Overview

Dataset statistics

Number of variables23
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory189.6 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20790/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
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 (85.9%)Imbalance
음용수종류(먹는샘물(생수)) is highly imbalanced (53.1%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 18:43:55.179402
Analysis finished2024-03-13 18:43:55.397882
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시교육청
50 

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 50
100.0%

Length

2024-03-14T03:43:55.444757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:55.508797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 50
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서부교육지원청
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 50
100.0%

Length

2024-03-14T03:43:55.575615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:55.650200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 50
100.0%

유치원코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:43:55.822398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
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

Unique50 ?
Unique (%)100.0%

Sample

1st row0783b5eb-4c00-4161-9c47-664336825e5a
2nd row1ecec08c-ed16-b044-e053-0a32095ab044
3rd row1ecec08c-ed89-b044-e053-0a32095ab044
4th row1ecec08c-ee12-b044-e053-0a32095ab044
5th row1ecec08c-ee13-b044-e053-0a32095ab044
ValueCountFrequency (%)
0783b5eb-4c00-4161-9c47-664336825e5a 1
 
2.0%
1ecec08d-06b5-b044-e053-0a32095ab044 1
 
2.0%
e120b286-7861-486d-9b3f-f3c7b49f3c1c 1
 
2.0%
1ecec08d-015d-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-015f-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-029e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-02b1-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-041e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ab-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ac-b044-e053-0a32095ab044 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T03:43:56.096410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
56.6%
Lowercase Letter 581
32.3%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
28.0%
4 202
19.8%
5 106
 
10.4%
3 105
 
10.3%
1 78
 
7.7%
9 70
 
6.9%
8 62
 
6.1%
2 62
 
6.1%
7 26
 
2.6%
6 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1219
67.7%
Latin 581
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
23.4%
4 202
16.6%
- 200
16.4%
5 106
 
8.7%
3 105
 
8.6%
1 78
 
6.4%
9 70
 
5.7%
8 62
 
5.1%
2 62
 
5.1%
7 26
 
2.1%
Latin
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

유치원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:43:56.307436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.66
Min length4

Characters and Unicode

Total characters383
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

Unique50 ?
Unique (%)100.0%

Sample

1st row다우림유치원
2nd row서울연광초등학교병설유치원
3rd row궁전유치원
4th row성아유치원
5th row성균관유치원
ValueCountFrequency (%)
다우림유치원 1
 
2.0%
다우림명문유치원 1
 
2.0%
서울어울초등학교병설유치원 1
 
2.0%
백합유치원 1
 
2.0%
보림유치원 1
 
2.0%
서울수색초등학교병설유치원 1
 
2.0%
서울연신초등학교병설유치원 1
 
2.0%
엔젤유치원 1
 
2.0%
서문유치원 1
 
2.0%
서울은평초등학교병설유치원 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T03:43:56.614096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

설립유형
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사립(사인)
24 
공립(병설)
13 
사립(법인)
8 
공립(단설)
5 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 24
48.0%
공립(병설) 13
26.0%
사립(법인) 8
 
16.0%
공립(단설) 5
 
10.0%

Length

2024-03-14T03:43:56.744997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:56.821954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 24
48.0%
공립(병설 13
26.0%
사립(법인 8
 
16.0%
공립(단설 5
 
10.0%

실내공기질 점검일자
Real number (ℝ)

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222003
Minimum20171030
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:43:56.917883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171030
5-th percentile20185121
Q120222911
median20230517
Q320230691
95-th percentile20230873
Maximum20230926
Range59896
Interquartile range (IQR)7780

Descriptive statistics

Standard deviation16603
Coefficient of variation (CV)0.00082103638
Kurtosis1.9221269
Mean20222003
Median Absolute Deviation (MAD)210.5
Skewness-1.7969066
Sum1.0111002 × 109
Variance2.7565962 × 108
MonotonicityNot monotonic
2024-03-14T03:43:57.023983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20230523 3
 
