Overview

Dataset statistics

Number of variables23
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory191.9 B

Variable types

Categorical15
Text4
Numeric3
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20784/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
실내공기질 점검결과 has constant value ""Constant
정기소독 의무대상시설여부 has constant value ""Constant
정기소독 점검결과 has constant value ""Constant
지하수사용시 검사결과 has constant value ""Constant
미세먼지 검사결과 has constant value ""Constant
조도관리 검사결과 has constant value ""Constant
음용수종류(먹는샘물(생수)) is highly imbalanced (80.9%)Imbalance
음용수종류(지하수) is highly imbalanced (80.9%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (55.3%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 10:43:37.313131
Analysis finished2024-03-13 10:43:37.555431
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
서울특별시교육청
34 

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 34
100.0%

Length

2024-03-13T19:43:37.616289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:37.702586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 34
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동부교육지원청
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 34
100.0%

Length

2024-03-13T19:43:37.788838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:37.882660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 34
100.0%

유치원코드
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T19:43:38.075754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1224
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

Unique34 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed83-b044-e053-0a32095ab044
2nd row1ecec08c-ee33-b044-e053-0a32095ab044
3rd row1ecec08c-efaa-b044-e053-0a32095ab044
4th row1ecec08c-f054-b044-e053-0a32095ab044
5th row1ecec08c-f1fc-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed83-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-ee33-b044-e053-0a32095ab044 1
 
2.9%
7e75b6b8-7dcb-4645-85e7-3656fce0c528 1
 
2.9%
663b5e8a-86f7-433a-bedd-f46a8bd1c7b1 1
 
2.9%
51d03296-c765-4e9c-900f-217f6a1d50f3 1
 
2.9%
1ecec08d-0d38-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca9-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca7-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0c8c-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-fadc-b044-e053-0a32095ab044 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T19:43:38.394294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 683
55.8%
Lowercase Letter 405
33.1%
Dash Punctuation 136
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
30.5%
4 131
19.2%
3 78
 
11.4%
5 76
 
11.1%
8 47
 
6.9%
1 43
 
6.3%
9 39
 
5.7%
2 35
 
5.1%
7 13
 
1.9%
6 13
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 819
66.9%
Latin 405
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
25.4%
- 136
16.6%
4 131
16.0%
3 78
 
9.5%
5 76
 
9.3%
8 47
 
5.7%
1 43
 
5.3%
9 39
 
4.8%
2 35
 
4.3%
7 13
 
1.6%
Latin
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

유치원명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T19:43:38.602538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters238
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row새일문유치원
2nd row백주유치원
3rd row예일유치원
4th row삼성유치원
5th row서울전동초등학교병설유치원
ValueCountFrequency (%)
새일문유치원 1
 
2.9%
백주유치원 1
 
2.9%
서울전곡초등학교병설유치원 1
 
2.9%
정원유치원 1
 
2.9%
서울이문유치원 1
 
2.9%
경희유치원 1
 
2.9%
빛나유치원 1
 
2.9%
동안유치원 1
 
2.9%
서울군자초등학교병설유치원 1
 
2.9%
서울유치원 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T19:43:38.918765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

설립유형
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립(사인)
20 
공립(병설)
7 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
58.8%
공립(병설) 7
 
20.6%
사립(법인) 5
 
14.7%
공립(단설) 2
 
5.9%

Length

2024-03-13T19:43:39.038897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:39.133947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
58.8%
공립(병설 7
 
20.6%
사립(법인 5
 
14.7%
공립(단설 2
 
5.9%

실내공기질 점검일자
Real number (ℝ)

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222130
Minimum20180809
Maximum20230914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-13T19:43:39.234445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180809
5-th percentile20187050
Q120230324
median20230607
Q320230787
95-th percentile20230825
Maximum20230914
Range50105
Interquartile range (IQR)463.25

Descriptive statistics

Standard deviation16674.593
Coefficient of variation (CV)0.00082457154
Kurtosis1.085559
Mean20222130
Median Absolute Deviation (MAD)202.5
Skewness-1.6502381
Sum6.8755244 × 108
Variance2.7804206 × 108
MonotonicityNot monotonic
2024-03-13T19:43:39.405037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20230824 4
 
11.8%
20230607 4
 
11.8%
20230720 3
 
8.8%
20230619 3
 
8.8%
20230809 2
 
5.9%
20180814 1
 
2.9%
20230410 1
 
2.9%
20180809 1
 
2.9%
20230407 1
 
2.9%
20230331 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
20180809 1
2.9%
20180814 1
2.9%
20190408 1
2.9%
20190807 1
2.9%
20190813 1
2.9%
20200810 1
2.9%
20200925 1
2.9%
20220316 1
2.9%
20230321 1
2.9%
20230331 1
2.9%
ValueCountFrequency (%)
20230914 1
 
