Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory190.5 B

Variable types

Categorical14
Text5
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20798/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 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
실내공기질 점검결과 is highly imbalanced (82.4%)Imbalance
정기소독 의무대상시설여부 is highly imbalanced (70.3%)Imbalance
음용수종류(먹는샘물(생수)) is highly imbalanced (82.4%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (51.5%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:56:58.296664
Analysis finished2024-03-13 06:56:58.578678
Duration0.28 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

2024-03-13T15:56:58.630997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:56:58.710239image/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
동작관악교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

Length

2024-03-13T15:56:58.792531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:56:58.872601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:56:59.049340image/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-efbf-b044-e053-0a32095ab044
2nd row1ecec08c-efc2-b044-e053-0a32095ab044
3rd row1ecec08c-f1a0-b044-e053-0a32095ab044
4th row1ecec08c-f1ad-b044-e053-0a32095ab044
5th row1ecec08c-f3eb-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-efbf-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6c-b044-e053-0a32095ab044 1
 
2.6%
8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73 1
 
2.6%
1ecec08d-0562-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-06c3-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09b9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ba-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09bb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d67-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:56:59.370553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 751
54.9%
Lowercase Letter 465
34.0%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.9%
4 141
18.8%
3 81
 
10.8%
5 76
 
10.1%
1 55
 
7.3%
8 52
 
6.9%
9 51
 
6.8%
2 46
 
6.1%
6 24
 
3.2%
7 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
66.0%
Latin 465
34.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
24.0%
- 152
16.8%
4 141
15.6%
3 81
 
9.0%
5 76
 
8.4%
1 55
 
6.1%
8 52
 
5.8%
9 51
 
5.6%
2 46
 
5.1%
6 24
 
2.7%
Latin
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:56:59.585265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2631579
Min length5

Characters and Unicode

Total characters276
Distinct characters69
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 row서울은로초등학교병설유치원
2nd row예림유치원
3rd row서울상도유치원
4th row총신대부속유치원
5th row동그라미유치원
ValueCountFrequency (%)
서울은로초등학교병설유치원 1
 
2.6%
서울강남초등학교병설유치원 1
 
2.6%
서울은로유치원 1
 
2.6%
노량진교회유치원 1
 
2.6%
하랑숲유치원 1
 
2.6%
상아유치원 1
 
2.6%
소망유치원 1
 
2.6%
승혜유치원 1
 
2.6%
요요유치원 1
 
2.6%
명수유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:56:59.968788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
19 
사립(법인)
9 
공립(병설)
8 
공립(단설)
2 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 19
50.0%
사립(법인) 9
23.7%
공립(병설) 8
21.1%
공립(단설) 2
 
5.3%

Length

2024-03-13T15:57:00.123537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:00.226391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 19
50.0%
사립(법인 9
23.7%
공립(병설 8
21.1%
공립(단설 2
 
5.3%

실내공기질 점검일자
Real number (ℝ)

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220407
Minimum20180823
Maximum20230914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:57:00.318184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180823
5-th percentile20180990
Q120220431
median20230502
Q320230625
95-th percentile20230828
Maximum20230914
Range50091
Interquartile range (IQR)10193.5

Descriptive statistics

Standard deviation17226.571
Coefficient of variation (CV)0.00085193987
Kurtosis0.79529177
Mean20220407
Median Absolute Deviation (MAD)262.5
Skewness-1.5047223
Sum7.6837545 × 108
Variance2.9675474 × 108
MonotonicityNot monotonic
2024-03-13T15:57:00.428277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20230720 3
 
7.9%
20230828 3
 
7.9%
20230502 3
 
7.9%
20230404 2
 
5.3%
20230412 2
 
5.3%
20230809 2
 
5.3%
20230608 1
 
2.6%
20230914 1
 
2.6%
20230609 1
 
2.6%
20230630 1
 
2.6%
Other values (19) 19
50.0%
ValueCountFrequency (%)
20180823 1
2.6%
20180829 1
2.6%
20181018 1
2.6%
20181121 1
2.6%
20190312 1
2.6%
20200903 1
2.6%
20200909 1
2.6%
20200925 1
2.6%
20210401 1
2.6%
20220405 1
2.6%
ValueCountFrequency (%)
20230914 1
 
2.6%
20230828 3
7.9%
20230809 2
5.3%
20230720 3
7.9%
20230630 1
 
2.6%
20230609 1
 
2.6%
20230608 1
 
2.6%
20230605 1
 
2.6%
20230601 1
 
2.6%
20230530 1
 
2.6%

실내공기질 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
적합
37 
부적합
 
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%
부적합 1
 
2.6%

Length

2024-03-13T15:57:00.533252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:00.618715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 37
97.4%
부적합 1
 
