Overview

Dataset statistics

Number of variables22
Number of observations60
Missing cells26
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory187.2 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20827/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
소방대피훈련여부 is highly imbalanced (78.9%)Imbalance
가스점검여부 is highly imbalanced (79.0%)Imbalance
소방안전점검여부 is highly imbalanced (87.8%)Imbalance
소방대피훈련일자 has 2 (3.3%) missing valuesMissing
가스점검일자 has 3 (5.0%) missing valuesMissing
소방안전점검일자 has 1 (1.7%) missing valuesMissing
놀이시설 안전검사 점검일자 has 19 (31.7%) missing valuesMissing
CCTV 건물 밖 설치수 has 1 (1.7%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 안 설치수 has 2 (3.3%) zerosZeros
CCTV 건물 밖 설치수 has 6 (10.0%) zerosZeros

Reproduction

Analysis started2024-03-13 11:11:38.416769
Analysis finished2024-03-13 11:11:38.760376
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
서울특별시교육청
60 

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 60
100.0%

Length

2024-03-13T20:11:38.814217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:38.894877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 60
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
강동송파교육지원청
60 

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 60
100.0%

Length

2024-03-13T20:11:38.986748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:39.082187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

유치원코드
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:11:39.263961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2160
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

Unique60 ?
Unique (%)100.0%

Sample

1st row009c017d-43bd-4d9f-ac64-d217abdd570e
2nd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
3rd row0f7d2827-8bb2-4a0c-9926-77fca1f60a54
4th row1ecec08c-ed94-b044-e053-0a32095ab044
5th row1ecec08c-eee8-b044-e053-0a32095ab044
ValueCountFrequency (%)
009c017d-43bd-4d9f-ac64-d217abdd570e 1
 
1.7%
04a021da-cdd7-4e7e-a434-2b388c2f6b63 1
 
1.7%
1ecec08d-0a0f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0381-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0408-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-04b9-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-059a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06af-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06b0-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T20:11:39.626249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
56.5%
Lowercase Letter 700
32.4%
Dash Punctuation 240
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
28.5%
4 238
19.5%
3 124
 
10.2%
5 122
 
10.0%
2 89
 
7.3%
8 88
 
7.2%
1 75
 
6.1%
9 71
 
5.8%
7 37
 
3.0%
6 28
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1460
67.6%
Latin 700
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
23.8%
- 240
16.4%
4 238
16.3%
3 124
 
8.5%
5 122
 
8.4%
2 89
 
6.1%
8 88
 
6.0%
1 75
 
5.1%
9 71
 
4.9%
7 37
 
2.5%
Latin
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

유치원명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:11:39.864798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.85
Min length5

Characters and Unicode

Total characters471
Distinct characters102
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

Unique60 ?
Unique (%)100.0%

Sample

1st row서울솔방울유치원
2nd row란키즈유치원
3rd row서울송파위례유치원
4th row꿀벌유치원
5th row서울신천초등학교병설유치원
ValueCountFrequency (%)
서울솔방울유치원 1
 
1.7%
란키즈유치원 1
 
1.7%
서울잠신초등학교병설유치원 1
 
1.7%
불광유치원 1
 
1.7%
리아유치원 1
 
1.7%
서울거여초등학교병설유치원 1
 
1.7%
리틀바움유치원 1
 
1.7%
혜림유치원 1
 
1.7%
푸른꿈유치원 1
 
1.7%
동화나라유치원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T20:11:40.227419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

설립유형
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
사립(사인)
36 
공립(병설)
15 
공립(단설)
5 
사립(법인)
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 36
60.0%
공립(병설) 15
25.0%
공립(단설) 5
 
8.3%
사립(법인) 4
 
6.7%

Length

2024-03-13T20:11:40.392545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:40.519109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 36
60.0%
공립(병설 15
25.0%
공립(단설 5
 
