Overview

Dataset statistics

Number of variables16
Number of observations147
Missing cells153
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory130.9 B

Variable types

Categorical6
Text8
Numeric2

Dataset

Description대구광역시 중구 관내에 위치한 맛집 정보(위치, 전화번호, 좌석수, 메뉴 등)를 제공합니다.
Author대구광역시 중구
URLhttps://www.data.go.kr/data/15052602/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 코스High correlation
코스 is highly overall correlated with 위도High correlation
지번주소 has 88 (59.9%) missing valuesMissing
위치 has 41 (27.9%) missing valuesMissing
좌석수 has 12 (8.2%) missing valuesMissing
이용시간 has 11 (7.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:03:24.815966
Analysis finished2023-12-12 22:03:27.378704
Duration2.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct15
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
맛락
38 
모범음식점
36 
골목투어
21 
맛락|골목투어
11 
맛락|묵은맛명가
9 
Other values (10)
32 

Length

Max length19
Median length16
Mean length5.6598639
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row골목투어
2nd row맛락|골목투어|묵은맛명가
3rd row모범음식점
4th row맛락
5th row골목투어|묵은맛명가|모범음식점

Common Values

ValueCountFrequency (%)
맛락 38
25.9%
모범음식점 36
24.5%
골목투어 21
14.3%
맛락|골목투어 11
 
7.5%
맛락|묵은맛명가 9
 
6.1%
묵은맛명가 8
 
5.4%
맛락|골목투어|묵은맛명가|모범음식점 4
 
2.7%
맛락|모범음식점 4
 
2.7%
맛락|골목투어|묵은맛명가 3
 
2.0%
맛락|묵은맛명가|모범음식점 3
 
2.0%
Other values (5) 10
 
6.8%

Length

2023-12-13T07:03:27.455635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
맛락 38
25.9%
모범음식점 36
24.5%
골목투어 21
14.3%
맛락|골목투어 11
 
7.5%
맛락|묵은맛명가 9
 
6.1%
묵은맛명가 8
 
5.4%
맛락|골목투어|묵은맛명가|모범음식점 4
 
2.7%
맛락|모범음식점 4
 
2.7%
맛락|골목투어|묵은맛명가 3
 
2.0%
맛락|묵은맛명가|모범음식점 3
 
2.0%
Other values (5) 10
 
6.8%

상호
Text

Distinct145
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:03:27.770537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.8163265
Min length1

Characters and Unicode

Total characters708
Distinct characters243
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)97.3%

Sample

1st row(주)수락산시로
2nd row8번식당
3rd row가야골 가마솥 한우국밥
4th row가창식당
5th row가창큰나무집약령시점
ValueCountFrequency (%)
삼삼구이초밥 2
 
1.2%
동성로점 2
 
1.2%
벙글벙글 2
 
1.2%
현풍닭칼국수 1
 
0.6%
화림보쌈 1
 
0.6%
영발장 1
 
0.6%
주)수락산시로 1
 
0.6%
예전손국수 1
 
0.6%
약전삼계탕 1
 
0.6%
약전식당 1
 
0.6%
Other values (149) 149
92.0%
2023-12-13T07:03:28.188492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 19
 
2.7%
당 18
 
2.5%
비 17
 
2.4%
이 16
 
2.3%
15
 
2.1%
갈 15
 
2.1%
점 13
 
1.8%
동 13
 
1.8%
성 12
 
1.7%
국 12
 
1.7%
Other values (233) 558
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 680
96.0%
Space Separator 15
 
2.1%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 19
 
2.8%
당 18
 
2.6%
비 17
 
2.5%
이 16
 
2.4%
갈 15
 
2.2%
점 13
 
1.9%
동 13
 
1.9%
성 12
 
1.8%
국 12
 
1.8%
스 12
 
1.8%
Other values (229) 533
78.4%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 680
96.0%
Common 28
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 19
 
2.8%
당 18
 
2.6%
비 17
 
2.5%
이 16
 
2.4%
갈 15
 
2.2%
점 13
 
1.9%
동 13
 
1.9%
성 12
 
1.8%
국 12
 
1.8%
스 12
 
1.8%
Other values (229) 533
78.4%
Common
ValueCountFrequency (%)
15
53.6%
) 6
 
21.4%
( 6
 
21.4%
8 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 680
96.0%
ASCII 28
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 19
 
2.8%
당 18
 
2.6%
비 17
 
2.5%
이 16
 
2.4%
갈 15
 
2.2%
점 13
 
1.9%
동 13
 
1.9%
성 12
 
1.8%
국 12
 
1.8%
스 12
 
1.8%
Other values (229) 533
78.4%
ASCII
ValueCountFrequency (%)
15
53.6%
) 6
 
21.4%
( 6
 
21.4%
8 1
 
3.6%

도로명주소
Text

Distinct144
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:03:28.433190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length25.210884
Min length18

Characters and Unicode

Total characters3706
Distinct characters78
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

Unique142 ?
Unique (%)96.6%

Sample

1st row대구광역시 중구 동성로2길 27-1(삼덕동1가)
2nd row대구광역시 중구 서성로13길 8(서성로1가)
3rd row대구광역시 중구 중앙대로 464-8, 1층 (북성로1가)
4th row대구광역시 중구 종로 11-9(계산동2가)
5th row대구광역시 중구 남성로 25 (남성로)
ValueCountFrequency (%)
대구광역시 147
21.8%
중구 147
21.8%
1층 11
 
