Overview

Dataset statistics

Number of variables22
Number of observations38
Missing cells13
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory188.5 B

Variable types

Categorical5
Text3
Boolean6
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20828/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
가스점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
소방대피훈련여부 is highly imbalanced (82.4%)Imbalance
소방안전점검여부 is highly imbalanced (82.4%)Imbalance
전기설비점검여부 is highly imbalanced (82.4%)Imbalance
공시차수 is highly imbalanced (54.8%)Imbalance
소방대피훈련일자 has 1 (2.6%) missing valuesMissing
소방안전점검일자 has 1 (2.6%) missing valuesMissing
전기설비점검일자 has 1 (2.6%) missing valuesMissing
놀이시설 안전검사 점검일자 has 10 (26.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 밖 설치수 has 2 (5.3%) zerosZeros

Reproduction

Analysis started2024-03-13 19:04:06.673189
Analysis finished2024-03-13 19:04:06.886424
Duration0.21 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

2024-03-14T04:04:07.151845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:04:07.221658image/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
강동송파교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

Length

2024-03-14T04:04:07.295146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:04:07.369050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T04:04:07.533232image/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 row1ecec08c-ed95-b044-e053-0a32095ab044
2nd row1ecec08c-ef39-b044-e053-0a32095ab044
3rd row1ecec08c-f123-b044-e053-0a32095ab044
4th row1ecec08c-f12c-b044-e053-0a32095ab044
5th row1ecec08c-f289-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed95-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0b24-b044-e053-0a32095ab044 1
 
2.6%
dc3c0174-def5-4b61-a69d-19ff119cdf2e 1
 
2.6%
1ecec08d-01d7-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-028f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-029f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0409-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04f4-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08dd-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c15-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T04:04:07.817988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
56.4%
Lowercase Letter 444
32.5%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
28.0%
4 150
19.4%
3 88
11.4%
5 80
 
10.4%
1 56
 
7.3%
9 53
 
6.9%
8 52
 
6.7%
2 51
 
6.6%
7 17
 
2.2%
6 9
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
67.5%
Latin 444
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
23.4%
- 152
16.5%
4 150
16.2%
3 88
9.5%
5 80
 
8.7%
1 56
 
6.1%
9 53
 
5.7%
8 52
 
5.6%
2 51
 
5.5%
7 17
 
1.8%
Latin
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T04:04:08.000803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.7631579
Min length5

Characters and Unicode

Total characters295
Distinct characters60
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 row송원유치원
2nd row한영중고등학교병설한영유치원
3rd row준현유치원
4th row고덕유치원
5th row예슬유치원
ValueCountFrequency (%)
송원유치원 1
 
2.6%
구강사금강유치원 1
 
2.6%
서울고일초등학교병설유치원 1
 
2.6%
은새유치원 1
 
2.6%
유정유치원 1
 
2.6%
돌샘유치원 1
 
2.6%
한성유치원 1
 
2.6%
가람유치원 1
 
2.6%
서울선린초등학교병설유치원 1
 
2.6%
그리새유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T04:04:08.264932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
10 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 10
26.3%
사립(법인) 5
 
13.2%
공립(단설) 2
 
5.3%

Length

2024-03-14T04:04:08.370216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:04:08.448845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 10
26.3%
사립(법인 5
 
13.2%
공립(단설 2
 
5.3%

소방대피훈련여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
37 
False
 
1
ValueCountFrequency (%)
True 37
97.4%
False 1
 
2.6%
2024-03-14T04:04:08.550941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)81.1%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean20225412
Minimum20180810
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:08.649497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180810
5-th percentile20196984
Q120230503
median20230829
Q320230905
95-th percentile20230926
Maximum20230927
Range50117
Interquartile range (IQR)402

Descriptive statistics

Standard deviation13419.248
Coefficient of variation (CV)0.00066348453
Kurtosis5.5687087
Mean20225412
Median Absolute Deviation (MAD)97
Skewness-2.5218797
Sum7.4834023 × 108
Variance1.8007621 × 108
MonotonicityNot monotonic
2024-03-14T04:04:08.761958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230904 7
 
18.4%
20230926 2
 
5.3%
20180814 1
 
2.6%
20180810 1
 
2.6%
20230919 1
 
2.6%
20230907 1
 
2.6%
20230905 1
 
2.6%
20230712 1
 
2.6%
20201026 1
 
2.6%
20210916 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
20180810 1
2.6%
20180814 1
2.6%
20201026 1
2.6%
20201102 1
2.6%
20210916 1
2.6%
20210930 1
2.6%
20230417 1
2.6%
20230428 1
2.6%
20230501 1
2.6%
20230503 1
2.6%
ValueCountFrequency (%)
20230927 1
 
