Overview

Dataset statistics

Number of variables9
Number of observations168
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory73.8 B

Variable types

Numeric1
Categorical5
Text3

Dataset

Description경상남도 진주시 관광지(자연명소, 문화재, 공원 등)에 대한 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15097733

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
분류 is highly overall correlated with 이용시간High correlation
이용시간 is highly overall correlated with 분류High correlation
이용시간 is highly imbalanced (56.2%)Imbalance
전화번호 has 2 (1.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:31:09.565155
Analysis finished2023-12-10 23:31:10.382791
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3000084.5
Minimum3000001
Maximum3000168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T08:31:10.459249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000001
5-th percentile3000009.4
Q13000042.8
median3000084.5
Q33000126.2
95-th percentile3000159.6
Maximum3000168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)1.6213392 × 10-5
Kurtosis-1.2
Mean3000084.5
Median Absolute Deviation (MAD)42
Skewness0
Sum5.040142 × 108
Variance2366
MonotonicityStrictly increasing
2023-12-11T08:31:10.604758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000001 1
 
0.6%
3000117 1
 
0.6%
3000109 1
 
0.6%
3000110 1
 
0.6%
3000111 1
 
0.6%
3000112 1
 
0.6%
3000113 1
 
0.6%
3000114 1
 
0.6%
3000115 1
 
0.6%
3000116 1
 
0.6%
Other values (158) 158
94.0%
ValueCountFrequency (%)
3000001 1
0.6%
3000002 1
0.6%
3000003 1
0.6%
3000004 1
0.6%
3000005 1
0.6%
3000006 1
0.6%
3000007 1
0.6%
3000008 1
0.6%
3000009 1
0.6%
3000010 1
0.6%
ValueCountFrequency (%)
3000168 1
0.6%
3000167 1
0.6%
3000166 1
0.6%
3000165 1
0.6%
3000164 1
0.6%
3000163 1
0.6%
3000162 1
0.6%
3000161 1
0.6%
3000160 1
0.6%
3000159 1
0.6%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경상남도
168 

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 168
100.0%

Length

2023-12-11T08:31:10.737187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:10.854125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 168
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
진주시
168 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주시 168
100.0%

Length

2023-12-11T08:31:10.970443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:11.085258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주시 168
100.0%

분류
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
자연명소
48 
명소
47 
문화재
20 
공원
13 
체험관
12 
Other values (12)
28 

Length

Max length8
Median length4
Mean length3.0119048
Min length2

Unique

Unique6 ?
Unique (%)3.6%

Sample

1st row자연명소
2nd row체험관
3rd row자연명소
4th row자연명소
5th row자연명소

Common Values

ValueCountFrequency (%)
자연명소 48
28.6%
명소 47
28.0%
문화재 20
11.9%
공원 13
 
7.7%
체험관 12
 
7.1%
박물관 10
 
6.0%
전통사찰 4
 
2.4%
테마파크 2
 
1.2%
영화드라마촬영지 2
 
1.2%
공방 2
 
1.2%
Other values (7) 8
 
4.8%

Length

2023-12-11T08:31:11.212005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자연명소 48
28.6%
명소 47
28.0%
문화재 20
11.9%
공원 13
 
7.7%
체험관 12
 
7.1%
박물관 10
 
6.0%
전통사찰 4
 
2.4%
공방 2
 
1.2%
기차역 2
 
1.2%
영화드라마촬영지 2
 
1.2%
Other values (7) 8
 
4.8%

이용시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct46
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
상시 이용가능
120 
하절기(3월-10월)05:00~23:00/동절기(11월-2월)05:00~22:00
 
3
매일/09:00~18:00
 
2
매일/10:30~13:30
 
1
매일/09:00~17:00(3월-12월)/10:00상시 이용가능16:00(1월-2월)&휴관일:월요일/1월1일/설날/추석/대체공휴일포함휴관
 
1
Other values (41)
41 

Length

Max length77
Median length7
Mean length14.172619
Min length7

Unique

Unique43 ?
Unique (%)25.6%

Sample

1st row상시 이용가능
2nd row매일/09:00~18:00
3rd row상시 이용가능
4th row상시 이용가능
5th row상시 이용가능

Common Values

ValueCountFrequency (%)
상시 이용가능 120
71.4%
하절기(3월-10월)05:00~23:00/동절기(11월-2월)05:00~22:00 3
 
1.8%
매일/09:00~18:00 2
 
1.2%
매일/10:30~13:30 1
 
0.6%
매일/09:00~17:00(3월-12월)/10:00상시 이용가능16:00(1월-2월)&휴관일:월요일/1월1일/설날/추석/대체공휴일포함휴관 1
 