1.6%
중앙대로 10
 
1.5%
달구벌대로 9
 
1.3%
국채보상로 8
 
1.2%
동덕로36길 8
 
1.2%
동성로2길 7
 
1.0%
서성로 6
 
0.9%
2층 6
 
0.9%
Other values (231) 315
46.7%
2023-12-13T07:03:28.835445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
 
14.2%
구 308
 
8.3%
대 197
 
5.3%
동 189
 
5.1%
중 165
 
4.5%
1 165
 
4.5%
로 159
 
4.3%
시 149
 
4.0%
광 147
 
4.0%
역 147
 
4.0%
Other values (68) 1553
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2155
58.1%
Decimal Number 644
 
17.4%
Space Separator 527
 
14.2%
Open Punctuation 143
 
3.9%
Close Punctuation 143
 
3.9%
Dash Punctuation 62
 
1.7%
Other Punctuation 32
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 308
14.3%
대 197
 
9.1%
동 189
 
8.8%
중 165
 
7.7%
로 159
 
7.4%
시 149
 
6.9%
광 147
 
6.8%
역 147
 
6.8%
길 80
 
3.7%
가 64
 
3.0%
Other values (53) 550
25.5%
Decimal Number
ValueCountFrequency (%)
1 165
25.6%
2 107
16.6%
3 84
13.0%
4 56
 
8.7%
6 52
 
8.1%
5 49
 
7.6%
0 37
 
5.7%
9 36
 
5.6%
8 33
 
5.1%
7 25
 
3.9%
Space Separator
ValueCountFrequency (%)
527
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2155
58.1%
Common 1551
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 308
14.3%
대 197
 
9.1%
동 189
 
8.8%
중 165
 
7.7%
로 159
 
7.4%
시 149
 
6.9%
광 147
 
6.8%
역 147
 
6.8%
길 80
 
3.7%
가 64
 
3.0%
Other values (53) 550
25.5%
Common
ValueCountFrequency (%)
527
34.0%
1 165
 
10.6%
( 143
 
9.2%
) 143
 
9.2%
2 107
 
6.9%
3 84
 
5.4%
- 62
 
4.0%
4 56
 
3.6%
6 52
 
3.4%
5 49
 
3.2%
Other values (5) 163
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2155
58.1%
ASCII 1551
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
34.0%
1 165
 
10.6%
( 143
 
9.2%
) 143
 
9.2%
2 107
 
6.9%
3 84
 
5.4%
- 62
 
4.0%
4 56
 
3.6%
6 52
 
3.4%
5 49
 
3.2%
Other values (5) 163
 
10.5%
Hangul
ValueCountFrequency (%)
구 308
14.3%
대 197
 
9.1%
동 189
 
8.8%
중 165
 
7.7%
로 159
 
7.4%
시 149
 
6.9%
광 147
 
6.8%
역 147
 
6.8%
길 80
 
3.7%
가 64
 
3.0%
Other values (53) 550
25.5%

지번주소
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing88
Missing (%)59.9%
Memory size1.3 KiB
2023-12-13T07:03:29.101718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.338983
Min length14

Characters and Unicode

Total characters1023
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 삼덕동1가 11-6
2nd row대구광역시 중구 서성로1가 59-1
3rd row대구광역시 중구 남성로51-6
4th row대구광역시 중구 삼덕동1가21-25?
5th row대구광역시 중구 계산동1가80
ValueCountFrequency (%)
대구광역시 59
27.2%
중구 59
27.2%
종로2가 5
 
2.3%
대봉동 4
 
1.8%
남산동 4
 
1.8%
대봉1동 2
 
0.9%
삼덕동1가 2
 
0.9%
삼덕동2가 2
 
0.9%
31-2 2
 
0.9%
43-2 1
 
0.5%
Other values (77) 77
35.5%
2023-12-13T07:03:29.440130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
15.4%
구 118
11.5%
대 68
 
6.6%
1 62
 
6.1%
시 60
 
5.9%
광 59
 
5.8%
역 59
 
5.8%
중 59
 
5.8%
동 56
 
5.5%
- 48
 
4.7%
Other values (39) 276
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
59.0%
Decimal Number 212
 
20.7%
Space Separator 158
 
15.4%
Dash Punctuation 48
 
4.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 118
19.5%
대 68
11.3%
시 60
9.9%
광 59
9.8%
역 59
9.8%
중 59
9.8%
동 56
9.3%
가 21
 
3.5%
산 13
 
2.2%
로 12
 
2.0%
Other values (26) 79
13.1%
Decimal Number
ValueCountFrequency (%)
1 62
29.2%
2 42
19.8%
3 21
 
9.9%
5 18
 
8.5%
6 15
 
7.1%
0 13
 
6.1%
4 12
 
5.7%
9 11
 
5.2%
8 9
 
4.2%
7 9
 
4.2%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
59.0%
Common 419
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 118
19.5%
대 68
11.3%
시 60
9.9%
광 59
9.8%
역 59
9.8%
중 59
9.8%
동 56
9.3%
가 21
 
3.5%
산 13
 
2.2%
로 12
 
2.0%
Other values (26) 79
13.1%
Common
ValueCountFrequency (%)
158
37.7%
1 62
 
14.8%
- 48
 
11.5%
2 42
 
10.0%
3 21
 
5.0%
5 18
 
4.3%
6 15
 
3.6%
0 13
 
3.1%
4 12
 
2.9%
9 11
 
2.6%
Other values (3) 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
59.0%
ASCII 419
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
37.7%
1 62
 
