Overview

Dataset statistics

Number of variables22
Number of observations53
Missing cells21
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory187.5 B

Variable types

Categorical6
Text3
Boolean5
Numeric8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,소방대피훈련여부,소방대피훈련일자,가스점검여부,가스점검일자,소방안전점검여부,소방안전점검일자,전기설비점검여부,전기설비점검일자,놀이시설 안전검사 대상여부,놀이시설 안전검사 점검일자,놀이시설 안전검사 점검결과,CCTV 설치여부,CCTV 총 설치수,CCTV 건물 안 설치수,CCTV 건물 밖 설치수,공시차수,주소
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20811/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
소방대피훈련여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
가스점검여부 is highly imbalanced (76.9%)Imbalance
소방안전점검여부 is highly imbalanced (76.8%)Imbalance
전기설비점검여부 is highly imbalanced (86.5%)Imbalance
공시차수 is highly imbalanced (65.3%)Imbalance
가스점검일자 has 3 (5.7%) missing valuesMissing
소방안전점검일자 has 2 (3.8%) missing valuesMissing
전기설비점검일자 has 1 (1.9%) missing valuesMissing
놀이시설 안전검사 점검일자 has 15 (28.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 안 설치수 has 2 (3.8%) zerosZeros

Reproduction

Analysis started2024-03-13 07:57:29.923882
Analysis finished2024-03-13 07:57:30.155116
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-03-13T16:57:30.202696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:30.273200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

Length

2024-03-13T16:57:30.353686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:30.440674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T16:57:30.613971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ee4e-b044-e053-0a32095ab044
2nd row1ecec08c-ee4f-b044-e053-0a32095ab044
3rd row1ecec08c-ee50-b044-e053-0a32095ab044
4th row1ecec08c-ef05-b044-e053-0a32095ab044
5th row1ecec08c-ef38-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ee4e-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-02aa-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-062f-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T16:57:30.900701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T16:57:31.123738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row영광유치원
3rd row은영유치원
4th row두산효자유치원
5th row새싹유치원
ValueCountFrequency (%)
개동유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
한가람유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
루이유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T16:57:31.511304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

설립유형
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-03-13T16:57:31.636721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:31.723886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

소방대피훈련여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
53 
ValueCountFrequency (%)
True 53
100.0%
2024-03-13T16:57:31.800888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

Distinct36
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225481
Minimum20180813
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:31.881921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180813
5-th percentile20186563
Q120230522
median20230825
Q320230905
95-th percentile20230918
Maximum20230922
Range50109
Interquartile range (IQR)383

Descriptive statistics

Standard deviation14491.033
Coefficient of variation (CV)0.00071647409
Kurtosis4.8215981
Mean20225481
Median Absolute Deviation (MAD)93
Skewness-2.5395415
Sum1.0719505 × 109
Variance2.0999003 × 108
MonotonicityNot monotonic
2024-03-13T16:57:31.992829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20230904 7
 
13.2%
20230905 4
 
7.5%
20230830 3
 
5.7%
20230828 2
 
3.8%
20230602 2
 
3.8%
20230609 2
 
3.8%
20230907 2
 
3.8%
20230712 2
 
3.8%
20230918 2
 
3.8%
20230908 1
 
1.9%
Other values (26) 26
49.1%
ValueCountFrequency (%)
20180813 1
1.9%
20180831 1
1.9%
20180927 1
1.9%
20190321 1
1.9%
20190719 1
1.9%
20190903 1
1.9%
20220905 1
1.9%
20230331 1
1.9%
20230404 1
1.9%
20230410 1
1.9%
ValueCountFrequency (%)
20230922 1
 
