Overview

Dataset statistics

Number of variables7
Number of observations289
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory15.9 KiB
Average record size in memory56.5 B

Variable types

DateTime1
Text5
Categorical1

Dataset

Description경상남도 거제시 개발행위 허가 정보 현황(주소, 위도, 경도, 지목, 면적, 용도지역, 허가목적, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://www.data.go.kr/data/15088486/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-17 10:06:57.122004
Analysis finished2024-04-17 10:06:57.611010
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가일자
Date

Distinct97
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-01-02 00:00:00
Maximum2023-06-07 00:00:00
2024-04-17T19:06:57.666387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:06:57.782094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위치
Text

Distinct269
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T19:06:58.028217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length23.311419
Min length17

Characters and Unicode

Total characters6737
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)86.2%

Sample

1st row경상남도 거제시 연초면 연사리56-3번지
2nd row경상남도 거제시 아주동 242-2번지 외 3필지
3rd row경상남도 거제시 연초면 송정리242-3번지 외 1필지
4th row경상남도 거제시 연초면 한내리100번지 외 1필지
5th row경상남도 거제시 연초면 죽토리468번지 외 2필지
ValueCountFrequency (%)
경상남도 289
20.7%
거제시 289
20.7%
외 89
 
6.4%
장목면 70
 
5.0%
사등면 45
 
3.2%
하청면 33
 
2.4%
1필지 32
 
2.3%
연초면 28
 
2.0%
2필지 28
 
2.0%
동부면 17
 
1.2%
Other values (302) 473
34.0%
2024-04-17T19:06:58.367098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1104
 
16.4%
거 307
 
4.6%
제 302
 
4.5%
시 300
 
4.5%
남 297
 
4.4%
상 294
 
4.4%
경 289
 
4.3%
도 289
 
4.3%
1 272
 
4.0%
면 242
 
3.6%
Other values (102) 3041
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4236
62.9%
Decimal Number 1207
 
17.9%
Space Separator 1104
 
16.4%
Dash Punctuation 189
 
2.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 307
 
7.2%
제 302
 
7.1%
시 300
 
7.1%
남 297
 
7.0%
상 294
 
6.9%
경 289
 
6.8%
도 289
 
6.8%
면 242
 
5.7%
리 240
 
5.7%
지 217
 
5.1%
Other values (89) 1459
34.4%
Decimal Number
ValueCountFrequency (%)
1 272
22.5%
2 196
16.2%
3 139
11.5%
4 113
9.4%
5 99
 
8.2%
7 96
 
8.0%
6 83
 
6.9%
9 70
 
5.8%
0 70
 
5.8%
8 69
 
5.7%
Space Separator
ValueCountFrequency (%)
1104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4236
62.9%
Common 2501
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 307
 
7.2%
제 302
 
7.1%
시 300
 
7.1%
남 297
 
7.0%
상 294
 
6.9%
경 289
 
6.8%
도 289
 
6.8%
면 242
 
5.7%
리 240
 
5.7%
지 217
 
5.1%
Other values (89) 1459
34.4%
Common
ValueCountFrequency (%)
1104
44.1%
1 272
 
10.9%
2 196
 
7.8%
- 189
 
7.6%
3 139
 
5.6%
4 113
 
4.5%
5 99
 
4.0%
7 96
 
3.8%
6 83
 
3.3%
9 70
 
2.8%
Other values (3) 140
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4235
62.9%
ASCII 2501
37.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1104
44.1%
1 272
 
10.9%
2 196
 
7.8%
- 189
 
7.6%
3 139
 
5.6%
4 113
 
4.5%
5 99
 
4.0%
7 96
 
3.8%
6 83
 
3.3%
9 70
 
2.8%
Other values (3) 140
 
5.6%
Hangul
ValueCountFrequency (%)
거 307
 
7.2%
제 302
 
7.1%
시 300
 
7.1%
남 297
 
7.0%
상 294
 
6.9%
경 289
 
6.8%
도 289
 
6.8%
면 242
 
5.7%
리 240
 
5.7%
지 217
 
5.1%
Other values (88) 1458
34.4%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

