Overview

Dataset statistics

Number of variables4
Number of observations241
Missing cells28
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory32.5 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시금정구_체육시설업현황_20230912
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3055608

Alerts

시설전화번호 has 28 (11.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:00:59.813713
Analysis finished2023-12-10 17:01:00.933456
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct9
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
체력단련장업
65 
체육도장업
59 
당구장업
53 
골프연습장업
41 
가상체험 체육시설업
8 
Other values (4)
15 

Length

Max length10
Median length7
Mean length5.3775934
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row수영장업
2nd row수영장업
3rd row수영장업
4th row수영장업
5th row체육도장업

Common Values

ValueCountFrequency (%)
체력단련장업 65
27.0%
체육도장업 59
24.5%
당구장업 53
22.0%
골프연습장업 41
17.0%
가상체험 체육시설업 8
 
3.3%
체육교습업 8
 
3.3%
수영장업 4
 
1.7%
무도학원업 2
 
0.8%
종합체육시설업 1
 
0.4%

Length

2023-12-11T02:01:01.065668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:01.259575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 65
26.1%
체육도장업 59
23.7%
당구장업 53
21.3%
골프연습장업 41
16.5%
가상체험 8
 
3.2%
체육시설업 8
 
3.2%
체육교습업 8
 
3.2%
수영장업 4
 
1.6%
무도학원업 2
 
0.8%
종합체육시설업 1
 
0.4%

상호
Text

Distinct237
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T02:01:01.768126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.3609959
Min length3

Characters and Unicode

Total characters1774
Distinct characters291
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)96.7%

Sample

1st row스타키즈 수영장
2nd row점프키즈센터
3rd row펀펀짐 어린이 수영장
4th row아쿠아베이 어린이 수영장
5th row베스트명성체육관
ValueCountFrequency (%)
당구장 10
 
2.7%
당구클럽 6
 
1.6%
골프 5
 
1.4%
태권도 5
 
1.4%
부산대점 5
 
1.4%
피트니스 4
 
1.1%
태권도장 4
 
1.1%
헬스 4
 
1.1%
pt 4
 
1.1%
승리마루 4
 
1.1%
Other values (285) 315
86.1%
2023-12-11T02:01:02.449725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
7.0%
스 91
 
5.1%
장 67
 
3.8%
구 60
 
3.4%
당 49
 
2.8%
프 49
 
2.8%
골 44
 
2.5%
도 40
 
2.3%
트 31
 
1.7%
태 29
 
1.6%
Other values (281) 1189
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1482
83.5%
Space Separator 125
 
7.0%
Uppercase Letter 87
 
4.9%
Lowercase Letter 32
 
1.8%
Open Punctuation 16
 
0.9%
Close Punctuation 16
 
0.9%
Decimal Number 12
 
0.7%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 91
 
6.1%
장 67
 
4.5%
구 60
 
4.0%
당 49
 
3.3%
프 49
 
3.3%
골 44
 
3.0%
도 40
 
2.7%
트 31
 
2.1%
태 29
 
2.0%
권 28
 
1.9%
Other values (233) 994
67.1%
Uppercase Letter
ValueCountFrequency (%)
P 9
10.3%
J 9
10.3%
T 8
9.2%
K 8
9.2%
G 7
 
8.0%
S 7
 
8.0%
B 6
 
6.9%
M 6
 
6.9%
Y 5
 
5.7%
H 3
 
3.4%
Other values (12) 19
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
12.5%
i 4
12.5%
a 3
9.4%
t 3
9.4%
l 3
9.4%
n 2
 
6.2%
s 2
 
6.2%
y 2
 
6.2%
o 2
 
6.2%
k 1
 
3.1%
Other values (6) 6
18.8%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
4 3
25.0%
7 1
 
8.3%
3 1
 
8.3%
1 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1482
83.5%
Common 173
 
9.8%
Latin 119
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 91
 
6.1%
장 67
 
4.5%
구 60
 
4.0%
당 49
 
3.3%
프 49
 
3.3%
골 44
 
3.0%
도 40
 
2.7%
트 31
 
2.1%
태 29
 
2.0%
권 28
 
1.9%
Other values (233) 994
67.1%
Latin
ValueCountFrequency (%)
P 9
 
7.6%
J 9
 
7.6%
T 8
 
6.7%
K 8
 
6.7%
G 7
 
5.9%
S 7
 
5.9%
B 6
 
5.0%
M 6
 
5.0%
Y 5
 
4.2%
e 4
 
3.4%
Other values (28) 50
42.0%
Common
ValueCountFrequency (%)
125
72.3%
( 16
 
9.2%
) 16
 
9.2%
2 6
 
3.5%
4 3
 
1.7%
& 3
 
1.7%
7 1
 
0.6%
3 1
 
0.6%
1 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1482
83.5%
ASCII 292
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
42.8%
( 16
 
