Overview

Dataset statistics

Number of variables5
Number of observations392
Missing cells169
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시해운대구_신고체육시설업현황_20211121
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075744

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연락처 has 169 (43.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:04:11.831809
Analysis finished2023-12-10 17:04:12.811469
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.5
Minimum1
Maximum392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T02:04:12.949190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.55
Q198.75
median196.5
Q3294.25
95-th percentile372.45
Maximum392
Range391
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation113.3049
Coefficient of variation (CV)0.57661526
Kurtosis-1.2
Mean196.5
Median Absolute Deviation (MAD)98
Skewness0
Sum77028
Variance12838
MonotonicityStrictly increasing
2023-12-11T02:04:13.235070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
271 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
Other values (382) 382
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%

업종
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
체력단련장업
118 
체육도장업
103 
골프연습장업
63 
당구장업
61 
가상체험 체육시설업
28 
Other values (4)
19 

Length

Max length10
Median length7
Mean length5.6505102
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 118
30.1%
체육도장업 103
26.3%
골프연습장업 63
16.1%
당구장업 61
15.6%
가상체험 체육시설업 28
 
7.1%
수영장업 10
 
2.6%
체육교습업 5
 
1.3%
종합체육시설업 3
 
0.8%
빙상장업 1
 
0.3%

Length

2023-12-11T02:04:13.496466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:04:13.724526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 118
28.1%
체육도장업 103
24.5%
골프연습장업 63
15.0%
당구장업 61
14.5%
가상체험 28
 
6.7%
체육시설업 28
 
6.7%
수영장업 10
 
2.4%
체육교습업 5
 
1.2%
종합체육시설업 3
 
0.7%
빙상장업 1
 
0.2%

상호명
Text

Distinct387
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T02:04:14.206131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.4209184
Min length2

Characters and Unicode

Total characters3301
Distinct characters366
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique382 ?
Unique (%)97.4%

Sample

1st row(주)파라다이스호텔부산신관수영장(실외)
2nd row아이 올림픽
3rd row(주)조선호텔앤리조트 부산 수영장
4th row트리니티스포츠클럽&스파
5th row코오롱씨클라우드호텔수영장(실외)
ValueCountFrequency (%)
태권도 18
 
2.7%
당구장 16
 
2.4%
피트니스 14
 
2.1%
당구클럽 13
 
1.9%
휘트니스 12
 
1.8%
골프 11
 
1.6%
스크린 9
 
1.3%
스크린골프 7
 
1.0%
부산 7
 
1.0%
해운대 6
 
0.9%
Other values (483) 555
83.1%
2023-12-11T02:04:14.939945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
8.4%
스 183
 
5.5%
프 93
 
2.8%
골 83
 
2.5%
장 81
 
2.5%
트 72
 
2.2%
구 65
 
2.0%
도 64
 
1.9%
당 60
 
1.8%
니 53
 
1.6%
Other values (356) 2271
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2653
80.4%
Space Separator 276
 
8.4%
Uppercase Letter 205
 
6.2%
Lowercase Letter 62
 
1.9%
Close Punctuation 29
 
0.9%
Open Punctuation 29
 
0.9%
Decimal Number 24
 
0.7%
Other Punctuation 23
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 183
 
6.9%
프 93
 
3.5%
골 83
 
3.1%
장 81
 
3.1%
트 72
 
2.7%
구 65
 
2.5%
도 64
 
2.4%
당 60
 
2.3%
니 53
 
2.0%
태 51
 
1.9%
Other values (300) 1848
69.7%
Uppercase Letter
ValueCountFrequency (%)
T 21
 
10.2%
G 20
 
9.8%
M 17
 
8.3%
O 14
 
6.8%
A 12
 
5.9%
S 11
 
5.4%
B 10
 
4.9%
P 9
 
4.4%
I 9
 
4.4%
C 9
 
4.4%
Other values (14) 73
35.6%
Lowercase Letter
ValueCountFrequency (%)
m 8
12.9%
i 8
12.9%
y 5
8.1%
o 5
8.1%
e 5
8.1%
s 4
 
