Overview

Dataset statistics

Number of variables6
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory52.3 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description충청남도 홍성군의 모범음식점 현황으로, 연번, 업소명, 소재지, 연락처, 주메뉴, 데이터기준일자 정보를 포함하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=450&beforeMenuCd=DOM_000000201001001000&publicdatapk=3073574

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:56:58.541687
Analysis finished2024-01-09 22:56:59.081808
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-10T07:56:59.144668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-01-10T07:56:59.573086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

업소명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T07:56:59.813224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.55
Min length3

Characters and Unicode

Total characters222
Distinct characters126
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row갈매기횟집
2nd row갯마을횟집
3rd row광명식당
4th row금호가든
5th row김가네볼태기
ValueCountFrequency (%)
㈜케이알산업홍성 2
 
4.4%
갈매기횟집 1
 
2.2%
조가네진지상 1
 
2.2%
신토불이 1
 
2.2%
엄마네감자탕 1
 
2.2%
예당큰집 1
 
2.2%
오페라뷔페 1
 
2.2%
용궁회관 1
 
2.2%
웰빙매운해물 1
 
2.2%
손칼국수 1
 
2.2%
Other values (34) 34
75.6%
2024-01-10T07:57:00.131522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
갈 8
 
3.6%
비 7
 
3.2%
집 6
 
2.7%
당 6
 
2.7%
산 5
 
2.3%
5
 
2.3%
가 5
 
2.3%
횟 5
 
2.3%
한 4
 
1.8%
식 4
 
1.8%
Other values (116) 167
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
95.0%
Space Separator 5
 
2.3%
Other Symbol 2
 
0.9%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
갈 8
 
3.8%
비 7
 
3.3%
집 6
 
2.8%
당 6
 
2.8%
산 5
 
2.4%
가 5
 
2.4%
횟 5
 
2.4%
한 4
 
1.9%
식 4
 
1.9%
성 3
 
1.4%
Other values (112) 158
74.9%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
95.5%
Common 9
 
4.1%
Han 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
갈 8
 
3.8%
비 7
 
3.3%
집 6
 
2.8%
당 6
 
2.8%
산 5
 
2.4%
가 5
 
2.4%
횟 5
 
2.4%
한 4
 
1.9%
식 4
 
1.9%
성 3
 
1.4%
Other values (112) 159
75.0%
Common
ValueCountFrequency (%)
5
55.6%
( 2
 
22.2%
) 2
 
22.2%
Han
ValueCountFrequency (%)
本 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
94.6%
ASCII 9
 
4.1%
None 2
 
0.9%
CJK 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
갈 8
 
3.8%
비 7
 
3.3%
집 6
 
2.9%
당 6
 
2.9%
산 5
 
2.4%
가 5
 
2.4%
횟 5
 
2.4%
한 4
 
1.9%
식 4
 
1.9%
성 3
 
1.4%
Other values (111) 157
74.8%
ASCII
ValueCountFrequency (%)
5
55.6%
( 2
 
22.2%
) 2
 
22.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
本 1
100.0%

소재지
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T07:57:00.360199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22.5
Mean length21.275
Min length17

Characters and Unicode

Total characters851
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row충청남도 홍성군 서부면 남당항로 852
2nd row충청남도 홍성군 서부면 남당항로 868
3rd row충청남도 홍성군 홍성읍 월산로30번길 2-4
4th row충청남도 홍성군 홍성읍 도청대로96번길 62
5th row충청남도 홍성군 갈산면 갈산로150번길 10
ValueCountFrequency (%)
충청남도 40
20.3%
홍성군 40
20.3%
홍성읍 22
 
11.2%
홍북읍 4
 
2.0%
10 3
 
1.5%
광천읍 3
 
1.5%
남당항로 3
 
1.5%
서부면 3
 
1.5%
조양로 2
 
1.0%
서해안고속도로 2
 
1.0%
Other values (70) 75
38.1%
2024-01-10T07:57:00.709773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
18.4%
홍 71
 
8.3%
성 64
 
7.5%
남 44
 
5.2%
도 44
 
5.2%
청 42
 
4.9%
충 41
 
4.8%
군 40
 
4.7%
로 30
 
3.5%
읍 29
 
3.4%
Other values (57) 289
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
65.3%
Space Separator 157
 
18.4%
Decimal Number 132
 
15.5%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 71
12.8%
성 64
11.5%
남 44
 
