Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells2
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 B

Variable types

Text3
DateTime1

Dataset

Description경상남도 양산시 관내 키즈카페 현황에 대한 데이터로 업소명, 소재지, 전화번호, 데이터기준일자 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15099908

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (6.5%) missing valuesMissing
업소명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:06:04.091969
Analysis finished2023-12-10 23:06:04.432567
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:06:04.571561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.9032258
Min length4

Characters and Unicode

Total characters276
Distinct characters108
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row히어로키즈놀이터
2nd row샤랄랄라 키즈카페
3rd row코쿤키즈카페
4th row히어로스포츠파크 양산점
5th row엔젤키즈카페
ValueCountFrequency (%)
양산점 10
 
17.5%
모다아울렛양산점 2
 
3.5%
덕계점 2
 
3.5%
히어로키즈놀이터 1
 
1.8%
석산점 1
 
1.8%
차타타 1
 
1.8%
킹콩점프 1
 
1.8%
양산1호점 1
 
1.8%
점포러스평산점 1
 
1.8%
롤리폴리 1
 
1.8%
Other values (36) 36
63.2%
2023-12-11T08:06:05.163719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.4%
점 22
 
8.0%
산 17
 
6.2%
양 15
 
5.4%
키 9
 
3.3%
즈 8
 
2.9%
리 6
 
2.2%
이 6
 
2.2%
럭 6
 
2.2%
블 6
 
2.2%
Other values (98) 155
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
88.8%
Space Separator 26
 
9.4%
Uppercase Letter 3
 
1.1%
Decimal Number 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 22
 
9.0%
산 17
 
6.9%
양 15
 
6.1%
키 9
 
3.7%
즈 8
 
3.3%
리 6
 
2.4%
이 6
 
2.4%
럭 6
 
2.4%
블 6
 
2.4%
라 5
 
2.0%
Other values (93) 145
59.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
66.7%
Z 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
88.8%
Common 28
 
10.1%
Latin 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 22
 
9.0%
산 17
 
6.9%
양 15
 
6.1%
키 9
 
3.7%
즈 8
 
3.3%
리 6
 
2.4%
이 6
 
2.4%
럭 6
 
2.4%
블 6
 
2.4%
라 5
 
2.0%
Other values (93) 145
59.2%
Common
ValueCountFrequency (%)
26
92.9%
1 1
 
3.6%
& 1
 
3.6%
Latin
ValueCountFrequency (%)
O 2
66.7%
Z 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
88.8%
ASCII 31
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
83.9%
O 2
 
6.5%
Z 1
 
3.2%
1 1
 
3.2%
& 1
 
3.2%
Hangul
ValueCountFrequency (%)
점 22
 
9.0%
산 17
 
6.9%
양 15
 
6.1%
키 9
 
3.7%
즈 8
 
3.3%
리 6
 
2.4%
이 6
 
2.4%
럭 6
 
2.4%
블 6
 
2.4%
라 5
 
2.0%
Other values (93) 145
59.2%

소재지
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:06:05.402961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length22.774194
Min length14

Characters and Unicode

Total characters706
Distinct characters101
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 동면 금오13길 4 407호
2nd row경상남도 양산시 물금읍 야리로 21 5층
3rd row경상남도 양산시 대운로 167 2층
4th row경상남도 양산시 물금읍 범구로 14 유림노르웨이숲
5th row경상남도 양산시 물금읍 서들로 142 채움마트 건물 4층
ValueCountFrequency (%)
경상남도 31
 
17.7%
양산시 31
 
17.7%
물금읍 12
 
6.9%
4층 4
 
2.3%
동면 3
 
1.7%
금오13길 3
 
1.7%
2 3
 
1.7%
대운로 3
 
1.7%
중부로 3
 
1.7%
범구로 3
 
1.7%
Other values (70) 79
45.1%
2023-12-11T08:06:05.772375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
20.4%
산 37
 
5.2%
양 34
 
4.8%
상 34
 
4.8%
남 32
 
4.5%
시 32
 
4.5%
경 31
 
4.4%
도 31
 
4.4%
1 29
 
4.1%
로 24
 
3.4%
Other values (91) 278
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
63.5%
Space Separator 144
 
20.4%
Decimal Number 109
 
15.4%
Dash Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 37
 
8.3%
양 34
 
7.6%
상 34
 
7.6%
남 32
 
7.1%
시 32
 
7.1%
경 31
 
6.9%
도 31
 
6.9%
로 24
 
5.4%
금 16
 
3.6%
물 13
 
2.9%
Other values (77) 164
36.6%
Decimal Number
ValueCountFrequency (%)
1 29
26.6%
2 16
14.7%
7 14
12.8%
4 14
12.8%
5 9
 
8.3%
0 8
 
7.3%
6 8
 
7.3%
3 6
 
5.5%
9 3
 
2.8%
8 2
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
63.5%
Common 256
36.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 37
 
8.3%
양 34
 
7.6%
상 34
 
7.6%
남 32
 
7.1%
시 32
 
7.1%
경 31
 
6.9%
도 31
 
6.9%
로 24
 
5.4%
금 16
 
3.6%
물 13
 
2.9%
Other values (77) 164
36.6%
Common
ValueCountFrequency (%)
144
56.2%
1 29
 
11.3%
2 16
 
6.2%
7 14
 
5.5%
4 14
 
5.5%
5 9
 
3.5%
0 8
 
3.1%
6 8
 
3.1%
3 6
 
2.3%
9 3
 
1.2%
Other values (2) 5
 
2.0%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
63.5%
ASCII 258
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
55.8%
1 29
 