14.8%
- 48
 
11.5%
2 42
 
10.0%
3 21
 
5.0%
5 18
 
4.3%
6 15
 
3.6%
0 13
 
3.1%
4 12
 
2.9%
9 11
 
2.6%
Other values (3) 19
 
4.5%
Hangul
ValueCountFrequency (%)
구 118
19.5%
대 68
11.3%
시 60
9.9%
광 59
9.8%
역 59
9.8%
중 59
9.8%
동 56
9.3%
가 21
 
3.5%
산 13
 
2.2%
로 12
 
2.0%
Other values (26) 79
13.1%

전화번호
Text

Distinct146
Distinct (%)100.0%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2023-12-13T07:03:29.683515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.082192
Min length12

Characters and Unicode

Total characters1764
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

Unique146 ?
Unique (%)100.0%

Sample

1st row053-421-5554
2nd row053-255-0167
3rd row053-952-5700
4th row053-255-0516
5th row053-256-0709
ValueCountFrequency (%)
053-421-5554 1
 
0.7%
053-424-6942 1
 
0.7%
053-427-2997 1
 
0.7%
053-255-5777 1
 
0.7%
053-423-9911 1
 
0.7%
053-252-2473 1
 
0.7%
053-252-9684 1
 
0.7%
053-426-8300 1
 
0.7%
053-267-7788 1
 
0.7%
053-425-3512 1
 
0.7%
Other values (136) 136
93.2%
2023-12-13T07:03:30.031236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 301
17.1%
- 294
16.7%
2 222
12.6%
3 219
12.4%
0 217
12.3%
4 137
7.8%
7 80
 
4.5%
8 78
 
4.4%
9 76
 
4.3%
1 70
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1470
83.3%
Dash Punctuation 294
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 301
20.5%
2 222
15.1%
3 219
14.9%
0 217
14.8%
4 137
9.3%
7 80
 
5.4%
8 78
 
5.3%
9 76
 
5.2%
1 70
 
4.8%
6 70
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1764
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 301
17.1%
- 294
16.7%
2 222
12.6%
3 219
12.4%
0 217
12.3%
4 137
7.8%
7 80
 
4.5%
8 78
 
4.4%
9 76
 
4.3%
1 70
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 301
17.1%
- 294
16.7%
2 222
12.6%
3 219
12.4%
0 217
12.3%
4 137
7.8%
7 80
 
4.5%
8 78
 
4.4%
9 76
 
4.3%
1 70
 
4.0%

위치
Text

MISSING 

Distinct90
Distinct (%)84.9%
Missing41
Missing (%)27.9%
Memory size1.3 KiB
2023-12-13T07:03:30.306707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length24
Mean length11.122642
Min length3

Characters and Unicode

Total characters1179
Distinct characters199
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)78.3%

Sample

1st row금융결재원-야시골목
2nd row서성로 돼지골목 안
3rd row염매시장 안
4th row약령시전시관 2층
5th row중구청 옆
ValueCountFrequency (%)
근처 15
 
5.5%
중구청-동인네거리 10
 
3.7%
안 10
 
3.7%
골목 10
 
3.7%
건너편 9
 
3.3%
옆 8
 
2.9%
맞은편 7
 
2.6%
인근 6
 
2.2%
위치 5
 
1.8%
길 4
 
1.5%
Other values (144) 188
69.1%
2023-12-13T07:03:30.678207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
14.1%
구 36
 
3.1%
목 33
 
2.8%
골 33
 
2.8%
대 24
 
2.0%
편 23
 
2.0%
근 22
 
1.9%
리 20
 
1.7%
중 20
 
1.7%
시 17
 
1.4%
Other values (189) 785
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 943
80.0%
Space Separator 166
 
14.1%
Decimal Number 46
 
3.9%
Dash Punctuation 11
 
0.9%
Uppercase Letter 5
 
0.4%
Lowercase Letter 4
 
0.3%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 36
 
3.8%
목 33
 
3.5%
골 33
 
3.5%
대 24
 
2.5%
편 23
 
2.4%
근 22
 
2.3%
리 20
 
2.1%
중 20
 
2.1%
시 17
 
1.8%
동 17
 
1.8%
Other values (171) 698
74.0%
Decimal Number
ValueCountFrequency (%)
0 12
26.1%
1 12
26.1%
2 9
19.6%
8 4
 
8.7%
3 4
 
8.7%
4 2
 
4.3%
5 2
 
4.3%
9 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
V 1
20.0%
G 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 943
80.0%
Common 227
 
19.3%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 36
 
3.8%
목 33
 
3.5%
골 33
 
3.5%
대 24
 
2.5%
편 23
 
2.4%
근 22
 
2.3%
리 20
 
2.1%
중 20
 
2.1%
시 17
 
1.8%
동 17
 
1.8%
Other values (171) 698
74.0%
Common
ValueCountFrequency (%)
166
73.1%
0 12
 
5.3%
1 12
 
5.3%
- 11
 
4.8%
2 9
 
4.0%
8 4
 
1.8%
3 4
 
1.8%
. 2
 
0.9%
4 2
 
0.9%
5 2
 
0.9%
Other values (3) 3
 
1.3%
Latin
ValueCountFrequency (%)
m 4
44.4%
M 2
22.2%
V 1
 
11.1%
G 1
 
11.1%
C 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 943
80.0%
ASCII 236
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
70.3%
0 12
 