8.3%
사립(법인 4
 
6.7%

소방대피훈련여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
58 
False
 
2
ValueCountFrequency (%)
True 58
96.7%
False 2
 
3.3%
2024-03-13T20:11:40.638086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)74.1%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean20222553
Minimum20180706
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:40.796704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180706
5-th percentile20180913
Q120230422
median20230824
Q320230907
95-th percentile20230925
Maximum20230927
Range50221
Interquartile range (IQR)485.5

Descriptive statistics

Standard deviation16415.233
Coefficient of variation (CV)0.00081172905
Kurtosis1.5159965
Mean20222553
Median Absolute Deviation (MAD)101.5
Skewness-1.734111
Sum1.172908 × 109
Variance2.6945989 × 108
MonotonicityNot monotonic
2024-03-13T20:11:41.005537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20230904 6
 
10.0%
20230922 3
 
5.0%
20230905 2
 
3.3%
20230925 2
 
3.3%
20210930 2
 
3.3%
20230907 2
 
3.3%
20230616 2
 
3.3%
20230710 2
 
3.3%
20230914 2
 
3.3%
20230830 2
 
3.3%
Other values (33) 33
55.0%
(Missing) 2
 
3.3%
ValueCountFrequency (%)
20180706 1
1.7%
20180831 1
1.7%
20180911 1
1.7%
20180913 1
1.7%
20181002 1
1.7%
20190829 1
1.7%
20200914 1
1.7%
20200922 1
1.7%
20200923 1
1.7%
20201012 1
1.7%
ValueCountFrequency (%)
20230927 1
 
1.7%
20230926 1
 
1.7%
20230925 2
3.3%
20230923 1
 
1.7%
20230922 3
5.0%
20230919 1
 
1.7%
20230915 1
 
1.7%
20230914 2
3.3%
20230911 1
 
1.7%
20230908 1
 
1.7%

가스점검여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Y
57 
X
 
2
<NA>
 
1

Length

Max length4
Median length1
Mean length1.05
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
Y 57
95.0%
X 2
 
3.3%
<NA> 1
 
1.7%

Length

2024-03-13T20:11:41.152146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:41.254447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 57
95.0%
x 2
 
3.3%
na 1
 
1.7%

가스점검일자
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)86.0%
Missing3
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean20222377
Minimum20180117
Maximum20230927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:41.358376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180117
5-th percentile20180799
Q120230105
median20230424
Q320230904
95-th percentile20230920
Maximum20230927
Range50810
Interquartile range (IQR)799

Descriptive statistics

Standard deviation16405.051
Coefficient of variation (CV)0.00081123261
Kurtosis1.6944602
Mean20222377
Median Absolute Deviation (MAD)480
Skewness-1.7888982
Sum1.1526755 × 109
Variance2.6912571 × 108
MonotonicityNot monotonic
2024-03-13T20:11:41.829152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20230904 8
 
13.3%
20230518 2
 
3.3%
20230911 1
 
1.7%
20230721 1
 
1.7%
20230612 1
 
1.7%
20230919 1
 
1.7%
20200818 1
 
1.7%
20180118 1
 
1.7%
20230417 1
 
1.7%
20230828 1
 
1.7%
Other values (39) 39
65.0%
(Missing) 3
 
5.0%
ValueCountFrequency (%)
20180117 1
1.7%
20180118 1
1.7%
20180727 1
1.7%
20180817 1
1.7%
20180821 1
1.7%
20190403 1
1.7%
20200107 1
1.7%
20200209 1
1.7%
20200818 1
1.7%
20201016 1
1.7%
ValueCountFrequency (%)
20230927 1
 
1.7%
20230925 1
 
1.7%
20230922 1
 
1.7%
20230919 1
 
1.7%
20230911 1
 
1.7%
20230908 1
 
1.7%
20230907 1
 
1.7%
20230904 8
13.3%
20230831 1
 
1.7%
20230828 1
 
1.7%

소방안전점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
59 
False
 
1
ValueCountFrequency (%)
True 59
98.3%
False 1
 
1.7%
2024-03-13T20:11:41.949967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)84.7%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean20221935
Minimum20160916
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:42.050487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160916
5-th percentile20180717
Q120230214
median20230727
Q320230904
95-th percentile20230921
Maximum20230925
Range70009
Interquartile range (IQR)689.5

