Overview

Dataset statistics

Number of variables23
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory191.2 B

Variable types

Categorical14
Text3
Numeric5
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20794/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 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
실내공기질 점검결과 is highly imbalanced (79.2%)Imbalance
음용수종류(먹는샘물(생수)) is highly imbalanced (87.9%)Imbalance
음용수종류(지하수) is highly imbalanced (87.9%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (57.2%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:58:04.798627
Analysis finished2024-03-13 09:58:05.040413
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

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 61
100.0%

Length

2024-03-13T18:58:05.109449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:05.217936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

Length

2024-03-13T18:58:05.329300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:05.408489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:58:05.587329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
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

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed82-b044-e053-0a32095ab044
2nd row1ecec08c-eec6-b044-e053-0a32095ab044
3rd row1ecec08c-eec7-b044-e053-0a32095ab044
4th row1ecec08c-ef9c-b044-e053-0a32095ab044
5th row1ecec08c-f199-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed82-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-04c7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b9-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-06b7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08bd-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T18:58:06.020262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:58:06.217651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울공항초등학교병설유치원
2nd row한나유치원
3rd row화곡유치원
4th row선미유치원
5th row서울공진초등학교병설유치원
ValueCountFrequency (%)
서울공항초등학교병설유치원 1
 
1.6%
동그라미유치원 1
 
1.6%
등촌제일유치원 1
 
1.6%
미래클유치원 1
 
1.6%
장미유치원 1
 
1.6%
홍신유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T18:58:06.529104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

설립유형
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-13T18:58:06.650928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:06.744520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

실내공기질 점검일자
Real number (ℝ)

Distinct38
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224064
Minimum20180130
Maximum20230908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:58:06.848627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180130
5-th percentile20180928
Q120230405
median20230518
Q320230626
95-th percentile20230804
Maximum20230908
Range50778
Interquartile range (IQR)221

Descriptive statistics

Standard deviation15195.901
Coefficient of variation (CV)0.00075137724
Kurtosis3.8166733
Mean20224064
Median Absolute Deviation (MAD)113
Skewness-2.3043655
Sum1.2336679 × 109
Variance2.3091542 × 108
MonotonicityNot monotonic
2024-03-13T18:58:06.973339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20230525 7
 
11.5%
20230713 5
 
8.2%
20230526 4
 
6.6%
20230616 3
 
4.9%
20230714 3
 
4.9%
20230405 3
 
4.9%
20230428 2
 
3.3%
20230421 2
 
3.3%
20230517 2
 
3.3%
20230502 2
 
3.3%
Other values (28) 28
45.9%
ValueCountFrequency (%)
20180130 1
1.6%
20180618 1
1.6%
20180918 1
1.6%
20180928 1
1.6%
20181016 1
1.6%
20190719 1
1.6%
20191101 1
1.6%
20210906 1
1.6%
20220404 1
1.6%
20220604 1
1.6%
ValueCountFrequency (%)
20230908 1
 
1.6%
20230831 1
 
1.6%
20230821 1
 
1.6%
20230804 1
 
1.6%
20230720 1
 
1.6%
20230719 1
 
1.6%
20230714 3
4.9%
20230713 5
8.2%
20230705 1
 
1.6%
20230626 1
 
1.6%

실내공기질 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
적합
59 
부적합
 
2

Length

Max length3
Median length2
Mean length2.0327869
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 59
96.7%
부적합 2
 
3.3%

Length

2024-03-13T18:58:07.095837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:07.179875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 59
96.7%
부적합 2
 
3.3%

정기소독 의무대상시설여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
61 
ValueCountFrequency (%)
True 61
100.0%
2024-03-13T18:58:07.268466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct41
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225065
Minimum20180130
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:58:07.363118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180130
5-th percentile20190404
Q120230727
median20230831
Q320230915
95-th percentile20230922
Maximum20230925
Range50795
Interquartile range (IQR)188