5.1%
1 12
 
5.1%
- 11
 
4.7%
2 9
 
3.8%
m 4
 
1.7%
8 4
 
1.7%
3 4
 
1.7%
M 2
 
0.8%
. 2
 
0.8%
Other values (8) 10
 
4.2%
Hangul
ValueCountFrequency (%)
구 36
 
3.8%
목 33
 
3.5%
골 33
 
3.5%
대 24
 
2.5%
편 23
 
2.4%
근 22
 
2.3%
리 20
 
2.1%
중 20
 
2.1%
시 17
 
1.8%
동 17
 
1.8%
Other values (171) 698
74.0%

좌석수
Text

MISSING 

Distinct97
Distinct (%)71.9%
Missing12
Missing (%)8.2%
Memory size1.3 KiB
2023-12-13T07:03:30.920288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.1185185
Min length1

Characters and Unicode

Total characters691
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)53.3%

Sample

1st row42석 (1실)
2nd row88석
3rd row60석(1실)
4th row14석
5th row98석
ValueCountFrequency (%)
80석 6
 
4.2%
60석 5
 
3.5%
45석 4
 
2.8%
2실 4
 
2.8%
50석 3
 
2.1%
20석 3
 
2.1%
36석 3
 
2.1%
44석 3
 
2.1%
100석 3
 
2.1%
42석 3
 
2.1%
Other values (88) 105
73.9%
2023-12-13T07:03:31.287672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
석 122
17.7%
0 91
13.2%
( 64
9.3%
실 64
9.3%
) 64
9.3%
1 62
9.0%
4 40
 
5.8%
2 38
 
5.5%
6 34
 
4.9%
5 33
 
4.8%
Other values (5) 79
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
53.5%
Other Letter 186
26.9%
Open Punctuation 64
 
9.3%
Close Punctuation 64
 
9.3%
Space Separator 7
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
24.6%
1 62
16.8%
4 40
10.8%
2 38
10.3%
6 34
 
9.2%
5 33
 
8.9%
8 28
 
7.6%
3 24
 
6.5%
9 11
 
3.0%
7 9
 
2.4%
Other Letter
ValueCountFrequency (%)
석 122
65.6%
실 64
34.4%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 505
73.1%
Hangul 186
 
26.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
18.0%
( 64
12.7%
) 64
12.7%
1 62
12.3%
4 40
7.9%
2 38
7.5%
6 34
 
6.7%
5 33
 
6.5%
8 28
 
5.5%
3 24
 
4.8%
Other values (3) 27
 
5.3%
Hangul
ValueCountFrequency (%)
석 122
65.6%
실 64
34.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
73.1%
Hangul 186
 
26.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
석 122
65.6%
실 64
34.4%
ASCII
ValueCountFrequency (%)
0 91
18.0%
( 64
12.7%
) 64
12.7%
1 62
12.3%
4 40
7.9%
2 38
7.5%
6 34
 
6.7%
5 33
 
6.5%
8 28
 
5.5%
3 24
 
4.8%
Other values (3) 27
 
5.3%

이용시간
Text

MISSING 

Distinct80
Distinct (%)58.8%
Missing11
Missing (%)7.5%
Memory size1.3 KiB
2023-12-13T07:03:31.477266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length11
Mean length12.448529
Min length1

Characters and Unicode

Total characters1693
Distinct characters30
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

Unique58 ?
Unique (%)42.6%

Sample

1st row12:00-24:00
2nd row00:00~24:00
3rd row09:00~22:00
4th row09:00~20:00
5th row10:00- 21:00
ValueCountFrequency (%)
10:00~22:00 12
 
7.8%
10:00-22:00 9
 
5.9%
24시간 4
 
2.6%
11:00~22:00 4
 
2.6%
09:00-21:00 4
 
2.6%
11:00-21:00 4
 
2.6%
11:30~22:00 4
 
2.6%
11:00-22:00 4
 
2.6%
12:00-24:00 4
 
2.6%
17:00~02:00 3
 
2.0%
Other values (81) 101
66.0%
2023-12-13T07:03:31.757115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 603
35.6%
: 289
17.1%
1 215
 
12.7%
2 200
 
11.8%
~ 82
 
4.8%
3 66
 
3.9%
- 64
 
3.8%
9 19
 
1.1%
17
 
1.0%
7 17
 
1.0%
Other values (20) 121
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1159
68.5%
Other Punctuation 292
 
17.2%
Math Symbol 82
 
4.8%
Dash Punctuation 64
 
3.8%
Other Letter 57
 
3.4%
Space Separator 17
 
1.0%
Close Punctuation 11
 
0.6%
Open Punctuation 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 13
22.8%
간 13
22.8%
쉬 9
15.8%
는 9
15.8%
일 3
 
5.3%
요 2
 
3.5%
금 2
 
3.5%
토 2
 
3.5%
목 1
 
1.8%
평 1
 
1.8%
Other values (2) 2
 
3.5%
Decimal Number
ValueCountFrequency (%)
0 603
52.0%
1 215
 
18.6%
2 200
 
17.3%
3 66
 
5.7%
9 19
 
1.6%
7 17
 
1.5%
4 15
 
1.3%
5 15
 
1.3%
8 6
 
0.5%
6 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 289
99.0%
, 2
 
0.7%
/ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1636
96.6%
Hangul 57
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 603
36.9%
: 289
17.7%
1 215
 