1.9%
20230921 1
 
1.9%
20230918 2
 
3.8%
20230915 1
 
1.9%
20230912 1
 
1.9%
20230911 1
 
1.9%
20230908 1
 
1.9%
20230907 2
 
3.8%
20230905 4
7.5%
20230904 7
13.2%

가스점검여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
Y
50 
X
 
2
N
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
Y 50
94.3%
X 2
 
3.8%
N 1
 
1.9%

Length

2024-03-13T16:57:32.102634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:32.185155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 50
94.3%
x 2
 
3.8%
n 1
 
1.9%

가스점검일자
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)84.0%
Missing3
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean20224303
Minimum20170622
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:32.270707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170622
5-th percentile20185145
Q120230108
median20230619
Q320230883
95-th percentile20230919
Maximum20230926
Range60304
Interquartile range (IQR)775

Descriptive statistics

Standard deviation15306.209
Coefficient of variation (CV)0.00075682256
Kurtosis6.2574481
Mean20224303
Median Absolute Deviation (MAD)301.5
Skewness-2.6922963
Sum1.0112152 × 109
Variance2.3428003 × 108
MonotonicityNot monotonic
2024-03-13T16:57:32.664628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20230904 6
 
11.3%
20230210 2
 
3.8%
20230725 2
 
3.8%
20221221 2
 
3.8%
20221220 1
 
1.9%
20230104 1
 
1.9%
20230218 1
 
1.9%
20230301 1
 
1.9%
20230821 1
 
1.9%
20230825 1
 
1.9%
Other values (32) 32
60.4%
(Missing) 3
 
5.7%
ValueCountFrequency (%)
20170622 1
1.9%
20171204 1
1.9%
20180905 1
1.9%
20190328 1
1.9%
20190605 1
1.9%
20220621 1
1.9%
20220929 1
1.9%
20220930 1
1.9%
20221007 1
1.9%
20221220 1
1.9%
ValueCountFrequency (%)
20230926 1
 
1.9%
20230920 1
 
1.9%
20230919 1
 
1.9%
20230918 1
 
1.9%
20230908 1
 
1.9%
20230905 1
 
1.9%
20230904 6
11.3%
20230901 1
 
1.9%
20230829 1
 
1.9%
20230828 1
 
1.9%

소방안전점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
51 
False
 
2
ValueCountFrequency (%)
True 51
96.2%
False 2
 
3.8%
2024-03-13T16:57:32.757350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)70.6%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean20226464
Minimum20180817
Maximum20230918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:32.842729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180817
5-th percentile20185610
Q120230506
median20230818
Q320230905
95-th percentile20230912
Maximum20230918
Range50101
Interquartile range (IQR)399

Descriptive statistics

Standard deviation12994.191
Coefficient of variation (CV)0.00064243514
Kurtosis8.4237267
Mean20226464
Median Absolute Deviation (MAD)90
Skewness-3.1156993
Sum1.0315496 × 109
Variance1.68849 × 108
MonotonicityNot monotonic
2024-03-13T16:57:32.959637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20230905 8
 
15.1%
20230904 3
 
5.7%
20230908 2
 
3.8%
20230901 2
 
3.8%
20230912 2
 
3.8%
20230918 2
 
3.8%
20230817 2
 
3.8%
20230906 2
 
3.8%
20221214 1
 
1.9%
20230903 1
 
1.9%
Other values (26) 26
49.1%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
20180817 1
1.9%
20180905 1
1.9%
20180913 1
1.9%
20190308 1
1.9%
20220930 1
1.9%
20221104 1
1.9%
20221214 1
1.9%
20230109 1
1.9%
20230214 1
1.9%
20230301 1
1.9%
ValueCountFrequency (%)
20230918 2
 
3.8%
20230912 2
 
3.8%
20230908 2
 
3.8%
20230906 2
 
3.8%
20230905 8
15.1%
20230904 3
 
5.7%
20230903 1
 
1.9%
20230901 2
 
3.8%
20230829 1
 
1.9%
20230828 1
 
1.9%

전기설비점검여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
52 
False
 
1
ValueCountFrequency (%)
True 52
98.1%
False 1
 
1.9%
2024-03-13T16:57:33.055777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)76.9%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean20224581
Minimum20171002
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:33.137375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171002
5-th percentile20180870
Q120230319
median20230818
Q320230911
95-th percentile20230920
Maximum20230922
Range59920
Interquartile range (IQR)592

