Overview

Dataset statistics

Number of variables7
Number of observations42
Missing cells6
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory60.1 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description경상남도 남해군 모범음식점 정보에 대한 데이터로 업소명, 주소, 업소 전화번호, 소재지, 주요 음식 종류 등에 대한 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3068966/fileData.do

Alerts

구분 has constant value ""Constant
소재지전화번호 has 6 (14.3%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:56:23.593274
Analysis finished2023-12-12 08:56:24.405165
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T17:56:24.526412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T17:56:24.706736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
모범음식점
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
모범음식점 42
100.0%

Length

2023-12-12T17:56:24.867048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:56:24.965548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모범음식점 42
100.0%

업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T17:56:25.207736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.1904762
Min length1

Characters and Unicode

Total characters218
Distinct characters123
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row골든앵커
2nd row곰바우횟집
3rd row공주식당
4th row나들길
5th row남해 사랑채
ValueCountFrequency (%)
남해 2
 
4.0%
골든앵커 1
 
2.0%
곰바우횟집 1
 
2.0%
청정횟집 1
 
2.0%
파도횟집 1
 
2.0%
팔도 1
 
2.0%
전복죽· 1
 
2.0%
해물 1
 
2.0%
햇살복집 1
 
2.0%
화통중화요리 1
 
2.0%
Other values (39) 39
78.0%
2023-12-12T17:56:25.644449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 10
 
4.6%
횟 9
 
4.1%
해 8
 
3.7%
8
 
3.7%
남 6
 
2.8%
정 4
 
1.8%
복 4
 
1.8%
도 4
 
1.8%
화 4
 
1.8%
당 3
 
1.4%
Other values (113) 158
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
89.9%
Uppercase Letter 12
 
5.5%
Space Separator 8
 
3.7%
Other Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 10
 
5.1%
횟 9
 
4.6%
해 8
 
4.1%
남 6
 
3.1%
정 4
 
2.0%
복 4
 
2.0%
도 4
 
2.0%
화 4
 
2.0%
당 3
 
1.5%
식 3
 
1.5%
Other values (100) 141
71.9%
Uppercase Letter
ValueCountFrequency (%)
O 2
16.7%
G 2
16.7%
L 1
8.3%
Y 1
8.3%
A 1
8.3%
D 1
8.3%
K 1
8.3%
C 1
8.3%
H 1
8.3%
I 1
8.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
89.9%
Latin 12
 
5.5%
Common 10
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 10
 
5.1%
횟 9
 
4.6%
해 8
 
4.1%
남 6
 
3.1%
정 4
 
2.0%
복 4
 
2.0%
도 4
 
2.0%
화 4
 
2.0%
당 3
 
1.5%
식 3
 
1.5%
Other values (100) 141
71.9%
Latin
ValueCountFrequency (%)
O 2
16.7%
G 2
16.7%
L 1
8.3%
Y 1
8.3%
A 1
8.3%
D 1
8.3%
K 1
8.3%
C 1
8.3%
H 1
8.3%
I 1
8.3%
Common
ValueCountFrequency (%)
8
80.0%
· 1
 
10.0%
, 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
89.9%
ASCII 21
 
9.6%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 10
 
5.1%
횟 9
 
4.6%
해 8
 
4.1%
남 6
 
3.1%
정 4
 
2.0%
복 4
 
2.0%
도 4
 
2.0%
화 4
 
2.0%
당 3
 
1.5%
식 3
 
1.5%
Other values (100) 141
71.9%
ASCII
ValueCountFrequency (%)
8
38.1%
O 2
 
9.5%
G 2
 
9.5%
L 1
 
4.8%
Y 1
 
4.8%
A 1
 
4.8%
D 1
 
4.8%
K 1
 
4.8%
C 1
 
4.8%
H 1
 
4.8%
Other values (2) 2
 
9.5%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T17:56:25.946490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length23.142857
Min length18

Characters and Unicode

Total characters972
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 삼동면 동부대로1122번길 74-19, 3동
2nd row경상남도 남해군 설천면 노량로 187
3rd row경상남도 남해군 미조면 미조로 230
4th row경상남도 남해군 삼동면 동부대로 1868
5th row경상남도 남해군 이동면 남해대로1567번길 12, 2층
ValueCountFrequency (%)
경상남도 42
19.4%
남해군 42
19.4%
남해읍 9
 
4.2%
삼동면 8
 
3.7%
설천면 7
 
3.2%
미조면 5
 
2.3%
노량로183번길 5
 
2.3%
이동면 5
 
2.3%
남해대로 4
 
1.9%
미송로 4
 
1.9%
Other values (70) 85
39.4%
2023-12-12T17:56:26.397688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
18.0%
남 104
 
10.7%
해 57
 
5.9%
상 46
 
4.7%
경 42
 
4.3%
도 42
 
4.3%
군 42
 
4.3%
1 41
 
4.2%
로 41
 
4.2%
면 35
 
3.6%
Other values (47) 347
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
61.4%
Space Separator 175
 
