Overview

Dataset statistics

Number of variables21
Number of observations1470
Missing cells31
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory248.5 KiB
Average record size in memory173.1 B

Variable types

Numeric3
Text5
DateTime3
Categorical9
Boolean1

Dataset

Description경상남도 밀양시 음식점에 대한 자료로, 인허가일자, 도로명주소, 사업장명, 업태구분명, 주메뉴, 위도, 경도에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111087

Alerts

영업상태구분코드 is highly imbalanced (94.1%)Imbalance
영업상태명 is highly imbalanced (94.1%)Imbalance
상세영업상태코드 is highly imbalanced (94.1%)Imbalance
상세영업상태명 is highly imbalanced (94.1%)Imbalance
다중이용업소여부 is highly imbalanced (74.8%)Imbalance
음식점 분류 is highly imbalanced (70.6%)Imbalance
관광상품번호(NameID) has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:17:07.904664
Analysis finished2023-12-11 00:17:08.994273
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광상품번호(NameID)
Real number (ℝ)

UNIQUE 

Distinct1470
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4000735.5
Minimum4000001
Maximum4001470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T09:17:09.067709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4000001
5-th percentile4000074.5
Q14000368.2
median4000735.5
Q34001102.8
95-th percentile4001396.5
Maximum4001470
Range1469
Interquartile range (IQR)734.5

Descriptive statistics

Standard deviation424.49676
Coefficient of variation (CV)0.00010610468
Kurtosis-1.2
Mean4000735.5
Median Absolute Deviation (MAD)367.5
Skewness0
Sum5.8810812 × 109
Variance180197.5
MonotonicityStrictly increasing
2023-12-11T09:17:09.224818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000001 1
 
0.1%
4000989 1
 
0.1%
4000987 1
 
0.1%
4000986 1
 
0.1%
4000985 1
 
0.1%
4000984 1
 
0.1%
4000983 1
 
0.1%
4000982 1
 
0.1%
4000981 1
 
0.1%
4000980 1
 
0.1%
Other values (1460) 1460
99.3%
ValueCountFrequency (%)
4000001 1
0.1%
4000002 1
0.1%
4000003 1
0.1%
4000004 1
0.1%
4000005 1
0.1%
4000006 1
0.1%
4000007 1
0.1%
4000008 1
0.1%
4000009 1
0.1%
4000010 1
0.1%
ValueCountFrequency (%)
4001470 1
0.1%
4001469 1
0.1%
4001468 1
0.1%
4001467 1
0.1%
4001466 1
0.1%
4001465 1
0.1%
4001464 1
0.1%
4001463 1
0.1%
4001462 1
0.1%
4001461 1
0.1%

관리번호
Text

Distinct1460
Distinct (%)100.0%
Missing10
Missing (%)0.7%
Memory size11.6 KiB
2023-12-11T09:17:09.493342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters32120
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

Unique1460 ?
Unique (%)100.0%

Sample

1st row5360000-101-2021-00063
2nd row5360000-101-2021-00057
3rd row5360000-101-2021-00081
4th row5360000-101-2021-00062
5th row5360000-101-2018-00127
ValueCountFrequency (%)
5360000-101-2021-00099 1
 
0.1%
5360000-101-2006-00053 1
 
0.1%
5360000-101-2006-00067 1
 
0.1%
5360000-101-2006-00058 1
 
0.1%
5360000-101-1998-00003 1
 
0.1%
5360000-101-2006-00062 1
 
0.1%
5360000-101-1998-00006 1
 
0.1%
5360000-101-2006-00064 1
 
0.1%
5360000-101-2006-00065 1
 
0.1%
5360000-101-1998-00008 1
 
0.1%
Other values (1450) 1450
99.3%
2023-12-11T09:17:09.856251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13402
41.7%
1 4518
 
14.1%
- 4380
 
13.6%
3 1867
 
5.8%
2 1859
 
5.8%
5 1846
 
5.7%
6 1825
 
5.7%
9 1001
 
3.1%
4 616
 
1.9%
8 432
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27740
86.4%
Dash Punctuation 4380
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13402
48.3%
1 4518
 
16.3%
3 1867
 
6.7%
2 1859
 
6.7%
5 1846
 
6.7%
6 1825
 
6.6%
9 1001
 
3.6%
4 616
 
2.2%
8 432
 
1.6%
7 374
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 4380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32120
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13402
41.7%
1 4518
 
14.1%
- 4380
 
13.6%
3 1867
 
5.8%
2 1859
 
5.8%
5 1846
 
5.7%
6 1825
 
5.7%
9 1001
 
3.1%
4 616
 
1.9%
8 432
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13402
41.7%
1 4518
 
