7%
8 13
 
4.4%
5 12
 
4.0%
4 9
 
3.0%
7 8
 
2.7%
6 6
 
2.0%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 38
100.0%

Length

2024-03-13T22:10:55.707390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:55.807761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%
Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:55.983587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.4473684
Min length1

Characters and Unicode

Total characters283
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)57.9%

Sample

1st row20230822
2nd row20230508
3rd row-
4th row20230530
5th row20230621
ValueCountFrequency (%)
3
 
7.9%
20230508 3
 
7.9%
20230327 2
 
5.3%
20230530 2
 
5.3%
20230718 2
 
5.3%
20230406 2
 
5.3%
20220615 2
 
5.3%
20230915 1
 
2.6%
20230920 1
 
2.6%
20230504 1
 
2.6%
Other values (19) 19
50.0%
2024-03-13T22:10:56.314306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 84
29.7%
0 83
29.3%
3 33
 
11.7%
1 23
 
8.1%
5 12
 
4.2%
8 11
 
3.9%
9 10
 
3.5%
7 9
 
3.2%
4 8
 
2.8%
6 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
98.9%
Dash Punctuation 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 84
30.0%
0 83
29.6%
3 33
 
11.8%
1 23
 
8.2%
5 12
 
4.3%
8 11
 
3.9%
9 10
 
3.6%
7 9
 
3.2%
4 8
 
2.9%
6 7
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 84
29.7%
0 83
29.3%
3 33
 
11.7%
1 23
 
8.1%
5 12
 
4.2%
8 11
 
3.9%
9 10
 
3.5%
7 9
 
3.2%
4 8
 
2.8%
6 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 84
29.7%
0 83
29.3%
3 33
 
11.7%
1 23
 
8.1%
5 12
 
4.2%
8 11
 
3.9%
9 10
 
3.5%
7 9
 
3.2%
4 8
 
2.8%
6 7
 
2.5%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 38
100.0%

Length

2024-03-13T22:10:56.474669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:56.578939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

공시차수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
25 
20192
20222
20182
20202
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20232
2nd row20232
3rd row20202
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 25
65.8%
20192 4
 
10.5%
20222 4
 
10.5%
20182 3
 
7.9%
20202 2
 
5.3%

Length

2024-03-13T22:10:56.688007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:10:56.806051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 25
65.8%
20192 4
 
10.5%
20222 4
 
10.5%
20182 3
 
7.9%
20202 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T22:10:57.021719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.052632
Min length16

Characters and Unicode

Total characters724
Distinct characters52
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 뚝섬로66길 14
2nd row서울특별시 광진구 뚝섬로59길 18
3rd row서울특별시 광진구 자양로5길 36
4th row서울특별시 광진구 광나루로56길 5
5th row서울특별시 광진구 아차산로44길 26
ValueCountFrequency (%)
서울특별시 38
25.0%
광진구 38
25.0%
영화사로 2
 
1.3%
광나루로 2
 
1.3%
65 2
 
1.3%
아차산로 2
 
1.3%
군자로12길 1
 
0.7%
능동로4길 1
 
0.7%
89 1
 
0.7%
긴고랑로7길 1
 
0.7%
Other values (64) 64
42.1%
2024-03-13T22:10:57.415490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.7%
43
 
5.9%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
Other values (42) 263
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
64.1%
Decimal Number 140
 
19.3%
Space Separator 114
 
15.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
9.3%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
26
 
5.6%
Other values (30) 91
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
16.4%
5 22
15.7%
4 19
13.6%
2 19
13.6%
6 17
12.1%
3 12
8.6%
0 9
 
6.4%
7 8
 
5.7%
9 6
 
4.3%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
64.1%
Common 260
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
9.3%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
26
 
5.6%
Other values (30) 91
19.6%
Common
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
64.1%
ASCII 260
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
43
9.3%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
38
8.2%
26
 
