Overview

Dataset statistics

Number of variables5
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory41.9 B

Variable types

Categorical1
Text4

Dataset

Description전라남도 순천시 단란주점 업소 현황 정보입니다. 업소명, 소재지도로명주소, 소재지지번주소, 전화번호 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3072850/fileData.do

Alerts

업종명 has constant value ""Constant
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:14:40.353349
Analysis finished2023-12-12 00:14:40.861133
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
단란주점
69 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 69
100.0%

Length

2023-12-12T09:14:40.937137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:14:41.031396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 69
100.0%

업소명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T09:14:41.263411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.942029
Min length2

Characters and Unicode

Total characters410
Distinct characters155
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row상록수단란주점
2nd row풍년
3rd row오늘온담서
4th row행복음악타운
5th row관광메들리
ValueCountFrequency (%)
단란주점 2
 
2.5%
순천만 2
 
2.5%
상록수단란주점 1
 
1.3%
오두골노래타운 1
 
1.3%
가라오케 1
 
1.3%
seattle 1
 
1.3%
서울스텐드빠 1
 
1.3%
싸이 1
 
1.3%
후스 1
 
1.3%
행운노래주점 1
 
1.3%
Other values (67) 67
84.8%
2023-12-12T09:14:41.646389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
4.9%
15
 
3.7%
14
 
3.4%
14
 
3.4%
11
 
2.7%
11
 
2.7%
11
 
2.7%
10
 
2.4%
9
 
2.2%
8
 
2.0%
Other values (145) 287
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
88.5%
Decimal Number 17
 
4.1%
Uppercase Letter 14
 
3.4%
Space Separator 10
 
2.4%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
5.5%
15
 
4.1%
14
 
3.9%
14
 
3.9%
11
 
3.0%
11
 
3.0%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
Other values (125) 242
66.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
L 2
14.3%
T 2
14.3%
E 2
14.3%
U 1
 
7.1%
A 1
 
7.1%
S 1
 
7.1%
O 1
 
7.1%
C 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 6
35.3%
7 4
23.5%
8 3
17.6%
1 2
 
11.8%
5 1
 
5.9%
3 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
88.3%
Common 33
 
8.0%
Latin 14
 
3.4%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
5.5%
15
 
4.1%
14
 
3.9%
14
 
3.9%
11
 
3.0%
11
 
3.0%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
Other values (124) 241
66.6%
Common
ValueCountFrequency (%)
10
30.3%
0 6
18.2%
7 4
 
12.1%
8 3
 
9.1%
) 2
 
6.1%
1 2
 
6.1%
( 2
 
6.1%
5 1
 
3.0%
. 1
 
3.0%
3 1
 
3.0%
Latin
ValueCountFrequency (%)
B 3
21.4%
L 2
14.3%
T 2
14.3%
E 2
14.3%
U 1
 
7.1%
A 1
 
7.1%
S 1
 
7.1%
O 1
 
7.1%
C 1
 
7.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
88.3%
ASCII 47
 
11.5%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
5.5%
15
 
4.1%
14
 
3.9%
14
 
3.9%
11
 
3.0%
11
 
3.0%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
Other values (124) 241
66.6%
ASCII
ValueCountFrequency (%)
10
21.3%
0 6
12.8%
7 4
 
8.5%
B 3
 
6.4%
8 3
 
6.4%
L 2
 
4.3%
T 2
 
4.3%
) 2
 
4.3%
1 2
 
4.3%
( 2
 
4.3%
Other values (10) 11
23.4%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T09:14:42.013990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length26.956522
Min length13

Characters and Unicode

Total characters1860
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

Unique69 ?
Unique (%)100.0%

Sample

1st row전라남도 순천시 월등면 월등로 1041
2nd row전라남도 순천시 서면 청소길 299 ((1층))
3rd row전라남도 순천시 낙안면 삼일로 73, 2층
4th row전라남도 순천시 중앙3길 10, 지하층 (장천동)
5th row전라남도 순천시 장자보3길 58, 지하층 (연향동)
ValueCountFrequency (%)
순천시 69
17.8%
전라남도 68
 
