Overview

Dataset statistics

Number of variables23
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory191.7 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20795/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
실내공기질 점검결과 has constant value ""Constant
정기소독 점검결과 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
정기소독 의무대상시설여부 is highly imbalanced (69.0%)Imbalance
음용수종류(먹는샘물(생수)) is highly imbalanced (58.6%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (58.6%)Imbalance
공시차수 is highly imbalanced (57.1%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:36:54.566889
Analysis finished2024-03-13 06:36:54.779465
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-03-13T15:36:54.838618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:54.917100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
남부교육지원청
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부교육지원청 36
100.0%

Length

2024-03-13T15:36:55.014938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:55.093150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T15:36:55.278202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2f-b044-e053-0a32095ab044
2nd row1ecec08c-eecb-b044-e053-0a32095ab044
3rd row1ecec08c-efa0-b044-e053-0a32095ab044
4th row1ecec08c-f052-b044-e053-0a32095ab044
5th row1ecec08c-f1b3-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08c-eecb-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0630-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-012c-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0141-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-01d6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-02b2-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0556-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0557-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08be-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T15:36:55.632412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 722
55.7%
Lowercase Letter 430
33.2%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
30.9%
4 141
19.5%
5 80
 
11.1%
3 74
 
10.2%
2 51
 
7.1%
1 46
 
6.4%
9 46
 
6.4%
8 39
 
5.4%
6 12
 
1.7%
7 10
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
66.8%
Latin 430
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 223
25.8%
- 144
16.6%
4 141
16.3%
5 80
 
9.2%
3 74
 
8.5%
2 51
 
5.9%
1 46
 
5.3%
9 46
 
5.3%
8 39
 
4.5%
6 12
 
1.4%
Latin
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T15:36:55.799066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.1666667
Min length5

Characters and Unicode

Total characters294
Distinct characters67
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울아람유치원
2nd row정훈유치원
3rd row미림유치원
4th row서울세곡초등학교병설유치원
5th row서울개봉초등학교병설유치원
ValueCountFrequency (%)
서울아람유치원 1
 
2.8%
정훈유치원 1
 
2.8%
푸른동산유치원 1
 
2.8%
동부유치원 1
 
2.8%
예쁨유치원 1
 
2.8%
서울구일초등학교병설유치원 1
 
2.8%
서울하늘숲유치원 1
 
2.8%
동정성모유치원 1
 
2.8%
바니유치원 1
 
2.8%
꿀벌유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T15:36:56.062899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
18 
공립(병설)
12 
사립(법인)
4 
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 row공립(병설)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 18
50.0%
공립(병설) 12
33.3%
사립(법인) 4
 
11.1%
공립(단설) 2
 
5.6%

Length

2024-03-13T15:36:56.172892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:56.258275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 18
50.0%
공립(병설 12
33.3%
사립(법인 4
 
11.1%
공립(단설 2
 
5.6%

실내공기질 점검일자
Real number (ℝ)

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225035
Minimum20180724
Maximum20230913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T15:36:56.364743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180724
5-th percentile20190701
Q120230509
median20230520
Q320230638
95-th percentile20230766
Maximum20230913
Range50189
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation13799.257
Coefficient of variation (CV)0.00068228593
Kurtosis4.301635
Mean20225035
Median Absolute Deviation (MAD)86
Skewness-2.3781151
Sum7.2810125 × 108
Variance1.9041948 × 108
MonotonicityNot monotonic
2024-03-13T15:36:56.468732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20230719 5
13.9%
20230531 3
 
8.3%
20230509 3
 
8.3%
20230718 2
 
5.6%
20230519 2
 
5.6%
20230522 2
 
5.6%
20230601 2
 
5.6%
20190701 2
 
5.6%
20230516 2
 
5.6%
20180724 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
20180724 1
 
2.8%
20190701 2
5.6%
20190702 1
 
2.8%
20210303 1
 
2.8%
20220407 1
 
2.8%
20230320 1
 
2.8%
20230425 1
 
2.8%
20230509 3
8.3%
20230512 1
 
2.8%
20230515 1
 
2.8%
ValueCountFrequency (%)
20230913 1
 
2.8%
20230905 1
 
2.8%
20230719 5
13.9%
20230718 2
 
5.6%
20230612 1
 
2.8%
20230601 2
 
5.6%
20230531 3
8.3%
20230525 1
 
2.8%
20230522 2
 
5.6%
20230519 2
 
5.6%

실내공기질 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
적합
36 

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 36
100.0%

Length

2024-03-13T15:36:56.573311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:56.657622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 36
100.0%

