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
Boolean5
Numeric9

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20823/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 (77.9%)Imbalance
가스점검일자 has 2 (5.3%) missing valuesMissing
놀이시설 안전검사 점검일자 has 10 (26.3%) missing valuesMissing
CCTV 건물 밖 설치수 has 1 (2.6%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 밖 설치수 has 4 (10.5%) zerosZeros

Reproduction

Analysis started2024-03-13 16:32:52.992456
Analysis finished2024-03-13 16:32:53.204058
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

2024-03-14T01:32:53.251401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:32:53.323244image/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
동작관악교육지원청
38 

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 38
100.0%

Length

2024-03-14T01:32:53.394734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:32:53.466681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:32:53.625400image/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-efbf-b044-e053-0a32095ab044
2nd row1ecec08c-efc2-b044-e053-0a32095ab044
3rd row1ecec08c-f1a0-b044-e053-0a32095ab044
4th row1ecec08c-f1ad-b044-e053-0a32095ab044
5th row1ecec08c-f3eb-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-efbf-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6c-b044-e053-0a32095ab044 1
 
2.6%
8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73 1
 
2.6%
1ecec08d-0562-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-06c3-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09b9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ba-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09bb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d67-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T01:32:53.923237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 751
54.9%
Lowercase Letter 465
34.0%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.9%
4 141
18.8%
3 81
 
10.8%
5 76
 
10.1%
1 55
 
7.3%
8 52
 
6.9%
9 51
 
6.8%
2 46
 
6.1%
6 24
 
3.2%
7 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
66.0%
Latin 465
34.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
24.0%
- 152
16.8%
4 141
15.6%
3 81
 
9.0%
5 76
 
8.4%
1 55
 
6.1%
8 52
 
5.8%
9 51
 
5.6%
2 46
 
5.1%
6 24
 
2.7%
Latin
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:32:54.117945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2631579
Min length5

Characters and Unicode

Total characters276
Distinct characters69
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 row서울은로초등학교병설유치원
2nd row예림유치원
3rd row서울상도유치원
4th row총신대부속유치원
5th row동그라미유치원
ValueCountFrequency (%)
서울은로초등학교병설유치원 1
 
2.6%
서울강남초등학교병설유치원 1
 
2.6%
서울은로유치원 1
 
2.6%
노량진교회유치원 1
 
2.6%
하랑숲유치원 1
 
2.6%
상아유치원 1
 
2.6%
소망유치원 1
 
2.6%
승혜유치원 1
 
2.6%
요요유치원 1
 
2.6%
명수유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T01:32:54.393253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
19 
사립(법인)
9 
공립(병설)
8 
공립(단설)
2 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 19
50.0%
사립(법인) 9
23.7%
공립(병설) 8
21.1%
공립(단설) 2
 
5.3%

Length

2024-03-14T01:32:54.496324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:32:54.585460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 19
50.0%
사립(법인 9
23.7%
공립(병설 8
21.1%
공립(단설 2
 
5.3%

소방대피훈련여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-14T01:32:54.662915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221063
Minimum20180612
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:54.742843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180612
5-th percentile20180990
Q120220664
median20230712
Q320230911
95-th percentile20230925
Maximum20230926
Range50314
Interquartile range (IQR)10247.25

Descriptive statistics

Standard deviation16846.024
Coefficient of variation (CV)0.00083309294
Kurtosis0.81121335
Mean20221063
Median Absolute Deviation (MAD)204
Skewness-1.5111494
Sum7.6840038 × 108
Variance2.8378854 × 108
MonotonicityNot monotonic
2024-03-14T01:32:54.843745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20230925 2
 
5.3%
20230904 2
 
5.3%
20230912 2
 
5.3%
20230908 2
 
5.3%
20230519 1
 
2.6%
20230804 1
 
2.6%
20180612 1
 
2.6%
20230518 1
 
2.6%
20230706 1
 
2.6%
20220905 1
 
2.6%
Other values (24) 24
63.2%
ValueCountFrequency (%)
20180612 1
2.6%
20180912 1
2.6%
20181004 1
2.6%
20190304 1
2.6%
20190830 1
2.6%
20201015 1
2.6%
20201021 1
2.6%
20201026 1
2.6%
20210401 1
2.6%
20220610 1
2.6%
ValueCountFrequency (%)
20230926 1
2.6%
20230925 2
5.3%
20230922 1
2.6%
20230921 1
2.6%
20230919 1
2.6%
20230914 1
2.6%
20230913 1
2.6%
20230912 2
5.3%
20230908 2
5.3%
20230907 1
2.6%