14.1%
- 4380
 
13.6%
3 1867
 
5.8%
2 1859
 
5.8%
5 1846
 
5.7%
6 1825
 
5.7%
9 1001
 
3.1%
4 616
 
1.9%
8 432
 
1.3%

인허가일자
Date

Distinct1269
Distinct (%)86.9%
Missing10
Missing (%)0.7%
Memory size11.6 KiB
Minimum1963-12-20 00:00:00
Maximum2022-04-26 00:00:00
2023-12-11T09:17:09.997017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:10.142542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
1
1460 
<NA>
 
10

Length

Max length4
Median length1
Mean length1.0204082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1460
99.3%
<NA> 10
 
0.7%

Length

2023-12-11T09:17:10.292024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:10.395798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1460
99.3%
na 10
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
영업/정상
1460 
<NA>
 
10

Length

Max length5
Median length5
Mean length4.9931973
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 1460
99.3%
<NA> 10
 
0.7%

Length

2023-12-11T09:17:10.500935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:10.618469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1460
99.3%
na 10
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
13
1460 
<NA>
 
10

Length

Max length4
Median length2
Mean length2.0136054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 1460
99.3%
<NA> 10
 
0.7%

Length

2023-12-11T09:17:10.766046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:10.910680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1460
99.3%
na 10
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
영업중
1460 
<NA>
 
10

Length

Max length4
Median length3
Mean length3.0068027
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1460
99.3%
<NA> 10
 
0.7%

Length

2023-12-11T09:17:11.038686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:11.154812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1460
99.3%
na 10
 
0.7%

도로명전체주소
Text

Distinct1390
Distinct (%)95.3%
Missing11
Missing (%)0.7%
Memory size11.6 KiB
2023-12-11T09:17:11.493349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length24.100069
Min length15

Characters and Unicode

Total characters35162
Distinct characters223
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1326 ?
Unique (%)90.9%

Sample

1st row경상남도 밀양시 상남면 운하길 1, 1층 102호
2nd row경상남도 밀양시 역앞광장로 14-15 (가곡동)
3rd row경상남도 밀양시 부북면 퇴로로 257, 1,2층
4th row경상남도 밀양시 미리벌중앙로1길 12, 1층 (삼문동)
5th row경상남도 밀양시 중앙로 139, 1층 (가곡동)
ValueCountFrequency (%)
경상남도 1459
18.6%
밀양시 1459
18.6%
삼문동 311
 
4.0%
내이동 304
 
3.9%
1층 301
 
3.8%
삼랑진읍 115
 
1.5%
하남읍 115
 
1.5%
중앙로 114
 
1.5%
단장면 105
 
1.3%
표충로 59
 
0.8%
Other values (1081) 3504
44.7%
2023-12-11T09:17:12.101152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6392
18.2%
남 1692
 
4.8%
상 1622
 
4.6%
시 1595
 
4.5%
밀 1550
 
4.4%
양 1536
 
4.4%
도 1480
 
4.2%
경 1461
 
4.2%
1 1449
 
4.1%
로 1063
 
3.0%
Other values (213) 15322
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21198
60.3%
Space Separator 6392
 
18.2%
Decimal Number 4989
 
14.2%
Open Punctuation 795
 
2.3%
Close Punctuation 795
 
2.3%
Other Punctuation 517
 
1.5%
Dash Punctuation 464
 
1.3%
Uppercase Letter 9
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1692
 
8.0%
상 1622
 
7.7%
시 1595
 
7.5%
밀 1550
 
7.3%
양 1536
 
7.2%
도 1480
 
7.0%
경 1461
 
6.9%
로 1063
 
5.0%
동 975
 
4.6%
길 668
 
3.2%
Other values (189) 7556
35.6%
Decimal Number
ValueCountFrequency (%)
1 1449
29.0%
2 764
15.3%
3 594
11.9%
4 427
 
8.6%
5 374
 
7.5%
6 296
 
5.9%
0 287
 
5.8%
7 279
 
5.6%
9 267
 
5.4%
8 252
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
B 2
22.2%
O 1
 
11.1%
R 1
 
11.1%
U 1
 
11.1%
S 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 511
98.8%
. 6
 
1.2%
Space Separator
ValueCountFrequency (%)
6392
100.0%
Open Punctuation
ValueCountFrequency (%)
( 795
100.0%
Close Punctuation
ValueCountFrequency (%)
) 795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 464
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21198
60.3%
Common 13954
39.7%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1692
 
8.0%
상 1622
 
7.7%
시 1595
 
7.5%
밀 1550
 
7.3%
양 1536
 
7.2%
도 1480
 
7.0%
경 1461
 
6.9%
로 1063
 
5.0%
동 975
 
4.6%
길 668
 
3.2%
Other values (189) 7556
35.6%
Common
ValueCountFrequency (%)
6392
45.8%
1 1449
 
10.4%
( 795
 
5.7%
) 795
 
5.7%
2 764
 
5.5%
3 594
 
4.3%
, 511
 
3.7%
- 464
 
3.3%
4 427
 
3.1%
5 374
 
2.7%
Other values (7) 1389
 
10.0%
Latin
ValueCountFrequency (%)
A 3
30.0%
B 2
20.0%
O 1
 
10.0%
R 1
 
10.0%
U 1
 
10.0%
e 1
 
10.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21198
60.3%
ASCII 13964
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6392
45.8%
1 1449
 