Descriptive statistics

Standard deviation14031.907
Coefficient of variation (CV)0.00069378799
Kurtosis3.9811085
Mean20225065
Median Absolute Deviation (MAD)84
Skewness-2.3351741
Sum1.233729 × 109
Variance1.9689442 × 108
MonotonicityNot monotonic
2024-03-13T18:58:07.487243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20230921 4
 
6.6%
20230915 3
 
4.9%
20230918 3
 
4.9%
20230901 3
 
4.9%
20230922 3
 
4.9%
20230825 3
 
4.9%
20230831 3
 
4.9%
20230916 2
 
3.3%
20230904 2
 
3.3%
20230911 2
 
3.3%
Other values (31) 33
54.1%
ValueCountFrequency (%)
20180130 1
1.6%
20180712 1
1.6%
20190326 1
1.6%
20190404 1
1.6%
20190719 1
1.6%
20190816 1
1.6%
20191227 1
1.6%
20211001 1
1.6%
20220312 1
1.6%
20220819 1
1.6%
ValueCountFrequency (%)
20230925 1
 
1.6%
20230922 3
4.9%
20230921 4
6.6%
20230918 3
4.9%
20230916 2
3.3%
20230915 3
4.9%
20230914 1
 
1.6%
20230913 1
 
1.6%
20230912 1
 
1.6%
20230911 2
3.3%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
실시
61 

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 61
100.0%

Length

2024-03-13T18:58:07.599921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:07.680289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 61
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
60 
O
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
- 60
98.4%
O 1
 
1.6%

Length

2024-03-13T18:58:07.762566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:07.849221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60
98.4%
o 1
 
1.6%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
O
41 
-
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 41
67.2%
- 20
32.8%

Length

2024-03-13T18:58:08.285564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:08.365583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 41
67.2%
20
32.8%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
44 
O
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 44
72.1%
O 17
 
27.9%

Length

2024-03-13T18:58:08.455495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:08.547866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44
72.1%
o 17
 
27.9%

음용수종류(지하수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
60 
O
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
- 60
98.4%
O 1
 
1.6%

Length

2024-03-13T18:58:08.646857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:08.729923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60
98.4%
o 1
 
1.6%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
N
52 
-
8 
Y
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
N 52
85.2%
- 8
 
13.1%
Y 1
 
1.6%

Length

2024-03-13T18:58:08.825901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:08.918016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 52
85.2%
8
 
13.1%
y 1
 
1.6%

지하수사용시 검사일자
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
45 
-
15 
20170310
 
1

Length

Max length8
Median length1
Mean length1.1147541
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
45
73.8%
- 15
 
24.6%
20170310 1
 
1.6%

Length

2024-03-13T18:58:09.043222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:09.143256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15
93.8%
20170310 1
 
6.2%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
61 

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 (%)
- 61
100.0%

Length

2024-03-13T18:58:09.238662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:09.318885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
61
100.0%

미세먼지 검사일자
Real number (ℝ)

Distinct45
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224238
Minimum20180312
Maximum20230921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:58:09.431944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180312
5-th percentile20180928
Q120230405
median20230517
Q320230713
95-th percentile20230908
Maximum20230921
Range50609
Interquartile range (IQR)308

Descriptive statistics

Standard deviation15208.298
Coefficient of variation (CV)0.00075198376
Kurtosis3.886266
Mean20224238
Median Absolute Deviation (MAD)194
Skewness-2.3267769
Sum1.2336785 × 109
Variance2.3129234 × 108
MonotonicityNot monotonic
2024-03-13T18:58:09.560084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20230526 4
 
