Overview

Dataset statistics

Number of variables22
Number of observations36
Missing cells15
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory188.7 B

Variable types

Categorical6
Text3
Boolean5
Numeric8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,소방대피훈련여부,소방대피훈련일자,가스점검여부,가스점검일자,소방안전점검여부,소방안전점검일자,전기설비점검여부,전기설비점검일자,놀이시설 안전검사 대상여부,놀이시설 안전검사 점검일자,놀이시설 안전검사 점검결과,CCTV 설치여부,CCTV 총 설치수,CCTV 건물 안 설치수,CCTV 건물 밖 설치수,공시차수,주소
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20820/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
소방안전점검여부 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
소방대피훈련여부 is highly imbalanced (69.0%)Imbalance
가스점검여부 is highly imbalanced (77.0%)Imbalance
공시차수 is highly imbalanced (57.1%)Imbalance
소방대피훈련일자 has 2 (5.6%) missing valuesMissing
가스점검일자 has 2 (5.6%) missing valuesMissing
놀이시설 안전검사 점검일자 has 10 (27.8%) missing valuesMissing
CCTV 건물 안 설치수 has 1 (2.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
CCTV 건물 안 설치수 has 2 (5.6%) zerosZeros
CCTV 건물 밖 설치수 has 2 (5.6%) zerosZeros

Reproduction

Analysis started2024-03-13 13:15:57.645320
Analysis finished2024-03-13 13:15:57.942269
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

2024-03-13T22:15:58.338432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:58.449172image/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
남부교육지원청
36 

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 36
100.0%

Length

2024-03-13T22:15:58.562947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:58.691527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T22:15:58.915659image/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 row1ecec08c-ed2f-b044-e053-0a32095ab044
2nd row1ecec08c-eecb-b044-e053-0a32095ab044
3rd row1ecec08c-efa0-b044-e053-0a32095ab044
4th row1ecec08c-f052-b044-e053-0a32095ab044
5th row1ecec08c-f1b3-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08c-eecb-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0630-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-012c-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0141-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-01d6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-02b2-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0556-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0557-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08be-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T22:15:59.349653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 722
55.7%
Lowercase Letter 430
33.2%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
30.9%
4 141
19.5%
5 80
 
11.1%
3 74
 
10.2%
2 51
 
7.1%
1 46
 
6.4%
9 46
 
6.4%
8 39
 
5.4%
6 12
 
1.7%
7 10
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
66.8%
Latin 430
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 223
25.8%
- 144
16.6%
4 141
16.3%
5 80
 
9.2%
3 74
 
8.5%
2 51
 
5.9%
1 46
 
5.3%
9 46
 
5.3%
8 39
 
4.5%
6 12
 
1.4%
Latin
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T22:15:59.557780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.1666667
Min length5

Characters and Unicode

Total characters294
Distinct characters67
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 row서울아람유치원
2nd row정훈유치원
3rd row미림유치원
4th row서울세곡초등학교병설유치원
5th row서울개봉초등학교병설유치원
ValueCountFrequency (%)
서울아람유치원 1
 
2.8%
정훈유치원 1
 
2.8%
푸른동산유치원 1
 
2.8%
동부유치원 1
 
2.8%
예쁨유치원 1
 
2.8%
서울구일초등학교병설유치원 1
 
2.8%
서울하늘숲유치원 1
 
2.8%
동정성모유치원 1
 
2.8%
바니유치원 1
 
2.8%
꿀벌유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T22:15:59.919154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
12.9%
유 36
 
12.2%
치 36
 
12.2%
서 17
 
5.8%
울 16
 
5.4%
초 12
 
4.1%
설 12
 
4.1%
병 12
 
4.1%
교 12
 
4.1%
학 12
 
4.1%
Other values (57) 91
31.0%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
18 
공립(병설)
12 
사립(법인)
4 
공립(단설)
2 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 18
50.0%
공립(병설) 12
33.3%
사립(법인) 4
 
11.1%
공립(단설) 2
 
5.6%

Length

2024-03-13T22:16:00.100127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:00.248688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 18
50.0%
공립(병설 12
33.3%
사립(법인 4
 
