Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory79.5 B

Variable types

Numeric2
Text5
DateTime1
Categorical1

Dataset

Description경남도내 관광지 지정현황 정보입니다(시군명, 관광지명 소재지, 지정일,면적, 시행청, 주요개발내용 등의 데이터를 포함하고있습니다.)
Author경상남도
URLhttps://www.data.go.kr/data/3083972/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
관광지명 has unique valuesUnique
소재지 has unique valuesUnique
지정일 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:55:36.080056
Analysis finished2024-04-21 02:55:38.477418
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-21T11:55:38.535267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-04-21T11:55:38.641417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

시군
Text

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T11:55:38.798997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters72
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 (%)41.7%

Sample

1st row창원시
2nd row창원시
3rd row창원시
4th row진주시
5th row통영시
ValueCountFrequency (%)
창원시 3
12.5%
거제시 3
12.5%
산청군 3
12.5%
합천군 3
12.5%
거창군 2
 
8.3%
진주시 1
 
4.2%
통영시 1
 
4.2%
사천시 1
 
4.2%
밀양시 1
 
4.2%
의령군 1
 
4.2%
Other values (5) 5
20.8%
2024-04-21T11:55:39.045299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

관광지명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T11:55:39.213969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.8333333
Min length2

Characters and Unicode

Total characters68
Distinct characters55
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

Unique24 ?
Unique (%)100.0%

Sample

1st row마금산
2nd row구산해양
3rd row창원웅동
4th row오목내
5th row도남
ValueCountFrequency (%)
마금산 1
 
4.0%
당항포 1
 
4.0%
보조댐 1
 
4.0%
미숭산 1
 
4.0%
수승대 1
 
4.0%
가조 1
 
4.0%
농월정 1
 
4.0%
전통한방 1
 
4.0%
중산 1
 
4.0%
금서 1
 
4.0%
Other values (15) 15
60.0%
2024-04-21T11:55:39.499497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 4
 
5.9%
부 2
 
2.9%
조 2
 
2.9%
계 2
 
2.9%
금 2
 
2.9%
정 2
 
2.9%
남 2
 
2.9%
거 2
 
2.9%
대 2
 
2.9%
가 2
 
2.9%
Other values (45) 46
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
98.5%
Space Separator 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4
 
6.0%
부 2
 
3.0%
조 2
 
3.0%
계 2
 
3.0%
금 2
 
3.0%
정 2
 
3.0%
남 2
 
3.0%
거 2
 
3.0%
대 2
 
3.0%
가 2
 
3.0%
Other values (44) 45
67.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
98.5%
Common 1
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4
 
6.0%
부 2
 
3.0%
조 2
 
3.0%
계 2
 
3.0%
금 2
 
3.0%
정 2
 
3.0%
남 2
 
3.0%
거 2
 
3.0%
대 2
 
3.0%
가 2
 
3.0%
Other values (44) 45
67.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
98.5%
ASCII 1
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 4
 
6.0%
부 2
 
3.0%
조 2
 
3.0%
계 2
 
3.0%
금 2
 
3.0%
정 2
 
3.0%
남 2
 
3.0%
거 2
 
3.0%
대 2
 
3.0%
가 2
 
3.0%
Other values (44) 45
67.2%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T11:55:39.736079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.958333
Min length15

Characters and Unicode

Total characters455
Distinct characters96
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

Unique24 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 북면 신촌리 일원
2nd row경상남도 창원시 마산합포구 구산면 석곡리 일원
3rd row경상남도 차원시 진해구 웅동
4th row경상남도 진주시 평거동 일원
5th row경상남도 통영시 도남동 일원
ValueCountFrequency (%)
경상남도 24
20.5%
일원 17
 
14.5%
합천군 3
 
2.6%
거제시 3
 
2.6%
산청군 3
 
2.6%
장목면 2
 
1.7%
거창군 2
 
1.7%
금서면 2
 
1.7%
창원시 2
 
1.7%
대병면 2
 
1.7%
Other values (57) 57
48.7%
2024-04-21T11:55:40.041943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
20.4%
남 27
 
5.9%
도 25
 
5.5%
경 24
 
5.3%
상 24
 
5.3%
면 21
 
4.6%
원 20
 
4.4%
리 19
 
4.2%
일 18
 
4.0%
군 14
 
3.1%
Other values (86) 170
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
76.0%
Space Separator 93
 
20.4%
Decimal Number 13
 
2.9%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 27
 
7.8%
도 25
 
7.2%
경 24
 
6.9%
상 24
 
6.9%
면 21
 
6.1%
원 20
 
5.8%
리 19
 
5.5%
일 18
 
5.2%
군 14
 
4.0%
시 11
 
3.2%
Other values (75) 143
41.3%
Decimal Number
ValueCountFrequency (%)
3 3
23.1%
0 2
15.4%
9 2
15.4%
1 2
15.4%
8 1
 