6.0%
20230519 3
 
6.0%
20230809 3
 
6.0%
20230517 3
 
6.0%
20230908 2
 
4.0%
20230713 2
 
4.0%
20230605 2
 
4.0%
20230417 2
 
4.0%
20230825 2
 
4.0%
20230316 1
 
2.0%
Other values (27) 27
54.0%
ValueCountFrequency (%)
20171030 1
2.0%
20180831 1
2.0%
20181029 1
2.0%
20190122 1
2.0%
20190415 1
2.0%
20190628 1
2.0%
20190726 1
2.0%
20200804 1
2.0%
20210628 1
2.0%
20210723 1
2.0%
ValueCountFrequency (%)
20230926 1
 
2.0%
20230908 2
4.0%
20230830 1
 
2.0%
20230825 2
4.0%
20230818 1
 
2.0%
20230809 3
6.0%
20230713 2
4.0%
20230712 1
 
2.0%
20230627 1
 
2.0%
20230614 1
 
2.0%

실내공기질 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
적합
49 
부적합
 
1

Length

Max length3
Median length2
Mean length2.02
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 49
98.0%
부적합 1
 
2.0%

Length

2024-03-14T03:43:57.140052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:57.213003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 49
98.0%
부적합 1
 
2.0%

정기소독 의무대상시설여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
50 
ValueCountFrequency (%)
True 50
100.0%
2024-03-14T03:43:57.268131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct34
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222640
Minimum20180525
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:43:57.344959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180525
5-th percentile20190223
Q120223369
median20230908
Q320230916
95-th percentile20230923
Maximum20230925
Range50400
Interquartile range (IQR)7547

Descriptive statistics

Standard deviation15691.657
Coefficient of variation (CV)0.00077594504
Kurtosis1.3456804
Mean20222640
Median Absolute Deviation (MAD)15
Skewness-1.6874151
Sum1.011132 × 109
Variance2.462281 × 108
MonotonicityNot monotonic
2024-03-14T03:43:57.451643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20230916 4
 
8.0%
20230912 4
 
8.0%
20190827 2
 
4.0%
20230908 2
 
4.0%
20230922 2
 
4.0%
20230921 2
 
4.0%
20230917 2
 
4.0%
20230907 2
 
4.0%
20230923 2
 
4.0%
20230909 2
 
4.0%
Other values (24) 26
52.0%
ValueCountFrequency (%)
20180525 1
2.0%
20180827 1
2.0%
20190221 1
2.0%
20190225 1
2.0%
20190821 1
2.0%
20190827 2
4.0%
20201117 1
2.0%
20210701 1
2.0%
20210925 1
2.0%
20210929 1
2.0%
ValueCountFrequency (%)
20230925 1
 
2.0%
20230923 2
4.0%
20230922 2
4.0%
20230921 2
4.0%
20230920 2
4.0%
20230917 2
4.0%
20230916 4
8.0%
20230915 1
 
2.0%
20230913 1
 
2.0%
20230912 4
8.0%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
실시
50 

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 50
100.0%

Length

2024-03-14T03:43:57.544501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:57.609021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 50
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
45 
O
5 

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 (%)
- 45
90.0%
O 5
 
10.0%

Length

2024-03-14T03:43:57.678113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:57.745809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
45
90.0%
o 5
 
10.0%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
O
30 
-
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 30
60.0%
- 20
40.0%

Length

2024-03-14T03:43:57.817338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:57.885498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 30
60.0%
20
40.0%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
37 
O
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 37
74.0%
O 13
 
26.0%

Length

2024-03-14T03:43:57.958559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:58.030167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37
74.0%
o 13
 
26.0%

음용수종류(지하수)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
50 

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 (%)
- 50
100.0%

Length

2024-03-14T03:43:58.101624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:58.165294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50
100.0%

지하수사용시 수질 검사여부
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
N
43 
-
7 

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 43
86.0%
- 7
 
14.0%

Length

2024-03-14T03:43:58.240259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:58.317223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 43
86.0%
7
 
14.0%

지하수사용시 검사일자
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
35 
-
15 

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 (%)
35
70.0%
- 15
30.0%

Length

2024-03-14T03:43:58.387309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:58.462948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15
100.0%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
50 

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 (%)
- 50
100.0%

Length

2024-03-14T03:43:58.565090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:58.637369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50
100.0%

미세먼지 검사일자
Text

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:43:58.776249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.86
Min length1

