Overview

Dataset statistics

Number of variables22
Number of observations39
Missing cells12
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory188.4 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20824/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
소방대피훈련여부 has constant value ""Constant
가스점검여부 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
소방안전점검여부 is highly imbalanced (82.8%)Imbalance
CCTV 설치여부 is highly imbalanced (82.8%)Imbalance
공시차수 is highly imbalanced (52.5%)Imbalance
소방안전점검일자 has 1 (2.6%) missing valuesMissing
놀이시설 안전검사 점검일자 has 7 (17.9%) missing valuesMissing
CCTV 총 설치수 has 1 (2.6%) missing valuesMissing
CCTV 건물 안 설치수 has 2 (5.1%) missing valuesMissing
CCTV 건물 밖 설치수 has 1 (2.6%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 안 설치수 has 1 (2.6%) zerosZeros
CCTV 건물 밖 설치수 has 2 (5.1%) zerosZeros

Reproduction

Analysis started2024-03-13 10:59:40.715927
Analysis finished2024-03-13 10:59:41.001629
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
서울특별시교육청
39 

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 39
100.0%

Length

2024-03-13T19:59:41.064626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:59:41.164736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 39
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동작관악교육지원청
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

Length

2024-03-13T19:59:41.310066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:59:41.399471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T19:59:41.596678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1404
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

Unique39 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2b-b044-e053-0a32095ab044
2nd row1ecec08c-ef06-b044-e053-0a32095ab044
3rd row1ecec08c-ef08-b044-e053-0a32095ab044
4th row1ecec08c-efc0-b044-e053-0a32095ab044
5th row1ecec08c-f124-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0571-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08fa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c8b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d68-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d69-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6a-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f8-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T19:59:41.975756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
56.0%
Lowercase Letter 462
32.9%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
28.8%
4 155
19.7%
3 87
 
11.1%
5 79
 
10.1%
8 63
 
8.0%
1 49
 
6.2%
9 47
 
6.0%
2 44
 
5.6%
6 20
 
2.5%
7 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
67.1%
Latin 462
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
24.0%
- 156
16.6%
4 155
16.5%
3 87
 
9.2%
5 79
 
8.4%
8 63
 
6.7%
1 49
 
5.2%
9 47
 
5.0%
2 44
 
4.7%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T19:59:42.251237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.7692308
Min length5

Characters and Unicode

Total characters303
Distinct characters63
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

Unique39 ?
Unique (%)100.0%

Sample

1st row한별유치원
2nd row동원유치원
3rd row서울관악초등학교병설유치원
4th row서울은천초등학교병설유치원
5th row서울신성초등학교병설유치원
ValueCountFrequency (%)
한별유치원 1
 
2.6%
애동유치원 1
 
2.6%
서울난곡초등학교병설유치원 1
 
2.6%
건영유치원 1
 
2.6%
해슬아유치원 1
 
2.6%
배꽃유치원 1
 
2.6%
새소슬유치원 1
 
2.6%
새싹유치원 1
 
2.6%
서울원당초등학교병설유치원 1
 
2.6%
명성유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T19:59:42.792682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

설립유형
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
사립(사인)
20 
공립(병설)
12 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
51.3%
공립(병설) 12
30.8%
공립(단설) 4
 
10.3%
사립(법인) 3
 
7.7%

Length

2024-03-13T19:59:43.040928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:59:43.175113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
51.3%
공립(병설 12
30.8%
공립(단설 4
 
10.3%
사립(법인 3
 
7.7%

소방대피훈련여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
39 
ValueCountFrequency (%)
True 39
100.0%
2024-03-13T19:59:43.342175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

Distinct32
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222595
Minimum20180628
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:43.479011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180628
5-th percentile20180918
Q120230408
median20230831
Q320230913
95-th percentile20230920
Maximum20230926
Range50298
Interquartile range (IQR)505.5

Descriptive statistics

Standard deviation16967.298
Coefficient of variation (CV)0.00083902673
Kurtosis1.4203615
Mean20222595
Median Absolute Deviation (MAD)89
Skewness-1.756882
Sum7.8868122 × 108
Variance2.878892 × 108
MonotonicityNot monotonic
2024-03-13T19:59:43.711964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20230913 3
 
