Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory189.5 B

Variable types

Categorical15
Text6
Boolean1
Numeric1

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20785/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
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
음용수종류(먹는샘물(생수)) is highly imbalanced (82.4%)Imbalance
음용수종류(지하수) is highly imbalanced (82.4%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:06:50.844127
Analysis finished2024-03-13 11:06:51.151398
Duration0.31 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

2024-03-13T20:06:51.207101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:51.297637image/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
동부교육지원청
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 38
100.0%

Length

2024-03-13T20:06:51.387382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:51.476220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:51.666767image/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 row0764f8c8-364c-495b-9fbc-b389148b7b4f
2nd row076db651-036b-4bee-80ba-09f0edb4a57a
3rd row1ecec08c-ed85-b044-e053-0a32095ab044
4th row1ecec08c-f053-b044-e053-0a32095ab044
5th row1ecec08c-f1fe-b044-e053-0a32095ab044
ValueCountFrequency (%)
0764f8c8-364c-495b-9fbc-b389148b7b4f 1
 
2.6%
1ecec08d-0c06-b044-e053-0a32095ab044 1
 
2.6%
c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8 1
 
2.6%
1ecec08d-0376-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-078d-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0831-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09a8-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09aa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0ca8-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T20:06:52.005821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
56.7%
Lowercase Letter 441
32.2%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.0%
4 148
19.1%
5 79
 
10.2%
3 73
 
9.4%
9 53
 
6.8%
8 53
 
6.8%
1 51
 
6.6%
2 48
 
6.2%
7 31
 
4.0%
6 22
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
67.8%
Latin 441
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
23.4%
- 152
16.4%
4 148
16.0%
5 79
 
8.5%
3 73
 
7.9%
9 53
 
5.7%
8 53
 
5.7%
1 51
 
5.5%
2 48
 
5.2%
7 31
 
3.3%
Latin
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:52.301600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.9473684
Min length5

Characters and Unicode

Total characters302
Distinct characters64
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 row서울신현초등학교병설유치원
2nd row서울신묵초등학교병설유치원
3rd row서울중곡초등학교병설유치원
4th row서울면동초등학교병설유치원
5th row신일유치원
ValueCountFrequency (%)
서울신현초등학교병설유치원 1
 
2.6%
새아랑유치원 1
 
2.6%
서울양원숲초등학교병설유치원 1
 
2.6%
수산유치원 1
 
2.6%
서울동원초등학교병설유치원 1
 
2.6%
누리에유치원 1
 
2.6%
예원유치원 1
 
2.6%
은성유치원 1
 
2.6%
서울새솔유치원 1
 
2.6%
미림유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T20:06:52.659047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
13 
사립(법인)
3 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 13
34.2%
사립(법인) 3
 
7.9%
공립(단설) 1
 
2.6%

Length

2024-03-13T20:06:52.800366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:52.908952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 13
34.2%
사립(법인 3
 
7.9%
공립(단설 1
 
2.6%

실내공기질 점검일자
Text

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:53.063852image/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

Unique23 ?
Unique (%)60.5%

Sample

1st row20230818
2nd row20230407
3rd row20230921
4th row20230414
5th row20230323
ValueCountFrequency (%)
20230515 4
 
10.5%
20230323 3
 
7.9%
20230904 2
 
5.3%
20230426 2
 
5.3%
20230720 2
 
5.3%
20230522 2
 
5.3%
20220411 1
 
2.6%
1
 
2.6%
20230428 1
 
2.6%
20210708 1
 
2.6%
Other values (19) 19
50.0%
2024-03-13T20:06:53.388197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
32.0%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
4 15
 
5.1%
5 14
 
4.7%
8 10
 
3.4%
7 7
 
2.4%
9 5
 
1.7%
6 3
 
1.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
32.1%
0 85
28.7%
3 40
13.5%
1 22
 
7.4%
4 15
 
5.1%
5 14
 
4.7%
8 10
 
3.4%
7 7
 
2.4%
9 5
 
1.7%
6 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
32.0%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
4 15
 
5.1%
5 14
 
4.7%
8 10
 
3.4%
7 7
 
2.4%
9 5
 
1.7%
6 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
32.0%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
4 15
 
5.1%
5 14
 
4.7%
8 10
 
3.4%
7 7
 
2.4%
9 5
 
1.7%
6 3
 
1.0%

실내공기질 점검결과
Categorical

IMBALANCE 

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

Length

2024-03-13T20:06:53.513757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:53.619603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 37
97.4%
미실시 1
 
