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 memory80.5 B

Variable types

Text2
Numeric3
Categorical4

Dataset

Description이 데이터는 2023년 8월 24일 기준으로 남원시 빈집에 대한 도로명/지번 주소, 연면적, 건축면적, 대지면적, 주택유형 등에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15036241/fileData.do

Alerts

담당기관 has constant value ""Constant
담당자 연락처 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
연면적 is highly overall correlated with 건축면적High correlation
건축면적 is highly overall correlated with 연면적High correlation
주택유형 is highly imbalanced (75.0%)Imbalance
소재지 도로명주소 has unique valuesUnique
소재지 지번주소 has unique valuesUnique
연면적 has unique valuesUnique
건축면적 has unique valuesUnique
대지면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:04:11.934204
Analysis finished2023-12-12 19:04:13.739980
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재지 도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:04:13.909393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.416667
Min length17

Characters and Unicode

Total characters490
Distinct characters69
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

Unique24 ?
Unique (%)100.0%

Sample

1st row전라북도 남원시 대강면 대강월산길 37-16
2nd row전라북도 남원시 옥샘길 42-7
3rd row전라북도 남원시 산동면 대상1길 42-36
4th row전라북도 남원시 산동면 중철길 22-5
5th row전라북도 남원시 샛터길 110-14
ValueCountFrequency (%)
전라북도 24
21.2%
남원시 24
21.2%
이백면 4
 
3.5%
아영면 4
 
3.5%
주생면 3
 
2.7%
산동면 2
 
1.8%
율정길 1
 
0.9%
19-29 1
 
0.9%
도산2길 1
 
0.9%
23-12 1
 
0.9%
Other values (48) 48
42.5%
2023-12-13T04:04:14.278773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
18.4%
도 26
 
5.3%
전 24
 
4.9%
북 24
 
4.9%
남 24
 
4.9%
원 24
 
4.9%
시 24
 
4.9%
라 24
 
4.9%
길 23
 
4.7%
1 21
 
4.3%
Other values (59) 186
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
61.0%
Space Separator 90
 
18.4%
Decimal Number 84
 
17.1%
Dash Punctuation 17
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 26
 
8.7%
전 24
 
8.0%
북 24
 
8.0%
남 24
 
8.0%
원 24
 
8.0%
시 24
 
8.0%
라 24
 
8.0%
길 23
 
7.7%
면 16
 
5.4%
산 8
 
2.7%
Other values (47) 82
27.4%
Decimal Number
ValueCountFrequency (%)
1 21
25.0%
2 18
21.4%
4 9
10.7%
6 8
 
9.5%
3 7
 
8.3%
0 5
 
6.0%
5 5
 
6.0%
8 4
 
4.8%
9 4
 
4.8%
7 3
 
3.6%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
61.0%
Common 191
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 26
 
8.7%
전 24
 
8.0%
북 24
 
8.0%
남 24
 
8.0%
원 24
 
8.0%
시 24
 
8.0%
라 24
 
8.0%
길 23
 
7.7%
면 16
 
5.4%
산 8
 
2.7%
Other values (47) 82
27.4%
Common
ValueCountFrequency (%)
90
47.1%
1 21
 
11.0%
2 18
 
9.4%
- 17
 
8.9%
4 9
 
4.7%
6 8
 
4.2%
3 7
 
3.7%
0 5
 
2.6%
5 5
 
2.6%
8 4
 
2.1%
Other values (2) 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
61.0%
ASCII 191
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
47.1%
1 21
 
11.0%
2 18
 
9.4%
- 17
 
8.9%
4 9
 
4.7%
6 8
 
4.2%
3 7
 
3.7%
0 5
 
2.6%
5 5
 
2.6%
8 4
 
2.1%
Other values (2) 7
 
3.7%
Hangul
ValueCountFrequency (%)
도 26
 
8.7%
전 24
 
8.0%
북 24
 
8.0%
남 24
 
8.0%
원 24
 
8.0%
시 24
 
8.0%
라 24
 
8.0%
길 23
 
7.7%
면 16
 
5.4%
산 8
 
2.7%
Other values (47) 82
27.4%

소재지 지번주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:04:14.506394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.083333
Min length16

Characters and Unicode

Total characters458
Distinct characters61
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