7.7%
20230915 3
 
7.7%
20230901 2
 
5.1%
20230919 2
 
5.1%
20230904 2
 
5.1%
20230914 1
 
2.6%
20210924 1
 
2.6%
20180910 1
 
2.6%
20230920 1
 
2.6%
20230821 1
 
2.6%
Other values (22) 22
56.4%
ValueCountFrequency (%)
20180628 1
2.6%
20180910 1
2.6%
20180919 1
2.6%
20190823 1
2.6%
20190826 1
2.6%
20190828 1
2.6%
20201124 1
2.6%
20210924 1
2.6%
20230321 1
2.6%
20230404 1
2.6%
ValueCountFrequency (%)
20230926 1
 
2.6%
20230922 1
 
2.6%
20230920 1
 
2.6%
20230919 2
5.1%
20230915 3
7.7%
20230914 1
 
2.6%
20230913 3
7.7%
20230912 1
 
2.6%
20230908 1
 
2.6%
20230906 1
 
2.6%

가스점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
39 
ValueCountFrequency (%)
True 39
100.0%
2024-03-13T19:59:43.964908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가스점검일자
Real number (ℝ)

Distinct34
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221444
Minimum20180306
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:44.104420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180306
5-th percentile20180793
Q120225620
median20230524
Q320230862
95-th percentile20230925
Maximum20230926
Range50620
Interquartile range (IQR)5242

Descriptive statistics

Standard deviation17528.89
Coefficient of variation (CV)0.00086684657
Kurtosis1.0811613
Mean20221444
Median Absolute Deviation (MAD)389
Skewness-1.6383885
Sum7.8863632 × 108
Variance3.0726197 × 108
MonotonicityNot monotonic
2024-03-13T19:59:44.294780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20230915 3
 
7.7%
20230818 2
 
5.1%
20230925 2
 
5.1%
20230504 2
 
5.1%
20230302 1
 
2.6%
20230131 1
 
2.6%
20210305 1
 
2.6%
20180813 1
 
2.6%
20230823 1
 
2.6%
20230424 1
 
2.6%
Other values (24) 24
61.5%
ValueCountFrequency (%)
20180306 1
2.6%
20180615 1
2.6%
20180813 1
2.6%
20181010 1
2.6%
20190227 1
2.6%
20190904 1
2.6%
20201018 1
2.6%
20210305 1
2.6%
20210727 1
2.6%
20221129 1
2.6%
ValueCountFrequency (%)
20230926 1
 
2.6%
20230925 2
5.1%
20230918 1
 
2.6%
20230915 3
7.7%
20230913 1
 
2.6%
20230905 1
 
2.6%
20230901 1
 
2.6%
20230823 1
 
2.6%
20230818 2
5.1%
20230807 1
 
2.6%

소방안전점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
38 
False
 
1
ValueCountFrequency (%)
True 38
97.4%
False 1
 
2.6%
2024-03-13T19:59:44.405107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean20221824
Minimum20180126
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:44.503040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180126
5-th percentile20180844
Q120230171
median20230822
Q320230911
95-th percentile20230920
Maximum20230922
Range50796
Interquartile range (IQR)740

Descriptive statistics

Standard deviation17692.083
Coefficient of variation (CV)0.00087490046
Kurtosis1.2034649
Mean20221824
Median Absolute Deviation (MAD)98.5
Skewness-1.6933611
Sum7.684293 × 108
Variance3.130098 × 108
MonotonicityNot monotonic
2024-03-13T19:59:44.658870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20230911 4
 
10.3%
20230918 2
 
5.1%
20230905 2
 
5.1%
20230309 1
 
2.6%
20230922 1
 
2.6%
20230826 1
 
2.6%
20210604 1
 
2.6%
20180126 1
 
2.6%
20230904 1
 
2.6%
20230915 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
20180126 1
2.6%
20180410 1
2.6%
20180921 1
2.6%
20181031 1
2.6%
20190827 1
2.6%
20190904 1
2.6%
20201124 1
2.6%
20210604 1
2.6%
20221230 1
2.6%
20230125 1
2.6%
ValueCountFrequency (%)
20230922 1
 
