Overview

Dataset statistics

Number of variables23
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory190.1 B

Variable types

Categorical15
Text5
Numeric2
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20797/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 (83.8%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (62.9%)Imbalance
공시차수 is highly imbalanced (62.9%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 17:15:31.512813
Analysis finished2024-03-13 17:15:31.726530
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
서울특별시교육청
42 

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 42
100.0%

Length

2024-03-14T02:15:31.771734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:31.845694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 42
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
남부교육지원청
42 

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 42
100.0%

Length

2024-03-14T02:15:31.922621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:31.992617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 42
100.0%

유치원코드
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:15:32.153213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1512
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

Unique42 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed30-b044-e053-0a32095ab044
2nd row1ecec08c-eecc-b044-e053-0a32095ab044
3rd row1ecec08c-eecd-b044-e053-0a32095ab044
4th row1ecec08c-efb3-b044-e053-0a32095ab044
5th row1ecec08c-f1b5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed30-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0726-b044-e053-0a32095ab044 1
 
2.4%
bee9e663-cc40-4da3-a26e-2b77a1a3e3f9 1
 
2.4%
1ecec08d-013f-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-01d4-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0336-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0555-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0568-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056a-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056b-b044-e053-0a32095ab044 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:15:32.426404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 854
56.5%
Lowercase Letter 490
32.4%
Dash Punctuation 168
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
31.1%
4 166
19.4%
3 95
 
11.1%
5 91
 
10.7%
9 58
 
6.8%
1 53
 
6.2%
8 53
 
6.2%
2 45
 
5.3%
6 17
 
2.0%
7 10
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1022
67.6%
Latin 490
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
26.0%
- 168
16.4%
4 166
16.2%
3 95
 
9.3%
5 91
 
8.9%
9 58
 
5.7%
1 53
 
5.2%
8 53
 
5.2%
2 45
 
4.4%
6 17
 
1.7%
Latin
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

유치원명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:15:32.650634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8571429
Min length5

Characters and Unicode

Total characters330
Distinct characters73
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

Unique42 ?
Unique (%)100.0%

Sample

1st row성모유치원
2nd row큰나무유치원
3rd row평강유치원
4th row은하유치원
5th row서울윤중초등학교병설유치원
ValueCountFrequency (%)
성모유치원 1
 
2.4%
서울당중초등학교병설유치원 1
 
2.4%
서울우신초등학교병설유치원 1
 
2.4%
여의도유치원 1
 
2.4%
푸른나라유치원 1
 
2.4%
성요셉유치원 1
 
2.4%
대림유치원 1
 
2.4%
신라유치원 1
 
2.4%
영은유치원 1
 
2.4%
영중유치원 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:15:32.925180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

설립유형
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
사립(사인)
20 
공립(병설)
12 
사립(법인)
10 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
47.6%
공립(병설) 12
28.6%
사립(법인) 10
23.8%

Length

2024-03-14T02:15:33.045103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:33.157387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
47.6%
공립(병설 12
28.6%
사립(법인 10
23.8%

실내공기질 점검일자
Real number (ℝ)

Distinct31
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20227026
Minimum20180226
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T02:15:33.260141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180226
5-th percentile20183291
Q120230444
median20230518
Q320230719
95-th percentile20230915
Maximum20230922
Range50696
Interquartile range (IQR)275

Descriptive statistics

Standard deviation13027.542
Coefficient of variation (CV)0.0006440661
Kurtosis10.413083
Mean20227026
Median Absolute Deviation (MAD)94
Skewness-3.4518861
Sum8.4953511 × 108
Variance1.6971685 × 108
MonotonicityNot monotonic
2024-03-14T02:15:33.356719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20230518 4
 
9.5%
20230531 4
 
9.5%
20230424 3
 
7.1%
20230503 2
 
4.8%
20230414 2
 
4.8%
20230811 2
 
4.8%
20230502 1
 
2.4%
20230530 1
 
2.4%
20230404 1
 
2.4%
20180821 1
 
2.4%
Other values (21) 21
50.0%
ValueCountFrequency (%)
20180226 1
 
2.4%
20180820 1
 
2.4%
20180821 1
 
2.4%
20230223 1
 
2.4%
20230404 1
 
2.4%
20230414 2
4.8%
20230424 3
7.1%
20230425 1
 
2.4%
20230502 1
 
2.4%
20230503 2
4.8%
ValueCountFrequency (%)
20230922 1
2.4%
20230920 1
2.4%
20230915 1
2.4%
20230913 1
2.4%
20230905 1
2.4%
20230823 1
2.4%
20230811 2
4.8%
20230809 1
2.4%
20230803 1
2.4%
20230720 1
2.4%