Descriptive statistics

Standard deviation15386.071
Coefficient of variation (CV)0.00076076093
Kurtosis5.1732112
Mean20224581
Median Absolute Deviation (MAD)101.5
Skewness-2.5375523
Sum1.0516782 × 109
Variance2.367312 × 108
MonotonicityNot monotonic
2024-03-13T16:57:33.247493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20230904 4
 
7.5%
20230919 4
 
7.5%
20230908 3
 
5.7%
20230920 2
 
3.8%
20230918 2
 
3.8%
20230328 2
 
3.8%
20230911 2
 
3.8%
20230828 1
 
1.9%
20230921 1
 
1.9%
20230323 1
 
1.9%
Other values (30) 30
56.6%
ValueCountFrequency (%)
20171002 1
1.9%
20180122 1
1.9%
20180830 1
1.9%
20180903 1
1.9%
20190129 1
1.9%
20200928 1
1.9%
20220428 1
1.9%
20220708 1
1.9%
20220919 1
1.9%
20220926 1
1.9%
ValueCountFrequency (%)
20230922 1
 
1.9%
20230921 1
 
1.9%
20230920 2
3.8%
20230919 4
7.5%
20230918 2
3.8%
20230915 1
 
1.9%
20230913 1
 
1.9%
20230911 2
3.8%
20230908 3
5.7%
20230907 1
 
1.9%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
38 
False
15 
ValueCountFrequency (%)
True 38
71.7%
False 15
 
28.3%
2024-03-13T16:57:33.339860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing15
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean20222234
Minimum20180419
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:33.427758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180419
5-th percentile20181044
Q120220608
median20230310
Q320230728
95-th percentile20230908
Maximum20230922
Range50503
Interquartile range (IQR)10120.5

Descriptive statistics

Standard deviation13665.083
Coefficient of variation (CV)0.00067574548
Kurtosis4.9934767
Mean20222234
Median Absolute Deviation (MAD)608
Skewness-2.2991068
Sum7.6844488 × 108
Variance1.867345 × 108
MonotonicityNot monotonic
2024-03-13T16:57:33.579623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20230801 2
 
3.8%
20220614 2
 
3.8%
20230623 1
 
1.9%
20220627 1
 
1.9%
20180618 1
 
1.9%
20220331 1
 
1.9%
20230904 1
 
1.9%
20220407 1
 
1.9%
20230720 1
 
1.9%
20220215 1
 
1.9%
Other values (26) 26
49.1%
(Missing) 15
28.3%
ValueCountFrequency (%)
20180419 1
1.9%
20180618 1
1.9%
20181119 1
1.9%
20210421 1
1.9%
20211001 1
1.9%
20220215 1
1.9%
20220218 1
1.9%
20220331 1
1.9%
20220407 1
1.9%
20220607 1
1.9%
ValueCountFrequency (%)
20230922 1
1.9%
20230914 1
1.9%
20230907 1
1.9%
20230905 1
1.9%
20230904 1
1.9%
20230901 1
1.9%
20230830 1
1.9%
20230801 2
3.8%
20230731 1
1.9%
20230720 1
1.9%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
적합
38 
-
15 

Length

Max length2
Median length2
Mean length1.7169811
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 38
71.7%
- 15
 
28.3%

Length

2024-03-13T16:57:33.745570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:33.822972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 38
71.7%
15
 