10.4%
( 795
 
5.7%
) 795
 
5.7%
2 764
 
5.5%
3 594
 
4.3%
, 511
 
3.7%
- 464
 
3.3%
4 427
 
3.1%
5 374
 
2.7%
Other values (14) 1399
 
10.0%
Hangul
ValueCountFrequency (%)
남 1692
 
8.0%
상 1622
 
7.7%
시 1595
 
7.5%
밀 1550
 
7.3%
양 1536
 
7.2%
도 1480
 
7.0%
경 1461
 
6.9%
로 1063
 
5.0%
동 975
 
4.6%
길 668
 
3.2%
Other values (189) 7556
35.6%

소재지전체주소
Text

Distinct1389
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T09:17:12.393792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.619728
Min length15

Characters and Unicode

Total characters31781
Distinct characters165
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

Unique1318 ?
Unique (%)89.7%

Sample

1st row경상남도 밀양시 상남면 예림리 1138-2
2nd row경상남도 밀양시 가곡동 592-5
3rd row경상남도 밀양시 부북면 퇴로리 356-6
4th row경상남도 밀양시 삼문동 722-10
5th row경상남도 밀양시 가곡동 640-1
ValueCountFrequency (%)
경상남도 1470
22.2%
밀양시 1470
22.2%
삼문동 339
 
5.1%
내이동 324
 
4.9%
삼랑진읍 115
 
1.7%
하남읍 115
 
1.7%
단장면 105
 
1.6%
수산리 80
 
1.2%
내일동 66
 
1.0%
가곡동 63
 
0.9%
Other values (1500) 2489
37.5%
2023-12-11T09:17:12.793232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5167
 
16.3%
남 1671
 
5.3%
상 1564
 
4.9%
양 1527
 
4.8%
도 1491
 
4.7%
밀 1479
 
4.7%
시 1475
 
4.6%
경 1472
 
4.6%
1 1421
 
4.5%
- 1316
 
4.1%
Other values (155) 13198
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18682
58.8%
Decimal Number 6538
 
20.6%
Space Separator 5167
 
16.3%
Dash Punctuation 1316
 
4.1%
Close Punctuation 35
 
0.1%
Open Punctuation 34
 
0.1%
Other Punctuation 7
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1671
 
8.9%
상 1564
 
8.4%
양 1527
 
8.2%
도 1491
 
8.0%
밀 1479
 
7.9%
시 1475
 
7.9%
경 1472
 
7.9%
동 928
 
5.0%
지 883
 
4.7%
번 828
 
4.4%
Other values (137) 5364
28.7%
Decimal Number
ValueCountFrequency (%)
1 1421
21.7%
2 732
11.2%
5 701
10.7%
3 620
9.5%
7 618
9.5%
4 608
9.3%
6 541
 
8.3%
8 468
 
7.2%
9 458
 
7.0%
0 371
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
5167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18682
58.8%
Common 13097
41.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1671
 
8.9%
상 1564
 
8.4%
양 1527
 
8.2%
도 1491
 
8.0%
밀 1479
 
7.9%
시 1475
 
7.9%
경 1472
 
7.9%
동 928
 
5.0%
지 883
 
4.7%
번 828
 
4.4%
Other values (137) 5364
28.7%
Common
ValueCountFrequency (%)
5167
39.5%
1 1421
 
10.8%
- 1316
 
10.0%
2 732
 
5.6%
5 701
 
5.4%
3 620
 
4.7%
7 618
 
4.7%
4 608
 
4.6%
6 541
 
4.1%
8 468
 
3.6%
Other values (6) 905
 
6.9%
Latin
ValueCountFrequency (%)
e 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18682
58.8%
ASCII 13099
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5167
39.4%
1 1421
 
10.8%
- 1316
 
10.0%
2 732
 
5.6%
5 701
 
5.4%
3 620
 
4.7%
7 618
 
4.7%
4 608
 
4.6%
6 541
 
4.1%
8 468
 
3.6%
Other values (8) 907
 
6.9%
Hangul
ValueCountFrequency (%)
남 1671
 
8.9%
상 1564
 
8.4%
양 1527
 
8.2%
도 1491
 
8.0%
밀 1479
 
7.9%
시 1475
 
7.9%
경 1472
 
7.9%
동 928
 
5.0%
지 883
 
4.7%
번 828
 
4.4%
Other values (137) 5364
28.7%

사업장명
Text

UNIQUE 

Distinct1470
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T09:17:13.058209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length6.4326531
Min length1

Characters and Unicode

Total characters9456
Distinct characters648
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

Unique1470 ?
Unique (%)100.0%

Sample

1st row밀양김밥
2nd row다담뜰한식뷔페 밀양점
3rd row아뜰리에
4th row고혹
5th row스즈란
ValueCountFrequency (%)
밀양점 90
 