지목
Text

Distinct72
Distinct (%)25.0%
Missing1
Missing (%)0.3%
Memory size2.4 KiB
2024-04-17T19:06:58.521607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length1
Mean length2.3229167
Min length1

Characters and Unicode

Total characters669
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)16.3%

Sample

1st row대
2nd row답,천
3rd row답,천
4th row임,답
5th row잡,임
ValueCountFrequency (%)
전 99
25.8%
답 95
24.8%
임 67
17.5%
대 50
13.1%
도 12
 
3.1%
잡 8
 
2.1%
과 5
 
1.3%
장 5
 
1.3%
전,대 4
 
1.0%
답,대 4
 
1.0%
Other values (23) 34
 
8.9%
2024-04-17T19:06:58.761813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 134
20.0%
답 117
17.5%
전 115
17.2%
97
14.5%
임 77
11.5%
대 68
10.2%
도 16
 
2.4%
잡 11
 
1.6%
과 6
 
0.9%
장 5
 
0.7%
Other values (13) 23
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
64.7%
Other Punctuation 139
 
20.8%
Space Separator 97
 
14.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
답 117
27.0%
전 115
26.6%
임 77
17.8%
대 68
15.7%
도 16
 
3.7%
잡 11
 
2.5%
과 6
 
1.4%
장 5
 
1.2%
구 3
 
0.7%
창 3
 
0.7%
Other values (10) 12
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 134
96.4%
. 5
 
3.6%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
64.7%
Common 236
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
답 117
27.0%
전 115
26.6%
임 77
17.8%
대 68
15.7%
도 16
 
3.7%
잡 11
 
2.5%
과 6
 
1.4%
장 5
 
1.2%
구 3
 
0.7%
창 3
 
0.7%
Other values (10) 12
 
2.8%
Common
ValueCountFrequency (%)
, 134
56.8%
97
41.1%
. 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
64.7%
ASCII 236
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 134
56.8%
97
41.1%
. 5
 
2.1%
Hangul
ValueCountFrequency (%)
답 117
27.0%
전 115
26.6%
임 77
17.8%
대 68
15.7%
도 16
 
3.7%
잡 11
 
2.5%
과 6
 
1.4%
장 5
 
1.2%
구 3
 
0.7%
창 3
 
0.7%
Other values (10) 12
 
2.8%

면적(제곱미터)
Text

Distinct265
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T19:06:59.087840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length8
Mean length3.7854671
Min length2

Characters and Unicode

Total characters1094
Distinct characters24
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

Unique243 ?
Unique (%)84.1%

Sample

1st row478
2nd row2762
3rd row85
4th row55830
5th row2550
ValueCountFrequency (%)
334 3
 
1.0%
330 3
 
1.0%
4231 2
 
0.7%
12,531 2
 
0.7%
576 2
 
0.7%
660 2
 
0.7%
655 2
 
0.7%
550 2
 
0.7%
949 2
 
0.7%
1,931 2
 
0.7%
Other values (257) 269
92.4%
2024-04-17T19:06:59.523580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 167
15.3%
2 114
10.4%
3 113
10.3%
7 101
9.2%
9 97
8.9%
4 96
8.8%
6 92
8.4%
5 92
8.4%
0 84
7.7%
8 74
6.8%
Other values (14) 64
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1030
94.1%
Other Punctuation 48
 
4.4%
Space Separator 4
 
0.4%
Other Letter 4
 
0.4%
Math Symbol 3
 
0.3%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 167
16.2%
2 114
11.1%
3 113
11.0%
7 101
9.8%
9 97
9.4%
4 96
9.3%
6 92
8.9%
5 92
8.9%
0 84
8.2%
8 74
7.2%
Other Letter
ValueCountFrequency (%)
담 1
25.0%
장 1
25.0%
설 1
25.0%
치 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 40
83.3%
. 8
 
16.7%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
~ 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1087
99.4%
Hangul 4
 