2.6%
20230921 1
 
2.6%
20230920 1
 
2.6%
20230918 2
5.1%
20230915 1
 
2.6%
20230914 1
 
2.6%
20230913 1
 
2.6%
20230911 4
10.3%
20230908 1
 
2.6%
20230907 1
 
2.6%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
39 
ValueCountFrequency (%)
True 39
100.0%
2024-03-13T19:59:44.791514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct30
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220548
Minimum20170608
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:44.970367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170608
5-th percentile20179801
Q120220576
median20230821
Q320230914
95-th percentile20230925
Maximum20230927
Range60319
Interquartile range (IQR)10338.5

Descriptive statistics

Standard deviation18708.991
Coefficient of variation (CV)0.00092524647
Kurtosis1.624437
Mean20220548
Median Absolute Deviation (MAD)104
Skewness-1.7196521
Sum7.8860139 × 108
Variance3.5002635 × 108
MonotonicityNot monotonic
2024-03-13T19:59:45.175384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230905 3
 
7.7%
20230918 3
 
7.7%
20230925 2
 
5.1%
20230920 2
 
5.1%
20230912 2
 
5.1%
20230705 2
 
5.1%
20230913 2
 
5.1%
20230315 1
 
2.6%
20210909 1
 
2.6%
20170608 1
 
2.6%
Other values (20) 20
51.3%
ValueCountFrequency (%)
20170608 1
2.6%
20170616 1
2.6%
20180822 1
2.6%
20181005 1
2.6%
20190816 1
2.6%
20190904 1
2.6%
20201123 1
2.6%
20210608 1
2.6%
20210909 1
2.6%
20220228 1
2.6%
ValueCountFrequency (%)
20230927 1
 
2.6%
20230925 2
5.1%
20230921 1
 
2.6%
20230920 2
5.1%
20230918 3
7.7%
20230915 1
 
2.6%
20230913 2
5.1%
20230912 2
5.1%
20230906 1
 
2.6%
20230905 3
7.7%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
32 
False
7 
ValueCountFrequency (%)
True 32
82.1%
False 7
 
17.9%
2024-03-13T19:59:45.346341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)93.8%
Missing7
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean20220010
Minimum20171031
Maximum20230923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:45.463022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171031
5-th percentile20180723
Q120220288
median20230120
Q320230730
95-th percentile20230917
Maximum20230923
Range59892
Interquartile range (IQR)10442

Descriptive statistics

Standard deviation16565.496
Coefficient of variation (CV)0.00081926248
Kurtosis2.6735282
Mean20220010
Median Absolute Deviation (MAD)802
Skewness-1.8656729
Sum6.4704032 × 108
Variance2.7441565 × 108
MonotonicityNot monotonic
2024-03-13T19:59:45.609586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20230120 2
 
5.1%
20220314 2
 
5.1%
20230923 1
 
2.6%
20230317 1
 
2.6%
20230314 1
 
2.6%
20230809 1
 
2.6%
20230904 1
 
2.6%
20230323 1
 
2.6%
20211122 1
 
2.6%
20230503 1
 
2.6%
Other values (20) 20
51.3%
(Missing) 7
 
17.9%
ValueCountFrequency (%)
20171031 1
2.6%
20180226 1
2.6%
20181130 1
2.6%
20190729 1
2.6%
20210319 1
2.6%
20211122 1
2.6%
20211230 1
2.6%
20220208 1
2.6%
20220314 2
5.1%
20220411 1
2.6%
ValueCountFrequency (%)
20230923 1
2.6%
20230921 1
2.6%
20230914 1
2.6%
20230906 1
2.6%
20230904 1
2.6%
20230831 1
2.6%
20230811 1
2.6%
20230809 1
2.6%
20230703 1
2.6%
20230503 1
2.6%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
적합
32 
-
7 

Length

Max length2
Median length2
Mean length1.8205128
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 32
82.1%
- 7
 
17.9%

Length

2024-03-13T19:59:45.734719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:59:45.831483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 32
82.1%
7
 
17.9%

CCTV 설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
38 
False
 
1
ValueCountFrequency (%)
True 38
97.4%
False 1
 
2.6%
2024-03-13T19:59:45.925907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)65.8%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean15.763158
Minimum2
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:46.025558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.85
Q18
median15
Q321.75
95-th percentile31.2
Maximum40
Range38
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation9.3993508
Coefficient of variation (CV)0.59628603
Kurtosis0.20661117
Mean15.763158
Median Absolute Deviation (MAD)7
Skewness0.70448108
Sum599
Variance88.347795
MonotonicityNot monotonic
2024-03-13T19:59:46.140586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 5
 
