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 memory190.7 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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20788/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
실내공기질 점검결과 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
음용수종류(먹는샘물(생수)) is highly imbalanced (69.0%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 07:32:24.226378
Analysis finished2024-03-13 07:32:24.523247
Duration0.3 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

2024-03-13T16:32:24.579316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:24.661980image/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
북부교육지원청
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 36
100.0%

Length

2024-03-13T16:32:24.745898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:24.825350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:32:24.991212image/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 row12c109c2-23b7-4e98-a3e1-57e391f3a55a
2nd row1ecec08c-ed87-b044-e053-0a32095ab044
3rd row1ecec08c-ee11-b044-e053-0a32095ab044
4th row1ecec08c-eecf-b044-e053-0a32095ab044
5th row1ecec08c-eed0-b044-e053-0a32095ab044
ValueCountFrequency (%)
12c109c2-23b7-4e98-a3e1-57e391f3a55a 1
 
2.8%
1ecec08c-ed87-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e2d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08cf-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-09d1-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0b9f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0ba6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0d3d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e36-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:32:25.298509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
55.6%
Lowercase Letter 431
33.3%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
27.9%
4 142
19.7%
3 76
 
10.5%
5 74
 
10.3%
1 53
 
7.4%
8 51
 
7.1%
9 48
 
6.7%
2 47
 
6.5%
6 15
 
2.1%
7 14
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
66.7%
Latin 431
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
23.2%
- 144
16.6%
4 142
16.4%
3 76
 
8.8%
5 74
 
8.6%
1 53
 
6.1%
8 51
 
5.9%
9 48
 
5.5%
2 47
 
5.4%
6 15
 
1.7%
Latin
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:32:25.505775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.4444444
Min length5

Characters and Unicode

Total characters268
Distinct characters70
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 row서울월천초등학교병설유치원
2nd row햇살유치원
3rd row행복한유치원
4th row선희유치원
5th row슬기유치원
ValueCountFrequency (%)
서울월천초등학교병설유치원 1
 
2.8%
햇살유치원 1
 
2.8%
나래유치원 1
 
2.8%
한사랑유치원 1
 
2.8%
솔샘유치원 1
 
2.8%
유화유치원 1
 
2.8%
서울신창초등학교병설유치원 1
 
2.8%
예그린유치원 1
 
2.8%
신창유치원 1
 
2.8%
지현유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:32:25.897581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
13.8%
36
13.4%
36
13.4%
12
 
4.5%
11
 
4.1%
11
 
4.1%
10
 
3.7%
9
 
3.4%
9
 
3.4%
9
 
3.4%
Other values (60) 88
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
13.8%
36
13.4%
36
13.4%
12
 
4.5%
11
 
4.1%
11
 
4.1%
10
 
3.7%
9
 
3.4%
9
 
3.4%
9
 
3.4%
Other values (60) 88
32.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
13.8%
36
13.4%
36
13.4%
12
 
4.5%
11
 
4.1%
11
 
4.1%
10
 
3.7%
9
 
3.4%
9
 
3.4%
9
 
3.4%
Other values (60) 88
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
13.8%
36
13.4%
36
13.4%
12
 
4.5%
11
 
4.1%
11
 
4.1%
10
 
3.7%
9
 
3.4%
9
 
3.4%
9
 
3.4%
Other values (60) 88
32.8%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
22 
공립(병설)
사립(법인)
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 row사립(사인)
4th row사립(사인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 22
61.1%
공립(병설) 9
25.0%
사립(법인) 3
 
8.3%
공립(단설) 2
 
5.6%

Length

2024-03-13T16:32:26.018163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:26.123880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 22
61.1%
공립(병설 9
25.0%
사립(법인 3
 
8.3%
공립(단설 2
 
5.6%
Distinct30
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220426
Minimum20170908
Maximum20230915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:32:26.233864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170908
5-th percentile20177922
Q120230390
median20230606
Q320230808
95-th percentile20230912
Maximum20230915
Range60007
Interquartile range (IQR)417.5

Descriptive statistics

Standard deviation20301.046
Coefficient of variation (CV)0.0010039871
Kurtosis0.98145958
Mean20220426
Median Absolute Deviation (MAD)201.5
Skewness-1.6377066
Sum7.2793534 × 108
Variance4.1213248 × 108
MonotonicityNot monotonic
2024-03-13T16:32:26.336567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230807 3
 