0.4%
Latin 3
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 167
15.4%
2 114
10.5%
3 113
10.4%
7 101
9.3%
9 97
8.9%
4 96
8.8%
6 92
8.5%
5 92
8.5%
0 84
7.7%
8 74
6.8%
Other values (7) 57
 
5.2%
Hangul
ValueCountFrequency (%)
담 1
25.0%
장 1
25.0%
설 1
25.0%
치 1
25.0%
Latin
ValueCountFrequency (%)
H 1
33.3%
L 1
33.3%
m 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1090
99.6%
Hangul 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 167
15.3%
2 114
10.5%
3 113
10.4%
7 101
9.3%
9 97
8.9%
4 96
8.8%
6 92
8.4%
5 92
8.4%
0 84
7.7%
8 74
6.8%
Other values (10) 60
 
5.5%
Hangul
ValueCountFrequency (%)
담 1
25.0%
장 1
25.0%
설 1
25.0%
치 1
25.0%

용도지역
Text

Distinct59
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T19:06:59.694895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length6
Mean length8.3529412
Min length4

Characters and Unicode

Total characters2414
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)12.8%

Sample

1st row계획관리지역
2nd row자연녹지지역,개발행위허가제한지역
3rd row제1종일반주거지역
4th row계획관리지역,지구단위계획구역
5th row자연녹지지역(328), 제1종일반주거지역
ValueCountFrequency (%)
계획관리지역 115
36.3%
생산관리지역 42
 
13.2%
자연녹지지역 27
 
8.5%
농림지역 18
 
5.7%
보전관리지역 17
 
5.4%
제2종일반주거지역 14
 
4.4%
계획관리지역,자연취락지구 7
 
2.2%
제1종일반주거지역 6
 
1.9%
지구단위계획구역 4
 
1.3%
자연취락지구 4
 
1.3%
Other values (42) 63
19.9%
2024-04-17T19:07:00.007578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 396
16.4%
역 340
14.1%
관 208
 
8.6%
리 208
 
8.6%
계 149
 
6.2%
획 149
 
6.2%
, 89
 
3.7%
자 74
 
3.1%
산 68
 
2.8%
연 64
 
2.7%
Other values (53) 669
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2255
93.4%
Other Punctuation 95
 
3.9%
Space Separator 28
 
1.2%
Decimal Number 24
 
1.0%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 396
17.6%
역 340
15.1%
관 208
 
9.2%
리 208
 
9.2%
계 149
 
6.6%
획 149
 
6.6%
자 74
 
3.3%
산 68
 
3.0%
연 64
 
2.8%
생 56
 
2.5%
Other values (44) 543
24.1%
Decimal Number
ValueCountFrequency (%)
2 16
66.7%
1 6
 
25.0%
3 1
 
4.2%
8 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 89
93.7%
/ 6
 
6.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2255
93.4%
Common 159
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 396
17.6%
역 340
15.1%
관 208
 
9.2%
리 208
 
9.2%
계 149
 
6.6%
획 149
 
6.6%
자 74
 
3.3%
산 68
 
3.0%
연 64
 
2.8%
생 56
 
2.5%
Other values (44) 543
24.1%
Common
ValueCountFrequency (%)
, 89
56.0%
28
 
17.6%
2 16
 
10.1%
/ 6
 
3.8%
) 6
 
3.8%
1 6
 
3.8%
( 6
 
3.8%
3 1
 
0.6%
8 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
93.4%
ASCII 159
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 396
17.6%
역 340
15.1%
관 208
 
9.2%
리 208
 
9.2%
계 149
 
6.6%
획 149
 
6.6%
자 74
 
3.3%
산 68
 
3.0%
연 64
 
2.8%
생 56
 
2.5%
Other values (44) 543
24.1%
ASCII
ValueCountFrequency (%)
, 89
56.0%
28
 
17.6%
2 16
 
10.1%
/ 6
 
3.8%
) 6
 
3.8%
1 6
 
3.8%
( 6
 
3.8%
3 1
 
0.6%
8 1
 
0.6%

허가목적
Text

Distinct123
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-17T19:07:00.198968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length12.442907
Min length4

