Overview

Dataset statistics

Number of variables23
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory192.7 B

Variable types

Categorical14
Text5
Numeric2
Boolean2

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-20791/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
지하수사용시 검사결과 has constant value ""Constant
미세먼지 검사결과 has constant value ""Constant
조도관리 검사결과 has constant value ""Constant
음용수종류(먹는샘물(생수)) is highly imbalanced (57.4%)Imbalance
음용수종류(지하수) is highly imbalanced (57.4%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (57.4%)Imbalance
지하수사용시 검사일자 is highly imbalanced (67.6%)Imbalance
공시차수 is highly imbalanced (67.6%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:23:44.367286
Analysis finished2024-03-13 09:23:44.677666
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
서울특별시교육청
23 

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 23
100.0%

Length

2024-03-13T18:23:44.729851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:44.804641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 23
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
서부교육지원청
23 

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 23
100.0%

Length

2024-03-13T18:23:44.888006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:44.970726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 23
100.0%

유치원코드
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T18:23:45.159770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters828
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

Unique23 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ef03-b044-e053-0a32095ab044
2nd row1ecec08c-f41c-b044-e053-0a32095ab044
3rd row1ecec08c-f41d-b044-e053-0a32095ab044
4th row1ecec08c-f42e-b044-e053-0a32095ab044
5th row1ecec08c-f60d-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ef03-b044-e053-0a32095ab044 1
 
4.3%
1ecec08c-fd1f-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0cb3-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0cb2-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0bc9-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0bc7-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0ba0-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-04ae-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-01d3-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0071-b044-e053-0a32095ab044 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T18:23:45.471758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
17.6%
4 96
11.6%
- 92
11.1%
e 72
8.7%
c 66
8.0%
b 53
 
6.4%
a 52
 
6.3%
3 49
 
5.9%
5 48
 
5.8%
8 29
 
3.5%
Other values (7) 125
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 458
55.3%
Lowercase Letter 278
33.6%
Dash Punctuation 92
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
31.9%
4 96
21.0%
3 49
 
10.7%
5 48
 
10.5%
8 29
 
6.3%
1 28
 
6.1%
2 26
 
5.7%
9 26
 
5.7%
6 5
 
1.1%
7 5
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 72
25.9%
c 66
23.7%
b 53
19.1%
a 52
18.7%
d 18
 
6.5%
f 17
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 550
66.4%
Latin 278
33.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
26.5%
4 96
17.5%
- 92
16.7%
3 49
 
8.9%
5 48
 
8.7%
8 29
 
5.3%
1 28
 
5.1%
2 26
 
4.7%
9 26
 
4.7%
6 5
 
0.9%
Latin
ValueCountFrequency (%)
e 72
25.9%
c 66
23.7%
b 53
19.1%
a 52
18.7%
d 18
 
6.5%
f 17
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
17.6%
4 96
11.6%
- 92
11.1%
e 72
8.7%
c 66
8.0%
b 53
 
6.4%
a 52
 
6.3%
3 49
 
5.9%
5 48
 
5.8%
8 29
 
3.5%
Other values (7) 125
15.1%

유치원명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T18:23:45.668308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.826087
Min length4

Characters and Unicode

Total characters180
Distinct characters58
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

Unique23 ?
Unique (%)100.0%

Sample

1st row연유치원
2nd row벧엘유치원
3rd row예그린유치원
4th row서울인왕초등학교병설유치원
5th row한양제일유치원
ValueCountFrequency (%)
연유치원 1
 
4.3%
새나유치원 1
 
4.3%
신현유치원 1
 
4.3%
세종유치원 1
 
4.3%
홍제성당유치원 1
 
4.3%
현대경복유치원 1
 
4.3%
명지전문대학부속명지유치원 1
 
4.3%
서울홍제초등학교병설유치원 1
 
4.3%
해맑은유치원 1
 
4.3%
서울금화초등학교병설유치원 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T18:23:45.982041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 23
 
12.8%
원 23
 
12.8%
유 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 23
 
12.8%
원 23
 
12.8%
유 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 23
 
12.8%
원 23
 
12.8%
유 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 23
 
12.8%
원 23
 
12.8%
유 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

설립유형
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
사립(사인)
14 
공립(병설)
4 
사립(법인)
4 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 14
60.9%
공립(병설) 4
 