정기소독 의무대상시설여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
34 
False
 
2
ValueCountFrequency (%)
True 34
94.4%
False 2
 
5.6%
2024-03-13T15:36:56.725282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct30
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225542
Minimum20190725
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T15:36:56.817423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190725
5-th percentile20190815
Q120230529
median20230828
Q320230909
95-th percentile20230916
Maximum20230925
Range40200
Interquartile range (IQR)380.25

Descriptive statistics

Standard deviation12989.226
Coefficient of variation (CV)0.00064221896
Kurtosis3.7593241
Mean20225542
Median Absolute Deviation (MAD)85.5
Skewness-2.3015053
Sum7.281195 × 108
Variance1.6872 × 108
MonotonicityNot monotonic
2024-03-13T15:36:56.969427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230915 3
 
8.3%
20230914 2
 
5.6%
20230828 2
 
5.6%
20230907 2
 
5.6%
20230905 2
 
5.6%
20190821 1
 
2.8%
20190725 1
 
2.8%
20230908 1
 
2.8%
20230814 1
 
2.8%
20230807 1
 
2.8%
Other values (20) 20
55.6%
ValueCountFrequency (%)
20190725 1
2.8%
20190802 1
2.8%
20190819 1
2.8%
20190821 1
2.8%
20210809 1
2.8%
20220920 1
2.8%
20230328 1
2.8%
20230513 1
2.8%
20230523 1
2.8%
20230531 1
2.8%
ValueCountFrequency (%)
20230925 1
 
2.8%
20230918 1
 
2.8%
20230916 1
 
2.8%
20230915 3
8.3%
20230914 2
5.6%
20230913 1
 
2.8%
20230908 1
 
2.8%
20230907 2
5.6%
20230906 1
 
2.8%
20230905 2
5.6%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
실시
36 

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 36
100.0%

Length

2024-03-13T15:36:57.120106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:57.223603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 36
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
33 
O
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 33
91.7%
O 3
 
8.3%

Length

2024-03-13T15:36:57.313998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:57.400384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
33
91.7%
o 3
 
8.3%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
O
21 
-
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 21
58.3%
- 15
41.7%

Length

2024-03-13T15:36:57.505800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:57.672043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 21
58.3%
15
41.7%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
23 
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 (%)
- 23
63.9%
O 13
36.1%

Length

2024-03-13T15:36:57.773178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:57.861033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
63.9%
o 13
36.1%

음용수종류(지하수)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
36 

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 (%)
- 36
100.0%

Length

2024-03-13T15:36:57.948482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:58.031181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
N
33 
-
 
3

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 33
91.7%
- 3
 
8.3%

Length

2024-03-13T15:36:58.111355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:58.204381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 33
91.7%
3
 
8.3%

지하수사용시 검사일자
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
29 
-
7 

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 (%)
29
80.6%
- 7
 
19.4%

Length

2024-03-13T15:36:58.292789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:58.372906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7
100.0%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
36 

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 (%)
- 36
100.0%

Length

2024-03-13T15:36:58.483892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:58.561630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%

미세먼지 검사일자
Real number (ℝ)

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225045
Minimum20190701
Maximum20230913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T15:36:58.642467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190701
5-th percentile20190702
Q120230384
median20230519
Q320230630
95-th percentile20230904
Maximum20230913
Range40212
Interquartile range (IQR)246.5

Descriptive statistics

Standard deviation12929.585
Coefficient of variation (CV)0.00063928587
Kurtosis3.5306175
Mean20225045
Median Absolute Deviation (MAD)156.5
Skewness-2.2358483
Sum7.2810161 × 108
Variance1.6717418 × 108
MonotonicityNot monotonic
2024-03-13T15:36:58.755005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20230531 4
 
11.1%
20230719 4
 
11.1%
20230718 2
 
5.6%
20230519 2
 
5.6%
20230522 2
 
5.6%
20230601 2
 
5.6%
20190701 2
 
5.6%
20230509 2
 
5.6%
20190902 1
 
2.8%
20230313 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
20190701 2
5.6%
20190702 1
2.8%
20190902 1
2.8%
20210303 1
2.8%
20220407 1
2.8%
20220908 1
2.8%
20230313 1
2.8%
20230320 1
2.8%
20230405 1
2.8%
20230425 1
2.8%
ValueCountFrequency (%)
20230913 1
 