2.6%
20230926 2
 
5.3%
20230925 1
 
2.6%
20230921 1
 
2.6%
20230919 1
 
2.6%
20230918 1
 
2.6%
20230914 1
 
2.6%
20230907 1
 
2.6%
20230905 1
 
2.6%
20230904 7
18.4%

가스점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-14T04:04:08.855292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가스점검일자
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222035
Minimum20180628
Maximum20230919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:08.948663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180628
5-th percentile20188750
Q120220907
median20230306
Q320230717
95-th percentile20230905
Maximum20230919
Range50291
Interquartile range (IQR)9809.75

Descriptive statistics

Standard deviation14478.334
Coefficient of variation (CV)0.00071596816
Kurtosis2.5727858
Mean20222035
Median Absolute Deviation (MAD)595
Skewness-1.8733485
Sum7.6843735 × 108
Variance2.0962214 × 108
MonotonicityNot monotonic
2024-03-14T04:04:09.061013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20230901 2
 
5.3%
20181005 1
 
2.6%
20220901 1
 
2.6%
20220621 1
 
2.6%
20210819 1
 
2.6%
20221226 1
 
2.6%
20230724 1
 
2.6%
20230714 1
 
2.6%
20220926 1
 
2.6%
20210927 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
20180628 1
2.6%
20181005 1
2.6%
20190117 1
2.6%
20191217 1
2.6%
20201102 1
2.6%
20210819 1
2.6%
20210927 1
2.6%
20220610 1
2.6%
20220621 1
2.6%
20220901 1
2.6%
ValueCountFrequency (%)
20230919 1
2.6%
20230906 1
2.6%
20230905 1
2.6%
20230901 2
5.3%
20230824 1
2.6%
20230821 1
2.6%
20230803 1
2.6%
20230724 1
2.6%
20230718 1
2.6%
20230714 1
2.6%

소방안전점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
37 
False
 
1
ValueCountFrequency (%)
True 37
97.4%
False 1
 
2.6%
2024-03-14T04:04:09.158416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)83.8%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean20222972
Minimum20171206
Maximum20230919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:09.248342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171206
5-th percentile20188670
Q120221209
median20230807
Q320230906
95-th percentile20230913
Maximum20230919
Range59713
Interquartile range (IQR)9697

Descriptive statistics

Standard deviation15320.939
Coefficient of variation (CV)0.00075760075
Kurtosis4.0334692
Mean20222972
Median Absolute Deviation (MAD)106
Skewness-2.1554133
Sum7.4824997 × 108
Variance2.3473117 × 108
MonotonicityNot monotonic
2024-03-14T04:04:09.350865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20230906 3
 
7.9%
20230912 2
 
5.3%
20230821 2
 
5.3%
20230911 2
 
5.3%
20230904 2
 
5.3%
20171206 1
 
2.6%
20210820 1
 
2.6%
20221012 1
 
2.6%
20230807 1
 
2.6%
20210401 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
20171206 1
2.6%
20180115 1
2.6%
20190809 1
2.6%
20200422 1
2.6%
20201102 1
2.6%
20210401 1
2.6%
20210820 1
2.6%
20220927 1
2.6%
20221012 1
2.6%
20221209 1
2.6%
ValueCountFrequency (%)
20230919 1
 
2.6%
20230914 1
 
2.6%
20230913 1
 
2.6%
20230912 2
5.3%
20230911 2
5.3%
20230906 3
7.9%
20230904 2
5.3%
20230901 1
 
2.6%
20230824 1
 
2.6%
20230821 2
5.3%

전기설비점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
37 
False
 
1
ValueCountFrequency (%)
True 37
97.4%
False 1
 
2.6%
2024-03-14T04:04:09.435281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)81.1%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean20223482
Minimum20180122
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:09.513691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180122
5-th percentile20188887
Q120221024
median20230821
Q320230915
95-th percentile20230920
Maximum20230925
Range50803
Interquartile range (IQR)9891

Descriptive statistics

Standard deviation13883.197
Coefficient of variation (CV)0.00068648896
Kurtosis4.1058692
Mean20223482
Median Absolute Deviation (MAD)104
Skewness-2.1894505
Sum7.4826884 × 108
Variance1.9274317 × 108
MonotonicityNot monotonic
2024-03-14T04:04:09.616558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230920 3
 