11.1%
공립(단설 2
 
5.6%

소방대피훈련여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
34 
False
 
2
ValueCountFrequency (%)
True 34
94.4%
False 2
 
5.6%
2024-03-13T22:16:00.362769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)88.2%
Missing2
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean20225174
Minimum20190827
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:00.493335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190827
5-th percentile20190829
Q120230515
median20230628
Q320230908
95-th percentile20230920
Maximum20230925
Range40098
Interquartile range (IQR)392.5

Descriptive statistics

Standard deviation13277.1
Coefficient of variation (CV)0.00065646403
Kurtosis3.289293
Mean20225174
Median Absolute Deviation (MAD)278
Skewness-2.2024507
Sum6.8765593 × 108
Variance1.7628137 × 108
MonotonicityNot monotonic
2024-03-13T22:16:00.667772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230914 2
 
5.6%
20230919 2
 
5.6%
20230829 2
 
5.6%
20230906 2
 
5.6%
20230623 1
 
2.8%
20210604 1
 
2.8%
20230612 1
 
2.8%
20230607 1
 
2.8%
20230329 1
 
2.8%
20230925 1
 
2.8%
Other values (20) 20
55.6%
(Missing) 2
 
5.6%
ValueCountFrequency (%)
20190827 1
2.8%
20190828 1
2.8%
20190830 1
2.8%
20190902 1
2.8%
20210604 1
2.8%
20220831 1
2.8%
20230329 1
2.8%
20230414 1
2.8%
20230512 1
2.8%
20230525 1
2.8%
ValueCountFrequency (%)
20230925 1
2.8%
20230922 1
2.8%
20230919 2
5.6%
20230918 1
2.8%
20230914 2
5.6%
20230912 1
2.8%
20230908 1
2.8%
20230907 1
2.8%
20230906 2
5.6%
20230904 1
2.8%

가스점검여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
Y
34 
<NA>
 
1
X
 
1

Length

Max length4
Median length1
Mean length1.0833333
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
Y 34
94.4%
<NA> 1
 
2.8%
X 1
 
2.8%

Length

2024-03-13T22:16:00.819903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:00.935975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 34
94.4%
na 1
 
2.8%
x 1
 
2.8%

가스점검일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)82.4%
Missing2
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean20225950
Minimum20190401
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:01.081288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190401
5-th percentile20190484
Q120230318
median20230518
Q320230830
95-th percentile20230914
Maximum20230925
Range40524
Interquartile range (IQR)511.75

Descriptive statistics

Standard deviation11909.327
Coefficient of variation (CV)0.0005888142
Kurtosis5.4419041
Mean20225950
Median Absolute Deviation (MAD)306.5
Skewness-2.5739123
Sum6.876823 × 108
Variance1.4183206 × 108
MonotonicityNot monotonic
2024-03-13T22:16:01.255252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230904 4
 
11.1%
20230825 3
 
8.3%
20230405 2
 
5.6%
20210819 1
 
2.8%
20230519 1
 
2.8%
20230816 1
 
2.8%
20230206 1
 
2.8%
20230317 1
 
2.8%
20230908 1
 
2.8%
20190424 1
 
2.8%
Other values (18) 18
50.0%
(Missing) 2
 
5.6%
ValueCountFrequency (%)
20190401 1
2.8%
20190424 1
2.8%
20190516 1
2.8%
20210819 1
2.8%
20220819 1
2.8%
20221111 1
2.8%
20230206 1
2.8%
20230216 1
2.8%
20230317 1
2.8%
20230320 1
2.8%
ValueCountFrequency (%)
20230925 1
 
2.8%
20230915 1
 
2.8%
20230914 1
 
2.8%
20230908 1
 
2.8%
20230904 4
11.1%
20230831 1
 
2.8%
20230825 3
8.3%
20230824 1
 
2.8%
20230816 1
 
2.8%
20230808 1
 
2.8%

소방안전점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
36 
ValueCountFrequency (%)
True 36
100.0%
2024-03-13T22:16:01.394651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

