Overview

Dataset statistics

Number of variables22
Number of observations32
Missing cells8
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory189.1 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20807/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
소방안전점검여부 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
공시차수 is highly imbalanced (63.4%)Imbalance
놀이시설 안전검사 점검일자 has 8 (25.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
CCTV 건물 안 설치수 has 2 (6.2%) zerosZeros
CCTV 건물 밖 설치수 has 2 (6.2%) zerosZeros

Reproduction

Analysis started2024-03-13 14:44:34.310621
Analysis finished2024-03-13 14:44:34.591917
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울특별시교육청
32 

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 32
100.0%

Length

2024-03-13T23:44:34.667390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:44:34.807574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 32
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
성동광진교육지원청
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

Length

2024-03-13T23:44:34.941717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:44:35.067432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

유치원코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T23:44:35.313385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1152
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

Unique32 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-f424-b044-e053-0a32095ab044
3rd row1ecec08c-f507-b044-e053-0a32095ab044
4th row1ecec08c-f526-b044-e053-0a32095ab044
5th row1ecec08c-f8d0-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed19-b044-e053-0a32095ab044 1
 
3.1%
1ecec08c-f424-b044-e053-0a32095ab044 1
 
3.1%
c86bfe33-312b-465b-ae84-67bdc4e80ab3 1
 
3.1%
907fd160-25a1-4048-8de4-27e545ebd656 1
 
3.1%
442ef88e-43d6-4048-a12d-ed742301b58a 1
 
3.1%
1ecec08d-0f50-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f39-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f38-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e81-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e4c-b044-e053-0a32095ab044 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T23:44:35.752966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
57.3%
Lowercase Letter 364
31.6%
Dash Punctuation 128
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
30.8%
4 135
20.5%
3 71
 
10.8%
5 70
 
10.6%
8 46
 
7.0%
2 41
 
6.2%
1 40
 
6.1%
9 36
 
5.5%
6 10
 
1.5%
7 8
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
68.4%
Latin 364
31.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
25.8%
4 135
17.1%
- 128
16.2%
3 71
 
9.0%
5 70
 
8.9%
8 46
 
5.8%
2 41
 
5.2%
1 40
 
5.1%
9 36
 
4.6%
6 10
 
1.3%
Latin
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

유치원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T23:44:35.969557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.71875
Min length4

Characters and Unicode

Total characters279
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울마장초등학교병설유치원
2nd row아이들세상유치원
3rd row경동유치원
4th row송곡유치원
5th row성심유치원
ValueCountFrequency (%)
서울마장초등학교병설유치원 1
 
3.1%
아이들세상유치원 1
 
3.1%
서울경일초등학교병설유치원 1
 
3.1%
서울금호초등학교병설유치원 1
 
3.1%
서울동명초등학교병설유치원 1
 
3.1%
로사유치원 1
 
3.1%
서울옥정초등학교병설유치원 1
 
3.1%
서울사근초등학교병설유치원 1
 
3.1%
서울숭신초등학교병설유치원 1
 
3.1%
조은유치원 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T23:44:36.415163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

설립유형
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
5 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
40.6%
사립(사인) 13
40.6%
사립(법인) 5
 
15.6%
공립(단설) 1
 
3.1%

Length

2024-03-13T23:44:36.562474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:44:36.698854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
40.6%
사립(사인 13
40.6%
사립(법인 5
 
15.6%
공립(단설 1
 
3.1%

소방대피훈련여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-03-13T23:44:36.802883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225852
Minimum20180919
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:36.931992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180919
5-th percentile20190905
Q120230704
median20230905
Q320230920
95-th percentile20230923
Maximum20230926
Range50007
Interquartile range (IQR)215.5

Descriptive statistics

Standard deviation13648.839
Coefficient of variation (CV)0.00067482143
Kurtosis5.0991847
Mean20225852
Median Absolute Deviation (MAD)16
Skewness-2.5427623
Sum6.4722727 × 108
Variance1.8629079 × 108
MonotonicityNot monotonic
2024-03-13T23:44:37.113811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20230904 4
 