7.9%
20230915 2
 
5.3%
20230919 2
 
5.3%
20230829 2
 
5.3%
20230918 2
 
5.3%
20230110 2
 
5.3%
20230821 1
 
2.6%
20220511 1
 
2.6%
20210712 1
 
2.6%
20230907 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
20180122 1
2.6%
20180821 1
2.6%
20190903 1
2.6%
20201109 1
2.6%
20210712 1
2.6%
20210930 1
2.6%
20220511 1
2.6%
20220930 1
2.6%
20221021 1
2.6%
20221024 1
2.6%
ValueCountFrequency (%)
20230925 1
 
2.6%
20230920 3
7.9%
20230919 2
5.3%
20230918 2
5.3%
20230915 2
5.3%
20230911 1
 
2.6%
20230907 1
 
2.6%
20230905 1
 
2.6%
20230901 1
 
2.6%
20230829 2
5.3%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
28 
False
10 
ValueCountFrequency (%)
True 28
73.7%
False 10
 
26.3%
2024-03-14T04:04:09.703844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean20221447
Minimum20170724
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:09.775051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170724
5-th percentile20193751
Q120218342
median20230510
Q320230830
95-th percentile20230906
Maximum20230925
Range60201
Interquartile range (IQR)12487.25

Descriptive statistics

Standard deviation15610.3
Coefficient of variation (CV)0.00077196748
Kurtosis3.0785829
Mean20221447
Median Absolute Deviation (MAD)394
Skewness-1.8402043
Sum5.6620053 × 108
Variance2.4368146 × 108
MonotonicityNot monotonic
2024-03-14T04:04:09.864998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20230904 3
 
7.9%
20230405 1
 
2.6%
20190329 1
 
2.6%
20230925 1
 
2.6%
20230302 1
 
2.6%
20230906 1
 
2.6%
20230614 1
 
2.6%
20200106 1
 
2.6%
20230818 1
 
2.6%
20230831 1
 
2.6%
Other values (16) 16
42.1%
(Missing) 10
26.3%
ValueCountFrequency (%)
20170724 1
2.6%
20190329 1
2.6%
20200106 1
2.6%
20200828 1
2.6%
20201120 1
2.6%
20211202 1
2.6%
20211209 1
2.6%
20220720 1
2.6%
20221007 1
2.6%
20221128 1
2.6%
ValueCountFrequency (%)
20230925 1
 
2.6%
20230906 1
 
2.6%
20230905 1
 
2.6%
20230904 3
7.9%
20230831 1
 
2.6%
20230829 1
 
2.6%
20230818 1
 
2.6%
20230714 1
 
2.6%
20230614 1
 
2.6%
20230530 1
 
2.6%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
적합
28 
-
10 

Length

Max length2
Median length2
Mean length1.7368421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 28
73.7%
- 10
 
26.3%

Length

2024-03-14T04:04:09.958467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:04:10.032699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 28
73.7%
10
 
26.3%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-14T04:04:10.095487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.815789
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:10.162758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.55
Q110
median15
Q321.75
95-th percentile42.9
Maximum63
Range61
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation12.489683
Coefficient of variation (CV)0.70104571
Kurtosis4.1084389
Mean17.815789
Median Absolute Deviation (MAD)5
Skewness1.8826419
Sum677
Variance155.99218
MonotonicityNot monotonic
2024-03-14T04:04:10.246747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
10 6
15.8%
16 6
15.8%
11 3
 
7.9%
12 3
 
7.9%
15 2
 
5.3%
8 2
 
5.3%
24 2
 
5.3%
22 1
 
2.6%
4 1
 
2.6%
63 1
 
2.6%
Other values (11) 11
28.9%
ValueCountFrequency (%)
2 1
 
2.6%
4 1
 
2.6%
7 1
 
2.6%
8 2
 
5.3%
9 1
 
2.6%
10 6
15.8%
11 3
7.9%
12 3
7.9%
15 2
 
5.3%
16 6
15.8%
ValueCountFrequency (%)
63 1
2.6%
48 1
2.6%
42 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
25 1
2.6%
24 2
5.3%
22 1
2.6%
21 1
2.6%

CCTV 건물 안 설치수
Real number (ℝ)

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.210526
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:10.330199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q17
median10
Q314.75
95-th percentile23
Maximum58
Range57
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation9.7152928
Coefficient of variation (CV)0.79564898
Kurtosis12.807796
Mean12.210526
Median Absolute Deviation (MAD)4
Skewness2.9464443
Sum464
Variance94.386913
MonotonicityNot monotonic
2024-03-14T04:04:10.410754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7 4
 