2.6%

정기소독 의무대상시설여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
36 
False
 
2
ValueCountFrequency (%)
True 36
94.7%
False 2
 
5.3%
2024-03-13T15:57:00.692803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221110
Minimum20180828
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:57:00.786548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180828
5-th percentile20180913
Q120220692
median20230904
Q320230911
95-th percentile20230925
Maximum20230926
Range50098
Interquartile range (IQR)10219.5

Descriptive statistics

Standard deviation16881.055
Coefficient of variation (CV)0.00083482337
Kurtosis0.79398534
Mean20221110
Median Absolute Deviation (MAD)19
Skewness-1.5070798
Sum7.6840217 × 108
Variance2.8497002 × 108
MonotonicityNot monotonic
2024-03-13T15:57:00.894562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230908 6
 
15.8%
20230904 4
 
10.5%
20230916 2
 
5.3%
20230925 2
 
5.3%
20200826 1
 
2.6%
20220901 1
 
2.6%
20230905 1
 
2.6%
20180928 1
 
2.6%
20230617 1
 
2.6%
20230919 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
20180828 1
2.6%
20180831 1
2.6%
20180928 1
2.6%
20190321 1
2.6%
20190902 1
2.6%
20200826 1
2.6%
20200903 1
2.6%
20200926 1
2.6%
20210401 1
2.6%
20220622 1
2.6%
ValueCountFrequency (%)
20230926 1
 
2.6%
20230925 2
 
5.3%
20230921 1
 
2.6%
20230920 1
 
2.6%
20230919 1
 
2.6%
20230916 2
 
5.3%
20230913 1
 
2.6%
20230912 1
 
2.6%
20230909 1
 
2.6%
20230908 6
15.8%

정기소독 점검결과
Categorical

CONSTANT 

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

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 38
100.0%

Length

2024-03-13T15:57:01.235302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:01.309184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 38
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
- 37
97.4%
O 1
 
2.6%

Length

2024-03-13T15:57:01.390570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:01.476168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37
97.4%
o 1
 
2.6%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
O
26 
-
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 26
68.4%
- 12
31.6%

Length

2024-03-13T15:57:01.558611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:01.639590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 26
68.4%
12
31.6%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
28 
O
10 

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 (%)
- 28
73.7%
O 10
 
26.3%

Length

2024-03-13T15:57:01.725982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:01.810890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28
73.7%
o 10
 
26.3%

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

2024-03-13T15:57:01.937423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:02.049447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
N
34 
-
4 

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 34
89.5%
- 4
 
10.5%

Length

2024-03-13T15:57:02.135379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:02.218771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 34
89.5%
4
 
10.5%

지하수사용시 검사일자
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
26 
-
12 

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 (%)
26
68.4%
- 12
31.6%

Length

2024-03-13T15:57:02.311710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:02.393517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12
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

2024-03-13T15:57:02.481839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:02.559968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

미세먼지 검사일자
Text

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:57:02.697449image/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

Unique27 ?
Unique (%)71.1%

Sample

1st row20220830
2nd row20220405
3rd row20230316
4th row20230412
5th row20230828
ValueCountFrequency (%)
20230720 3
 
7.9%
20230828 3
 
7.9%
20230502 3
 
7.9%
20230412 2
 
5.3%
20220830 1
 
2.6%
20230330 1
 
2.6%
20180823 1
 
2.6%
20230904 1
 
2.6%
20230510 1
 
2.6%
20230601 1
 
2.6%
Other values (21) 21
55.3%
2024-03-13T15:57:02.982821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 96
32.3%
2 92
31.0%
3 34
 
11.4%
1 23
 
7.7%
8 17
 
5.7%
5 8
 
2.7%
4 8
 
2.7%
9 7
 
2.4%
7 6
 
2.0%
6 5
 
1.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 96
32.4%
2 92
31.1%
3 34
 
11.5%
1 23
 
7.8%
8 17
 
5.7%
5 8
 
2.7%
4 8
 
2.7%
9 7
 
2.4%
7 6
 
2.0%
6 5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 96
32.3%
2 92
31.0%
3 34
 
11.4%
1 23
 
7.7%
8 17
 
5.7%
5 8
 
2.7%
4 8
 
2.7%
9 7
 
2.4%
7 6
 
2.0%
6 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 96
32.3%
2 92
31.0%
3 34
 
11.4%
1 23
 
7.7%
8 17
 
5.7%
5 8
 
2.7%
4 8
 
2.7%
9 7
 
2.4%
7 6
 
2.0%
6 5
 
1.7%

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

2024-03-13T15:57:03.100990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:03.181002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

