Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Numeric3
Categorical3
Text2

Dataset

Description경상남도 밀양시 관광상품카데고리별해시태그에 대한 자료로, 관광상품번호, 관광상품분류, 관광상품명, 해시태그, 해시태그분위기에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111117

Alerts

생성일 has constant value ""Constant
관광상품번호(NameID) is highly overall correlated with 관광상품분류High correlation
관광상품분류 is highly overall correlated with 관광상품번호(NameID)High correlation
번호(ID) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:45:12.860492
Analysis finished2023-12-11 00:45:15.189028
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호(ID)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8005970.6
Minimum8000001
Maximum8012012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:45:15.579216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8000001
5-th percentile8000589
Q18002963.8
median8005946.5
Q38008977.2
95-th percentile8011419.1
Maximum8012012
Range12011
Interquartile range (IQR)6013.5

Descriptive statistics

Standard deviation3469.8604
Coefficient of variation (CV)0.00043340909
Kurtosis-1.1963985
Mean8005970.6
Median Absolute Deviation (MAD)3006
Skewness0.016121519
Sum8.0059706 × 1010
Variance12039931
MonotonicityNot monotonic
2023-12-11T09:45:15.749626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8006828 1
 
< 0.1%
8007402 1
 
< 0.1%
8000951 1
 
< 0.1%
8003837 1
 
< 0.1%
8006277 1
 
< 0.1%
8002579 1
 
< 0.1%
8007494 1
 
< 0.1%
8006202 1
 
< 0.1%
8002966 1
 
< 0.1%
8005923 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
8000001 1
< 0.1%
8000002 1
< 0.1%
8000003 1
< 0.1%
8000004 1
< 0.1%
8000005 1
< 0.1%
8000006 1
< 0.1%
8000007 1
< 0.1%
8000008 1
< 0.1%
8000009 1
< 0.1%
8000010 1
< 0.1%
ValueCountFrequency (%)
8012012 1
< 0.1%
8012011 1
< 0.1%
8012010 1
< 0.1%
8012009 1
< 0.1%
8012008 1
< 0.1%
8012007 1
< 0.1%
8012006 1
< 0.1%
8012005 1
< 0.1%
8012004 1
< 0.1%
8012003 1
< 0.1%

관광상품번호(NameID)
Real number (ℝ)

HIGH CORRELATION 

Distinct906
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3237523.3
Minimum1000001
Maximum4001470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:45:15.913421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000001
5-th percentile1000035
Q13000100
median4000133
Q34000728
95-th percentile4001323
Maximum4001470
Range3001469
Interquartile range (IQR)1000628

Descriptive statistics

Standard deviation1058638
Coefficient of variation (CV)0.32699007
Kurtosis0.23286598
Mean3237523.3
Median Absolute Deviation (MAD)1180
Skewness-1.2606034
Sum3.2375233 × 1010
Variance1.1207143 × 1012
MonotonicityNot monotonic
2023-12-11T09:45:16.089335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000353 44
 
0.4%
4000728 41
 
0.4%
4000992 41
 
0.4%
4000605 40
 
0.4%
1000003 38
 
0.4%
1000071 38
 
0.4%
4000544 35
 
0.4%
4000641 34
 
0.3%
1000063 34
 
0.3%
4000693 33
 
0.3%
Other values (896) 9622
96.2%
ValueCountFrequency (%)
1000001 13
 
0.1%
1000003 38
0.4%
1000004 14
 
0.1%
1000005 31
0.3%
1000006 13
 
0.1%
1000007 19
0.2%
1000009 30
0.3%
1000010 17
0.2%
1000011 11
 
0.1%
1000012 12
 
0.1%
ValueCountFrequency (%)
4001470 13
0.1%
4001469 15
0.1%
4001468 9
 
0.1%
4001466 8
 
0.1%
4001463 13
0.1%
4001462 29
0.3%
4001461 5
 
0.1%
4001460 6
 
0.1%
4001458 4
 
< 0.1%
4001451 4
 
< 0.1%

관광상품분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5153 
숙박업소
2845 
관광지
1536 
모범음식점
 
378
문화축제
 
88

Length

Max length5
Median length5
Mean length4.3995
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5153
51.5%
숙박업소 2845
28.4%
관광지 1536
 
15.4%
모범음식점 378
 
3.8%
문화축제 88
 
0.9%

Length

2023-12-11T09:45:16.239222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:16.358808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5153
51.5%
숙박업소 2845
28.4%
관광지 1536
 
