Overview

Dataset statistics

Number of variables4
Number of observations233
Missing cells88
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory32.6 B

Variable types

Categorical1
Text3

Dataset

Description해당 자료는 부산광역시 사상구에 위치한 유흥, 단란주점 현황(업종, 업소명, 소재지, 소재지전화번호)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15025667/fileData.do

Alerts

소재지전화 has 88 (37.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:32:20.697488
Analysis finished2023-12-12 20:32:21.138846
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
유흥주점영업
131 
단란주점
102 

Length

Max length6
Median length6
Mean length5.1244635
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 131
56.2%
단란주점 102
43.8%

Length

2023-12-13T05:32:21.226460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:32:21.364679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 131
56.2%
단란주점 102
43.8%

업소명
Text

Distinct231
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T05:32:21.699806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length5
Min length1

Characters and Unicode

Total characters1165
Distinct characters305
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)98.3%

Sample

1st row샛별
2nd row티엠뮤직타운(TM 뮤직타운)
3rd row굿타임 포차클럽
4th row짝 노래방
5th row고운
ValueCountFrequency (%)
노래주점 9
 
3.2%
노래방 4
 
1.4%
궁전 3
 
1.1%
라이브 3
 
1.1%
술마시는 3
 
1.1%
캔디 2
 
0.7%
단란주점 2
 
0.7%
가라오케 2
 
0.7%
술마시는노래방 2
 
0.7%
불 2
 
0.7%
Other values (245) 246
88.5%
2023-12-13T05:32:22.224981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 64
 
5.5%
래 61
 
5.2%
47
 
4.0%
점 47
 
4.0%
주 46
 
3.9%
타 28
 
2.4%
이 27
 
2.3%
라 25
 
2.1%
방 24
 
2.1%
포 19
 
1.6%
Other values (295) 777
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1074
92.2%
Space Separator 47
 
4.0%
Uppercase Letter 13
 
1.1%
Decimal Number 11
 
0.9%
Lowercase Letter 11
 
0.9%
Other Punctuation 4
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 64
 
6.0%
래 61
 
5.7%
점 47
 
4.4%
주 46
 
4.3%
타 28
 
2.6%
이 27
 
2.5%
라 25
 
2.3%
방 24
 
2.2%
포 19
 
1.8%
장 18
 
1.7%
Other values (266) 715
66.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
15.4%
K 2
15.4%
T 2
15.4%
M 1
7.7%
Ι 1
7.7%
B 1
7.7%
V 1
7.7%
P 1
7.7%
I 1
7.7%
E 1
7.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
i 2
18.2%
m 1
9.1%
e 1
9.1%
k 1
9.1%
a 1
9.1%
n 1
9.1%
h 1
9.1%
o 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
7 2
18.2%
2 2
18.2%
8 2
18.2%
4 1
 
9.1%
Space Separator
ValueCountFrequency (%)
47
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1074
92.2%
Common 66
 
5.7%
Latin 24
 
2.1%
Greek 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 64
 
6.0%
래 61
 
5.7%
점 47
 
4.4%
주 46
 
4.3%
타 28
 
2.6%
이 27
 
2.5%
라 25
 
2.3%
방 24
 
2.2%
포 19
 
1.8%
장 18
 
1.7%
Other values (266) 715
66.6%
Latin
ValueCountFrequency (%)
S 2
 
8.3%
r 2
 
8.3%
i 2
 
8.3%
K 2
 
8.3%
T 2
 
8.3%
m 1
 
4.2%
e 1
 
4.2%
k 1
 
4.2%
a 1
 
4.2%
M 1
 
4.2%
Other values (9) 9
37.5%
Common
ValueCountFrequency (%)
47
71.2%
0 4
 
6.1%
. 4
 
6.1%
7 2
 
3.0%
2 2
 
3.0%
8 2
 
3.0%
) 2
 
3.0%
( 2
 
3.0%
4 1
 
1.5%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1074
92.2%
ASCII 89
 
7.6%
None 1
 
0.1%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 64
 
6.0%
래 61
 
5.7%
점 47
 
4.4%
주 46
 
4.3%
타 28
 
2.6%
이 27
 
2.5%
라 25
 
2.3%
방 24
 
2.2%
포 19
 
1.8%
장 18
 
1.7%
Other values (266) 715
66.6%
ASCII
ValueCountFrequency (%)
47
52.8%
0 4
 
4.5%
. 4
 
4.5%
S 2
 
2.2%
r 2
 
2.2%
i 2
 
2.2%
7 2
 
2.2%
K 2
 
2.2%
2 2
 
2.2%
8 2
 
2.2%
Other values (17) 20
22.5%
None
ValueCountFrequency (%)
Ι 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지(도로명)
Text