10.5%
6 3
 
7.9%
14 3
 
7.9%
9 3
 
7.9%
8 2
 
5.3%
13 2
 
5.3%
12 2
 
5.3%
10 2
 
5.3%
3 2
 
5.3%
16 2
 
5.3%
Other values (11) 13
34.2%
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
3 2
5.3%
4 1
 
2.6%
5 1
 
2.6%
6 3
7.9%
7 4
10.5%
8 2
5.3%
9 3
7.9%
10 2
5.3%
ValueCountFrequency (%)
58 1
 
2.6%
23 2
5.3%
22 1
 
2.6%
21 1
 
2.6%
20 2
5.3%
16 2
5.3%
15 1
 
2.6%
14 3
7.9%
13 2
5.3%
12 2
5.3%

CCTV 건물 밖 설치수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6052632
Minimum0
Maximum26
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T04:04:10.492730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q12
median3
Q36
95-th percentile19
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.0517564
Coefficient of variation (CV)1.0796561
Kurtosis2.9356875
Mean5.6052632
Median Absolute Deviation (MAD)2
Skewness1.8113067
Sum213
Variance36.623755
MonotonicityNot monotonic
2024-03-14T04:04:10.584724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 10
26.3%
3 5
13.2%
1 4
 
10.5%
6 3
 
7.9%
4 3
 
7.9%
9 2
 
5.3%
19 2
 
5.3%
0 2
 
5.3%
5 2
 
5.3%
13 2
 
5.3%
Other values (3) 3
 
7.9%
ValueCountFrequency (%)
0 2
 
5.3%
1 4
 
10.5%
2 10
26.3%
3 5
13.2%
4 3
 
7.9%
5 2
 
5.3%
6 3
 
7.9%
9 2
 
5.3%
10 1
 
2.6%
13 2
 
5.3%
ValueCountFrequency (%)
26 1
 
2.6%
19 2
 
5.3%
16 1
 
2.6%
13 2
 
5.3%
10 1
 
2.6%
9 2
 
5.3%
6 3
7.9%
5 2
 
5.3%
4 3
7.9%
3 5
13.2%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
31 
20182
 
2
20202
 
2
20212
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row20182
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

Length

2024-03-14T04:04:10.689076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:04:10.788348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T04:04:10.975824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.394737
Min length16

Characters and Unicode

Total characters737
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 (%)94.7%

Sample

1st row서울특별시 강동구 성안로 64
2nd row서울특별시 강동구 동남로 832
3rd row서울특별시 강동구 성내로3가길 61
4th row서울특별시 강동구 구천면로 645
5th row서울특별시 강동구 상암로 11
ValueCountFrequency (%)
서울특별시 38
25.0%
강동구 38
25.0%
구천면로 4
 
2.6%
고덕로97길 2
 
1.3%
80 2
 
1.3%
고덕로 2
 
1.3%
64 2
 
1.3%
천호대로187길 2
 
1.3%
상암로63길 2
 
1.3%
53 2
 
1.3%
Other values (58) 58
38.2%
2024-03-14T04:04:11.277891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.5%
구 44
 
6.0%
동 42
 
5.7%
강 39
 
5.3%
서 38
 
5.2%
특 38
 
5.2%
별 38
 
5.2%
시 38
 
5.2%
울 38
 
5.2%
로 37
 
5.0%
Other values (39) 271
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
62.4%
Decimal Number 155
 
21.0%
Space Separator 114
 
15.5%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Decimal Number
ValueCountFrequency (%)
1 30
19.4%
3 25
16.1%
6 20
12.9%
8 15
9.7%
9 13
8.4%
2 12
 