15.4%
모범음식점 378
 
3.8%
문화축제 88
 
0.9%

관광상품명
Text

Distinct906
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:45:16.651289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.167
Min length1

Characters and Unicode

Total characters61670
Distinct characters580
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.4%

Sample

1st row시례호박소
2nd row밀가든
3rd row투피스커피
4th row밀양 엄마랑놀자 키즈글램핑
5th row밀성청국장
ValueCountFrequency (%)
밀양점 229
 
2.0%
카페 107
 
0.9%
풀빌라 82
 
0.7%
밀양삼문점 80
 
0.7%
키즈풀빌라 75
 
0.6%
밀양 68
 
0.6%
캠핑장 66
 
0.6%
펜션 58
 
0.5%
밀양본점 55
 
0.5%
표충사 54
 
0.5%
Other values (966) 10849
92.5%
2023-12-11T09:45:17.119704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
밀 1902
 
3.1%
양 1757
 
2.8%
1723
 
2.8%
장 1333
 
2.2%
리 1108
 
1.8%
션 1065
 
1.7%
펜 1045
 
1.7%
이 835
 
1.4%
점 806
 
1.3%
스 806
 
1.3%
Other values (570) 49290
79.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56750
92.0%
Space Separator 1723
 
2.8%
Decimal Number 1085
 
1.8%
Lowercase Letter 976
 
1.6%
Uppercase Letter 340
 
0.6%
Open Punctuation 283
 
0.5%
Close Punctuation 283
 
0.5%
Other Punctuation 230
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밀 1902
 
3.4%
양 1757
 
3.1%
장 1333
 
2.3%
리 1108
 
2.0%
션 1065
 
1.9%
펜 1045
 
1.8%
이 835
 
1.5%
점 806
 
1.4%
스 806
 
1.4%
핑 788
 
1.4%
Other values (521) 45305
79.8%
Uppercase Letter
ValueCountFrequency (%)
D 77
22.6%
C 54
15.9%
R 36
10.6%
M 28
 
8.2%
B 27
 
7.9%
G 16
 
4.7%
A 14
 
4.1%
V 14
 
4.1%
I 14
 
4.1%
P 14
 
4.1%
Other values (7) 46
13.5%
Lowercase Letter
ValueCountFrequency (%)
o 166
17.0%
e 152
15.6%
f 137
14.0%
a 91
9.3%
s 75
7.7%
r 63
 
6.5%
g 60
 
6.1%
t 52
 
5.3%
c 46
 
4.7%
n 44
 
4.5%
Other values (5) 90
9.2%
Decimal Number
ValueCountFrequency (%)
1 251
23.1%
9 177
16.3%
8 152
14.0%
3 137
12.6%
0 100
 
9.2%
4 89
 
8.2%
2 68
 
6.3%
5 66
 
6.1%
7 45
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 166
72.2%
/ 38
 
16.5%
: 10
 
4.3%
, 10
 
4.3%
. 6
 
2.6%
Space Separator
ValueCountFrequency (%)
1723
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56750
92.0%
Common 3604
 
5.8%
Latin 1316
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밀 1902
 
3.4%
양 1757
 
3.1%
장 1333
 
2.3%
리 1108
 
2.0%
션 1065
 
1.9%
펜 1045
 
1.8%
이 835
 
1.5%
점 806
 
1.4%
스 806
 
1.4%
핑 788
 
1.4%
Other values (521) 45305
79.8%
Latin
ValueCountFrequency (%)
o 166
12.6%
e 152
 
11.6%
f 137
 
10.4%
a 91
 
6.9%
D 77
 
5.9%
s 75
 
5.7%
r 63
 
4.8%
g 60
 
4.6%
C 54
 
4.1%
t 52
 
4.0%
Other values (22) 389
29.6%
Common
ValueCountFrequency (%)
1723
47.8%
( 283
 
7.9%
) 283
 
7.9%
1 251
 
7.0%
9 177
 
4.9%
& 166
 
4.6%
8 152
 
4.2%
3 137
 
3.8%
0 100
 
2.8%
4 89
 
2.5%
Other values (7) 243
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56750
92.0%
ASCII 4920
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
밀 1902
 
3.4%
양 1757
 
3.1%
장 1333
 
2.3%
리 1108
 
2.0%
션 1065
 
1.9%
펜 1045
 
1.8%
이 835
 
1.5%
점 806
 
1.4%
스 806
 
1.4%
핑 788
 
1.4%
Other values (521) 45305
79.8%
ASCII
ValueCountFrequency (%)
1723
35.0%
( 283
 
