Overview

Dataset statistics

Number of variables5
Number of observations576
Missing cells196
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시부산진구유흥단란주점현황_20221018
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025547

Alerts

소재지(도로명) has 7 (1.2%) missing valuesMissing
소재지전화 has 189 (32.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:22:57.581194
Analysis finished2023-12-10 16:22:58.413252
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
유흥주점영업
380 
단란주점
196 

Length

Max length6
Median length6
Mean length5.3194444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 380
66.0%
단란주점 196
34.0%

Length

2023-12-11T01:22:58.503777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:22:58.629708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 380
66.0%
단란주점 196
34.0%

업소명
Text

Distinct538
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T01:22:59.010112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length4.7899306
Min length1

Characters and Unicode

Total characters2759
Distinct characters433
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique505 ?
Unique (%)87.7%

Sample

1st row운동회노래주점
2nd row록원가요방
3rd row비타민 포장센타
4th row동경
5th row모아
ValueCountFrequency (%)
노래주점 6
 
1.0%
노래방 5
 
0.8%
황제 4
 
0.7%
오페라 4
 
0.7%
라이브 3
 
0.5%
비행기 3
 
0.5%
설탕 3
 
0.5%
필 3
 
0.5%
단란주점 2
 
0.3%
불꽃노래주점 2
 
0.3%
Other values (546) 580
94.3%
2023-12-11T01:22:59.676193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 179
 
6.5%
노 169
 
6.1%
래 167
 
6.1%
점 163
 
5.9%
라 62
 
2.2%
이 56
 
2.0%
스 49
 
1.8%
타 44
 
1.6%
39
 
1.4%
오 32
 
1.2%
Other values (423) 1799
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2493
90.4%
Decimal Number 94
 
3.4%
Lowercase Letter 42
 
1.5%
Space Separator 39
 
1.4%
Uppercase Letter 39
 
1.4%
Close Punctuation 20
 
0.7%
Open Punctuation 20
 
0.7%
Other Punctuation 11
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 179
 
7.2%
노 169
 
6.8%
래 167
 
6.7%
점 163
 
6.5%
라 62
 
2.5%
이 56
 
2.2%
스 49
 
2.0%
타 44
 
1.8%
오 32
 
1.3%
방 29
 
1.2%
Other values (370) 1543
61.9%
Lowercase Letter
ValueCountFrequency (%)
n 5
11.9%
i 5
11.9%
a 4
 
9.5%
r 3
 
7.1%
l 3
 
7.1%
e 3
 
7.1%
o 3
 
7.1%
s 2
 
4.8%
v 2
 
4.8%
d 2
 
4.8%
Other values (9) 10
23.8%
Uppercase Letter
ValueCountFrequency (%)
G 6
15.4%
T 5
12.8%
O 4
10.3%
L 3
 
7.7%
M 3
 
7.7%
E 2
 
5.1%
K 2
 
5.1%
I 2
 
5.1%
N 2
 
5.1%
C 2
 
5.1%
Other values (6) 8
20.5%
Decimal Number
ValueCountFrequency (%)
0 27
28.7%
7 19
20.2%
8 13
13.8%
2 11
11.7%
4 7
 
7.4%
1 6
 
6.4%
9 4
 
4.3%
3 4
 
4.3%
5 2
 
2.1%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
, 2
 
18.2%
' 1
 
9.1%
! 1
 
9.1%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2492
90.3%
Common 185
 
6.7%
Latin 81
 
2.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 179
 
7.2%
노 169
 
6.8%
래 167
 
6.7%
점 163
 
6.5%
라 62
 
2.5%
이 56
 
2.2%
스 49
 
2.0%
타 44
 
1.8%
오 32
 
1.3%
방 29
 
1.2%
Other values (369) 1542
61.9%
Latin
ValueCountFrequency (%)
G 6
 
7.4%
T 5
 
6.2%
n 5
 
6.2%
i 5
 
6.2%
a 4
 
4.9%
O 4
 
4.9%
r 3
 
3.7%
l 3
 
3.7%
L 3
 
3.7%
e 3
 
3.7%
Other values (25) 40
49.4%
Common
ValueCountFrequency (%)
39
21.1%
0 27
14.6%
) 20
10.8%
( 20
10.8%
7 19
10.3%
8 13
 
7.0%
2 11
 
5.9%
. 7
 
3.8%
4 7
 
3.8%
1 6
 
3.2%
Other values (8) 16
8.6%
Han
ValueCountFrequency (%)
女 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2492
90.3%
ASCII 266
 
