Overview

Dataset statistics

Number of variables22
Number of observations24
Missing cells11
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory190.5 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20812/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
소방대피훈련여부 has constant value ""Constant
소방안전점검여부 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
가스점검여부 is highly imbalanced (68.6%)Imbalance
가스점검일자 has 2 (8.3%) missing valuesMissing
놀이시설 안전검사 점검일자 has 9 (37.5%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
소방안전점검일자 has unique valuesUnique
주소 has unique valuesUnique
CCTV 건물 밖 설치수 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2024-03-13 09:23:37.428231
Analysis finished2024-03-13 09:23:37.625838
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시교육청
24 

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 24
100.0%

Length

2024-03-13T18:23:37.681119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:37.806671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 24
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
성북강북교육지원청
24 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

Length

2024-03-13T18:23:37.938928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:38.033274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

유치원코드
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T18:23:38.221962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters864
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f0f4-b044-e053-0a32095ab044
2nd row1ecec08c-f0f5-b044-e053-0a32095ab044
3rd row1ecec08c-f0f6-b044-e053-0a32095ab044
4th row1ecec08c-f740-b044-e053-0a32095ab044
5th row1ecec08c-f8de-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f0f4-b044-e053-0a32095ab044 1
 
4.2%
1ecec08c-f0f5-b044-e053-0a32095ab044 1
 
4.2%
7e0ce4f2-8d6e-4568-9e83-17a353fee72b 1
 
4.2%
64af8988-de1b-45a7-81be-11e10d4fa5ef 1
 
4.2%
359faa6f-7b25-4e25-b738-71737821c61c 1
 
4.2%
1ecec08d-0cc5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0cbe-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0ae5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-084e-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-02ae-b044-e053-0a32095ab044 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T18:23:38.547394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
56.0%
Lowercase Letter 284
32.9%
Dash Punctuation 96
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
29.5%
4 92
19.0%
5 53
 
11.0%
3 50
 
10.3%
8 35
 
7.2%
2 35
 
7.2%
1 30
 
6.2%
9 26
 
5.4%
7 11
 
2.3%
6 9
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
67.1%
Latin 284
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
24.7%
- 96
16.6%
4 92
15.9%
5 53
 
9.1%
3 50
 
8.6%
8 35
 
6.0%
2 35
 
6.0%
1 30
 
5.2%
9 26
 
4.5%
7 11
 
1.9%
Latin
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

유치원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T18:23:38.743975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.2083333
Min length5

Characters and Unicode

Total characters173
Distinct characters49
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

Unique24 ?
Unique (%)100.0%

Sample

1st row금성유치원
2nd row동명유치원
3rd row길물빛유치원
4th row성실유치원
5th row서울수유초등학교병설유치원
ValueCountFrequency (%)
금성유치원 1
 
4.2%
동명유치원 1
 
4.2%
서울송천초등학교병설유치원 1
 
4.2%
서울수송초등학교병설유치원 1
 
4.2%
서울번동초등학교병설유치원 1
 
4.2%
새시대유치원 1
 
4.2%
서울미양초등학교병설유치원 1
 
4.2%
인수유치원 1
 
4.2%
꿈동산유치원 1
 
4.2%
서울화계초등학교병설유치원 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T18:23:39.069243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

설립유형
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
사립(사인)
15 
공립(병설)
6 
사립(법인)
2 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
62.5%
공립(병설) 6
 
25.0%
사립(법인) 2
 
8.3%
공립(단설) 1
 
4.2%

Length

2024-03-13T18:23:39.184631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:39.614665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
62.5%
공립(병설 6
 
25.0%
사립(법인 2
 
8.3%
공립(단설 1
 
4.2%

소방대피훈련여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2024-03-13T18:23:39.695193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220368
Minimum20180831
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:39.794336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180831
5-th percentile20182401
Q120210872
median20230826
Q320230904
95-th percentile20230921
Maximum20230922
Range50091
Interquartile range (IQR)20032.25

Descriptive statistics

Standard deviation17829.013
Coefficient of variation (CV)0.00088173534
Kurtosis0.36038187
Mean20220368
Median Absolute Deviation (MAD)96.5
Skewness-1.3879547
Sum4.8528883 × 108
Variance3.178737 × 108
MonotonicityNot monotonic
2024-03-13T18:23:39.911896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20230904 3
 
