Overview

Dataset statistics

Number of variables9
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory77.8 B

Variable types

Numeric2
Text4
Categorical1
DateTime2

Dataset

Description경남도내 등록체육시설(골프장, 스키장) 현황을 제공합니다. 연번, 사업장명, 홀/슬로프의 수 위치, 연락처 ,비고등의 데이터를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3082694

Alerts

면적(㎡) is highly overall correlated with 홀수High correlation
홀수 is highly overall correlated with 면적(㎡)High correlation
연번 has unique valuesUnique
면적(㎡) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:38:28.103615
Analysis finished2023-12-11 00:38:29.092857
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T09:38:29.156317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-11T09:38:29.278830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

골프장명
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:38:29.506720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.6
Min length4

Characters and Unicode

Total characters231
Distinct characters86
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)82.9%

Sample

1st row창원CC
2nd row용원CC
3rd row진주CC
4th row타니CC
5th row타니CC
ValueCountFrequency (%)
컨트리클럽 3
 
6.0%
타니cc 2
 
4.0%
창녕 2
 
4.0%
가야cc 2
 
4.0%
힐마루cc 2
 
4.0%
창원cc 1
 
2.0%
다이아몬드cc 1
 
2.0%
김해상록 1
 
2.0%
아델 1
 
2.0%
스코트cc 1
 
2.0%
Other values (34) 34
68.0%
2023-12-11T09:38:29.869689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 54
23.4%
15
 
6.5%
스 8
 
3.5%
이 7
 
3.0%
리 6
 
2.6%
힐 6
 
2.6%
트 6
 
2.6%
해 5
 
2.2%
클 4
 
1.7%
원 4
 
1.7%
Other values (76) 116
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
69.3%
Uppercase Letter 56
 
24.2%
Space Separator 15
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 8
 
5.0%
이 7
 
4.4%
리 6
 
3.8%
힐 6
 
3.8%
트 6
 
3.8%
해 5
 
3.1%
클 4
 
2.5%
원 4
 
2.5%
럽 4
 
2.5%
산 3
 
1.9%
Other values (73) 107
66.9%
Uppercase Letter
ValueCountFrequency (%)
C 54
96.4%
G 2
 
3.6%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
69.3%
Latin 56
 
24.2%
Common 15
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 8
 
5.0%
이 7
 
4.4%
리 6
 
3.8%
힐 6
 
3.8%
트 6
 
3.8%
해 5
 
3.1%
클 4
 
2.5%
원 4
 
2.5%
럽 4
 
2.5%
산 3
 
1.9%
Other values (73) 107
66.9%
Latin
ValueCountFrequency (%)
C 54
96.4%
G 2
 
3.6%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
69.3%
ASCII 71
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 54
76.1%
15
 
21.1%
G 2
 
2.8%
Hangul
ValueCountFrequency (%)
스 8
 
5.0%
이 7
 
4.4%
리 6
 
3.8%
힐 6
 
3.8%
트 6
 
3.8%
해 5
 
3.1%
클 4
 
2.5%
원 4
 
2.5%
럽 4
 
2.5%
산 3
 
1.9%
Other values (73) 107
66.9%

홀수
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
회원18
9 
대중9
8 
회원27
7 
대중18
6 
대중27
3 
Other values (2)
2 

Length

Max length4
Median length4
Mean length3.7714286
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row회원18
2nd row회원27
3rd row회원18
4th row회원27
5th row대중9

Common Values

ValueCountFrequency (%)
회원18 9
25.7%
대중9 8
22.9%
회원27 7
20.0%
대중18 6
17.1%
대중27 3
 
8.6%
회원45 1
 
2.9%
회원36 1
 
2.9%

Length

2023-12-11T09:38:30.031854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:30.447537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회원18 9
25.7%
대중9 8
22.9%
회원27 7
20.0%
대중18 6
17.1%
대중27 3
 
8.6%
회원45 1
 
2.9%
회원36 1
 
2.9%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1070261.1
Minimum164773
Maximum2822471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T09:38:30.638979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164773
5-th percentile248198.7
Q1793534
median1030540
Q31402547.5
95-th percentile1835937.2
Maximum2822471
Range2657698
Interquartile range (IQR)609013.5

Descriptive statistics

Standard deviation572781.06
Coefficient of variation (CV)0.53517883
Kurtosis1.3867822
Mean1070261.1
Median Absolute Deviation (MAD)368892
Skewness0.68550485
Sum37459137
Variance3.2807814 × 1011
MonotonicityNot monotonic
2023-12-11T09:38:30.783766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1048959 1
 