6.6%
20230525 4
 
6.6%
20230405 3
 
4.9%
20230616 3
 
4.9%
20230713 3
 
4.9%
20230428 2
 
3.3%
20230421 2
 
3.3%
20230714 2
 
3.3%
20230517 2
 
3.3%
20191101 1
 
1.6%
Other values (35) 35
57.4%
ValueCountFrequency (%)
20180312 1
1.6%
20180618 1
1.6%
20180918 1
1.6%
20180928 1
1.6%
20181016 1
1.6%
20190719 1
1.6%
20191101 1
1.6%
20211001 1
1.6%
20220331 1
1.6%
20220610 1
1.6%
ValueCountFrequency (%)
20230921 1
1.6%
20230919 1
1.6%
20230918 1
1.6%
20230908 1
1.6%
20230905 1
1.6%
20230901 1
1.6%
20230831 1
1.6%
20230821 1
1.6%
20230804 1
1.6%
20230720 1
1.6%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
61 

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 (%)
- 61
100.0%

Length

2024-03-13T18:58:09.675137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:09.756654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
61
100.0%

조도관리 검사일자
Real number (ℝ)

Distinct41
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224073
Minimum20180312
Maximum20230913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:58:09.852193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180312
5-th percentile20180928
Q120230405
median20230517
Q320230705
95-th percentile20230831
Maximum20230913
Range50601
Interquartile range (IQR)300

Descriptive statistics

Standard deviation15190.948
Coefficient of variation (CV)0.00075113199
Kurtosis3.8103645
Mean20224073
Median Absolute Deviation (MAD)112
Skewness-2.3027554
Sum1.2336685 × 109
Variance2.3076491 × 108
MonotonicityNot monotonic
2024-03-13T18:58:09.978847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20230525 5
 
8.2%
20230526 4
 
6.6%
20230713 4
 
6.6%
20230616 3
 
4.9%
20230714 3
 
4.9%
20230405 3
 
4.9%
20230428 2
 
3.3%
20230421 2
 
3.3%
20230517 2
 
3.3%
20230502 2
 
3.3%
Other values (31) 31
50.8%
ValueCountFrequency (%)
20180312 1
1.6%
20180618 1
1.6%
20180918 1
1.6%
20180928 1
1.6%
20181016 1
1.6%
20190719 1
1.6%
20191101 1
1.6%
20211001 1
1.6%
20220325 1
1.6%
20220404 1
1.6%
ValueCountFrequency (%)
20230913 1
 
1.6%
20230908 1
 
1.6%
20230901 1
 
1.6%
20230831 1
 
1.6%
20230821 1
 
1.6%
20230804 1
 
1.6%
20230720 1
 
1.6%
20230719 1
 
1.6%
20230714 3
4.9%
20230713 4
6.6%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
-
61 

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 (%)
- 61
100.0%

Length

2024-03-13T18:58:10.114002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:58:10.234503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
61
100.0%

공시차수
Real number (ℝ)

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226.361
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:58:10.338893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20191
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.71378
Coefficient of variation (CV)0.0006780152
Kurtosis4.2220024
Mean20226.361
Median Absolute Deviation (MAD)0
Skewness-2.3704251
Sum1233808
Variance188.06776
MonotonicityNot monotonic
2024-03-13T18:58:10.454808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20232 49
80.3%
20222 3
 
4.9%
20191 2
 
3.3%
20192 2
 
3.3%
20182 2
 
3.3%
20212 1
 
1.6%
20231 1
 
1.6%
20201 1
 
1.6%
ValueCountFrequency (%)
20182 2
 
3.3%
20191 2
 
3.3%
20192 2
 
3.3%
20201 1
 
1.6%
20212 1
 
1.6%
20222 3
 
4.9%
20231 1
 
1.6%
20232 49
80.3%
ValueCountFrequency (%)
20232 49
80.3%
20231 1
 
1.6%
20222 3
 
4.9%
20212 1
 
1.6%
20201 1
 
1.6%
20192 2
 
3.3%
20191 2
 
3.3%
20182 2
 
3.3%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:58:10.713505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 마곡서1로 68
2nd row서울특별시 강서구 금낭화로 287-19
3rd row서울특별시 강서구 까치산로 60
4th row서울특별시 강서구 까치산로2길 43
5th row서울특별시 강서구 마곡서로 33
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
39 3
 