5.0%
밀양삼문점 30
 
1.7%
삼문점 15
 
0.8%
카페 14
 
0.8%
본점 9
 
0.5%
밀양본점 8
 
0.4%
경남밀양점 7
 
0.4%
처갓집양념치킨 7
 
0.4%
내이점 7
 
0.4%
수산점 6
 
0.3%
Other values (1541) 1619
89.3%
2023-12-11T09:17:13.580105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
 
3.6%
점 311
 
3.3%
양 296
 
3.1%
밀 287
 
3.0%
식 224
 
2.4%
당 184
 
1.9%
이 142
 
1.5%
가 136
 
1.4%
리 133
 
1.4%
국 133
 
1.4%
Other values (638) 7268
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8664
91.6%
Space Separator 342
 
3.6%
Decimal Number 94
 
1.0%
Lowercase Letter 92
 
1.0%
Open Punctuation 86
 
0.9%
Close Punctuation 86
 
0.9%
Uppercase Letter 68
 
0.7%
Other Punctuation 24
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 311
 
3.6%
양 296
 
3.4%
밀 287
 
3.3%
식 224
 
2.6%
당 184
 
2.1%
이 142
 
1.6%
가 136
 
1.6%
리 133
 
1.5%
국 133
 
1.5%
삼 126
 
1.5%
Other values (587) 6692
77.2%
Lowercase Letter
ValueCountFrequency (%)
e 14
15.2%
a 13
14.1%
f 12
13.0%
o 10
10.9%
n 6
 
6.5%
r 5
 
5.4%
s 5
 
5.4%
c 4
 
4.3%
g 4
 
4.3%
u 4
 
4.3%
Other values (8) 15
16.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
16.2%
C 9
13.2%
M 7
10.3%
E 7
10.3%
D 6
8.8%
Q 4
 
5.9%
F 4
 
5.9%
P 3
 
4.4%
A 3
 
4.4%
T 3
 
4.4%
Other values (6) 11
16.2%
Decimal Number
ValueCountFrequency (%)
1 18
19.1%
8 14
14.9%
3 13
13.8%
9 12
12.8%
2 10
10.6%
0 9
9.6%
4 6
 
6.4%
7 5
 
5.3%
6 4
 
4.3%
5 3
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 21
87.5%
, 1
 
4.2%
. 1
 
4.2%
: 1
 
4.2%
Space Separator
ValueCountFrequency (%)
342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8663
91.6%
Common 632
 
6.7%
Latin 160
 
1.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 311
 
3.6%
양 296
 
3.4%
밀 287
 
3.3%
식 224
 
2.6%
당 184
 
2.1%
이 142
 
1.6%
가 136
 
1.6%
리 133
 
1.5%
국 133
 
1.5%
삼 126
 
1.5%
Other values (586) 6691
77.2%
Latin
ValueCountFrequency (%)
e 14
 
8.8%
a 13
 
8.1%
f 12
 
7.5%
B 11
 
6.9%
o 10
 
6.2%
C 9
 
5.6%
M 7
 
4.4%
E 7
 
4.4%
D 6
 
3.8%
n 6
 
3.8%
Other values (24) 65
40.6%
Common
ValueCountFrequency (%)
342
54.1%
( 86
 
13.6%
) 86
 
13.6%
& 21
 
3.3%
1 18
 
2.8%
8 14
 
2.2%
3 13
 
2.1%
9 12
 
1.9%
2 10
 
1.6%
0 9
 
1.4%
Other values (7) 21
 
3.3%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8663
91.6%
ASCII 792
 
8.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
43.2%
( 86
 
10.9%
) 86
 
10.9%
& 21
 
2.7%
1 18
 
2.3%
e 14
 
1.8%
8 14
 
1.8%
3 13
 
1.6%
a 13
 
1.6%
f 12
 
1.5%
Other values (41) 173
21.8%
Hangul
ValueCountFrequency (%)
점 311
 
3.6%
양 296
 
3.4%
밀 287
 
3.3%
식 224
 
2.6%
당 184
 
2.1%
이 142
 
1.6%
가 136
 
1.6%
리 133
 
1.5%
국 133
 
1.5%
삼 126
 
1.5%
Other values (586) 6691
77.2%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정시점
Date

Distinct724
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
Minimum2001-10-18 00:00:00
Maximum2022-10-24 00:00:00
2023-12-11T09:17:13.743138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:13.917372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
I
801 
U
669 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 801
54.5%
U 669
45.5%

Length

2023-12-11T09:17:14.053391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:14.171590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 801
54.5%
u 669
45.5%

데이터갱신일자
Date

Distinct486
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
Minimum2018-08-31 00:00:00
Maximum2022-10-24 00:00:00
2023-12-11T09:17:14.276111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:14.401806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
한식
892 
까페
129 
기타
92 
중국식
 
56
호프(소주방)+통닭(치킨)
 