0.6%
매일/10:00~18:00/휴원일:월요일휴무&설날및추석 1
 
0.6%
평일/09:00~18:30 1
 
0.6%
평일10:00~17:00/점심시간:12:00~13:00(관람불가) 1
 
0.6%
휴원일:월요일&1월1일&설날및추석휴관 1
 
0.6%
동절기(11~2월)09:00~17:00/하절기(3~10월)09:00~18:00/휴원일:매주월요일&1월1일&설날&추석 1
 
0.6%
Other values (36) 36
 
21.4%

Length

2023-12-11T08:31:11.357858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상시 120
41.5%
이용가능 120
41.5%
하절기(3월-10월)05:00~23:00/동절기(11월-2월)05:00~22:00 3
 
1.0%
매일/09:00~18:00 2
 
0.7%
평일09:00~18:00/주말09:00~19:00 1
 
0.3%
평일/09:00~17:00(주말10명이상예약시운영 1
 
0.3%
코로나19로인한임시휴관 1
 
0.3%
2020년10월16일~11월28일/매주금토/19:30/20:00/20:30 1
 
0.3%
매월첫째주월요일/신정/설/추석연휴/도서관장공고일휴무/07:00~22:00 1
 
0.3%
매일/10:30~20:00(1월1일/설날/추석당일13:00영업함 1
 
0.3%
Other values (38) 38
 
13.1%

관광지명
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:31:11.673367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length6.2559524
Min length2

Characters and Unicode

Total characters1051
Distinct characters261
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

Unique166 ?
Unique (%)98.8%

Sample

1st row가로수길
2nd row가뫼골마을
3rd row가좌산
4th row가좌산대나무숲길
5th row가좌산도심속의테마숲길
ValueCountFrequency (%)
월아산 3
 
1.6%
토지주택박물관 2
 
1.0%
경상국립대학교 2
 
1.0%
진주점 2
 
1.0%
진양호 2
 
1.0%
진주버스터미널 1
 
0.5%
진주교 1
 
0.5%
호반 1
 
0.5%
전망대 1
 
0.5%
진양호공원 1
 
0.5%
Other values (175) 175
91.6%
2023-12-11T08:31:12.089028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 54
 
5.1%
주 47
 
4.5%
산 27
 
2.6%
원 25
 
2.4%
23
 
2.2%
공 21
 
2.0%
남 19
 
1.8%
관 16
 
1.5%
봉 16
 
1.5%
길 16
 
1.5%
Other values (251) 787
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1018
96.9%
Space Separator 23
 
2.2%
Decimal Number 4
 
0.4%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 54
 
5.3%
주 47
 
4.6%
산 27
 
2.7%
원 25
 
2.5%
공 21
 
2.1%
남 19
 
1.9%
관 16
 
1.6%
봉 16
 
1.6%
길 16
 
1.6%
사 15
 
1.5%
Other values (244) 762
74.9%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
2 1
25.0%
1 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1018
96.9%
Common 33
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 54
 
5.3%
주 47
 
4.6%
산 27
 
2.7%
원 25
 
2.5%
공 21
 
2.1%
남 19
 
1.9%
관 16
 
1.6%
봉 16
 
1.6%
길 16
 
1.6%
사 15
 
1.5%
Other values (244) 762
74.9%
Common
ValueCountFrequency (%)
23
69.7%
( 3
 
9.1%
) 3
 
9.1%
5 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%
4 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1018
96.9%
ASCII 33
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 54
 
5.3%
주 47
 
4.6%
산 27
 
2.7%
원 25
 
2.5%
공 21
 
2.1%
남 19
 
1.9%
관 16
 
1.6%
봉 16
 
1.6%
길 16
 
1.6%
사 15
 
1.5%
Other values (244) 762
74.9%
ASCII
ValueCountFrequency (%)
23
69.7%
( 3
 
9.1%
) 3
 
9.1%
5 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%
4 1
 
3.0%

주소
Text

Distinct152
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:31:12.405707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length20.011905
Min length12

Characters and Unicode

Total characters3362
Distinct characters179
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

Unique141 ?
Unique (%)83.9%

Sample

1st row경상남도 진주시 진양호로531번길 9
2nd row경상남도 진주시 명석면 관덕길 174
3rd row경상남도 진주시 가좌동
4th row경상남도 진주시 가좌동, 가좌산 내
5th row경상남도 진주시 가좌동 1397-26 연암공대 운동장 부근
ValueCountFrequency (%)
경상남도 168
22.6%
진주시 168
22.6%
남강로 12
 
1.6%
금산면 10
 
1.3%
명석면 8
 
1.1%
진주대로 7
 
0.9%
남강로1번길 7
 
0.9%
내동면 7
 
0.9%
평거동 7
 
0.9%
정촌면 6
 
0.8%
Other values (265) 345
46.3%
2023-12-11T08:31:12.835993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
17.2%
진 208
 
