Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.3 B

Variable types

Text2
DateTime2
Boolean1
Numeric1

Dataset

Description경상남도 남해군에 설치된 어린이 놀이시설 정보입니다. 시설명, 놀이시설 주소지, 설치일자, 안전점검일자, 보험가입여부, 면적 등의 정보를 포함하고 있습니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15039713

Alerts

보험가입여부 has constant value ""Constant
시설명 has unique valuesUnique
면적(㎡) has 14 (56.0%) zerosZeros

Reproduction

Analysis started2023-12-10 22:46:47.085704
Analysis finished2023-12-10 22:46:48.121053
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T07:46:48.300385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length10.4
Min length5

Characters and Unicode

Total characters260
Distinct characters86
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

Unique25 ?
Unique (%)100.0%

Sample

1st row남산공원 놀이체험장
2nd row남양아파트
3rd row남해스포츠파크
4th row남해스포츠파크 놀이시설
5th row남해어린이집 놀이터
ValueCountFrequency (%)
남해평리아파트 3
 
6.7%
놀이시설 3
 
6.7%
놀이터 3
 
6.7%
남해스포츠파크 2
 
4.4%
파크에비뉴아파트 1
 
2.2%
에덴선교어린이집 1
 
2.2%
연꽃어린이집 1
 
2.2%
우정어린이집 1
 
2.2%
원광어린이집 1
 
2.2%
지족3리 1
 
2.2%
Other values (28) 28
62.2%
2023-12-11T07:46:48.735054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 25
 
9.6%
20
 
7.7%
놀 15
 
5.8%
파 12
 
4.6%
린 10
 
3.8%
어 10
 
3.8%
남 9
 
3.5%
아 9
 
3.5%
트 9
 
3.5%
집 8
 
3.1%
Other values (76) 133
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
90.8%
Space Separator 20
 
7.7%
Decimal Number 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
10.6%
놀 15
 
6.4%
파 12
 
5.1%
린 10
 
4.2%
어 10
 
4.2%
남 9
 
3.8%
아 9
 
3.8%
트 9
 
3.8%
집 8
 
3.4%
터 7
 
3.0%
Other values (72) 122
51.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
90.8%
Common 24
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
10.6%
놀 15
 
6.4%
파 12
 
5.1%
린 10
 
4.2%
어 10
 
4.2%
남 9
 
3.8%
아 9
 
3.8%
트 9
 
3.8%
집 8
 
3.4%
터 7
 
3.0%
Other values (72) 122
51.7%
Common
ValueCountFrequency (%)
20
83.3%
2 2
 
8.3%
3 1
 
4.2%
1 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
90.8%
ASCII 24
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 25
 
10.6%
놀 15
 
6.4%
파 12
 
5.1%
린 10
 
4.2%
어 10
 
4.2%
남 9
 
3.8%
아 9
 
3.8%
트 9
 
3.8%
집 8
 
3.4%
터 7
 
3.0%
Other values (72) 122
51.7%
ASCII
ValueCountFrequency (%)
20
83.3%
2 2
 
8.3%
3 1
 
4.2%
1 1
 
4.2%

주소
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T07:46:48.977736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length25.64
Min length19

Characters and Unicode

Total characters641
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row경상남도 남해군 남해읍 망운로9번길 42-53
2nd row경상남도 남해군 남해읍 망운로 77 (남양아파트)
3rd row경상남도 남해군 서면 스포츠파크길 15
4th row경상남도 남해군 서면 스포츠파크길 15
5th row경상남도 남해군 남해읍 화전로43번길 11-15
ValueCountFrequency (%)
경상남도 25
18.7%
남해군 25
18.7%
남해읍 16
 
11.9%
20 4
 
3.0%
스포츠로 3
 
2.2%
평리휴먼시아아파트 3
 
2.2%
오동로 2
 
1.5%
21 2
 
1.5%
아산리 2
 
1.5%
삼동면 2
 
1.5%
Other values (43) 50
37.3%
2023-12-11T07:46:49.382110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
17.0%
남 70
 
10.9%
해 42
 
6.6%
경 25
 
3.9%
도 25
 
3.9%
군 25
 
3.9%
상 25
 
3.9%
1 21
 
3.3%
로 20
 
3.1%
읍 16
 
2.5%
Other values (58) 263
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
65.7%
Space Separator 109
 
17.0%
Decimal Number 89
 
13.9%
Open Punctuation 8
 
1.2%
Close Punctuation 8
 
1.2%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 70
16.6%
해 42
 
10.0%
경 25
 
5.9%
도 25
 
5.9%
군 25
 
5.9%
상 25
 
5.9%
로 20
 
4.8%
읍 16
 
3.8%
길 13
 
3.1%
아 13
 
3.1%
Other values (44) 147
34.9%
Decimal Number
ValueCountFrequency (%)
1 21
23.6%
4 10
11.2%
3 10
11.2%
2 9
10.1%
5 8
 
9.0%
0 7
 
7.9%
9 7
 
7.9%
7 6
 
6.7%
6 6
 
6.7%
8 5
 
5.6%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
65.7%
Common 220
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 70
16.6%
해 42
 
10.0%
경 25
 
5.9%
도 25
 
5.9%
군 25
 
5.9%
상 25
 
5.9%
로 20
 
4.8%
읍 16
 
3.8%
길 13
 
3.1%
아 13
 
3.1%
Other values (44) 147
34.9%
Common
ValueCountFrequency (%)
109
49.5%
1 21
 
9.5%
4 10
 
4.5%
3 10
 
4.5%
2 9
 
4.1%
( 8
 
3.6%
) 8
 
3.6%
5 8
 
3.6%
0 7
 
3.2%
9 7
 
3.2%
Other values (4) 23
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
65.7%
ASCII 220
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
49.5%
1 21
 