8.3%
20230511 2
 
5.6%
20230912 2
 
5.6%
20230428 2
 
5.6%
20230605 2
 
5.6%
20230609 1
 
2.8%
20180917 1
 
2.8%
20230809 1
 
2.8%
20170908 1
 
2.8%
20230720 1
 
2.8%
Other values (20) 20
55.6%
ValueCountFrequency (%)
20170908 1
2.8%
20171027 1
2.8%
20180221 1
2.8%
20180809 1
2.8%
20180917 1
2.8%
20190911 1
2.8%
20190927 1
2.8%
20210527 1
2.8%
20230327 1
2.8%
20230411 1
2.8%
ValueCountFrequency (%)
20230915 1
 
2.8%
20230914 1
 
2.8%
20230912 2
5.6%
20230904 1
 
2.8%
20230828 1
 
2.8%
20230825 1
 
2.8%
20230824 1
 
2.8%
20230809 1
 
2.8%
20230807 3
8.3%
20230721 1
 
2.8%

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

2024-03-13T16:32:26.448658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:26.527617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 36
100.0%
Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
36 
ValueCountFrequency (%)
True 36
100.0%
2024-03-13T16:32:26.608874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220832
Minimum20180714
Maximum20230919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:32:26.711527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180714
5-th percentile20180826
Q120227819
median20230825
Q320230904
95-th percentile20230916
Maximum20230919
Range50205
Interquartile range (IQR)3085

Descriptive statistics

Standard deviation18964.249
Coefficient of variation (CV)0.00093785699
Kurtosis0.56881135
Mean20220832
Median Absolute Deviation (MAD)82
Skewness-1.5394312
Sum7.2794996 × 108
Variance3.5964273 × 108
MonotonicityNot monotonic
2024-03-13T16:32:26.832340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20230831 2
 
5.6%
20230818 2
 
5.6%
20230904 2
 
5.6%
20230822 1
 
2.8%
20230919 1
 
2.8%
20230814 1
 
2.8%
20230829 1
 
2.8%
20230906 1
 
2.8%
20180714 1
 
2.8%
20181001 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
20180714 1
2.8%
20180821 1
2.8%
20180828 1
2.8%
20180928 1
2.8%
20181001 1
2.8%
20190827 1
2.8%
20190916 1
2.8%
20210930 1
2.8%
20220325 1
2.8%
20230317 1
2.8%
ValueCountFrequency (%)
20230919 1
2.8%
20230918 1
2.8%
20230916 1
2.8%
20230914 1
2.8%
20230912 1
2.8%
20230910 1
2.8%
20230908 1
2.8%
20230906 1
2.8%
20230904 2
5.6%
20230902 1
2.8%

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

2024-03-13T16:32:26.934318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.014140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 36
100.0%
Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
34 
O
 
2

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 (%)
- 34
94.4%
O 2
 
5.6%

Length

2024-03-13T16:32:27.097659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.175701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34
94.4%
o 2
 
5.6%
Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
O
20 
-
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 20
55.6%
- 16
44.4%

Length

2024-03-13T16:32:27.263537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.351436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 20
55.6%
16
44.4%
Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
-
27 
O

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 27
75.0%
O 9
 
25.0%

Length

2024-03-13T16:32:27.443222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.526713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27
75.0%
o 9
 
25.0%

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

2024-03-13T16:32:27.610778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.688674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%
Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
N
28 
-

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 28
77.8%
- 8
 
22.2%

Length

2024-03-13T16:32:27.772228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:27.873387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 28
77.8%
8
 
22.2%
Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
21 
-
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 (%)
21
58.3%
- 15
41.7%

Length

2024-03-13T16:32:27.983968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:28.088443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15
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

2024-03-13T16:32:28.422213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:28.497781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%
Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:32:28.643536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6111111
Min length1

Characters and Unicode

Total characters274
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

Unique23 ?
Unique (%)63.9%

Sample

1st row20230320
2nd row20221021
3rd row20230714
4th row20230825
5th row20230511
ValueCountFrequency (%)
20230807 3
 
8.3%
20230511 2
 
5.6%
20230605 2
 
5.6%
20230912 2
 
5.6%
20230320 2
 
5.6%
2
 
5.6%
20180917 1
 
2.8%
20230721 1
 
2.8%
20230713 1
 
2.8%
20230720 1
 
2.8%
Other values (19) 19
52.8%
2024-03-13T16:32:28.937044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
29.2%
2 78
28.5%
3 33
12.0%
1 27
 
9.9%
9 13
 
4.7%
8 12
 
4.4%
7 12
 
4.4%
6 6
 
2.2%
4 6
 
2.2%
5 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 272
99.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
29.4%
2 78
28.7%
3 33
12.1%
1 27
 