17.4%
사립(법인) 4
 
17.4%
공립(단설) 1
 
4.3%

Length

2024-03-13T18:23:46.116239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:46.226755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 14
60.9%
공립(병설 4
 
17.4%
사립(법인 4
 
17.4%
공립(단설 1
 
4.3%

실내공기질 점검일자
Real number (ℝ)

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20227590
Minimum20190415
Maximum20230913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T18:23:46.334198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190415
5-th percentile20203859
Q120230508
median20230613
Q320230717
95-th percentile20230898
Maximum20230913
Range40498
Interquartile range (IQR)209

Descriptive statistics

Standard deviation10199.179
Coefficient of variation (CV)0.00050422115
Kurtosis9.8951519
Mean20227590
Median Absolute Deviation (MAD)105
Skewness-3.2741069
Sum4.6523458 × 108
Variance1.0402325 × 108
MonotonicityNot monotonic
2024-03-13T18:23:46.443875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20230508 3
13.0%
20230717 3
13.0%
20230613 3
13.0%
20230516 2
 
8.7%
20230829 2
 
8.7%
20190415 1
 
4.3%
20230530 1
 
4.3%
20200909 1
 
4.3%
20230531 1
 
4.3%
20230719 1
 
4.3%
Other values (5) 5
21.7%
ValueCountFrequency (%)
20190415 1
 
4.3%
20200909 1
 
4.3%
20230407 1
 
4.3%
20230414 1
 
4.3%
20230508 3
13.0%
20230516 2
8.7%
20230530 1
 
4.3%
20230531 1
 
4.3%
20230613 3
13.0%
20230627 1
 
4.3%
ValueCountFrequency (%)
20230913 1
 
4.3%
20230906 1
 
4.3%
20230829 2
8.7%
20230719 1
 
4.3%
20230717 3
13.0%
20230627 1
 
4.3%
20230613 3
13.0%
20230531 1
 
4.3%
20230530 1
 
4.3%
20230516 2
8.7%

실내공기질 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
적합
23 

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 23
100.0%

Length

2024-03-13T18:23:46.558260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:46.636712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 23
100.0%

정기소독 의무대상시설여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
23 
ValueCountFrequency (%)
True 23
100.0%
2024-03-13T18:23:46.716903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20228209
Minimum20190725
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T18:23:46.814925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190725
5-th percentile20212174
Q120230815
median20230830
Q320230910
95-th percentile20230922
Maximum20230925
Range40200
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation9243.2933
Coefficient of variation (CV)0.00045695065
Kurtosis13.584918
Mean20228209
Median Absolute Deviation (MAD)77
Skewness-3.668923
Sum4.652488 × 108
Variance85438471
MonotonicityNot monotonic
2024-03-13T18:23:46.940878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20230825 2
 
8.7%
20230830 2
 
8.7%
20230920 1
 
4.3%
20230829 1
 
4.3%
20230922 1
 
4.3%
20230925 1
 
4.3%
20230901 1
 
4.3%
20230717 1
 
4.3%
20230909 1
 
4.3%
20230801 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
20190725 1
4.3%
20210114 1
4.3%
20230717 1
4.3%
20230725 1
4.3%
20230801 1
4.3%
20230808 1
4.3%
20230822 1
4.3%
20230823 1
4.3%
20230825 2
8.7%
20230829 1
4.3%
ValueCountFrequency (%)
20230925 1
4.3%
20230922 1
4.3%
20230920 1
4.3%
20230916 1
4.3%
20230915 1
4.3%
20230912 1
4.3%
20230909 1
4.3%
20230907 1
4.3%
20230904 1
4.3%
20230901 1
4.3%

정기소독 점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
실시
23 

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 23
100.0%

Length

2024-03-13T18:23:47.054528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:47.128506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 23
100.0%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
21 
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 (%)
- 21
91.3%
O 2
 
8.7%

Length

2024-03-13T18:23:47.210899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:47.287972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
91.3%
o 2
 
8.7%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
O
17 
-
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 17
73.9%
- 6
 