Characters and Unicode

Total characters3596
Distinct characters169
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)32.2%

Sample

1st row태양광발전시설(건축물 위)
2nd row임시 야적장, 물건적치
3rd row주택 진입로 조성(확장)
4th row공동주택 신축
5th row자동차관련시설(세차장) 및 제2종근린생활시설,창고시설 증축
ValueCountFrequency (%)
신축 109
 
17.4%
단독주택 67
 
10.7%
토지분할 54
 
8.6%
및 34
 
5.4%
제2종근린생활시설 22
 
3.5%
변경 16
 
2.6%
농지개량 13
 
2.1%
단독주택(단독 12
 
1.9%
제1종근린생활시설(소매점 11
 
1.8%
위 10
 
1.6%
Other values (155) 277
44.3%
2024-04-17T19:07:00.502550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
 
9.5%
축 179
 
5.0%
( 144
 
4.0%
) 144
 
4.0%
신 139
 
3.9%
지 127
 
3.5%
설 124
 
3.4%
단 113
 
3.1%
주 110
 
3.1%
독 109
 
3.0%
Other values (159) 2066
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2751
76.5%
Space Separator 341
 
9.5%
Open Punctuation 145
 
4.0%
Close Punctuation 145
 
4.0%
Decimal Number 142
 
3.9%
Other Punctuation 66
 
1.8%
Math Symbol 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 179
 
6.5%
신 139
 
5.1%
지 127
 
4.6%
설 124
 
4.5%
단 113
 
4.1%
주 110
 
4.0%
독 109
 
4.0%
택 106
 
3.9%
시 106
 
3.9%
제 84
 
3.1%
Other values (139) 1554
56.5%
Decimal Number
ValueCountFrequency (%)
1 64
45.1%
2 57
40.1%
4 6
 
4.2%
3 5
 
3.5%
8 3
 
2.1%
5 3
 
2.1%
6 2
 
1.4%
0 1
 
0.7%
9 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 43
65.2%
/ 22
33.3%
. 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 144
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 144
99.3%
] 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
→ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2751
76.5%
Common 845
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 179
 
6.5%
신 139
 
5.1%
지 127
 
4.6%
설 124
 
4.5%
단 113
 
4.1%
주 110
 
4.0%
독 109
 
4.0%
택 106
 
3.9%
시 106
 
3.9%
제 84
 
3.1%
Other values (139) 1554
56.5%
Common
ValueCountFrequency (%)
341
40.4%
( 144
17.0%
) 144
17.0%
1 64
 
7.6%
2 57
 
6.7%
, 43
 
5.1%
/ 22
 
2.6%
4 6
 
0.7%
3 5
 
0.6%
8 3
 
0.4%
Other values (10) 16
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2751
76.5%
ASCII 844
 
23.5%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
40.4%
( 144
17.1%
) 144
17.1%
1 64
 
7.6%
2 57
 
6.8%
, 43
 
5.1%
/ 22
 
2.6%
4 6
 
0.7%
3 5
 
0.6%
8 3
 
0.4%
Other values (9) 15
 
1.8%
Hangul
ValueCountFrequency (%)
축 179
 
6.5%
신 139
 
5.1%
지 127
 
4.6%
설 124
 
4.5%
단 113
 
4.1%
주 110
 
4.0%
독 109
 
4.0%
택 106
 
3.9%
시 106
 
3.9%
제 84
 
3.1%
Other values (139) 1554
56.5%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-09-19
289 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-19
2nd row2023-09-19
3rd row2023-09-19
4th row2023-09-19
5th row2023-09-19

Common Values

ValueCountFrequency (%)
2023-09-19 289
100.0%

Length

2024-04-17T19:07:00.606943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:07:00.678417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-19 289
100.0%

Correlations

2024-04-17T19:07:00.722201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가일자지목용도지역
허가일자1.0000.0000.000
지목0.0001.0000.960
용도지역0.0000.9601.000