2.8%
20230905 1
 
2.8%
20230904 1
 
2.8%
20230719 4
11.1%
20230718 2
5.6%
20230601 2
5.6%
20230531 4
11.1%
20230522 2
5.6%
20230519 2
5.6%
20230517 1
 
2.8%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
36 

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 (%)
- 36
100.0%

Length

2024-03-13T15:36:58.932569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:59.069635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%

조도관리 검사일자
Text

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T15:36:59.241616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8055556
Min length1

Characters and Unicode

Total characters281
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

Unique15 ?
Unique (%)41.7%

Sample

1st row-
2nd row20230719
3rd row20230718
4th row20230519
5th row20230519
ValueCountFrequency (%)
20230531 4
 
11.1%
20230719 4
 
11.1%
20230509 3
 
8.3%
20230718 2
 
5.6%
20230519 2
 
5.6%
20230522 2
 
5.6%
20230601 2
 
5.6%
20190701 2
 
5.6%
20230822 1
 
2.8%
1
 
2.8%
Other values (13) 13
36.1%
2024-03-13T15:36:59.583874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84
29.9%
2 79
28.1%
3 37
13.2%
1 25
 
8.9%
5 19
 
6.8%
9 15
 
5.3%
7 11
 
3.9%
8 4
 
1.4%
6 3
 
1.1%
4 3
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
30.0%
2 79
28.2%
3 37
13.2%
1 25
 
8.9%
5 19
 
6.8%
9 15
 
5.4%
7 11
 
3.9%
8 4
 
1.4%
6 3
 
1.1%
4 3
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84
29.9%
2 79
28.1%
3 37
13.2%
1 25
 
8.9%
5 19
 
6.8%
9 15
 
5.3%
7 11
 
3.9%
8 4
 
1.4%
6 3
 
1.1%
4 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84
29.9%
2 79
28.1%
3 37
13.2%
1 25
 
8.9%
5 19
 
6.8%
9 15
 
5.3%
7 11
 
3.9%
8 4
 
1.4%
6 3
 
1.1%
4 3
 
1.1%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
36 

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 (%)
- 36
100.0%

Length

2024-03-13T15:36:59.701210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:36:59.861498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
30 
20192
4 
20222
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row20192
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

Length

2024-03-13T15:36:59.995330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:37:00.086904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T15:37:00.270883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.305556
Min length15

Characters and Unicode

Total characters659
Distinct characters49
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 고척로25길 62
2nd row서울특별시 구로구 경인로 382
3rd row서울특별시 구로구 개봉로18길 37
4th row서울특별시 구로구 고척로33길 34
5th row서울특별시 구로구 개봉로16길 30-11
ValueCountFrequency (%)
서울특별시 36
25.0%
구로구 36
25.0%
고척로 3
 
2.1%
11 3
 
2.1%
6 2
 
1.4%
도림로 2
 
1.4%
개봉로18길 2
 
1.4%
신도림로 2
 
1.4%
22 2
 
1.4%
오류로8길 2
 
1.4%
Other values (53) 54
37.5%
2024-03-13T15:37:00.582554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.4%
구 76
11.5%
로 73
11.1%
서 39
 
5.9%
특 36
 
5.5%
별 36
 
5.5%
시 36
 
5.5%
울 36
 
5.5%
1 29
 
4.4%
길 22
 
3.3%
Other values (39) 168
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
64.9%
Decimal Number 119
 
18.1%
Space Separator 108
 
16.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Decimal Number
ValueCountFrequency (%)
1 29
24.4%
2 21
17.6%
3 11
 