13.1%
2 200
 
12.2%
~ 82
 
5.0%
3 66
 
4.0%
- 64
 
3.9%
9 19
 
1.2%
17
 
1.0%
7 17
 
1.0%
Other values (8) 64
 
3.9%
Hangul
ValueCountFrequency (%)
시 13
22.8%
간 13
22.8%
쉬 9
15.8%
는 9
15.8%
일 3
 
5.3%
요 2
 
3.5%
금 2
 
3.5%
토 2
 
3.5%
목 1
 
1.8%
평 1
 
1.8%
Other values (2) 2
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1636
96.6%
Hangul 57
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 603
36.9%
: 289
17.7%
1 215
 
13.1%
2 200
 
12.2%
~ 82
 
5.0%
3 66
 
4.0%
- 64
 
3.9%
9 19
 
1.2%
17
 
1.0%
7 17
 
1.0%
Other values (8) 64
 
3.9%
Hangul
ValueCountFrequency (%)
시 13
22.8%
간 13
22.8%
쉬 9
15.8%
는 9
15.8%
일 3
 
5.3%
요 2
 
3.5%
금 2
 
3.5%
토 2
 
3.5%
목 1
 
1.8%
평 1
 
1.8%
Other values (2) 2
 
3.5%

휴무일
Categorical

Distinct43
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
명절
20 
매주 일요일
18 
없음
11 
연중무휴
11 
<NA>
11 
Other values (38)
76 

Length

Max length21
Median length13
Mean length5.4489796
Min length1

Unique

Unique24 ?
Unique (%)16.3%

Sample

1st row없음
2nd row없음
3rd row설,추석명절
4th row첫째 셋째 일요일
5th row없음

Common Values

ValueCountFrequency (%)
명절 20
13.6%
매주 일요일 18
 
12.2%
없음 11
 
7.5%
연중무휴 11
 
7.5%
<NA> 11
 
7.5%
설,추석명절 9
 
6.1%
- 8
 
5.4%
명절 각각 이틀 6
 
4.1%
설, 추석 명절 4
 
2.7%
매주 월요일, 명절 4
 
2.7%
Other values (33) 45
30.6%

Length

2023-12-13T07:03:31.877927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명절 41
16.9%
매주 33
13.6%
일요일 26
 
10.7%
월요일 15
 
6.2%
없음 11
 
4.5%
연중무휴 11
 
4.5%
na 11
 
4.5%
설,추석명절 9
 
3.7%
8
 
3.3%
이틀 7
 
2.9%
Other values (39) 71
29.2%

주차장
Categorical

Distinct18
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유료주차장
69 
없음
22 
-
16 
<NA>
12 
5대
 
5
Other values (13)
23 

Length

Max length8
Median length5
Mean length3.6122449
Min length1

Unique

Unique8 ?
Unique (%)5.4%

Sample

1st row유료주차장
2nd row유료주차장
3rd row없음
4th row유료주차장
5th row유료주차장

Common Values

ValueCountFrequency (%)
유료주차장 69
46.9%
없음 22
 
15.0%
- 16
 
10.9%
<NA> 12
 
8.2%
5대 5
 
3.4%
20대 4
 
2.7%
7대 3
 
2.0%
10대 3
 
2.0%
6대 3
 
2.0%
4대 2
 
1.4%
Other values (8) 8
 
5.4%

Length

2023-12-13T07:03:31.982744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유료주차장 70
47.3%
없음 22
 
14.9%
16
 
10.8%
na 12
 
8.1%
5대 5
 
3.4%
20대 4
 
2.7%
7대 3
 
2.0%
10대 3
 
2.0%
6대 3
 
2.0%
4대 2
 
1.4%
Other values (8) 8
 
5.4%

메뉴
Text

Distinct135
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:03:32.200078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length39
Mean length25.278912
Min length3

Characters and Unicode

Total characters3716
Distinct characters293
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)89.1%

Sample

1st row스끼야끼 \20,000 라멘 \10,000
2nd row8번정식 \9,000 수육 \22,000(소) 순대 \22,000(소)
3rd row국밥 7,000 닭계장 6,000
4th row돼지국밥 \6,500 수육 \15,000~25,000
5th row궁중약백숙 13,000
ValueCountFrequency (%)
7,000 30
 
5.3%
8,000 21
 
3.7%
18,000 16
 
2.8%
10,000 15
 
2.6%
9,000 13
 
2.3%
찌개 10
 
1.8%
28,000 10
 
1.8%
20,000 10
 
1.8%
한우 10
 
1.8%
호주산,미국산 10
 
1.8%
Other values (302) 426
74.6%
2023-12-13T07:03:32.606156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 881
23.7%
424
 
11.4%
, 302
 
8.1%
\ 182
 
4.9%
1 105
 
2.8%
2 78
 
2.1%
5 76
 
2.0%
: 65
 
1.7%
) 60
 
1.6%
( 60
 
1.6%
Other values (283) 1483
39.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1348
36.3%
Other Letter 1243
33.4%
Other Punctuation 564
15.2%
Space Separator 424
 
11.4%
Close Punctuation 60
 
1.6%
Open Punctuation 60
 
1.6%
Lowercase Letter 10
 
0.3%
Math Symbol 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 39
 
3.1%
국 33
 
2.7%
갈 30
 
2.4%
스 30
 
2.4%
밥 28
 
2.3%
탕 28
 
2.3%
우 27
 
2.2%
한 24
 
1.9%
찜 23
 
1.9%
산 23
 
1.9%
Other values (262) 958
77.1%
Decimal Number
ValueCountFrequency (%)
0 881
65.4%
1 105
 