12.5%
20230921 4
 
12.5%
20230911 2
 
6.2%
20230920 2
 
6.2%
20230912 2
 
6.2%
20230906 2
 
6.2%
20230705 1
 
3.1%
20230926 1
 
3.1%
20230908 1
 
3.1%
20230517 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
20180919 1
3.1%
20190904 1
3.1%
20190906 1
3.1%
20201027 1
3.1%
20230330 1
3.1%
20230517 1
3.1%
20230613 1
3.1%
20230703 1
3.1%
20230705 1
3.1%
20230714 1
3.1%
ValueCountFrequency (%)
20230926 1
 
3.1%
20230925 1
 
3.1%
20230922 1
 
3.1%
20230921 4
12.5%
20230920 2
6.2%
20230912 2
6.2%
20230911 2
6.2%
20230908 1
 
3.1%
20230906 2
6.2%
20230904 4
12.5%

가스점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-03-13T23:44:37.247068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가스점검일자
Real number (ℝ)

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224696
Minimum20180716
Maximum20230921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:37.350437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180716
5-th percentile20190623
Q120230121
median20230456
Q320230806
95-th percentile20230908
Maximum20230921
Range50205
Interquartile range (IQR)685.25

Descriptive statistics

Standard deviation13611.601
Coefficient of variation (CV)0.00067301882
Kurtosis4.4472755
Mean20224696
Median Absolute Deviation (MAD)348
Skewness-2.3626206
Sum6.4719027 × 108
Variance1.8527568 × 108
MonotonicityNot monotonic
2024-03-13T23:44:37.512023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230822 2
 
6.2%
20230901 2
 
6.2%
20230724 2
 
6.2%
20230403 2
 
6.2%
20230904 1
 
3.1%
20230704 1
 
3.1%
20230130 1
 
3.1%
20230720 1
 
3.1%
20230518 1
 
3.1%
20230509 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
20180716 1
3.1%
20190617 1
3.1%
20190628 1
3.1%
20200617 1
3.1%
20220930 1
3.1%
20221114 1
3.1%
20221124 1
3.1%
20230105 1
3.1%
20230126 1
3.1%
20230130 1
3.1%
ValueCountFrequency (%)
20230921 1
3.1%
20230913 1
3.1%
20230904 1
3.1%
20230901 2
6.2%
20230822 2
6.2%
20230821 1
3.1%
20230801 1
3.1%
20230724 2
6.2%
20230720 1
3.1%
20230704 1
3.1%

소방안전점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-03-13T23:44:37.621882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223012
Minimum20180608
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:37.729687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180608
5-th percentile20185943
Q120221226
median20230758
Q320230912
95-th percentile20230920
Maximum20230925
Range50317
Interquartile range (IQR)9685.25

Descriptive statistics

Standard deviation15653.185
Coefficient of variation (CV)0.0007740284
Kurtosis2.5530792
Mean20223012
Median Absolute Deviation (MAD)158.5
Skewness-1.9780858
Sum6.4713637 × 108
Variance2.4502221 × 108
MonotonicityNot monotonic
2024-03-13T23:44:37.886282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20230914 2
 
6.2%
20230918 2
 
6.2%
20230915 2
 
6.2%
20230911 2
 
6.2%
20230904 2
 
6.2%
20190305 1
 
3.1%
20230901 1
 
3.1%
20230923 1
 
3.1%
20230803 1
 
3.1%
20230713 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
20180608 1
3.1%
20180612 1
3.1%
20190305 1
3.1%
20190904 1
3.1%
20200908 1
3.1%
20220922 1
3.1%
20221209 1
3.1%
20221222 1
3.1%
20221228 1
3.1%
20230302 1
3.1%
ValueCountFrequency (%)
20230925 1
3.1%
20230923 1
3.1%
20230918 2
6.2%
20230915 2
6.2%
20230914 2
6.2%
20230911 2
6.2%
20230907 1
3.1%
20230905 1
3.1%
20230904 2
6.2%
20230901 1
3.1%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-03-13T23:44:38.010326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223629
Minimum20180725
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:38.126092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180725
5-th percentile20181175
Q120230468
median20230828
Q320230914
95-th percentile20230923
Maximum20230925
Range50200
Interquartile range (IQR)445.75

Descriptive statistics

Standard deviation16467.537
Coefficient of variation (CV)0.00081427208
Kurtosis2.7639032
Mean20223629
Median Absolute Deviation (MAD)94.5
Skewness-2.0834243
Sum6.4715614 × 108
Variance2.7117977 × 108
MonotonicityNot monotonic
2024-03-13T23:44:38.280798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20230922 2
 