Distinct28
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224651
Minimum20190327
Maximum20230920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:01.505830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190327
5-th percentile20190830
Q120230279
median20230813
Q320230904
95-th percentile20230918
Maximum20230920
Range40593
Interquartile range (IQR)625.5

Descriptive statistics

Standard deviation13337.83
Coefficient of variation (CV)0.0006594838
Kurtosis2.7722933
Mean20224651
Median Absolute Deviation (MAD)106
Skewness-2.0778369
Sum7.2808744 × 108
Variance1.778977 × 108
MonotonicityNot monotonic
2024-03-13T22:16:01.637742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230825 3
 
8.3%
20230904 3
 
8.3%
20190830 2
 
5.6%
20230920 2
 
5.6%
20230329 2
 
5.6%
20230418 2
 
5.6%
20230908 1
 
2.8%
20230911 1
 
2.8%
20230914 1
 
2.8%
20230818 1
 
2.8%
Other values (18) 18
50.0%
ValueCountFrequency (%)
20190327 1
2.8%
20190830 2
5.6%
20190902 1
2.8%
20201215 1
2.8%
20220921 1
2.8%
20221109 1
2.8%
20221114 1
2.8%
20230131 1
2.8%
20230328 1
2.8%
20230329 2
5.6%
ValueCountFrequency (%)
20230920 2
5.6%
20230918 1
 
2.8%
20230915 1
 
2.8%
20230914 1
 
2.8%
20230911 1
 
2.8%
20230908 1
 
2.8%
20230906 1
 
2.8%
20230905 1
 
2.8%
20230904 3
8.3%
20230831 1
 
2.8%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
36 
ValueCountFrequency (%)
True 36
100.0%
2024-03-13T22:16:01.753601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct28
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224876
Minimum20190401
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:01.857459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190401
5-th percentile20190736
Q120230260
median20230828
Q320230913
95-th percentile20230925
Maximum20230926
Range40525
Interquartile range (IQR)653

Descriptive statistics

Standard deviation14021.024
Coefficient of variation (CV)0.00069325635
Kurtosis2.748922
Mean20224876
Median Absolute Deviation (MAD)97
Skewness-2.1272458
Sum7.2809552 × 108
Variance1.965891 × 108
MonotonicityNot monotonic
2024-03-13T22:16:02.001055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230327 2
 
5.6%
20230925 2
 
5.6%
20230131 2
 
5.6%
20230303 2
 
5.6%
20230904 2
 
5.6%
20230831 2
 
5.6%
20230913 2
 
5.6%
20230906 2
 
5.6%
20190517 1
 
2.8%
20230915 1
 
2.8%
Other values (18) 18
50.0%
ValueCountFrequency (%)
20190401 1
2.8%
20190517 1
2.8%
20190809 1
2.8%
20190830 1
2.8%
20190902 1
2.8%
20220907 1
2.8%
20230119 1
2.8%
20230131 2
5.6%
20230303 2
5.6%
20230327 2
5.6%
ValueCountFrequency (%)
20230926 1
2.8%
20230925 2
5.6%
20230921 1
2.8%
20230920 1
2.8%
20230919 1
2.8%
20230918 1
2.8%
20230915 1
2.8%
20230913 2
5.6%
20230912 1
2.8%
20230911 1
2.8%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
26 
False
10 
ValueCountFrequency (%)
True 26
72.2%
False 10
 
27.8%
2024-03-13T22:16:02.122906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing10
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean20224575
Minimum20190830
Maximum20230920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:02.228177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190830
5-th percentile20203330
Q120220775
median20230518
Q320230884
95-th percentile20230912
Maximum20230920
Range40090
Interquartile range (IQR)10109.5

Descriptive statistics

Standard deviation10561.595
Coefficient of variation (CV)0.00052221589
Kurtosis3.5954394
Mean20224575
Median Absolute Deviation (MAD)391
Skewness-1.9615857
Sum5.2583896 × 108
Variance1.1154728 × 108
MonotonicityNot monotonic
2024-03-13T22:16:02.398183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20230908 2
 