7.8%
2 78
 
5.8%
5 76
 
5.6%
8 60
 
4.5%
7 38
 
2.8%
3 34
 
2.5%
9 30
 
2.2%
6 24
 
1.8%
4 22
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 302
53.5%
\ 182
32.3%
: 65
 
11.5%
/ 13
 
2.3%
" 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
424
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2463
66.3%
Hangul 1234
33.2%
Latin 10
 
0.3%
Han 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 39
 
3.2%
국 33
 
2.7%
갈 30
 
2.4%
스 30
 
2.4%
밥 28
 
2.3%
탕 28
 
2.3%
우 27
 
2.2%
한 24
 
1.9%
찜 23
 
1.9%
산 23
 
1.9%
Other values (259) 949
76.9%
Common
ValueCountFrequency (%)
0 881
35.8%
424
17.2%
, 302
 
12.3%
\ 182
 
7.4%
1 105
 
4.3%
2 78
 
3.2%
5 76
 
3.1%
: 65
 
2.6%
) 60
 
2.4%
( 60
 
2.4%
Other values (10) 230
 
9.3%
Han
ValueCountFrequency (%)
大 4
44.4%
小 3
33.3%
中 2
22.2%
Latin
ValueCountFrequency (%)
g 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2473
66.6%
Hangul 1234
33.2%
CJK 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 881
35.6%
424
17.1%
, 302
 
12.2%
\ 182
 
7.4%
1 105
 
4.2%
2 78
 
3.2%
5 76
 
3.1%
: 65
 
2.6%
) 60
 
2.4%
( 60
 
2.4%
Other values (11) 240
 
9.7%
Hangul
ValueCountFrequency (%)
비 39
 
3.2%
국 33
 
2.7%
갈 30
 
2.4%
스 30
 
2.4%
밥 28
 
2.3%
탕 28
 
2.3%
우 27
 
2.2%
한 24
 
1.9%
찜 23
 
1.9%
산 23
 
1.9%
Other values (259) 949
76.9%
CJK
ValueCountFrequency (%)
大 4
44.4%
小 3
33.3%
中 2
22.2%

업태
Categorical

Distinct12
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한식
76 
별식
19 
양식&외국식
14 
일식
12 
찜갈비
10 
Other values (7)
16 

Length

Max length10
Median length2
Mean length2.6666667
Min length1

Unique

Unique3 ?
Unique (%)2.0%

Sample

1st row일식
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 76
51.7%
별식 19
 
12.9%
양식&외국식 14
 
9.5%
일식 12
 
8.2%
찜갈비 10
 
6.8%
중식 6
 
4.1%
술한잔하기 좋은 집 3
 
2.0%
디저트 2
 
1.4%
양식 2
 
1.4%
식육(숯불구이) 1
 
0.7%
Other values (2) 2
 
1.4%

Length

2023-12-13T07:03:32.744591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 76
49.7%
별식 19
 
12.4%
양식&외국식 14
 
9.2%
일식 12
 
7.8%
찜갈비 10
 
6.5%
중식 6
 
3.9%
술한잔하기 3
 
2.0%
좋은 3
 
2.0%
집 3
 
2.0%
디저트 2
 
1.3%
Other values (4) 5
 
3.3%

코스
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
105 
3코스
15 
2코스
 
9
1코스
 
8
4코스
 
8

Length

Max length4
Median length4
Mean length3.7142857
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3코스
2nd row1코스
3rd row<NA>
4th row<NA>
5th row2코스

Common Values

ValueCountFrequency (%)
<NA> 105
71.4%
3코스 15
 
10.2%
2코스 9
 
6.1%
1코스 8
 
5.4%
4코스 8
 
5.4%
5코스 2
 
1.4%

Length

2023-12-13T07:03:32.878374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:32.999143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
71.4%
3코스 15
 
10.2%
2코스 9
 
6.1%
1코스 8
 
5.4%
4코스 8
 
5.4%
5코스 2
 
1.4%

경도
Real number (ℝ)

Distinct146
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59578
Minimum128.57924
Maximum128.60883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:03:33.106089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57924
5-th percentile128.58488
Q1128.59119
median128.59495
Q3128.60206
95-th percentile128.60639
Maximum128.60883
Range0.029584
Interquartile range (IQR)0.010872457

Descriptive statistics

Standard deviation0.0069147671
Coefficient of variation (CV)5.3771337 × 10-5
Kurtosis-0.69682743
Mean128.59578
Median Absolute Deviation (MAD)0.0046063936
Skewness-0.024937015
Sum18903.58
Variance4.7814005 × 10-5
MonotonicityNot monotonic
2023-12-13T07:03:33.227541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6048786 2
 
1.4%
128.59614899 1
 
0.7%
128.58178011 1
 
0.7%
128.59027506 1
 
0.7%
128.59080522691812 1
 
0.7%
128.606166 1
 
0.7%
128.59103936790055 1
 
0.7%
128.596719 1
 
0.7%
128.59138295 1
 
0.7%
128.58973499 1
 
0.7%
Other values (136) 136
92.5%
ValueCountFrequency (%)
128.579243 1
0.7%
128.5809976 1
0.7%
128.58113876 1
0.7%
128.58178011 1
0.7%
128.581944 1
0.7%
128.58218982 1
0.7%
128.58361429 1
0.7%
128.58451966 1
0.7%
128.58572855 1
0.7%
128.5861065558731 1
0.7%
ValueCountFrequency (%)
128.608827 1
0.7%
128.6077010803616 1
0.7%
128.607394 1
0.7%
128.60677069814784 1
0.7%
128.60670708 1
0.7%
128.60668999999996 1
0.7%
128.60652277573377 1
0.7%
128.606398 1
0.7%
128.606378 1
0.7%
128.606377 1
0.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct146
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.867852
Minimum35.85579
Maximum35.875206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:03:33.378745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.85579
5-th percentile35.86047
Q135.866592
median35.868511
Q335.870659
95-th percentile35.873374
Maximum35.875206
Range0.019416
Interquartile range (IQR)0.0040666304