Unique24 ?
Unique (%)100.0%

Sample

1st row전라북도 남원시 대강면 월탄리 175-2
2nd row전라북도 남원시 동충동 12-11
3rd row전라북도 남원시 대상리 246-1
4th row전라북도 남원시 산동면 부절리 1101
5th row전라북도 남원시 신정동 335
ValueCountFrequency (%)
전라북도 24
21.8%
남원시 24
21.8%
이백면 4
 
3.6%
아영면 4
 
3.6%
동충동 2
 
1.8%
도산리 2
 
1.8%
조산동 2
 
1.8%
대산면 1
 
0.9%
231 1
 
0.9%
563 1
 
0.9%
Other values (45) 45
40.9%
2023-12-13T04:04:14.876680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
18.8%
도 26
 
5.7%
남 25
 
5.5%
전 24
 
5.2%
시 24
 
5.2%
1 24
 
5.2%
라 24
 
5.2%
원 24
 
5.2%
북 24
 
5.2%
리 17
 
3.7%
Other values (51) 160
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
61.6%
Space Separator 86
 
18.8%
Decimal Number 81
 
17.7%
Dash Punctuation 9
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 26
 
9.2%
남 25
 
8.9%
전 24
 
8.5%
시 24
 
8.5%
라 24
 
8.5%
원 24
 
8.5%
북 24
 
8.5%
리 17
 
6.0%
면 13
 
4.6%
동 10
 
3.5%
Other values (39) 71
25.2%
Decimal Number
ValueCountFrequency (%)
1 24
29.6%
2 12
14.8%
5 10
12.3%
6 8
 
9.9%
3 6
 
7.4%
0 5
 
6.2%
4 5
 
6.2%
7 4
 
4.9%
9 4
 
4.9%
8 3
 
3.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
61.6%
Common 176
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 26
 
9.2%
남 25
 
8.9%
전 24
 
8.5%
시 24
 
8.5%
라 24
 
8.5%
원 24
 
8.5%
북 24
 
8.5%
리 17
 
6.0%
면 13
 
4.6%
동 10
 
3.5%
Other values (39) 71
25.2%
Common
ValueCountFrequency (%)
86
48.9%
1 24
 
13.6%
2 12
 
6.8%
5 10
 
5.7%
- 9
 
5.1%
6 8
 
4.5%
3 6
 
3.4%
0 5
 
2.8%
4 5
 
2.8%
7 4
 
2.3%
Other values (2) 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
61.6%
ASCII 176
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
48.9%
1 24
 
13.6%
2 12
 
6.8%
5 10
 
5.7%
- 9
 
5.1%
6 8
 
4.5%
3 6
 
3.4%
0 5
 
2.8%
4 5
 
2.8%
7 4
 
2.3%
Other values (2) 7
 
4.0%
Hangul
ValueCountFrequency (%)
도 26
 
9.2%
남 25
 
8.9%
전 24
 
8.5%
시 24
 
8.5%
라 24
 
8.5%
원 24
 
8.5%
북 24
 
8.5%
리 17
 
6.0%
면 13
 
4.6%
동 10
 
3.5%
Other values (39) 71
25.2%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.875417
Minimum25
Maximum108.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:04:14.994724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile28.9925
Q142.075
median48.775
Q380.4975
95-th percentile104.745
Maximum108.1
Range83.1
Interquartile range (IQR)38.4225

Descriptive statistics

Standard deviation24.629391
Coefficient of variation (CV)0.40458682
Kurtosis-0.7847805
Mean60.875417
Median Absolute Deviation (MAD)12.125
Skewness0.59116705
Sum1461.01
Variance606.60692
MonotonicityNot monotonic
2023-12-13T04:04:15.093885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46.99 1
 
4.2%
39.66 1
 
4.2%
42.1 1
 
4.2%
27.11 1
 
4.2%
105.0 1
 
4.2%
45.6 1
 
4.2%
85.7 1
 
4.2%
80.33 1
 
4.2%
68.33 1
 
4.2%
81.0 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
25.0 1
4.2%
27.11 1
4.2%
39.66 1
4.2%
41.26 1
4.2%
41.62 1
4.2%
42.0 1
4.2%
42.1 1
4.2%
45.5 1
4.2%
45.6 1
4.2%
46.99 1
4.2%
ValueCountFrequency (%)
108.1 1
4.2%
105.0 1
4.2%
103.3 1
4.2%
88.6 1
4.2%
85.7 1
4.2%
81.0 1
4.2%
80.33 1
4.2%
77.0 1
4.2%
68.33 1
4.2%
63.5 1
4.2%