5.6%
20230823 2
 
5.6%
20200831 1
 
2.8%
20230906 1
 
2.8%
20230320 1
 
2.8%
20230515 1
 
2.8%
20230911 1
 
2.8%
20220922 1
 
2.8%
20230913 1
 
2.8%
20230227 1
 
2.8%
Other values (14) 14
38.9%
(Missing) 10
27.8%
ValueCountFrequency (%)
20190830 1
2.8%
20200831 1
2.8%
20210825 1
2.8%
20210916 1
2.8%
20220407 1
2.8%
20220718 1
2.8%
20220726 1
2.8%
20220922 1
2.8%
20221007 1
2.8%
20230102 1
2.8%
ValueCountFrequency (%)
20230920 1
2.8%
20230913 1
2.8%
20230911 1
2.8%
20230908 2
5.6%
20230906 1
2.8%
20230905 1
2.8%
20230823 2
5.6%
20230818 1
2.8%
20230727 1
2.8%
20230527 1
2.8%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
적합
26 
-
10 

Length

Max length2
Median length2
Mean length1.7222222
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 26
72.2%
- 10
 
27.8%

Length

2024-03-13T22:16:02.555402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:02.664459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 26
72.2%
10
 
27.8%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
36 
ValueCountFrequency (%)
True 36
100.0%
2024-03-13T22:16:02.771848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.444444
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:02.882107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median13.5
Q316.75
95-th percentile37
Maximum61
Range60
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation12.227474
Coefficient of variation (CV)0.79170692
Kurtosis5.1364493
Mean15.444444
Median Absolute Deviation (MAD)5.5
Skewness2.0317569
Sum556
Variance149.51111
MonotonicityNot monotonic
2024-03-13T22:16:03.034378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
14 5
 
13.9%
10 4
 
11.1%
8 3
 
8.3%
16 3
 
8.3%
4 2
 
5.6%
3 2
 
5.6%
46 1
 
2.8%
19 1
 
2.8%
1 1
 
2.8%
13 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
1 1
 
2.8%
3 2
5.6%
4 2
5.6%
6 1
 
2.8%
7 1
 
2.8%
8 3
8.3%
9 1
 
2.8%
10 4
11.1%
11 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
61 1
 
2.8%
46 1
 
2.8%
34 1
 
2.8%
31 1
 
2.8%
28 1
 
2.8%
24 1
 
2.8%
23 1
 
2.8%
20 1
 
2.8%
19 1
 
2.8%
16 3
8.3%

CCTV 건물 안 설치수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)51.4%
Missing1
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean9.5428571
Minimum0
Maximum37
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:03.180642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q15
median8
Q311
95-th percentile23.1
Maximum37
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.6402297
Coefficient of variation (CV)0.80062287
Kurtosis4.4317217
Mean9.5428571
Median Absolute Deviation (MAD)3
Skewness1.808159
Sum334
Variance58.373109
MonotonicityNot monotonic
2024-03-13T22:16:03.333948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 5
13.9%
8 4
11.1%
5 3
 
8.3%
7 3
 
8.3%
4 3
 
8.3%
1 2
 
5.6%
9 2
 
5.6%
0 2
 
5.6%
13 2
 
5.6%
37 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 2
5.6%
1 2
5.6%
3 1
 
2.8%
4 3
8.3%
5 3
8.3%
6 1
 
2.8%
7 3
8.3%
8 4
11.1%
9 2
5.6%
10 1
 
2.8%
ValueCountFrequency (%)
37 1
 
2.8%
28 1
 
2.8%
21 1
 
2.8%
20 1
 
2.8%
16 1
 
2.8%
13 2
 
5.6%
12 1
 
2.8%
11 5
13.9%
10 1
 
2.8%
9 2
 
5.6%

CCTV 건물 밖 설치수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1666667
Minimum0
Maximum33
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T22:16:03.498048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q12
median3.5
Q38
95-th percentile17.75
Maximum33
Range33
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.8806146
Coefficient of variation (CV)1.1157753
Kurtosis6.201364
Mean6.1666667
Median Absolute Deviation (MAD)2.5
Skewness2.2873177
Sum222
Variance47.342857
MonotonicityNot monotonic
2024-03-13T22:16:03.660026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 7
19.4%
3 5
13.9%
1 4
11.1%
5 3
8.3%
8 2
 