48
Other values (15)
253 

Length

Max length19
Median length2
Mean length2.7619048
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김밥(도시락)
2nd row한식
3rd row경양식
4th row한식
5th row일식

Common Values

ValueCountFrequency (%)
한식 892
60.7%
까페 129
 
8.8%
기타 92
 
6.3%
중국식 56
 
3.8%
호프(소주방)+통닭(치킨) 48
 
3.3%
분식 44
 
3.0%
생선회 43
 
2.9%
경양식 42
 
2.9%
<NA> 34
 
2.3%
통닭(치킨) 21
 
1.4%
Other values (10) 69
 
4.7%

Length

2023-12-11T09:17:14.529701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 892
60.7%
까페 129
 
8.8%
기타 92
 
6.3%
중국식 56
 
3.8%
호프(소주방)+통닭(치킨 48
 
3.3%
분식 44
 
3.0%
생선회 43
 
2.9%
경양식 42
 
2.9%
na 34
 
2.3%
통닭(치킨 21
 
1.4%
Other values (10) 69
 
4.7%

주메뉴
Text

Distinct1419
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T09:17:14.714882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length43
Mean length19.155102
Min length2

Characters and Unicode

Total characters28158
Distinct characters691
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1387 ?
Unique (%)94.4%

Sample

1st row김밥+일미김밥+해물우동+해물라면
2nd row한식뷔페
3rd row바닐라라떼+아인슈페너+단짠단짠솔티라떼+퇴로못라떼+패션후르츠에이드
4th row명란치즈감자전+우삼겹얼큰전골+스지사태전골+고혹새우
5th row라멘+새우완탕명+사천식새우완탕
ValueCountFrequency (%)
아메리카노 9
 
0.5%
짜장면+짬뽕 7
 
0.4%
치킨 6
 
0.3%
향어회 5
 
0.3%
정식 5
 
0.3%
핫도그 5
 
0.3%
세트 4
 
0.2%
짜장면 4
 
0.2%
불고기 4
 
0.2%
수제 4
 
0.2%
Other values (1815) 1898
97.3%
2023-12-11T09:17:15.076261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 3805
 
13.5%
리 597
 
2.1%
국 509
 
1.8%
치 501
 
1.8%
487
 
1.7%
라 465
 
1.7%
탕 457
 
1.6%
이 449
 
1.6%
수 448
 
1.6%
기 438
 
1.6%
Other values (681) 20002
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23630
83.9%
Math Symbol 3808
 
13.5%
Space Separator 487
 
1.7%
Decimal Number 76
 
0.3%
Uppercase Letter 43
 
0.2%
Other Punctuation 39
 
0.1%
Close Punctuation 31
 
0.1%
Open Punctuation 31
 
0.1%
Lowercase Letter 10
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 597
 
2.5%
국 509
 
2.2%
치 501
 
2.1%
라 465
 
2.0%
탕 457
 
1.9%
이 449
 
1.9%
수 448
 
1.9%
기 438
 
1.9%
밥 424
 
1.8%
카 394
 
1.7%
Other values (629) 18948
80.2%
Uppercase Letter
ValueCountFrequency (%)
A 7
16.3%
E 6
14.0%
D 5
11.6%
B 4
9.3%
X 4
9.3%
T 3
 
7.0%
I 2
 
4.7%
C 2
 
4.7%
R 1
 
2.3%
L 1
 
2.3%
Other values (8) 8
18.6%
Decimal Number
ValueCountFrequency (%)
1 32
42.1%
2 9
 
11.8%
0 8
 
10.5%
4 6
 
7.9%
9 6
 
7.9%
3 5
 
6.6%
7 4
 
5.3%
8 3
 
3.9%
5 2
 
2.6%
6 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
10.0%
x 1
10.0%
o 1
10.0%
e 1
10.0%
s 1
10.0%
t 1
10.0%
i 1
10.0%
v 1
10.0%
a 1
10.0%
l 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 16
41.0%
! 6
 
15.4%
, 6
 
15.4%
" 3
 
7.7%
. 3
 
7.7%
% 3
 
7.7%
& 2
 
5.1%
Math Symbol
ValueCountFrequency (%)
+ 3805
99.9%
~ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
487
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23629
83.9%
Common 4475
 