7.9%
도 44
 
7.9%
청 42
 
7.6%
충 41
 
7.4%
군 40
 
7.2%
로 30
 
5.4%
읍 29
 
5.2%
길 21
 
3.8%
Other values (45) 130
23.4%
Decimal Number
ValueCountFrequency (%)
1 26
19.7%
2 21
15.9%
8 13
9.8%
3 11
8.3%
5 11
8.3%
9 11
8.3%
6 11
8.3%
0 11
8.3%
7 10
 
7.6%
4 7
 
5.3%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
65.3%
Common 295
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 71
12.8%
성 64
11.5%
남 44
 
7.9%
도 44
 
7.9%
청 42
 
7.6%
충 41
 
7.4%
군 40
 
7.2%
로 30
 
5.4%
읍 29
 
5.2%
길 21
 
3.8%
Other values (45) 130
23.4%
Common
ValueCountFrequency (%)
157
53.2%
1 26
 
8.8%
2 21
 
7.1%
8 13
 
4.4%
3 11
 
3.7%
5 11
 
3.7%
9 11
 
3.7%
6 11
 
3.7%
0 11
 
3.7%
7 10
 
3.4%
Other values (2) 13
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
65.3%
ASCII 295
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
53.2%
1 26
 
8.8%
2 21
 
7.1%
8 13
 
4.4%
3 11
 
3.7%
5 11
 
3.7%
9 11
 
3.7%
6 11
 
3.7%
0 11
 
3.7%
7 10
 
3.4%
Other values (2) 13
 
4.4%
Hangul
ValueCountFrequency (%)
홍 71
12.8%
성 64
11.5%
남 44
 
7.9%
도 44
 
7.9%
청 42
 
7.6%
충 41
 
7.4%
군 40
 
7.2%
로 30
 
5.4%
읍 29
 
5.2%
길 21
 
3.8%
Other values (45) 130
23.4%

연락처
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T07:57:00.921445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique40 ?
Unique (%)100.0%

Sample

1st row041-631-2848
2nd row041-631-3969
3rd row041-634-6932
4th row041-632-2690
5th row041-631-7117
ValueCountFrequency (%)
041-631-2848 1
 
2.5%
041-631-3969 1
 
2.5%
041-633-3300 1
 
2.5%
041-631-0507 1
 
2.5%
041-635-9100 1
 
2.5%
041-642-3833 1
 
2.5%
041-634-5353 1
 
2.5%
041-631-5607 1
 
2.5%
041-631-4437 1
 
2.5%
041-632-3319 1
 
2.5%
Other values (30) 30
75.0%
2024-01-10T07:57:01.217491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
1 77
16.0%
4 67
14.0%
0 65
13.5%
6 57
11.9%
3 56
11.7%
2 29
 
6.0%
9 17
 
3.5%
5 17
 
3.5%
7 8
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
19.2%
4 67
16.8%
0 65
16.2%
6 57
14.2%
3 56
14.0%
2 29
 
7.2%
9 17
 
4.2%
5 17
 
4.2%
7 8
 
2.0%
8 7
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.7%
1 77
16.0%
4 67
14.0%
0 65
13.5%
6 57
11.9%
3 56
11.7%
2 29
 
6.0%
9 17
 
3.5%
5 17
 
3.5%
7 8
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
1 77
16.0%
4 67
14.0%
0 65
13.5%
6 57
11.9%
3 56
11.7%
2 29
 
6.0%
9 17
 
3.5%
5 17
 
3.5%
7 8
 
1.7%

주메뉴
Text

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T07:57:01.391229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.1
Min length2

Characters and Unicode

Total characters164
Distinct characters62
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

Unique21 ?
Unique (%)52.5%

Sample

1st row생선회
2nd row생선회
3rd row한식
4th row삼계탕
5th row대구탕
ValueCountFrequency (%)
생선회 5
 
10.9%
한정식 4
 
8.7%
삼계탕 3
 
6.5%
돼지갈비 3
 
6.5%
한우생갈비 3
 
6.5%
한식 3
 
6.5%
냉면 2
 
4.3%
갈비,삼겹 2
 
4.3%
면류 2
 
4.3%
뷔페 1
 
2.2%
Other values (18) 18
39.1%
2024-01-10T07:57:01.705209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 11
 
6.7%
갈 11
 
6.7%
한 10
 
6.1%
생 8
 
4.9%
식 8
 
4.9%
, 8
 
4.9%
탕 7
 
4.3%
6
 
3.7%
선 5
 
3.0%
삼 5
 
3.0%
Other values (52) 85
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
91.5%
Other Punctuation 8
 