Characters and Unicode

Total characters393
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

Unique32 ?
Unique (%)64.0%

Sample

1st row20220919
2nd row20230417
3rd row20180831
4th row20230908
5th row20230713
ValueCountFrequency (%)
20230809 3
 
6.0%
20230523 3
 
6.0%
20230519 3
 
6.0%
20230517 3
 
6.0%
20230417 2
 
4.0%
20230713 2
 
4.0%
20230605 2
 
4.0%
20230926 1
 
2.0%
20230712 1
 
2.0%
20230614 1
 
2.0%
Other values (29) 29
58.0%
2024-03-14T03:43:59.050216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
28.8%
2 112
28.5%
3 48
12.2%
1 37
 
9.4%
9 23
 
5.9%
5 15
 
3.8%
8 13
 
3.3%
7 13
 
3.3%
6 10
 
2.5%
4 8
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
28.8%
2 112
28.6%
3 48
12.2%
1 37
 
9.4%
9 23
 
5.9%
5 15
 
3.8%
8 13
 
3.3%
7 13
 
3.3%
6 10
 
2.6%
4 8
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
28.8%
2 112
28.5%
3 48
12.2%
1 37
 
9.4%
9 23
 
5.9%
5 15
 
3.8%
8 13
 
3.3%
7 13
 
3.3%
6 10
 
2.5%
4 8
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
28.8%
2 112
28.5%
3 48
12.2%
1 37
 
9.4%
9 23
 
5.9%
5 15
 
3.8%
8 13
 
3.3%
7 13
 
3.3%
6 10
 
2.5%
4 8
 
2.0%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
50 

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 (%)
- 50
100.0%

Length

2024-03-14T03:43:59.165719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:43:59.235554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50
100.0%

조도관리 검사일자
Text

Distinct36
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:43:59.376149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.58
Min length1

Characters and Unicode

Total characters379
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

Unique26 ?
Unique (%)52.0%

Sample

1st row20220922
2nd row20230417
3rd row20180831
4th row20230908
5th row20230713
ValueCountFrequency (%)
3
 
6.0%
20230809 3
 
6.0%
20230519 3
 
6.0%
20230517 3
 
6.0%
20230523 2
 
4.0%
20230908 2
 
4.0%
20230713 2
 
4.0%
20230605 2
 
4.0%
20230417 2
 
4.0%
20230825 2
 
4.0%
Other values (26) 26
52.0%
2024-03-14T03:43:59.877323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 110
29.0%
2 107
28.2%
3 46
12.1%
1 33
 
8.7%
9 19
 
5.0%
8 17
 
4.5%
5 15
 
4.0%
7 11
 
2.9%
6 10
 
2.6%
4 8
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
99.2%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
29.3%
2 107
28.5%
3 46
12.2%
1 33
 
8.8%
9 19
 
5.1%
8 17
 
4.5%
5 15
 
4.0%
7 11
 
2.9%
6 10
 
2.7%
4 8
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
29.0%
2 107
28.2%
3 46
12.1%
1 33
 
8.7%
9 19
 
5.0%
8 17
 
4.5%
5 15
 
4.0%
7 11
 
2.9%
6 10
 
2.6%
4 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 110
29.0%
2 107
28.2%
3 46
12.1%
1 33
 
8.7%
9 19
 
5.0%
8 17
 
4.5%
5 15
 
4.0%
7 11
 
2.9%
6 10
 
2.6%
4 8
 
2.1%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
-
50 

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 (%)
- 50
100.0%

Length

2024-03-14T03:43:59.988714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:44:00.061877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50
100.0%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.8
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:44:00.121844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20192
Q120224.5
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077180038
Kurtosis1.342488
Mean20223.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011190
Variance243.63265
MonotonicityNot monotonic
2024-03-14T03:44:00.203313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 37
74.0%
20192 5
 
10.0%
20212 3
 
6.0%
20222 2
 
4.0%
20182 2
 
4.0%
20202 1
 
2.0%
ValueCountFrequency (%)
20182 2
 
4.0%
20192 5
 
10.0%
20202 1
 
2.0%
20212 3
 
6.0%
20222 2
 
4.0%
20232 37
74.0%
ValueCountFrequency (%)
20232 37
74.0%
20222 2
 
4.0%
20212 3
 
6.0%
20202 1
 
2.0%
20192 5
 
10.0%
20182 2
 
4.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:44:00.393570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.74
Min length16