실내공기질 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
적합
42 

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 42
100.0%

Length

2024-03-14T02:15:33.691276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:33.762405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 42
100.0%

정기소독 의무대상시설여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size174.0 B
True
41 
False
 
1
ValueCountFrequency (%)
True 41
97.6%
False 1
 
2.4%
2024-03-14T02:15:33.830826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct30
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226584
Minimum20151019
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T02:15:33.909814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20151019
5-th percentile20183413
Q120230825
median20230866
Q320230915
95-th percentile20230925
Maximum20230926
Range79907
Interquartile range (IQR)90

Descriptive statistics

Standard deviation16081.894
Coefficient of variation (CV)0.00079508701
Kurtosis14.222316
Mean20226584
Median Absolute Deviation (MAD)47.5
Skewness-3.8139591
Sum8.4951654 × 108
Variance2.5862733 × 108
MonotonicityNot monotonic
2024-03-14T02:15:34.008359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230825 4
 
9.5%
20230830 3
 
7.1%
20230831 3
 
7.1%
20230914 2
 
4.8%
20230920 2
 
4.8%
20230915 2
 
4.8%
20230905 2
 
4.8%
20230926 2
 
4.8%
20230815 1
 
2.4%
20151019 1
 
2.4%
Other values (20) 20
47.6%
ValueCountFrequency (%)
20151019 1
 
2.4%
20180824 1
 
2.4%
20180928 1
 
2.4%
20230621 1
 
2.4%
20230717 1
 
2.4%
20230815 1
 
2.4%
20230816 1
 
2.4%
20230820 1
 
2.4%
20230824 1
 
2.4%
20230825 4
9.5%
ValueCountFrequency (%)
20230926 2
4.8%
20230925 1
2.4%
20230922 1
2.4%
20230921 1
2.4%
20230920 2
4.8%
20230919 1
2.4%
20230918 1
2.4%
20230917 1
2.4%
20230915 2
4.8%
20230914 2
4.8%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
실시
42 

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 42
100.0%

Length

2024-03-14T02:15:34.107223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.181531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 42
100.0%

음용수종류(먹는샘물(생수))
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
35 
O
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 (%)
- 35
83.3%
O 7
 
16.7%

Length

2024-03-14T02:15:34.259451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.336124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35
83.3%
o 7
 
16.7%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
O
30 
-
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 30
71.4%
- 12
 
28.6%

Length

2024-03-14T02:15:34.411616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.485640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 30
71.4%
12
 
28.6%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
28 
O
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 28
66.7%
O 14
33.3%

Length

2024-03-14T02:15:34.562534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.634551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28
66.7%
o 14
33.3%

음용수종류(지하수)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
42 

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 (%)
- 42
100.0%

Length

2024-03-14T02:15:34.722138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.813149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42
100.0%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
N
39 
-
 
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 39
92.9%
- 3
 
7.1%

Length

2024-03-14T02:15:34.887027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:34.966575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 39
92.9%
3
 
7.1%

지하수사용시 검사일자
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
36 
-
6 

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
85.7%
- 6
 
14.3%

Length

2024-03-14T02:15:35.041766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:35.114644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6
100.0%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
42 

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 (%)
- 42
100.0%

Length

2024-03-14T02:15:35.195596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:35.285056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42
100.0%

미세먼지 검사일자
Text

Distinct33
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:15:35.431422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8333333
Min length1

Characters and Unicode

Total characters329
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 (%)61.9%

Sample

1st row20230922
2nd row20230720
3rd row20230424
4th row20230531
5th row20230920
ValueCountFrequency (%)
20230518 3
 
7.1%
20230531 3
 
7.1%
20230414 2
 
4.8%
20230913 2
 
4.8%
20230915 2
 
4.8%
20230811 2
 
4.8%
20230424 2
 
4.8%
20230809 1
 
2.4%
20180820 1
 
2.4%
20230510 1
 
2.4%
Other values (23) 23
54.8%
2024-03-14T02:15:35.721013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95
28.9%
2 94
28.6%
3 48
14.6%
1 33
 
10.0%
5 18
 
5.5%
8 13
 
4.0%
4 12
 
3.6%
9 10
 
3.0%
7 3
 
0.9%
6 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
29.0%
2 94
28.7%
3 48
14.6%
1 33
 
