Overview

Dataset statistics

Number of variables23
Number of observations216
Missing cells1590
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.3 KiB
Average record size in memory195.6 B

Variable types

Categorical7
Text6
DateTime1
Unsupported3
Numeric6

Alerts

문화체육업종명 has constant value ""Constant
폐업일자 is highly imbalanced (95.7%)Imbalance
공사립구분명 is highly imbalanced (92.4%)Imbalance
인허가취소일자 has 216 (100.0%) missing valuesMissing
소재지시설전화번호 has 184 (85.2%) missing valuesMissing
소재지면적정보 has 216 (100.0%) missing valuesMissing
도로명우편번호 has 179 (82.9%) missing valuesMissing
소재지도로명주소 has 22 (10.2%) missing valuesMissing
WGS84위도 has 14 (6.5%) missing valuesMissing
WGS84경도 has 14 (6.5%) missing valuesMissing
업태구분명정보 has 216 (100.0%) missing valuesMissing
X좌표값 has 166 (76.9%) missing valuesMissing
Y좌표값 has 166 (76.9%) missing valuesMissing
건축물연면적(㎡) has 28 (13.0%) missing valuesMissing
회원모집총인원 has 166 (76.9%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적(㎡) has 5 (2.3%) zerosZeros
회원모집총인원 has 41 (19.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:36:45.796494
Analysis finished2023-12-10 21:36:46.383260
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct22
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
용인시
33 
이천시
28 
여주시
27 
안성시
19 
포천시
15 
Other values (17)
94 

Length

Max length4
Median length3
Mean length3.0555556
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 33
15.3%
이천시 28
13.0%
여주시 27
12.5%
안성시 19
8.8%
포천시 15
6.9%
화성시 13
 
6.0%
광주시 12
 
5.6%
파주시 11
 
5.1%
가평군 11
 
5.1%
고양시 10
 
4.6%
Other values (12) 37
17.1%

Length

2023-12-11T06:36:46.460284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 33
15.3%
이천시 28
13.0%
여주시 27
12.5%
안성시 19
8.8%
포천시 15
6.9%
화성시 13
 
6.0%
광주시 12
 
5.6%
파주시 11
 
5.1%
가평군 11
 
5.1%
고양시 10
 
4.6%
Other values (12) 37
17.1%

사업장명
Text

Distinct178
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T06:36:46.712633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.8333333
Min length2

Characters and Unicode

Total characters2124
Distinct characters231
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 (%)65.3%

Sample

1st row가평베네스트G.C
2nd row크리스탈밸리C.C
3rd row마이다스밸리 청평 골프 클럽
4th row썬힐G.C
5th row가평리조트 골프장
ValueCountFrequency (%)
컨트리클럽 25
 
7.6%
골프장 12
 
3.7%
골프클럽 7
 
2.1%
레이크우드 4
 
1.2%
골프 4
 
1.2%
로얄개발(주 3
 
0.9%
골프존카운티 3
 
0.9%
포천 2
 
0.6%
bay 2
 
0.6%
해비치 2
 
0.6%
Other values (208) 263
80.4%
2023-12-11T06:36:47.370951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 120
 
5.6%
112
 
5.3%
클 107
 
5.0%
럽 105
 
4.9%
트 101
 
4.8%
프 82
 
3.9%
골 75
 
3.5%
컨 74
 
3.5%
스 62
 
2.9%
C 58
 
2.7%
Other values (221) 1228
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1729
81.4%
Space Separator 112
 
5.3%
Uppercase Letter 110
 
5.2%
Close Punctuation 50
 
2.4%
Open Punctuation 50
 
2.4%
Other Punctuation 26
 
1.2%
Lowercase Letter 26
 
1.2%
Decimal Number 19
 
0.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 120
 
6.9%
클 107
 
6.2%
럽 105
 
6.1%
트 101
 
5.8%
프 82
 
4.7%
골 75
 
4.3%
컨 74
 
4.3%
스 62
 
3.6%
주 44
 
2.5%
이 39
 
2.3%
Other values (183) 920
53.2%
Uppercase Letter
ValueCountFrequency (%)
C 58
52.7%
G 16
 
14.5%
S 7
 
6.4%
P 4
 
3.6%
E 4
 
3.6%
B 3
 
2.7%
A 2
 
1.8%
T 2
 
1.8%
I 2
 
1.8%
D 2
 
1.8%
Other values (7) 10
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
c 8
30.8%
l 4
15.4%
a 4
15.4%
t 2
 
7.7%
i 2
 
7.7%
u 2
 
7.7%
b 2
 
7.7%
y 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 5
26.3%
8 4
21.1%
3 4
21.1%
1 2
 
10.5%
9 2
 
10.5%
2 1
 
5.3%
6 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 25
96.2%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1729
81.4%
Common 259
 