7.7%
4 1
 
7.7%
5 1
 
7.7%
2 1
 
7.7%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
76.0%
Common 109
 
24.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 27
 
7.8%
도 25
 
7.2%
경 24
 
6.9%
상 24
 
6.9%
면 21
 
6.1%
원 20
 
5.8%
리 19
 
5.5%
일 18
 
5.2%
군 14
 
4.0%
시 11
 
3.2%
Other values (75) 143
41.3%
Common
ValueCountFrequency (%)
93
85.3%
3 3
 
2.8%
0 2
 
1.8%
9 2
 
1.8%
- 2
 
1.8%
1 2
 
1.8%
8 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
76.0%
ASCII 109
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
85.3%
3 3
 
2.8%
0 2
 
1.8%
9 2
 
1.8%
- 2
 
1.8%
1 2
 
1.8%
8 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
2 1
 
0.9%
Hangul
ValueCountFrequency (%)
남 27
 
7.8%
도 25
 
7.2%
경 24
 
6.9%
상 24
 
6.9%
면 21
 
6.1%
원 20
 
5.8%
리 19
 
5.5%
일 18
 
5.2%
군 14
 
4.0%
시 11
 
3.2%
Other values (75) 143
41.3%

지정일
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1977-06-29 00:00:00
Maximum2019-05-16 00:00:00
2024-04-21T11:55:40.152396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:55:40.265770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672708.08
Minimum82637
Maximum3693875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-21T11:55:40.369248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82637
5-th percentile92724.9
Q1210884.5
median289337
Q3603301.25
95-th percentile2758968.8
Maximum3693875
Range3611238
Interquartile range (IQR)392416.75

Descriptive statistics

Standard deviation930080.95
Coefficient of variation (CV)1.3825922
Kurtosis5.0778407
Mean672708.08
Median Absolute Deviation (MAD)166199
Skewness2.3731371
Sum16144994
Variance8.6505058 × 1011
MonotonicityNot monotonic
2024-04-21T11:55:40.482429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
528224 1
 
4.2%
494995 1
 
4.2%
286159 1
 
4.2%
82637 1
 
4.2%
227220 1
 
4.2%
297679 1
 
4.2%
230674 1
 
4.2%
138110 1
 
4.2%
294998 1
 
4.2%
292515 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
82637 1
4.2%
90000 1
4.2%
108166 1
4.2%
138110 1
4.2%
141614 1
4.2%
194800 1
4.2%
216246 1
4.2%
227220 1
4.2%
230674 1
4.2%
256877 1
4.2%
ValueCountFrequency (%)
3693875 1
4.2%
2847253 1
4.2%
2258692 1
4.2%
937944 1
4.2%
926591 1
4.2%
775715 1
4.2%
545830 1
4.2%
528224 1
4.2%
494995 1
4.2%
297679 1
4.2%

시행청
Text

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T11:55:40.659734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters72
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 (%)41.7%

Sample

1st row창원시
2nd row창원시
3rd row창원시
4th row진주시
5th row통영시
ValueCountFrequency (%)
창원시 3
12.5%
거제시 3
12.5%
산청군 3
12.5%
합천군 3
12.5%
거창군 2
 
8.3%
진주시 1
 
4.2%
통영시 1
 
4.2%
사천시 1
 
4.2%
밀양시 1
 
4.2%
의령군 1
 
4.2%
Other values (5) 5
20.8%
2024-04-21T11:55:40.912284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 14
19.4%
시 10
13.9%
창 6
 
8.3%
거 5
 
6.9%
천 4
 
5.6%
산 3
 
4.2%
청 3
 
4.2%
제 3
 
4.2%
합 3
 
4.2%
원 3
 
4.2%
Other values (17) 18
25.0%

주요개발내용
Text

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T11:55:41.060771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.7083333
Min length5

Characters and Unicode

Total characters209
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

Unique10 ?
Unique (%)41.7%

Sample

1st row온천휴양형 관광지
2nd row해안형 관광단지
3rd row해안형 관광단지
4th row진양호의 유희시설지
5th row해상레크레이션
ValueCountFrequency (%)
관광지 10
22.2%
해안휴양형 4
 
8.9%
산악계곡형 3
 
6.7%
산악형 3
 
6.7%
관광단지 3
 
6.7%
온천휴양형 2
 
4.4%
해안형 2
 
4.4%
산악호반형 2
 
4.4%
휴양지 2
 
4.4%
보호 1
 
2.2%
Other values (13) 13
28.9%
2024-04-21T11:55:41.302628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 22
 
10.5%
21
 
10.0%
형 17
 
8.1%
관 16
 
7.7%
광 16
 
7.7%
양 11
 
5.3%
휴 10
 
4.8%
악 9
 
4.3%
산 9
 
4.3%
해 8
 
3.8%
Other values (39) 70
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
90.0%
Space Separator 21
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 22
 