10.1%
5 18
 
5.5%
8 13
 
4.0%
4 12
 
3.7%
9 10
 
3.0%
7 3
 
0.9%
6 2
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
28.9%
2 94
28.6%
3 48
14.6%
1 33
 
10.0%
5 18
 
5.5%
8 13
 
4.0%
4 12
 
3.6%
9 10
 
3.0%
7 3
 
0.9%
6 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
28.9%
2 94
28.6%
3 48
14.6%
1 33
 
10.0%
5 18
 
5.5%
8 13
 
4.0%
4 12
 
3.6%
9 10
 
3.0%
7 3
 
0.9%
6 2
 
0.6%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
42 

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 (%)
- 42
100.0%

Length

2024-03-14T02:15:35.825518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:35.894781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42
100.0%

조도관리 검사일자
Text

Distinct31
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:15:36.028896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6666667
Min length1

Characters and Unicode

Total characters322
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

Unique24 ?
Unique (%)57.1%

Sample

1st row20230922
2nd row20230720
3rd row20230424
4th row20230531
5th row20230920
ValueCountFrequency (%)
20230518 4
 
9.5%
20230424 3
 
7.1%
20230531 3
 
7.1%
20230503 2
 
4.8%
2
 
4.8%
20230915 2
 
4.8%
20230811 2
 
4.8%
20230502 1
 
2.4%
20180820 1
 
2.4%
20230913 1
 
2.4%
Other values (21) 21
50.0%
2024-03-14T02:15:36.289338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
29.5%
0 94
29.2%
3 48
14.9%
1 25
 
7.8%
5 21
 
6.5%
8 13
 
4.0%
4 12
 
3.7%
9 7
 
2.2%
7 3
 
0.9%
- 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
99.4%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
29.7%
0 94
29.4%
3 48
15.0%
1 25
 
7.8%
5 21
 
6.6%
8 13
 
4.1%
4 12
 
3.8%
9 7
 
2.2%
7 3
 
0.9%
6 2
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
29.5%
0 94
29.2%
3 48
14.9%
1 25
 
7.8%
5 21
 
6.5%
8 13
 
4.0%
4 12
 
3.7%
9 7
 
2.2%
7 3
 
0.9%
- 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
29.5%
0 94
29.2%
3 48
14.9%
1 25
 
7.8%
5 21
 
6.5%
8 13
 
4.0%
4 12
 
3.7%
9 7
 
2.2%
7 3
 
0.9%
- 2
 
0.6%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
42 

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 (%)
- 42
100.0%

Length

2024-03-14T02:15:36.393524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:36.463665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42
100.0%

공시차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
20232
39 
20182
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

Length

2024-03-14T02:15:36.533813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:15:36.607213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:15:36.780863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.333333
Min length17

Characters and Unicode

Total characters812
Distinct characters55
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 가마산로89길 7
2nd row서울특별시 영등포구 도신로 31
3rd row서울특별시 영등포구 신길로 27
4th row서울특별시 영등포구 당산로28길 11
5th row서울특별시 영등포구 여의나루로2길 14
ValueCountFrequency (%)
서울특별시 42
25.0%
영등포구 42
25.0%
14 4
 
2.4%
신길로 3
 
1.8%
3 2
 
1.2%
9 2
 
1.2%
양산로 2
 
1.2%
8 2
 
1.2%
도신로 2
 
1.2%
대방천로 2
 
1.2%
Other values (65) 65
38.7%
2024-03-14T02:15:37.077566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
15.5%
영 46
 
5.7%
서 43
 
5.3%
시 43
 
5.3%
등 43
 
5.3%
포 43
 
5.3%
특 42
 
5.2%
별 42
 
5.2%
구 42
 
5.2%
울 42
 
5.2%
Other values (45) 300
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
67.2%
Decimal Number 136
 
16.7%
Space Separator 126
 
15.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
3 19
14.0%
2 17
12.5%
4 14
10.3%
8 12
8.8%
5 12
8.8%
7 10
 
7.4%
9 9
 
6.6%
6 9
 
6.6%
0 7
 
5.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
67.2%
Common 266
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Common
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
67.2%
ASCII 266
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%