12.2%
Latin 136
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 120
 
6.9%
클 107
 
6.2%
럽 105
 
6.1%
트 101
 
5.8%
프 82
 
4.7%
골 75
 
4.3%
컨 74
 
4.3%
스 62
 
3.6%
주 44
 
2.5%
이 39
 
2.3%
Other values (183) 920
53.2%
Latin
ValueCountFrequency (%)
C 58
42.6%
G 16
 
11.8%
c 8
 
5.9%
S 7
 
5.1%
l 4
 
2.9%
P 4
 
2.9%
a 4
 
2.9%
E 4
 
2.9%
B 3
 
2.2%
A 2
 
1.5%
Other values (15) 26
19.1%
Common
ValueCountFrequency (%)
112
43.2%
) 50
19.3%
( 50
19.3%
. 25
 
9.7%
0 5
 
1.9%
8 4
 
1.5%
3 4
 
1.5%
- 2
 
0.8%
1 2
 
0.8%
9 2
 
0.8%
Other values (3) 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1729
81.4%
ASCII 395
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 120
 
6.9%
클 107
 
6.2%
럽 105
 
6.1%
트 101
 
5.8%
프 82
 
4.7%
골 75
 
4.3%
컨 74
 
4.3%
스 62
 
3.6%
주 44
 
2.5%
이 39
 
2.3%
Other values (183) 920
53.2%
ASCII
ValueCountFrequency (%)
112
28.4%
C 58
14.7%
) 50
12.7%
( 50
12.7%
. 25
 
6.3%
G 16
 
4.1%
c 8
 
2.0%
S 7
 
1.8%
0 5
 
1.3%
l 4
 
1.0%
Other values (28) 60
15.2%

인허가일자
Date

Distinct154
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1964-09-28 00:00:00
Maximum2023-02-07 00:00:00
2023-12-11T06:36:47.515193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:47.664956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing216
Missing (%)100.0%
Memory size2.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
160 
13
56 

Length

Max length4
Median length4
Mean length3.4814815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 160
74.1%
13 56
 
25.9%

Length

2023-12-11T06:36:47.852476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:47.972552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
74.1%
13 56
 
25.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
운영중
158 
영업중
56 
폐업 등
 
2

Length

Max length4
Median length3
Mean length3.0092593
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 158
73.1%
영업중 56
 
25.9%
폐업 등 2
 
0.9%

Length

2023-12-11T06:36:48.070722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:48.191595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 158
72.5%
영업중 56
 
25.7%
폐업 2
 
0.9%
등 2
 
0.9%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
215 
20160325
 
1

Length

Max length8
Median length4
Mean length4.0185185
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 215
99.5%
20160325 1
 
0.5%

Length

2023-12-11T06:36:48.405994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:48.546760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
99.5%
20160325 1
 
0.5%

소재지시설전화번호
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing184
Missing (%)85.2%
Memory size1.8 KiB
2023-12-11T06:36:48.774906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length10.46875
Min length8

Characters and Unicode

Total characters335
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

Unique32 ?
Unique (%)100.0%

Sample

1st row031-585-7900-115
2nd row02-353-0091
3rd row760-8032
4th row031-719-0300
5th row031-760-3421
ValueCountFrequency (%)
031-585-7900-115 1
 
3.1%
02-353-0091 1
 
3.1%
031-369-8921 1
 
3.1%
031-352-7150 1
 
3.1%
031-538-0777 1
 
3.1%
031-531-3841 1
 
3.1%
943-0040 1
 
3.1%
640-0123 1
 
3.1%
640-8114 1
 
3.1%
645-1800 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T06:36:49.185776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 71
21.2%
- 52
15.5%
3 45
13.4%
1 37
11.0%
8 26
 
7.8%
7 23
 
6.9%
6 19
 
5.7%
5 18
 
5.4%
2 18
 
5.4%
4 14
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 283
84.5%
Dash Punctuation 52
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
25.1%
3 45
15.9%
1 37
13.1%
8 26
 
9.2%
7 23
 
8.1%
6 19
 
6.7%
5 18
 
6.4%
2 18
 
6.4%
4 14
 
4.9%
9 12
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 335
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 71
21.2%
- 52
15.5%
3 45
13.4%
1 37
11.0%
8 26
 
7.8%
7 23
 
6.9%
6 19
 
5.7%
5 18
 
5.4%
2 18
 
5.4%
4 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 71
21.2%
- 52
15.5%
3 45
13.4%
1 37
11.0%
8 26
 
7.8%
7 23
 
6.9%
6 19
 
5.7%
5 18
 
5.4%
2 18
 
5.4%
4 14
 
4.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing216
Missing (%)100.0%
Memory size2.0 KiB

