Overview

Dataset statistics

Number of variables9
Number of observations334
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory74.4 B

Variable types

Numeric2
Text3
Categorical3
DateTime1

Dataset

Description전라남도 광양시의 개발행위 허가정보(대지위치, 면적, 용도, 허가일 등)에 대한 데이터를 전국민에게 무료로 제공
URLhttps://www.data.go.kr/data/3079581/fileData.do

Alerts

연번 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 연번High correlation
허가구분 is highly imbalanced (58.6%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:30:00.920399
Analysis finished2023-12-12 14:30:02.130938
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct334
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.5
Minimum1
Maximum334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T23:30:02.222527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.65
Q184.25
median167.5
Q3250.75
95-th percentile317.35
Maximum334
Range333
Interquartile range (IQR)166.5

Descriptive statistics

Standard deviation96.561725
Coefficient of variation (CV)0.57648791
Kurtosis-1.2
Mean167.5
Median Absolute Deviation (MAD)83.5
Skewness0
Sum55945
Variance9324.1667
MonotonicityStrictly increasing
2023-12-12T23:30:02.418614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
Other values (324) 324
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%

대지위치
Text

Distinct307
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T23:30:02.741864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length67
Mean length26.646707
Min length16

Characters and Unicode

Total characters8900
Distinct characters104
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)86.8%

Sample

1st row전라남도 광양시 광양읍 익신리 739-4
2nd row전라남도 광양시 광양읍 덕례리 84-3, 84-4(85-2) 105
3rd row전라남도 광양시 광양읍 우산리 산120-25, 산121
4th row전라남도 광양시 중군동 182
5th row전라남도 광양시 광양읍 구산리 산65-1
ValueCountFrequency (%)
광양시 347
18.6%
전라남도 346
 
18.6%
광양읍 91
 
4.9%
옥곡면 44
 
2.4%
옥룡면 36
 
1.9%
진상면 31
 
1.7%
봉강면 31
 
1.7%
진월면 28
 
1.5%
덕례리 23
 
1.2%
다압면 22
 
1.2%
Other values (547) 865
46.4%
2023-12-12T23:30:03.278552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1586
17.8%
1 475
 
5.3%
광 441
 
5.0%
양 438
 
4.9%
- 393
 
4.4%
도 358
 
4.0%
남 354
 
4.0%
전 351
 
3.9%
라 347
 
3.9%
시 347
 
3.9%
Other values (94) 3810
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4447
50.0%
Decimal Number 2220
24.9%
Space Separator 1586
 
17.8%
Dash Punctuation 393
 
4.4%
Other Punctuation 242
 
2.7%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 441
 
9.9%
양 438
 
9.8%
도 358
 
8.1%
남 354
 
8.0%
전 351
 
7.9%
라 347
 
7.8%
시 347
 
7.8%
리 282
 
6.3%
면 192
 
4.3%
산 107
 
2.4%
Other values (78) 1230
27.7%
Decimal Number
ValueCountFrequency (%)
1 475
21.4%
2 249
11.2%
3 225
10.1%
5 223
10.0%
6 217
9.8%
4 202
9.1%
7 201
9.1%
8 154
 
6.9%
0 140
 
6.3%
9 134
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 241
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4453
50.0%
Hangul 4447
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 441
 
9.9%
양 438
 
9.8%
도 358
 
8.1%
남 354
 
8.0%
전 351
 
7.9%
라 347
 
7.8%
시 347
 
7.8%
리 282
 
6.3%
면 192
 
4.3%
산 107
 
2.4%
Other values (78) 1230
27.7%
Common
ValueCountFrequency (%)
1586
35.6%
1 475
 
10.7%
- 393
 
8.8%
2 249
 
5.6%
, 241
 
5.4%
3 225
 
5.1%
5 223
 
5.0%
6 217
 
4.9%
4 202
 
4.5%
7 201
 
4.5%
Other values (6) 441
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4453
50.0%
Hangul 4447
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1586
35.6%
1 475
 
10.7%
- 393
 
8.8%
2 249
 
5.6%
, 241
 
5.4%
3 225
 
5.1%
5 223
 
5.0%
6 217
 
4.9%
4 202
 
4.5%
7 201
 
4.5%
Other values (6) 441
 
9.9%
Hangul
ValueCountFrequency (%)
광 441
 
9.9%
양 438
 
9.8%
도 358
 
8.1%
남 354
 
8.0%
전 351
 
7.9%
라 347
 
7.8%
시 347
 
7.8%
리 282
 
6.3%
면 192
 
4.3%
산 107
 
2.4%
Other values (78) 1230
27.7%

지목
Text

Distinct65
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T23:30:03.524640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.8173653
Min length1