5.6%
Other values (30) 91
19.6%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청성동광진교육지원청1ecec08c-eee1-b044-e053-0a32095ab044선경유치원사립(법인)20230822적합Y20230826실시O---N-20230904-20230822-20232서울특별시 광진구 뚝섬로66길 14
1서울특별시교육청성동광진교육지원청1ecec08c-eee2-b044-e053-0a32095ab044성산유치원사립(법인)20230508적합Y20230911실시-OO-N-20230508-20230508-20232서울특별시 광진구 뚝섬로59길 18
2서울특별시교육청성동광진교육지원청1ecec08c-eee3-b044-e053-0a32095ab044자양유치원사립(사인)20200805적합Y20201021실시-O--N--20200522---20202서울특별시 광진구 자양로5길 36
3서울특별시교육청성동광진교육지원청1ecec08c-eee4-b044-e053-0a32095ab044프라임유치원사립(사인)20230530적합Y20230909실시O-O-N-20230530-20230530-20232서울특별시 광진구 광나루로56길 5
4서울특별시교육청성동광진교육지원청1ecec08c-f0da-b044-e053-0a32095ab044서울자양초등학교병설유치원공립(병설)20230621적합Y20230805실시-O--N-20230324-20230621-20232서울특별시 광진구 아차산로44길 26
5서울특별시교육청성동광진교육지원청1ecec08c-f1c6-b044-e053-0a32095ab044광남유치원사립(사인)20230718적합Y20230926실시-O--N-20230718-20230718-20232서울특별시 광진구 아차산로70길 40
6서울특별시교육청성동광진교육지원청1ecec08c-f331-b044-e053-0a32095ab044어린이회관유치원사립(법인)20220419적합Y20230912실시-O--N-20230901-20230904-20232서울특별시 광진구 광나루로 441
7서울특별시교육청성동광진교육지원청1ecec08c-f332-b044-e053-0a32095ab044영화유치원사립(사인)20230508적합Y20230922실시OO--N-20230508-20230508-20232서울특별시 광진구 영화사로 105
8서울특별시교육청성동광진교육지원청1ecec08c-f504-b044-e053-0a32095ab044동인유치원사립(사인)20180808적합Y-미실시OO--N--20180808-20180808-20182서울특별시 광진구 자양로30길 6
9서울특별시교육청성동광진교육지원청1ecec08c-f562-b044-e053-0a32095ab044예일유치원사립(사인)20181127적합Y20190905실시--O-N--20181127-20181127-20192서울특별시 광진구 천호대로111길 41
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
28서울특별시교육청성동광진교육지원청1ecec08d-0754-b044-e053-0a32095ab044경하유치원사립(사인)-미실시N20150616실시-O--N------20182서울특별시 광진구 동일로72길 9
29서울특별시교육청성동광진교육지원청1ecec08d-0840-b044-e053-0a32095ab044한일유치원사립(사인)20230406적합Y20230906실시-O--N-20230406-20230406-20232서울특별시 광진구 뚝섬로35길 16-20
30서울특별시교육청성동광진교육지원청1ecec08d-0adc-b044-e053-0a32095ab044미파유치원사립(사인)20190719적합Y20190830실시-O--N--20190719-20190719-20192서울특별시 광진구 용마산로 185
31서울특별시교육청성동광진교육지원청1ecec08d-0add-b044-e053-0a32095ab044서울구의초등학교병설유치원공립(병설)20230504적합Y20230624실시--O-N-20230504-20230504-20232서울특별시 광진구 광나루로30길 49
32서울특별시교육청성동광진교육지원청1ecec08d-0ba1-b044-e053-0a32095ab044서울양진초등학교병설유치원공립(병설)20230912적합Y20230825실시--O-N-20230922-20230922-20232서울특별시 광진구 워커힐로 32
33서울특별시교육청성동광진교육지원청1ecec08d-0e4a-b044-e053-0a32095ab044선양유치원사립(사인)20230718적합Y20230830실시-O--N-20230718-20230718-20232서울특별시 광진구 동일로 256-1
34서울특별시교육청성동광진교육지원청1ecec08d-0f37-b044-e053-0a32095ab044샬롬유치원사립(법인)20220622적합Y20220930실시-O--N-20220906-20220615-20222서울특별시 광진구 아차산로65길 65
35서울특별시교육청성동광진교육지원청74e1e803-e7d0-4cb0-a8d9-087fb5e7f80f서울중광초등학교병설유치원공립(병설)20230920적합Y20230902실시O---N-20230920-20230920-20232서울특별시 광진구 긴고랑로13길 59
36서울특별시교육청성동광진교육지원청ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952서울용곡초등학교병설유치원공립(병설)20230405적합Y20230916실시-------20230405-20230405-20232서울특별시 광진구 용마산로22길 82
37서울특별시교육청성동광진교육지원청db6bc219-29b5-48d3-af79-797756d3a7a6서울신양초등학교병설유치원공립(병설)20230906적합Y20230916실시-------20230906-20230906-20232서울특별시 광진구 능동로 42