6.2%
남 195
 
5.8%
주 194
 
5.8%
상 181
 
5.4%
시 175
 
5.2%
경 175
 
5.2%
도 169
 
5.0%
1 116
 
3.5%
로 92
 
2.7%
Other values (169) 1280
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2203
65.5%
Space Separator 577
 
17.2%
Decimal Number 525
 
15.6%
Dash Punctuation 44
 
1.3%
Other Punctuation 6
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 208
 
9.4%
남 195
 
8.9%
주 194
 
8.8%
상 181
 
8.2%
시 175
 
7.9%
경 175
 
7.9%
도 169
 
7.7%
로 92
 
4.2%
동 60
 
2.7%
길 57
 
2.6%
Other values (150) 697
31.6%
Decimal Number
ValueCountFrequency (%)
1 116
22.1%
6 59
11.2%
3 59
11.2%
5 57
10.9%
2 54
10.3%
9 41
 
7.8%
4 38
 
7.2%
7 35
 
6.7%
8 35
 
6.7%
0 31
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 5
83.3%
, 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2203
65.5%
Common 1158
34.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 208
 
9.4%
남 195
 
8.9%
주 194
 
8.8%
상 181
 
8.2%
시 175
 
7.9%
경 175
 
7.9%
도 169
 
7.7%
로 92
 
4.2%
동 60
 
2.7%
길 57
 
2.6%
Other values (150) 697
31.6%
Common
ValueCountFrequency (%)
577
49.8%
1 116
 
10.0%
6 59
 
5.1%
3 59
 
5.1%
5 57
 
4.9%
2 54
 
4.7%
- 44
 
3.8%
9 41
 
3.5%
4 38
 
3.3%
7 35
 
3.0%
Other values (8) 78
 
6.7%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2203
65.5%
ASCII 1159
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
49.8%
1 116
 
10.0%
6 59
 
5.1%
3 59
 
5.1%
5 57
 
4.9%
2 54
 
4.7%
- 44
 
3.8%
9 41
 
3.5%
4 38
 
3.3%
7 35
 
3.0%
Other values (9) 79
 
6.8%
Hangul
ValueCountFrequency (%)
진 208
 
9.4%
남 195
 
8.9%
주 194
 
8.8%
상 181
 
8.2%
시 175
 
7.9%
경 175
 
7.9%
도 169
 
7.7%
로 92
 
4.2%
동 60
 
2.7%
길 57
 
2.6%
Other values (150) 697
31.6%

전화번호
Text

MISSING 

Distinct105
Distinct (%)63.3%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2023-12-11T08:31:13.098413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.277108
Min length9

Characters and Unicode

Total characters2038
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)50.0%

Sample

1st row055-747-5673
2nd row055-746-2214
3rd row055-749-5351
4th row055-749-5351/055-749-4531
5th row055-749-5351/055-749-4531
ValueCountFrequency (%)
055-749-5321 13
 
7.8%
055-749-5351 10
 
6.0%
055-749-5312 10
 
6.0%
055-749-8575 6
 
3.6%
055-749-4431 6
 
3.6%
055-749-5171 4
 
2.4%
055-749-5933 3
 
1.8%
055-749-5323 3
 
1.8%
055-749-4531 2
 
1.2%
055-741-2151 2
 
1.2%
Other values (95) 107
64.5%
2023-12-11T08:31:13.512071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 465
22.8%
- 335
16.4%
0 230
11.3%
7 217
10.6%
4 196
9.6%
1 156
 
7.7%
9 146
 
7.2%
3 118
 
5.8%
2 86
 
4.2%
6 45
 
2.2%
Other values (2) 44
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1699
83.4%
Dash Punctuation 335
 
16.4%
Other Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 465
27.4%
0 230
13.5%
7 217
12.8%
4 196
11.5%
1 156
 
9.2%
9 146
 
8.6%
3 118
 
6.9%
2 86
 
5.1%
6 45
 
2.6%
8 40
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 335
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2038
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 465
22.8%
- 335
16.4%
0 230
11.3%
7 217
10.6%
4 196
9.6%
1 156
 
7.7%
9 146
 
7.2%
3 118
 
5.8%
2 86
 
4.2%
6 45
 
2.2%
Other values (2) 44
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2038
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 465
22.8%
- 335
16.4%
0 230
11.3%
7 217
10.6%
4 196
9.6%
1 156
 
7.7%
9 146
 
7.2%
3 118
 
5.8%
2 86
 
4.2%
6 45
 
2.2%
Other values (2) 44
 
2.2%

데이터수집일
Categorical

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2021-07-28
51 
2021-08-02
39 
2021-07-30
29 
2021-07-29
28 
2020-08-02
9 
Other values (3)
12 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2021-07-28
2nd row2021-08-02
3rd row2021-07-30
4th row2021-07-30
5th row2021-07-29