Missing values

2024-04-17T19:06:57.492879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:06:57.577178image/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

허가일자위치지목면적(제곱미터)용도지역허가목적기준일자
02023-01-02경상남도 거제시 연초면 연사리56-3번지대478계획관리지역태양광발전시설(건축물 위)2023-09-19
12023-01-02경상남도 거제시 아주동 242-2번지 외 3필지답,천2762자연녹지지역,개발행위허가제한지역임시 야적장, 물건적치2023-09-19
22023-01-04경상남도 거제시 연초면 송정리242-3번지 외 1필지답,천85제1종일반주거지역주택 진입로 조성(확장)2023-09-19
32023-01-11경상남도 거제시 연초면 한내리100번지 외 1필지임,답55830계획관리지역,지구단위계획구역공동주택 신축2023-09-19
42023-01-19경상남도 거제시 연초면 죽토리468번지 외 2필지잡,임2550자연녹지지역(328), 제1종일반주거지역자동차관련시설(세차장) 및 제2종근린생활시설,창고시설 증축2023-09-19
52023-01-25경상남도 거제시 연초면 한내리516-1번지전2426계획관리지역토지분할2023-09-19
62023-01-30경상남도 거제시 장승포 동383-5번지대,주,전,도6453일반상업지역공동주택(아파트) 및 근린생활시설 신축2023-09-19
72023-02-06경상남도 거제시 연초면 연사리1391-3번지답,대1335생산녹지지역,자연녹지지역제2종근린생활시설(수리점) 신축2023-09-19
82023-02-09경상남도 거제시 아주동 598-4답172준공업지역근린생활시설 부지 증축2023-09-19
92023-02-16경상남도 거제시 연초면 죽토리1022번지답,종113자연녹지지역농로개설공사2023-09-19
허가일자위치지목면적(제곱미터)용도지역허가목적기준일자
2792023-05-11경상남도 거제시 사등면 사곡리280-2 외 3필지대, 답, 전2582자연녹지지역운동시설(골프연습장) 및 제2종근생(일반음식점) 신축,(부지면적 증가)2023-09-19
2802023-05-11경상남도 거제시 사등면 창호리605 외 1필지전950계획관리지역,자연취락지구숙박시설 신축2023-09-19
2812023-05-15경상남도 거제시 사등면 덕호리산8-45 외 5필지임, 대, 전949계획관리지역,자연취락지구옥외광고판 철거공사 작업로 개설2023-09-19
2822023-05-15경상남도 거제시 사등면 사등리1314-1임9470생산관리지역,계획관리지역단독(다가구)주택 및 제1종근생(소매점) 신축,(허가기간 연장)2023-09-19
2832023-05-17경상남도 거제시 둔덕면 거림리산76-5임500농림지역,(임업용산지)자연장지 부지조성,(조성계획 변경)2023-09-19
2842023-05-19경상남도 거제시 사등면 사등리2050 외 12필지장34039계획관리지역,지구단위계획구역공장 신축2023-09-19
2852023-05-21경상남도 거제시 사등면 청곡리673-3 외 4필지과, 전, 임2,244계획관리지역숙박시설(일반숙박) 신축2023-09-19
2862023-05-24경상남도 거제시 둔덕면 하둔리48-44답1,507.50생산관리지역토지분할2023-09-19
2872023-05-26경상남도 거제시 사등면 창호리1226 외 2필지전1,000생산관리지역,자연환경보전지역,수산자원보호구역단독주택(단독) 신축2023-09-19
2882023-05-26경상남도 거제시 사등면 창호리1226 외 1필지전765생산관리지역,자연환경보전지역,수산자원보호구역제2종근생(사무소) 신축2023-09-19

Duplicate rows

Most frequently occurring

허가일자위치지목면적(제곱미터)용도지역허가목적기준일자# duplicates
02023-05-30경상남도 거제시 장목면 유호리78-6 외6전576계획관리지역단독주택 신축2023-09-192