12.5%
20230922 2
 
8.3%
20190320 1
 
4.2%
20230831 1
 
4.2%
20230830 1
 
4.2%
20230914 1
 
4.2%
20230915 1
 
4.2%
20200619 1
 
4.2%
20230421 1
 
4.2%
20210716 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
20180831 1
4.2%
20181003 1
4.2%
20190320 1
4.2%
20190827 1
4.2%
20200619 1
4.2%
20210716 1
4.2%
20210924 1
4.2%
20230331 1
4.2%
20230421 1
4.2%
20230601 1
4.2%
ValueCountFrequency (%)
20230922 2
8.3%
20230918 1
 
4.2%
20230915 1
 
4.2%
20230914 1
 
4.2%
20230905 1
 
4.2%
20230904 3
12.5%
20230831 1
 
4.2%
20230830 1
 
4.2%
20230828 1
 
4.2%
20230823 1
 
4.2%

가스점검여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Y
22 
N
 
1
X
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
Y 22
91.7%
N 1
 
4.2%
X 1
 
4.2%

Length

2024-03-13T18:23:40.137424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:40.289129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 22
91.7%
n 1
 
4.2%
x 1
 
4.2%

가스점검일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean20216599
Minimum20170428
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:40.402415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170428
5-th percentile20172002
Q120203338
median20230274
Q320230780
95-th percentile20230917
Maximum20230922
Range60494
Interquartile range (IQR)27442

Descriptive statistics

Standard deviation20133.167
Coefficient of variation (CV)0.0009958731
Kurtosis0.51550717
Mean20216599
Median Absolute Deviation (MAD)646
Skewness-1.2995913
Sum4.4476518 × 108
Variance4.0534441 × 108
MonotonicityNot monotonic
2024-03-13T18:23:40.520338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20230411 1
 
4.2%
20230321 1
 
4.2%
20230814 1
 
4.2%
20230602 1
 
4.2%
20200528 1
 
4.2%
20230801 1
 
4.2%
20200810 1
 
4.2%
20221208 1
 
4.2%
20230918 1
 
4.2%
20171023 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
20170428 1
4.2%
20171023 1
4.2%
20190607 1
4.2%
20190820 1
4.2%
20200528 1
4.2%
20200810 1
4.2%
20210924 1
4.2%
20220322 1
4.2%
20220628 1
4.2%
20221208 1
4.2%
ValueCountFrequency (%)
20230922 1
4.2%
20230918 1
4.2%
20230907 1
4.2%
20230814 1
4.2%
20230809 1
4.2%
20230801 1
4.2%
20230719 1
4.2%
20230602 1
4.2%
20230427 1
4.2%
20230411 1
4.2%

소방안전점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2024-03-13T18:23:40.616873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20217775
Minimum20170222
Maximum20230918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:40.695318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170222
5-th percentile20182380
Q120210500
median20230123
Q320230848
95-th percentile20230914
Maximum20230918
Range60696
Interquartile range (IQR)20348.25

Descriptive statistics

Standard deviation18329.36
Coefficient of variation (CV)0.00090659629
Kurtosis0.80745026
Mean20217775
Median Absolute Deviation (MAD)793.5
Skewness-1.3436704
Sum4.852266 × 108
Variance3.3596543 × 108
MonotonicityNot monotonic
2024-03-13T18:23:40.813387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20190607 1
 
4.2%
20230831 1
 
4.2%
20230915 1
 
4.2%
20230901 1
 
4.2%
20230904 1
 
4.2%
20230804 1
 
4.2%
20200904 1
 
4.2%
20230906 1
 
4.2%
20210525 1
 
4.2%
20220620 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
20170222 1
4.2%
20180928 1
4.2%
20190607 1
4.2%
20190905 1
4.2%
20200904 1
4.2%
20210426 1
4.2%
20210525 1
4.2%
20210924 1
4.2%
20220324 1
4.2%
20220530 1
4.2%
ValueCountFrequency (%)
20230918 1
4.2%
20230915 1
4.2%
20230908 1
4.2%
20230906 1
4.2%
20230904 1
4.2%
20230901 1
4.2%
20230831 1
4.2%
20230811 1
4.2%
20230809 1
4.2%
20230804 1
4.2%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2024-03-13T18:23:40.909168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20218623
Minimum20170224
Maximum20230921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:40.987614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170224
5-th percentile20174033
Q120208400
median20230470
Q320230904
95-th percentile20230919
Maximum20230921
Range60697
Interquartile range (IQR)22504.75

Descriptive statistics

Standard deviation20007.036
Coefficient of variation (CV)0.00098953503
Kurtosis0.91678794
Mean20218623
Median Absolute Deviation (MAD)441.5
Skewness-1.4680438
Sum4.8524695 × 108
Variance4.0028148 × 108
MonotonicityNot monotonic
2024-03-13T18:23:41.109662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20230823 2
 