5.5%
) 16
 
5.5%
P 9
 
3.1%
J 9
 
3.1%
T 8
 
2.7%
K 8
 
2.7%
G 7
 
2.4%
S 7
 
2.4%
B 6
 
2.1%
Other values (38) 81
27.7%
Hangul
ValueCountFrequency (%)
스 91
 
6.1%
장 67
 
4.5%
구 60
 
4.0%
당 49
 
3.3%
프 49
 
3.3%
골 44
 
3.0%
도 40
 
2.7%
트 31
 
2.1%
태 29
 
2.0%
권 28
 
1.9%
Other values (233) 994
67.1%

시설주소
Text

Distinct235
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T02:01:02.874879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length30.547718
Min length21

Characters and Unicode

Total characters7362
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)95.0%

Sample

1st row부산광역시 금정구 부곡로 140 (부곡동)
2nd row부산광역시 금정구 금샘로 561-1 (남산동)
3rd row부산광역시 금정구 금강로 231, Z-ZONE (장전동)
4th row부산광역시 금정구 금정로 244, 선국빌딩 7층 (구서동)
5th row부산광역시 금정구 서부로16번길 6 (서동)
ValueCountFrequency (%)
부산광역시 241
 
16.5%
금정구 241
 
16.5%
구서동 58
 
4.0%
장전동 57
 
3.9%
부곡동 52
 
3.6%
2층 40
 
2.7%
금강로 39
 
2.7%
남산동 36
 
2.5%
3층 29
 
2.0%
서동 21
 
1.4%
Other values (337) 647
44.3%
2023-12-11T02:01:03.628673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1220
 
16.6%
부 342
 
4.6%
금 340
 
4.6%
산 313
 
4.3%
구 313
 
4.3%
동 274
 
3.7%
정 270
 
3.7%
시 249
 
3.4%
역 242
 
3.3%
로 242
 
3.3%
Other values (198) 3557
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4364
59.3%
Space Separator 1220
 
16.6%
Decimal Number 1043
 
14.2%
Open Punctuation 241
 
3.3%
Close Punctuation 241
 
3.3%
Other Punctuation 207
 
2.8%
Dash Punctuation 31
 
0.4%
Uppercase Letter 14
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 342
 
7.8%
금 340
 
7.8%
산 313
 
7.2%
구 313
 
7.2%
동 274
 
6.3%
정 270
 
6.2%
시 249
 
5.7%
역 242
 
5.5%
로 242
 
5.5%
광 242
 
5.5%
Other values (173) 1537
35.2%
Decimal Number
ValueCountFrequency (%)
1 210
20.1%
2 176
16.9%
3 115
11.0%
4 100
9.6%
5 87
8.3%
9 83
 
8.0%
6 80
 
7.7%
7 69
 
6.6%
0 66
 
6.3%
8 57
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
Z 4
28.6%
E 2
14.3%
N 2
14.3%
O 2
14.3%
L 1
 
7.1%
J 1
 
7.1%
S 1
 
7.1%
M 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 206
99.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4364
59.3%
Common 2984
40.5%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 342
 
7.8%
금 340
 
7.8%
산 313
 
7.2%
구 313
 
7.2%
동 274
 
6.3%
정 270
 
6.2%
시 249
 
5.7%
역 242
 
5.5%
로 242
 
5.5%
광 242
 
5.5%
Other values (173) 1537
35.2%
Common
ValueCountFrequency (%)
1220
40.9%
( 241
 
8.1%
) 241
 
8.1%
1 210
 
7.0%
, 206
 
6.9%
2 176
 
5.9%
3 115
 
3.9%
4 100
 
3.4%
5 87
 
2.9%
9 83
 
2.8%
Other values (7) 305
 
10.2%
Latin
ValueCountFrequency (%)
Z 4
28.6%
E 2
14.3%
N 2
14.3%
O 2
14.3%
L 1
 
7.1%
J 1
 
7.1%
S 1
 
7.1%
M 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4364
59.3%
ASCII 2998
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1220
40.7%
( 241
 