2.9%
20230828 1
 
2.9%
20230824 4
11.8%
20230810 1
 
2.9%
20230809 2
5.9%
20230720 3
8.8%
20230619 3
8.8%
20230607 4
11.8%
20230512 1
 
2.9%
20230424 1
 
2.9%

실내공기질 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
적합
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 34
100.0%

Length

2024-03-13T19:43:39.581782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:39.677626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 34
100.0%

정기소독 의무대상시설여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-03-13T19:43:39.755495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222901
Minimum20180907
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-13T19:43:39.852103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180907
5-th percentile20190717
Q120230590
median20230822
Q320230909
95-th percentile20230921
Maximum20230925
Range50018
Interquartile range (IQR)318.5

Descriptive statistics

Standard deviation16097.825
Coefficient of variation (CV)0.0007960196
Kurtosis1.0008914
Mean20222901
Median Absolute Deviation (MAD)89
Skewness-1.6523994
Sum6.8757862 × 108
Variance2.5913998 × 108
MonotonicityNot monotonic
2024-03-13T19:43:39.991565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20230915 2
 
5.9%
20230825 2
 
5.9%
20230920 2
 
5.9%
20230914 2
 
5.9%
20230908 2
 
5.9%
20190909 1
 
2.9%
20230902 1
 
2.9%
20230818 1
 
2.9%
20180907 1
 
2.9%
20230821 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
20180907 1
2.9%
20190701 1
2.9%
20190725 1
2.9%
20190826 1
2.9%
20190909 1
2.9%
20200923 1
2.9%
20201006 1
2.9%
20230411 1
2.9%
20230519 1
2.9%
20230804 1
2.9%
ValueCountFrequency (%)
20230925 1
2.9%
20230922 1
2.9%
20230920 2
5.9%
20230915 2
5.9%
20230914 2
5.9%
20230909 1
2.9%
20230908 2
5.9%
20230904 1
2.9%
20230902 1
2.9%
20230829 1
2.9%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
실시
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 34
100.0%

Length

2024-03-13T19:43:40.106633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:40.211585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 34
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
33 
O
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
- 33
97.1%
O 1
 
2.9%

Length

2024-03-13T19:43:40.322056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:40.415401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
33
97.1%
o 1
 
2.9%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
O
25 
-
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 25
73.5%
- 9
 
26.5%

Length

2024-03-13T19:43:40.513007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:40.608756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 25
73.5%
9
 
26.5%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
21 
O
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 21
61.8%
O 13
38.2%

Length

2024-03-13T19:43:40.720902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:40.829626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
61.8%
o 13
38.2%

음용수종류(지하수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
33 
O
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
- 33
97.1%
O 1
 
2.9%

Length

2024-03-13T19:43:40.946697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:41.034136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
33
97.1%
o 1
 
2.9%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
N
29 
-
4 
Y
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
N 29
85.3%
- 4
 
11.8%
Y 1
 
2.9%

Length

2024-03-13T19:43:41.122520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:41.210520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 29
85.3%
4
 
11.8%
y 1
 
2.9%

지하수사용시 검사일자
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
22 
-
11 
20161028
 
1

Length

Max length8
Median length1
Mean length1.2058824
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
22
64.7%
- 11
32.4%
20161028 1
 
2.9%

Length

2024-03-13T19:43:41.310837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:41.411420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11
91.7%
20161028 1
 
8.3%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
34 

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 (%)
- 34
100.0%

Length

2024-03-13T19:43:41.533998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:41.647859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
100.0%

미세먼지 검사일자
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221564
Minimum20180726
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-13T19:43:41.805072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180726
5-th percentile20187048
Q120223422
median20230560
Q320230810
95-th percentile20230916
Maximum20230926
Range50200
Interquartile range (IQR)7387.5

Descriptive statistics

Standard deviation17070.031
Coefficient of variation (CV)0.0008441499
Kurtosis0.76875259
Mean20221564
Median Absolute Deviation (MAD)257.5
Skewness-1.5704691
Sum6.8753317 × 108
Variance2.9138597 × 108
MonotonicityNot monotonic
2024-03-13T19:43:41.925020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230619 3
 
