Overview

Dataset statistics

Number of variables9
Number of observations61
Missing cells12
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory76.2 B

Variable types

Numeric2
Categorical4
Text3

Dataset

Description경상남도 진주시 관내 숙박업소(호텔,모텔,게스트하우스 등)에 대한 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15097732

Alerts

시도 has constant value ""Constant
이용료 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 이용료 and 2 other fieldsHigh correlation
분류 is highly overall correlated with 이용료 and 1 other fieldsHigh correlation
데이터수집일 is highly overall correlated with 시군구High correlation
시군구 is highly imbalanced (87.9%)Imbalance
전화번호 has 12 (19.7%) missing valuesMissing
번호 has unique valuesUnique
업소명 has unique valuesUnique
이용료 has 4 (6.6%) zerosZeros

Reproduction

Analysis started2023-12-10 23:36:14.757819
Analysis finished2023-12-10 23:36:15.867412
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000031
Minimum2000001
Maximum2000061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:36:15.953938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000001
5-th percentile2000004
Q12000016
median2000031
Q32000046
95-th percentile2000058
Maximum2000061
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)8.8763294 × 10-6
Kurtosis-1.2
Mean2000031
Median Absolute Deviation (MAD)15
Skewness0
Sum1.2200189 × 108
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T08:36:16.332313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000001 1
 
1.6%
2000047 1
 
1.6%
2000034 1
 
1.6%
2000035 1
 
1.6%
2000036 1
 
1.6%
2000037 1
 
1.6%
2000038 1
 
1.6%
2000039 1
 
1.6%
2000040 1
 
1.6%
2000041 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
2000001 1
1.6%
2000002 1
1.6%
2000003 1
1.6%
2000004 1
1.6%
2000005 1
1.6%
2000006 1
1.6%
2000007 1
1.6%
2000008 1
1.6%
2000009 1
1.6%
2000010 1
1.6%
ValueCountFrequency (%)
2000061 1
1.6%
2000060 1
1.6%
2000059 1
1.6%
2000058 1
1.6%
2000057 1
1.6%
2000056 1
1.6%
2000055 1
1.6%
2000054 1
1.6%
2000053 1
1.6%
2000052 1
1.6%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
경상남도
61 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 61
100.0%

Length

2023-12-11T08:36:16.464315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:36:16.551567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 61
100.0%

시군구
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
진주시
60 
산청군
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
진주시 60
98.4%
산청군 1
 
1.6%

Length

2023-12-11T08:36:16.644719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:36:16.738661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 60
98.4%
산청군 1
 
1.6%

분류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
모텔
23 
호텔
17 
게스트하우스
9 
펜션
5 
주택
3 
Other values (3)
4 

Length

Max length6
Median length2
Mean length2.6065574
Min length2

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row모텔
2nd row호텔
3rd row호텔
4th row주택
5th row모텔

Common Values

ValueCountFrequency (%)
모텔 23
37.7%
호텔 17
27.9%
게스트하우스 9
 
14.8%
펜션 5
 
8.2%
주택 3
 
4.9%
캠핑 2
 
3.3%
글램핑 1
 
1.6%
기타 1
 
1.6%

Length

2023-12-11T08:36:16.865109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:36:16.982051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모텔 23
37.7%
호텔 17
27.9%
게스트하우스 9
 
14.8%
펜션 5
 
8.2%
주택 3
 
4.9%
캠핑 2
 
3.3%
글램핑 1
 
1.6%
기타 1
 
1.6%

이용료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63784.246
Minimum0
Maximum229000
Zeros4
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:36:17.130593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140000
median50000
Q380000
95-th percentile156300
Maximum229000
Range229000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation45332.453
Coefficient of variation (CV)0.71071552
Kurtosis3.0996904
Mean63784.246
Median Absolute Deviation (MAD)11000
Skewness1.6009341
Sum3890839
Variance2.0550313 × 109
MonotonicityNot monotonic
2023-12-11T08:36:17.266398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
40000 10
16.4%
50000 7
 
11.5%
0 4
 
6.6%
30000 4
 
6.6%
45000 4
 
6.6%
60000 3
 
4.9%
39000 3
 
4.9%
100000 2
 
3.3%
120000 2
 
3.3%
106000 2
 
3.3%
Other values (19) 20
32.8%
ValueCountFrequency (%)
0 4
 
6.6%
20000 1
 
1.6%
30000 4
 
6.6%
35000 1
 
1.6%
39000 3
 
4.9%
39900 1
 
1.6%
40000 10
16.4%
45000 4
 
6.6%
50000 7
11.5%
51000 1
 
1.6%
ValueCountFrequency (%)
229000 1
1.6%
200000 1
1.6%
168000 1
1.6%
156300 1
1.6%
140000 1
1.6%
120000 2
3.3%
116996 1
1.6%
106000 2
3.3%
100000 2
3.3%
90000 1
1.6%