도로명우편번호
Text

MISSING 

Distinct34
Distinct (%)91.9%
Missing179
Missing (%)82.9%
Memory size1.8 KiB
2023-12-11T06:36:49.415266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.6486486
Min length5

Characters and Unicode

Total characters209
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

Unique33 ?
Unique (%)89.2%

Sample

1st row477-823
2nd row12445
3rd row12459
4th row12432
5th row10293
ValueCountFrequency (%)
17406 4
 
10.8%
17414 1
 
2.7%
18516 1
 
2.7%
18465 1
 
2.7%
18544 1
 
2.7%
11124 1
 
2.7%
17396 1
 
2.7%
12543 1
 
2.7%
17423 1
 
2.7%
12459 1
 
2.7%
Other values (24) 24
64.9%
2023-12-11T06:36:49.790236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 38
18.2%
1 35
16.7%
2 20
9.6%
0 19
9.1%
7 18
8.6%
6 17
8.1%
5 13
 
6.2%
9 13
 
6.2%
3 12
 
5.7%
- 12
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
94.3%
Dash Punctuation 12
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 38
19.3%
1 35
17.8%
2 20
10.2%
0 19
9.6%
7 18
9.1%
6 17
8.6%
5 13
 
6.6%
9 13
 
6.6%
3 12
 
6.1%
8 12
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 38
18.2%
1 35
16.7%
2 20
9.6%
0 19
9.1%
7 18
8.6%
6 17
8.1%
5 13
 
6.2%
9 13
 
6.2%
3 12
 
5.7%
- 12
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 38
18.2%
1 35
16.7%
2 20
9.6%
0 19
9.1%
7 18
8.6%
6 17
8.1%
5 13
 
6.2%
9 13
 
6.2%
3 12
 
5.7%
- 12
 
5.7%

소재지도로명주소
Text

MISSING 

Distinct137
Distinct (%)70.6%
Missing22
Missing (%)10.2%
Memory size1.8 KiB
2023-12-11T06:36:50.101741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length23.603093
Min length18

Characters and Unicode

Total characters4579
Distinct characters219
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

Unique93 ?
Unique (%)47.9%

Sample

1st row경기도 가평군 상면 둔덕말길 232
2nd row경기도 가평군 상면 대보간선로 602-111 (크리스탈밸리)
3rd row경기도 가평군 설악면 다락재로 73-111 (청평마이다스골프클럽)
4th row경기도 가평군 조종면 운악청계로 809 (썬힐골프클럽)
5th row경기도 가평군 하면 운악청계로 702-24
ValueCountFrequency (%)
경기도 194
 
18.7%
용인시 28
 
2.7%
여주시 27
 
2.6%
이천시 22
 
2.1%
안성시 19
 
1.8%
처인구 19
 
1.8%
포천시 15
 
1.4%
광주시 12
 
1.2%
가평군 11
 
1.1%
모가면 10
 
1.0%
Other values (362) 678
65.5%
2023-12-11T06:36:50.559812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
851
 
18.6%
기 212
 
4.6%
도 208
 
4.5%
경 197
 
4.3%
시 182
 
4.0%
로 159
 
3.5%
1 129
 
2.8%
면 115
 
2.5%
2 113
 
2.5%
3 77
 
1.7%
Other values (209) 2336
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2769
60.5%
Space Separator 851
 
18.6%
Decimal Number 756
 
16.5%
Open Punctuation 55
 
1.2%
Close Punctuation 55
 
1.2%
Dash Punctuation 40
 
0.9%
Uppercase Letter 26
 
0.6%
Other Punctuation 25
 
0.5%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 212
 
7.7%
도 208
 
7.5%
경 197
 
7.1%
시 182
 
6.6%
로 159
 
5.7%
면 115
 
4.2%
동 69
 
2.5%
길 69
 
2.5%
주 65
 
2.3%
양 56
 
2.0%
Other values (183) 1437
51.9%
Decimal Number
ValueCountFrequency (%)
1 129
17.1%
2 113
14.9%
3 77
10.2%
5 70
9.3%
6 68
9.0%
7 63
8.3%
0 62
8.2%
4 62
8.2%
9 60
7.9%
8 52
6.9%
Uppercase Letter
ValueCountFrequency (%)
C 13
50.0%
P 2
 
7.7%
T 2
 
7.7%
L 2
 
7.7%
I 2
 
7.7%
N 2
 
7.7%
G 1
 
3.8%
E 1
 
3.8%
K 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 13
52.0%
, 12
48.0%
Space Separator
ValueCountFrequency (%)
851
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2769
60.5%
Common 1782
38.9%
Latin 28
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 212
 
7.7%
도 208
 
7.5%
경 197
 
7.1%
시 182
 
6.6%
로 159
 
5.7%
면 115
 
4.2%
동 69
 
2.5%
길 69
 
2.5%
주 65
 
2.3%
양 56
 
2.0%
Other values (183) 1437
51.9%
Common
ValueCountFrequency (%)
851
47.8%
1 129
 