Distinct193
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T05:32:22.491076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length26.193133
Min length21

Characters and Unicode

Total characters6103
Distinct characters63
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

Unique163 ?
Unique (%)70.0%

Sample

1st row부산광역시 사상구 사상로 179 (괘법동)
2nd row부산광역시 사상구 사상로202번길 16 (괘법동)
3rd row부산광역시 사상구 광장로81번길 75 (괘법동)
4th row부산광역시 사상구 사상로 239 (괘법동)
5th row부산광역시 사상구 사상로 171 (괘법동)
ValueCountFrequency (%)
부산광역시 233
19.2%
사상구 233
19.2%
괘법동 168
13.9%
광장로81번길 50
 
4.1%
사상로 31
 
2.6%
주례동 18
 
1.5%
모라동 17
 
1.4%
2층 17
 
1.4%
사상로202번길 16
 
1.3%
광장로 15
 
1.2%
Other values (192) 414
34.2%
2023-12-13T05:32:22.878365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
979
 
16.0%
상 324
 
5.3%
사 321
 
5.3%
광 311
 
5.1%
동 249
 
4.1%
시 240
 
3.9%
부 233
 
3.8%
역 233
 
3.8%
구 233
 
3.8%
로 233
 
3.8%
Other values (53) 2747
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3674
60.2%
Space Separator 979
 
16.0%
Decimal Number 924
 
15.1%
Close Punctuation 233
 
3.8%
Open Punctuation 233
 
3.8%
Other Punctuation 42
 
0.7%
Dash Punctuation 17
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 324
 
8.8%
사 321
 
8.7%
광 311
 
8.5%
동 249
 
6.8%
시 240
 
6.5%
부 233
 
6.3%
역 233
 
6.3%
구 233
 
6.3%
로 233
 
6.3%
산 233
 
6.3%
Other values (37) 1064
29.0%
Decimal Number
ValueCountFrequency (%)
2 206
22.3%
1 181
19.6%
8 109
11.8%
3 81
 
8.8%
0 78
 
8.4%
7 60
 
6.5%
4 58
 
6.3%
5 55
 
6.0%
9 50
 
5.4%
6 46
 
5.0%
Space Separator
ValueCountFrequency (%)
979
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3674
60.2%
Common 2428
39.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 324
 
8.8%
사 321
 
8.7%
광 311
 
8.5%
동 249
 
6.8%
시 240
 
6.5%
부 233
 
6.3%
역 233
 
6.3%
구 233
 
6.3%
로 233
 
6.3%
산 233
 
6.3%
Other values (37) 1064
29.0%
Common
ValueCountFrequency (%)
979
40.3%
) 233
 
9.6%
( 233
 
9.6%
2 206
 
8.5%
1 181
 
7.5%
8 109
 
4.5%
3 81
 
3.3%
0 78
 
3.2%
7 60
 
2.5%
4 58
 
2.4%
Other values (5) 210
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3674
60.2%
ASCII 2429
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
979
40.3%
) 233
 
9.6%
( 233
 
9.6%
2 206
 
8.5%
1 181
 
7.5%
8 109
 
4.5%
3 81
 
3.3%
0 78
 
3.2%
7 60
 
2.5%
4 58
 
2.4%
Other values (6) 211
 
8.7%
Hangul
ValueCountFrequency (%)
상 324
 
8.8%
사 321
 
8.7%
광 311
 
8.5%
동 249
 
6.8%
시 240
 
6.5%
부 233
 
6.3%
역 233
 
6.3%
구 233
 
6.3%
로 233
 
6.3%
산 233
 
6.3%
Other values (37) 1064
29.0%

소재지전화
Text

MISSING 

Distinct143
Distinct (%)98.6%
Missing88
Missing (%)37.8%
Memory size1.9 KiB
2023-12-13T05:32:23.159849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1740
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