5.6%
6 2
 
5.6%
0 2
 
5.6%
4 2
 
5.6%
12 1
 
2.8%
9 1
 
2.8%
Other values (7) 7
19.4%
ValueCountFrequency (%)
0 2
 
5.6%
1 4
11.1%
2 7
19.4%
3 5
13.9%
4 2
 
5.6%
5 3
8.3%
6 2
 
5.6%
7 1
 
2.8%
8 2
 
5.6%
9 1
 
2.8%
ValueCountFrequency (%)
33 1
2.8%
23 1
2.8%
16 1
2.8%
15 1
2.8%
13 1
2.8%
12 1
2.8%
10 1
2.8%
9 1
2.8%
8 2
5.6%
7 1
2.8%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
30 
20192
4 
20222
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

Length

2024-03-13T22:16:03.804982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:03.949556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 30
83.3%
20192 4
 
11.1%
20222 1
 
2.8%
20212 1
 
2.8%

주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T22:16:04.201598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.305556
Min length15

Characters and Unicode

Total characters659
Distinct characters49
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 고척로25길 62
2nd row서울특별시 구로구 경인로 382
3rd row서울특별시 구로구 개봉로18길 37
4th row서울특별시 구로구 고척로33길 34
5th row서울특별시 구로구 개봉로16길 30-11
ValueCountFrequency (%)
서울특별시 36
25.0%
구로구 36
25.0%
고척로 3
 
2.1%
11 3
 
2.1%
6 2
 
1.4%
도림로 2
 
1.4%
개봉로18길 2
 
1.4%
신도림로 2
 
1.4%
22 2
 
1.4%
오류로8길 2
 
1.4%
Other values (53) 54
37.5%
2024-03-13T22:16:04.623528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.4%
구 76
11.5%
로 73
11.1%
서 39
 
5.9%
특 36
 
5.5%
별 36
 
5.5%
시 36
 
5.5%
울 36
 
5.5%
1 29
 
4.4%
길 22
 
3.3%
Other values (39) 168
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
64.9%
Decimal Number 119
 
18.1%
Space Separator 108
 
16.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Decimal Number
ValueCountFrequency (%)
1 29
24.4%
2 21
17.6%
3 11
 
9.2%
6 10
 
8.4%
7 10
 
8.4%
5 9
 
7.6%
8 9
 
7.6%
0 8
 
6.7%
4 8
 
6.7%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
64.9%
Common 231
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%
Common
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
64.9%
ASCII 231
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
구 76
17.8%
로 73
17.1%
서 39
9.1%
특 36
8.4%
별 36
8.4%
시 36
8.4%
울 36
8.4%
길 22
 
