Overview

Dataset statistics

Number of variables6
Number of observations38
Missing cells3
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory51.5 B

Variable types

Text4
Categorical2

Dataset

Description2019년 9월 5일 기준 괴산군 맛집현황 현황(2019년, 음식점명, 주메뉴, 지정업소, 주소 연락처 등)입니다. 자세한 사항은 괴산군으로 문의주시기 바랍니다.
Author충청북도 괴산군
URLhttps://www.data.go.kr/data/15053539/fileData.do

Alerts

데이터기준일 has constant value ""Constant
주메뉴 has 3 (7.9%) missing valuesMissing
음식점명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:25:24.825860
Analysis finished2023-12-12 02:25:25.465870
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

음식점명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T11:25:25.654830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length6.3947368
Min length2

Characters and Unicode

Total characters243
Distinct characters123
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row갱치
2nd row괴강올갱이해장국
3rd row괴강향토식당
4th row군자식당
5th row꿀꾸리식당
ValueCountFrequency (%)
갱치 1
 
2.5%
쌍곡금호쉼터 1
 
2.5%
우천생고기 1
 
2.5%
연풍양돈조합식당 1
 
2.5%
대보유통㈜괴산(마산방향)휴게소(양식 1
 
2.5%
주)대청산업개발 1
 
2.5%
괴산(양평)휴게소(한,양식 1
 
2.5%
제중한식촌 1
 
2.5%
비악산식당 1
 
2.5%
두천매운탕 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T11:25:26.078071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
6.2%
12
 
4.9%
9
 
3.7%
7
 
2.9%
7
 
2.9%
5
 
2.1%
5
 
2.1%
( 5
 
2.1%
) 5
 
2.1%
5
 
2.1%
Other values (113) 168
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
94.2%
Open Punctuation 5
 
2.1%
Close Punctuation 5
 
2.1%
Space Separator 2
 
0.8%
Other Punctuation 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
6.6%
12
 
5.2%
9
 
3.9%
7
 
3.1%
7
 
3.1%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (108) 154
67.2%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
94.7%
Common 13
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
6.5%
12
 
5.2%
9
 
3.9%
7
 
3.0%
7
 
3.0%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (109) 155
67.4%
Common
ValueCountFrequency (%)
( 5
38.5%
) 5
38.5%
2
 
15.4%
, 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
94.2%
ASCII 13
 
5.3%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
6.6%
12
 
5.2%
9
 
3.9%
7
 
3.1%
7
 
3.1%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (108) 154
67.2%
ASCII
ValueCountFrequency (%)
( 5
38.5%
) 5
38.5%
2
 
15.4%
, 1
 
7.7%
None
ValueCountFrequency (%)
1
100.0%

주메뉴
Text

MISSING 

Distinct26
Distinct (%)74.3%
Missing3
Missing (%)7.9%
Memory size436.0 B
2023-12-12T11:25:26.314562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length5.0285714
Min length3

Characters and Unicode

Total characters176
Distinct characters70
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

Unique22 ?
Unique (%)62.9%

Sample

1st row한우곰탕
2nd row올갱이해장국
3rd row올갱이해장국, 매운탕
4th row민물매운탕
5th row삼겹살
ValueCountFrequency (%)
민물매운탕 6
 
15.8%
올갱이해장국 3
 
7.9%
오리백숙 3
 
7.9%
해물칼국수 2
 
5.3%
버섯전골 2
 
5.3%
매운탕 2
 
5.3%
등심구이 1
 
2.6%
한우곰탕 1
 
2.6%
된장찌개 1
 
2.6%
등갈비찜 1
 
2.6%
Other values (16) 16
42.1%
2023-12-12T11:25:26.726401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.8%
10
 
5.7%
9
 
5.1%
8
 
4.5%
8
 
4.5%
8
 
4.5%
7
 
4.0%
6
 
3.4%
6
 
3.4%
5
 
2.8%
Other values (60) 97
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
96.6%
Other Punctuation 3
 
1.7%
Space Separator 3
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
7.1%
10
 
5.9%
9
 
5.3%
8
 
4.7%
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
5
 
2.9%
Other values (58) 91
53.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
96.6%
Common 6
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
7.1%
10
 
5.9%
9
 
5.3%
8
 
4.7%
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
5
 
2.9%
Other values (58) 91
53.5%
Common
ValueCountFrequency (%)
, 3
50.0%
3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
96.6%
ASCII 6
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
7.1%
10
 
5.9%
9
 
5.3%
8
 
4.7%
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
5
 
2.9%
Other values (58) 91
53.5%
ASCII
ValueCountFrequency (%)
, 3
50.0%
3
50.0%
Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
군 모범음식점
16 
군 모범음식점 / 도우수모법업소
밥맛좋은집지정업소
향토음식거리
군 모범음식점 / 향토음식거리 / 도우수모법업소
Other values (5)

Length

Max length29
Median length26
Mean length11.894737
Min length6

Unique

Unique4 ?
Unique (%)10.5%

Sample

1st row군 모범음식점 / 밥맛좋은집지정업소
2nd row군 모범음식점
3rd row향토음식거리
4th row군 모범음식점
5th row군 모범음식점