조도관리 검사일자
Text

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:57:03.314411image/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

Unique21 ?
Unique (%)55.3%

Sample

1st row20220830
2nd row20220405
3rd row20230404
4th row20230412
5th row20230828
ValueCountFrequency (%)
20230720 3
 
7.9%
20230502 3
 
7.9%
20230828 3
 
7.9%
20230914 2
 
5.3%
2
 
5.3%
20230809 2
 
5.3%
20230412 2
 
5.3%
20230608 1
 
2.6%
20230530 1
 
2.6%
20230630 1
 
2.6%
Other values (18) 18
47.4%
2024-03-13T15:57:03.615571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 94
32.4%
2 88
30.3%
3 32
 
11.0%
1 19
 
6.6%
8 18
 
6.2%
5 11
 
3.8%
9 10
 
3.4%
4 8
 
2.8%
6 5
 
1.7%
7 3
 
1.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 94
32.6%
2 88
30.6%
3 32
 
11.1%
1 19
 
6.6%
8 18
 
6.2%
5 11
 
3.8%
9 10
 
3.5%
4 8
 
2.8%
6 5
 
1.7%
7 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 94
32.4%
2 88
30.3%
3 32
 
11.0%
1 19
 
6.6%
8 18
 
6.2%
5 11
 
3.8%
9 10
 
3.4%
4 8
 
2.8%
6 5
 
1.7%
7 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 94
32.4%
2 88
30.3%
3 32
 
11.0%
1 19
 
6.6%
8 18
 
6.2%
5 11
 
3.8%
9 10
 
3.4%
4 8
 
2.8%
6 5
 
1.7%
7 3
 
1.0%

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

2024-03-13T15:57:03.730882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:57:03.808994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

공시차수
Real number (ℝ)

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.211
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:57:03.884721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120222
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.910189
Coefficient of variation (CV)0.0008362186
Kurtosis0.77577925
Mean20222.211
Median Absolute Deviation (MAD)0
Skewness-1.5032852
Sum768444
Variance285.95448
MonotonicityNot monotonic
2024-03-13T15:57:03.994151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20202 3
 
7.9%
20182 3
 
7.9%
20211 1
 
2.6%
20191 1
 
2.6%
20192 1
 
2.6%
ValueCountFrequency (%)
20182 3
 
7.9%
20191 1
 
2.6%
20192 1
 
2.6%
20202 3
 
7.9%
20211 1
 
2.6%
20222 3
 
7.9%
20232 26
68.4%
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20211 1
 
2.6%
20202 3
 
7.9%
20192 1
 
2.6%
20191 1
 
2.6%
20182 3
 
7.9%

주소
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:57:04.222216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length18.789474
Min length16

Characters and Unicode

Total characters714
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 (%)89.5%

Sample

1st row서울특별시 동작구 서달로 115
2nd row서울특별시 동작구 현충로 151
3rd row서울특별시 동작구 만양로3길 48
4th row서울특별시 동작구 사당로 143
5th row서울특별시 동작구 사당로28길 34
ValueCountFrequency (%)
서울특별시 38
25.0%
동작구 38
25.0%
15 3
 
2.0%
서달로 2
 
1.3%
115 2
 
1.3%
만양로3길 2
 
1.3%
48 2
 
1.3%
현충로 2
 
1.3%
사당로 2
 
1.3%
여의대방로 2
 
1.3%
Other values (58) 59
38.8%
2024-03-13T15:57:04.556126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.0%
서 40
 
5.6%
동 40
 
5.6%
작 40
 
5.6%
시 39
 
5.5%
울 38
 
5.3%
구 38
 
5.3%
별 38
 
5.3%
특 38
 
5.3%
로 36
 
5.0%
Other values (47) 253
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
65.3%
Decimal Number 128
 
17.9%
Space Separator 114
 
16.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Decimal Number
ValueCountFrequency (%)
1 25
19.5%
4 21
16.4%
2 18
14.1%
5 14
10.9%
6 13
10.2%
3 13
10.2%
7 7
 