5.1%
고 6
 
1.4%
도 6
 
1.4%
Other values (27) 62
14.5%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청남부교육지원청1ecec08c-ed2f-b044-e053-0a32095ab044서울아람유치원사립(사인)Y20190827Y20190401Y20190830Y20190401Y20190830적합Y1412220192서울특별시 구로구 고척로25길 62
1서울특별시교육청남부교육지원청1ecec08c-eecb-b044-e053-0a32095ab044정훈유치원사립(사인)Y20230918Y20230405Y20230418Y20230531Y20210916적합Y1210220232서울특별시 구로구 경인로 382
2서울특별시교육청남부교육지원청1ecec08c-efa0-b044-e053-0a32095ab044미림유치원사립(사인)Y20230906Y20230420Y20230905Y20230511N<NA>-Y95420232서울특별시 구로구 개봉로18길 37
3서울특별시교육청남부교육지원청1ecec08c-f052-b044-e053-0a32095ab044서울세곡초등학교병설유치원공립(병설)Y20230919Y20230518Y20230331Y20230918Y20230920적합Y108220232서울특별시 구로구 고척로33길 34
4서울특별시교육청남부교육지원청1ecec08c-f1b3-b044-e053-0a32095ab044서울개봉초등학교병설유치원공립(병설)Y20230919Y20230824Y20230915Y20230925Y20220726적합Y43120232서울특별시 구로구 개봉로16길 30-11
5서울특별시교육청남부교육지원청1ecec08c-f1b4-b044-e053-0a32095ab044서울영서초등학교병설유치원공립(병설)Y20230623Y20230825Y20230825Y20230920Y20221007적합Y61283320232서울특별시 구로구 도림로20길 57
6서울특별시교육청남부교육지원청1ecec08c-f321-b044-e053-0a32095ab044나비유치원사립(사인)Y20220831Y20220819Y20220921Y20220907Y20210825적합Y60620222서울특별시 구로구 고척로 30
7서울특별시교육청남부교육지원청1ecec08c-f32a-b044-e053-0a32095ab044준희유치원사립(사인)Y20190830<NA><NA>Y20190830Y20190830N<NA>-Y77020192서울특별시 구로구 경인로19길 8
8서울특별시교육청남부교육지원청1ecec08c-f3e4-b044-e053-0a32095ab044새두산유치원사립(사인)Y20230922Y20230914Y20221109Y20230131Y20220718적합Y1613320232서울특별시 구로구 도림로 59
9서울특별시교육청남부교육지원청1ecec08c-f3f7-b044-e053-0a32095ab044세희유치원사립(사인)Y20230629Y20230404Y20230329Y20230303N<NA>-Y108220232서울특별시 구로구 도림로 107
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
26서울특별시교육청남부교육지원청1ecec08d-0630-b044-e053-0a32095ab044푸른동산유치원사립(사인)Y20230414Y20230808Y20230825Y20230831Y20220922적합Y2321220232서울특별시 구로구 서해안로 2201
27서울특별시교육청남부교육지원청1ecec08d-08be-b044-e053-0a32095ab044꿀벌유치원사립(법인)Y20230904Y20221111Y20230328Y20230131Y20230911적합Y137620232서울특별시 구로구 디지털로27다길 15
28서울특별시교육청남부교육지원청1ecec08d-08c9-b044-e053-0a32095ab044일신유치원사립(사인)Y20190902Y20190516Y20190902Y20190902N<NA>-Y88020192서울특별시 구로구 오류로8길 22
29서울특별시교육청남부교육지원청1ecec08d-099f-b044-e053-0a32095ab044버들유치원사립(사인)Y20190828Y20190424Y20190327Y20190809N<NA>-Y1<NA>120192서울특별시 구로구 오류로8길 40
30서울특별시교육청남부교육지원청1ecec08d-0e01-b044-e053-0a32095ab044동아유치원사립(사인)Y20230925Y20230908Y20230918Y20230831Y20230515적합Y30320232서울특별시 구로구 신도림로 87
31서울특별시교육청남부교육지원청1ecec08d-0e10-b044-e053-0a32095ab044신도유치원사립(사인)Y20230329Y20230317Y20230818Y20230906N<NA>-Y1911820232서울특별시 구로구 구일로2길 45
32서울특별시교육청남부교육지원청1ecec08d-0f6d-b044-e053-0a32095ab044서울신미림초등학교병설유치원공립(병설)Y20230829Y20230206Y20230914Y20230912Y20230320적합Y149520232서울특별시 구로구 신도림로 26
33서울특별시교육청남부교육지원청2e5397a8-bcbc-4691-accf-e2e60e8c5cfe서울고산초등학교병설유치원공립(병설)Y20230914Y20230816Y20230920Y20230919Y20230906적합Y84420232서울특별시 구로구 중앙로 6
34서울특별시교육청남부교육지원청89ed1bdc-67a2-4124-a077-bc925d6a901a서울항동유치원공립(단설)Y20230607Y20230904Y20230911Y20230915N<NA>-Y4637920232서울특별시 구로구 연동로8길 15
35서울특별시교육청남부교육지원청dd6206b2-a72a-4bdd-992a-3922a54bdb4b서울오류남초등학교병설유치원공립(병설)Y20230612Y20230519Y20230920Y20230913Y20230823적합Y1641220232서울특별시 구로구 서해안로24길 22