Common Values

ValueCountFrequency (%)
군 모범음식점 16
42.1%
군 모범음식점 / 도우수모법업소 5
 
13.2%
밥맛좋은집지정업소 5
 
13.2%
향토음식거리 4
 
10.5%
군 모범음식점 / 향토음식거리 / 도우수모법업소 2
 
5.3%
군 모범음식점 / 도우수모법업소 / 밥맛좋은집지정업소 2
 
5.3%
군 모범음식점 / 밥맛좋은집지정업소 1
 
2.6%
군 모범음식점 / 대물림전통음식계승업소 1
 
2.6%
군 모범음식점 / 향토음식거리 1
 
2.6%
향토음식거리 / 대물림전통음식계승업소 1
 
2.6%

Length

2023-12-12T11:25:26.915859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:25:27.071647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28
28.0%
모범음식점 28
28.0%
17
17.0%
도우수모법업소 9
 
9.0%
밥맛좋은집지정업소 8
 
8.0%
향토음식거리 8
 
8.0%
대물림전통음식계승업소 2
 
2.0%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T11:25:27.452278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length28.947368
Min length19

Characters and Unicode

Total characters1100
Distinct characters122
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

Unique38 ?
Unique (%)100.0%

Sample

1st row충청북도 괴산군 괴산읍 문무로역고개길 73-1 (동부리, 갱치식당)
2nd row충청북도 괴산군 괴산읍 충민로 1 (검승리, 올갱이해장국)
3rd row충청북도 괴산군 칠성면 괴강로 314 (두천리, 향토식당)
4th row충청북도 괴산군 칠성면 괴강로 445
5th row충청북도 괴산군 괴산읍 읍내로15길 41
ValueCountFrequency (%)
충청북도 38
 
16.2%
괴산군 38
 
16.2%
괴산읍 18
 
7.7%
칠성면 8
 
3.4%
동부리 5
 
2.1%
괴강로 5
 
2.1%
괴강로느티울길 4
 
1.7%
대덕리 3
 
1.3%
읍내로15길 3
 
1.3%
연풍면 2
 
0.9%
Other values (102) 111
47.2%
2023-12-12T11:25:27.923152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
17.9%
71
 
6.5%
66
 
6.0%
43
 
3.9%
42
 
3.8%
41
 
3.7%
38
 
3.5%
38
 
3.5%
35
 
3.2%
28
 
2.5%
Other values (112) 501
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 714
64.9%
Space Separator 197
 
17.9%
Decimal Number 113
 
10.3%
Close Punctuation 24
 
2.2%
Open Punctuation 24
 
2.2%
Other Punctuation 20
 
1.8%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
9.9%
66
 
9.2%
43
 
6.0%
42
 
5.9%
41
 
5.7%
38
 
5.3%
38
 
5.3%
35
 
4.9%
28
 
3.9%
26
 
3.6%
Other values (97) 286
40.1%
Decimal Number
ValueCountFrequency (%)
1 21
18.6%
2 21
18.6%
3 14
12.4%
4 12
10.6%
5 11
9.7%
0 10
8.8%
8 9
8.0%
6 8
 
7.1%
9 4
 
3.5%
7 3
 
2.7%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 714
64.9%
Common 386
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
9.9%
66
 
9.2%
43
 
6.0%
42
 
5.9%
41
 
5.7%
38
 
5.3%
38
 
5.3%
35
 
4.9%
28
 
3.9%
26
 
3.6%
Other values (97) 286
40.1%
Common
ValueCountFrequency (%)
197
51.0%
) 24
 
6.2%
( 24
 
6.2%
1 21
 
5.4%
2 21
 
5.4%
, 20
 
5.2%
3 14
 
3.6%
4 12
 
3.1%
5 11
 
2.8%
0 10
 
2.6%
Other values (5) 32
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 714
64.9%
ASCII 386
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
51.0%
) 24
 
6.2%
( 24
 
6.2%
1 21
 
5.4%
2 21
 
5.4%
, 20
 
5.2%
3 14
 
3.6%
4 12
 
3.1%
5 11
 
2.8%
0 10
 
2.6%
Other values (5) 32
 
8.3%
Hangul
ValueCountFrequency (%)
71
 
9.9%
66
 
9.2%
43
 
6.0%
42
 
5.9%
41
 
5.7%
38
 
5.3%
38
 
5.3%
35
 
4.9%
28
 
3.9%
26
 
3.6%
Other values (97) 286
40.1%

전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T11:25:28.237695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique38 ?
Unique (%)100.0%

Sample

1st row043-832-7850
2nd row043-832-1144
3rd row043-833-8804
4th row043-832-5167
5th row043-832-1352
ValueCountFrequency (%)
043-832-7850 1
 
2.6%
043-833-3289 1
 
2.6%
043-832-2472 1
 
2.6%
043-833-9922 1
 
2.6%
043-832-7966 1
 
2.6%
043-832-6594 1
 
2.6%
043-836-9261 1
 
2.6%
043-832-5833 1
 
2.6%
043-832-3210 1
 
2.6%
043-832-2974 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T11:25:28.665168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 100
21.9%
- 76
16.7%
4 57
12.5%
0 56
12.3%
8 49
10.7%
2 39
 