26.1%

Length

2024-03-13T18:23:47.369848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:47.449608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 17
73.9%
6
 
26.1%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
16 
O
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 16
69.6%
O 7
30.4%

Length

2024-03-13T18:23:47.532536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:47.614990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16
69.6%
o 7
30.4%

음용수종류(지하수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
21 
O
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 21
91.3%
O 2
 
8.7%

Length

2024-03-13T18:23:47.696164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:47.781497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
91.3%
o 2
 
8.7%

지하수사용시 수질 검사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size155.0 B
False
21 
True
 
2
ValueCountFrequency (%)
False 21
91.3%
True 2
 
8.7%
2024-03-13T18:23:47.849904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지하수사용시 검사일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
21 
20161115
 
1
20170315
 
1

Length

Max length8
Median length1
Mean length1.6086957
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row
2nd row
3rd row20161115
4th row
5th row

Common Values

ValueCountFrequency (%)
21
91.3%
20161115 1
 
4.3%
20170315 1
 
4.3%

Length

2024-03-13T18:23:47.937264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:48.024630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20161115 1
50.0%
20170315 1
50.0%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
23 

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 (%)
- 23
100.0%

Length

2024-03-13T18:23:48.130478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:48.486316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
100.0%

미세먼지 검사일자
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T18:23:48.605620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6956522
Min length1

Characters and Unicode

Total characters177
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

Unique14 ?
Unique (%)60.9%

Sample

1st row20230904
2nd row20230516
3rd row20190415
4th row20230530
5th row20230717
ValueCountFrequency (%)
20230717 3
 
13.0%
20230829 2
 
8.7%
20230613 2
 
8.7%
20230516 2
 
8.7%
20230926 1
 
4.3%
20230904 1
 
4.3%
20230710 1
 
4.3%
20230508 1
 
4.3%
20230407 1
 
4.3%
20230901 1
 
4.3%
Other values (8) 8
34.8%
2024-03-13T18:23:48.909574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
29.9%
2 47
26.6%
3 26
14.7%
1 14
 
7.9%
9 10
 
5.6%
7 8
 
4.5%
5 6
 
3.4%
6 6
 
3.4%
8 3
 
1.7%
4 3
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
30.1%
2 47
26.7%
3 26
14.8%
1 14
 
8.0%
9 10
 
5.7%
7 8
 
4.5%
5 6
 
3.4%
6 6
 
3.4%
8 3
 
1.7%
4 3
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
29.9%
2 47
26.6%
3 26
14.7%
1 14
 
7.9%
9 10
 
5.6%
7 8
 
4.5%
5 6
 
3.4%
6 6
 
3.4%
8 3
 
1.7%
4 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
29.9%
2 47
26.6%
3 26
14.7%
1 14
 
7.9%
9 10
 
5.6%
7 8
 
4.5%
5 6
 
3.4%
6 6
 
3.4%
8 3
 
1.7%
4 3
 
1.7%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
23 

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 (%)
- 23
100.0%

Length

2024-03-13T18:23:49.068787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:49.147850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
100.0%

조도관리 검사일자
Text

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T18:23:49.267790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.6956522
Min length1

Characters and Unicode

Total characters177
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

Unique11 ?
Unique (%)47.8%

Sample

1st row20230912
2nd row20230516
3rd row20190415
4th row20230530
5th row20230717
ValueCountFrequency (%)
20230717 3
13.0%
20230508 3
13.0%
20230516 2
 
8.7%
20230613 2
 
8.7%
20230829 2
 
8.7%
20230912 1
 
4.3%
20190415 1
 
4.3%
20230530 1
 
4.3%
20200909 1
 
4.3%
1
 
4.3%
Other values (6) 6
26.1%
2024-03-13T18:23:49.534019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
29.4%
2 47
26.6%
3 25
14.1%
1 13
 
7.3%
5 9
 
5.1%
9 8
 
4.5%
7 7
 
4.0%
8 5
 
2.8%
6 5
 
2.8%
4 5
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
29.5%
2 47
26.7%
3 25
14.2%
1 13
 
7.4%
5 9
 
5.1%
9 8
 
4.5%
7 7
 
4.0%
8 5
 
2.8%
6 5
 
2.8%
4 5
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
29.4%
2 47
26.6%
3 25
14.1%
1 13
 