가스점검여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
Y
36 
X
 
1
N
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
Y 36
94.7%
X 1
 
2.6%
N 1
 
2.6%

Length

2024-03-14T01:32:54.974865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:32:55.081126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 36
94.7%
x 1
 
2.6%
n 1
 
2.6%

가스점검일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)91.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean20219049
Minimum20180618
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:55.165649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180618
5-th percentile20180718
Q120211001
median20230315
Q320230849
95-th percentile20230925
Maximum20230927
Range50309
Interquartile range (IQR)19848.25

Descriptive statistics

Standard deviation17917.359
Coefficient of variation (CV)0.00088616227
Kurtosis0.1821482
Mean20219049
Median Absolute Deviation (MAD)605
Skewness-1.3063762
Sum7.2788577 × 108
Variance3.2103174 × 108
MonotonicityNot monotonic
2024-03-14T01:32:55.264031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20230904 3
 
7.9%
20230925 2
 
5.3%
20230922 1
 
2.6%
20180618 1
 
2.6%
20230713 1
 
2.6%
20220801 1
 
2.6%
20230116 1
 
2.6%
20201028 1
 
2.6%
20230309 1
 
2.6%
20230215 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
20180618 1
2.6%
20180716 1
2.6%
20180719 1
2.6%
20181016 1
2.6%
20190305 1
2.6%
20191127 1
2.6%
20200924 1
2.6%
20201028 1
2.6%
20210401 1
2.6%
20211201 1
2.6%
ValueCountFrequency (%)
20230927 1
 
2.6%
20230925 2
5.3%
20230922 1
 
2.6%
20230918 1
 
2.6%
20230907 1
 
2.6%
20230904 3
7.9%
20230831 1
 
2.6%
20230808 1
 
2.6%
20230720 1
 
2.6%
20230713 1
 
2.6%

소방안전점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-14T01:32:55.346390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220760
Minimum20180307
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:55.423261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180307
5-th percentile20180810
Q120220842
median20230824
Q320230908
95-th percentile20230925
Maximum20230926
Range50619
Interquartile range (IQR)10066

Descriptive statistics

Standard deviation16865.456
Coefficient of variation (CV)0.00083406636
Kurtosis0.77173846
Mean20220760
Median Absolute Deviation (MAD)101
Skewness-1.4896511
Sum7.6838888 × 108
Variance2.8444359 × 108
MonotonicityNot monotonic
2024-03-14T01:32:55.532515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20230904 3
 
7.9%
20230906 2
 
5.3%
20230925 2
 
5.3%
20180810 2
 
5.3%
20230908 2
 
5.3%
20230914 2
 
5.3%
20220929 1
 
2.6%
20230602 1
 
2.6%
20230829 1
 
2.6%
20180307 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
20180307 1
2.6%
20180810 2
5.3%
20190122 1
2.6%
20190312 1
2.6%
20200317 1
2.6%
20200929 1
2.6%
20201026 1
2.6%
20210401 1
2.6%
20220816 1
2.6%
20220919 1
2.6%
ValueCountFrequency (%)
20230926 1
2.6%
20230925 2
5.3%
20230919 1
2.6%
20230916 1
2.6%
20230914 2
5.3%
20230911 1
2.6%
20230908 2
5.3%
20230907 1
2.6%
20230906 2
5.3%
20230905 1
2.6%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-14T01:32:55.616631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20219992
Minimum20180107
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:55.693022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180107
5-th percentile20180807
Q120220599
median20230666
Q320230912
95-th percentile20230923
Maximum20230927
Range50820
Interquartile range (IQR)10313.25

Descriptive statistics

Standard deviation17229.08
Coefficient of variation (CV)0.00085208146
Kurtosis0.74190009
Mean20219992
Median Absolute Deviation (MAD)258
Skewness-1.4659939
Sum7.683597 × 108
Variance2.9684121 × 108
MonotonicityNot monotonic
2024-03-14T01:32:55.792369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20230912 3
 
7.9%
20230904 2
 
5.3%
20230921 2
 
5.3%
20230130 1
 
2.6%
20230914 1
 
2.6%
20230512 1
 
2.6%
20221012 1
 
2.6%
20230919 1
 
2.6%
20230908 1
 
2.6%
20230922 1
 
2.6%
Other values (24) 24
63.2%
ValueCountFrequency (%)
20180107 1
2.6%
20180725 1
2.6%
20180821 1
2.6%
20181010 1
2.6%
20190322 1
2.6%
20200416 1
2.6%
20200629 1
2.6%
20200924 1
2.6%
20210401 1
2.6%
20220524 1
2.6%
ValueCountFrequency (%)
20230927 1
 