Descriptive statistics

Standard deviation0.0040350427
Coefficient of variation (CV)0.00011249747
Kurtosis1.0250303
Mean35.867852
Median Absolute Deviation (MAD)0.002124329
Skewness-1.0245527
Sum5272.5743
Variance1.6281569 × 10-5
MonotonicityNot monotonic
2023-12-13T07:03:33.524224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8708906 2
 
1.4%
35.867185056 1
 
0.7%
35.872126433 1
 
0.7%
35.868837252 1
 
0.7%
35.868724146073056 1
 
0.7%
35.867371 1
 
0.7%
35.87042649198711 1
 
0.7%
35.864194 1
 
0.7%
35.869402031 1
 
0.7%
35.864913629 1
 
0.7%
Other values (136) 136
92.5%
ValueCountFrequency (%)
35.85579 1
0.7%
35.855809 1
0.7%
35.855814 1
0.7%
35.85583 1
0.7%
35.856571622 1
0.7%
35.86033094671478 1
0.7%
35.860332604 1
0.7%
35.860455092 1
0.7%
35.86050439 1
0.7%
35.860601914 1
0.7%
ValueCountFrequency (%)
35.875206 1
0.7%
35.874561976 1
0.7%
35.874288 1
0.7%
35.873839 1
0.7%
35.873800703 1
0.7%
35.873639 1
0.7%
35.87338684262889 1
0.7%
35.873377793 1
0.7%
35.873364528 1
0.7%
35.872461627 1
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2020-01-14
147 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01-14
2nd row2020-01-14
3rd row2020-01-14
4th row2020-01-14
5th row2020-01-14

Common Values

ValueCountFrequency (%)
2020-01-14 147
100.0%

Length

2023-12-13T07:03:33.747013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:33.871307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-01-14 147
100.0%

Interactions

2023-12-13T07:03:26.673930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:26.490070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:26.770258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:26.571543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:03:33.931296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류지번주소위치좌석수이용시간휴무일주차장업태코스경도위도
분류1.0001.0000.9150.8520.5990.4890.0000.3510.5580.4460.372
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위치0.9151.0001.0000.8500.9830.8090.0001.0001.0000.9890.986
좌석수0.8521.0000.8501.0000.0000.8280.9530.6970.5280.7640.655
이용시간0.5991.0000.9830.0001.0000.8650.0000.7650.0000.6030.784
휴무일0.4891.0000.8090.8280.8651.0000.7860.0000.0000.0000.568
주차장0.0001.0000.0000.9530.0000.7861.0000.6050.2200.2940.086
업태0.3511.0001.0000.6970.7650.0000.6051.0000.4530.4270.171
코스0.5581.0001.0000.5280.0000.0000.2200.4531.0000.7930.828
경도0.4461.0000.9890.7640.6030.0000.2940.4270.7931.0000.419
위도0.3721.0000.9860.6550.7840.5680.0860.1710.8280.4191.000
2023-12-13T07:03:34.059693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일코스업태분류주차장
휴무일1.0000.0000.0000.1230.293
코스0.0001.0000.2970.3640.124
업태0.0000.2971.0000.1320.260
분류0.1230.3640.1321.0000.000
주차장0.2930.1240.2600.0001.000
2023-12-13T07:03:34.156752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도분류휴무일주차장업태코스
경도1.000-0.1550.1740.0000.1110.1910.412
위도-0.1551.0000.1550.2030.0130.0690.671
분류0.1740.1551.0000.1230.0000.1320.364
휴무일0.0000.2030.1231.0000.2930.0000.000
주차장0.1110.0130.0000.2931.0000.2600.124
업태0.1910.0690.1320.0000.2601.0000.297
코스0.4120.6710.3640.0000.1240.2971.000

Missing values

2023-12-13T07:03:26.942491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:03:27.127576image/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.
2023-12-13T07:03:27.279399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