9.2%
6 10
 
8.4%
7 10
 
8.4%
5 9
 
7.6%
8 9
 
7.6%
0 8
 
6.7%
4 8
 
6.7%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
64.9%
Common 231
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Common
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
64.9%
ASCII 231
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청남부교육지원청1ecec08c-ed2f-b044-e053-0a32095ab044서울아람유치원사립(사인)20180724적합Y20190821실시O---N--20190902---20192서울특별시 구로구 고척로25길 62
1서울특별시교육청남부교육지원청1ecec08c-eecb-b044-e053-0a32095ab044정훈유치원사립(사인)20230719적합Y20230907실시-O--N-20230719-20230719-20232서울특별시 구로구 경인로 382
2서울특별시교육청남부교육지원청1ecec08c-efa0-b044-e053-0a32095ab044미림유치원사립(사인)20230718적합Y20230914실시--O-N-20230718-20230718-20232서울특별시 구로구 개봉로18길 37
3서울특별시교육청남부교육지원청1ecec08c-f052-b044-e053-0a32095ab044서울세곡초등학교병설유치원공립(병설)20230519적합Y20230828실시--O-N-20230519-20230519-20232서울특별시 구로구 고척로33길 34
4서울특별시교육청남부교육지원청1ecec08c-f1b3-b044-e053-0a32095ab044서울개봉초등학교병설유치원공립(병설)20230519적합Y20230826실시--O-N-20230519-20230519-20232서울특별시 구로구 개봉로16길 30-11
5서울특별시교육청남부교육지원청1ecec08c-f1b4-b044-e053-0a32095ab044서울영서초등학교병설유치원공립(병설)20230522적합Y20230906실시-OO-N-20230522-20230522-20232서울특별시 구로구 도림로20길 57
6서울특별시교육청남부교육지원청1ecec08c-f321-b044-e053-0a32095ab044나비유치원사립(사인)20220407적합Y20220920실시-O--N-20220407-20220407-20222서울특별시 구로구 고척로 30
7서울특별시교육청남부교육지원청1ecec08c-f32a-b044-e053-0a32095ab044준희유치원사립(사인)20190702적합N20190802실시-O--N--20190702-20190702-20192서울특별시 구로구 경인로19길 8
8서울특별시교육청남부교육지원청1ecec08c-f3e4-b044-e053-0a32095ab044새두산유치원사립(사인)20230531적합Y20230905실시-OO-N-20230531-20230531-20232서울특별시 구로구 도림로 59
9서울특별시교육청남부교육지원청1ecec08c-f3f7-b044-e053-0a32095ab044세희유치원사립(사인)20230601적합Y20230831실시-O--N-20230601-20230601-20232서울특별시 구로구 도림로 107
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
26서울특별시교육청남부교육지원청1ecec08d-0630-b044-e053-0a32095ab044푸른동산유치원사립(사인)20230509적합Y20230807실시-O--N-20230509-20230509-20232서울특별시 구로구 서해안로 2201
27서울특별시교육청남부교육지원청1ecec08d-08be-b044-e053-0a32095ab044꿀벌유치원사립(법인)20230601적합Y20230907실시-OO-N-20230601-20230601-20232서울특별시 구로구 디지털로27다길 15
28서울특별시교육청남부교육지원청1ecec08d-08c9-b044-e053-0a32095ab044일신유치원사립(사인)20190701적합N20190819실시-O--N--20190701-20190701-20192서울특별시 구로구 오류로8길 22
29서울특별시교육청남부교육지원청1ecec08d-099f-b044-e053-0a32095ab044버들유치원사립(사인)20190701적합Y20190725실시-O--N--20190701-20190701-20192서울특별시 구로구 오류로8길 40
30서울특별시교육청남부교육지원청1ecec08d-0e01-b044-e053-0a32095ab044동아유치원사립(사인)20230531적합Y20230830실시-O--N-20230531-20230531-20232서울특별시 구로구 신도림로 87
31서울특별시교육청남부교육지원청1ecec08d-0e10-b044-e053-0a32095ab044신도유치원사립(사인)20230719적합Y20230916실시-O--N-20230719-20230822-20232서울특별시 구로구 구일로2길 45
32서울특별시교육청남부교육지원청1ecec08d-0f6d-b044-e053-0a32095ab044서울신미림초등학교병설유치원공립(병설)20230517적합Y20230818실시-O--N-20230517-20230517-20232서울특별시 구로구 신도림로 26
33서울특별시교육청남부교육지원청2e5397a8-bcbc-4691-accf-e2e60e8c5cfe서울고산초등학교병설유치원공립(병설)20230512적합Y20230925실시-------20230512-20230512-20232서울특별시 구로구 중앙로 6
34서울특별시교육청남부교육지원청89ed1bdc-67a2-4124-a077-bc925d6a901a서울항동유치원공립(단설)20230509적합Y20230816실시-------20230509-20230509-20232서울특별시 구로구 연동로8길 15
35서울특별시교육청남부교육지원청dd6206b2-a72a-4bdd-992a-3922a54bdb4b서울오류남초등학교병설유치원공립(병설)20230516적합Y20230915실시-------20230516-20230516-20232서울특별시 구로구 서해안로24길 22