28.3%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
53 
ValueCountFrequency (%)
True 53
100.0%
2024-03-13T16:57:33.881245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct22
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.415094
Minimum4
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:33.950037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q19
median16
Q322
95-th percentile38.6
Maximum64
Range60
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.399494
Coefficient of variation (CV)0.6733332
Kurtosis3.8743118
Mean18.415094
Median Absolute Deviation (MAD)7
Skewness1.7368673
Sum976
Variance153.74746
MonotonicityNot monotonic
2024-03-13T16:57:34.051028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 10
18.9%
7 5
 
9.4%
15 4
 
7.5%
22 4
 
7.5%
10 3
 
5.7%
8 3
 
5.7%
32 3
 
5.7%
29 2
 
3.8%
6 2
 
3.8%
11 2
 
3.8%
Other values (12) 15
28.3%
ValueCountFrequency (%)
4 2
 
3.8%
6 2
 
3.8%
7 5
9.4%
8 3
 
5.7%
9 2
 
3.8%
10 3
 
5.7%
11 2
 
3.8%
15 4
 
7.5%
16 10
18.9%
18 1
 
1.9%
ValueCountFrequency (%)
64 1
 
1.9%
58 1
 
1.9%
44 1
 
1.9%
35 1
 
1.9%
32 3
5.7%
31 1
 
1.9%
29 2
3.8%
25 2
3.8%
24 1
 
1.9%
22 4
7.5%

CCTV 건물 안 설치수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.471698
Minimum0
Maximum50
Zeros2
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:34.150951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q316
95-th percentile26.8
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.7587402
Coefficient of variation (CV)0.7022893
Kurtosis5.2571016
Mean12.471698
Median Absolute Deviation (MAD)5
Skewness1.7312611
Sum661
Variance76.71553
MonotonicityNot monotonic
2024-03-13T16:57:34.247123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8 7
 
13.2%
13 6
 
11.3%
6 5
 
9.4%
5 4
 
7.5%
11 3
 
5.7%
2 2
 
3.8%
0 2
 
3.8%
19 2
 
3.8%
14 2
 
3.8%
16 2
 
3.8%
Other values (14) 18
34.0%
ValueCountFrequency (%)
0 2
 
3.8%
2 2
 
3.8%
4 1
 
1.9%
5 4
7.5%
6 5
9.4%
7 2
 
3.8%
8 7
13.2%
10 2
 
3.8%
11 3
5.7%
12 1
 
1.9%
ValueCountFrequency (%)
50 1
1.9%
28 2
3.8%
26 1
1.9%
25 1
1.9%
24 1
1.9%
23 1
1.9%
20 1
1.9%
19 2
3.8%
18 2
3.8%
17 1
1.9%

CCTV 건물 밖 설치수
Real number (ℝ)

Distinct17
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9433962
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T16:57:34.336590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q37
95-th percentile21
Maximum30
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.7948371
Coefficient of variation (CV)1.1432583
Kurtosis4.5050582
Mean5.9433962
Median Absolute Deviation (MAD)1
Skewness2.18037
Sum315
Variance46.169811
MonotonicityNot monotonic
2024-03-13T16:57:34.428966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 11
20.8%
3 10
18.9%
1 8
15.1%
4 6
11.3%
5 3
 
5.7%
8 2
 
3.8%
9 2
 
3.8%
21 2
 
3.8%
11 1
 
1.9%
30 1
 
1.9%
Other values (7) 7
13.2%
ValueCountFrequency (%)
1 8
15.1%
2 11
20.8%
3 10
18.9%
4 6
11.3%
5 3
 
5.7%
6 1
 
1.9%
7 1
 
1.9%
8 2
 
3.8%
9 2
 
3.8%
10 1
 
1.9%
ValueCountFrequency (%)
30 1
1.9%
29 1
1.9%
21 2
3.8%
17 1
1.9%
16 1
1.9%
14 1
1.9%
11 1
1.9%
10 1
1.9%
9 2
3.8%
8 2
3.8%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
20232
46 
20182
 