업소명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:36:17.553461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.7540984
Min length3

Characters and Unicode

Total characters412
Distinct characters154
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

Unique61 ?
Unique (%)100.0%

Sample

1st rowG&G모텔
2nd row골든비즈니스호텔
3rd row골든튤립호텔남강
4th row공원속회색벽돌집
5th row나인호텔
ValueCountFrequency (%)
브라운도트호텔 2
 
3.1%
g&g모텔 1
 
1.6%
여우비호텔 1
 
1.6%
이프호텔 1
 
1.6%
제네시스호텔 1
 
1.6%
제이스퀘어호텔 1
 
1.6%
제이원빌리지 1
 
1.6%
조은게스트하우스 1
 
1.6%
42무인텔 1
 
1.6%
진주게스트하우스(더패밀리호텔 1
 
1.6%
Other values (53) 53
82.8%
2023-12-11T08:36:17.975882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 41
 
10.0%
호 35
 
8.5%
스 24
 
5.8%
이 12
 
2.9%
트 11
 
2.7%
우 10
 
2.4%
하 9
 
2.2%
인 7
 
1.7%
리 7
 
1.7%
라 7
 
1.7%
Other values (144) 249
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
94.4%
Uppercase Letter 7
 
1.7%
Decimal Number 5
 
1.2%
Lowercase Letter 4
 
1.0%
Space Separator 3
 
0.7%
Other Punctuation 2
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 41
 
10.5%
호 35
 
9.0%
스 24
 
6.2%
이 12
 
3.1%
트 11
 
2.8%
우 10
 
2.6%
하 9
 
2.3%
인 7
 
1.8%
리 7
 
1.8%
라 7
 
1.8%
Other values (129) 226
58.1%
Uppercase Letter
ValueCountFrequency (%)
G 3
42.9%
H 1
 
14.3%
I 1
 
14.3%
A 1
 
14.3%
K 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
s 1
25.0%
e 1
25.0%
u 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
4 2
40.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
94.4%
Common 12
 
2.9%
Latin 11
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 41
 
10.5%
호 35
 
9.0%
스 24
 
6.2%
이 12
 
3.1%
트 11
 
2.8%
우 10
 
2.6%
하 9
 
2.3%
인 7
 
1.8%
리 7
 
1.8%
라 7
 
1.8%
Other values (129) 226
58.1%
Latin
ValueCountFrequency (%)
G 3
27.3%
H 1
 
9.1%
t 1
 
9.1%
s 1
 
9.1%
e 1
 
9.1%
u 1
 
9.1%
I 1
 
9.1%
A 1
 
9.1%
K 1
 
9.1%
Common
ValueCountFrequency (%)
3
25.0%
2 3
25.0%
4 2
16.7%
& 2
16.7%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
94.4%
ASCII 23
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 41
 
10.5%
호 35
 
9.0%
스 24
 
6.2%
이 12
 
3.1%
트 11
 
2.8%
우 10
 
2.6%
하 9
 
2.3%
인 7
 
1.8%
리 7
 
1.8%
라 7
 
1.8%
Other values (129) 226
58.1%
ASCII
ValueCountFrequency (%)
3
13.0%
G 3
13.0%
2 3
13.0%
4 2
 
8.7%
& 2
 
8.7%
( 1
 
4.3%
H 1
 
4.3%
t 1
 
4.3%
s 1
 
4.3%
e 1
 
4.3%
Other values (5) 5
21.7%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:36:18.254909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length20.934426
Min length12

Characters and Unicode

Total characters1277
Distinct characters99
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row경상남도 진주시 북장대로64번길 20
2nd row경상남도 진주시 에나로 101
3rd row경상남도 진주시 남강로673번길 16 골든튤립호텔남강
4th row경상남도 진주시 평거동
5th row경상남도 진주시 남강로 629-5
ValueCountFrequency (%)
경상남도 61
22.4%
진주시 60
22.1%
정촌면 5
 
1.8%
대평면 4
 
1.5%
돗골로20번길 3
 
1.1%
논개길 3
 
1.1%
5 3
 
1.1%
영천강로 3
 
1.1%
에나로 3
 
1.1%
화개천로54번길 3
 
1.1%
Other values (110) 124
45.6%
2023-12-11T08:36:18.717454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
16.5%
남 72
 