9.6%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 179
 
7.2%
노 169
 
6.8%
래 167
 
6.7%
점 163
 
6.5%
라 62
 
2.5%
이 56
 
2.2%
스 49
 
2.0%
타 44
 
1.8%
오 32
 
1.3%
방 29
 
1.2%
Other values (369) 1542
61.9%
ASCII
ValueCountFrequency (%)
39
14.7%
0 27
 
10.2%
) 20
 
7.5%
( 20
 
7.5%
7 19
 
7.1%
8 13
 
4.9%
2 11
 
4.1%
. 7
 
2.6%
4 7
 
2.6%
1 6
 
2.3%
Other values (43) 97
36.5%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct533
Distinct (%)93.7%
Missing7
Missing (%)1.2%
Memory size4.6 KiB
2023-12-11T01:23:00.202859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39
Mean length30.181019
Min length22

Characters and Unicode

Total characters17173
Distinct characters115
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)87.9%

Sample

1st row부산광역시 부산진구 부전로20번길 14 (부전동,,21 (2층))
2nd row부산광역시 부산진구 서면문화로5번길 3 (부전동)
3rd row부산광역시 부산진구 새싹로8번길 29 (부전동)
4th row부산광역시 부산진구 서면문화로 7, 지하1층 (부전동)
5th row부산광역시 부산진구 부전로152번길 37, 지하1층 (부전동)
ValueCountFrequency (%)
부산광역시 569
18.4%
부산진구 569
18.4%
부전동 320
 
10.3%
지하1층 92
 
3.0%
서면로 60
 
1.9%
2층 42
 
1.4%
서면문화로 34
 
1.1%
범천동 30
 
1.0%
부전로96번길 29
 
0.9%
새싹로 29
 
0.9%
Other values (404) 1326
42.8%
2023-12-11T01:23:00.845618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2531
 
14.7%
부 1656
 
9.6%
산 1139
 
6.6%
( 657
 
3.8%
) 657
 
3.8%
동 610
 
3.6%
광 571
 
3.3%
진 571
 
3.3%
역 570
 
3.3%
구 570
 
3.3%
Other values (105) 7641
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10394
60.5%
Space Separator 2531
 
14.7%
Decimal Number 2439
 
14.2%
Open Punctuation 658
 
3.8%
Close Punctuation 658
 
3.8%
Other Punctuation 364
 
2.1%
Dash Punctuation 127
 
0.7%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1656
15.9%
산 1139
 
11.0%
동 610
 
5.9%
광 571
 
5.5%
진 571
 
5.5%
역 570
 
5.5%
구 570
 
5.5%
시 569
 
5.5%
로 561
 
5.4%
전 542
 
5.2%
Other values (85) 3035
29.2%
Decimal Number
ValueCountFrequency (%)
1 567
23.2%
2 408
16.7%
3 232
9.5%
6 230
9.4%
4 203
 
8.3%
9 200
 
8.2%
5 171
 
7.0%
8 149
 
6.1%
0 147
 
6.0%
7 132
 
5.4%
Open Punctuation
ValueCountFrequency (%)
( 657
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 657
99.8%
] 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 361
99.2%
. 3
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
2531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10394
60.5%
Common 6779
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1656
15.9%
산 1139
 
11.0%
동 610
 
5.9%
광 571
 
5.5%
진 571
 
5.5%
역 570
 
5.5%
구 570
 
5.5%
시 569
 
5.5%
로 561
 
5.4%
전 542
 
5.2%
Other values (85) 3035
29.2%
Common
ValueCountFrequency (%)
2531
37.3%
( 657
 
9.7%
) 657
 
9.7%
1 567
 
8.4%
2 408
 
6.0%
, 361
 
5.3%
3 232
 
3.4%
6 230
 
3.4%
4 203
 
3.0%
9 200
 
3.0%
Other values (10) 733
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10394
60.5%
ASCII 6779
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2531
37.3%
( 657
 
9.7%
) 657
 
9.7%
1 567
 
8.4%
2 408
 
6.0%
, 361
 
5.3%
3 232
 
3.4%
6 230
 
3.4%
4 203
 
3.0%
9 200
 
3.0%
Other values (10) 733
 
10.8%
Hangul
ValueCountFrequency (%)
부 1656
15.9%
산 1139
 
11.0%
동 610
 
5.9%
광 571
 
5.5%
진 571
 
5.5%
역 570
 
5.5%
구 570
 
5.5%
시 569
 
5.5%
로 561
 
5.4%
전 542
 
5.2%
Other values (85) 3035
29.2%

소재지(지번)
Text

Distinct528
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-11T01:23:01.286759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length24.407986
Min length19