5.8%
) 283
 
5.8%
1 251
 
5.1%
9 177
 
3.6%
& 166
 
3.4%
o 166
 
3.4%
e 152
 
3.1%
8 152
 
3.1%
3 137
 
2.8%
Other values (39) 1430
29.1%

해시태그
Text

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:45:17.375285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.219
Min length1

Characters and Unicode

Total characters32190
Distinct characters253
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row놀이터
2nd row입식
3rd row맛집
4th row가족과함께
5th row테이크아웃
ValueCountFrequency (%)
가족과함께 517
 
5.2%
맛집 420
 
4.2%
힐링 371
 
3.7%
데이트 283
 
2.8%
편안한 283
 
2.8%
단체 251
 
2.5%
감성 248
 
2.5%
모임 229
 
2.3%
아이 214
 
2.1%
테이크아웃 208
 
2.1%
Other values (139) 6976
69.8%
2023-12-11T09:45:17.742509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1330
 
4.1%
가 1234
 
3.8%
한 1085
 
3.4%
집 814
 
2.5%
맛 798
 
2.5%
아 528
 
1.6%
과 517
 
1.6%
함 517
 
1.6%
께 517
 
1.6%
족 517
 
1.6%
Other values (243) 24333
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31559
98.0%
Uppercase Letter 307
 
1.0%
Other Punctuation 217
 
0.7%
Open Punctuation 51
 
0.2%
Close Punctuation 51
 
0.2%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1330
 
4.2%
가 1234
 
3.9%
한 1085
 
3.4%
집 814
 
2.6%
맛 798
 
2.5%
아 528
 
1.7%
과 517
 
1.6%
함 517
 
1.6%
께 517
 
1.6%
족 517
 
1.6%
Other values (234) 23702
75.1%
Uppercase Letter
ValueCountFrequency (%)
M 146
47.6%
Z 146
47.6%
S 10
 
3.3%
N 5
 
1.6%
Other Punctuation
ValueCountFrequency (%)
& 120
55.3%
/ 97
44.7%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Decimal Number
ValueCountFrequency (%)
8 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31559
98.0%
Common 324
 
1.0%
Latin 307
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1330
 
4.2%
가 1234
 
3.9%
한 1085
 
3.4%
집 814
 
2.6%
맛 798
 
2.5%
아 528
 
1.7%
과 517
 
1.6%
함 517
 
1.6%
께 517
 
1.6%
족 517
 
1.6%
Other values (234) 23702
75.1%
Common
ValueCountFrequency (%)
& 120
37.0%
/ 97
29.9%
( 51
15.7%
) 51
15.7%
8 5
 
1.5%
Latin
ValueCountFrequency (%)
M 146
47.6%
Z 146
47.6%
S 10
 
3.3%
N 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31559
98.0%
ASCII 631
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1330
 
4.2%
가 1234
 
3.9%
한 1085
 
3.4%
집 814
 
2.6%
맛 798
 
2.5%
아 528
 
1.7%
과 517
 
1.6%
함 517
 
1.6%
께 517
 
1.6%
족 517
 
1.6%
Other values (234) 23702
75.1%
ASCII
ValueCountFrequency (%)
M 146
23.1%
Z 146
23.1%
& 120
19.0%
/ 97
15.4%
( 51
 
8.1%
) 51
 
8.1%
S 10
 
1.6%
8 5
 
0.8%
N 5
 
0.8%

해시태그분류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
방문목적
4386 
분위기
2186 
동반유형
2096 
편의시설
970 
방문시기
 
362

Length

Max length4
Median length4
Mean length3.7814
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row편의시설
2nd row방문목적
3rd row방문목적
4th row동반유형
5th row방문목적

Common Values

ValueCountFrequency (%)
방문목적 4386
43.9%
분위기 2186
21.9%
동반유형 2096
21.0%
편의시설 970
 
9.7%
방문시기 362
 
3.6%

Length

2023-12-11T09:45:17.855412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:17.950279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문목적 4386
43.9%
분위기 2186
21.9%
동반유형 2096
21.0%
편의시설 970
 
9.7%
방문시기 362
 
3.6%

정렬순서
Real number (ℝ)

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2327
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:45:18.084087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q314
95-th percentile26
Maximum48
Range47
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.9231072
Coefficient of variation (CV)0.77429293
Kurtosis1.305629
Mean10.2327
Median Absolute Deviation (MAD)5
Skewness1.1721581
Sum102327
Variance62.775628
MonotonicityNot monotonic
2023-12-11T09:45:18.219492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 743
 