2.6%

정기소독 의무대상시설여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-13T20:06:53.691316image/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%
Mean20224526
Minimum20180907
Maximum20230928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T20:06:53.776958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180907
5-th percentile20189241
Q120230350
median20230903
Q320230914
95-th percentile20230927
Maximum20230928
Range50021
Interquartile range (IQR)563.75

Descriptive statistics

Standard deviation14397.248
Coefficient of variation (CV)0.00071187074
Kurtosis4.0928094
Mean20224526
Median Absolute Deviation (MAD)24
Skewness-2.295882
Sum7.6853197 × 108
Variance2.0728075 × 108
MonotonicityNot monotonic
2024-03-13T20:06:53.891189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230908 4
 
10.5%
20230828 2
 
5.3%
20230927 2
 
5.3%
20230901 2
 
5.3%
20230919 2
 
5.3%
20230325 2
 
5.3%
20230912 2
 
5.3%
20230818 2
 
5.3%
20230616 1
 
2.6%
20230921 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
20180907 1
2.6%
20180915 1
2.6%
20190710 1
2.6%
20190916 1
2.6%
20210907 1
2.6%
20210918 1
2.6%
20220802 1
2.6%
20220914 1
2.6%
20230325 2
5.3%
20230427 1
2.6%
ValueCountFrequency (%)
20230928 1
2.6%
20230927 2
5.3%
20230922 1
2.6%
20230921 1
2.6%
20230920 1
2.6%
20230919 2
5.3%
20230916 1
2.6%
20230915 1
2.6%
20230912 2
5.3%
20230911 1
2.6%

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

2024-03-13T20:06:54.003987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:54.085501image/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 row-

Common Values

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

Length

2024-03-13T20:06:54.188251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:54.293828image/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
25 
-
13 

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 (%)
O 25
65.8%
- 13
34.2%

Length

2024-03-13T20:06:54.412784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:54.534613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 25
65.8%
13
34.2%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
-
29 
O
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 29
76.3%
O 9
 
23.7%

Length

2024-03-13T20:06:54.641670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:54.780740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
29
76.3%
o 9
 
23.7%

음용수종류(지하수)
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 rowO
4th row-
5th row-

Common Values

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

Length

2024-03-13T20:06:54.917148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:55.048441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37
97.4%
o 1
 
2.6%

지하수사용시 수질 검사여부
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
N
31 
-
6 
Y
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
N 31
81.6%
- 6
 
15.8%
Y 1
 
2.6%

Length

2024-03-13T20:06:55.157307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:55.246236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 31
81.6%
6
 
15.8%
y 1
 
2.6%

지하수사용시 검사일자
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
27 
-
10 
20161017
 
1

Length

Max length8
Median length1
Mean length1.1842105
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row-
2nd row-
3rd row20161017
4th row
5th row

Common Values

ValueCountFrequency (%)
27
71.1%
- 10
 
26.3%
20161017 1
 
2.6%

Length

2024-03-13T20:06:55.376276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:55.482208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10
90.9%
20161017 1
 
9.1%

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

2024-03-13T20:06:55.594608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:55.680434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

미세먼지 검사일자
Text

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:55.824947image/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

Unique22 ?
Unique (%)57.9%

Sample

1st row20230818
2nd row20230407
3rd row20230921
4th row20221201
5th row20230323
ValueCountFrequency (%)
20230515 4
 
10.5%
20230323 3
 
7.9%
20230904 3
 
7.9%
20230522 2
 
5.3%
20230426 2
 
5.3%
20230720 2
 
5.3%
20190830 1
 
2.6%
20230818 1
 
2.6%
20230321 1
 
2.6%
20230427 1
 
2.6%
Other values (18) 18
47.4%
2024-03-13T20:06:56.127435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 96
32.3%
0 86
29.0%
3 40
13.5%
1 22
 
7.4%
5 14
 
4.7%
4 13
 
4.4%
8 8
 
2.7%
9 7
 
2.4%
7 7
 
2.4%
6 3
 
1.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
32.4%
0 86
29.1%
3 40
13.5%
1 22
 
7.4%
5 14
 
4.7%
4 13
 
4.4%
8 8
 
2.7%
9 7
 
2.4%
7 7
 
2.4%
6 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 96
32.3%
0 86
29.0%
3 40
13.5%
1 22
 