Common Values

ValueCountFrequency (%)
2021-07-28 51
30.4%
2021-08-02 39
23.2%
2021-07-30 29
17.3%
2021-07-29 28
16.7%
2020-08-02 9
 
5.4%
2021-08-03 9
 
5.4%
2021-08-04 2
 
1.2%
2021-08-24 1
 
0.6%

Length

2023-12-11T08:31:13.649872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:31:13.758051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-28 51
30.4%
2021-08-02 39
23.2%
2021-07-30 29
17.3%
2021-07-29 28
16.7%
2020-08-02 9
 
5.4%
2021-08-03 9
 
5.4%
2021-08-04 2
 
1.2%
2021-08-24 1
 
0.6%

Interactions

2023-12-11T08:31:10.006473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:31:13.857691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류이용시간데이터수집일
번호1.0000.3370.0000.000
분류0.3371.0000.9290.000
이용시간0.0000.9291.0000.000
데이터수집일0.0000.0000.0001.000
2023-12-11T08:31:13.958877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류데이터수집일이용시간
분류1.0000.0000.504
데이터수집일0.0001.0000.000
이용시간0.5040.0001.000
2023-12-11T08:31:14.056060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류이용시간데이터수집일
번호1.0000.1360.0000.000
분류0.1361.0000.5040.000
이용시간0.0000.5041.0000.000
데이터수집일0.0000.0000.0001.000

Missing values

2023-12-11T08:31:10.164499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:31:10.332203image/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

번호시도시군구분류이용시간관광지명주소전화번호데이터수집일
03000001경상남도진주시자연명소상시 이용가능가로수길경상남도 진주시 진양호로531번길 9055-747-56732021-07-28
13000002경상남도진주시체험관매일/09:00~18:00가뫼골마을경상남도 진주시 명석면 관덕길 174055-746-22142021-08-02
23000003경상남도진주시자연명소상시 이용가능가좌산경상남도 진주시 가좌동055-749-53512021-07-30
33000004경상남도진주시자연명소상시 이용가능가좌산대나무숲길경상남도 진주시 가좌동, 가좌산 내055-749-5351/055-749-45312021-07-30
43000005경상남도진주시자연명소상시 이용가능가좌산도심속의테마숲길경상남도 진주시 가좌동 1397-26 연암공대 운동장 부근055-749-5351/055-749-45312021-07-29
53000006경상남도진주시자연명소상시 이용가능가좌산생태숲경상남도 진주시 내동면 신율리 산92055-749-87782021-07-29
63000007경상남도진주시자연명소상시 이용가능가좌천경상남도 진주시 가좌동055-749-45312021-08-02
73000008경상남도진주시자연명소상시 이용가능강주연못경상남도 진주시 정촌면 예하리 911-11055-749-53212021-07-29
83000009경상남도진주시공원상시 이용가능강주연못공원경상남도 진주시 정촌면 예하리 911-11055-749-53212021-08-02
93000010경상남도진주시체험관평일/09:00~18:30건영동물체험학교경상남도 진주시 산유로 488번길 8-24055-758-69242021-07-29
번호시도시군구분류이용시간관광지명주소전화번호데이터수집일
1583000159경상남도진주시자연명소상시 이용가능칠봉산길경상남도 진주시 내동면 삼계리055-749-53512021-07-30
1593000160경상남도진주시명소상시 이용가능칠암성당경상남도 진주시 진주대로986번길 9055-752-38642021-07-28
1603000161경상남도진주시체험관평일11:00~22:00/이용시간무제한(영업시간)/주말공휴일10:00~22:00크로스롤러장 진주혁신도시점경상남도 진주시 충무공동 277-7055-795-22222021-07-29
1613000162경상남도진주시박물관매일10:00~17:00/휴원일:공휴일&일요일&10월1일&5월1일휴관토지주택박물관경상남도 진주시 충의로 19 한국토지주택공사055-922-54322021-07-28
1623000163경상남도진주시자연명소상시 이용가능평거강변경상남도 진주시 평거동055-749-44312020-08-02
1633000164경상남도진주시자연명소상시 이용가능평거동 벚꽃길경상남도 진주시 평거동055-749-44312020-08-02
1643000165경상남도진주시문화재상시 이용가능하륜묘역경상남도 진주시 미천면 오방리 산 166055-749-53122021-07-28
1653000166경상남도진주시전통사찰상시 이용가능호국사경상남도 진주시 남강로 626-71055-741-43942021-08-02
1663000167경상남도진주시자연명소상시 이용가능황학산경상남도 진주시 대평면 내촌리 산 12-1055-749-53512021-07-28
1673000168경상남도진주시명소상시 이용가능희망교경상남도 진주시 평거동055-749-53212021-07-28