8.0%
) 241
 
8.0%
1 210
 
7.0%
, 206
 
6.9%
2 176
 
5.9%
3 115
 
3.8%
4 100
 
3.3%
5 87
 
2.9%
9 83
 
2.8%
Other values (15) 319
 
10.6%
Hangul
ValueCountFrequency (%)
부 342
 
7.8%
금 340
 
7.8%
산 313
 
7.2%
구 313
 
7.2%
동 274
 
6.3%
정 270
 
6.2%
시 249
 
5.7%
역 242
 
5.5%
로 242
 
5.5%
광 242
 
5.5%
Other values (173) 1537
35.2%

시설전화번호
Text

MISSING 

Distinct201
Distinct (%)94.4%
Missing28
Missing (%)11.6%
Memory size2.0 KiB
2023-12-11T02:01:04.109268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.314554
Min length12

Characters and Unicode

Total characters2623
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

Unique191 ?
Unique (%)89.7%

Sample

1st row051-514-9007
2nd row051-582-2569
3rd row051-711-6016
4th row051-711-4585
5th row051-523-7537
ValueCountFrequency (%)
051-516-7766 3
 
1.4%
051-582-6565 3
 
1.4%
051-506-6078 2
 
0.9%
051-510-3749 2
 
0.9%
051-514-5050 2
 
0.9%
051-515-0703 2
 
0.9%
0507-1387-4009 2
 
0.9%
051-582-1600 2
 
0.9%
051-515-1331 2
 
0.9%
051-583-7781 2
 
0.9%
Other values (191) 191
89.7%
2023-12-11T02:01:04.845769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 487
18.6%
- 426
16.2%
1 408
15.6%
0 403
15.4%
7 168
 
6.4%
8 144
 
5.5%
3 136
 
5.2%
2 126
 
4.8%
9 112
 
4.3%
6 111
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2197
83.8%
Dash Punctuation 426
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 487
22.2%
1 408
18.6%
0 403
18.3%
7 168
 
7.6%
8 144
 
6.6%
3 136
 
6.2%
2 126
 
5.7%
9 112
 
5.1%
6 111
 
5.1%
4 102
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2623
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 487
18.6%
- 426
16.2%
1 408
15.6%
0 403
15.4%
7 168
 
6.4%
8 144
 
5.5%
3 136
 
5.2%
2 126
 
4.8%
9 112
 
4.3%
6 111
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2623
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 487
18.6%
- 426
16.2%
1 408
15.6%
0 403
15.4%
7 168
 
6.4%
8 144
 
5.5%
3 136
 
5.2%
2 126
 
4.8%
9 112
 
4.3%
6 111
 
4.2%

Missing values

2023-12-11T02:01:00.729466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:00.870910image/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

업종상호시설주소시설전화번호
0수영장업스타키즈 수영장부산광역시 금정구 부곡로 140 (부곡동)051-514-9007
1수영장업점프키즈센터부산광역시 금정구 금샘로 561-1 (남산동)051-582-2569
2수영장업펀펀짐 어린이 수영장부산광역시 금정구 금강로 231, Z-ZONE (장전동)051-711-6016
3수영장업아쿠아베이 어린이 수영장부산광역시 금정구 금정로 244, 선국빌딩 7층 (구서동)051-711-4585
4체육도장업베스트명성체육관부산광역시 금정구 서부로16번길 6 (서동)051-523-7537
5체육도장업유성태권도부산광역시 금정구 부산대학로64번길 142 (장전동)051-512-8889
6체육도장업정인체육관부산광역시 금정구 금강로 644 (남산동)051-581-6890
7체육도장업힘찬 태권도부산광역시 금정구 금강로 492, 우솔빌딩 3층 (구서동)051-582-4521
8체육도장업우수체육관부산광역시 금정구 금강로391번길 16 (구서동)051-582-9370
9체육도장업금샘태권도장부산광역시 금정구 중앙대로1929번길 20 (구서동)051-513-6664
업종상호시설주소시설전화번호
231가상체험 체육시설업우창골프금정부산광역시 금정구 금샘로 478, 조은골프연습장 (남산동)051-515-0703
232가상체험 체육시설업골프존파크 골든힐스부산광역시 금정구 금샘로 544 (남산동)051-517-2335
233체육교습업구서파워점핑줄넘기클럽부산광역시 금정구 금강로 539, 2층 (구서동)0507-1322-9812
234체육교습업부산 플러즈 FC부산광역시 금정구 두구로51번길 38-11 (두구동)0507-1432-1499
235체육교습업클린샷코퍼레이션부산광역시 금정구 서금로 37-14 (서동)051-524-0134
236체육교습업나인베이스볼부산광역시 금정구 중앙대로1719번길 47, 골든웨딩프라자예식장 5층 (부곡동)051-516-1929
237체육교습업STS 아카데미부산광역시 금정구 오시게로12번길 23, 지하1층 (부곡동)<NA>
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