6.5%
n 4
 
6.5%
a 4
 
6.5%
r 4
 
6.5%
l 4
 
6.5%
Other values (8) 11
17.7%
Decimal Number
ValueCountFrequency (%)
2 8
33.3%
1 7
29.2%
4 3
 
12.5%
9 3
 
12.5%
0 2
 
8.3%
8 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 10
43.5%
. 8
34.8%
, 3
 
13.0%
· 1
 
4.3%
: 1
 
4.3%
Space Separator
ValueCountFrequency (%)
276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2653
80.4%
Common 381
 
11.5%
Latin 267
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 183
 
6.9%
프 93
 
3.5%
골 83
 
3.1%
장 81
 
3.1%
트 72
 
2.7%
구 65
 
2.5%
도 64
 
2.4%
당 60
 
2.3%
니 53
 
2.0%
태 51
 
1.9%
Other values (300) 1848
69.7%
Latin
ValueCountFrequency (%)
T 21
 
7.9%
G 20
 
7.5%
M 17
 
6.4%
O 14
 
5.2%
A 12
 
4.5%
S 11
 
4.1%
B 10
 
3.7%
P 9
 
3.4%
I 9
 
3.4%
C 9
 
3.4%
Other values (32) 135
50.6%
Common
ValueCountFrequency (%)
276
72.4%
) 29
 
7.6%
( 29
 
7.6%
& 10
 
2.6%
. 8
 
2.1%
2 8
 
2.1%
1 7
 
1.8%
, 3
 
0.8%
4 3
 
0.8%
9 3
 
0.8%
Other values (4) 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2653
80.4%
ASCII 647
 
19.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
42.7%
) 29
 
4.5%
( 29
 
4.5%
T 21
 
3.2%
G 20
 
3.1%
M 17
 
2.6%
O 14
 
2.2%
A 12
 
1.9%
S 11
 
1.7%
B 10
 
1.5%
Other values (45) 208
32.1%
Hangul
ValueCountFrequency (%)
스 183
 
6.9%
프 93
 
3.5%
골 83
 
3.1%
장 81
 
3.1%
트 72
 
2.7%
구 65
 
2.5%
도 64
 
2.4%
당 60
 
2.3%
니 53
 
2.0%
태 51
 
1.9%
Other values (300) 1848
69.7%
None
ValueCountFrequency (%)
· 1
100.0%

소재지
Text

Distinct386
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T02:04:15.449620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45
Mean length34.237245
Min length22

Characters and Unicode

Total characters13421
Distinct characters247
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)97.2%

Sample

1st row부산광역시 해운대구 해운대해변로 296 (중동)
2nd row부산광역시 해운대구 재반로125번길 63 (재송동)
3rd row부산광역시 해운대구 동백로 67 (우동)
4th row부산광역시 해운대구 센텀남대로 35 (우동)
5th row부산광역시 해운대구 해운대해변로 287, 4층 (중동)
ValueCountFrequency (%)
부산광역시 392
 
15.7%
해운대구 392
 
15.7%
우동 93
 
3.7%
좌동 80
 
3.2%
반여동 57
 
2.3%
재송동 49
 
2.0%
중동 46
 
1.8%
3층 42
 
1.7%
2층 37
 
1.5%
재반로 30
 
1.2%
Other values (615) 1285
51.3%
2023-12-11T02:04:16.204064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2138
 
15.9%
동 522
 
3.9%
대 504
 
3.8%
운 486
 
3.6%
해 482
 
3.6%
시 453
 
3.4%
, 438
 
3.3%
1 437
 
3.3%
산 413
 
3.1%
부 398
 
3.0%
Other values (237) 7150
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7898
58.8%
Space Separator 2138
 