15.9%
Latin 53
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 597
 
2.5%
국 509
 
2.2%
치 501
 
2.1%
라 465
 
2.0%
탕 457
 
1.9%
이 449
 
1.9%
수 448
 
1.9%
기 438
 
1.9%
밥 424
 
1.8%
카 394
 
1.7%
Other values (628) 18947
80.2%
Latin
ValueCountFrequency (%)
A 7
 
13.2%
E 6
 
11.3%
D 5
 
9.4%
B 4
 
7.5%
X 4
 
7.5%
T 3
 
5.7%
I 2
 
3.8%
C 2
 
3.8%
g 1
 
1.9%
x 1
 
1.9%
Other values (18) 18
34.0%
Common
ValueCountFrequency (%)
+ 3805
85.0%
487
 
10.9%
1 32
 
0.7%
) 31
 
0.7%
( 31
 
0.7%
/ 16
 
0.4%
2 9
 
0.2%
0 8
 
0.2%
4 6
 
0.1%
9 6
 
0.1%
Other values (14) 44
 
1.0%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23629
83.9%
ASCII 4528
 
16.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 3805
84.0%
487
 
10.8%
1 32
 
0.7%
) 31
 
0.7%
( 31
 
0.7%
/ 16
 
0.4%
2 9
 
0.2%
0 8
 
0.2%
A 7
 
0.2%
4 6
 
0.1%
Other values (42) 96
 
2.1%
Hangul
ValueCountFrequency (%)
리 597
 
2.5%
국 509
 
2.2%
치 501
 
2.1%
라 465
 
2.0%
탕 457
 
1.9%
이 449
 
1.9%
수 448
 
1.9%
기 438
 
1.9%
밥 424
 
1.8%
카 394
 
1.7%
Other values (628) 18947
80.2%
CJK
ValueCountFrequency (%)
大 1
100.0%

좌표정보(위도)
Real number (ℝ)

Distinct1307
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.141437
Minimum0
Maximum35.606945
Zeros14
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T09:17:15.195966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.374999
Q135.470724
median35.48665
Q335.501068
95-th percentile35.549819
Maximum35.606945
Range35.606945
Interquartile range (IQR)0.030343398

Descriptive statistics

Standard deviation3.4473905
Coefficient of variation (CV)0.098100442
Kurtosis100.31678
Mean35.141437
Median Absolute Deviation (MAD)0.01500319
Skewness-10.107464
Sum51657.912
Variance11.884501
MonotonicityNot monotonic
2023-12-11T09:17:15.318900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
1.0%
35.48528102 7
 
0.5%
35.48323575 6
 
0.4%
35.47453031 5
 
0.3%
35.50399116 4
 
0.3%
35.49854718 4
 
0.3%
35.48263993 4
 
0.3%
35.46162491 3
 
0.2%
35.49013415 3
 
0.2%
35.48372936 3
 
0.2%
Other values (1297) 1417
96.4%
ValueCountFrequency (%)
0.0 14
1.0%
35.35226369 1
 
0.1%
35.36515441 1
 
0.1%
35.36868591 1
 
0.1%
35.36985193 1
 
0.1%
35.3724804 1
 
0.1%
35.37337681 1
 
0.1%
35.37346191 1
 
0.1%
35.37349573 1
 
0.1%
35.37357081 1
 
0.1%
ValueCountFrequency (%)
35.60694526 1
0.1%
35.60329903 1
0.1%
35.59851689 1
0.1%
35.59580557 1
0.1%
35.58866173 1
0.1%
35.58851523 1
0.1%
35.58847056 1
0.1%
35.58826245 1
0.1%
35.58806484 1
0.1%
35.58768745 1
0.1%

좌표정보(경도)
Real number (ℝ)

Distinct1306
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.54216
Minimum0
Maximum129.01131
Zeros14
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T09:17:15.689328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile128.68561
Q1128.74481
median128.75073
Q3128.76719
95-th percentile128.91008
Maximum129.01131
Range129.01131
Interquartile range (IQR)0.02237785

Descriptive statistics

Standard deviation12.51095
Coefficient of variation (CV)0.098092662
Kurtosis100.34955
Mean127.54216
Median Absolute Deviation (MAD)0.0087023
Skewness-10.109915
Sum187486.98
Variance156.52388
MonotonicityNot monotonic
2023-12-11T09:17:15.863291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
1.0%
128.7597254 7
 
0.5%
128.7465138 6
 
0.4%
128.7666932 5
 
0.3%
128.7432775 4
 
0.3%
128.7470276 4
 
0.3%
128.7375932 4
 
0.3%
128.842572 3
 
0.2%
128.7520354 3
 
0.2%
128.7504013 3
 
0.2%
Other values (1296) 1417
96.4%
ValueCountFrequency (%)
0.0 14
1.0%
128.5866548 1
 
0.1%
128.623557 1
 
0.1%
128.623677 1
 
0.1%
128.6245778 1
 
0.1%
128.6247446 1
 
0.1%
128.6256962 1
 
0.1%
128.6258188 1
 
0.1%
128.6259168 1
 
0.1%
128.6280306 1
 
0.1%
ValueCountFrequency (%)
129.0113133 1
0.1%
128.9961056 1
0.1%
128.9905282 1
0.1%
128.9867756 1
0.1%
128.986414 1
0.1%
128.9861759 1
0.1%
128.9843903 1
0.1%
128.9841371 1
0.1%
128.9838522 1
0.1%
128.9831133 1
0.1%

위생업태명
Categorical

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
한식
891 
까페
129 
기타
92 
중국식
 
57
호프(소주방)+통닭(치킨)
 