7.2%
2 113
 
6.3%
3 77
 
4.3%
5 70
 
3.9%
6 68
 
3.8%
7 63
 
3.5%
0 62
 
3.5%
4 62
 
3.5%
9 60
 
3.4%
Other values (6) 227
 
12.7%
Latin
ValueCountFrequency (%)
C 13
46.4%
P 2
 
7.1%
T 2
 
7.1%
c 2
 
7.1%
L 2
 
7.1%
I 2
 
7.1%
N 2
 
7.1%
G 1
 
3.6%
E 1
 
3.6%
K 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2769
60.5%
ASCII 1810
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
851
47.0%
1 129
 
7.1%
2 113
 
6.2%
3 77
 
4.3%
5 70
 
3.9%
6 68
 
3.8%
7 63
 
3.5%
0 62
 
3.4%
4 62
 
3.4%
9 60
 
3.3%
Other values (16) 255
 
14.1%
Hangul
ValueCountFrequency (%)
기 212
 
7.7%
도 208
 
7.5%
경 197
 
7.1%
시 182
 
6.6%
로 159
 
5.7%
면 115
 
4.2%
동 69
 
2.5%
길 69
 
2.5%
주 65
 
2.3%
양 56
 
2.0%
Other values (183) 1437
51.9%

소재지지번주소
Text

Distinct198
Distinct (%)92.1%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2023-12-11T06:36:50.926383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length22.851163
Min length11

Characters and Unicode

Total characters4913
Distinct characters180
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)84.2%

Sample

1st row경기도 가평군 상면 상동리 산 52
2nd row경기도 가평군 상면 항사리 산 36-2
3rd row경기도 가평군 설악면 이천리 산 2-1
4th row경기도 가평군 조종면 운악리 산 144-1
5th row경기도 가평군 하면 하판리 산 90번지
ValueCountFrequency (%)
경기도 215
 
18.4%
산 85
 
7.3%
용인시 33
 
2.8%
여주시 27
 
2.3%
이천시 27
 
2.3%
처인구 23
 
2.0%
안성시 19
 
1.6%
포천시 15
 
1.3%
화성시 13
 
1.1%
광주시 12
 
1.0%
Other values (405) 702
59.9%
2023-12-11T06:36:51.489004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1010
20.6%
도 231
 
4.7%
기 226
 
4.6%
경 215
 
4.4%
시 200
 
4.1%
1 199
 
4.1%
지 173
 
3.5%
리 169
 
3.4%
번 160
 
3.3%
- 141
 
2.9%
Other values (170) 2189
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3037
61.8%
Space Separator 1010
 
20.6%
Decimal Number 692
 
14.1%
Dash Punctuation 141
 
2.9%
Uppercase Letter 24
 
0.5%
Other Punctuation 7
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 231
 
7.6%
기 226
 
7.4%
경 215
 
7.1%
시 200
 
6.6%
지 173
 
5.7%
리 169
 
5.6%
번 160
 
5.3%
면 126
 
4.1%
산 113
 
3.7%
동 76
 
2.5%
Other values (149) 1348
44.4%
Decimal Number
ValueCountFrequency (%)
1 199
28.8%
2 91
13.2%
4 75
 
10.8%
5 68
 
9.8%
3 57
 
8.2%
7 51
 
7.4%
8 43
 
6.2%
6 41
 
5.9%
9 36
 
5.2%
0 31
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 15
62.5%
L 2
 
8.3%
I 2
 
8.3%
N 2
 
8.3%
K 1
 
4.2%
E 1
 
4.2%
G 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1010
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3037
61.8%
Common 1850
37.7%
Latin 26
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 231
 
7.6%
기 226
 
7.4%
경 215
 
7.1%
시 200
 
6.6%
지 173
 
5.7%
리 169
 
5.6%
번 160
 
5.3%
면 126
 
4.1%
산 113
 
3.7%
동 76
 
2.5%
Other values (149) 1348
44.4%
Common
ValueCountFrequency (%)
1010
54.6%
1 199
 
10.8%
- 141
 
7.6%
2 91
 
4.9%
4 75
 
4.1%
5 68
 
3.7%
3 57
 
3.1%
7 51
 
2.8%
8 43
 
2.3%
6 41
 
2.2%
Other values (3) 74
 
4.0%
Latin
ValueCountFrequency (%)
C 15
57.7%
L 2
 
7.7%
I 2
 
7.7%
N 2
 
7.7%
c 2
 
7.7%
K 1
 
3.8%
E 1
 
3.8%
G 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3037
61.8%
ASCII 1876
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1010
53.8%
1 199
 