5.6%
진 68
 
5.3%
주 67
 
5.2%
시 63
 
4.9%
경 62
 
4.9%
도 62
 
4.9%
상 61
 
4.8%
로 53
 
4.2%
1 46
 
3.6%
Other values (89) 512
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 799
62.6%
Decimal Number 242
 
19.0%
Space Separator 211
 
16.5%
Dash Punctuation 25
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 72
 
9.0%
진 68
 
8.5%
주 67
 
8.4%
시 63
 
7.9%
경 62
 
7.8%
도 62
 
7.8%
상 61
 
7.6%
로 53
 
6.6%
길 35
 
4.4%
번 31
 
3.9%
Other values (77) 225
28.2%
Decimal Number
ValueCountFrequency (%)
1 46
19.0%
3 39
16.1%
5 26
10.7%
6 26
10.7%
2 26
10.7%
4 23
9.5%
9 18
 
7.4%
0 16
 
6.6%
7 12
 
5.0%
8 10
 
4.1%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 799
62.6%
Common 478
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 72
 
9.0%
진 68
 
8.5%
주 67
 
8.4%
시 63
 
7.9%
경 62
 
7.8%
도 62
 
7.8%
상 61
 
7.6%
로 53
 
6.6%
길 35
 
4.4%
번 31
 
3.9%
Other values (77) 225
28.2%
Common
ValueCountFrequency (%)
211
44.1%
1 46
 
9.6%
3 39
 
8.2%
5 26
 
5.4%
6 26
 
5.4%
2 26
 
5.4%
- 25
 
5.2%
4 23
 
4.8%
9 18
 
3.8%
0 16
 
3.3%
Other values (2) 22
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 799
62.6%
ASCII 478
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
44.1%
1 46
 
9.6%
3 39
 
8.2%
5 26
 
5.4%
6 26
 
5.4%
2 26
 
5.4%
- 25
 
5.2%
4 23
 
4.8%
9 18
 
3.8%
0 16
 
3.3%
Other values (2) 22
 
4.6%
Hangul
ValueCountFrequency (%)
남 72
 
9.0%
진 68
 
8.5%
주 67
 
8.4%
시 63
 
7.9%
경 62
 
7.8%
도 62
 
7.8%
상 61
 
7.6%
로 53
 
6.6%
길 35
 
4.4%
번 31
 
3.9%
Other values (77) 225
28.2%

전화번호
Text

MISSING 

Distinct45
Distinct (%)91.8%
Missing12
Missing (%)19.7%
Memory size620.0 B
2023-12-11T08:36:18.981057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.367347
Min length12

Characters and Unicode

Total characters606
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

Unique43 ?
Unique (%)87.8%

Sample

1st row055-741-0036
2nd row055-756-0031
3rd row055-760-9600
4th row080-822-0230
5th row055-744-3312
ValueCountFrequency (%)
080-822-0230 4
 
8.2%
055-760-1700 2
 
4.1%
055-753-3337 1
 
2.0%
0507-1408-0711 1
 
2.0%
0507-1451-4016 1
 
2.0%
055-743-5895 1
 
2.0%
055-743-8222 1
 
2.0%
055-748-8870 1
 
2.0%
0507-1419-0022 1
 
2.0%
055-762-7717 1
 
2.0%
Other values (35) 35
71.4%
2023-12-11T08:36:19.442476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
19.1%
5 107
17.7%
- 98
16.2%
7 67
11.1%
1 43
 
7.1%
4 39
 
6.4%
2 32
 
5.3%
3 31
 
5.1%
6 30
 
5.0%
8 29
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
83.8%
Dash Punctuation 98
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
22.8%
5 107
21.1%
7 67
13.2%
1 43
 
8.5%
4 39
 
7.7%
2 32
 
6.3%
3 31
 
6.1%
6 30
 
5.9%
8 29
 
5.7%
9 14
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 606
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
19.1%
5 107
17.7%
- 98
16.2%
7 67
11.1%
1 43
 
7.1%
4 39
 
6.4%
2 32
 
5.3%
3 31
 
5.1%
6 30
 
5.0%
8 29
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
19.1%
5 107
17.7%
- 98
16.2%
7 67
11.1%
1 43
 
7.1%
4 39
 
6.4%
2 32
 
5.3%
3 31
 
5.1%
6 30
 
5.0%
8 29
 
4.8%

데이터수집일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
2021-07-29
35 
2021-07-28
13 
2021-08-03
5 
2021-07-30
 
3
2021-08-02
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-29
2nd row2021-07-29
3rd row2021-07-29
4th row2021-07-29
5th row2021-07-28