Unique141 ?
Unique (%)97.2%

Sample

1st row051-324-4262
2nd row051-315-6395
3rd row051-323-1085
4th row051-326-2266
5th row051-316-1333
ValueCountFrequency (%)
051-315-7728 2
 
1.4%
051-315-3777 2
 
1.4%
051-312-5858 1
 
0.7%
051-328-7100 1
 
0.7%
051-324-4203 1
 
0.7%
051-325-6860 1
 
0.7%
051-311-2117 1
 
0.7%
051-324-2184 1
 
0.7%
051-305-8733 1
 
0.7%
051-322-3245 1
 
0.7%
Other values (133) 133
91.7%
2023-12-13T05:32:23.534921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 290
16.7%
1 269
15.5%
5 231
13.3%
3 227
13.0%
0 218
12.5%
2 149
8.6%
7 99
 
5.7%
6 83
 
4.8%
4 71
 
4.1%
8 68
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1450
83.3%
Dash Punctuation 290
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 269
18.6%
5 231
15.9%
3 227
15.7%
0 218
15.0%
2 149
10.3%
7 99
 
6.8%
6 83
 
5.7%
4 71
 
4.9%
8 68
 
4.7%
9 35
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 290
16.7%
1 269
15.5%
5 231
13.3%
3 227
13.0%
0 218
12.5%
2 149
8.6%
7 99
 
5.7%
6 83
 
4.8%
4 71
 
4.1%
8 68
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 290
16.7%
1 269
15.5%
5 231
13.3%
3 227
13.0%
0 218
12.5%
2 149
8.6%
7 99
 
5.7%
6 83
 
4.8%
4 71
 
4.1%
8 68
 
3.9%

Missing values

2023-12-13T05:32:21.009645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:32:21.104316image/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

업종명업소명소재지(도로명)소재지전화
0유흥주점영업샛별부산광역시 사상구 사상로 179 (괘법동)<NA>
1유흥주점영업티엠뮤직타운(TM 뮤직타운)부산광역시 사상구 사상로202번길 16 (괘법동)<NA>
2유흥주점영업굿타임 포차클럽부산광역시 사상구 광장로81번길 75 (괘법동)051-324-4262
3유흥주점영업짝 노래방부산광역시 사상구 사상로 239 (괘법동)051-315-6395
4유흥주점영업고운부산광역시 사상구 사상로 171 (괘법동)051-323-1085
5유흥주점영업새물결노래주점부산광역시 사상구 광장로 88 (괘법동)051-326-2266
6유흥주점영업마돈나부산광역시 사상구 사상로 232 (괘법동)051-316-1333
7유흥주점영업비타민Ⅰ부산광역시 사상구 광장로 40 (괘법동)051-317-0045
8유흥주점영업소나타 스탠드 클럽부산광역시 사상구 사상로250번길 26 (괘법동)051-326-2766
9유흥주점영업아지트부산광역시 사상구 광장로37번길 50 (괘법동)051-314-8284
업종명업소명소재지(도로명)소재지전화
223단란주점고고고라이브부산광역시 사상구 사상로243번길 23, 2층 (괘법동)<NA>
224단란주점해뜰날실내포장부산광역시 사상구 가야대로 278-2, 지하1층 (주례동)051-326-0575
225단란주점팡팡단란주점부산광역시 사상구 광장로81번길 8 (괘법동)<NA>
226단란주점마린노래타운 사상점부산광역시 사상구 광장로93번길 21, 2층 (괘법동)051-313-9621
227단란주점린 가라오케주점부산광역시 사상구 사상로202번길 15, 3층 (괘법동)<NA>
228단란주점일번지부산광역시 사상구 광장로 85, 2층 (괘법동)<NA>
229단란주점보물섬7080부산광역시 사상구 사상로212번길 20, 2층 (괘법동)<NA>
230단란주점별이 빛나는 밤에부산광역시 사상구 사상로223번길 32, 2층 (괘법동)<NA>
231단란주점바이칼 단란주점부산광역시 사상구 학장로 330, 2층 (주례동)<NA>
232단란주점건아들부산광역시 사상구 사상로224번길 11, 2층 (괘법동)<NA>