10.6%
- 141
 
7.5%
2 91
 
4.9%
4 75
 
4.0%
5 68
 
3.6%
3 57
 
3.0%
7 51
 
2.7%
8 43
 
2.3%
6 41
 
2.2%
Other values (11) 100
 
5.3%
Hangul
ValueCountFrequency (%)
도 231
 
7.6%
기 226
 
7.4%
경 215
 
7.1%
시 200
 
6.6%
지 173
 
5.7%
리 169
 
5.6%
번 160
 
5.3%
면 126
 
4.1%
산 113
 
3.7%
동 76
 
2.5%
Other values (149) 1348
44.4%

소재지우편번호
Text

Distinct169
Distinct (%)79.0%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
2023-12-11T06:36:51.845706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8271028
Min length5

Characters and Unicode

Total characters1247
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

Unique134 ?
Unique (%)62.6%

Sample

1st row477-823
2nd row12445
3rd row12459
4th row12432
5th row477833
ValueCountFrequency (%)
17406 8
 
3.7%
469863 4
 
1.9%
472847 3
 
1.4%
469883 3
 
1.4%
12543 2
 
0.9%
11306 2
 
0.9%
17414 2
 
0.9%
11124 2
 
0.9%
446908 2
 
0.9%
456931 2
 
0.9%
Other values (159) 184
86.0%
2023-12-11T06:36:52.335569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 263
21.1%
1 154
12.3%
8 148
11.9%
6 116
9.3%
9 100
 
8.0%
2 98
 
7.9%
7 93
 
7.5%
0 91
 
7.3%
5 83
 
6.7%
3 74
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
97.8%
Dash Punctuation 27
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 263
21.6%
1 154
12.6%
8 148
12.1%
6 116
9.5%
9 100
 
8.2%
2 98
 
8.0%
7 93
 
7.6%
0 91
 
7.5%
5 83
 
6.8%
3 74
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 263
21.1%
1 154
12.3%
8 148
11.9%
6 116
9.3%
9 100
 
8.0%
2 98
 
7.9%
7 93
 
7.5%
0 91
 
7.3%
5 83
 
6.7%
3 74
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 263
21.1%
1 154
12.3%
8 148
11.9%
6 116
9.3%
9 100
 
8.0%
2 98
 
7.9%
7 93
 
7.5%
0 91
 
7.3%
5 83
 
6.7%
3 74
 
5.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)68.8%
Missing14
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean37.414486
Minimum36.959592
Maximum38.073339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:52.496594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959592
5-th percentile37.083933
Q137.177107
median37.31742
Q337.665767
95-th percentile37.932894
Maximum38.073339
Range1.1137471
Interquartile range (IQR)0.48865971

Descriptive statistics

Standard deviation0.29356066
Coefficient of variation (CV)0.0078461765
Kurtosis-0.98206376
Mean37.414486
Median Absolute Deviation (MAD)0.16666952
Skewness0.6176411
Sum7557.7262
Variance0.086177862
MonotonicityNot monotonic
2023-12-11T06:36:52.647470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1771071456 4
 
1.9%
37.784765649 4
 
1.9%
37.6134801585 4
 
1.9%
37.1542659198 4
 
1.9%
37.0203141752 4
 
1.9%
37.1165487427 3
 
1.4%
37.2716075235 3
 
1.4%
37.1805960356 3
 
1.4%
37.0927706903 3
 
1.4%
37.9264683398 2
 
0.9%
Other values (129) 168
77.8%
(Missing) 14
 
6.5%
ValueCountFrequency (%)
36.9595919551 1
 
0.5%
37.0203141752 4
1.9%
37.0443372215 1
 
0.5%
37.0469013207 1
 
0.5%
37.0599544193 2
0.9%
37.0754876649 1
 
0.5%
37.0838650595 1
 
0.5%
37.0852193993 1
 
0.5%
37.0893554146 1
 
0.5%
37.0927706903 3
1.4%
ValueCountFrequency (%)
38.0733390604 2
0.9%
38.002476542 2
0.9%
38.0017348868 1
0.5%
37.989158139 1
0.5%
37.9708996171 2
0.9%
37.9678007073 2
0.9%
37.9332319168 1
0.5%
37.9264683398 2
0.9%
37.9239816889 1
0.5%
37.9017308724 2
0.9%

WGS84경도
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)68.8%
Missing14
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean127.2547
Minimum126.53419
Maximum127.74341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:52.806373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53419
5-th percentile126.8355
Q1127.09659
median127.27876
Q3127.42259
95-th percentile127.69184
Maximum127.74341
Range1.2092195
Interquartile range (IQR)0.32600199