8.3%
20230911 2
 
8.3%
20190607 1
 
4.2%
20230515 1
 
4.2%
20230919 1
 
4.2%
20230918 1
 
4.2%
20230905 1
 
4.2%
20200312 1
 
4.2%
20200826 1
 
4.2%
20230921 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
20170224 1
4.2%
20171108 1
4.2%
20190607 1
4.2%
20190909 1
4.2%
20200312 1
4.2%
20200826 1
4.2%
20210924 1
4.2%
20220727 1
4.2%
20230105 1
4.2%
20230206 1
4.2%
ValueCountFrequency (%)
20230921 1
4.2%
20230919 1
4.2%
20230918 1
4.2%
20230911 2
8.3%
20230905 1
4.2%
20230904 1
4.2%
20230823 2
8.3%
20230810 1
4.2%
20230803 1
4.2%
20230515 1
4.2%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
15 
False
9 
ValueCountFrequency (%)
True 15
62.5%
False 9
37.5%
2024-03-13T18:23:41.229655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing9
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean20216163
Minimum20170412
Maximum20230904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:41.320318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170412
5-th percentile20191554
Q120211117
median20220516
Q320225968
95-th percentile20230904
Maximum20230904
Range60492
Interquartile range (IQR)14850.5

Descriptive statistics

Standard deviation15599.029
Coefficient of variation (CV)0.00077161177
Kurtosis4.8263618
Mean20216163
Median Absolute Deviation (MAD)9400
Skewness-1.885889
Sum3.0324244 × 108
Variance2.4332971 × 108
MonotonicityNot monotonic
2024-03-13T18:23:41.425590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20230904 2
 
8.3%
20220516 1
 
4.2%
20230828 1
 
4.2%
20210929 1
 
4.2%
20211116 1
 
4.2%
20200615 1
 
4.2%
20220810 1
 
4.2%
20221031 1
 
4.2%
20221118 1
 
4.2%
20170412 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 9
37.5%
ValueCountFrequency (%)
20170412 1
4.2%
20200615 1
4.2%
20210929 1
4.2%
20211116 1
4.2%
20211118 1
4.2%
20211206 1
4.2%
20220118 1
4.2%
20220516 1
4.2%
20220810 1
4.2%
20221031 1
4.2%
ValueCountFrequency (%)
20230904 2
8.3%
20230828 1
4.2%
20230817 1
4.2%
20221118 1
4.2%
20221031 1
4.2%
20220810 1
4.2%
20220516 1
4.2%
20220118 1
4.2%
20211206 1
4.2%
20211118 1
4.2%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
적합
15 
-
9 

Length

Max length2
Median length2
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 15
62.5%
- 9
37.5%

Length

2024-03-13T18:23:41.543642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:41.624470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 15
62.5%
9
37.5%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2024-03-13T18:23:41.698847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.583333
Minimum5
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:41.765593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q18
median11.5
Q317
95-th percentile31.85
Maximum35
Range30
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.7671158
Coefficient of variation (CV)0.60117365
Kurtosis0.27402956
Mean14.583333
Median Absolute Deviation (MAD)4.5
Skewness1.1140472
Sum350
Variance76.862319
MonotonicityNot monotonic
2024-03-13T18:23:41.873141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 3
12.5%
8 3
12.5%
6 2
 
8.3%
15 2
 
8.3%
24 2
 
8.3%
16 2
 
8.3%
7 2
 
8.3%
20 1
 
4.2%
32 1
 
4.2%
12 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
5 1
 
4.2%
6 2
8.3%
7 2
8.3%
8 3
12.5%
10 3
12.5%
11 1
 
4.2%
12 1
 
4.2%
14 1
 
4.2%
15 2
8.3%
16 2
8.3%
ValueCountFrequency (%)
35 1
4.2%
32 1
4.2%
31 1
4.2%
24 2
8.3%
20 1
4.2%
16 2
8.3%
15 2
8.3%
14 1
4.2%
12 1
4.2%
11 1
4.2%

CCTV 건물 안 설치수
Real number (ℝ)

Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.166667
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:42.012639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median8.5
Q313
95-th percentile23.65
Maximum28
Range27
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.2252408
Coefficient of variation (CV)0.61231877
Kurtosis2.6676537
Mean10.166667
Median Absolute Deviation (MAD)3.5
Skewness1.4985591
Sum244
Variance38.753623
MonotonicityNot monotonic
2024-03-13T18:23:42.158432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 4
16.7%
5 4
16.7%
13 3
12.5%
8 3
12.5%
11 2
8.3%
16 1
 