8.8%
20230824 2
 
5.9%
20230607 2
 
5.9%
20230809 2
 
5.9%
20230914 2
 
5.9%
20190408 1
 
2.9%
20230828 1
 
2.9%
20230831 1
 
2.9%
20230410 1
 
2.9%
20230627 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
20180726 1
2.9%
20180809 1
2.9%
20190408 1
2.9%
20190807 1
2.9%
20190813 1
2.9%
20191112 1
2.9%
20200810 1
2.9%
20220316 1
2.9%
20221124 1
2.9%
20230317 1
2.9%
ValueCountFrequency (%)
20230926 1
 
2.9%
20230921 1
 
2.9%
20230914 2
5.9%
20230831 1
 
2.9%
20230828 1
 
2.9%
20230824 2
5.9%
20230810 1
 
2.9%
20230809 2
5.9%
20230627 1
 
2.9%
20230619 3
8.8%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
34 

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 (%)
- 34
100.0%

Length

2024-03-13T19:43:42.064953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:42.151392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
100.0%

조도관리 검사일자
Text

Distinct26
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T19:43:42.314734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.7941176
Min length1

Characters and Unicode

Total characters265
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

Unique21 ?
Unique (%)61.8%

Sample

1st row20230824
2nd row20200810
3rd row20230824
4th row20230720
5th row20230828
ValueCountFrequency (%)
20230824 3
 
8.8%
20230607 3
 
8.8%
20230619 3
 
8.8%
20230914 2
 
5.9%
20230720 2
 
5.9%
20230424 1
 
2.9%
20190408 1
 
2.9%
20230418 1
 
2.9%
20230421 1
 
2.9%
1
 
2.9%
Other values (16) 16
47.1%
2024-03-13T19:43:42.632139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
29.4%
2 74
27.9%
3 32
12.1%
1 26
 
9.8%
8 14
 
5.3%
9 12
 
4.5%
4 11
 
4.2%
7 8
 
3.0%
6 7
 
2.6%
5 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
29.5%
2 74
28.0%
3 32
12.1%
1 26
 
9.8%
8 14
 
5.3%
9 12
 
4.5%
4 11
 
4.2%
7 8
 
3.0%
6 7
 
2.7%
5 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
29.4%
2 74
27.9%
3 32
12.1%
1 26
 
9.8%
8 14
 
5.3%
9 12
 
4.5%
4 11
 
4.2%
7 8
 
3.0%
6 7
 
2.6%
5 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
29.4%
2 74
27.9%
3 32
12.1%
1 26
 
9.8%
8 14
 
5.3%
9 12
 
4.5%
4 11
 
4.2%
7 8
 
3.0%
6 7
 
2.6%
5 2
 
0.8%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
34 

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 (%)
- 34
100.0%

Length

2024-03-13T19:43:42.752532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:42.832680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
100.0%

공시차수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
20232
27 
20192
4 
20202
 
2
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

Length

2024-03-13T19:43:42.925585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:43:43.040691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T19:43:43.241350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.441176
Min length17

Characters and Unicode

Total characters661
Distinct characters57
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

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 장한로 165
2nd row서울특별시 동대문구 서울시립대로18길 19
3rd row서울특별시 동대문구 사가정로 190
4th row서울특별시 동대문구 사가정로 65
5th row서울특별시 동대문구 전농로16길 61
ValueCountFrequency (%)
서울특별시 34
25.0%
동대문구 34
25.0%
사가정로 4
 
2.9%
21 2
 
1.5%
20 2
 
1.5%
장안벚꽃로 2
 
1.5%
고산자로 2
 
1.5%
47 2
 
1.5%
전농로 1
 
0.7%
172 1
 
0.7%
Other values (52) 52
38.2%
2024-03-13T19:43:43.550311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
15.4%
대 36
 
5.4%
시 36
 
5.4%
문 36
 
5.4%
서 35
 
5.3%
울 35
 
5.3%
구 34
 
5.1%
로 34
 
5.1%
동 34
 
5.1%
별 34
 
5.1%
Other values (47) 245
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
67.5%
Decimal Number 112
 
16.9%
Space Separator 102
 
15.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Decimal Number
ValueCountFrequency (%)
1 21
18.8%
2 17
15.2%
6 15
13.4%
5 11
9.8%
4 10
8.9%
3 10
8.9%
7 8
 