Descriptive statistics

Standard deviation0.26962357
Coefficient of variation (CV)0.002118771
Kurtosis-0.29821972
Mean127.2547
Median Absolute Deviation (MAD)0.15264247
Skewness-0.32256687
Sum25705.449
Variance0.072696868
MonotonicityNot monotonic
2023-12-11T06:36:52.989794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.524445425 4
 
1.9%
127.087126056 4
 
1.9%
127.2898277942 4
 
1.9%
127.4314045964 4
 
1.9%
127.3855343253 4
 
1.9%
126.8604049669 3
 
1.4%
127.7339647837 3
 
1.4%
127.4168818722 3
 
1.4%
127.2544108678 3
 
1.4%
127.3250098978 2
 
0.9%
Other values (129) 168
77.8%
(Missing) 14
 
6.5%
ValueCountFrequency (%)
126.5341928032 2
0.9%
126.5646270036 1
0.5%
126.5654892796 1
0.5%
126.7532005181 2
0.9%
126.7713755012 1
0.5%
126.7773182936 2
0.9%
126.8350207515 2
0.9%
126.8446196107 2
0.9%
126.8577173524 1
0.5%
126.8583966891 1
0.5%
ValueCountFrequency (%)
127.7434122913 1
 
0.5%
127.7393866828 1
 
0.5%
127.7339647837 3
1.4%
127.7265930476 1
 
0.5%
127.7014405714 2
0.9%
127.7004348715 1
 
0.5%
127.6918987923 2
0.9%
127.6907116469 1
 
0.5%
127.6560877328 2
0.9%
127.651671375 1
 
0.5%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing216
Missing (%)100.0%
Memory size2.0 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)96.0%
Missing166
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean223264.5
Minimum159126.21
Maximum265319.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:53.141680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159126.21
5-th percentile182512.12
Q1207668.54
median226445.59
Q3238080.46
95-th percentile260399.81
Maximum265319.71
Range106193.51
Interquartile range (IQR)30411.927

Descriptive statistics

Standard deviation25052.663
Coefficient of variation (CV)0.11221069
Kurtosis-0.31852595
Mean223264.5
Median Absolute Deviation (MAD)12780.964
Skewness-0.41184089
Sum11163225
Variance6.2763593 × 108
MonotonicityNot monotonic
2023-12-11T06:36:53.280200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
233676.547652626 2
 
0.9%
238263.44452947 2
 
0.9%
237025.671675748 1
 
0.5%
251743.990723393 1
 
0.5%
255479.332661251 1
 
0.5%
195447.915597208 1
 
0.5%
216644.639814228 1
 
0.5%
230392.049876564 1
 
0.5%
214699.402391178 1
 
0.5%
219138.424611781 1
 
0.5%
Other values (38) 38
 
17.6%
(Missing) 166
76.9%
ValueCountFrequency (%)
159126.2084733 1
0.5%
178106.049622798 1
0.5%
180144.893028429 1
0.5%
185405.394928604 1
0.5%
186403.240447222 1
0.5%
187470.231221832 1
0.5%
189161.691345477 1
0.5%
191287.781664501 1
0.5%
194950.116480648 1
0.5%
195447.915597208 1
0.5%
ValueCountFrequency (%)
265319.713510449 1
0.5%
262558.481893985 1
0.5%
262338.468623772 1
0.5%
258030.336615108 1
0.5%
257787.727471873 1
0.5%
255479.332661251 1
0.5%
254709.922386563 1
0.5%
253649.873384913 1
0.5%
251743.990723393 1
0.5%
243475.608955394 1
0.5%

Y좌표값
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)96.0%
Missing166
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean437159.95
Minimum391923.58
Maximum507997.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:53.409339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum391923.58
5-th percentile399173.24
Q1409167.38
median425890.05
Q3466491.49
95-th percentile497309.76
Maximum507997.85
Range116074.27
Interquartile range (IQR)57324.105

Descriptive statistics

Standard deviation33444.887
Coefficient of variation (CV)0.076504921
Kurtosis-1.013572
Mean437159.95
Median Absolute Deviation (MAD)19957.127
Skewness0.57502663
Sum21857997
Variance1.1185605 × 109
MonotonicityNot monotonic
2023-12-11T06:36:53.568483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
391923.582757029 2
 
0.9%
405932.926652506 2
 
0.9%
408991.623486773 1
 
0.5%
410088.349032993 1
 
0.5%
413138.731763236 1
 
0.5%
499514.70725003 1
 
0.5%
403119.762771432 1
 
0.5%
401226.807243156 1
 
0.5%
422267.015752997 1
 
0.5%
420903.964757574 1
 
0.5%
Other values (38) 38
 
17.6%
(Missing) 166
76.9%
ValueCountFrequency (%)
391923.582757029 2
0.9%
398772.134119956 1
0.5%
399663.486769086 1
0.5%
401226.807243156 1
0.5%
403119.762771432 1
0.5%
405932.926652506 2
0.9%
406826.131973447 1
0.5%
407413.967719111 1
0.5%
407750.209995288 1
0.5%
408776.863112327 1
0.5%
ValueCountFrequency (%)
507997.848408459 1
0.5%
499514.70725003 1
0.5%
498452.263271918 1
0.5%
495913.369287004 1
0.5%
489069.801694673 1
0.5%
486176.227861485 1
0.5%
477303.07158774 1
0.5%
476563.673216968 1
0.5%
475762.694476609 1
0.5%
475511.334664673 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
골프장
216 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프장 216
100.0%