15.9%
Decimal Number 2028
 
15.1%
Other Punctuation 442
 
3.3%
Open Punctuation 396
 
3.0%
Close Punctuation 396
 
3.0%
Dash Punctuation 57
 
0.4%
Uppercase Letter 51
 
0.4%
Math Symbol 11
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 522
 
6.6%
대 504
 
6.4%
운 486
 
6.2%
해 482
 
6.1%
시 453
 
5.7%
산 413
 
5.2%
부 398
 
5.0%
구 396
 
5.0%
광 394
 
5.0%
역 392
 
5.0%
Other values (201) 3458
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 20
39.2%
C 7
 
13.7%
S 4
 
7.8%
A 4
 
7.8%
N 3
 
5.9%
I 2
 
3.9%
K 2
 
3.9%
P 2
 
3.9%
E 2
 
3.9%
F 1
 
2.0%
Other values (4) 4
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 437
21.5%
2 334
16.5%
3 270
13.3%
0 251
12.4%
4 171
 
8.4%
5 140
 
6.9%
6 130
 
6.4%
7 114
 
5.6%
8 104
 
5.1%
9 77
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
x 1
25.0%
y 1
25.0%
c 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 438
99.1%
@ 3
 
0.7%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7898
58.8%
Common 5468
40.7%
Latin 55
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 522
 
6.6%
대 504
 
6.4%
운 486
 
6.2%
해 482
 
6.1%
시 453
 
5.7%
산 413
 
5.2%
부 398
 
5.0%
구 396
 
5.0%
광 394
 
5.0%
역 392
 
5.0%
Other values (201) 3458
43.8%
Common
ValueCountFrequency (%)
2138
39.1%
, 438
 
8.0%
1 437
 
8.0%
( 396
 
7.2%
) 396
 
7.2%
2 334
 
6.1%
3 270
 
4.9%
0 251
 
4.6%
4 171
 
3.1%
5 140
 
2.6%
Other values (8) 497
 
9.1%
Latin
ValueCountFrequency (%)
B 20
36.4%
C 7
 
12.7%
S 4
 
7.3%
A 4
 
7.3%
N 3
 
5.5%
I 2
 
3.6%
K 2
 
3.6%
P 2
 
3.6%
E 2
 
3.6%
F 1
 
1.8%
Other values (8) 8
 
14.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7898
58.8%
ASCII 5523
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2138
38.7%
, 438
 
7.9%
1 437
 
7.9%
( 396
 
7.2%
) 396
 
7.2%
2 334
 
6.0%
3 270
 
4.9%
0 251
 
4.5%
4 171
 
3.1%
5 140
 
2.5%
Other values (26) 552
 
10.0%
Hangul
ValueCountFrequency (%)
동 522
 
6.6%
대 504
 
6.4%
운 486
 
6.2%
해 482
 
6.1%
시 453
 
5.7%
산 413
 
5.2%
부 398
 
5.0%
구 396
 
5.0%
광 394
 
5.0%
역 392
 
5.0%
Other values (201) 3458
43.8%

연락처
Text

MISSING 

Distinct214
Distinct (%)96.0%
Missing169
Missing (%)43.1%
Memory size3.2 KiB
2023-12-11T02:04:16.564000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.008969
Min length12

Characters and Unicode

Total characters2678
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)92.8%

Sample

1st row051-749-2613
2nd row051-747-7783
3rd row051-749-7000
4th row051-745-1900
5th row051-933-1441
ValueCountFrequency (%)
051-749-2613 4
 
1.8%
051-744-0753 2
 
0.9%
051-703-1138 2
 
0.9%
051-664-6650 2
 
0.9%
051-747-1145 2
 
0.9%
051-745-1900 2
 
0.9%
051-744-8900 2
 
0.9%
051-782-5500 1
 
0.4%
051-720-9001 1
 
0.4%
051-781-7196 1
 
0.4%
Other values (204) 204
91.5%
2023-12-11T02:04:17.208054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 446
16.7%
0 421
15.7%
1 388
14.5%
5 373
13.9%
7 283
10.6%
4 191
7.1%
2 146
 
5.5%
3 138
 
5.2%
8 113
 
4.2%
6 103
 
3.8%
Other values (2) 76
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2231
83.3%
Dash Punctuation 446
 