17.6%
조례동 16
 
4.1%
2층 15
 
3.9%
1층 11
 
2.8%
연향동 11
 
2.8%
봉화2길 8
 
2.1%
지하층 7
 
1.8%
조례동,(2층 6
 
1.6%
장선배기1길 4
 
1.0%
Other values (130) 172
44.4%
2023-12-12T09:14:42.441770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
17.1%
( 86
 
4.6%
) 86
 
4.6%
78
 
4.2%
75
 
4.0%
70
 
3.8%
1 69
 
3.7%
69
 
3.7%
69
 
3.7%
69
 
3.7%
Other values (82) 871
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1057
56.8%
Space Separator 318
 
17.1%
Decimal Number 239
 
12.8%
Open Punctuation 86
 
4.6%
Close Punctuation 86
 
4.6%
Other Punctuation 64
 
3.4%
Dash Punctuation 8
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
 
7.4%
75
 
7.1%
70
 
6.6%
69
 
6.5%
69
 
6.5%
69
 
6.5%
68
 
6.4%
61
 
5.8%
58
 
5.5%
56
 
5.3%
Other values (66) 384
36.3%
Decimal Number
ValueCountFrequency (%)
1 69
28.9%
2 62
25.9%
3 23
 
9.6%
5 15
 
6.3%
4 14
 
5.9%
9 14
 
5.9%
0 11
 
4.6%
8 11
 
4.6%
7 10
 
4.2%
6 10
 
4.2%
Space Separator
ValueCountFrequency (%)
318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1057
56.8%
Common 803
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
 
7.4%
75
 
7.1%
70
 
6.6%
69
 
6.5%
69
 
6.5%
69
 
6.5%
68
 
6.4%
61
 
5.8%
58
 
5.5%
56
 
5.3%
Other values (66) 384
36.3%
Common
ValueCountFrequency (%)
318
39.6%
( 86
 
10.7%
) 86
 
10.7%
1 69
 
8.6%
, 64
 
8.0%
2 62
 
7.7%
3 23
 
2.9%
5 15
 
1.9%
4 14
 
1.7%
9 14
 
1.7%
Other values (6) 52
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1057
56.8%
ASCII 803
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
39.6%
( 86
 
10.7%
) 86
 
10.7%
1 69
 
8.6%
, 64
 
8.0%
2 62
 
7.7%
3 23
 
2.9%
5 15
 
1.9%
4 14
 
1.7%
9 14
 
1.7%
Other values (6) 52
 
6.5%
Hangul
ValueCountFrequency (%)
78
 
7.4%
75
 
7.1%
70
 
6.6%
69
 
6.5%
69
 
6.5%
69
 
6.5%
68
 
6.4%
61
 
5.8%
58
 
5.5%
56
 
5.3%
Other values (66) 384
36.3%

소재지(지번)
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T09:14:42.705209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length23.884058
Min length18

Characters and Unicode

Total characters1648
Distinct characters70
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

Unique69 ?
Unique (%)100.0%

Sample

1st row전라남도 순천시 월등면 농선리 74-1
2nd row전라남도 순천시 서면 청소리 517-1 (1층)
3rd row전라남도 순천시 낙안면 동내리 265-38 2층
4th row전라남도 순천시 장천동 63-1 외2필지(지하)
5th row전라남도 순천시 연향동 1357-8 지하
ValueCountFrequency (%)
순천시 69
20.1%
전라남도 68
19.8%
조례동 28
 
8.2%
2층 21
 
6.1%
연향동 17
 
5.0%
지하 13
 
3.8%
1층 8
 
2.3%
장천동 7
 
2.0%
신대리 4
 
1.2%
지하1층 4
 
1.2%
Other values (96) 104
30.3%
2023-12-12T09:14:43.118210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/