7.7%
5 11
 
7.1%
0 11
 
7.1%
4 10
 
6.5%
7 8
 
5.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
62.4%
Common 277
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Common
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
62.4%
ASCII 277
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%
Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청강동송파교육지원청1ecec08c-ed95-b044-e053-0a32095ab044송원유치원사립(사인)Y20180814Y20181005Y20171206Y20180821Y20170724적합Y108220182서울특별시 강동구 성안로 64
1서울특별시교육청강동송파교육지원청1ecec08c-ef39-b044-e053-0a32095ab044한영중고등학교병설한영유치원사립(법인)Y20230904Y20221103Y20230821Y20230925Y20230829적합Y2516920232서울특별시 강동구 동남로 832
2서울특별시교육청강동송파교육지원청1ecec08c-f123-b044-e053-0a32095ab044준현유치원사립(사인)Y20230417Y20230516Y20220927Y20221109N<NA>-Y1615120232서울특별시 강동구 성내로3가길 61
3서울특별시교육청강동송파교육지원청1ecec08c-f12c-b044-e053-0a32095ab044고덕유치원사립(법인)Y20230613Y20230821Y20230821Y20230915Y20230517적합Y107320232서울특별시 강동구 구천면로 645
4서울특별시교육청강동송파교육지원청1ecec08c-f289-b044-e053-0a32095ab044예슬유치원사립(사인)Y20230830Y20230523Y20230619Y20221024Y20230125적합Y21120232서울특별시 강동구 상암로 11
5서울특별시교육청강동송파교육지원청1ecec08c-f337-b044-e053-0a32095ab044서울고명초등학교병설유치원공립(병설)Y20230914Y20230905Y20230911Y20230919Y20230904적합Y42220232서울특별시 강동구 고덕로46길 53
6서울특별시교육청강동송파교육지원청1ecec08c-f338-b044-e053-0a32095ab044서울명일유치원공립(단설)Y20230608Y20230404Y20230904Y20230829Y20230905적합Y104620232서울특별시 강동구 암사19길 53
7서울특별시교육청강동송파교육지원청1ecec08c-f33c-b044-e053-0a32095ab044성보나유치원사립(법인)Y20230904Y20230110Y20221209Y20230315Y20211209적합Y106420232서울특별시 강동구 고덕로83길 68
8서울특별시교육청강동송파교육지원청1ecec08c-f426-b044-e053-0a32095ab044오송유치원사립(사인)Y20230823Y20230901Y20230901Y20230901N<NA>-Y1614220232서울특별시 강동구 구천면로39길 26
9서울특별시교육청강동송파교육지원청1ecec08c-f4c7-b044-e053-0a32095ab044반석유치원사립(사인)Y20230428Y20230526Y20230914Y20230920N<NA>-Y1210220232서울특별시 강동구 양재대로124길 89-18
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
28서울특별시교육청강동송파교육지원청1ecec08d-0b38-b044-e053-0a32095ab044서울천호초등학교병설유치원공립(병설)Y20230927Y20220926Y20230807Y20230821Y20230818적합Y42231920232서울특별시 강동구 구천면로 310-11
29서울특별시교육청강동송파교육지원청1ecec08d-0c15-b044-e053-0a32095ab044그리새유치원사립(사인)Y20210916Y20210927Y20210401Y20210930Y20200106적합Y75220212서울특별시 강동구 천호대로187길 53-18
30서울특별시교육청강동송파교육지원청1ecec08d-0d55-b044-e053-0a32095ab044천호유치원사립(법인)Y20230926Y20220901Y20230913Y20230920Y20230614적합Y1913620232서울특별시 강동구 구천면로 236-1
31서울특별시교육청강동송파교육지원청1ecec08d-0eee-b044-e053-0a32095ab044고덕한울유치원사립(사인)Y20201026Y20191217Y20200422N<NA>N<NA>-Y1514120202서울특별시 강동구 양재대로 1706
32서울특별시교육청강동송파교육지원청384943bc-313e-465b-b2ef-76a20afa6dda서울고현초등학교병설유치원공립(병설)Y20230712Y20230209Y20230906Y20230911Y20230906적합Y32161620232서울특별시 강동구 상일로11길 110
33서울특별시교육청강동송파교육지원청4f559f09-9ed1-4997-8dac-73a60b15573b서울강솔유치원공립(단설)Y20230905Y20230302Y20230302Y20230302Y20230302적합Y107320232서울특별시 강동구 고덕로97길 80
34서울특별시교육청강동송파교육지원청8cd5853a-2caf-4ed7-89dd-c505aac27823선아유치원사립(사인)Y20230907Y20230310Y20230816Y20230824N<NA>-Y119220232서울특별시 강동구 구천면로 650
35서울특별시교육청강동송파교육지원청c331985b-b881-4725-9fc3-6e80741044d9서울강빛초등학교병설유치원공립(병설)Y20230926Y20230803Y20230803Y20230920Y20230925적합Y48222620232서울특별시 강동구 아리수로93다길 1
36서울특별시교육청강동송파교육지원청dc3c0174-def5-4b61-a69d-19ff119cdf2e서울고일초등학교병설유치원공립(병설)Y20230919Y20230919Y20230906Y20230919Y20230904적합Y97220232서울특별시 강동구 구천면로93길 20
37서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)N<NA>Y20190117Y20190809Y20190903Y20190329적합Y31211020192서울특별시 강동구 고덕로97길 80