7.4%
5 14
 
4.7%
4 13
 
4.4%
8 8
 
2.7%
9 7
 
2.4%
7 7
 
2.4%
6 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 96
32.3%
0 86
29.0%
3 40
13.5%
1 22
 
7.4%
5 14
 
4.7%
4 13
 
4.4%
8 8
 
2.7%
9 7
 
2.4%
7 7
 
2.4%
6 3
 
1.0%

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

2024-03-13T20:06:56.262408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:56.373682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

조도관리 검사일자
Text

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:56.529703image/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

Unique23 ?
Unique (%)60.5%

Sample

1st row20230818
2nd row20230407
3rd row20230921
4th row20221201
5th row20230323
ValueCountFrequency (%)
20230515 4
 
10.5%
20230323 3
 
7.9%
20230904 2
 
5.3%
20230426 2
 
5.3%
20230720 2
 
5.3%
20230522 2
 
5.3%
20220411 1
 
2.6%
1
 
2.6%
20230428 1
 
2.6%
20210926 1
 
2.6%
Other values (19) 19
50.0%
2024-03-13T20:06:56.892471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 97
32.7%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
5 15
 
5.1%
4 13
 
4.4%
9 7
 
2.4%
8 7
 
2.4%
7 6
 
2.0%
6 4
 
1.3%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 97
32.8%
0 85
28.7%
3 40
13.5%
1 22
 
7.4%
5 15
 
5.1%
4 13
 
4.4%
9 7
 
2.4%
8 7
 
2.4%
7 6
 
2.0%
6 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 97
32.7%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
5 15
 
5.1%
4 13
 
4.4%
9 7
 
2.4%
8 7
 
2.4%
7 6
 
2.0%
6 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 97
32.7%
0 85
28.6%
3 40
13.5%
1 22
 
7.4%
5 15
 
5.1%
4 13
 
4.4%
9 7
 
2.4%
8 7
 
2.4%
7 6
 
2.0%
6 4
 
1.3%

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

2024-03-13T20:06:57.069009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:57.164987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38
100.0%

공시차수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
30 
20192
 
2
20222
 
2
20182
 
2
20212
 
2

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 30
78.9%
20192 2
 
5.3%
20222 2
 
5.3%
20182 2
 
5.3%
20212 2
 
5.3%

Length

2024-03-13T20:06:57.263271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:06:57.360996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 30
78.9%
20192 2
 
5.3%
20222 2
 
5.3%
20182 2
 
5.3%
20212 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T20:06:57.875901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.447368
Min length16

Characters and Unicode

Total characters701
Distinct characters53
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 봉화산로 188
2nd row서울특별시 중랑구 동일로149길 46
3rd row서울특별시 중랑구 면목로23길 20
4th row서울특별시 중랑구 면목로57길 32
5th row서울특별시 중랑구 면목로44길 55
ValueCountFrequency (%)
서울특별시 38
25.0%
중랑구 38
25.0%
봉화산로 3
 
2.0%
동일로 3
 
2.0%
신내로 3
 
2.0%
20 2
 
1.3%
중랑역로 2
 
1.3%
55 2
 
1.3%
32 2
 
1.3%
110 2
 
1.3%
Other values (57) 57
37.5%
2024-03-13T20:06:58.211204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.3%
중 42
 
6.0%
랑 41
 
5.8%
서 38
 
5.4%
특 38
 
5.4%
별 38
 
5.4%
시 38
 
5.4%
구 38
 
5.4%
울 38
 
5.4%
로 37
 
5.3%
Other values (43) 239
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
65.5%
Decimal Number 127
 
18.1%
Space Separator 114
 
16.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Decimal Number
ValueCountFrequency (%)
1 32
25.2%
5 23
18.1%
4 13
10.2%
2 12
 