4.2%
9 1
 
4.2%
28 1
 
4.2%
14 1
 
4.2%
12 1
 
4.2%
Other values (3) 3
12.5%
ValueCountFrequency (%)
1 1
 
4.2%
5 4
16.7%
6 4
16.7%
8 3
12.5%
9 1
 
4.2%
10 1
 
4.2%
11 2
8.3%
12 1
 
4.2%
13 3
12.5%
14 1
 
4.2%
ValueCountFrequency (%)
28 1
 
4.2%
25 1
 
4.2%
16 1
 
4.2%
14 1
 
4.2%
13 3
12.5%
12 1
 
4.2%
11 2
8.3%
10 1
 
4.2%
9 1
 
4.2%
8 3
12.5%

CCTV 건물 밖 설치수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4166667
Minimum0
Maximum21
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-13T18:23:42.333485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile12.55
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.7265822
Coefficient of variation (CV)1.0701696
Kurtosis6.0705255
Mean4.4166667
Median Absolute Deviation (MAD)1
Skewness2.3536834
Sum106
Variance22.34058
MonotonicityNot monotonic
2024-03-13T18:23:42.466820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 6
25.0%
3 5
20.8%
4 4
16.7%
1 3
12.5%
10 2
 
8.3%
0 1
 
4.2%
6 1
 
4.2%
13 1
 
4.2%
21 1
 
4.2%
ValueCountFrequency (%)
0 1
 
4.2%
1 3
12.5%
2 6
25.0%
3 5
20.8%
4 4
16.7%
6 1
 
4.2%
10 2
 
8.3%
13 1
 
4.2%
21 1
 
4.2%
ValueCountFrequency (%)
21 1
 
4.2%
13 1
 
4.2%
10 2
 
8.3%
6 1
 
4.2%
4 4
16.7%
3 5
20.8%
2 6
25.0%
1 3
12.5%
0 1
 
4.2%

공시차수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
20232
17 
20192
2 
20182
2 
20212
2 
20202
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
20232 17
70.8%
20192 2
 
8.3%
20182 2
 
8.3%
20212 2
 
8.3%
20202 1
 
4.2%

Length

2024-03-13T18:23:42.579521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:23:42.673955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 17
70.8%
20192 2
 
8.3%
20182 2
 
8.3%
20212 2
 
8.3%
20202 1
 
4.2%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T18:23:42.850413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.208333
Min length16

Characters and Unicode

Total characters437
Distinct characters46
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 한천로123길 9
2nd row서울특별시 강북구 오패산로 130
3rd row서울특별시 강북구 인수봉로 260
4th row서울특별시 강북구 삼각산로 143-1
5th row서울특별시 강북구 삼양로74길 39
ValueCountFrequency (%)
서울특별시 24
25.0%
강북구 24
25.0%
인수봉로 3
 
3.1%
솔샘로 3
 
3.1%
45 2
 
2.1%
삼각산로 2
 
2.1%
298 1
 
1.0%
노해로21길 1
 
1.0%
12 1
 
1.0%
솔매로50가길 1
 
1.0%
Other values (34) 34
35.4%
2024-03-13T18:23:43.166399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
16.5%
서 24
 
5.5%
강 24
 
5.5%
로 24
 
5.5%
구 24
 
5.5%
북 24
 
5.5%
울 24
 
5.5%
시 24
 
5.5%
별 24
 
5.5%
특 24
 
5.5%
Other values (36) 149
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
64.5%
Decimal Number 82
 
18.8%
Space Separator 72
 
16.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Decimal Number
ValueCountFrequency (%)
1 18
22.0%
2 11
13.4%
9 11
13.4%
4 10
12.2%
5 9
11.0%
0 5
 