2.9%
1635886 1
 
2.9%
235262 1
 
2.9%
786500 1
 
2.9%
942431 1
 
2.9%
995616 1
 
2.9%
1012743 1
 
2.9%
1303897 1
 
2.9%
253743 1
 
2.9%
378840 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
164773 1
2.9%
235262 1
2.9%
253743 1
2.9%
296984 1
2.9%
377429 1
2.9%
378840 1
2.9%
391178 1
2.9%
433747 1
2.9%
786500 1
2.9%
800568 1
2.9%
ValueCountFrequency (%)
2822471 1
2.9%
2198232 1
2.9%
1680668 1
2.9%
1635886 1
2.9%
1599832 1
2.9%
1563744 1
2.9%
1510534 1
2.9%
1448364 1
2.9%
1405663 1
2.9%
1399432 1
2.9%

등록일자
Date

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1984-09-21 00:00:00
Maximum2015-11-11 00:00:00
2023-12-11T09:38:30.942285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:31.063982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

승인일자
Date

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1982-04-21 00:00:00
Maximum2011-06-23 00:00:00
2023-12-11T09:38:31.210210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:31.385678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

운영자
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:38:31.681951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length11.571429
Min length4

Characters and Unicode

Total characters405
Distinct characters128
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)77.1%

Sample

1st row(주)창원컨트리클럽 송부옥
2nd row용원개발㈜ 최정호
3rd row진주개발㈜ 김영재
4th row타니골프앤리조트㈜ 장두원
5th row타니골프앤리조트㈜ 장두원
ValueCountFrequency (%)
타니골프앤리조트㈜ 2
 
2.9%
에머슨퍼시픽㈜ 2
 
2.9%
이만규 2
 
2.9%
주)동훈 2
 
2.9%
김점동 2
 
2.9%
가야개발㈜ 2
 
2.9%
김영섭 2
 
2.9%
장두원 2
 
2.9%
최경훈 1
 
1.4%
이종배 1
 
1.4%
Other values (52) 52
74.3%
2023-12-11T09:38:32.159488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
8.9%
㈜ 18
 
4.4%
주 17
 
4.2%
) 15
 
3.7%
( 15
 
3.7%
개 11
 
2.7%
리 11
 
2.7%
이 11
 
2.7%
발 11
 
2.7%
트 10
 
2.5%
Other values (118) 250
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
78.8%
Space Separator 36
 
8.9%
Other Symbol 18
 
4.4%
Close Punctuation 15
 
3.7%
Open Punctuation 15
 
3.7%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
5.3%
개 11
 
3.4%
리 11
 
3.4%
이 11
 
3.4%
발 11
 
3.4%
트 10
 
3.1%
김 8
 
2.5%
원 8
 
2.5%
동 7
 
2.2%
럽 7
 
2.2%
Other values (113) 218
68.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
83.2%
Common 68
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 18
 
5.3%
주 17
 
5.0%
개 11
 
3.3%
리 11
 
3.3%
이 11
 
3.3%
발 11
 
3.3%
트 10
 
3.0%
김 8
 
2.4%
원 8
 
2.4%
동 7
 
2.1%
Other values (114) 225
66.8%
Common
ValueCountFrequency (%)
36
52.9%
) 15
22.1%
( 15
22.1%
, 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
78.8%
ASCII 68
 
16.8%
None 18
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
52.9%
) 15
22.1%
( 15
22.1%
, 2
 
2.9%
None
ValueCountFrequency (%)
㈜ 18
100.0%
Hangul
ValueCountFrequency (%)
주 17
 
5.3%
개 11
 
3.4%
리 11
 
3.4%
이 11
 
3.4%
발 11
 
3.4%
트 10
 
3.1%
김 8
 
2.5%
원 8
 
2.5%
동 7
 
2.2%
럽 7
 
2.2%
Other values (113) 218
68.3%

위치
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:38:32.477164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length22.085714
Min length16

Characters and Unicode

Total characters773
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

Unique27 ?
Unique (%)77.1%

Sample

1st row경상남도 창원시 의창구 대봉로 137
2nd row경상남도 창원시 진해구 가주로 133
3rd row경상남도 진주시 진성면 진성로 464번길 82
4th row경상남도 사천시 곤양면 흥신로 210
5th row경상남도 사천시 곤양면 흥신로 210
ValueCountFrequency (%)
경상남도 35
 