9.4%
3 10
 
7.9%
0 9
 
7.1%
6 8
 
6.3%
7 8
 
6.3%
9 6
 
4.7%
8 6
 
4.7%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
65.5%
Common 242
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Common
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
65.5%
ASCII 242
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%
Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)20230818적합Y20230616실시-------20230818-20230818-20232서울특별시 중랑구 봉화산로 188
1서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)20230407적합Y20230912실시-------20230407-20230407-20232서울특별시 중랑구 동일로149길 46
2서울특별시교육청동부교육지원청1ecec08c-ed85-b044-e053-0a32095ab044서울중곡초등학교병설유치원공립(병설)20230921적합Y20230828실시---OY20161017-20230921-20230921-20232서울특별시 중랑구 면목로23길 20
3서울특별시교육청동부교육지원청1ecec08c-f053-b044-e053-0a32095ab044서울면동초등학교병설유치원공립(병설)20230414적합Y20230927실시--O-N-20221201-20221201-20232서울특별시 중랑구 면목로57길 32
4서울특별시교육청동부교육지원청1ecec08c-f1fe-b044-e053-0a32095ab044신일유치원사립(사인)20230323적합Y20230927실시-O--N-20230323-20230323-20232서울특별시 중랑구 면목로44길 55
5서울특별시교육청동부교육지원청1ecec08c-f1ff-b044-e053-0a32095ab044아랑유치원사립(사인)20190822적합Y20190916실시-O--N--20190822-20190822-20192서울특별시 중랑구 중랑역로 47
6서울특별시교육청동부교육지원청1ecec08c-f29a-b044-e053-0a32095ab044로뎅유치원사립(사인)20230323적합Y20230901실시-O--N-20230904-20230323-20232서울특별시 중랑구 봉화산로 90
7서울특별시교육청동부교육지원청1ecec08c-f3e9-b044-e053-0a32095ab044영은유치원사립(사인)20230515적합Y20230922실시-O--N-20230515-20230515-20232서울특별시 중랑구 신내로19길 42
8서울특별시교육청동부교육지원청1ecec08c-f56b-b044-e053-0a32095ab044서울면목초등학교병설유치원공립(병설)20230412적합Y20230325실시--O-N-20230405-20230405-20232서울특별시 중랑구 면목로 434
9서울특별시교육청동부교육지원청1ecec08c-f720-b044-e053-0a32095ab044동국유치원사립(사인)20220712적합Y20220914실시-OO-N-20220712-20220712-20222서울특별시 중랑구 용마산로 250
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
28서울특별시교육청동부교육지원청1ecec08d-0c07-b044-e053-0a32095ab044서안유치원사립(사인)20210708적합Y20210907실시-O--N-20210708-20210926-20212서울특별시 중랑구 동일로140길 15
29서울특별시교육청동부교육지원청1ecec08d-0ca8-b044-e053-0a32095ab044미림유치원사립(사인)20220411적합Y20220802실시-O--N-20220411-20220411-20222서울특별시 중랑구 공릉로 65
30서울특별시교육청동부교육지원청1ecec08d-0e09-b044-e053-0a32095ab044진달래유치원사립(사인)20230515적합Y20230919실시-O--N-20230515-20230515-20232서울특별시 중랑구 상봉중앙로1가길 13
31서울특별시교육청동부교육지원청274fc57a-1928-4d00-8b7d-ca05e3a5d20c서울면북초등학교병설유치원공립(병설)20230504적합Y20230828실시--O-N-20230323-20230504-20232서울특별시 중랑구 용마공원로5길 32
32서울특별시교육청동부교육지원청4ce05486-64ac-428e-84b9-69c07789c249정암유치원사립(법인)20230720적합Y20230928실시-OO-N-20230720-20230720-20232서울특별시 중랑구 용마산로118길 55
33서울특별시교육청동부교육지원청94432cea-3906-4d55-bf04-527173edcac1서울중랑초등학교병설유치원공립(병설)20230426적합Y20230804실시O---N-20230426-20230426-20232서울특별시 중랑구 봉우재로6길 26
34서울특별시교육청동부교육지원청b0005379-c35f-4cdf-8d60-e1c2bd49b158서울봉화초등학교병설유치원공립(병설)20230605적합Y20230818실시-------20230605-20230605-20232서울특별시 중랑구 신내로15길 110
35서울특별시교육청동부교육지원청b6a058d4-d077-4426-a262-864967ac2010서울중흥초등학교병설유치원공립(병설)20230427적합Y20230427실시-------20230427-20230427-20232서울특별시 중랑구 봉화산로 82
36서울특별시교육청동부교육지원청c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8서울양원숲초등학교병설유치원공립(병설)20230321적합Y20230325실시-------20230321-20230321-20232서울특별시 중랑구 양원역로 95
37서울특별시교육청동부교육지원청cec68159-711c-4efe-97bd-5d43416a051b서울중목초등학교병설유치원공립(병설)20230503적합Y20230911실시-------20230503-20230503-20232서울특별시 중랑구 동일로 665