6.1%
8 5
 
6.1%
3 5
 
6.1%
7 4
 
4.9%
6 4
 
4.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
64.5%
Common 155
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Common
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
64.5%
ASCII 155
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청성북강북교육지원청1ecec08c-f0f4-b044-e053-0a32095ab044금성유치원사립(사인)Y20190320Y20190607Y20190607Y20190607N<NA>-Y66020192서울특별시 강북구 한천로123길 9
1서울특별시교육청성북강북교육지원청1ecec08c-f0f5-b044-e053-0a32095ab044동명유치원사립(사인)Y20190827Y20190820Y20190905Y20190909N<NA>-Y106420192서울특별시 강북구 오패산로 130
2서울특별시교육청성북강북교육지원청1ecec08c-f0f6-b044-e053-0a32095ab044길물빛유치원사립(사인)Y20230823Y20230719Y20230126Y20230206N<NA>-Y2016420232서울특별시 강북구 인수봉로 260
3서울특별시교육청성북강북교육지원청1ecec08c-f740-b044-e053-0a32095ab044성실유치원사립(사인)Y20230918Y20230907Y20230918Y20230424Y20220516적합Y1513220232서울특별시 강북구 삼각산로 143-1
4서울특별시교육청성북강북교육지원청1ecec08c-f8de-b044-e053-0a32095ab044서울수유초등학교병설유치원공립(병설)Y20230904N<NA>Y20230731Y20230823Y20230828적합Y159620232서울특별시 강북구 삼양로74길 39
5서울특별시교육청성북강북교육지원청1ecec08c-f9b8-b044-e053-0a32095ab044아름유치원사립(사인)Y20181003Y20170428Y20170222Y20170224N<NA>-Y65120182서울특별시 강북구 도봉로 88
6서울특별시교육청성북강북교육지원청1ecec08c-fa08-b044-e053-0a32095ab044솔샘유치원사립(사인)Y20230601Y20230809Y20230908Y20230803Y20210929적합Y3228420232서울특별시 강북구 솔샘로 159
7서울특별시교육청성북강북교육지원청1ecec08c-fa73-b044-e053-0a32095ab044창문유치원사립(법인)Y20230922Y20230227Y20230811Y20230911Y20211116적합Y24141020232서울특별시 강북구 월계로 61
8서울특별시교육청성북강북교육지원청1ecec08c-fc25-b044-e053-0a32095ab044운산유치원사립(사인)Y20210924Y20210924Y20210924Y20210924Y20200615적합Y85320212서울특별시 강북구 수유로4길 58
9서울특별시교육청성북강북교육지원청1ecec08c-fe08-b044-e053-0a32095ab044유안유치원사립(사인)Y20230922Y20230922Y20210426Y20230419Y20220810적합Y1613320232서울특별시 강북구 인수봉로 297
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
14서울특별시교육청성북강북교육지원청1ecec08d-0250-b044-e053-0a32095ab044경은유치원사립(사인)Y20180831Y20171023Y20180928Y20171108Y20170412적합Y1613320182서울특별시 강북구 노해로21길 12
15서울특별시교육청성북강북교육지원청1ecec08d-02ae-b044-e053-0a32095ab044서울화계초등학교병설유치원공립(병설)Y20230905Y20230918Y20230809Y20230904Y20230904적합Y51420232서울특별시 강북구 솔매로50가길 25
16서울특별시교육청성북강북교육지원청1ecec08d-084e-b044-e053-0a32095ab044꿈동산유치원사립(사인)Y20230904Y20221208Y20220620Y20230921N<NA>-Y76120232서울특별시 강북구 한천로115길 15
17서울특별시교육청성북강북교육지원청1ecec08d-0ae5-b044-e053-0a32095ab044인수유치원사립(사인)Y20210716Y20200810Y20210525Y20200826N<NA>-Y86220212서울특별시 강북구 인수봉로 298
18서울특별시교육청성북강북교육지원청1ecec08d-0cbe-b044-e053-0a32095ab044서울미양초등학교병설유치원공립(병설)Y20230421Y20230801Y20230906Y20230911Y20220118적합Y24111320232서울특별시 강북구 솔샘로 195
19서울특별시교육청성북강북교육지원청1ecec08d-0cc5-b044-e053-0a32095ab044새시대유치원사립(사인)Y20200619Y20200528Y20200904Y20200312N<NA>-Y85320202서울특별시 강북구 도봉로97길 45
20서울특별시교육청성북강북교육지원청359faa6f-7b25-4e25-b738-71737821c61c서울번동초등학교병설유치원공립(병설)Y20230915Y20230602Y20230804Y20230823Y20230817적합Y31102120232서울특별시 강북구 오현로 204
21서울특별시교육청성북강북교육지원청64af8988-de1b-45a7-81be-11e10d4fa5ef서울수송초등학교병설유치원공립(병설)Y20230914X<NA>Y20230904Y20230905Y20230904적합Y118320232서울특별시 강북구 한천로124길 14
22서울특별시교육청성북강북교육지원청7e0ce4f2-8d6e-4568-9e83-17a353fee72b서울송천초등학교병설유치원공립(병설)Y20230830Y20230814Y20230901Y20230918Y20211118적합Y75220232서울특별시 강북구 삼양로20길 29
23서울특별시교육청성북강북교육지원청d6df2050-e2a0-4e60-bffa-db3ae9220338서울우이유치원공립(단설)Y20230904Y20230321Y20230915Y20230919Y20211206적합Y35251020232서울특별시 강북구 삼양로99길 36