19.9%
양산시 6
 
3.4%
김해시 5
 
2.8%
사천시 4
 
2.3%
남해군 3
 
1.7%
창녕군 3
 
1.7%
곤양면 2
 
1.1%
고성군 2
 
1.1%
창원시 2
 
1.1%
밀양시 2
 
1.1%
Other values (99) 112
63.6%
2023-12-11T09:38:32.885806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
18.2%
남 44
 
5.7%
상 38
 
4.9%
경 35
 
4.5%
도 35
 
4.5%
로 29
 
3.8%
1 28
 
3.6%
면 25
 
3.2%
9 23
 
3.0%
시 23
 
3.0%
Other values (89) 352
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
61.1%
Decimal Number 149
 
19.3%
Space Separator 141
 
18.2%
Dash Punctuation 11
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 44
 
9.3%
상 38
 
8.1%
경 35
 
7.4%
도 35
 
7.4%
로 29
 
6.1%
면 25
 
5.3%
시 23
 
4.9%
산 16
 
3.4%
양 12
 
2.5%
군 12
 
2.5%
Other values (77) 203
43.0%
Decimal Number
ValueCountFrequency (%)
1 28
18.8%
9 23
15.4%
4 21
14.1%
5 17
11.4%
2 14
9.4%
0 12
8.1%
3 10
 
6.7%
7 10
 
6.7%
8 8
 
5.4%
6 6
 
4.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
61.1%
Common 301
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 44
 
9.3%
상 38
 
8.1%
경 35
 
7.4%
도 35
 
7.4%
로 29
 
6.1%
면 25
 
5.3%
시 23
 
4.9%
산 16
 
3.4%
양 12
 
2.5%
군 12
 
2.5%
Other values (77) 203
43.0%
Common
ValueCountFrequency (%)
141
46.8%
1 28
 
9.3%
9 23
 
7.6%
4 21
 
7.0%
5 17
 
5.6%
2 14
 
4.7%
0 12
 
4.0%
- 11
 
3.7%
3 10
 
3.3%
7 10
 
3.3%
Other values (2) 14
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
61.1%
ASCII 301
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
46.8%
1 28
 
9.3%
9 23
 
7.6%
4 21
 
7.0%
5 17
 
5.6%
2 14
 
4.7%
0 12
 
4.0%
- 11
 
3.7%
3 10
 
3.3%
7 10
 
3.3%
Other values (2) 14
 
4.7%
Hangul
ValueCountFrequency (%)
남 44
 
9.3%
상 38
 
8.1%
경 35
 
7.4%
도 35
 
7.4%
로 29
 
6.1%
면 25
 
5.3%
시 23
 
4.9%
산 16
 
3.4%
양 12
 
2.5%
군 12
 
2.5%
Other values (77) 203
43.0%

연락처
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T09:38:33.089821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.914286
Min length9

Characters and Unicode

Total characters417
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

Unique27 ?
Unique (%)77.1%

Sample

1st row055-288-4112
2nd row055-540-0715
3rd row055-758-0400
4th row055-831-7000
5th row055-831-7000
ValueCountFrequency (%)
055-831-7000 2
 
5.7%
055-520-8000 2
 
5.7%
055-330-0730 2
 
5.7%
055-860-0321 2
 
5.7%
1644-0280 1
 
2.9%
055-589-8888 1
 
2.9%
055-521-0707 1
 
2.9%
055-670-8057 1
 
2.9%
055-672-0070 1
 
2.9%
055-930-7777 1
 
2.9%
Other values (21) 21
60.0%
2023-12-11T09:38:33.529153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
26.9%
5 85
20.4%
- 69
16.5%
3 38
 
9.1%
7 26
 
6.2%
8 22
 
5.3%
1 18
 
4.3%
2 15
 
3.6%
6 11
 
2.6%
9 11
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
83.5%
Dash Punctuation 69
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
32.2%
5 85
24.4%
3 38
 
10.9%
7 26
 
7.5%
8 22
 
6.3%
1 18
 
5.2%
2 15
 
4.3%
6 11
 
3.2%
9 11
 
3.2%
4 10
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
26.9%
5 85
20.4%
- 69
16.5%
3 38
 
9.1%
7 26
 
6.2%
8 22
 
5.3%
1 18
 
4.3%
2 15
 
3.6%
6 11
 
2.6%
9 11
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
26.9%
5 85
20.4%
- 69
16.5%
3 38
 