12.8%
15 4
 
10.3%
16 4
 
10.3%
4 3
 
7.7%
23 2
 
5.1%
27 1
 
2.6%
22 1
 
2.6%
40 1
 
2.6%
26 1
 
2.6%
21 1
 
2.6%
Other values (15) 15
38.5%
ValueCountFrequency (%)
2 1
 
2.6%
3 1
 
2.6%
4 3
7.7%
6 1
 
2.6%
7 1
 
2.6%
8 5
12.8%
9 1
 
2.6%
11 1
 
2.6%
13 1
 
2.6%
14 1
 
2.6%
ValueCountFrequency (%)
40 1
2.6%
38 1
2.6%
30 1
2.6%
28 1
2.6%
27 1
2.6%
26 1
2.6%
25 1
2.6%
23 2
5.1%
22 1
2.6%
21 1
2.6%

CCTV 건물 안 설치수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)59.5%
Missing2
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean10.783784
Minimum0
Maximum30
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:46.299023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q16
median9
Q315
95-th percentile22.4
Maximum30
Range30
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.8562021
Coefficient of variation (CV)0.63578817
Kurtosis0.3482812
Mean10.783784
Median Absolute Deviation (MAD)5
Skewness0.69902465
Sum399
Variance47.007508
MonotonicityNot monotonic
2024-03-13T19:59:46.452877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9 5
12.8%
12 3
 
7.7%
7 3
 
7.7%
4 3
 
7.7%
16 2
 
5.1%
19 2
 
5.1%
15 2
 
5.1%
3 2
 
5.1%
6 2
 
5.1%
30 1
 
2.6%
Other values (12) 12
30.8%
(Missing) 2
 
5.1%
ValueCountFrequency (%)
0 1
 
2.6%
1 1
 
2.6%
2 1
 
2.6%
3 2
 
5.1%
4 3
7.7%
5 1
 
2.6%
6 2
 
5.1%
7 3
7.7%
9 5
12.8%
10 1
 
2.6%
ValueCountFrequency (%)
30 1
2.6%
24 1
2.6%
22 1
2.6%
19 2
5.1%
18 1
2.6%
17 1
2.6%
16 2
5.1%
15 2
5.1%
14 1
2.6%
13 1
2.6%

CCTV 건물 밖 설치수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)34.2%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean5.2631579
Minimum0
Maximum22
Zeros2
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T19:59:46.921438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q12
median3.5
Q36.75
95-th percentile16.3
Maximum22
Range22
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation5.0707652
Coefficient of variation (CV)0.96344539
Kurtosis2.9576098
Mean5.2631579
Median Absolute Deviation (MAD)2
Skewness1.7767529
Sum200
Variance25.71266
MonotonicityNot monotonic
2024-03-13T19:59:47.041737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 7
17.9%
4 6
15.4%
2 6
15.4%
1 4
10.3%
6 3
7.7%
7 2
 
5.1%
0 2
 
5.1%
8 2
 
5.1%
13 2
 
5.1%
18 1
 
2.6%
Other values (3) 3
7.7%
ValueCountFrequency (%)
0 2
 
5.1%
1 4
10.3%
2 6
15.4%
3 7
17.9%
4 6
15.4%
6 3
7.7%
7 2
 
5.1%
8 2
 
5.1%
9 1
 
2.6%
13 2
 
5.1%
ValueCountFrequency (%)
22 1
 
2.6%
18 1
 
2.6%
16 1
 
2.6%
13 2
 
5.1%
9 1
 
2.6%
8 2
 
5.1%
7 2
 
5.1%
6 3
7.7%
4 6
15.4%
3 7
17.9%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
20232
31 
20182
 
3
20192
 
3
20202
 
1
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
20232 31
79.5%
20182 3
 
7.7%
20192 3
 
7.7%
20202 1
 
2.6%
20212 1
 
2.6%

Length

2024-03-13T19:59:47.184169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:59:47.390294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 31
79.5%
20182 3
 
7.7%
20192 3
 
7.7%
20202 1
 
2.6%
20212 1
 
2.6%

주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T19:59:47.845251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.897436
Min length16

