Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.0 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description경남도내 관광지 지정현황 정보입니다(시군명, 관광지명 소재지, 지정일,면적, 시행청, 주요개발내용 등의 데이터를 포함하고있습니다.)
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083972

Alerts

연번 has unique valuesUnique
관광지명 has unique valuesUnique
소재지 has unique valuesUnique
지정일 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:27:39.187061
Analysis finished2023-12-10 23:27:40.097613
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T08:27:40.176018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-11T08:27:40.294679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

시군
Text

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:27:40.467380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)45.5%

Sample

1st row창원시
2nd row창원시
3rd row진주시
4th row통영시
5th row사천시
ValueCountFrequency (%)
산청군 3
13.6%
합천군 3
13.6%
창원시 2
 
9.1%
거제시 2
 
9.1%
거창군 2
 
9.1%
진주시 1
 
4.5%
통영시 1
 
4.5%
사천시 1
 
4.5%
밀양시 1
 
4.5%
의령군 1
 
4.5%
Other values (5) 5
22.7%
2023-12-11T08:27:40.751075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 14
21.2%
시 8
12.1%
창 5
 
7.6%
천 4
 
6.1%
거 4
 
6.1%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
양 2
 
3.0%
제 2
 
3.0%
Other values (17) 18
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 14
21.2%
시 8
12.1%
창 5
 
7.6%
천 4
 
6.1%
거 4
 
6.1%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
양 2
 
3.0%
제 2
 
3.0%
Other values (17) 18
27.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 14
21.2%
시 8
12.1%
창 5
 
7.6%
천 4
 
6.1%
거 4
 
6.1%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
양 2
 
3.0%
제 2
 
3.0%
Other values (17) 18
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 14
21.2%
시 8
12.1%
창 5
 
7.6%
천 4
 
6.1%
거 4
 
6.1%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
양 2
 
3.0%
제 2
 
3.0%
Other values (17) 18
27.3%

관광지명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:27:40.938848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.6818182
Min length2

Characters and Unicode

Total characters59
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row마금산
2nd row구산해양
3rd row오목내
4th row도남
5th row실안
ValueCountFrequency (%)
마금산 1
 
4.5%
구산해양 1
 
4.5%
보조댐 1
 
4.5%
미숭산 1
 
4.5%
수승대 1
 
4.5%
가조 1
 
4.5%
농월정 1
 
4.5%
전통한방 1
 
4.5%
중산 1
 
4.5%
금서 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T08:27:41.269970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 4
 
6.8%
정 2
 
3.4%
금 2
 
3.4%
계 2
 
3.4%
목 2
 
3.4%
대 2
 
3.4%
가 2
 
3.4%
조 2
 
3.4%
방 1
 
1.7%
묵 1
 
1.7%
Other values (39) 39
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4
 
6.8%
정 2
 
3.4%
금 2
 
3.4%
계 2
 
3.4%
목 2
 
3.4%
대 2
 
3.4%
가 2
 
3.4%
조 2
 
3.4%
방 1
 
1.7%
묵 1
 
1.7%
Other values (39) 39
66.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4
 
6.8%
정 2
 
3.4%
금 2
 
3.4%
계 2
 
3.4%
목 2
 
3.4%
대 2
 
3.4%
가 2
 
3.4%
조 2
 
3.4%
방 1
 
1.7%
묵 1
 
1.7%
Other values (39) 39
66.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 4
 
6.8%
정 2
 
3.4%
금 2
 
3.4%
계 2
 
3.4%
목 2
 
3.4%
대 2
 
3.4%
가 2
 
3.4%
조 2
 
3.4%
방 1
 
1.7%
묵 1
 
1.7%
Other values (39) 39
66.1%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:27:41.490244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.863636
Min length15

Characters and Unicode

Total characters415
Distinct characters91
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 북면 신촌리 일원
2nd row경상남도 창원시 마산합포구 구산면 석곡리 일원
3rd row경상남도 진주시 평거동 일원
4th row경상남도 통영시 도남동 일원
5th row경상남도 사천시 실안동 일원
ValueCountFrequency (%)
경상남도 22
20.6%
일원 17
 
15.9%
합천군 3
 
2.8%
산청군 3
 
2.8%
장목면 2
 
1.9%
거창군 2
 
1.9%
금서면 2
 
1.9%
거제시 2
 
1.9%
창원시 2
 
1.9%
대병면 2
 
1.9%
Other values (50) 50
46.7%
2023-12-11T08:27:42.115784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
20.5%
남 24
 
5.8%
도 23
 
5.5%
경 22
 
5.3%
상 22
 
5.3%
원 19
 
4.6%
면 19
 
4.6%
일 18
 
4.3%
리 17
 
4.1%
군 14
 
3.4%
Other values (81) 152
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
75.9%
Space Separator 85
 
20.5%
Decimal Number 13
 
3.1%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 24
 
7.6%
도 23
 
7.3%
경 22
 
7.0%
상 22
 
7.0%
원 19
 
6.0%
면 19
 
6.0%
일 18
 
5.7%
리 17
 
5.4%
군 14
 
4.4%
시 9
 
2.9%
Other values (71) 128
40.6%
Decimal Number
ValueCountFrequency (%)
3 3
23.1%
1 2
15.4%
9 2
15.4%
0 2
15.4%
8 1
 