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-ed30-b044-e053-0a32095ab044성모유치원사립(법인)20230922적합Y20230914실시-OO-N-20230922-20230922-20232서울특별시 영등포구 가마산로89길 7
1서울특별시교육청남부교육지원청1ecec08c-eecc-b044-e053-0a32095ab044큰나무유치원사립(사인)20230720적합Y20230920실시-O--N-20230720-20230720-20232서울특별시 영등포구 도신로 31
2서울특별시교육청남부교육지원청1ecec08c-eecd-b044-e053-0a32095ab044평강유치원사립(사인)20230424적합Y20230824실시--O-N-20230424-20230424-20232서울특별시 영등포구 신길로 27
3서울특별시교육청남부교육지원청1ecec08c-efb3-b044-e053-0a32095ab044은하유치원사립(법인)20230531적합Y20230925실시-O--N-20230531-20230531-20232서울특별시 영등포구 당산로28길 11
4서울특별시교육청남부교육지원청1ecec08c-f1b5-b044-e053-0a32095ab044서울윤중초등학교병설유치원공립(병설)20230920적합Y20230909실시-O--N-20230920-20230920-20232서울특별시 영등포구 여의나루로2길 14
5서울특별시교육청남부교육지원청1ecec08c-f497-b044-e053-0a32095ab044무지개영재유치원사립(법인)20230515적합Y20230830실시--O-N-20230515-20230515-20232서울특별시 영등포구 양산로17길 8
6서울특별시교육청남부교육지원청1ecec08c-f600-b044-e053-0a32095ab044살레시오성미유치원사립(법인)20230424적합Y20230915실시-O--N-20230424-20230424-20232서울특별시 영등포구 신길로 93
7서울특별시교육청남부교육지원청1ecec08c-f7c4-b044-e053-0a32095ab044한영유치원사립(사인)20230803적합Y20230914실시-O--N-20230803-20230803-20232서울특별시 영등포구 영중로41길 5
8서울특별시교육청남부교육지원청1ecec08c-f88d-b044-e053-0a32095ab044동천유치원사립(사인)20230905적합Y20230905실시-O--N-20230905-20230905-20232서울특별시 영등포구 신길로40길 10
9서울특별시교육청남부교육지원청1ecec08c-f88e-b044-e053-0a32095ab044명신유치원사립(법인)20230522적합Y20230831실시-O--N-20230522-20230522-20232서울특별시 영등포구 신길로41라길 13-9
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
32서울특별시교육청남부교육지원청1ecec08d-080b-b044-e053-0a32095ab044서울대동초등학교병설유치원공립(병설)20230503적합Y20230815실시-O--N-20230503-20230503-20232서울특별시 영등포구 대림로21길 6
33서울특별시교육청남부교육지원청1ecec08d-0b19-b044-e053-0a32095ab044성지유치원사립(사인)20230809적합Y20230920실시-O--N-20230809-20230809-20232서울특별시 영등포구 도신로29길 28
34서울특별시교육청남부교육지원청1ecec08d-0b39-b044-e053-0a32095ab044서울대방초등학교병설유치원공립(병설)20230404적합Y20230820실시-O--N-20230404-20230404-20232서울특별시 영등포구 여의대방로35길 14
35서울특별시교육청남부교육지원청1ecec08d-0d36-b044-e053-0a32095ab044침례유치원사립(법인)20230530적합Y20230922실시-O--N-20230530-20230530-20232서울특별시 영등포구 국제금융로 118
36서울특별시교육청남부교육지원청1ecec08d-0d37-b044-e053-0a32095ab044한신혜원유치원사립(사인)20230531적합Y20230827실시-O--N-20230915-20230915-20232서울특별시 영등포구 양평로24길 9
37서울특별시교육청남부교육지원청1ecec08d-0e0f-b044-e053-0a32095ab044신길에덴유치원사립(사인)20230424적합Y20230830실시-OO-N-20230413-20230424-20232서울특별시 영등포구 신길로38길 21
38서울특별시교육청남부교육지원청1ecec08d-0e56-b044-e053-0a32095ab044서울영림초등학교병설유치원공립(병설)20230503적합Y20230915실시--O-N-20230913-20230503-20232서울특별시 영등포구 시흥대로173길 14
39서울특별시교육청남부교육지원청514a9da1-09dd-41f1-80ad-6ae2336cc998서울대길초등학교병설유치원공립(병설)20230502적합Y20230917실시-------20230502-20230502-20232서울특별시 영등포구 대방천로 206
40서울특별시교육청남부교육지원청bee9e663-cc40-4da3-a26e-2b77a1a3e3f9서울우신초등학교병설유치원공립(병설)20230504적합Y20230926실시-------20230504-20230504-20232서울특별시 영등포구 신길로 190
41서울특별시교육청남부교육지원청c295b114-3f1c-40a9-85ec-0999d036c98c서울선유초등학교병설유치원공립(병설)20230621적합Y20230621실시-------20230621-20230621-20232서울특별시 영등포구 선유로43가길 14