Characters and Unicode

Total characters698
Distinct characters63
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 관악구 남부순환로144길 65
2nd row서울특별시 관악구 행운1길 96
3rd row서울특별시 관악구 청룡4길 49
4th row서울특별시 관악구 은천로 69
5th row서울특별시 관악구 신림로 114
ValueCountFrequency (%)
서울특별시 39
25.0%
관악구 39
25.0%
은천로 3
 
1.9%
12 3
 
1.9%
청림5길 2
 
1.3%
22 2
 
1.3%
93 2
 
1.3%
20 2
 
1.3%
114 2
 
1.3%
광신길 1
 
0.6%
Other values (61) 61
39.1%
2024-03-13T19:59:48.586074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.8%
관 43
 
6.2%
악 43
 
6.2%
구 40
 
5.7%
서 39
 
5.6%
특 39
 
5.6%
별 39
 
5.6%
시 39
 
5.6%
울 39
 
5.6%
길 29
 
4.2%
Other values (53) 231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
65.5%
Decimal Number 123
 
17.6%
Space Separator 117
 
16.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
17.1%
2 20
16.3%
5 17
13.8%
4 16
13.0%
3 12
9.8%
6 10
8.1%
9 10
8.1%
0 8
 
6.5%
7 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
65.5%
Common 241
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Common
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
65.5%
ASCII 241
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)Y20230821Y20230302Y20230309Y20230315Y20220314적합Y1512320232서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)Y20230710Y20230818Y20230818Y20230818Y20230906적합Y1612420232서울특별시 관악구 행운1길 96
2서울특별시교육청동작관악교육지원청1ecec08c-ef08-b044-e053-0a32095ab044서울관악초등학교병설유치원공립(병설)Y20230912Y20230615Y20230905Y20230918Y20221209적합Y20220232서울특별시 관악구 청룡4길 49
3서울특별시교육청동작관악교육지원청1ecec08c-efc0-b044-e053-0a32095ab044서울은천초등학교병설유치원공립(병설)Y20230516Y20230623Y20230810Y20230821Y20230923적합Y96320232서울특별시 관악구 은천로 69
4서울특별시교육청동작관악교육지원청1ecec08c-f124-b044-e053-0a32095ab044서울신성초등학교병설유치원공립(병설)Y20230919Y20230925Y20230920Y20230925Y20230317적합Y85320232서울특별시 관악구 신림로 114
5서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)Y20180628Y20180615Y20180921Y20170616N<NA>-Y43120182서울특별시 관악구 관악로30길 12
6서울특별시교육청동작관악교육지원청1ecec08c-f1af-b044-e053-0a32095ab044현대유치원사립(사인)Y20230830Y20230323Y20230327Y20221208Y20220314적합Y169720232서울특별시 관악구 관악로40길 55
7서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)Y20190823Y20190227Y20181031Y20190816Y20181130적합Y41320192서울특별시 관악구 신원로3길 59-9
8서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)Y20180919Y20180306Y20180410Y20180822N<NA>-N<NA><NA><NA>20182서울특별시 관악구 낙성대역14길 6
9서울특별시교육청동작관악교육지원청1ecec08c-f5f1-b044-e053-0a32095ab044종인유치원사립(사인)Y20201124Y20201018Y20201124Y20201123N<NA>-Y4<NA>420202서울특별시 관악구 솔밭로 20
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)Y20230904Y20230504Y20230509Y20230705Y20220411적합Y2317620232서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)Y20230915Y20230807Y20230125Y20230110N<NA>-Y1815320232서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)Y20230404Y20230905Y20230914Y20230913Y20230831적합Y30121820232서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)Y20230901Y20230915Y20230911Y20230905Y20230503적합Y2516920232서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)Y20230906Y20210727Y20230321Y20230316Y20211122적합Y169720232서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)Y20230609Y20230925Y20230907Y20230927N<NA>-Y2119220232서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)Y20230908Y20230901Y20230918Y20230912Y20230323적합Y2642220232서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)Y20230321Y20230913Y20230911Y20230918Y20230904적합Y87120232서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)Y20230913Y20230524Y20230524Y20230524Y20230809적합Y40241620232서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)Y20230510Y20221129Y20230911Y20230920Y20230314적합Y2291320232서울특별시 관악구 문성로28길 31