건축면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.237917
Minimum25
Maximum108.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:04:15.197694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile28.9925
Q144.65
median60.01
Q381.765
95-th percentile104.745
Maximum108.1
Range83.1
Interquartile range (IQR)37.115

Descriptive statistics

Standard deviation24.499777
Coefficient of variation (CV)0.38742227
Kurtosis-0.94517501
Mean63.237917
Median Absolute Deviation (MAD)18.38
Skewness0.35500237
Sum1517.71
Variance600.2391
MonotonicityNot monotonic
2023-12-13T04:04:15.303256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46.99 1
 
4.2%
39.66 1
 
4.2%
42.1 1
 
4.2%
27.11 1
 
4.2%
105.0 1
 
4.2%
45.6 1
 
4.2%
85.7 1
 
4.2%
80.33 1
 
4.2%
68.33 1
 
4.2%
81.0 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
25.0 1
4.2%
27.11 1
4.2%
39.66 1
4.2%
41.26 1
4.2%
42.0 1
4.2%
42.1 1
4.2%
45.5 1
4.2%
45.6 1
4.2%
46.99 1
4.2%
48.25 1
4.2%
ValueCountFrequency (%)
108.1 1
4.2%
105.0 1
4.2%
103.3 1
4.2%
88.6 1
4.2%
85.7 1
4.2%
84.06 1
4.2%
81.0 1
4.2%
80.33 1
4.2%
77.0 1
4.2%
68.33 1
4.2%

대지면적
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.70833
Minimum140
Maximum1244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:04:15.420689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile143.7
Q1237.25
median310.5
Q3422.75
95-th percentile731.15
Maximum1244
Range1104
Interquartile range (IQR)185.5

Descriptive statistics

Standard deviation235.7459
Coefficient of variation (CV)0.64287031
Kurtosis8.054809
Mean366.70833
Median Absolute Deviation (MAD)103
Skewness2.5076488
Sum8801
Variance55576.129
MonotonicityNot monotonic
2023-12-13T04:04:15.568790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
159 1
 
4.2%
397 1
 
4.2%
440 1
 
4.2%
140 1
 
4.2%
251 1
 
4.2%
242 1
 
4.2%
545 1
 
4.2%
277 1
 
4.2%
241 1
 
4.2%
1244 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
140 1
4.2%
141 1
4.2%
159 1
4.2%
192 1
4.2%
198 1
4.2%
226 1
4.2%
241 1
4.2%
242 1
4.2%
251 1
4.2%
264 1
4.2%
ValueCountFrequency (%)
1244 1
4.2%
764 1
4.2%
545 1
4.2%
456 1
4.2%
443 1
4.2%
440 1
4.2%
417 1
4.2%
410 1
4.2%
397 1
4.2%
383 1
4.2%

주택유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
단독주택(다가구)
23 
주택
 
1

Length

Max length9
Median length9
Mean length8.7083333
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row단독주택(다가구)
2nd row단독주택(다가구)
3rd row단독주택(다가구)
4th row단독주택(다가구)
5th row단독주택(다가구)

Common Values

ValueCountFrequency (%)
단독주택(다가구) 23
95.8%
주택 1
 
4.2%

Length

2023-12-13T04:04:15.710547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:15.808049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택(다가구 23
95.8%
주택 1
 
4.2%

담당기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
남원시청 건축과
24 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남원시청 건축과
2nd row남원시청 건축과
3rd row남원시청 건축과
4th row남원시청 건축과
5th row남원시청 건축과

Common Values

ValueCountFrequency (%)
남원시청 건축과 24
100.0%

Length

2023-12-13T04:04:15.911080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:16.018238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남원시청 24
50.0%
건축과 24
50.0%

담당자 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
063-620-6594
24 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row063-620-6594
2nd row063-620-6594
3rd row063-620-6594
4th row063-620-6594
5th row063-620-6594