2.6%
20230926 1
 
2.6%
20230922 1
 
2.6%
20230921 2
5.3%
20230919 1
 
2.6%
20230918 1
 
2.6%
20230914 1
 
2.6%
20230913 1
 
2.6%
20230912 3
7.9%
20230911 1
 
2.6%

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%
2024-03-14T01:32:55.879013image/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%
Mean20218598
Minimum20170906
Maximum20230929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:55.956112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170906
5-th percentile20190391
Q120210987
median20220918
Q320230823
95-th percentile20230926
Maximum20230929
Range60023
Interquartile range (IQR)19836

Descriptive statistics

Standard deviation15045.244
Coefficient of variation (CV)0.00074412895
Kurtosis2.7743538
Mean20218598
Median Absolute Deviation (MAD)9906
Skewness-1.6498471
Sum5.6612074 × 108
Variance2.2635936 × 108
MonotonicityNot monotonic
2024-03-14T01:32:56.052475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20230904 2
 
5.3%
20230926 2
 
5.3%
20200629 1
 
2.6%
20210705 1
 
2.6%
20230822 1
 
2.6%
20230929 1
 
2.6%
20220817 1
 
2.6%
20220419 1
 
2.6%
20220913 1
 
2.6%
20220721 1
 
2.6%
Other values (16) 16
42.1%
(Missing) 10
26.3%
ValueCountFrequency (%)
20170906 1
2.6%
20190329 1
2.6%
20190507 1
2.6%
20200629 1
2.6%
20210401 1
2.6%
20210705 1
2.6%
20210913 1
2.6%
20211012 1
2.6%
20220207 1
2.6%
20220303 1
2.6%
ValueCountFrequency (%)
20230929 1
2.6%
20230926 2
5.3%
20230914 1
2.6%
20230904 2
5.3%
20230824 1
2.6%
20230823 1
2.6%
20230822 1
2.6%
20230510 1
2.6%
20230323 1
2.6%
20221118 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 row적합
4th row적합
5th row-

Common Values

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

Length

2024-03-14T01:32:56.156363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:32:56.231766image/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%
2024-03-14T01:32:56.293303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.815789
Minimum4
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:56.364082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.85
Q111.5
median16.5
Q324.5
95-th percentile40.3
Maximum48
Range44
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.178781
Coefficient of variation (CV)0.56413504
Kurtosis-0.055701094
Mean19.815789
Median Absolute Deviation (MAD)6.5
Skewness0.74642931
Sum753
Variance124.96515
MonotonicityNot monotonic
2024-03-14T01:32:56.449364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 6
 
15.8%
8 3
 
7.9%
23 2
 
5.3%
32 2
 
5.3%
21 2
 
5.3%
11 2
 
5.3%
20 2
 
5.3%
4 2
 
5.3%
40 1
 
2.6%
10 1
 
2.6%
Other values (15) 15
39.5%
ValueCountFrequency (%)
4 2
 
5.3%
5 1
 
2.6%
7 1
 
2.6%
8 3
7.9%
10 1
 
2.6%
11 2
 
5.3%
13 1
 
2.6%
14 1
 
2.6%
15 1
 
2.6%
16 6
15.8%
ValueCountFrequency (%)
48 1
2.6%
42 1
2.6%
40 1
2.6%
38 1
2.6%
36 1
2.6%
32 2
5.3%
31 1
2.6%
30 1
2.6%
25 1
2.6%
23 2
5.3%

CCTV 건물 안 설치수
Real number (ℝ)

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.315789
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:56.531856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.85
Q16
median11.5
Q318.75
95-th percentile29.3
Maximum35
Range33
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation9.2855752
Coefficient of variation (CV)0.69733568
Kurtosis-0.49155376
Mean13.315789
Median Absolute Deviation (MAD)6
Skewness0.79534734
Sum506
Variance86.221906
MonotonicityNot monotonic
2024-03-14T01:32:56.620494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7 5
 
13.2%
4 3
 
7.9%
6 3
 
7.9%
27 2
 
5.3%
28 2
 
5.3%
12 2
 
5.3%
13 2
 
5.3%
14 2
 
5.3%
16 2
 
5.3%
2 2
 
5.3%
Other values (11) 13
34.2%
ValueCountFrequency (%)
2 2
 
5.3%
3 1
 
2.6%
4 3
7.9%
5 2
 
5.3%
6 3
7.9%
7 5
13.2%
9 1
 
2.6%
10 1
 
2.6%
11 1
 
2.6%
12 2
 
5.3%
ValueCountFrequency (%)
35 1
2.6%
31 1
2.6%
29 1
2.6%
28 2
5.3%
27 2
5.3%
23 1
2.6%
19 2
5.3%
18 1
2.6%
16 2
5.3%
14 2
5.3%