Descriptive statistics

Standard deviation17897.265
Coefficient of variation (CV)0.00088504216
Kurtosis2.3918159
Mean20221935
Median Absolute Deviation (MAD)186
Skewness-1.8802627
Sum1.1930941 × 109
Variance3.2031208 × 108
MonotonicityNot monotonic
2024-03-13T20:11:42.210767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230904 5
 
8.3%
20230802 2
 
3.3%
20230921 2
 
3.3%
20230911 2
 
3.3%
20230609 2
 
3.3%
20230906 2
 
3.3%
20210908 1
 
1.7%
20230818 1
 
1.7%
20201005 1
 
1.7%
20230620 1
 
1.7%
Other values (40) 40
66.7%
ValueCountFrequency (%)
20160916 1
1.7%
20180316 1
1.7%
20180625 1
1.7%
20180727 1
1.7%
20180831 1
1.7%
20181002 1
1.7%
20200512 1
1.7%
20200605 1
1.7%
20200928 1
1.7%
20201005 1
1.7%
ValueCountFrequency (%)
20230925 1
1.7%
20230922 1
1.7%
20230921 2
3.3%
20230920 1
1.7%
20230918 1
1.7%
20230914 1
1.7%
20230913 1
1.7%
20230912 1
1.7%
20230911 2
3.3%
20230908 1
1.7%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
60 
ValueCountFrequency (%)
True 60
100.0%
2024-03-13T20:11:42.314341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct46
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220722
Minimum20180502
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:42.410930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180502
5-th percentile20180721
Q120217952
median20230416
Q320230904
95-th percentile20230919
Maximum20230926
Range50424
Interquartile range (IQR)12952.25

Descriptive statistics

Standard deviation16586.835
Coefficient of variation (CV)0.00082028894
Kurtosis0.66213237
Mean20220722
Median Absolute Deviation (MAD)494
Skewness-1.437627
Sum1.2132433 × 109
Variance2.7512309 × 108
MonotonicityNot monotonic
2024-03-13T20:11:42.532442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20230904 4
 
6.7%
20230918 3
 
5.0%
20230320 2
 
3.3%
20230908 2
 
3.3%
20230303 2
 
3.3%
20230912 2
 
3.3%
20230322 2
 
3.3%
20230828 2
 
3.3%
20201021 2
 
3.3%
20230803 2
 
3.3%
Other values (36) 37
61.7%
ValueCountFrequency (%)
20180502 1
1.7%
20180509 1
1.7%
20180615 1
1.7%
20180727 1
1.7%
20180906 1
1.7%
20190412 1
1.7%
20200117 1
1.7%
20200312 1
1.7%
20200605 1
1.7%
20201015 1
1.7%
ValueCountFrequency (%)
20230926 1
 
1.7%
20230922 1
 
1.7%
20230920 1
 
1.7%
20230919 1
 
1.7%
20230918 3
5.0%
20230914 1
 
1.7%
20230912 2
3.3%
20230908 2
3.3%
20230906 1
 
1.7%
20230905 2
3.3%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
41 
False
19 
ValueCountFrequency (%)
True 41
68.3%
False 19
31.7%
2024-03-13T20:11:42.631112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing19
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean20220529
Minimum20170818
Maximum20230919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:42.725615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170818
5-th percentile20191209
Q120220422
median20221130
Q320230802
95-th percentile20230904
Maximum20230919
Range60101
Interquartile range (IQR)10380

Descriptive statistics

Standard deviation14315.749
Coefficient of variation (CV)0.00070798096
Kurtosis3.646666
Mean20220529
Median Absolute Deviation (MAD)9573
Skewness-1.9210486
Sum8.2904168 × 108
Variance2.0494068 × 108
MonotonicityNot monotonic
2024-03-13T20:11:42.850168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20230904 4
 