Characters and Unicode

Total characters937
Distinct characters45
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

Unique44 ?
Unique (%)88.0%

Sample

1st row서울특별시 은평구 증산로21길 22
2nd row서울특별시 은평구 연서로35길 37
3rd row서울특별시 은평구 갈현로33길 24
4th row서울특별시 은평구 응암로14길 21
5th row서울특별시 은평구 연서로27길 23
ValueCountFrequency (%)
서울특별시 50
25.0%
은평구 50
25.0%
진관4로 3
 
1.5%
진관1로 3
 
1.5%
통일로 3
 
1.5%
갈현로 3
 
1.5%
21 2
 
1.0%
은평로16길 2
 
1.0%
20 2
 
1.0%
22 2
 
1.0%
Other values (69) 80
40.0%
2024-03-14T03:44:00.707215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
서 58
 
6.2%
은 57
 
6.1%
평 57
 
6.1%
울 50
 
5.3%
특 50
 
5.3%
별 50
 
5.3%
시 50
 
5.3%
구 50
 
5.3%
로 49
 
5.2%
Other values (35) 316
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
62.5%
Decimal Number 185
 
19.7%
Space Separator 150
 
16.0%
Dash Punctuation 16
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.9%
2 29
15.7%
3 25
13.5%
7 22
11.9%
5 19
10.3%
4 13
 
7.0%
0 10
 
5.4%
9 9
 
4.9%
6 9
 
4.9%
8 3
 
1.6%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
62.5%
Common 351
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Common
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
62.5%
ASCII 351
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)20220325적합Y20220919실시-O--N-20220919-20220922-20222서울특별시 은평구 증산로21길 22
1서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)20230417적합Y20230922실시--O-N-20230417-20230417-20232서울특별시 은평구 연서로35길 37
2서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)20180831적합Y20180525실시-O--N--20180831-20180831-20182서울특별시 은평구 갈현로33길 24
3서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)20230908적합Y20230823실시-OO-N-20230908-20230908-20232서울특별시 은평구 응암로14길 21
4서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)20230713적합Y20230915실시-O--N-20230713-20230713-20232서울특별시 은평구 연서로27길 23
5서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)20230605적합Y20230920실시-O--N-20230605-20230605-20232서울특별시 은평구 증산서길 53-9
6서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)20230420적합Y20230916실시--O-N-20230420-20230420-20232서울특별시 은평구 진관1로 77-23
7서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)20230519적합Y20230824실시O---N-20230519-20230519-20232서울특별시 은평구 진관2로 111-16
8서울특별시교육청서부교육지원청1ecec08c-f13c-b044-e053-0a32095ab044서울은빛유치원공립(단설)20230519적합Y20230912실시-O--N-20230519-20230519-20232서울특별시 은평구 진관3로 73-11
9서울특별시교육청서부교육지원청1ecec08c-f19a-b044-e053-0a32095ab044선일유치원사립(법인)20230908적합Y20230819실시-O--N-20230901-20230908-20232서울특별시 은평구 갈현로29길 27
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)20230523적합Y20230922실시-O--N-20230523---20232서울특별시 은평구 통일로 790-1
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)20230519적합Y20230921실시-O--N-20230519-20230519-20232서울특별시 은평구 진관2로 37
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)20230809적합Y20230921실시-O--N-20230809-20230809-20232서울특별시 은평구 불광로 107
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)20230405적합Y20230923실시-------20230405-20230405-20232서울특별시 은평구 불광로 51
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)20230614적합Y20230722실시-------20230614-20230614-20232서울특별시 은평구 가좌로6길 20
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)20230116적합Y20230817실시-------20221222-20221212-20232서울특별시 은평구 은평로16길 9-1
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)20230517적합Y20230913실시-------20230517-20230517-20232서울특별시 은평구 진관4로 93
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)20230712적합Y20230822실시-------20230712-20230712-20232서울특별시 은평구 진관1로 77-15
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)20230818적합Y20230818실시-------20230818-20230818-20232서울특별시 은평구 통일로 650
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)20230523적합Y20230719실시-------20230523-20230523-20232서울특별시 은평구 진흥로7길 25