Length

2023-12-11T06:36:53.692460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:53.782984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프장 216
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
사립
214 
공립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 214
99.1%
공립 2
 
0.9%

Length

2023-12-11T06:36:53.889337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:54.004438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 214
99.1%
공립 2
 
0.9%

보험가입여부코드
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
167 
0
21 
1
 
15
Y
 
13

Length

Max length4
Median length4
Mean length3.3194444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 167
77.3%
0 21
 
9.7%
1 15
 
6.9%
Y 13
 
6.0%

Length

2023-12-11T06:36:54.149249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:54.264167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
77.3%
0 21
 
9.7%
1 15
 
6.9%
y 13
 
6.0%

건축물연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct151
Distinct (%)80.3%
Missing28
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean45989.923
Minimum0
Maximum1918640
Zeros5
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:54.455129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91.4175
Q14910.41
median8705.92
Q311156.288
95-th percentile22811.16
Maximum1918640
Range1918640
Interquartile range (IQR)6245.8775

Descriptive statistics

Standard deviation249944.42
Coefficient of variation (CV)5.434765
Kurtosis44.302217
Mean45989.923
Median Absolute Deviation (MAD)3088.925
Skewness6.7419347
Sum8646105.5
Variance6.2472215 × 1010
MonotonicityNot monotonic
2023-12-11T06:36:54.630375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.3%
11135.16 3
 
1.4%
20877.78 2
 
0.9%
9238.72 2
 
0.9%
21988.96 2
 
0.9%
9516.41 2
 
0.9%
8606.64 2
 
0.9%
3066.67 2
 
0.9%
9514.75 2
 
0.9%
7826.04 2
 
0.9%
Other values (141) 164
75.9%
(Missing) 28
 
13.0%
ValueCountFrequency (%)
0.0 5
2.3%
1.0 1
 
0.5%
76.0 1
 
0.5%
82.64 1
 
0.5%
82.93 2
 
0.9%
107.18 1
 
0.5%
194.29 1
 
0.5%
462.68 2
 
0.9%
861.0 2
 
0.9%
968.52 1
 
0.5%
ValueCountFrequency (%)
1918640.0 1
0.5%
1756252.0 1
0.5%
1717056.0 1
0.5%
1527293.0 1
0.5%
113170.63 1
0.5%
32024.13 1
0.5%
29433.73 1
0.5%
25626.54 1
0.5%
24063.21 1
0.5%
22811.16 2
0.9%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)20.0%
Missing166
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean153.96
Minimum0
Maximum2350
Zeros41
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:36:54.977801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1050.6
Maximum2350
Range2350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation471.16802
Coefficient of variation (CV)3.0603275
Kurtosis13.581942
Mean153.96
Median Absolute Deviation (MAD)0
Skewness3.6697196
Sum7698
Variance221999.3
MonotonicityNot monotonic
2023-12-11T06:36:55.079964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 41
 