CCTV 건물 밖 설치수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)45.9%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean6.6756757
Minimum0
Maximum21
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:56.718980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q310
95-th percentile17.6
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.622643
Coefficient of variation (CV)0.84225826
Kurtosis0.33775088
Mean6.6756757
Median Absolute Deviation (MAD)3
Skewness1.0088112
Sum247
Variance31.614114
MonotonicityNot monotonic
2024-03-14T01:32:56.804606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 8
21.1%
7 5
13.2%
0 4
10.5%
3 3
 
7.9%
1 2
 
5.3%
11 2
 
5.3%
15 2
 
5.3%
2 2
 
5.3%
12 1
 
2.6%
5 1
 
2.6%
Other values (7) 7
18.4%
ValueCountFrequency (%)
0 4
10.5%
1 2
 
5.3%
2 2
 
5.3%
3 3
 
7.9%
4 8
21.1%
5 1
 
2.6%
6 1
 
2.6%
7 5
13.2%
9 1
 
2.6%
10 1
 
2.6%
ValueCountFrequency (%)
21 1
 
2.6%
20 1
 
2.6%
17 1
 
2.6%
15 2
 
5.3%
13 1
 
2.6%
12 1
 
2.6%
11 2
 
5.3%
10 1
 
2.6%
9 1
 
2.6%
7 5
13.2%

공시차수
Real number (ℝ)

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.211
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:32:56.881004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120222
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.910189
Coefficient of variation (CV)0.0008362186
Kurtosis0.77577925
Mean20222.211
Median Absolute Deviation (MAD)0
Skewness-1.5032852
Sum768444
Variance285.95448
MonotonicityNot monotonic
2024-03-14T01:32:56.958708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20202 3
 
7.9%
20182 3
 
7.9%
20211 1
 
2.6%
20191 1
 
2.6%
20192 1
 
2.6%
ValueCountFrequency (%)
20182 3
 
7.9%
20191 1
 
2.6%
20192 1
 
2.6%
20202 3
 
7.9%
20211 1
 
2.6%
20222 3
 
7.9%
20232 26
68.4%
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20211 1
 
2.6%
20202 3
 
7.9%
20192 1
 
2.6%
20191 1
 
2.6%
20182 3
 
7.9%

주소
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:32:57.144565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length18.789474
Min length16

Characters and Unicode

Total characters714
Distinct characters57
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

Unique34 ?
Unique (%)89.5%

Sample

1st row서울특별시 동작구 서달로 115
2nd row서울특별시 동작구 현충로 151
3rd row서울특별시 동작구 만양로3길 48
4th row서울특별시 동작구 사당로 143
5th row서울특별시 동작구 사당로28길 34
ValueCountFrequency (%)
서울특별시 38
25.0%
동작구 38
25.0%
15 3
 
2.0%
서달로 2
 
1.3%
115 2
 
1.3%
만양로3길 2
 
1.3%
48 2
 
1.3%
현충로 2
 
1.3%
사당로 2
 
1.3%
여의대방로 2
 
1.3%
Other values (58) 59
38.8%
2024-03-14T01:32:57.476838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.0%
서 40
 
5.6%
동 40
 
5.6%
작 40
 
5.6%
시 39
 
5.5%
울 38
 
5.3%
구 38
 
5.3%
별 38
 
5.3%
특 38
 
5.3%
로 36
 
5.0%
Other values (47) 253
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
65.3%
Decimal Number 128
 
17.9%
Space Separator 114
 
16.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Decimal Number
ValueCountFrequency (%)
1 25
19.5%
4 21
16.4%
2 18
14.1%
5 14
10.9%
6 13
10.2%
3 13
10.2%
7 7
 