3
20192
 
2
20222
 
1
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

Length

2024-03-13T16:57:34.530863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:57:34.615998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T16:57:34.824707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
Distinct characters58
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

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 성북구 북악산로 913
3rd row서울특별시 성북구 보문사길 18
4th row서울특별시 성북구 화랑로48길 16
5th row서울특별시 성북구 정릉로 282
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
보문사길 2
 
0.9%
삼양로 2
 
0.9%
73 2
 
0.9%
66 2
 
0.9%
성북로 2
 
0.9%
Other values (79) 85
40.1%
2024-03-13T16:57:35.185063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
8 9
 
5.3%
0 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)Y20230828Y20230904Y20230904Y20230904Y20210421적합Y168820232서울특별시 성북구 보국문로 143
1서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)Y20230609Y20230712Y20230503Y20230328Y20230914적합Y118320232서울특별시 성북구 북악산로 913
2서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)Y20230915Y20230920Y20230705Y20230920Y20230901적합Y2523220232서울특별시 성북구 보문사길 18
3서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)Y20230905Y20220621Y20230414Y20230907Y20230801적합Y1611520232서울특별시 성북구 화랑로48길 16
4서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)Y20230911Y20230725Y20230829Y20230908Y20220610적합Y2216620232서울특별시 성북구 정릉로 282
5서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)Y20230904Y20230904Y20230904Y20230904N<NA>-Y40420232서울특별시 성북구 안암로7길 66
6서울특별시교육청성북강북교육지원청1ecec08c-efee-b044-e053-0a32095ab044성신유치원사립(법인)Y20230602Y20230316Y20230109Y20230328Y20230905적합Y2217520232서울특별시 성북구 보문로34다길 2
7서울특별시교육청성북강북교육지원청1ecec08c-f051-b044-e053-0a32095ab044서울장곡초등학교병설유치원공립(병설)Y20230904Y20230724Y20230906Y20230918Y20230830적합Y112920232서울특별시 성북구 장월로23길 16
8서울특별시교육청성북강북교육지원청1ecec08c-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)Y20180927Y20170622Y20180817Y20171002Y20180419적합Y65120182서울특별시 성북구 종암로9길 78
9서울특별시교육청성북강북교육지원청1ecec08c-f372-b044-e053-0a32095ab044선한유치원사립(법인)Y20230830Y20221221Y20221214Y20200928Y20230424적합Y108220232서울특별시 성북구 길음로9길 73
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
43서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)Y20230828Y20221220Y20230918Y20230627Y20230907적합Y64501420232서울특별시 성북구 종암로24가길 53
44서울특별시교육청성북강북교육지원청1ecec08d-0af8-b044-e053-0a32095ab044세아유치원사립(사인)Y20230509Y20230901Y20230908Y20230908N<NA>-Y86220232서울특별시 성북구 성북로4길 52
45서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)Y20230404Y20230214Y20230905Y20230911Y20220215적합Y2581720232서울특별시 성북구 돌곶이로22길 21
46서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)Y20230825Y20230824Y20230525Y20220919Y20220407적합Y1512320232서울특별시 성북구 장월로1가길 9
47서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)Y20230425Y20230908Y20230602Y20230721Y20230904적합Y75220232서울특별시 성북구 종암로5길 14
48서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)Y20220905Y20220929Y20220930Y20220926Y20220331적합Y1613320222서울특별시 성북구 성북로4길 52
49서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)Y20190321Y20180905Y20190308Y20180830Y20180618적합Y2218420191서울특별시 성북구 길음로13길 29
50서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)Y20230904Y20230904Y20230906Y20230915Y20220627적합Y167920232서울특별시 성북구 길음로13길 29
51서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)Y20230418Y20230905Y20230905Y20230905Y20230623적합Y58283020232서울특별시 성북구 장월로8가길 41
52서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)Y20230904Y20230904Y20230904Y20230904N<NA>-Y98120232서울특별시 성북구 숭인로 50