Characters and Unicode

Total characters14059
Distinct characters92
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique486 ?
Unique (%)84.4%

Sample

1st row부산광역시 부산진구 부전동 522-24 ,21 (2층)
2nd row부산광역시 부산진구 부전동 486-22
3rd row부산광역시 부산진구 부전동 263-25
4th row부산광역시 부산진구 부전동 475-1
5th row부산광역시 부산진구 부전동 351-15 지하1층
ValueCountFrequency (%)
부산광역시 576
22.2%
부산진구 576
22.2%
부전동 405
15.6%
지하1층 95
 
3.7%
범천동 43
 
1.7%
2층 38
 
1.5%
양정동 32
 
1.2%
개금동 26
 
1.0%
전포동 20
 
0.8%
당감동 19
 
0.7%
Other values (520) 759
29.3%
2023-12-11T01:23:01.899152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2589
18.4%
부 1590
 
11.3%
산 1154
 
8.2%
1 580
 
4.1%
동 580
 
4.1%
광 578
 
4.1%
진 578
 
4.1%
역 577
 
4.1%
구 577
 
4.1%
시 576
 
4.1%
Other values (82) 4680
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7648
54.4%
Decimal Number 2976
 
21.2%
Space Separator 2589
 
18.4%
Dash Punctuation 575
 
4.1%
Open Punctuation 119
 
0.8%
Close Punctuation 119
 
0.8%
Other Punctuation 31
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1590
20.8%
산 1154
15.1%
동 580
 
7.6%
광 578
 
7.6%
진 578
 
7.6%
역 577
 
7.5%
구 577
 
7.5%
시 576
 
7.5%
전 434
 
5.7%
층 222
 
2.9%
Other values (62) 782
10.2%
Decimal Number
ValueCountFrequency (%)
1 580
19.5%
2 553
18.6%
5 347
11.7%
4 329
11.1%
3 310
10.4%
7 218
 
7.3%
6 188
 
6.3%
8 155
 
5.2%
9 151
 
5.1%
0 145
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 118
99.2%
[ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 118
99.2%
] 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 28
90.3%
. 3
 
9.7%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
2589
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7648
54.4%
Common 6411
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1590
20.8%
산 1154
15.1%
동 580
 
7.6%
광 578
 
7.6%
진 578
 
7.6%
역 577
 
7.5%
구 577
 
7.5%
시 576
 
7.5%
전 434
 
5.7%
층 222
 
2.9%
Other values (62) 782
10.2%
Common
ValueCountFrequency (%)
2589
40.4%
1 580
 
9.0%
- 575
 
9.0%
2 553
 
8.6%
5 347
 
5.4%
4 329
 
5.1%
3 310
 
4.8%
7 218
 
3.4%
6 188
 
2.9%
8 155
 
2.4%
Other values (10) 567
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7648
54.4%
ASCII 6411
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2589
40.4%
1 580
 
9.0%
- 575
 
9.0%
2 553
 
8.6%
5 347
 
5.4%
4 329
 
5.1%
3 310
 
4.8%
7 218
 
3.4%
6 188
 
2.9%
8 155
 
2.4%
Other values (10) 567
 
8.8%
Hangul
ValueCountFrequency (%)
부 1590
20.8%
산 1154
15.1%
동 580
 
7.6%
광 578
 
7.6%
진 578
 
7.6%
역 577
 
7.5%
구 577
 
7.5%
시 576
 
7.5%
전 434
 
5.7%
층 222
 
2.9%
Other values (62) 782
10.2%

소재지전화
Text

MISSING 

Distinct385
Distinct (%)99.5%
Missing189
Missing (%)32.8%
Memory size4.6 KiB
2023-12-11T01:23:02.233130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.997416
Min length13

Characters and Unicode

Total characters5417
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

Unique383 ?
Unique (%)99.0%

Sample

1st row051 -819 -8861
2nd row 051- 818-6852
3rd row 051- 818-6777
4th row 051- 805-8212
5th row 051- 808-3339
ValueCountFrequency (%)
051 377
42.4%
805 12
 
1.3%
802 10
 
1.1%
817 9
 
1.0%
808 8
 
0.9%
818 8
 
0.9%
807 8
 
0.9%
809 6
 
0.7%
806 6
 
0.7%
819 6
 
0.7%
Other values (412) 440
49.4%
2023-12-11T01:23:02.683227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 777
14.3%
- 774
14.3%
767
14.2%
1 641
11.8%
8 615
11.4%
5 594
11.0%
6 239
 
4.4%
9 229
 
4.2%
7 222
 
4.1%
2 200
 
3.7%
Other values (2) 359
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3876
71.6%
Dash Punctuation 774
 