18.0%
Decimal Number 173
 
17.8%
Dash Punctuation 11
 
1.1%
Other Punctuation 6
 
0.6%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 104
17.4%
해 57
 
9.5%
상 46
 
7.7%
경 42
 
7.0%
도 42
 
7.0%
군 42
 
7.0%
로 41
 
6.9%
면 35
 
5.9%
동 23
 
3.9%
길 16
 
2.7%
Other values (32) 149
25.0%
Decimal Number
ValueCountFrequency (%)
1 41
23.7%
2 29
16.8%
3 19
11.0%
8 17
9.8%
7 14
 
8.1%
6 13
 
7.5%
4 10
 
5.8%
0 10
 
5.8%
5 10
 
5.8%
9 10
 
5.8%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
61.4%
Common 375
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 104
17.4%
해 57
 
9.5%
상 46
 
7.7%
경 42
 
7.0%
도 42
 
7.0%
군 42
 
7.0%
로 41
 
6.9%
면 35
 
5.9%
동 23
 
3.9%
길 16
 
2.7%
Other values (32) 149
25.0%
Common
ValueCountFrequency (%)
175
46.7%
1 41
 
10.9%
2 29
 
7.7%
3 19
 
5.1%
8 17
 
4.5%
7 14
 
3.7%
6 13
 
3.5%
- 11
 
2.9%
4 10
 
2.7%
0 10
 
2.7%
Other values (5) 36
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
61.4%
ASCII 375
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
46.7%
1 41
 
10.9%
2 29
 
7.7%
3 19
 
5.1%
8 17
 
4.5%
7 14
 
3.7%
6 13
 
3.5%
- 11
 
2.9%
4 10
 
2.7%
0 10
 
2.7%
Other values (5) 36
 
9.6%
Hangul
ValueCountFrequency (%)
남 104
17.4%
해 57
 
9.5%
상 46
 
7.7%
경 42
 
7.0%
도 42
 
7.0%
군 42
 
7.0%
로 41
 
6.9%
면 35
 
5.9%
동 23
 
3.9%
길 16
 
2.7%
Other values (32) 149
25.0%

소재지전화번호
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing6
Missing (%)14.3%
Memory size468.0 B
2023-12-12T17:56:26.602604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.472222
Min length12

Characters and Unicode

Total characters449
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

Unique36 ?
Unique (%)100.0%

Sample

1st row055-867-0700
2nd row055- 862-1414
3rd row055- 867-6728
4th row055-867-3421
5th row055-863-5244
ValueCountFrequency (%)
055 17
32.1%
055-867-0700 1
 
1.9%
867-1320 1
 
1.9%
055-862-6022 1
 
1.9%
862-2484 1
 
1.9%
863-1213 1
 
1.9%
055-862-7888 1
 
1.9%
862-0710 1
 
1.9%
055-867-4475 1
 
1.9%
055-863-9896 1
 
1.9%
Other values (27) 27
50.9%
2023-12-12T17:56:26.981107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 86
19.2%
- 72
16.0%
0 54
12.0%
6 51
11.4%
8 48
10.7%
2 30
 
6.7%
7 28
 
6.2%
1 20
 
4.5%
3 19
 
4.2%
17
 
3.8%
Other values (2) 24
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
80.2%
Dash Punctuation 72
 
16.0%
Space Separator 17
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 86
23.9%
0 54
15.0%
6 51
14.2%
8 48
13.3%
2 30
 
8.3%
7 28
 
7.8%
1 20
 
5.6%
3 19
 
5.3%
4 16
 
4.4%
9 8
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 449
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 86
19.2%
- 72
16.0%
0 54
12.0%
6 51
11.4%
8 48
10.7%
2 30
 
6.7%
7 28
 
6.2%
1 20
 
4.5%
3 19
 
4.2%
17
 
3.8%
Other values (2) 24
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 86
19.2%
- 72
16.0%
0 54
12.0%
6 51
11.4%
8 48
10.7%
2 30
 
6.7%
7 28
 
6.2%
1 20
 
4.5%
3 19
 
4.2%
17
 
3.8%
Other values (2) 24
 
5.3%

업태명
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
한식
24 
생선회
10 
중식
3 
양식
3 
경양식
 
2

Length

Max length3
Median length2
Mean length2.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경양식
2nd row한식
3rd row생선회
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 24
57.1%
생선회 10
23.8%
중식 3
 
7.1%
양식 3
 
7.1%
경양식 2
 
4.8%

Length

2023-12-12T17:56:27.213924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:56:27.389736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 24
57.1%
생선회 10
23.8%
중식 3
 
7.1%
양식 3
 
7.1%
경양식 2
 
4.8%

주된음식
Text

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T17:56:27.650485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length6.7380952
Min length1

Characters and Unicode

Total characters283
Distinct characters86
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)76.2%

Sample

1st row스테이크, 파스타, 피자
2nd row멸치쌈밥, 생선회
3rd row멸치회, 쌈밥
4th row멸치쌈밥, 멸치회
5th row멸치쌈밥
ValueCountFrequency (%)
생선회 7
 