7.3%
5 9
 
5.1%
9 8
 
4.5%
7 7
 
4.0%
8 5
 
2.8%
6 5
 
2.8%
4 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
29.4%
2 47
26.6%
3 25
14.1%
1 13
 
7.3%
5 9
 
5.1%
9 8
 
4.5%
7 7
 
4.0%
8 5
 
2.8%
6 5
 
2.8%
4 5
 
2.8%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
23 

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 (%)
- 23
100.0%

Length

2024-03-13T18:23:49.648139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:49.727637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
100.0%

공시차수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
20232
21 
20192
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row20232
2nd row20232
3rd row20192
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 21
91.3%
20192 1
 
4.3%
20212 1
 
4.3%

Length

2024-03-13T18:23:49.810884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:49.891340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 21
91.3%
20192 1
 
4.3%
20212 1
 
4.3%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T18:23:50.059481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.608696
Min length17

Characters and Unicode

Total characters451
Distinct characters54
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 서대문구 명지대길 39-4
2nd row서울특별시 서대문구 연희로10길 17-6
3rd row서울특별시 서대문구 홍제내길 84
4th row서울특별시 서대문구 세무서길 33-9
5th row서울특별시 서대문구 통일로25길 30
ValueCountFrequency (%)
서울특별시 23
25.0%
서대문구 23
25.0%
가재울로 1
 
1.1%
45 1
 
1.1%
신촌로 1
 
1.1%
43 1
 
1.1%
통일로 1
 
1.1%
165 1
 
1.1%
거북골로21길 1
 
1.1%
55 1
 
1.1%
Other values (38) 38
41.3%
2024-03-13T18:23:50.392607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
15.3%
서 47
 
10.4%
대 26
 
5.8%
울 24
 
5.3%
특 23
 
5.1%
별 23
 
5.1%
시 23
 
5.1%
문 23
 
5.1%
구 23
 
5.1%
로 17
 
3.8%
Other values (44) 153
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
67.6%
Decimal Number 74
 
16.4%
Space Separator 69
 
15.3%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
로 17
 
5.6%
길 17
 
5.6%
Other values (32) 59
19.3%
Decimal Number
ValueCountFrequency (%)
1 14
18.9%
3 13
17.6%
2 11
14.9%
5 8
10.8%
4 7
9.5%
6 7
9.5%
9 4
 
5.4%
0 4
 
5.4%
8 4
 
5.4%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
67.6%
Common 146
32.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
로 17
 
5.6%
길 17
 
5.6%
Other values (32) 59
19.3%
Common
ValueCountFrequency (%)
69
47.3%
1 14
 
9.6%
3 13
 
8.9%
2 11
 
7.5%
5 8
 
5.5%
4 7
 
4.8%
6 7
 
4.8%
9 4
 
2.7%
0 4
 
2.7%
8 4
 
2.7%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
67.6%
ASCII 146
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
47.3%
1 14
 