11.7%
형 17
 
9.0%
관 16
 
8.5%
광 16
 
8.5%
양 11
 
5.9%
휴 10
 
5.3%
악 9
 
4.8%
산 9
 
4.8%
해 8
 
4.3%
안 7
 
3.7%
Other values (38) 63
33.5%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
90.0%
Common 21
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 22
 
11.7%
형 17
 
9.0%
관 16
 
8.5%
광 16
 
8.5%
양 11
 
5.9%
휴 10
 
5.3%
악 9
 
4.8%
산 9
 
4.8%
해 8
 
4.3%
안 7
 
3.7%
Other values (38) 63
33.5%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
90.0%
ASCII 21
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 22
 
11.7%
형 17
 
9.0%
관 16
 
8.5%
광 16
 
8.5%
양 11
 
5.9%
휴 10
 
5.3%
악 9
 
4.8%
산 9
 
4.8%
해 8
 
4.3%
안 7
 
3.7%
Other values (38) 63
33.5%
ASCII
ValueCountFrequency (%)
21
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-31
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 24
100.0%

Length

2024-04-21T11:55:41.424583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:55:41.515822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 24
100.0%

Interactions

2024-04-21T11:55:38.125487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:55:37.923533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:55:38.196786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:55:38.047516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:55:41.574147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군관광지명소재지지정일면적(제곱미터)시행청주요개발내용
연번1.0000.9941.0001.0001.0000.0000.9940.912
시군0.9941.0001.0001.0001.0000.0001.0000.821
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)0.0000.0001.0001.0001.0001.0000.0000.596
시행청0.9941.0001.0001.0001.0000.0001.0000.821
주요개발내용0.9120.8211.0001.0001.0000.5960.8211.000
2024-04-21T11:55:41.685167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.000-0.275
면적(제곱미터)-0.2751.000

Missing values

2024-04-21T11:55:38.303560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:55:38.418125image/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)시행청주요개발내용데이터기준일자
01창원시마금산경상남도 창원시 의창구 북면 신촌리 일원1986-01-23528224창원시온천휴양형 관광지2023-12-31
12창원시구산해양경상남도 창원시 마산합포구 구산면 석곡리 일원2011-04-212847253창원시해안형 관광단지2023-12-31
23창원시창원웅동경상남도 차원시 진해구 웅동2003-10-302258692창원시해안형 관광단지2023-12-31
34진주시오목내경상남도 진주시 평거동 일원1987-02-23141614진주시진양호의 유희시설지2023-12-31
45통영시도남경상남도 통영시 도남동 일원1983-08-01216246통영시해상레크레이션2023-12-31
56사천시실안경상남도 사천시 실안동 일원2000-06-26256877사천시한려수도 해안관광지2023-12-31
67밀양시표충사경상남도 밀양시 단장면 구천리 31-21985-05-1390000밀양시산악계곡형 관광지2023-12-31
78거제시장목경상남도 거제시 장목면 일원1996-05-27926591거제시해안휴양형2023-12-31
89거제시거가대교경상남도 거제시 장목면 유호리 농소리2012-12-27108166거제시해안휴양형 관광지2023-12-31
910거제시거제 남부경상남도 거제시 남부면 탑포리, 통부면 율포리2019-05-163693875거제시해안휴양형 관광단지2023-12-31
연번시군관광지명소재지지정일면적(제곱미터)시행청주요개발내용데이터기준일자
1415하동군묵계경상남도 하동군 청암면 묵계리 일원2008-11-06937944하동군산악형 관광지2023-12-31
1516산청군금서경상남도 산청군 금서면 매촌리 일원1991-12-30194800산청군산악형 관광지2023-12-31
1617산청군중산경상남도 산청군 시천면 중산리 일원1990-11-09292515산청군산악형 관광지2023-12-31
1718산청군전통한방경상남도 산청군 금서면 특리 일원2001-06-29294998산청군전통한방휴양관광지2023-12-31
1819함양군농월정경상남도 함양군 안의면 월림리 일원1993-11-09138110함양군산악계곡형 관광지2023-12-31
1920거창군가조경상남도 거창군 가조면 일부리 일원1992-02-11230674거창군온천휴양지2023-12-31
2021거창군수승대경상남도 거창군 위천면 황산리 8901986-08-20297679거창군산악계곡형관광지2023-12-31
2122합천군미숭산경상남도 합천군 야로면 미숭산로 3431985-09-18227220합천군사적지보호 및 청소년수련장2023-12-31
2223합천군보조댐경상남도 합천군 대병면 회양리 일원1989-12-1882637합천군산악호반형 휴양지2023-12-31
2324합천군합천호경상남도 합천군 대병면 일원1988-12-26286159합천군산악호반형 휴양지2023-12-31