6.2%
20230921 2
 
6.2%
20230912 2
 
6.2%
20230925 2
 
6.2%
20230918 1
 
3.1%
20230905 1
 
3.1%
20230724 1
 
3.1%
20230227 1
 
3.1%
20230904 1
 
3.1%
20230911 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
20180725 1
3.1%
20181116 1
3.1%
20181223 1
3.1%
20190702 1
3.1%
20200603 1
3.1%
20220930 1
3.1%
20230227 1
3.1%
20230302 1
3.1%
20230523 1
3.1%
20230627 1
3.1%
ValueCountFrequency (%)
20230925 2
6.2%
20230922 2
6.2%
20230921 2
6.2%
20230918 1
3.1%
20230915 1
3.1%
20230913 1
3.1%
20230912 2
6.2%
20230911 1
3.1%
20230906 1
3.1%
20230905 1
3.1%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
24 
False
8 
ValueCountFrequency (%)
True 24
75.0%
False 8
 
25.0%
2024-03-13T23:44:38.436756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing8
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean20222771
Minimum20190213
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:38.559388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190213
5-th percentile20190401
Q120220890
median20230330
Q320230819
95-th percentile20230918
Maximum20230925
Range40712
Interquartile range (IQR)9929.25

Descriptive statistics

Standard deviation13531.938
Coefficient of variation (CV)0.0006691436
Kurtosis2.1913235
Mean20222771
Median Absolute Deviation (MAD)538
Skewness-1.8247821
Sum4.8534652 × 108
Variance1.8311335 × 108
MonotonicityNot monotonic
2024-03-13T23:44:38.723827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20230831 2
 
6.2%
20190213 1
 
3.1%
20221128 1
 
3.1%
20230713 1
 
3.1%
20221115 1
 
3.1%
20230526 1
 
3.1%
20230925 1
 
3.1%
20220302 1
 
3.1%
20230802 1
 
3.1%
20220811 1
 
3.1%
Other values (13) 13
40.6%
(Missing) 8
25.0%
ValueCountFrequency (%)
20190213 1
3.1%
20190313 1
3.1%
20190902 1
3.1%
20211209 1
3.1%
20220302 1
3.1%
20220811 1
3.1%
20220916 1
3.1%
20221115 1
3.1%
20221128 1
3.1%
20230209 1
3.1%
ValueCountFrequency (%)
20230925 1
3.1%
20230921 1
3.1%
20230904 1
3.1%
20230831 2
6.2%
20230828 1
3.1%
20230816 1
3.1%
20230802 1
3.1%
20230713 1
3.1%
20230526 1
3.1%
20230421 1
3.1%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
적합
24 
-
8 

Length

Max length2
Median length2
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 24
75.0%
- 8
 
25.0%

Length

2024-03-13T23:44:38.878677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:44:38.972157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 24
75.0%
8
 
25.0%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2024-03-13T23:44:39.063409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.65625
Minimum3
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:39.180490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17.75
median14.5
Q322.25
95-th percentile33.45
Maximum37
Range34
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation10.011636
Coefficient of variation (CV)0.6394658
Kurtosis-0.67280174
Mean15.65625
Median Absolute Deviation (MAD)7.5
Skewness0.65267356
Sum501
Variance100.23286
MonotonicityNot monotonic
2024-03-13T23:44:39.304968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
16 5
15.6%
4 4
 
12.5%
7 2
 
6.2%
27 2
 
6.2%
13 2
 
6.2%
10 2
 
6.2%
8 2
 
6.2%
31 1
 
3.1%
17 1
 
3.1%
34 1
 
3.1%
Other values (10) 10
31.2%
ValueCountFrequency (%)
3 1
 
3.1%
4 4
12.5%
6 1
 
3.1%
7 2
 
6.2%
8 2
 
6.2%
9 1
 
3.1%
10 2
 
6.2%
11 1
 
3.1%
13 2
 
6.2%
16 5
15.6%
ValueCountFrequency (%)
37 1
3.1%
34 1
3.1%
33 1
3.1%
31 1
3.1%
30 1
3.1%
27 2
6.2%
23 1
3.1%
22 1
3.1%
19 1
3.1%
17 1
3.1%