Common Values

ValueCountFrequency (%)
2021-07-29 35
57.4%
2021-07-28 13
 
21.3%
2021-08-03 5
 
8.2%
2021-07-30 3
 
4.9%
2021-08-02 3
 
4.9%
2021-11-18 2
 
3.3%

Length

2023-12-11T08:36:19.632250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:36:19.754324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-29 35
57.4%
2021-07-28 13
 
21.3%
2021-08-03 5
 
8.2%
2021-07-30 3
 
4.9%
2021-08-02 3
 
4.9%
2021-11-18 2
 
3.3%

Interactions

2023-12-11T08:36:15.423119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:36:15.252598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:36:15.501772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:36:15.335730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:36:19.863053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구분류이용료업소명주소전화번호데이터수집일
번호1.0000.0710.0000.2211.0000.8640.8450.496
시군구0.0711.0000.8330.8011.0001.0001.0000.860
분류0.0000.8331.0000.7821.0001.0000.0000.550
이용료0.2210.8010.7821.0001.0001.0000.0000.551
업소명1.0001.0001.0001.0001.0001.0001.0001.000
주소0.8641.0001.0001.0001.0001.0000.9940.855
전화번호0.8451.0000.0000.0001.0000.9941.0000.889
데이터수집일0.4960.8600.5500.5511.0000.8550.8891.000
2023-12-11T08:36:20.001920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구데이터수집일분류
시군구1.0000.6440.618
데이터수집일0.6441.0000.336
분류0.6180.3361.000
2023-12-11T08:36:20.096548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호이용료시군구분류데이터수집일
번호1.000-0.0220.0530.0000.280
이용료-0.0221.0000.5890.5140.313
시군구0.0530.5891.0000.6180.644
분류0.0000.5140.6181.0000.336
데이터수집일0.2800.3130.6440.3361.000

Missing values

2023-12-11T08:36:15.617052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:36:15.798881image/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

번호시도시군구분류이용료업소명주소전화번호데이터수집일
02000001경상남도진주시모텔40000G&G모텔경상남도 진주시 북장대로64번길 20055-741-00362021-07-29
12000002경상남도진주시호텔56070골든비즈니스호텔경상남도 진주시 에나로 101055-756-00312021-07-29
22000003경상남도진주시호텔77000골든튤립호텔남강경상남도 진주시 남강로673번길 16 골든튤립호텔남강055-760-96002021-07-29
32000004경상남도진주시주택0공원속회색벽돌집경상남도 진주시 평거동080-822-02302021-07-29
42000005경상남도진주시모텔50000나인호텔경상남도 진주시 남강로 629-5055-744-33122021-07-28
52000006경상남도진주시게스트하우스116996남쪽봄경상남도 진주시 주약동 133-93080-822-02302021-07-29
62000007경상남도진주시호텔50000뉴그랜드호텔경상남도 진주시 에나로 97 5층 뉴그랜드호텔055-756-77772021-07-29
72000008경상남도진주시호텔53574뉴라온스테이호텔경상남도 진주시 영천강로 166055-751-11112021-07-29
82000009경상남도진주시호텔45000뉴요커호텔경상남도 진주시 비봉로50번길 11-1055-744-58582021-07-30
92000010경상남도진주시모텔35000다인모텔경상남도 진주시 진주대로920번길 5-7055-754-34122021-07-29
번호시도시군구분류이용료업소명주소전화번호데이터수집일
512000052경상남도진주시호텔40000호텔시카고경상남도 진주시 진양호로564번길 30507-1436-89282021-07-29
522000053경상남도진주시모텔40000호텔케미경상남도 진주시 돗골로20번길 7055-759-08862021-08-03
532000054경상남도진주시호텔50000호텔다옴경상남도 진주시 대신로292번길 5055-762-00962021-08-02
542000055경상남도진주시호텔106000호텔동방경상남도 진주시 논개길 103 동방호텔055-760-17002021-07-29
552000056경상남도진주시모텔0호텔로그인무인텔경상남도 진주시 정촌면 화개천로54번길 33-160507-1377-01412021-07-29
562000057경상남도진주시호텔40000호텔보보경상남도 진주시 돗골로20번길 11 호텔보보0507-1409-07142021-07-29
572000058경상남도진주시모텔50000호텔온도경상남도 진주시 도동천로 189055-753-33372021-07-29
582000059경상남도진주시모텔39900호텔코코경상남도 진주시 남강로736번길 80507-1377-85802021-07-29
592000060경상남도산청군캠핑140000라이온네이저 빌리지경상남도 산청군 삼장면 대하내원로 5660507-1451-40162021-11-18
602000061경상남도진주시게스트하우스200000문갤러리카페&게스트하우스경상남도 진주시 천수로 245-2 문갤러리카페055-763-72762021-11-18