9.5%
4 10
 
4.5%
3 10
 
4.5%
2 9
 
4.1%
( 8
 
3.6%
) 8
 
3.6%
5 8
 
3.6%
0 7
 
3.2%
9 7
 
3.2%
Other values (4) 23
 
10.5%
Hangul
ValueCountFrequency (%)
남 70
16.6%
해 42
 
10.0%
경 25
 
5.9%
도 25
 
5.9%
군 25
 
5.9%
상 25
 
5.9%
로 20
 
4.8%
읍 16
 
3.8%
길 13
 
3.1%
아 13
 
3.1%
Other values (44) 147
34.9%

설치일자
Date

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1992-01-01 00:00:00
Maximum2020-03-05 00:00:00
2023-12-11T07:46:49.519331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:49.682268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

안전검사일
Date

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2019-01-02 00:00:00
Maximum2020-08-13 00:00:00
2023-12-11T07:46:49.793820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:49.902727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

보험가입여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-11T07:46:50.001720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

면적(㎡)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.36
Minimum0
Maximum7900
Zeros14
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:46:50.089032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3250
95-th percentile312.8
Maximum7900
Range7900
Interquartile range (IQR)250

Descriptive statistics

Standard deviation1566.5971
Coefficient of variation (CV)3.8935209
Kurtosis24.670061
Mean402.36
Median Absolute Deviation (MAD)0
Skewness4.9527549
Sum10059
Variance2454226.4
MonotonicityNot monotonic
2023-12-11T07:46:50.206258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14
56.0%
250 2
 
8.0%
262 1
 
4.0%
7900 1
 
4.0%
168 1
 
4.0%
100 1
 
4.0%
32 1
 
4.0%
221 1
 
4.0%
272 1
 
4.0%
284 1
 
4.0%
ValueCountFrequency (%)
0 14
56.0%
32 1
 
4.0%
100 1
 
4.0%
168 1
 
4.0%
221 1
 
4.0%
250 2
 
8.0%
262 1
 
4.0%
272 1
 
4.0%
284 1
 
4.0%
320 1
 
4.0%
ValueCountFrequency (%)
7900 1
4.0%
320 1
4.0%
284 1
4.0%
272 1
4.0%
262 1
4.0%
250 2
8.0%
221 1
4.0%
168 1
4.0%
100 1
4.0%
32 1
4.0%

Interactions

2023-12-11T07:46:47.707389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:46:50.550622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명주소설치일자안전검사일면적(㎡)
시설명1.0001.0001.0001.0001.000
주소1.0001.0000.9910.9680.000
설치일자1.0000.9911.0000.9870.000
안전검사일1.0000.9680.9871.0001.000
면적(㎡)1.0000.0000.0001.0001.000

Missing values

2023-12-11T07:46:47.917330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:46:48.047561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시설명주소설치일자안전검사일보험가입여부면적(㎡)
0남산공원 놀이체험장경상남도 남해군 남해읍 망운로9번길 42-532015-11-042019-12-06Y0
1남양아파트경상남도 남해군 남해읍 망운로 77 (남양아파트)1992-01-012019-01-02Y262
2남해스포츠파크경상남도 남해군 서면 스포츠파크길 152013-08-272020-05-25Y0
3남해스포츠파크 놀이시설경상남도 남해군 서면 스포츠파크길 152002-01-012019-09-09Y7900
4남해어린이집 놀이터경상남도 남해군 남해읍 화전로43번길 11-152007-03-012019-03-06Y168
5남해파크에비뉴 2차 아파트경상남도 남해군 남해읍 망운로61번길 172017-01-162019-01-21Y0
6남해평리아파트 놀이터1경상남도 남해군 남해읍 스포츠로 20 (평리휴먼시아아파트)2009-12-032019-11-21Y0
7남해평리아파트 놀이터2경상남도 남해군 남해읍 스포츠로 20 (평리휴먼시아아파트)2009-12-032019-11-21Y0
8남해평리아파트 유아놀이터경상남도 남해군 남해읍 스포츠로 20 (평리휴먼시아아파트)2009-12-032019-11-21Y0
9모모어린이집경상남도 남해군 남해읍 오동로 132011-06-012020-08-13Y100
시설명주소설치일자안전검사일보험가입여부면적(㎡)
15에덴선교어린이집경상남도 남해군 남면 남서대로748번길 49-52013-03-282019-03-11Y0
16연꽃어린이집 놀이터경상남도 남해군 남해읍 망운로10번길 45-101998-01-012019-03-06Y0
17우정어린이집경상남도 남해군 남해읍 화전로38번가길 91998-01-012019-03-06Y272
18원광어린이집경상남도 남해군 남해읍 화전로95번길 331993-01-012020-08-12Y250
19지족3리 어린이놀이터경상남도 남해군 삼동면 동부대로1876번가길 34 (대아아파트)2015-06-012019-06-05Y0
20창선어린이집경상남도 남해군 창선면 창선로131번길 201998-03-012019-08-23Y250
21파크에비뉴아파트 놀이시설경상남도 남해군 남해읍 화전로96번길 21 (남해파크에비뉴)2014-01-042019-12-17Y0
22하늘빛어린이집경상남도 남해군 삼동면 동부대로1809번길 212015-11-102019-11-06Y0
23현대아파트경상남도 남해군 남해읍 화전로 154 (현대아파트)1997-01-012020-06-16Y284
24동창선 다누리 플랫폼 조성사업 물놀이장경상남도 남해군 창선면 오용리 473-1 동창선초등학교2020-03-052020-04-22Y320