5.5%
0 7
 
5.5%
8 5
 
3.9%
9 5
 
3.9%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
65.3%
Common 248
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Common
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
65.3%
ASCII 248
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-efbf-b044-e053-0a32095ab044서울은로초등학교병설유치원공립(병설)Y20220905Y20220427Y20220929Y20220920Y20220207적합Y40271320222서울특별시 동작구 서달로 115
1서울특별시교육청동작관악교육지원청1ecec08c-efc2-b044-e053-0a32095ab044예림유치원사립(사인)Y20220825Y20220930Y20220919Y20220524Y20210913적합Y86220222서울특별시 동작구 현충로 151
2서울특별시교육청동작관악교육지원청1ecec08c-f1a0-b044-e053-0a32095ab044서울상도유치원공립(단설)Y20230905Y20230831Y20230906Y20230912Y20230824적합Y3023720232서울특별시 동작구 만양로3길 48
3서울특별시교육청동작관악교육지원청1ecec08c-f1ad-b044-e053-0a32095ab044총신대부속유치원사립(법인)Y20230913Y20230523Y20230925Y20230717Y20221108적합Y3627920232서울특별시 동작구 사당로 143
4서울특별시교육청동작관악교육지원청1ecec08c-f3eb-b044-e053-0a32095ab044동그라미유치원사립(사인)Y20230904Y20230406Y20221129Y20230406N<NA>-Y2319420232서울특별시 동작구 사당로28길 34
5서울특별시교육청동작관악교육지원청1ecec08c-f3fb-b044-e053-0a32095ab044은혜유치원사립(사인)Y20210401Y20210401Y20210401Y20210401Y20210401적합Y55020211서울특별시 동작구 성대로6가길 29
6서울특별시교육청동작관악교육지원청1ecec08c-f56c-b044-e053-0a32095ab044서울문창초등학교병설유치원공립(병설)Y20230914Y20230907Y20230517Y20230615Y20230323적합Y2322120232서울특별시 동작구 신대방2길 14
7서울특별시교육청동작관악교육지원청1ecec08c-f6f1-b044-e053-0a32095ab044행복유치원사립(법인)Y20230829Y20230918Y20230414Y20230927Y20220303적합Y4235720232서울특별시 동작구 양녕로23길 25
8서울특별시교육청동작관악교육지원청1ecec08c-f8ac-b044-e053-0a32095ab044양문유치원사립(사인)Y20230629Y20230303Y20230828Y20230918Y20220923적합Y169720232서울특별시 동작구 시흥대로 644-1
9서울특별시교육청동작관악교육지원청1ecec08c-f940-b044-e053-0a32095ab044샛별유치원사립(법인)Y20230921Y20230927Y20230919Y20230904Y20211012적합Y3228420232서울특별시 동작구 상도로50길 36-1
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
28서울특별시교육청동작관악교육지원청1ecec08d-0bb2-b044-e053-0a32095ab044중앙대부속유치원사립(법인)Y20230925Y20230116Y20230905Y20230908Y20220721적합Y48282020232서울특별시 동작구 흑석로 47
29서울특별시교육청동작관악교육지원청1ecec08d-0d67-b044-e053-0a32095ab044명수유치원사립(법인)Y20230719Y20230925Y20230908Y20230922Y20220913적합Y116520232서울특별시 동작구 흑석로13길 3
30서울특별시교육청동작관악교육지원청1ecec08d-0e1f-b044-e053-0a32095ab044송림유치원사립(법인)Y20230912Y20220801Y20230227Y20230130Y20220419적합Y1814420232서울특별시 동작구 사당로2다길 95
31서울특별시교육청동작관악교육지원청1fc6dd86-cccc-d1d2-e053-0a32095ad1d2행복한숲유치원사립(사인)Y20230922Y20230713Y20230908Y20221025Y20220817적합Y1413120232서울특별시 동작구 만양로 26
32서울특별시교육청동작관악교육지원청3f6c4638-fa48-42ee-b862-cdcbdee6eef0서울노량진초등학교병설유치원공립(병설)Y20230424X<NA>Y20230904Y20230911Y20230904적합Y1531220232서울특별시 동작구 장승배기로 160
33서울특별시교육청동작관악교육지원청6cc39611-cfc5-4d3e-bc54-ff88d1afcf01모아유치원사립(사인)Y20180912Y20180618Y20180810Y20181010N<NA>-Y84420182서울특별시 동작구 동작대로27길 62
34서울특별시교육청동작관악교육지원청6f1822d8-a14e-4236-a707-fd9af1e88aec시현유치원사립(사인)Y20230925Y20230922Y20230906Y20230913Y20230929적합Y1612420232서울특별시 동작구 만양로8길 50
35서울특별시교육청동작관악교육지원청89e2307e-5deb-45c1-84c3-670f209825f3서울행림초등학교병설유치원공립(병설)Y20230919Y20230904Y20230914Y20230912Y20230822적합Y2161520232서울특별시 동작구 솔밭로 47
36서울특별시교육청동작관악교육지원청8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73서울은로유치원공립(단설)Y20230908N<NA>Y20230925Y20230901Y20230926적합Y22111120232서울특별시 동작구 서달로 115
37서울특별시교육청동작관악교육지원청afaeef71-68b6-4a13-acd4-cb8285459fb9서울본동초등학교병설유치원공립(병설)Y20220610Y20211201Y20220816Y20220823Y20210705적합Y1721520222서울특별시 동작구 노량진로26길 16-40