6.7%
20230828 1
 
1.7%
20230209 1
 
1.7%
20200508 1
 
1.7%
20230703 1
 
1.7%
20220718 1
 
1.7%
20220602 1
 
1.7%
20230516 1
 
1.7%
20201012 1
 
1.7%
20230817 1
 
1.7%
Other values (28) 28
46.7%
(Missing) 19
31.7%
ValueCountFrequency (%)
20170818 1
1.7%
20181004 1
1.7%
20191209 1
1.7%
20200508 1
1.7%
20201012 1
1.7%
20201016 1
1.7%
20211019 1
1.7%
20211110 1
1.7%
20220113 1
1.7%
20220203 1
1.7%
ValueCountFrequency (%)
20230919 1
 
1.7%
20230914 1
 
1.7%
20230904 4
6.7%
20230828 1
 
1.7%
20230825 1
 
1.7%
20230824 1
 
1.7%
20230817 1
 
1.7%
20230802 1
 
1.7%
20230714 1
 
1.7%
20230703 1
 
1.7%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
적합
41 
-
19 

Length

Max length2
Median length2
Mean length1.6833333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 41
68.3%
- 19
31.7%

Length

2024-03-13T20:11:43.010304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:43.141734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 41
68.3%
19
31.7%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
60 
ValueCountFrequency (%)
True 60
100.0%
2024-03-13T20:11:43.231214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct25
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.083333
Minimum2
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:43.323523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.95
Q18
median16
Q321
95-th percentile35
Maximum38
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.1896989
Coefficient of variation (CV)0.57138024
Kurtosis-0.16911894
Mean16.083333
Median Absolute Deviation (MAD)8
Skewness0.72538982
Sum965
Variance84.450565
MonotonicityNot monotonic
2024-03-13T20:11:43.446976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 9
15.0%
8 6
 
10.0%
13 5
 
8.3%
6 4
 
6.7%
24 4
 
6.7%
17 3
 
5.0%
7 3
 
5.0%
12 3
 
5.0%
21 2
 
3.3%
27 2
 
3.3%
Other values (15) 19
31.7%
ValueCountFrequency (%)
2 2
 
3.3%
4 1
 
1.7%
5 1
 
1.7%
6 4
6.7%
7 3
5.0%
8 6
10.0%
9 2
 
3.3%
12 3
5.0%
13 5
8.3%
14 1
 
1.7%
ValueCountFrequency (%)
38 1
 
1.7%
36 1
 
1.7%
35 2
3.3%
34 1
 
1.7%
32 2
3.3%
27 2
3.3%
25 1
 
1.7%
24 4
6.7%
21 2
3.3%
20 1
 
1.7%

CCTV 건물 안 설치수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.35
Minimum0
Maximum32
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:43.555422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median8
Q314
95-th percentile25
Maximum32
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.6064758
Coefficient of variation (CV)0.7349252
Kurtosis0.57858545
Mean10.35
Median Absolute Deviation (MAD)4
Skewness1.0373612
Sum621
Variance57.858475
MonotonicityNot monotonic
2024-03-13T20:11:43.658820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 6
 