8.6%
1 21
 
4.6%
9 17
 
3.7%
5 15
 
3.3%
6 15
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 100
26.3%
4 57
15.0%
0 56
14.7%
8 49
12.9%
2 39
 
10.3%
1 21
 
5.5%
9 17
 
4.5%
5 15
 
3.9%
6 15
 
3.9%
7 11
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 100
21.9%
- 76
16.7%
4 57
12.5%
0 56
12.3%
8 49
10.7%
2 39
 
8.6%
1 21
 
4.6%
9 17
 
3.7%
5 15
 
3.3%
6 15
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 100
21.9%
- 76
16.7%
4 57
12.5%
0 56
12.3%
8 49
10.7%
2 39
 
8.6%
1 21
 
4.6%
9 17
 
3.7%
5 15
 
3.3%
6 15
 
3.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2019-09-05
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-05
2nd row2019-09-05
3rd row2019-09-05
4th row2019-09-05
5th row2019-09-05

Common Values

ValueCountFrequency (%)
2019-09-05 38
100.0%

Length

2023-12-12T11:25:28.855114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:25:28.971253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-05 38
100.0%

Correlations

2023-12-12T11:25:29.056923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
음식점명주메뉴지정업소구분주소전화번호
음식점명1.0001.0001.0001.0001.000
주메뉴1.0001.0000.4821.0001.000
지정업소구분1.0000.4821.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T11:25:25.273399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:25:25.413989image/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

음식점명주메뉴지정업소구분주소전화번호데이터기준일
0갱치한우곰탕군 모범음식점 / 밥맛좋은집지정업소충청북도 괴산군 괴산읍 문무로역고개길 73-1 (동부리, 갱치식당)043-832-78502019-09-05
1괴강올갱이해장국올갱이해장국군 모범음식점충청북도 괴산군 괴산읍 충민로 1 (검승리, 올갱이해장국)043-832-11442019-09-05
2괴강향토식당올갱이해장국, 매운탕향토음식거리충청북도 괴산군 칠성면 괴강로 314 (두천리, 향토식당)043-833-88042019-09-05
3군자식당민물매운탕군 모범음식점충청북도 괴산군 칠성면 괴강로 445043-832-51672019-09-05
4꿀꾸리식당삼겹살군 모범음식점충청북도 괴산군 괴산읍 읍내로15길 41043-832-13522019-09-05
5느티울집오리한방백숙, 매운탕, 올갱이해장국향토음식거리충청북도 괴산군 칠성면 괴강로 326 (두천리, 느티울)043-832-34192019-09-05
6목도민물고기집식당민물매운탕군 모범음식점 / 도우수모법업소충청북도 괴산군 감물면 오창로 582-1 (이담리)043-833-71532019-09-05
7솔뫼골식당버섯전골군 모범음식점충청북도 괴산군 청천면 문장로 3096043-833-79592019-09-05
8쌍곡금호쉼터백반정식군 모범음식점충청북도 괴산군 칠성면 연풍로 78043-832-75662019-09-05
9양평해장국해장국밥맛좋은집지정업소충청북도 괴산군 괴산읍 중부로 2003 (동부리, 양평해장국)043-833-19532019-09-05
음식점명주메뉴지정업소구분주소전화번호데이터기준일
28이화령휴게소도토리묵밥군 모범음식점충청북도 괴산군 연풍면 이화령로 561 (주진리, 이화령휴게소)043-833-59022019-09-05
29오십년할머니집<NA>향토음식거리 / 대물림전통음식계승업소충청북도 괴산군 괴산읍 괴강로느티울길 8-1043-832-29742019-09-05
30팔도강산식당<NA>향토음식거리충청북도 괴산군 괴산읍 괴강로느티울길 32 (대덕리, 팔도강산 매운탕)043-833-11652019-09-05
31괴강다리매운탕<NA>향토음식거리충청북도 괴산군 칠성면 괴강로느티울길 32-1 (송동리)043-832-01302019-09-05
32다래정자연산버섯전골밥맛좋은집지정업소충청북도 괴산군 괴산읍 동진천길 165 (서부리, 다래정)043-832-12462019-09-05
33명동샤브칼국수해물칼국수군 모범음식점충청북도 괴산군 괴산읍 읍내로15길 42043-833-66222019-09-05
34신가네칼국수해물칼국수군 모범음식점충청북도 괴산군 괴산읍 충민로기곡1길 21043-832-00702019-09-05
35풍성묵은지등갈비찜밥맛좋은집지정업소충청북도 괴산군 괴산읍 괴산로 3540043-834-25892019-09-05
36우천생고기고추장주물럭밥맛좋은집지정업소충청북도 괴산군 괴산읍 읍내로 322043-832-24722019-09-05
37괴산산막이매운탕민물매운탕밥맛좋은집지정업소충청북도 괴산군 칠성면 산막이옛길 80-11043-834-91162019-09-05