9.9%
9 13
 
4.8%
8 12
 
4.4%
7 12
 
4.4%
6 6
 
2.2%
4 6
 
2.2%
5 5
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
29.2%
2 78
28.5%
3 33
12.0%
1 27
 
9.9%
9 13
 
4.7%
8 12
 
4.4%
7 12
 
4.4%
6 6
 
2.2%
4 6
 
2.2%
5 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
29.2%
2 78
28.5%
3 33
12.0%
1 27
 
9.9%
9 13
 
4.7%
8 12
 
4.4%
7 12
 
4.4%
6 6
 
2.2%
4 6
 
2.2%
5 5
 
1.8%

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

2024-03-13T16:32:29.064280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:29.157574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%
Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:32:29.296606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.2222222
Min length1

Characters and Unicode

Total characters260
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 (%)58.3%

Sample

1st row-
2nd row20221021
3rd row20230901
4th row20230825
5th row20230511
ValueCountFrequency (%)
4
 
11.1%
20230807 3
 
8.3%
20230511 2
 
5.6%
20230605 2
 
5.6%
20230428 2
 
5.6%
20230912 2
 
5.6%
20230720 1
 
2.8%
20230721 1
 
2.8%
20230228 1
 
2.8%
20230601 1
 
2.8%
Other values (17) 17
47.2%
2024-03-13T16:32:29.568148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 75
28.8%
0 75
28.8%
3 29
 
11.2%
1 25
 
9.6%
8 14
 
5.4%
7 11
 
4.2%
9 10
 
3.8%
6 7
 
2.7%
5 5
 
1.9%
4 5
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 256
98.5%
Dash Punctuation 4
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 75
29.3%
0 75
29.3%
3 29
 
11.3%
1 25
 
9.8%
8 14
 
5.5%
7 11
 
4.3%
9 10
 
3.9%
6 7
 
2.7%
5 5
 
2.0%
4 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 75
28.8%
0 75
28.8%
3 29
 
11.2%
1 25
 
9.6%
8 14
 
5.4%
7 11
 
4.2%
9 10
 
3.8%
6 7
 
2.7%
5 5
 
1.9%
4 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 75
28.8%
0 75
28.8%
3 29
 
11.2%
1 25
 
9.6%
8 14
 
5.4%
7 11
 
4.2%
9 10
 
3.8%
6 7
 
2.7%
5 5
 
1.9%
4 5
 
1.9%

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

2024-03-13T16:32:29.681294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:29.761754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
100.0%

공시차수
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
28 
20182
20192
 
2
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

Length

2024-03-13T16:32:29.845981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:32:29.966574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:32:30.149883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.805556
Min length17

Characters and Unicode

Total characters677
Distinct characters43
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

Unique32 ?
Unique (%)88.9%

Sample

1st row서울특별시 도봉구 노해로70길 96
2nd row서울특별시 도봉구 우이천로32길 38
3rd row서울특별시 도봉구 시루봉로6길 86
4th row서울특별시 도봉구 해등로 241
5th row서울특별시 도봉구 도봉로180나길 33-29
ValueCountFrequency (%)
서울특별시 36
25.0%
도봉구 36
25.0%
해등로 5
 
3.5%
마들로 4
 
2.8%
96 2
 
1.4%
101 2
 
1.4%
시루봉로 2
 
1.4%
노해로 2
 
1.4%
567 2
 
1.4%
도당로6길 2
 
1.4%
Other values (50) 51
35.4%
2024-03-13T16:32:30.523123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.0%
43
 
6.4%
42
 
6.2%
39
 
5.8%
36
 
5.3%
36
 
5.3%
36
 
5.3%
36
 
5.3%
36
 
5.3%
35
 
5.2%
Other values (33) 230
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
62.8%
Decimal Number 137
 
20.2%
Space Separator 108
 
16.0%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
10.1%
42
9.9%
39
9.2%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
35
8.2%
19
 
4.5%
Other values (21) 67
15.8%
Decimal Number
ValueCountFrequency (%)
1 28
20.4%
6 21
15.3%
3 15
10.9%
2 14
10.2%
9 13
9.5%
4 12
8.8%
7 11
 
8.0%
0 10
 
7.3%
8 7
 
5.1%
5 6
 
4.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
62.8%
Common 252
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
10.1%
42
9.9%
39
9.2%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
35
8.2%
19
 
4.5%
Other values (21) 67
15.8%
Common
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
62.8%
ASCII 252
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%
Hangul
ValueCountFrequency (%)
43
10.1%
42
9.9%
39
9.2%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
36
8.5%
35
8.2%
19
 