9.1%
7 26
 
6.2%
8 22
 
5.3%
1 18
 
4.3%
2 15
 
3.6%
6 11
 
2.6%
9 11
 
2.6%

Interactions

2023-12-11T09:38:28.712409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:28.532365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:28.804402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:28.620028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:38:33.707239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번골프장명홀수면적(㎡)등록일자승인일자운영자위치연락처
연번1.0000.9240.3460.3740.7580.7580.8850.8850.885
골프장명0.9241.0000.0000.6860.9980.9981.0001.0001.000
홀수0.3460.0001.0000.8860.9480.9480.3630.3630.363
면적(㎡)0.3740.6860.8861.0000.8690.8690.8690.8690.869
등록일자0.7580.9980.9480.8691.0001.0001.0001.0001.000
승인일자0.7580.9980.9480.8691.0001.0001.0001.0001.000
운영자0.8851.0000.3630.8691.0001.0001.0001.0001.000
위치0.8851.0000.3630.8691.0001.0001.0001.0001.000
연락처0.8851.0000.3630.8691.0001.0001.0001.0001.000
2023-12-11T09:38:33.855796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(㎡)홀수
연번1.000-0.2800.070
면적(㎡)-0.2801.0000.718
홀수0.0700.7181.000

Missing values

2023-12-11T09:38:28.921895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:38:29.044694image/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

연번골프장명홀수면적(㎡)등록일자승인일자운영자위치연락처
01창원CC회원1810489591984-09-211982-10-12(주)창원컨트리클럽 송부옥경상남도 창원시 의창구 대봉로 137055-288-4112
12용원CC회원2716358861991-11-081988-11-08용원개발㈜ 최정호경상남도 창원시 진해구 가주로 133055-540-0715
23진주CC회원1810684811996-11-271994-03-23진주개발㈜ 김영재경상남도 진주시 진성면 진성로 464번길 82055-758-0400
34타니CC회원2712219292011-03-112008-02-21타니골프앤리조트㈜ 장두원경상남도 사천시 곤양면 흥신로 210055-831-7000
45타니CC대중94337472011-03-112008-02-21타니골프앤리조트㈜ 장두원경상남도 사천시 곤양면 흥신로 210055-831-7000
56삼삼CC대중93911782012-07-252010-10-18삼삼레져개발㈜ 박명식경상남도 사천시 축동면 화당산로 224055-958-3300
67사천CC대중2715105342013-07-102008-03-06(주)한올 강성일경상남도 사천시 서포면 구송로 151055-833-3010
78가야CC회원4528224711988-06-251985-01-28가야개발㈜ 김영섭경상남도 김해시 인제로 495055-330-0730
89가야CC대중91647732005-08-122002-04-16가야개발㈜ 김영섭경상남도 김해시 인제로 495055-330-0730
910김해 정산CC회원2715637442005-11-032003-05-17정산개발㈜ 이순형경상남도 김해시 주촌면 서부로 1637번길 299-194055-338-8300
연번골프장명홀수면적(㎡)등록일자승인일자운영자위치연락처
2526고성노벨CC회원2713038972010-02-192008-09-13고성관광개발㈜ 최경훈경상남도 고성군 회화면 봉동리 산98055-670-8057
2627고성CC대중92537432010-06-302009-03-05(주)쌍마 정창균경상남도 고성군 고성읍 월평리 산48055-672-0070
2728힐튼남해대중93788402006-11-162005-03-23에머슨퍼시픽㈜ 이만규경상남도 남해군 남면 남서대로 1179번길 40-109055-860-0321
2829힐튼남해GC대중93774292006-11-162005-03-23에머슨퍼시픽㈜ 이만규경상남도 남해군 남면 남서대로 1179번길 40-109055-860-0321
2930사우스케이프 오너스클럽대중1813236002013-06-202010-07-01(주)한섬피앤디 이종배, 정재봉,정형진경상남도 남해군 창선면 흥선로 1505번길 951644-0280
3031함양리조트 스카이 뷰회원1810323472011-09-212008-01-09(주)함양리조트경상남도 함양군 서상면 소로길 207055-960-7000
3132아델 스코트CC회원2713994322007-09-062006-01-24해인레저산업㈜ 김종헌경상남도 합천군 가야면 가조가야로 1916-35055-930-7777
3233김해상록 컨트리클럽대중189634822014-06-192010-08-03공무원연금공단 김해상록골프장 박노종경상남도 김해시 한림면김해대로 974번길 198055-340-1402
3334통영동원로얄 컨트리클럽대중189836762015-09-102011-06-23동원관광개발㈜ 이만수경상남도 통영시 산양읍 영운리 산184-5055-640-5000
3435밀양 컨트리클럽대중92969842015-11-112008-10-07(주)밀양사포개발 임경주경상남도 밀양시 부북면 전사포리 산22055-356-6515