9.6%
3 13
 
8.9%
2 11
 
7.5%
5 8
 
5.5%
4 7
 
4.8%
6 7
 
4.8%
9 4
 
2.7%
0 4
 
2.7%
8 4
 
2.7%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
로 17
 
5.6%
길 17
 
5.6%
Other values (32) 59
19.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청서부교육지원청1ecec08c-ef03-b044-e053-0a32095ab044연유치원사립(사인)20230508적합Y20230920실시-O--N-20230904-20230912-20232서울특별시 서대문구 명지대길 39-4
1서울특별시교육청서부교육지원청1ecec08c-f41c-b044-e053-0a32095ab044벧엘유치원사립(사인)20230516적합Y20230904실시--O-N-20230516-20230516-20232서울특별시 서대문구 연희로10길 17-6
2서울특별시교육청서부교육지원청1ecec08c-f41d-b044-e053-0a32095ab044예그린유치원사립(사인)20190415적합Y20190725실시---OY20161115-20190415-20190415-20192서울특별시 서대문구 홍제내길 84
3서울특별시교육청서부교육지원청1ecec08c-f42e-b044-e053-0a32095ab044서울인왕초등학교병설유치원공립(병설)20230530적합Y20230916실시-O--N-20230530-20230530-20232서울특별시 서대문구 세무서길 33-9
4서울특별시교육청서부교육지원청1ecec08c-f60d-b044-e053-0a32095ab044한양제일유치원사립(법인)20230717적합Y20230825실시-O--N-20230717-20230717-20232서울특별시 서대문구 통일로25길 30
5서울특별시교육청서부교육지원청1ecec08c-f64b-b044-e053-0a32095ab044경복유치원사립(사인)20230613적합Y20230830실시--O-N-20230613-20230613-20232서울특별시 서대문구 세검정로1길 95
6서울특별시교육청서부교육지원청1ecec08c-faa4-b044-e053-0a32095ab044조은유치원사립(사인)20230717적합Y20230912실시-O--N-20230717-20230717-20232서울특별시 서대문구 증가로 191
7서울특별시교육청서부교육지원청1ecec08c-faa6-b044-e053-0a32095ab044현대홍익유치원사립(사인)20230717적합Y20230907실시-OO-N-20230717-20230717-20232서울특별시 서대문구 모래내로 432
8서울특별시교육청서부교육지원청1ecec08c-fb86-b044-e053-0a32095ab044이화여자대학교사범대학부속이화유치원사립(법인)20230508적합Y20230822실시-O--N-20230321-20230508-20232서울특별시 서대문구 이화여대길 52
9서울특별시교육청서부교육지원청1ecec08c-fb87-b044-e053-0a32095ab044인왕유치원사립(사인)20200909적합Y20210114실시-O--N-20200909-20200909-20212서울특별시 서대문구 통일로32길 23
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
13서울특별시교육청서부교육지원청1ecec08c-ffd9-b044-e053-0a32095ab044신촌유치원사립(사인)20230516적합Y20230725실시-O--N-20230516-20230516-20232서울특별시 서대문구 신촌로 43
14서울특별시교육청서부교육지원청1ecec08d-0071-b044-e053-0a32095ab044서울금화초등학교병설유치원공립(병설)20230829적합Y20230915실시--O-N-20230829-20230829-20232서울특별시 서대문구 통일로 165
15서울특별시교육청서부교육지원청1ecec08d-01d3-b044-e053-0a32095ab044해맑은유치원사립(사인)20230719적합Y20230801실시-O--N-20230710-20230508-20232서울특별시 서대문구 거북골로21길 55
16서울특별시교육청서부교육지원청1ecec08d-04ae-b044-e053-0a32095ab044서울홍제초등학교병설유치원공립(병설)20230627적합Y20230909실시--OOY20170315-20230926-20230524-20232서울특별시 서대문구 홍은중앙로 13
17서울특별시교육청서부교육지원청1ecec08d-0ba0-b044-e053-0a32095ab044명지전문대학부속명지유치원사립(법인)20230613적합Y20230717실시-O--N-20230613-20230613-20232서울특별시 서대문구 명지2길 37
18서울특별시교육청서부교육지원청1ecec08d-0bc7-b044-e053-0a32095ab044현대경복유치원사립(사인)20230913적합Y20230825실시O---N-20230913-20230913-20232서울특별시 서대문구 통일로34길 66
19서울특별시교육청서부교육지원청1ecec08d-0bc9-b044-e053-0a32095ab044홍제성당유치원사립(법인)20230414적합Y20230901실시-O--N-20230901-20230414-20232서울특별시 서대문구 통일로40길 18
20서울특별시교육청서부교육지원청1ecec08d-0cb2-b044-e053-0a32095ab044세종유치원사립(사인)20230407적합Y20230925실시OO--N-20230407-20230407-20232서울특별시 서대문구 거북골로16길 36
21서울특별시교육청서부교육지원청1ecec08d-0cb3-b044-e053-0a32095ab044신현유치원사립(사인)20230508적합Y20230830실시-OO-N-20230508-20230508-20232서울특별시 서대문구 이화여대8길 28
22서울특별시교육청서부교육지원청8029c453-5828-459d-86ad-38f5de7ecda7서울가재울초등학교병설유치원공립(병설)20230906적합Y20230922실시-OO-N-20230906-20230906-20232서울특별시 서대문구 모래내로15길 61