16.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 421
18.9%
1 388
17.4%
5 373
16.7%
7 283
12.7%
4 191
8.6%
2 146
 
6.5%
3 138
 
6.2%
8 113
 
5.1%
6 103
 
4.6%
9 75
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 446
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2678
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 446
16.7%
0 421
15.7%
1 388
14.5%
5 373
13.9%
7 283
10.6%
4 191
7.1%
2 146
 
5.5%
3 138
 
5.2%
8 113
 
4.2%
6 103
 
3.8%
Other values (2) 76
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 446
16.7%
0 421
15.7%
1 388
14.5%
5 373
13.9%
7 283
10.6%
4 191
7.1%
2 146
 
5.5%
3 138
 
5.2%
8 113
 
4.2%
6 103
 
3.8%
Other values (2) 76
 
2.8%

Interactions

2023-12-11T02:04:12.408825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:04:17.381613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.874
업종0.8741.000
2023-12-11T02:04:17.527173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.647
업종0.6471.000

Missing values

2023-12-11T02:04:12.617800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:04:12.748867image/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

연번업종상호명소재지연락처
01수영장업(주)파라다이스호텔부산신관수영장(실외)부산광역시 해운대구 해운대해변로 296 (중동)051-749-2613
12수영장업아이 올림픽부산광역시 해운대구 재반로125번길 63 (재송동)051-747-7783
23수영장업(주)조선호텔앤리조트 부산 수영장부산광역시 해운대구 동백로 67 (우동)051-749-7000
34수영장업트리니티스포츠클럽&스파부산광역시 해운대구 센텀남대로 35 (우동)051-745-1900
45수영장업코오롱씨클라우드호텔수영장(실외)부산광역시 해운대구 해운대해변로 287, 4층 (중동)051-933-1441
56수영장업유앤유 키즈 수영장부산광역시 해운대구 해운대해변로 371 (중동)<NA>
67수영장업J&P 수영장부산광역시 해운대구 세실로 87, 영진파스타 B-101호 (좌동)051-703-7078
78수영장업신라스테이 해운대호텔부산광역시 해운대구 해운대로570번길 46 (우동)051-911-9386
89수영장업The 스포츠센터부산광역시 해운대구 선수촌로 122, 지하호 (반여동, 아시아선수촌아파트)051-521-7100
910수영장업제이앤피수영장(마린센텀점)부산광역시 해운대구 센텀2로 10, 센텀메디컬센타 지하층 제이비이02호 (우동)051-747-2005
연번업종상호명소재지연락처
382383가상체험 체육시설업골프존파크 재송미진스크린점부산광역시 해운대구 재반로 176, 4층 401호 (재송동)<NA>
383384가상체험 체육시설업W골프스튜디오부산광역시 해운대구 마린시티3로 37, 한일오르듀 314, 314-1호 (우동)<NA>
384385가상체험 체육시설업해운대 행복골프훈련소부산광역시 해운대구 해운대로 643, 장산빌딩 1층 (우동)051-744-0720
385386가상체험 체육시설업프렌즈스크린 장산점부산광역시 해운대구 해운대로 793, 해운대자생한방병원 지하층 102호 (좌동)<NA>
386387가상체험 체육시설업제이더블유골프스튜디오부산광역시 해운대구 좌동순환로 395, 110호 (중동)<NA>
387388체육교습업반여 줄친구 점프점프부산광역시 해운대구 반여로 112-1, 산봉빌딩2 3층 (반여동)<NA>
388389체육교습업점프윙스 줄넘기클럽부산광역시 해운대구 반여로 98, 청암빌딩 5층 (반여동)051-525-5333
389390체육교습업펀펀짐 해운대점부산광역시 해운대구 선수촌로 175, 3층 (반여동)051-532-9334
390391체육교습업캐치볼 야구아카데미부산광역시 해운대구 양운로80번길 20, 2층 (좌동)<NA>
391392체육교습업해운대에프씨스킬트레이닝센터부산광역시 해운대구 좌동순환로 11, 뉴대원빌딩 501호 (중동)051-743-2161