19.0%
1200 1
 
0.5%
400 1
 
0.5%
390 1
 
0.5%
868 1
 
0.5%
1979 1
 
0.5%
212 1
 
0.5%
270 1
 
0.5%
29 1
 
0.5%
2350 1
 
0.5%
(Missing) 166
76.9%
ValueCountFrequency (%)
0 41
19.0%
29 1
 
0.5%
212 1
 
0.5%
270 1
 
0.5%
390 1
 
0.5%
400 1
 
0.5%
868 1
 
0.5%
1200 1
 
0.5%
1979 1
 
0.5%
2350 1
 
0.5%
ValueCountFrequency (%)
2350 1
 
0.5%
1979 1
 
0.5%
1200 1
 
0.5%
868 1
 
0.5%
400 1
 
0.5%
390 1
 
0.5%
270 1
 
0.5%
212 1
 
0.5%
29 1
 
0.5%
0 41
19.0%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드건축물연면적(㎡)회원모집총인원
0가평군가평베네스트G.C2004-09-24<NA>13영업중<NA><NA><NA>477-823경기도 가평군 상면 둔덕말길 232경기도 가평군 상면 상동리 산 52477-82337.797145127.305438<NA>226656.532694477303.071588골프장사립1<NA><NA>
1가평군크리스탈밸리C.C2004-09-21<NA>13영업중<NA><NA><NA>12445경기도 가평군 상면 대보간선로 602-111 (크리스탈밸리)경기도 가평군 상면 항사리 산 36-21244537.79416127.38727<NA>234301.294225476563.673217골프장사립17059.42<NA>
2가평군마이다스밸리 청평 골프 클럽2002-04-10<NA>13영업중<NA><NA><NA>12459경기도 가평군 설악면 다락재로 73-111 (청평마이다스골프클럽)경기도 가평군 설악면 이천리 산 2-11245937.665767127.458694<NA>240189.662032462459.267264골프장사립07826.040
3가평군썬힐G.C1999-09-10<NA>13영업중<NA>031-585-7900-115<NA>12432경기도 가평군 조종면 운악청계로 809 (썬힐골프클럽)경기도 가평군 조종면 운악리 산 144-11243237.879763127.351081<NA>231042.254563486176.227861골프장사립18897.0<NA>
4가평군가평리조트 골프장20130312<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 운악청계로 702-24경기도 가평군 하면 하판리 산 90번지47783337.87718127.369826<NA><NA><NA>골프장사립<NA>13810.0<NA>
5가평군썬힐G.C19990910<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 운악청계로 809 (썬힐골프클럽)경기도 가평군 조종면 운악리 산 144-1번지1243237.878525127.348548<NA><NA><NA>골프장사립<NA>8150.36<NA>
6가평군아난티클럽서울(주)20050823<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 유명로 961-34경기도 가평군 설악면 방일리 산 90-2번지47785137.627304127.490107<NA><NA><NA>골프장사립<NA>10099.92<NA>
7가평군프리스틴밸리G.C20030814<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 유명로 1243-199 (프리스틴밸리)경기도 가평군 설악면 이천리 산 2-12번지1246837.660746127.456395<NA><NA><NA>골프장사립<NA>5205.7<NA>
8가평군가평베네스트G.C20040924<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 상면 둔덕말길 232경기도 가평군 상면 상동리 산 52번지47782337.797145127.305438<NA><NA><NA>골프장사립<NA><NA><NA>
9가평군크리스탈밸리C.C20040921<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 상면 대보간선로 602-111 (크리스탈밸리)경기도 가평군 상면 항사리 산 36-2번지1244537.79416127.38727<NA><NA><NA>골프장사립<NA>7059.42<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드건축물연면적(㎡)회원모집총인원
206화성시화성골프클럽2008-10-10<NA>13영업중<NA>031-369-8921<NA>18254경기도 화성시 남양읍 화성로 1393-27경기도 화성시 남양읍 북양리 172-71825437.224748126.835021<NA>185405.394929413822.92276골프장사립10.00
207화성시신창기업(주)발리오스컨트리클럽(비회원제골프장업)1992-08-04<NA>13영업중<NA>031-352-5061<NA>445-971경기도 화성시 팔탄면 3.1만세로 641-28경기도 화성시 팔탄면 해창리 256-5445-97137.116549126.860405<NA><NA><NA>골프장사립182.93<NA>
208화성시화성골프클럽20081010<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 남양읍 화성로 1393-27경기도 화성시 남양읍 북양리 172번지44504037.224748126.835021<NA><NA><NA>골프장사립<NA><NA><NA>
209화성시(주)라비돌 라비돌컨트리클럽19961204<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지1851637.187083126.984148<NA><NA><NA>골프장사립<NA>1216.0<NA>
210화성시신창기업(주)발리오스컨트리클럽(대중제)19920804<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 팔탄면 3.1만세로 641-28경기도 화성시 팔탄면 해창리 256-5번지44597137.116549126.860405<NA><NA><NA>골프장사립<NA>82.93<NA>
211화성시삼남개발(주) 기흥컨트리클럽19910803<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 동탄면 신리 산 46-1번지445812<NA><NA><NA><NA><NA>골프장사립<NA>14811.86<NA>
212화성시링크나인골프클럽20090115<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 마도면 해운로630번길 49경기도 화성시 마도면 고모리 625-2번지44586137.1718126.753201<NA><NA><NA>골프장사립<NA>3041.88<NA>
213화성시화성 상록 G.C20061101<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 신동 178번지44581237.190527127.13552<NA><NA><NA>골프장사립<NA>22811.16<NA>
214화성시신창기업(주)발리오스컨트리클럽(회원제)19920804<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 팔탄면 3.1만세로 641-28경기도 화성시 팔탄면 해창리 256-5번지44595937.116549126.860405<NA><NA><NA>골프장사립<NA>11410.48<NA>
215화성시(주)관악 리베라컨트리클럽19720229<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 동탄면 오산리 435-2번지445813<NA><NA><NA><NA><NA>골프장사립<NA>1.0<NA>