48
Other values (15)
253 

Length

Max length19
Median length2
Mean length2.762585
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김밥(도시락)
2nd row한식
3rd row경양식
4th row한식
5th row일식

Common Values

ValueCountFrequency (%)
한식 891
60.6%
까페 129
 
8.8%
기타 92
 
6.3%
중국식 57
 
3.9%
호프(소주방)+통닭(치킨) 48
 
3.3%
분식 44
 
3.0%
생선회 43
 
2.9%
경양식 42
 
2.9%
<NA> 34
 
2.3%
통닭(치킨) 21
 
1.4%
Other values (10) 69
 
4.7%

Length

2023-12-11T09:17:16.000820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 891
60.6%
까페 129
 
8.8%
기타 92
 
6.3%
중국식 57
 
3.9%
호프(소주방)+통닭(치킨 48
 
3.3%
분식 44
 
3.0%
생선회 43
 
2.9%
경양식 42
 
2.9%
na 34
 
2.3%
통닭(치킨 21
 
1.4%
Other values (10) 69
 
4.7%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1408 
True
 
62
ValueCountFrequency (%)
False 1408
95.8%
True 62
 
4.2%
2023-12-11T09:17:16.094023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식점 분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
일반음식점
1394 
모범음식점
 
76

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 1394
94.8%
모범음식점 76
 
5.2%

Length

2023-12-11T09:17:16.176884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:16.268923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1394
94.8%
모범음식점 76
 
5.2%

카테고리
Categorical

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
한식
679 
카페(디저트)
224 
고깃집(정육점)
158 
치킨
84 
중식
70 
Other values (11)
255 

Length

Max length8
Median length2
Mean length3.570068
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row포장(도시락)
2nd row뷔페식
3rd row카페(디저트)
4th row술집
5th row일식

Common Values

ValueCountFrequency (%)
한식 679
46.2%
카페(디저트) 224
 
15.2%
고깃집(정육점) 158
 
10.7%
치킨 84
 
5.7%
중식 70
 
4.8%
생선회 64
 
4.4%
분식 53
 
3.6%
술집 38
 
2.6%
패스트푸드 22
 
1.5%
양식 20
 
1.4%
Other values (6) 58
 
3.9%

Length

2023-12-11T09:17:16.362395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 679
46.2%
카페(디저트 224
 