4.5%
Other values (21) 67
15.8%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)20230609적합Y20230822실시-------20230320---20232서울특별시 도봉구 노해로70길 96
1서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)20230915적합Y20230317실시-O--N-20221021-20221021-20232서울특별시 도봉구 우이천로32길 38
2서울특별시교육청북부교육지원청1ecec08c-ee11-b044-e053-0a32095ab044행복한유치원사립(사인)20230714적합Y20230816실시-O--N-20230714-20230901-20232서울특별시 도봉구 시루봉로6길 86
3서울특별시교육청북부교육지원청1ecec08c-eecf-b044-e053-0a32095ab044선희유치원사립(사인)20230825적합Y20230830실시-O--N-20230825-20230825-20232서울특별시 도봉구 해등로 241
4서울특별시교육청북부교육지원청1ecec08c-eed0-b044-e053-0a32095ab044슬기유치원사립(사인)20230511적합Y20230918실시-OO-N-20230511-20230511-20232서울특별시 도봉구 도봉로180나길 33-29
5서울특별시교육청북부교육지원청1ecec08c-efcc-b044-e053-0a32095ab044보나유치원사립(사인)20230411적합Y20230818실시-O--N-20230831-20230831-20232서울특별시 도봉구 해등로 307
6서울특별시교육청북부교육지원청1ecec08c-efd9-b044-e053-0a32095ab044정의유치원사립(법인)20230807적합Y20230908실시--O-N-20230807-20230807-20232서울특별시 도봉구 노해로49길 69
7서울특별시교육청북부교육지원청1ecec08c-efda-b044-e053-0a32095ab044청아유치원사립(사인)20230807적합Y20230823실시-O--N-20230807-20230807-20232서울특별시 도봉구 노해로69가길 11
8서울특별시교육청북부교육지원청1ecec08c-f050-b044-e053-0a32095ab044예랑유치원사립(사인)20210527적합Y20210930실시-O--N-20210930---20212서울특별시 도봉구 해등로4길 9
9서울특별시교육청북부교육지원청1ecec08c-f404-b044-e053-0a32095ab044다솜유치원사립(사인)20171027적합Y20180828실시-OO-N--20171027-20171027-20182서울특별시 도봉구 해등로 195
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
26서울특별시교육청북부교육지원청1ecec08d-0e2d-b044-e053-0a32095ab044나래유치원사립(사인)20230720적합Y20230919실시--O-N-20230720-20230720-20232서울특별시 도봉구 마들로 684-9
27서울특별시교육청북부교육지원청1ecec08d-0e36-b044-e053-0a32095ab044지현유치원사립(사인)20180917적합Y20181001실시--O-N--20180917-20180917-20182서울특별시 도봉구 도봉산3길 21
28서울특별시교육청북부교육지원청1ecec08d-0ec5-b044-e053-0a32095ab044자연아이유치원사립(사인)20190911적합Y20190827실시O---N--20190911-20190911-20192서울특별시 도봉구 도당로6길 14-11
29서울특별시교육청북부교육지원청6a9d51ce-eb32-4ff3-b2c8-16baa768c7ed서울신학초등학교병설유치원공립(병설)20230904적합Y20230904실시-------20230904-20230904-20232서울특별시 도봉구 방학로 247-21
30서울특별시교육청북부교육지원청78c914ee-918a-42da-bb74-3214158a262e서울쌍문초등학교병설유치원공립(병설)20230614적합Y20220325실시-------20230614-20230614-20232서울특별시 도봉구 우이천로 360
31서울특별시교육청북부교육지원청86a6794b-12d6-4ee1-b47c-f03260e69af8서울가인초등학교병설유치원공립(병설)20230601적합Y20230826실시-------20230320-20230601-20232서울특별시 도봉구 도봉로136다길 4
32서울특별시교육청북부교육지원청90accaf4-0b0f-42a0-bf14-dabb5c82db9f서울방학유치원공립(단설)20230511적합Y20230828실시-------20230511-20230511-20232서울특별시 도봉구 도당로6길 14-11
33서울특별시교육청북부교육지원청9274b95a-f964-4434-aa72-f188312b1983서울오봉초등학교병설유치원공립(병설)20230914적합Y20230818실시-------20230914-20230228-20232서울특별시 도봉구 시루봉로 285
34서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)20230428적합Y20230910실시-------20230428-20230428-20232서울특별시 도봉구 마들로 567
35서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)20230421적합Y20230916실시-------20230616-20230616-20232서울특별시 도봉구 노해로 179