Characters and Unicode

Total characters607
Distinct characters25
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

Unique42 ?
Unique (%)12.6%

Sample

1st row장
2nd row답,전
3rd row임, 도
4th row답
5th row임
ValueCountFrequency (%)
답 98
26.3%
전 62
16.6%
임 53
14.2%
대 32
 
8.6%
도 21
 
5.6%
장 16
 
4.3%
잡 13
 
3.5%
답,도 7
 
1.9%
대,도 7
 
1.9%
임,도 4
 
1.1%
Other values (43) 60
16.1%
2023-12-12T23:30:03.902595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
답 132
21.7%
, 114
18.8%
전 78
12.9%
임 71
11.7%
도 54
8.9%
대 49
 
8.1%
41
 
6.8%
장 17
 
2.8%
잡 14
 
2.3%
구 9
 
1.5%
Other values (15) 28
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
74.5%
Other Punctuation 114
 
18.8%
Space Separator 41
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
답 132
29.2%
전 78
17.3%
임 71
15.7%
도 54
11.9%
대 49
 
10.8%
장 17
 
3.8%
잡 14
 
3.1%
구 9
 
2.0%
천 4
 
0.9%
공 3
 
0.7%
Other values (13) 21
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 114
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
74.5%
Common 155
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
답 132
29.2%
전 78
17.3%
임 71
15.7%
도 54
11.9%
대 49
 
10.8%
장 17
 
3.8%
잡 14
 
3.1%
구 9
 
2.0%
천 4
 
0.9%
공 3
 
0.7%
Other values (13) 21
 
4.6%
Common
ValueCountFrequency (%)
, 114
73.5%
41
 
26.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
74.5%
ASCII 155
 
25.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
답 132
29.2%
전 78
17.3%
임 71
15.7%
도 54
11.9%
대 49
 
10.8%
장 17
 
3.8%
잡 14
 
3.1%
구 9
 
2.0%
천 4
 
0.9%
공 3
 
0.7%
Other values (13) 21
 
4.6%
ASCII
ValueCountFrequency (%)
, 114
73.5%
41
 
26.5%

허가면적(제곱미터)
Real number (ℝ)

Distinct277
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1639.6916
Minimum20
Maximum66179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T23:30:04.085052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile95
Q1334.5
median648
Q31174.75
95-th percentile5010.3
Maximum66179
Range66159
Interquartile range (IQR)840.25

Descriptive statistics

Standard deviation5227.7717
Coefficient of variation (CV)3.1882652
Kurtosis98.372154
Mean1639.6916
Median Absolute Deviation (MAD)353.5
Skewness9.3525033
Sum547657
Variance27329597
MonotonicityNot monotonic
2023-12-12T23:30:04.249001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95 14
 
4.2%
99 5
 
1.5%
661 4
 
1.2%
660 4
 
1.2%
500 3
 
0.9%
521 3
 
0.9%
334 3
 
0.9%
491 3
 
0.9%
1179 2
 
0.6%
488 2
 
0.6%
Other values (267) 291
87.1%
ValueCountFrequency (%)
20 1
 
0.3%
60 1
 
0.3%
68 1
 
0.3%
71 1
 
0.3%
77 1
 
0.3%
80 1
 
0.3%
84 1
 
0.3%
89 1
 
0.3%
90 2
 
0.6%
95 14
4.2%
ValueCountFrequency (%)
66179 1
0.3%
45723 1
0.3%
45170 1
0.3%
13990 1
0.3%
11695 1
0.3%
9741 1
0.3%
9500 1
0.3%
9491 1
0.3%
8358 1
0.3%
7701 1
0.3%

용도지역
Categorical

Distinct31
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
자연녹지
80 
보전관리
64 
계획관리
39 
제2종일반주거
29 
농림
23 
Other values (26)
99 

Length

Max length11
Median length4
Mean length4.4520958
Min length2

Unique

Unique14 ?
Unique (%)4.2%

Sample

1st row일반공업
2nd row자연녹지
3rd row제2종일반주거
4th row자연녹지
5th row자연녹지

Common Values

ValueCountFrequency (%)
자연녹지 80
24.0%
보전관리 64
19.2%
계획관리 39
11.7%
제2종일반주거 29
 
8.7%
농림 23
 
6.9%
생산관리 20
 
6.0%
제1종일반주거 15
 
4.5%
일반공업 14
 
4.2%
생산녹지 7
 
2.1%
준공업 7
 
2.1%
Other values (21) 36
10.8%

Length

2023-12-12T23:30:04.419213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자연녹지 81
23.3%
보전관리 67
19.3%
계획관리 47
13.5%
제2종일반주거 29
 