7.1%
8 7
 
6.2%
0 7
 
6.2%
9 6
 
5.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
67.5%
Common 215
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Common
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
67.5%
ASCII 215
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청동부교육지원청1ecec08c-ed83-b044-e053-0a32095ab044새일문유치원사립(사인)20230824적합Y20230814실시-O--N-20230824-20230824-20232서울특별시 동대문구 장한로 165
1서울특별시교육청동부교육지원청1ecec08c-ee33-b044-e053-0a32095ab044백주유치원사립(사인)20200810적합Y20200923실시-O--N--20200810-20200810-20202서울특별시 동대문구 서울시립대로18길 19
2서울특별시교육청동부교육지원청1ecec08c-efaa-b044-e053-0a32095ab044예일유치원사립(사인)20230824적합Y20230825실시-OO-N-20230317-20230824-20232서울특별시 동대문구 사가정로 190
3서울특별시교육청동부교육지원청1ecec08c-f054-b044-e053-0a32095ab044삼성유치원사립(사인)20230720적합Y20230807실시-OO-N-20230926-20230720-20232서울특별시 동대문구 사가정로 65
4서울특별시교육청동부교육지원청1ecec08c-f1fc-b044-e053-0a32095ab044서울전동초등학교병설유치원공립(병설)20230828적합Y20230817실시-OO-N-20230828-20230828-20232서울특별시 동대문구 전농로16길 61
5서울특별시교육청동부교육지원청1ecec08c-f1fd-b044-e053-0a32095ab044자람유치원사립(사인)20190408적합Y20190701실시-O--N--20190408-20190408-20192서울특별시 동대문구 고산자로 534
6서울특별시교육청동부교육지원청1ecec08c-f491-b044-e053-0a32095ab044서울휘경유치원공립(단설)20230607적합Y20230920실시-OO-N-20230607-20230607-20232서울특별시 동대문구 망우로6길 48
7서울특별시교육청동부교육지원청1ecec08c-f895-b044-e053-0a32095ab044한양유치원사립(사인)20190813적합Y20190826실시-O--N--20190813-20190813-20192서울특별시 동대문구 답십리로 184
8서울특별시교육청동부교육지원청1ecec08c-f8dc-b044-e053-0a32095ab044세하유치원사립(사인)20230809적합Y20230823실시-O--N-20230809-20230519-20232서울특별시 동대문구 장안벚꽃로 107
9서울특별시교육청동부교육지원청1ecec08c-fadc-b044-e053-0a32095ab044서울유치원사립(사인)20200925적합Y20201006실시--O-N--20191112-20191112-20202서울특별시 동대문구 한천로58길 47
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
24서울특별시교육청동부교육지원청1ecec08d-0c05-b044-e053-0a32095ab044새소리유치원사립(사인)20230824적합Y20230914실시-O--N-20221124-20230301-20232서울특별시 동대문구 사가정로 148
25서울특별시교육청동부교육지원청1ecec08d-0c08-b044-e053-0a32095ab044서울답십리초등학교병설유치원공립(병설)20230331적합Y20230519실시--O-N-20230331-20230331-20232서울특별시 동대문구 전농로3길 23
26서울특별시교육청동부교육지원청1ecec08d-0c8c-b044-e053-0a32095ab044서울군자초등학교병설유치원공립(병설)20230407적합Y20230804실시-O--N-20230407-20230407-20232서울특별시 동대문구 한천로6길 21
27서울특별시교육청동부교육지원청1ecec08d-0ca7-b044-e053-0a32095ab044동안유치원사립(사인)20230619적합Y20230821실시-OO-N-20230619-20230619-20232서울특별시 동대문구 회기로25길 67
28서울특별시교육청동부교육지원청1ecec08d-0ca9-b044-e053-0a32095ab044빛나유치원사립(법인)20180809적합Y20180907실시O---N--20180809---20182서울특별시 동대문구 전농로23길 47
29서울특별시교육청동부교육지원청1ecec08d-0d38-b044-e053-0a32095ab044경희유치원사립(법인)20230607적합Y20230920실시-O--N-20230627-20230607-20232서울특별시 동대문구 경희대로 26
30서울특별시교육청동부교육지원청51d03296-c765-4e9c-900f-217f6a1d50f3서울이문유치원공립(단설)20230619적합Y20230915실시-------20230619-20230619-20232서울특별시 동대문구 신이문로 16
31서울특별시교육청동부교육지원청663b5e8a-86f7-433a-bedd-f46a8bd1c7b1정원유치원사립(사인)20230824적합Y20230914실시-------20230824-20230824-20232서울특별시 동대문구 사가정로 276-19
32서울특별시교육청동부교육지원청7e75b6b8-7dcb-4645-85e7-3656fce0c528서울전곡초등학교병설유치원공립(병설)20230410적합Y20230818실시-------20230410-20230421-20232서울특별시 동대문구 전농로 172
33서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)20230720적합Y20230902실시-------20230831-20230831-20232서울특별시 동대문구 답십리로48길 56