10.4%
멸치쌈밥 6
 
9.0%
피자 3
 
4.5%
전복죽 2
 
3.0%
매운탕 2
 
3.0%
파스타 2
 
3.0%
갈치조림 2
 
3.0%
짬뽕 2
 
3.0%
정식 2
 
3.0%
멸치회 2
 
3.0%
Other values (37) 37
55.2%
2023-12-12T17:56:28.407821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 29
 
10.2%
25
 
8.8%
회 16
 
5.7%
생 14
 
4.9%
선 14
 
4.9%
밥 10
 
3.5%
치 10
 
3.5%
탕 8
 
2.8%
멸 8
 
2.8%
쌈 8
 
2.8%
Other values (76) 141
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
80.9%
Other Punctuation 29
 
10.2%
Space Separator 25
 
8.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 16
 
7.0%
생 14
 
6.1%
선 14
 
6.1%
밥 10
 
4.4%
치 10
 
4.4%
탕 8
 
3.5%
멸 8
 
3.5%
쌈 8
 
3.5%
스 6
 
2.6%
복 5
 
2.2%
Other values (74) 130
56.8%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
80.9%
Common 54
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 16
 
7.0%
생 14
 
6.1%
선 14
 
6.1%
밥 10
 
4.4%
치 10
 
4.4%
탕 8
 
3.5%
멸 8
 
3.5%
쌈 8
 
3.5%
스 6
 
2.6%
복 5
 
2.2%
Other values (74) 130
56.8%
Common
ValueCountFrequency (%)
, 29
53.7%
25
46.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
80.9%
ASCII 54
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 29
53.7%
25
46.3%
Hangul
ValueCountFrequency (%)
회 16
 
7.0%
생 14
 
6.1%
선 14
 
6.1%
밥 10
 
4.4%
치 10
 
4.4%
탕 8
 
3.5%
멸 8
 
3.5%
쌈 8
 
3.5%
스 6
 
2.6%
복 5
 
2.2%
Other values (74) 130
56.8%

Interactions

2023-12-12T17:56:24.042913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:56:28.535871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지전화번호업태명주된음식
연번1.0001.0001.0001.0000.0000.685
업소명1.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.0001.000
업태명0.0001.0001.0001.0001.0000.985
주된음식0.6851.0001.0001.0000.9851.000
2023-12-12T17:56:28.665745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.000
업태명0.0001.000

Missing values

2023-12-12T17:56:24.210634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:56:24.349088image/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

연번구분업소명소재지(도로명)소재지전화번호업태명주된음식
01모범음식점골든앵커경상남도 남해군 삼동면 동부대로1122번길 74-19, 3동055-867-0700경양식스테이크, 파스타, 피자
12모범음식점곰바우횟집경상남도 남해군 설천면 노량로 187055- 862-1414한식멸치쌈밥, 생선회
23모범음식점공주식당경상남도 남해군 미조면 미조로 230055- 867-6728생선회멸치회, 쌈밥
34모범음식점나들길경상남도 남해군 삼동면 동부대로 1868055-867-3421한식멸치쌈밥, 멸치회
45모범음식점남해 사랑채경상남도 남해군 이동면 남해대로1567번길 12, 2층055-863-5244한식멸치쌈밥
56모범음식점남해 어부림경상남도 남해군 삼동면 동부대로 1126 (1동(2층),2동(1층))055-867-3362한식멸치쌈밥
67모범음식점대구횟집경상남도 남해군 설천면 노량로183번길 20055- 862-3747생선회생선회,매운탕
78모범음식점만복초밥경상남도 남해군 남해읍 화전로38번길 25-1055- 864-6801생선회생선회,초밥
89모범음식점미소담경상남도 남해군 남해읍 화전로 152055-864-1655한식보쌈,생선구이
910모범음식점박가부대찌개경상남도 남해군 남해읍 남해대로 2770055- 862-5594한식부대찌개
연번구분업소명소재지(도로명)소재지전화번호업태명주된음식
3233모범음식점아라원경상남도 남해군 이동면 무림로 93055-862-7776중식짬뽕
3334모범음식점의령소바 남해점경상남도 남해군 남해읍 망운로 27055-863-9065한식소바
3435모범음식점유가네 한우곰탕경상남도 남해군 남해읍 망운로20번길 3<NA>한식곰탕
3536모범음식점남해군 수협회센타횟집경상남도 남해군 창선면 동부대로2964번길 48<NA>한식회
3637모범음식점DAKCHIGO,남해경상남도 남해군 서면 남서대로 1659-1<NA>한식닭볶음탕
3738모범음식점할로브리즈경상남도 남해군 삼동면 동부대로1122번길 131-6055-867-1155양식피자, 파스타
3839모범음식점도이처파크경상남도 남해군 삼동면 예술길 4-1<NA>양식독일소시지, 피자
3940모범음식점돈나라경상남도 남해군 남면 남면로 1976055-862-8303한식돼지고기
4041모범음식점남해찜나라경상남도 남해군 남면 남면로 1827055-863-5300한식전복해물찜, 아구찜
4142모범음식점해사랑전복마을경상남도 남해군 미조면 미송로 193055-867-7571한식전복죽