8.3%
농림 24
 
6.9%
생산관리 23
 
6.6%
제1종일반주거 15
 
4.3%
일반공업 14
 
4.0%
생산녹지 7
 
2.0%
준공업 7
 
2.0%
Other values (17) 34
9.8%

허가구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
추진
210 
준공
119 
자진취소
 
2
취하
 
1
취소
 
1

Length

Max length4
Median length2
Mean length2.0179641
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row준공
2nd row준공
3rd row추진
4th row준공
5th row준공

Common Values

ValueCountFrequency (%)
추진 210
62.9%
준공 119
35.6%
자진취소 2
 
0.6%
취하 1
 
0.3%
취소 1
 
0.3%
<NA> 1
 
0.3%

Length

2023-12-12T23:30:04.570838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:30:04.699250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추진 210
62.9%
준공 119
35.6%
자진취소 2
 
0.6%
취하 1
 
0.3%
취소 1
 
0.3%
na 1
 
0.3%

허가일
Date

Distinct161
Distinct (%)48.3%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
Minimum2021-01-01 00:00:00
Maximum2022-06-07 00:00:00
2023-12-12T23:30:04.840880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:05.300097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개발행위목적
Text

Distinct105
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T23:30:05.549382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length12.568862
Min length5

Characters and Unicode

Total characters4198
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)21.6%

Sample

1st row발전시설(태양광)공작물 설치
2nd row제2종근린생활시설(제조업소, 사무소, 수리점) 부지조성
3rd row제2종근린생활시설(사무소) 부지조성
4th row우량농지(사토) 부지조성
5th row문중 자연장지 부지조성
ValueCountFrequency (%)
부지조성 251
32.5%
단독주택 99
 
12.8%
설치 33
 
4.3%
자연장지 24
 
3.1%
태양광 18
 
2.3%
공작물 18
 
2.3%
우량농지 16
 
2.1%
부지확장 15
 
1.9%
발전시설(태양광 15
 
1.9%
제2종근린생활시설(사무소 15
 
1.9%
Other values (114) 269
34.8%
2023-12-12T23:30:06.007332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
10.5%
지 358
 
8.5%
부 282
 
6.7%
조 274
 
6.5%
성 265
 
6.3%
설 140
 
3.3%
주 123
 
2.9%
( 122
 
2.9%
) 122
 
2.9%
택 116
 
2.8%
Other values (124) 1955
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3453
82.3%
Space Separator 441
 
10.5%
Open Punctuation 122
 
2.9%
Close Punctuation 122
 
2.9%
Decimal Number 48
 
1.1%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 358
 
10.4%
부 282
 
8.2%
조 274
 
7.9%
성 265
 
7.7%
설 140
 
4.1%
주 123
 
3.6%
택 116
 
3.4%
단 107
 
3.1%
독 107
 
3.1%
시 96
 
2.8%
Other values (117) 1585
45.9%
Decimal Number
ValueCountFrequency (%)
2 35
72.9%
1 13
 
27.1%
Space Separator
ValueCountFrequency (%)
441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3453
82.3%
Common 745
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 358
 
10.4%
부 282
 
8.2%
조 274
 
7.9%
성 265
 
7.7%
설 140
 
4.1%
주 123
 
3.6%
택 116
 
3.4%
단 107
 
3.1%
독 107
 
3.1%
시 96
 
2.8%
Other values (117) 1585
45.9%
Common
ValueCountFrequency (%)
441
59.2%
( 122
 
16.4%
) 122
 
16.4%
2 35
 
4.7%
1 13
 
1.7%
, 10
 
1.3%
- 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3453
82.3%
ASCII 745
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
59.2%
( 122
 
16.4%
) 122
 
16.4%
2 35
 
4.7%
1 13
 
1.7%
, 10
 
1.3%
- 2
 
0.3%
Hangul
ValueCountFrequency (%)
지 358
 
10.4%
부 282
 
8.2%
조 274
 
7.9%
성 265
 
7.7%
설 140
 
4.1%
주 123
 
3.6%
택 116
 
3.4%
단 107
 
3.1%
독 107
 
3.1%
시 96
 
2.8%
Other values (117) 1585
45.9%

비고
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
비도시
177 
도시
153 
도시
 
3
비도시
 
1

Length

Max length4
Median length3
Mean length2.5449102
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
비도시 177
53.0%
도시 153
45.8%
도시 3
 