15.2%
고깃집(정육점 158
 
10.7%
치킨 84
 
5.7%
중식 70
 
4.8%
생선회 64
 
4.4%
분식 53
 
3.6%
술집 38
 
2.6%
패스트푸드 22
 
1.5%
양식 20
 
1.4%
Other values (6) 58
 
3.9%

Sample

관광상품번호(NameID)관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명도로명전체주소소재지전체주소사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명주메뉴좌표정보(위도)좌표정보(경도)위생업태명다중이용업소여부음식점 분류카테고리
040000015360000-101-2021-000632021-05-101영업/정상13영업중경상남도 밀양시 상남면 운하길 1, 1층 102호경상남도 밀양시 상남면 예림리 1138-2밀양김밥2021-10-01U2021-10-03김밥(도시락)김밥+일미김밥+해물우동+해물라면35.464798128.757234김밥(도시락)N일반음식점포장(도시락)
140000025360000-101-2021-000572021-04-291영업/정상13영업중경상남도 밀양시 역앞광장로 14-15 (가곡동)경상남도 밀양시 가곡동 592-5다담뜰한식뷔페 밀양점2021-09-23U2021-09-25한식한식뷔페35.472977128.768128한식N일반음식점뷔페식
240000035360000-101-2021-000812021-06-161영업/정상13영업중경상남도 밀양시 부북면 퇴로로 257, 1,2층경상남도 밀양시 부북면 퇴로리 356-6아뜰리에2021-09-13U2021-09-15경양식바닐라라떼+아인슈페너+단짠단짠솔티라떼+퇴로못라떼+패션후르츠에이드35.54911128.703147경양식Y일반음식점카페(디저트)
340000045360000-101-2021-000622021-05-031영업/정상13영업중경상남도 밀양시 미리벌중앙로1길 12, 1층 (삼문동)경상남도 밀양시 삼문동 722-10고혹2021-05-03I2021-05-05한식명란치즈감자전+우삼겹얼큰전골+스지사태전골+고혹새우35.481894128.748921한식N일반음식점술집
440000055360000-101-2018-001272018-02-051영업/정상13영업중경상남도 밀양시 중앙로 139, 1층 (가곡동)경상남도 밀양시 가곡동 640-1스즈란2021-05-03I2021-05-05일식라멘+새우완탕명+사천식새우완탕35.477878128.764059일식N일반음식점일식
540000065360000-101-2021-000672021-05-131영업/정상13영업중경상남도 밀양시 삼랑진읍 검세길 47경상남도 밀양시 삼랑진읍 검세리 546-38날마다국수2021-05-13I2021-05-15한식국수+비빔국수+매생이칼국수35.405335128.849195한식N일반음식점한식
640000075360000-101-2021-000802021-06-161영업/정상13영업중경상남도 밀양시 삼문중앙로 15-6 (삼문동)경상남도 밀양시 삼문동 189-38삼초전(판다상점)2021-06-16I2021-06-18한식초벌삼겹살+초벌막창+탕후루35.484184128.754108한식N일반음식점고깃집(정육점)
740000085360000-101-2021-000782021-06-091영업/정상13영업중경상남도 밀양시 백민로 11 (내이동)경상남도 밀양시 내이동 1008-1향어11번지2021-06-09I2021-06-11생선회향어35.493592128.747807생선회N일반음식점생선회
840000095360000-101-2021-000652021-05-111영업/정상13영업중경상남도 밀양시 미리벌중앙로1길 12-1 (삼문동)경상남도 밀양시 삼문동 721-7꽃뿐이네&부전엄마산곰장어2021-11-29U2021-12-01기타석쇠곰장어+석쇠닭불고기35.481756128.748658기타N일반음식점한식
940000105360000-101-2021-000642021-05-111영업/정상13영업중경상남도 밀양시 미리벌중앙로1길 12-1 (삼문동)경상남도 밀양시 삼문동 721-7무한도전 손칼국수2022-01-26U2022-01-28한식칼국수+어묵칼국수+비빔칼국수+들깨칼국수35.481756128.748658한식N일반음식점한식
관광상품번호(NameID)관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명도로명전체주소소재지전체주소사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명주메뉴좌표정보(위도)좌표정보(경도)위생업태명다중이용업소여부음식점 분류카테고리
14604001461<NA><NA><NA><NA><NA><NA>경상남도 밀양시 단장면 표충로 176-5 밀양클래식술도가경상남도 밀양시 단장면 단장리 76-8밀양클래식술도가2022-09-23I2022-09-23<NA>클래식청약주+프리미엄청주+밀양대추막걸리+마실꾸지+밀양탁주+클래식막걸리35.512649128.858067<NA>N일반음식점기타
14614001462<NA><NA><NA><NA><NA><NA><NA>경상남도 밀양시 산내면 삼양리 산16-3부산집2022-09-23I2022-09-23<NA>잔치국수+오뎅탕+정구지전+미나리전35.585233128.990528<NA>N일반음식점한식
14624001463<NA><NA><NA><NA><NA><NA>경상남도 밀양시 단장면 단장로 693-1경상남도 밀양시 단장면 감물리 1050-3여물통한우2022-09-23I2022-09-23<NA>한우등심+한우특수+한우갈비+한우국거리35.461641128.873212<NA>N일반음식점고깃집(정육점)
14634001464<NA><NA><NA><NA><NA><NA>경상남도 밀양시 시청로2길 3경상남도 밀양시 내이동 1520-12본가가야밀면2022-09-23I2022-09-23<NA>물밀면+비빔밀면+물같은비빔+만두35.505052128.741121<NA>N일반음식점한식
14644001465<NA><NA><NA><NA><NA><NA>경상남도 밀양시 삼문중앙로 36-8경상남도 밀양시 삼문동 155-12메모리아2022-09-23I2022-09-23<NA>수제 돈마호크 쌀돈까스+수제직화치즈쌀돈까스+수제등심쌀돈까스+맑은우동+오빠떡볶이35.484596128.75612<NA>N일반음식점양식
14654001466<NA><NA><NA><NA><NA><NA>경상남도 밀양시 단장면 아불3길 20 아부로스 ABUROS경상남도 밀양시 단장면 범도리 746-2아부로스2022-10-11I2022-10-11<NA>아메리카노+자몽에이드+쿨허벌35.525479128.9105<NA>N일반음식점카페(디저트)
146640014675360000-101-2021-000682021-05-171영업/정상13영업중경상남도 밀양시 미리벌중앙로3길 27 (삼문동)경상남도 밀양시 삼문동 739-2더숨커피2021-11-30U2021-12-02기타버터크림라떼+오렌지비앙코+코페스무디35.481681128.746829기타N일반음식점카페(디저트)
14674001468<NA><NA><NA><NA><NA><NA><NA>경상남도 밀양시 청도면 두곡리 산107-1천왕재휴게점2022-10-24I2022-10-24한식잔치국수+비빔국수+콩국수+들깨칼국수35.571234128.586655한식N일반음식점한식
14684001469<NA><NA><NA><NA><NA><NA>경상남도 밀양시 영남루2길 5경상남도 밀양시 내일동 264산삼장어구이2022-10-24I2022-10-24한식산삼장어구이+산삼배양주+산삼막걸리35.493377128.754488한식N일반음식점한식
14694001470<NA><NA><NA><NA><NA><NA>경상남도 밀양시 초동면 신연로 428경상남도 밀양시 봉황리 1179-3포포숑하우스2022-10-24I2022-10-24까페어른입장료+댕댕이입장료+루프탑대관35.453276128.691239까페N일반음식점카페(디저트)