5.5%
0 7
 
5.5%
8 5
 
3.9%
9 5
 
3.9%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
65.3%
Common 248
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Common
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
65.3%
ASCII 248
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-efbf-b044-e053-0a32095ab044서울은로초등학교병설유치원공립(병설)20220830적합Y20220917실시--O-N-20220830-20220830-20222서울특별시 동작구 서달로 115
1서울특별시교육청동작관악교육지원청1ecec08c-efc2-b044-e053-0a32095ab044예림유치원사립(사인)20220405적합Y20220622실시-O--N-20220405-20220405-20222서울특별시 동작구 현충로 151
2서울특별시교육청동작관악교육지원청1ecec08c-f1a0-b044-e053-0a32095ab044서울상도유치원공립(단설)20230404적합Y20230925실시-O--N-20230316-20230404-20232서울특별시 동작구 만양로3길 48
3서울특별시교육청동작관악교육지원청1ecec08c-f1ad-b044-e053-0a32095ab044총신대부속유치원사립(법인)20230412적합Y20230912실시-O--N-20230412-20230412-20232서울특별시 동작구 사당로 143
4서울특별시교육청동작관악교육지원청1ecec08c-f3eb-b044-e053-0a32095ab044동그라미유치원사립(사인)20230828적합Y20230913실시O---N-20230828-20230828-20232서울특별시 동작구 사당로28길 34
5서울특별시교육청동작관악교육지원청1ecec08c-f3fb-b044-e053-0a32095ab044은혜유치원사립(사인)20210401적합Y20210401실시--O-N-20210401-20210401-20211서울특별시 동작구 성대로6가길 29
6서울특별시교육청동작관악교육지원청1ecec08c-f56c-b044-e053-0a32095ab044서울문창초등학교병설유치원공립(병설)20230413적합Y20230517실시--O-N-20230407-20230914-20232서울특별시 동작구 신대방2길 14
7서울특별시교육청동작관악교육지원청1ecec08c-f6f1-b044-e053-0a32095ab044행복유치원사립(법인)20230502적합Y20230920실시-O--N-20230502-20230502-20232서울특별시 동작구 양녕로23길 25
8서울특별시교육청동작관악교육지원청1ecec08c-f8ac-b044-e053-0a32095ab044양문유치원사립(사인)20230720적합Y20230825실시-O--N-20230720-20230720-20232서울특별시 동작구 시흥대로 644-1
9서울특별시교육청동작관악교육지원청1ecec08c-f940-b044-e053-0a32095ab044샛별유치원사립(법인)20230502적합Y20230926실시-O--N-20230502-20230502-20232서울특별시 동작구 상도로50길 36-1
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
28서울특별시교육청동작관악교육지원청1ecec08d-0bb2-b044-e053-0a32095ab044중앙대부속유치원사립(법인)20230608적합Y20230904실시-OO-N-20230608-20230608-20232서울특별시 동작구 흑석로 47
29서울특별시교육청동작관악교육지원청1ecec08d-0d67-b044-e053-0a32095ab044명수유치원사립(법인)20230828적합Y20230919실시-O--N-20230828-20230828-20232서울특별시 동작구 흑석로13길 3
30서울특별시교육청동작관악교육지원청1ecec08d-0e1f-b044-e053-0a32095ab044송림유치원사립(법인)20230828적합Y20230908실시--O-N-20230828-20230828-20232서울특별시 동작구 사당로2다길 95
31서울특별시교육청동작관악교육지원청1fc6dd86-cccc-d1d2-e053-0a32095ad1d2행복한숲유치원사립(사인)20230809적합Y20230916실시-O--N-20230809-20230809-20232서울특별시 동작구 만양로 26
32서울특별시교육청동작관악교육지원청3f6c4638-fa48-42ee-b862-cdcbdee6eef0서울노량진초등학교병설유치원공립(병설)20230510적합N20230617실시-------20230510-20230510-20232서울특별시 동작구 장승배기로 160
33서울특별시교육청동작관악교육지원청6cc39611-cfc5-4d3e-bc54-ff88d1afcf01모아유치원사립(사인)20180823적합Y20180928실시-O--N--20180823-20180823-20182서울특별시 동작구 동작대로27길 62
34서울특별시교육청동작관악교육지원청6f1822d8-a14e-4236-a707-fd9af1e88aec시현유치원사립(사인)20230404적합Y20230904실시-O--N-20230330-20230329-20232서울특별시 동작구 만양로8길 50
35서울특별시교육청동작관악교육지원청89e2307e-5deb-45c1-84c3-670f209825f3서울행림초등학교병설유치원공립(병설)20230530적합Y20230908실시-------20230530-20230530-20232서울특별시 동작구 솔밭로 47
36서울특별시교육청동작관악교육지원청8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73서울은로유치원공립(단설)20230412적합Y20230905실시-------20230412-20230412-20232서울특별시 동작구 서달로 115
37서울특별시교육청동작관악교육지원청afaeef71-68b6-4a13-acd4-cb8285459fb9서울본동초등학교병설유치원공립(병설)20220510적합N20220901실시-------20220510-20220510-20222서울특별시 동작구 노량진로26길 16-40