0.9%
비도시 1
 
0.3%

Length

2023-12-12T23:30:06.180722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:30:06.317868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비도시 178
53.3%
도시 156
46.7%

Interactions

2023-12-12T23:30:01.648163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.460583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.738123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:01.555714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:30:06.411654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지목허가면적(제곱미터)용도지역허가구분비고
연번1.0000.5720.0000.7030.5280.737
지목0.5721.0000.9540.7670.8880.000
허가면적(제곱미터)0.0000.9541.0000.0000.0000.000
용도지역0.7030.7670.0001.0000.1930.740
허가구분0.5280.8880.0000.1931.0000.000
비고0.7370.0000.0000.7400.0001.000
2023-12-12T23:30:06.539374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고허가구분용도지역
비고1.0000.0000.465
허가구분0.0001.0000.087
용도지역0.4650.0871.000
2023-12-12T23:30:06.641773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가면적(제곱미터)용도지역허가구분비고
연번1.000-0.0550.3210.2440.539
허가면적(제곱미터)-0.0551.0000.0000.0000.000
용도지역0.3210.0001.0000.0870.465
허가구분0.2440.0000.0871.0000.000
비고0.5390.0000.4650.0001.000

Missing values

2023-12-12T23:30:01.893217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:30:02.062859image/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

연번대지위치지목허가면적(제곱미터)용도지역허가구분허가일개발행위목적비고
01전라남도 광양시 광양읍 익신리 739-4장455일반공업준공2021-06-07발전시설(태양광)공작물 설치도시
12전라남도 광양시 광양읍 덕례리 84-3, 84-4(85-2) 105답,전1419자연녹지준공2021-06-07제2종근린생활시설(제조업소, 사무소, 수리점) 부지조성도시
23전라남도 광양시 광양읍 우산리 산120-25, 산121임, 도500제2종일반주거추진2021-06-14제2종근린생활시설(사무소) 부지조성도시
34전라남도 광양시 중군동 182답2473자연녹지준공2021-06-14우량농지(사토) 부지조성도시
45전라남도 광양시 광양읍 구산리 산65-1임325자연녹지준공2021-06-15문중 자연장지 부지조성도시
56전라남도 광양시 광양읍 구산리 809-1대156제2종일반주거준공2021-06-21태양광 발전 공작물 설치도시
67전라남도 광양시 광양읍 덕례리 1776-5대134제1종일반주거준공2021-06-21태양광 발전 공작물 설치도시
78전라남도 광양시 옥곡면 신금리 1582-6공장2040준공업준공2021-07-14태양광 발전 공작물 설치도시
89전라남도 광양시 광양읍 덕례리 1777-2대80제1종일반주거준공2021-07-16태양광 발전 공작물 설치도시
910전라남도 광양시 중군동/전라남도 광양시 성황동 180-5, 180-2, 17-3, 17-7임1745자연녹지준공2021-07-19단독주택 부지조성도시
연번대지위치지목허가면적(제곱미터)용도지역허가구분허가일개발행위목적비고
324325전라남도 광양시 옥룡면 운곡리 산5-6임626보전관리추진2022-05-12문중 자연장지 부지조성비도시
325326전라남도 광양시 봉강면 신룡리 205-25잡195생산관리추진2022-05-16단독주택 부지조성비도시
326327전라남도 광양시 광양읍 죽림리 524-8답334계획관리추진2022-05-17제2종근린생활시설(사무소) 부지확장비도시
327328전라남도 광양시 옥룡면 죽천리 산65-5임650계획, 보전관리추진2022-05-20종중(문중)자연장지 부지조성비도시
328329전라남도 광양시 옥룡면 추산리 958-5, 958-8답797보전관리추진2022-05-23우량농지(매실) 부지조성비도시
329330전라남도 광양시 봉강면 봉당리 512, 1008-1답, 도515농림추진2022-05-27단독(농가)주택 부지조성비도시
330331전라남도 광양시 황금동 805전775자연녹지추진2022-05-02가족자연장지 조성공사비도시
331332전라남도 광양시 진월면 망덕리 271전536계획관리추진2022-05-09단독주택 부지조성비도시
332333전라남도 광양시 진상면 청암리 905-1답360농림추진2022-05-13농업용창고 부지조성비도시
333334전라남도 광양시 진상면 황죽리 660,656-2,656-4전,대1074보전관리추진2022-05-20단독주택 부지조성비도시