10.0%
6 5
 
8.3%
10 5
 
8.3%
7 4
 
6.7%
3 4
 
6.7%
2 4
 
6.7%
8 4
 
6.7%
12 3
 
5.0%
22 3
 
5.0%
16 3
 
5.0%
Other values (12) 19
31.7%
ValueCountFrequency (%)
0 2
 
3.3%
2 4
6.7%
3 4
6.7%
4 6
10.0%
5 2
 
3.3%
6 5
8.3%
7 4
6.7%
8 4
6.7%
9 1
 
1.7%
10 5
8.3%
ValueCountFrequency (%)
32 1
 
1.7%
31 1
 
1.7%
25 2
3.3%
24 1
 
1.7%
22 3
5.0%
19 2
3.3%
16 3
5.0%
15 1
 
1.7%
14 2
3.3%
13 3
5.0%

CCTV 건물 밖 설치수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)30.5%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean5.8305085
Minimum0
Maximum24
Zeros6
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T20:11:43.759653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile18.3
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.0205182
Coefficient of variation (CV)1.0325889
Kurtosis1.3970531
Mean5.8305085
Median Absolute Deviation (MAD)3
Skewness1.4423762
Sum344
Variance36.246639
MonotonicityNot monotonic
2024-03-13T20:11:43.909435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 9
15.0%
4 9
15.0%
1 8
13.3%
0 6
10.0%
8 4
 
6.7%
3 4
 
6.7%
6 3
 
5.0%
14 2
 
3.3%
18 2
 
3.3%
7 2
 
3.3%
Other values (8) 10
16.7%
ValueCountFrequency (%)
0 6
10.0%
1 8
13.3%
2 9
15.0%
3 4
6.7%
4 9
15.0%
5 1
 
1.7%
6 3
 
5.0%
7 2
 
3.3%
8 4
6.7%
9 2
 
3.3%
ValueCountFrequency (%)
24 1
 
1.7%
22 1
 
1.7%
21 1
 
1.7%
18 2
3.3%
16 1
 
1.7%
14 2
3.3%
13 2
3.3%
10 1
 
1.7%
9 2
3.3%
8 4
6.7%

공시차수
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
20232
46 
20202
6 
20182
5 
20212
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
76.7%
20202 6
 
10.0%
20182 5
 
8.3%
20212 2
 
3.3%
20192 1
 
1.7%

Length

2024-03-13T20:11:44.044025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:11:44.144952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
76.7%
20202 6
 
10.0%
20182 5
 
8.3%
20212 2
 
3.3%
20192 1
 
1.7%

주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:11:44.370309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.916667
Min length16

Characters and Unicode

Total characters1135
Distinct characters68
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

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 송파구 오금로24길 25
2nd row서울특별시 송파구 새말로8길 22-5
3rd row서울특별시 송파구 위례송파로 121
4th row서울특별시 송파구 양산로8길 8
5th row서울특별시 송파구 올림픽로 215
ValueCountFrequency (%)
서울특별시 60
25.0%
송파구 60
25.0%
올림픽로 5
 
2.1%
20 3
 
1.2%
양재대로 3
 
1.2%
위례순환로 3
 
1.2%
17 3
 
1.2%
양산로2길 2
 
0.8%
올림픽로4길 2
 
0.8%
32 2
 
0.8%
Other values (87) 97
40.4%
2024-03-13T20:11:44.763167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
15.9%
송 66
 
5.8%
파 66
 
5.8%
서 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
시 60
 
5.3%
구 60
 
5.3%
울 60
 
5.3%
Other values (58) 403
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
65.7%
Decimal Number 204
 
18.0%
Space Separator 180
 
15.9%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Decimal Number
ValueCountFrequency (%)
2 39
19.1%
1 38
18.6%
3 26
12.7%
4 23
11.3%
5 18
8.8%
7 15
 