1.2%
금낭화로 3
 
1.2%
강서로 3
 
1.2%
까치산로 2
 
0.8%
8 2
 
0.8%
마곡서1로 2
 
0.8%
4 2
 
0.8%
Other values (88) 96
39.3%
2024-03-13T18:58:11.084112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
특 61
 
5.3%
별 61
 
5.3%
시 61
 
5.3%
구 61
 
5.3%
울 61
 
5.3%
로 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
5 14
 
6.4%
8 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)20230424적합Y20230915실시--O-N-20230424-20230424-20232서울특별시 강서구 마곡서1로 68
1서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)20230525적합Y20230915실시-O--N-20230901-20230901-20232서울특별시 강서구 금낭화로 287-19
2서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)20230526적합Y20230713실시--O-N-20230526-20230526-20232서울특별시 강서구 까치산로 60
3서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)20230526적합Y20230818실시-O--N-20230526-20230526-20232서울특별시 강서구 까치산로2길 43
4서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)20230908적합Y20230925실시-OO-N-20230908-20230908-20232서울특별시 강서구 마곡서로 33
5서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)20230616적합Y20230916실시-O--N-20230616-20230616-20232서울특별시 강서구 공항대로39길 100
6서울특별시교육청강서양천교육지원청1ecec08c-f1fb-b044-e053-0a32095ab044서강유치원사립(사인)20180618적합Y20190404실시-O--N--20180618-20180618-20191서울특별시 강서구 금낭화로 35
7서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)20230713적합Y20230921실시-O--N-20230713-20230713-20232서울특별시 강서구 허준로 47
8서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)20230421적합Y20230222실시-OO-N-20230421-20230421-20232서울특별시 강서구 방화대로50길 22
9서울특별시교육청강서양천교육지원청1ecec08c-f3d8-b044-e053-0a32095ab044신영유치원사립(사인)20230714적합Y20230727실시-O--N-20230714-20230714-20232서울특별시 강서구 곰달래로25길 4
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
51서울특별시교육청강서양천교육지원청53e84c27-6bdd-49a9-9c73-887fa8bd28a2서울금낭화유치원공립(단설)20230525적합Y20230905실시-------20230503-20230503-20232서울특별시 강서구 금낭화로 35
52서울특별시교육청강서양천교육지원청5e4a5892-4caf-4a0b-93ab-44d81b9557a2서울신곡초등학교병설유치원공립(병설)20230518적합Y20230901실시-------20230518-20230518-20232서울특별시 강서구 등촌로13자길 42-14
53서울특별시교육청강서양천교육지원청7721e609-bd73-448b-8b96-f988a1c4757d서울등촌초등학교병설유치원공립(병설)20230512부적합Y20230218실시-------20230512-20230512-20232서울특별시 강서구 등촌로39길 71
54서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)20230510적합Y20230922실시--O-N-20230510-20230510-20232서울특별시 강서구 허준로 109
55서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)20221109적합Y20230918실시-------20221109-20221109-20232서울특별시 강서구 강서로31길 48
56서울특별시교육청강서양천교육지원청cd859395-2ba1-4f95-a3db-7c7a75b2d320서울송정초등학교병설유치원공립(병설)20230425적합Y20230912실시-------20230425-20230425-20232서울특별시 강서구 공항대로3길 18
57서울특별시교육청강서양천교육지원청d0fe68a4-a1df-44ce-9072-87f9da3c301a서울개화초등학교병설유치원공립(병설)20230705적합Y20230922실시-------20230323-20230705-20232서울특별시 강서구 양천로 11
58서울특별시교육청강서양천교육지원청da318554-85fa-494c-9ab9-60fd25bb0ce2이솔유치원사립(사인)20230714적합Y20230831실시-O--N-20230714-20230714-20232서울특별시 강서구 곰달래로33가길 6
59서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)20230509적합Y20230824실시-O--N-20230509-20230509-20232서울특별시 강서구 허준로 186
60서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)20230428부적합Y20230901실시-------20230428-20230428-20232서울특별시 강서구 강서로56나길 34