14.3%
Space Separator 767
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 777
20.0%
1 641
16.5%
8 615
15.9%
5 594
15.3%
6 239
 
6.2%
9 229
 
5.9%
7 222
 
5.7%
2 200
 
5.2%
4 182
 
4.7%
3 177
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 774
100.0%
Space Separator
ValueCountFrequency (%)
767
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 777
14.3%
- 774
14.3%
767
14.2%
1 641
11.8%
8 615
11.4%
5 594
11.0%
6 239
 
4.4%
9 229
 
4.2%
7 222
 
4.1%
2 200
 
3.7%
Other values (2) 359
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 777
14.3%
- 774
14.3%
767
14.2%
1 641
11.8%
8 615
11.4%
5 594
11.0%
6 239
 
4.4%
9 229
 
4.2%
7 222
 
4.1%
2 200
 
3.7%
Other values (2) 359
6.6%

Missing values

2023-12-11T01:22:58.114611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:22:58.243624image/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.
2023-12-11T01:22:58.359698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업소명소재지(도로명)소재지(지번)소재지전화
0유흥주점영업운동회노래주점부산광역시 부산진구 부전로20번길 14 (부전동,,21 (2층))부산광역시 부산진구 부전동 522-24 ,21 (2층)051 -819 -8861
1유흥주점영업록원가요방부산광역시 부산진구 서면문화로5번길 3 (부전동)부산광역시 부산진구 부전동 486-22051- 818-6852
2유흥주점영업비타민 포장센타부산광역시 부산진구 새싹로8번길 29 (부전동)부산광역시 부산진구 부전동 263-25051- 818-6777
3유흥주점영업동경부산광역시 부산진구 서면문화로 7, 지하1층 (부전동)부산광역시 부산진구 부전동 475-1051- 805-8212
4유흥주점영업모아부산광역시 부산진구 부전로152번길 37, 지하1층 (부전동)부산광역시 부산진구 부전동 351-15 지하1층051- 808-3339
5유흥주점영업범냇골 포장센타부산광역시 부산진구 중앙대로 611 (범천동)부산광역시 부산진구 범천동 870-21051- 642-4784
6유흥주점영업밀크보이부산광역시 부산진구 중앙대로691번길 5 (부전동)부산광역시 부산진구 부전동 241-38051- 803-9200
7유흥주점영업땡큐부산광역시 부산진구 골드테마길 34, 지하1층 (범천동)부산광역시 부산진구 범천동 845-9 (지하1층)051 -638 -0693
8유흥주점영업금호노래주점부산광역시 부산진구 서면문화로5번길 20 (부전동)부산광역시 부산진구 부전동 475-21051 -807 -9222
9유흥주점영업한가락노래주점부산광역시 부산진구 서전로9번길 18 (부전동)부산광역시 부산진구 부전동 117-3051- 809-7912
업종명업소명소재지(도로명)소재지(지번)소재지전화
566단란주점크리스탈부산광역시 부산진구 중앙대로909번길 35 (양정동)부산광역시 부산진구 양정동 389-2<NA>
567단란주점유정 단란주점부산광역시 부산진구 신암로135번길 6 (범천동)부산광역시 부산진구 범천동 1144-25<NA>
568단란주점방글이부산광역시 부산진구 동평로 107 (부암동, 지하1층전체)부산광역시 부산진구 부암동 346-15 지하1층전체051 -807 -9693
569단란주점산울림부산광역시 부산진구 신천대로62번길 44, 8층 (부전동)부산광역시 부산진구 부전동 232-16 지상8층일부051- 809-8876
570단란주점미술부산광역시 부산진구 중앙대로691번길 28-1, 지상1층 (부전동)부산광역시 부산진구 부전동 517-54 지상1층051 -818 -8520
571단란주점골드바부산광역시 부산진구 서면로 23, 지상3층 (부전동)부산광역시 부산진구 부전동 522-5<NA>
572단란주점송학오케이노래주점부산광역시 부산진구 가야대로703번길 22, 지하 1층 (당감동)부산광역시 부산진구 당감동 70-6<NA>
573단란주점우정라이브부산광역시 부산진구 황령대로74번길 35, 지상2층 (전포동)부산광역시 부산진구 전포동 379-11051- 807-1211
574단란주점킹부산광역시 부산진구 부전로 34, 1층 (부전동)부산광역시 부산진구 부전동 524-5 황제주차빌딩<NA>
575단란주점추억속으로부산광역시 부산진구 부전로96번길 44, 1층 (부전동)부산광역시 부산진구 부전동 475-22<NA>