7.4%
2 733
 
7.3%
3 693
 
6.9%
4 672
 
6.7%
5 598
 
6.0%
6 558
 
5.6%
7 535
 
5.3%
8 515
 
5.1%
9 510
 
5.1%
10 484
 
4.8%
Other values (38) 3959
39.6%
ValueCountFrequency (%)
1 743
7.4%
2 733
7.3%
3 693
6.9%
4 672
6.7%
5 598
6.0%
6 558
5.6%
7 535
5.3%
8 515
5.1%
9 510
5.1%
10 484
4.8%
ValueCountFrequency (%)
48 1
 
< 0.1%
47 2
 
< 0.1%
46 3
 
< 0.1%
45 3
 
< 0.1%
44 4
< 0.1%
43 4
< 0.1%
42 7
0.1%
41 6
0.1%
40 9
0.1%
39 9
0.1%

생성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-21
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-21
2nd row2022-11-21
3rd row2022-11-21
4th row2022-11-21
5th row2022-11-21

Common Values

ValueCountFrequency (%)
2022-11-21 10000
100.0%

Length

2023-12-11T09:45:18.341600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:18.424215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-21 10000
100.0%

Interactions

2023-12-11T09:45:14.516038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:13.804175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.149266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.641525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:13.924589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.283936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.767532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.039263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:14.394182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:45:18.473865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호(ID)관광상품번호(NameID)관광상품분류해시태그분류정렬순서
번호(ID)1.0000.3020.3790.1250.119
관광상품번호(NameID)0.3021.0001.0000.3730.204
관광상품분류0.3791.0001.0000.6150.253
해시태그분류0.1250.3730.6151.0000.268
정렬순서0.1190.2040.2530.2681.000
2023-12-11T09:45:18.564293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해시태그분류관광상품분류
해시태그분류1.0000.270
관광상품분류0.2701.000
2023-12-11T09:45:18.638450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호(ID)관광상품번호(NameID)정렬순서관광상품분류해시태그분류
번호(ID)1.000-0.018-0.0120.1660.052
관광상품번호(NameID)-0.0181.000-0.1611.0000.312
정렬순서-0.012-0.1611.0000.1080.115
관광상품분류0.1661.0000.1081.0000.270
해시태그분류0.0520.3120.1150.2701.000

Missing values

2023-12-11T09:45:14.929484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:45:15.099631image/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

번호(ID)관광상품번호(NameID)관광상품분류관광상품명해시태그해시태그분류정렬순서생성일
682780068281000056관광지시례호박소놀이터편의시설232022-11-21
358080035814000214일반음식점밀가든입식방문목적292022-11-21
1074480107454000151일반음식점투피스커피맛집방문목적22022-11-21
371380037143000076숙박업소밀양 엄마랑놀자 키즈글램핑가족과함께동반유형162022-11-21
364480036454001024일반음식점밀성청국장테이크아웃방문목적122022-11-21
220980022104001380모범음식점도천진짜순대 얼음골점술안주로좋은분위기122022-11-21
665880066593000197숙박업소스마일펜션어메니티편의시설132022-11-21
1049580104964000262일반음식점카페지엘이팝나무방문목적202022-11-21
1173480117353000085숙박업소호반캠핑장뷰맛집방문목적162022-11-21
528680052874000839일반음식점불향소반쭈꾸미 밀양본점테이크아웃방문목적92022-11-21
번호(ID)관광상품번호(NameID)관광상품분류관광상품명해시태그해시태그분류정렬순서생성일
1119780111983000218숙박업소핑크트리 풀빌라별보기좋은분위기252022-11-21
247880024793000075숙박업소똑똑풀빌라키즈독채펜션온돌편의시설302022-11-21
572580057264001040모범음식점산촌농원힐링분위기122022-11-21
580380058044000476일반음식점삼랑진짬뽕입식방문목적162022-11-21
700680070073000200숙박업소아람펜션독채방문목적82022-11-21
821080082114000012일반음식점오로라힐스가족과함께동반유형32022-11-21
478680047874000527일반음식점밀양황토참숯불생오리본점몸보신방문목적32022-11-21
814780081484000461일반음식점예전얼큰한방문목적72022-11-21
740380074042000009문화축제어린이날기념행사아이동반유형12022-11-21
808580080861000062관광지영산정사외국인국내관광방문목적112022-11-21