CCTV 건물 안 설치수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5
Minimum0
Maximum19
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:39.432260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q13
median7.5
Q313.25
95-th percentile16.9
Maximum19
Range19
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation5.5416313
Coefficient of variation (CV)0.65195662
Kurtosis-1.1491474
Mean8.5
Median Absolute Deviation (MAD)4.5
Skewness0.19531306
Sum272
Variance30.709677
MonotonicityNot monotonic
2024-03-13T23:44:39.863411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 4
12.5%
7 3
9.4%
12 3
9.4%
14 3
9.4%
2 3
9.4%
0 2
 
6.2%
16 2
 
6.2%
10 2
 
6.2%
6 2
 
6.2%
18 1
 
3.1%
Other values (7) 7
21.9%
ValueCountFrequency (%)
0 2
6.2%
2 3
9.4%
3 4
12.5%
4 1
 
3.1%
5 1
 
3.1%
6 2
6.2%
7 3
9.4%
8 1
 
3.1%
9 1
 
3.1%
10 2
6.2%
ValueCountFrequency (%)
19 1
 
3.1%
18 1
 
3.1%
16 2
6.2%
15 1
 
3.1%
14 3
9.4%
13 1
 
3.1%
12 3
9.4%
10 2
6.2%
9 1
 
3.1%
8 1
 
3.1%

CCTV 건물 밖 설치수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.15625
Minimum0
Maximum24
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T23:44:39.969414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q12
median3
Q313
95-th percentile21.25
Maximum24
Range24
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.4622031
Coefficient of variation (CV)1.0427533
Kurtosis-0.16077887
Mean7.15625
Median Absolute Deviation (MAD)1.5
Skewness1.1238297
Sum229
Variance55.684476
MonotonicityNot monotonic
2024-03-13T23:44:40.073732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 7
21.9%
2 5
15.6%
4 4
12.5%
1 3
9.4%
0 2
 
6.2%
18 2
 
6.2%
13 2
 
6.2%
24 2
 
6.2%
19 2
 
6.2%
7 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 2
 
6.2%
1 3
9.4%
2 5
15.6%
3 7
21.9%
4 4
12.5%
7 1
 
3.1%
9 1
 
3.1%
13 2
 
6.2%
15 1
 
3.1%
18 2
 
6.2%
ValueCountFrequency (%)
24 2
 
6.2%
19 2
 
6.2%
18 2
 
6.2%
15 1
 
3.1%
13 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%
4 4
12.5%
3 7
21.9%
2 5
15.6%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
20232
28 
20192
 
2
20202
 
1
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row20232
2nd row20232
3rd row20232
4th row20202
5th row20232

Common Values

ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

Length

2024-03-13T23:44:40.190022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:44:40.292737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T23:44:40.485507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.03125
Min length16

Characters and Unicode

Total characters577
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 독서당로 272
3rd row서울특별시 성동구 금호로 100
4th row서울특별시 성동구 무학로6길 41
5th row서울특별시 성동구 무학로10길 21
ValueCountFrequency (%)
서울특별시 32
25.0%
성동구 32
25.0%
독서당로 4
 
3.1%
21 4
 
3.1%
살곶이길 2
 
1.6%
50 2
 
1.6%
35 2
 
1.6%
마장로 1
 
0.8%
무학로 1
 
0.8%
금호로1길 1
 
0.8%
Other values (47) 47
36.7%
2024-03-13T23:44:40.933339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.6%
서 37
 
6.4%
성 34
 
5.9%
동 34
 
5.9%
특 32
 
5.5%
별 32
 
5.5%
시 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
길 22
 
3.8%
Other values (45) 194
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
66.4%
Decimal Number 98
 
17.0%
Space Separator 96
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 20
20.4%
3 12
12.2%
4 9
9.2%
5 9
9.2%
0 8
 