분류상호도로명주소지번주소전화번호위치좌석수이용시간휴무일주차장메뉴업태코스경도위도데이터기준일자
0골목투어(주)수락산시로대구광역시 중구 동성로2길 27-1(삼덕동1가)대구광역시 중구 삼덕동1가 11-6053-421-5554금융결재원-야시골목42석 (1실)12:00-24:00없음유료주차장스끼야끼 \20,000 라멘 \10,000일식3코스128.59614935.8671852020-01-14
1맛락|골목투어|묵은맛명가8번식당대구광역시 중구 서성로13길 8(서성로1가)대구광역시 중구 서성로1가 59-1053-255-0167서성로 돼지골목 안88석00:00~24:00없음유료주차장8번정식 \9,000 수육 \22,000(소) 순대 \22,000(소)한식1코스128.58688335.8723592020-01-14
2모범음식점가야골 가마솥 한우국밥대구광역시 중구 중앙대로 464-8, 1층 (북성로1가)<NA>053-952-5700<NA>60석(1실)09:00~22:00설,추석명절없음국밥 7,000 닭계장 6,000한식<NA>128.59357735.8658872020-01-14
3맛락가창식당대구광역시 중구 종로 11-9(계산동2가)<NA>053-255-0516염매시장 안14석09:00~20:00첫째 셋째 일요일유료주차장돼지국밥 \6,500 수육 \15,000~25,000한식<NA>128.59142335.8668912020-01-14
4골목투어|묵은맛명가|모범음식점가창큰나무집약령시점대구광역시 중구 남성로 25 (남성로)대구광역시 중구 남성로51-6053-256-0709약령시전시관 2층98석10:00- 21:00없음유료주차장궁중약백숙 13,000한식2코스128.58972735.8680822020-01-14
5맛락갈비탕집대구광역시 중구 국채보상로139길 38(동인동3가)<NA>053-010-2166-8700중구청 옆45석11:00~22:00매주 일요일유료주차장갈비탕 \9,000 갈비전골 \25,000(중)/\35,000(대)한식<NA>128.60652335.8707372020-01-14
6맛락강구대구광역시 중구 서성로 25-5(계산동1가)<NA>053-253-8944매일신문사 길 건너편 오래된 골목120석(1실)09:30~21:30첫째 셋째 일요일유료주차장생대구탕 \14,000(1인) 생아구수육 \40,000(小)/\50,000(大)한식<NA>128.58674335.868962020-01-14
7모범음식점강산면옥(교동점)대구광역시 중구 교동길 27-8, 3층 (교동)<NA>053-425-1199<NA>160석(2실)10:00-21:00설, 추석 명절없음냉면 8,500 갈비탕 11,000별식<NA>128.596435.8736392020-01-14
8맛락|묵은맛명가|모범음식점개정대구광역시 중구 동성로3길 52(삼덕동1가)대구광역시 중구 삼덕동1가21-25?053-424-7051자이유에서 노보텔쪽 100m150석(1실)11:00~21:30명절유료주차장육회비빔밥 \12,000 물비빔면 \10,000한식<NA>128.59798535.867672020-01-14
9모범음식점개정동성로점대구광역시 중구 동성로 36-6, 2층 (동성로2가)<NA>053-422-0366<NA>74석(1실)11:00-22:00설, 추석 명절없음냉면 8,500 비빔밥 9,000한식<NA>128.59650135.8700552020-01-14
분류상호도로명주소지번주소전화번호위치좌석수이용시간휴무일주차장메뉴업태코스경도위도데이터기준일자
137맛락한옥집대구광역시 중구 동덕로 168-2(동인동2가)<NA>053-425-8653중구청 근처60석10:00~21:00명절-김치찜 \7,000 김치찌개 \7,000한식<NA>128.60478835.8697812020-01-14
138모범음식점함흥면옥대구광역시 중구 명덕로 333, 11층 (대봉동)<NA>053-420-8031<NA>88석(1실)10:30~20:30백화점 정기휴무일유료주차장상추샤브샤브: 12,000 갈비탕: 9,500별식<NA>128.60637735.855792020-01-14
139골목투어해뜨는 아침대구광역시 중구 남성로 56(동성로3가)<NA>053-253-1777약전골목에 위치60석11:30~21:30명절없음"돈까스: 8,000 청국장: 7,500"한식<NA>128.59273235.8670812020-01-14
140골목투어행복식당대구광역시 중구 달구벌대로 2115-2(봉산동)대구광역시 중구 봉산동 37-33053-427-2232반월당 외환은행 골목70석11:00-24:00설,추석명절유료주차장동태전 \8,000 호박전 \6,000술한잔하기 좋은 집4코스128.59495135.8656782020-01-14
141모범음식점현대옥 경대병원점대구광역시 중구 동덕로 141(삼덕동2가)<NA>053-425-8253한국은행 맞은편11024시간설추석명절6대콩나물해장국한식<NA>128.60339635.8672542020-01-14
142모범음식점현풍닭칼국수 동성로점대구광역시 중구 동성로1길 65(봉산동)<NA>053-256-9392<NA>60석11:00~21:00둘째주 넷째주 월요일없음닭칼국수: 6,000원한식<NA>128.5969735.865642020-01-14
143모범음식점화림보쌈대구광역시 중구 명덕로35길 111, 1층 (남산동)<NA>053-255-1877<NA><NA><NA><NA><NA>돼지보쌈한식<NA>128.58994835.8616142020-01-14
144모범음식점황소대구광역시 중구 북성로 104-11, 1층 (향촌동)<NA>053-252-0110<NA>52석(1실)11:00~23:00명절 각각 이틀유료주차장한우쪽등심(100g): 15,000 문경약돌돼지(100g): 8,000한식<NA>128.59397535.8738392020-01-14
145맛락|모범음식점황소식당대구광역시 중구 중앙대로 434-6(포정동)대구광역시 중구 포정동 69-1053-421-9930롯데영프라자 뒷골목 지하철 3번 출구50석(2실)11:00-24:00명절유료주차장생고기 \50,000 육회 \50,000한식<NA>128.59460735.8718492020-01-14
146모범음식점힛또대구광역시 중구 명덕로 333 (대봉동, 지상11층)<NA>053-256-6868대백프라자 11층100석(1실)10:30~20:30백화점 정기휴무일유료주차장히레까스:11,000 생선초밥정식: 23,000일식<NA>128.60637835.8558092020-01-14