4.9%
Space Separator 6
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 11
 
7.3%
갈 11
 
7.3%
한 10
 
6.7%
생 8
 
5.3%
식 8
 
5.3%
탕 7
 
4.7%
선 5
 
3.3%
삼 5
 
3.3%
정 5
 
3.3%
회 5
 
3.3%
Other values (50) 75
50.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
91.5%
Common 14
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 11
 
7.3%
갈 11
 
7.3%
한 10
 
6.7%
생 8
 
5.3%
식 8
 
5.3%
탕 7
 
4.7%
선 5
 
3.3%
삼 5
 
3.3%
정 5
 
3.3%
회 5
 
3.3%
Other values (50) 75
50.0%
Common
ValueCountFrequency (%)
, 8
57.1%
6
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
91.5%
ASCII 14
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 11
 
7.3%
갈 11
 
7.3%
한 10
 
6.7%
생 8
 
5.3%
식 8
 
5.3%
탕 7
 
4.7%
선 5
 
3.3%
삼 5
 
3.3%
정 5
 
3.3%
회 5
 
3.3%
Other values (50) 75
50.0%
ASCII
ValueCountFrequency (%)
, 8
57.1%
6
42.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2021-08-31
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-31
2nd row2021-08-31
3rd row2021-08-31
4th row2021-08-31
5th row2021-08-31

Common Values

ValueCountFrequency (%)
2021-08-31 40
100.0%

Length

2024-01-10T07:57:01.816021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:57:01.898129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-31 40
100.0%

Interactions

2024-01-10T07:56:58.838919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:57:01.972271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지연락처주메뉴
연번1.0001.0001.0001.0000.867
업소명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
주메뉴0.8671.0001.0001.0001.000

Missing values

2024-01-10T07:56:58.947777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:56:59.044013image/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

연번업소명소재지연락처주메뉴데이터기준일자
01갈매기횟집충청남도 홍성군 서부면 남당항로 852041-631-2848생선회2021-08-31
12갯마을횟집충청남도 홍성군 서부면 남당항로 868041-631-3969생선회2021-08-31
23광명식당충청남도 홍성군 홍성읍 월산로30번길 2-4041-634-6932한식2021-08-31
34금호가든충청남도 홍성군 홍성읍 도청대로96번길 62041-632-2690삼계탕2021-08-31
45김가네볼태기충청남도 홍성군 갈산면 갈산로150번길 10041-631-7117대구탕2021-08-31
56남해횟집수산충청남도 홍성군 서부면 남당항로 188041-631-9555생선회2021-08-31
67다다횟집충청남도 홍성군 홍성읍 조양로 131041-632-2346생선회2021-08-31
78달평석갈비충청남도 홍성군 홍성읍 홍덕서로 24-20041-631-6944돼지석갈비2021-08-31
89대어횟집충청남도 홍성군 홍성읍 의사로64번길 10041-634-2990생선회2021-08-31
910대왕갈비충청남도 홍성군 홍성읍 조양로151번길 27041-632-1124돼지갈비2021-08-31
연번업소명소재지연락처주메뉴데이터기준일자
3031조가네진지상충청남도 홍성군 내포로 88-1041-631-0511한정식2021-08-31
3132조양아구찜충청남도 홍성군 홍성읍 조양로75번길 68041-632-6686아구찜2021-08-31
3233㈜케이알산업홍성 (상)휴게소충청남도 홍성군 은하면 서해안고속도로 220041-642-1151한식, 면류2021-08-31
3334㈜케이알산업홍성 (하)휴게소충청남도 홍성군 은하면 서해안고속도로 221041-642-1172한식, 면류2021-08-31
3435청하 돌솥밥충청남도 홍성군 광천읍 광천로 195041-641-2535돌솥밥2021-08-31
3536코리아식당충청남도 홍성군 홍성읍 홍성천길 136041-631-7600붕장어탕2021-08-31
3637태평식당충청남도 홍성군 홍성읍 조양로 109-5041-633-1960삼계탕, 굴밥2021-08-31
3738한올채충청남도 홍성군 금마면 광금북로 419041-634-6292오리백숙2021-08-31
3839한우本충청남도 홍성군 문화로72번길 29041-634-2292한정식2021-08-31
3940함흥냉면충청남도 홍성군 조양로119번길 10041-632-4760냉면, 갈비2021-08-31