8.2%
9 7
 
7.1%
6 6
 
6.1%
7 4
 
4.1%
8 1
 
1.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
66.4%
Common 194
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Common
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
66.4%
ASCII 194
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%
Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)Y20230705Y20230904Y20230914Y20230918Y20230904적합Y30320232서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)Y20230921Y20230316Y20230518Y20230726N<NA>-Y106420232서울특별시 성동구 독서당로 272
2서울특별시교육청성동광진교육지원청1ecec08c-f507-b044-e053-0a32095ab044경동유치원사립(사인)Y20230823Y20230822Y20221228Y20230922N<NA>-Y1616020232서울특별시 성동구 금호로 100
3서울특별시교육청성동광진교육지원청1ecec08c-f526-b044-e053-0a32095ab044송곡유치원사립(법인)Y20201027Y20200617Y20200908Y20200603Y20190213적합Y63320202서울특별시 성동구 무학로6길 41
4서울특별시교육청성동광진교육지원청1ecec08c-f8d0-b044-e053-0a32095ab044성심유치원사립(법인)Y20230925Y20230801Y20230907Y20230913N<NA>-Y1110120232서울특별시 성동구 무학로10길 21
5서울특별시교육청성동광진교육지원청1ecec08c-fe09-b044-e053-0a32095ab044옥수삼성유치원사립(사인)Y20230330Y20230302Y20230302Y20230302N<NA>-Y107320232서울특별시 성동구 독서당로 218
6서울특별시교육청성동광진교육지원청1ecec08d-00be-b044-e053-0a32095ab044세성유치원사립(사인)Y20230831Y20230901Y20230915Y20230921Y20230421적합Y44020232서울특별시 성동구 독서당로 434
7서울특별시교육청성동광진교육지원청1ecec08d-01d5-b044-e053-0a32095ab044서울용답초등학교병설유치원공립(병설)Y20230904Y20230724Y20230911Y20230912Y20220916적합Y37191820232서울특별시 성동구 용답25길 1
8서울특별시교육청성동광진교육지원청1ecec08d-029d-b044-e053-0a32095ab044서울송원초등학교병설유치원공립(병설)Y20230703Y20221114Y20230905Y20230912Y20230328적합Y1961320232서울특별시 성동구 동일로43길 9
9서울특별시교육청성동광진교육지원청1ecec08d-02a8-b044-e053-0a32095ab044율화유치원사립(사인)Y20230904Y20230403Y20221209Y20230523N<NA>-Y1312120232서울특별시 성동구 고산자로2길 35
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
22서울특별시교육청성동광진교육지원청1ecec08d-0e4b-b044-e053-0a32095ab044옥수예일유치원사립(사인)Y20230922Y20220930Y20220922Y20220930Y20220811적합Y1614220232서울특별시 성동구 독서당로 191
23서울특별시교육청성동광진교육지원청1ecec08d-0e4c-b044-e053-0a32095ab044조은유치원사립(사인)Y20230714Y20230821Y20230609Y20230830Y20230802적합Y87120232서울특별시 성동구 살곶이길 50
24서울특별시교육청성동광진교육지원청1ecec08d-0e81-b044-e053-0a32095ab044서울숭신초등학교병설유치원공립(병설)Y20230613Y20230521Y20230713Y20230813Y20220302적합Y33181520232서울특별시 성동구 마장로 161
25서울특별시교육청성동광진교육지원청1ecec08d-0f38-b044-e053-0a32095ab044서울사근초등학교병설유치원공립(병설)Y20230904Y20230509Y20230914Y20230906Y20230831적합Y42220232서울특별시 성동구 사근동11길 16
26서울특별시교육청성동광진교육지원청1ecec08d-0f39-b044-e053-0a32095ab044서울옥정초등학교병설유치원공립(병설)Y20230517Y20230518Y20230803Y20230810Y20230925적합Y2781920232서울특별시 성동구 한림말길 43
27서울특별시교육청성동광진교육지원청1ecec08d-0f50-b044-e053-0a32095ab044로사유치원사립(법인)Y20230908Y20230720Y20230911Y20230911Y20230526적합Y1613320232서울특별시 성동구 성덕정길 23
28서울특별시교육청성동광진교육지원청442ef88e-43d6-4048-a12d-ed742301b58a서울동명초등학교병설유치원공립(병설)Y20230906Y20230724Y20230918Y20230904Y20230831적합Y30121820232서울특별시 성동구 마장로29길 29
29서울특별시교육청성동광진교육지원청907fd160-25a1-4048-8de4-27e545ebd656서울금호초등학교병설유치원공립(병설)Y20230912Y20230822Y20230918Y20230227Y20221115적합Y34151920232서울특별시 성동구 무수막길 69
30서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)Y20230926Y20230130Y20230923Y20230922Y20230713적합Y2732420232서울특별시 성동구 뚝섬로 332
31서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)Y20230921Y20230901Y20230901Y20230724Y20221128적합Y1714320232서울특별시 성동구 무학봉15길 21