11.2%
2 16
 
6.2%
7 14
 
5.4%
4 14
 
5.4%
5 9
 
3.5%
0 8
 
3.1%
6 8
 
3.1%
3 6
 
2.3%
9 3
 
1.2%
Other values (4) 7
 
2.7%
Hangul
ValueCountFrequency (%)
산 37
 
8.3%
양 34
 
7.6%
상 34
 
7.6%
남 32
 
7.1%
시 32
 
7.1%
경 31
 
6.9%
도 31
 
6.9%
로 24
 
5.4%
금 16
 
3.6%
물 13
 
2.9%
Other values (77) 164
36.6%

전화번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing2
Missing (%)6.5%
Memory size380.0 B
2023-12-11T08:06:05.990759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.793103
Min length12

Characters and Unicode

Total characters371
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row070-7585-8589
2nd row055-387-9088
3rd row055-382-8466
4th row0507-1488-1132
5th row0507-1424-1016
ValueCountFrequency (%)
070-7585-8589 1
 
3.4%
055-911-7855 1
 
3.4%
055-387-9088 1
 
3.4%
070-7795-4751 1
 
3.4%
0507-1423-7748 1
 
3.4%
055-388-2226 1
 
3.4%
055-367-0541 1
 
3.4%
0507-1303-9473 1
 
3.4%
055-387-1601 1
 
3.4%
055-911-7955 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T08:06:06.332750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 60
16.2%
- 58
15.6%
0 57
15.4%
1 44
11.9%
7 32
8.6%
3 28
7.5%
8 27
7.3%
9 17
 
4.6%
2 16
 
4.3%
4 16
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
84.4%
Dash Punctuation 58
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 60
19.2%
0 57
18.2%
1 44
14.1%
7 32
10.2%
3 28
8.9%
8 27
8.6%
9 17
 
5.4%
2 16
 
5.1%
4 16
 
5.1%
6 16
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 60
16.2%
- 58
15.6%
0 57
15.4%
1 44
11.9%
7 32
8.6%
3 28
7.5%
8 27
7.3%
9 17
 
4.6%
2 16
 
4.3%
4 16
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 60
16.2%
- 58
15.6%
0 57
15.4%
1 44
11.9%
7 32
8.6%
3 28
7.5%
8 27
7.3%
9 17
 
4.6%
2 16
 
4.3%
4 16
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-04-20 00:00:00
Maximum2022-04-20 00:00:00
2023-12-11T08:06:06.440299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:06:06.528464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T08:06:06.606752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지전화번호
업소명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T08:06:04.298985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:06:04.399423image/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

업소명소재지전화번호데이터기준일자
0히어로키즈놀이터경상남도 양산시 동면 금오13길 4 407호070-7585-85892022-04-20
1샤랄랄라 키즈카페경상남도 양산시 물금읍 야리로 21 5층055-387-90882022-04-20
2코쿤키즈카페경상남도 양산시 대운로 167 2층055-382-84662022-04-20
3히어로스포츠파크 양산점경상남도 양산시 물금읍 범구로 14 유림노르웨이숲0507-1488-11322022-04-20
4엔젤키즈카페경상남도 양산시 물금읍 서들로 142 채움마트 건물 4층0507-1424-10162022-04-20
5블럭키즈 덕계점경상남도 양산시 덕명로 15 상가동 104호070-7537-36112022-04-20
6플레이키즈방방경상남도 양산시 삼호로 70 푸르지오 주상가 1층 107호070-4225-10112022-04-20
7프레리키즈카페 양산점경상남도 양산시 동면 금오13길 52 금진빌딩 4층0507-1310-87192022-04-20
8블럭앤키즈경상남도 양산시 번영로 66 남흥빌딩 2층 201호055-366-03662022-04-20
9리틀 히어로 ZOO 양산점경상남도 양산시 물금읍 범구로 140507-1414-11432022-04-20
업소명소재지전화번호데이터기준일자
21똑똑블럭 모다아울렛양산점경상남도 양산시 중부로 2055-911-79552022-04-20
22노리파크 석산점경상남도 양산시 동면 금오13길 16055-387-16012022-04-20
23블럭파티 양산점경상남도 양산시 평산중앙로 67 1층0507-1303-94732022-04-20
24쁘띠몽트 경상남도양산점경상남도 양산시 물금읍 서들로 148055-367-05412022-04-20
25판다트램폴린경상남도 양산시 북정중앙로 51055-388-22262022-04-20
26꼬마대통령 덕계점경상남도 양산시 덕계로 41-1 GS250507-1423-77482022-04-20
27헬로점핑 실내놀이터경상남도 양산시 물금읍 새실로 159<NA>2022-04-20
28키다리방방경상남도 양산시 양주로 38 네오월드070-7795-47512022-04-20
29룰루랄라경상남도 양산시 대운로 220 대운상가055-381-11162022-04-20
30꿈지락블럭경상남도 양산시 배움터길 11 평산휴먼시아<NA>2022-04-20