7.7%
4 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
75.9%
Common 100
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 24
 
7.6%
도 23
 
7.3%
경 22
 
7.0%
상 22
 
7.0%
원 19
 
6.0%
면 19
 
6.0%
일 18
 
5.7%
리 17
 
5.4%
군 14
 
4.4%
시 9
 
2.9%
Other values (71) 128
40.6%
Common
ValueCountFrequency (%)
85
85.0%
3 3
 
3.0%
1 2
 
2.0%
- 2
 
2.0%
9 2
 
2.0%
0 2
 
2.0%
8 1
 
1.0%
4 1
 
1.0%
2 1
 
1.0%
5 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
75.9%
ASCII 100
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
85.0%
3 3
 
3.0%
1 2
 
2.0%
- 2
 
2.0%
9 2
 
2.0%
0 2
 
2.0%
8 1
 
1.0%
4 1
 
1.0%
2 1
 
1.0%
5 1
 
1.0%
Hangul
ValueCountFrequency (%)
남 24
 
7.6%
도 23
 
7.3%
경 22
 
7.0%
상 22
 
7.0%
원 19
 
6.0%
면 19
 
6.0%
일 18
 
5.7%
리 17
 
5.4%
군 14
 
4.4%
시 9
 
2.9%
Other values (71) 128
40.6%

지정일
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1977-06-29 00:00:00
Maximum2012-12-27 00:00:00
2023-12-11T08:27:42.243547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:42.353617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean480191.55
Minimum82785
Maximum2842634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T08:27:42.497924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82785
5-th percentile91129
Q1223792.75
median290578.5
Q3545982.5
95-th percentile937376.35
Maximum2842634
Range2759849
Interquartile range (IQR)322189.75

Descriptive statistics

Standard deviation586311.17
Coefficient of variation (CV)1.2209944
Kurtosis13.343249
Mean480191.55
Median Absolute Deviation (MAD)124123.5
Skewness3.3999537
Sum10564214
Variance3.4376079 × 1011
MonotonicityNot monotonic
2023-12-11T08:27:42.618952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
528224 1
 
4.5%
937944 1
 
4.5%
286159 1
 
4.5%
82785 1
 
4.5%
232802 1
 
4.5%
297679 1
 
4.5%
230674 1
 
4.5%
138110 1
 
4.5%
294998 1
 
4.5%
297000 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
82785 1
4.5%
90000 1
4.5%
112580 1
4.5%
138110 1
4.5%
194800 1
4.5%
221499 1
4.5%
230674 1
4.5%
232802 1
4.5%
257055 1
4.5%
278180 1
4.5%
ValueCountFrequency (%)
2842634 1
4.5%
937944 1
4.5%
926591 1
4.5%
826609 1
4.5%
605283 1
4.5%
551902 1
4.5%
528224 1
4.5%
330706 1
4.5%
297679 1
4.5%
297000 1
4.5%

시행청
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:27:42.811475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0454545
Min length3

Characters and Unicode

Total characters67
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)54.5%

Sample

1st row창원시
2nd row창원시
3rd row진주시
4th row통영시
5th row사천시
ValueCountFrequency (%)
산청군 3
13.6%
합천군 3
13.6%
창원시 2
 
9.1%
거창군 2
 
9.1%
진주시 1
 
4.5%
통영시 1
 
4.5%
사천시 1
 
4.5%
밀양시 1
 
4.5%
경상남도 1
 
4.5%
거제시 1
 
4.5%
Other values (6) 6
27.3%
2023-12-11T08:27:43.112185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 14
20.9%
시 7
 
10.4%
창 5
 
7.5%
천 4
 
6.0%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
거 3
 
4.5%
남 2
 
3.0%
양 2
 
3.0%
Other values (20) 21
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 14
20.9%
시 7
 
10.4%
창 5
 
7.5%
천 4
 
6.0%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
거 3
 
4.5%
남 2
 
3.0%
양 2
 
3.0%
Other values (20) 21
31.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 14
20.9%
시 7
 
10.4%
창 5
 
7.5%
천 4
 
6.0%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
거 3
 
4.5%
남 2
 
3.0%
양 2
 
3.0%
Other values (20) 21
31.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 14
20.9%
시 7
 
10.4%
창 5
 
7.5%
천 4
 
6.0%
산 3
 
4.5%
청 3
 
4.5%
합 3
 
4.5%
거 3
 
4.5%
남 2
 
3.0%
양 2
 
3.0%
Other values (20) 21
31.3%

주요개발내용
Text

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:27:43.294400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length7.9545455
Min length5

Characters and Unicode

Total characters175
Distinct characters49
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row온천휴양지
2nd row해안형관광단지
3rd row진양호의 유희시설지
4th row해상레크레이션
5th row한려수도 해안관광지
ValueCountFrequency (%)
관광지 5
14.3%
온천휴양지 3
 