7.4%
8 14
 
6.9%
6 13
 
6.4%
0 10
 
4.9%
9 8
 
3.9%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
65.7%
Common 389
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Common
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
65.7%
ASCII 389
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%
Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)Y20230908Y20230304Y20230307Y20230309Y20230427적합Y2014620232서울특별시 송파구 오금로24길 25
1서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)Y20230925Y20230309Y20230303Y20230215Y20230328적합Y128420232서울특별시 송파구 새말로8길 22-5
2서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)Y20230710Y20230214Y20230807Y20230905N<NA>-Y66020232서울특별시 송파구 위례송파로 121
3서울특별시교육청강동송파교육지원청1ecec08c-ed94-b044-e053-0a32095ab044꿀벌유치원사립(사인)Y20230914Y20230120Y20230817Y20230803N<NA>-Y86220232서울특별시 송파구 양산로8길 8
4서울특별시교육청강동송파교육지원청1ecec08c-eee8-b044-e053-0a32095ab044서울신천초등학교병설유치원공립(병설)Y20230404Y20230822Y20230404Y20230811Y20220513적합Y1741320232서울특별시 송파구 올림픽로 215
5서울특별시교육청강동송파교육지원청1ecec08c-eeec-b044-e053-0a32095ab044장미유치원사립(법인)Y20230925Y20230927Y20230829Y20230906N<NA>-Y98120232서울특별시 송파구 올림픽로35길 118
6서울특별시교육청강동송파교육지원청1ecec08c-f04f-b044-e053-0a32095ab044새움유치원사립(사인)Y20180911Y20180821Y20180831Y20180509N<NA>-Y73420182서울특별시 송파구 중대로27길 2
7서울특별시교육청강동송파교육지원청1ecec08c-f209-b044-e053-0a32095ab044우일유치원사립(사인)Y20230919Y20230424Y20230714Y20220930Y20230824적합Y2524120232서울특별시 송파구 토성로 38-6
8서울특별시교육청강동송파교육지원청1ecec08c-f20a-b044-e053-0a32095ab044석촌유치원사립(사인)Y20230830Y20230201Y20230327Y20230322Y20220113적합Y1911820232서울특별시 송파구 백제고분로40길 20
9서울특별시교육청강동송파교육지원청1ecec08c-f28a-b044-e053-0a32095ab044샛별유치원사립(사인)Y20180706Y20180727Y20180727Y20180727N<NA>-Y86220182서울특별시 송파구 중대로9길 53-27
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
50서울특별시교육청강동송파교육지원청1ecec08d-0f6c-b044-e053-0a32095ab044수정유치원사립(사인)Y20230904Y20221124Y20230906Y20230908N<NA>-Y1614220232서울특별시 송파구 위례성대로 28
51서울특별시교육청강동송파교육지원청1fd6777e-14fd-e0b0-e053-0a32095ae0b0위례우일유치원사립(사인)Y20230901Y20230925Y20230614Y20220527Y20221130적합Y2725220232서울특별시 송파구 성내천로47길 38-1
52서울특별시교육청강동송파교육지원청2ab4825b-780b-4443-b195-77d1c3851b7d서울아주초등학교병설유치원공립(병설)Y20230922Y20230904Y20230904Y20230904Y20221123적합Y22020232서울특별시 송파구 올림픽로4길 59
53서울특별시교육청강동송파교육지원청4954e1f2-8d93-4db0-a8de-fcabfa4d6a0c서울거원초등학교병설유치원공립(병설)Y20230907Y20230616Y20230920Y20230918Y20221017적합Y64220232서울특별시 송파구 양산로2길 26
54서울특별시교육청강동송파교육지원청7f130073-a125-4e1f-ac7a-0d743c58822b서울영풍초등학교병설유치원공립(병설)Y20230904Y20230703Y20230918Y20230908Y20230330적합Y74320232서울특별시 송파구 오금로57길 15
55서울특별시교육청강동송파교육지원청7f2f03dd-4d3c-4cbc-bfd3-f88b47041426서울위례솔초등학교병설유치원공립(병설)Y20230906Y20230331Y20230126Y20230303Y20221202적합Y1771020232서울특별시 송파구 위례북로2길 12
56서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)Y20230616Y20230217Y20230830Y20230905N<NA>-Y62420232서울특별시 송파구 위례순환로 477
57서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)Y20230904Y20230824Y20230921Y20230825N<NA>-Y1612420232서울특별시 송파구 삼학사로19길 20
58서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)Y20230927Y20230215Y20230921Y20230828Y20230209적합Y1612420232서울특별시 송파구 위례순환로 371
59서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)N<NA>Y20230131Y20230908Y20230920Y20230828적합Y2131820232서울특별시 송파구 백제고분로 400