8.6%
산악형 3
 
8.6%
산악계곡형관광지 2
 
5.7%
해안휴양형 2
 
5.7%
산악계곡형 2
 
5.7%
산악호반형의 2
 
5.7%
휴양지 2
 
5.7%
전승유적지 1
 
2.9%
및 1
 
2.9%
Other values (12) 12
34.3%
2023-12-11T08:27:43.625647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 19
 
10.9%
13
 
7.4%
형 12
 
6.9%
양 10
 
5.7%
관 10
 
5.7%
광 10
 
5.7%
휴 9
 
5.1%
산 9
 
5.1%
악 9
 
5.1%
해 6
 
3.4%
Other values (39) 68
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
92.6%
Space Separator 13
 
7.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 19
 
11.7%
형 12
 
7.4%
양 10
 
6.2%
관 10
 
6.2%
광 10
 
6.2%
휴 9
 
5.6%
산 9
 
5.6%
악 9
 
5.6%
해 6
 
3.7%
안 5
 
3.1%
Other values (38) 63
38.9%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
92.6%
Common 13
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 19
 
11.7%
형 12
 
7.4%
양 10
 
6.2%
관 10
 
6.2%
광 10
 
6.2%
휴 9
 
5.6%
산 9
 
5.6%
악 9
 
5.6%
해 6
 
3.7%
안 5
 
3.1%
Other values (38) 63
38.9%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
92.6%
ASCII 13
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 19
 
11.7%
형 12
 
7.4%
양 10
 
6.2%
관 10
 
6.2%
광 10
 
6.2%
휴 9
 
5.6%
산 9
 
5.6%
악 9
 
5.6%
해 6
 
3.7%
안 5
 
3.1%
Other values (38) 63
38.9%
ASCII
ValueCountFrequency (%)
13
100.0%

Interactions

2023-12-11T08:27:39.643384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.508240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.725139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.571545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:27:43.718904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군관광지명소재지지정일면적(제곱미터)시행청주요개발내용
연번1.0000.9671.0001.0001.0000.0000.9740.740
시군0.9671.0001.0001.0001.0000.8491.0000.906
관광지명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
지정일1.0001.0001.0001.0001.0001.0001.0001.000
면적(제곱미터)0.0000.8491.0001.0001.0001.0000.8520.000
시행청0.9741.0001.0001.0001.0000.8521.0000.869
주요개발내용0.7400.9061.0001.0001.0000.0000.8691.000
2023-12-11T08:27:43.826537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.000-0.298
면적(제곱미터)-0.2981.000

Missing values

2023-12-11T08:27:39.843793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:27:40.045863image/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

연번시군관광지명소재지지정일면적(제곱미터)시행청주요개발내용
01창원시마금산경상남도 창원시 의창구 북면 신촌리 일원1986-01-23528224창원시온천휴양지
12창원시구산해양경상남도 창원시 마산합포구 구산면 석곡리 일원2011-04-212842634창원시해안형관광단지
23진주시오목내경상남도 진주시 평거동 일원1987-02-23330706진주시진양호의 유희시설지
34통영시도남경상남도 통영시 도남동 일원1983-08-01221499통영시해상레크레이션
45사천시실안경상남도 사천시 실안동 일원2000-06-26257055사천시한려수도 해안관광지
56밀양시표충사경상남도 밀양시 단장면 구천리 31-21985-05-1390000밀양시산악계곡형관광지
67거제시장목경상남도 거제시 장목면 일원1996-05-27926591경상남도해안휴양형
78거제시거가대교경상남도 거제시 장목면 유호리 농소리2012-12-27112580거제시해안휴양형
89의령군벽계경상남도 의령군 궁류면 벽계리 일원1994-12-19278180의령군산악계곡형 관광지
910창녕군부곡경상남도 창녕군 부곡면 거문리 일원1977-06-29826609창녕군온천휴양지
연번시군관광지명소재지지정일면적(제곱미터)시행청주요개발내용
1213하동군묵계경상남도 하동군 청암면 묵계리 일원2008-11-06937944하동군산악형 관광지
1314산청군금서경상남도 산청군 금서면 매촌리 일원1991-12-30194800산청군산악형 관광지
1415산청군중산경상남도 산청군 시천면 중산리 일원1990-11-09297000산청군산악형 관광지
1516산청군전통한방경상남도 산청군 금서면 특리 일원2001-06-29294998산청군전통한방휴양관광지
1617함양군농월정경상남도 함양군 안의면 월림리 일원1993-11-09138110함양군산악계곡형 관광지
1718거창군가조경상남도 거창군 가조면 일부리 일원1992-02-11230674거창군온천휴양지
1819거창군수승대경상남도 거창군 위천면 황산리 8901986-08-20297679거창군산악계곡형관광지
1920합천군미숭산경상남도 합천군 야로면 미숭산로 3431985-09-18232802합천군사적지보호 및 청소년수련장
2021합천군보조댐경상남도 합천군 대병면 회양리 일원1989-12-1882785합천군산악호반형의 휴양지
2122합천군합천호경상남도 합천군 대병면 일원1988-12-26286159합천군산악호반형의 휴양지