Common Values

ValueCountFrequency (%)
063-620-6594 24
100.0%

Length

2023-12-13T04:04:16.116371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:16.213603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
063-620-6594 24
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-08-24
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-24
2nd row2023-08-24
3rd row2023-08-24
4th row2023-08-24
5th row2023-08-24

Common Values

ValueCountFrequency (%)
2023-08-24 24
100.0%

Length

2023-12-13T04:04:16.311478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:16.402965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-24 24
100.0%

Interactions

2023-12-13T04:04:13.135729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:12.606844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:12.877640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:13.236824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:12.692664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:12.953473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:13.322008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:12.791622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:13.044371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:04:16.471822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지 도로명주소소재지 지번주소연면적건축면적대지면적주택유형
소재지 도로명주소1.0001.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.0001.000
연면적1.0001.0001.0000.9970.0000.000
건축면적1.0001.0000.9971.0000.3470.178
대지면적1.0001.0000.0000.3471.0000.000
주택유형1.0001.0000.0000.1780.0001.000
2023-12-13T04:04:16.578850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적건축면적대지면적주택유형
연면적1.0000.9350.3030.000
건축면적0.9351.0000.4520.000
대지면적0.3030.4521.0000.000
주택유형0.0000.0000.0001.000

Missing values

2023-12-13T04:04:13.454190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:04:13.655977image/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

소재지 도로명주소소재지 지번주소연면적건축면적대지면적주택유형담당기관담당자 연락처데이터 기준일자
0전라북도 남원시 대강면 대강월산길 37-16전라북도 남원시 대강면 월탄리 175-246.9946.99159단독주택(다가구)남원시청 건축과063-620-65942023-08-24
1전라북도 남원시 옥샘길 42-7전라북도 남원시 동충동 12-11108.1108.1264단독주택(다가구)남원시청 건축과063-620-65942023-08-24
2전라북도 남원시 산동면 대상1길 42-36전라북도 남원시 대상리 246-188.688.6410단독주택(다가구)남원시청 건축과063-620-65942023-08-24
3전라북도 남원시 산동면 중철길 22-5전라북도 남원시 산동면 부절리 110149.349.3226단독주택(다가구)남원시청 건축과063-620-65942023-08-24
4전라북도 남원시 샛터길 110-14전라북도 남원시 신정동 33542.042.0314단독주택(다가구)남원시청 건축과063-620-65942023-08-24
5전라북도 남원시 아영면 오산길 10-13전라북도 남원시 아영면 월산리 615-1163.563.5307단독주택(다가구)남원시청 건축과063-620-65942023-08-24
6전라북도 남원시 아영면 율동2길 29전라북도 남원시 아영면 의지리 14145.545.5198단독주택(다가구)남원시청 건축과063-620-65942023-08-24
7전라북도 남원시 함파우길 75-8전라북도 남원시 어현동 29348.2548.25192단독주택(다가구)남원시청 건축과063-620-65942023-08-24
8전라북도 남원시 이백면 닭뫼길 53전라북도 남원시 이백면 남계리 92541.2641.26350단독주택(다가구)남원시청 건축과063-620-65942023-08-24
9전라북도 남원시 주생면 상도길 146전라북도 남원시 도산리 74641.6261.72443주택남원시청 건축과063-620-65942023-08-24
소재지 도로명주소소재지 지번주소연면적건축면적대지면적주택유형담당기관담당자 연락처데이터 기준일자
14전라북도 남원시 주생면 도산2길 23-12전라북도 남원시 도산리 56358.358.3417단독주택(다가구)남원시청 건축과063-620-65942023-08-24
15전라북도 남원시 주생면 소지길 112-21전라북도 남원시 주생면 지당리 44377.077.0383단독주택(다가구)남원시청 건축과063-620-65942023-08-24
16전라북도 남원시 주천면 외평1길 34-5전라북도 남원시 주천면 장안리 66-181.081.01244단독주택(다가구)남원시청 건축과063-620-65942023-08-24
17전라북도 남원시 대사면 율정길 60전라북도 남원시 대산면 옥율리 7068.3368.33241단독주택(다가구)남원시청 건축과063-620-65942023-08-24
18전라북도 남원시 마방길 26-12전라북도 남원시 동충동 12880.3380.33277단독주택(다가구)남원시청 건축과063-620-65942023-08-24
19전라북도 남원시 아영면 당동길 22전라북도 남원시 아영면 아곡리 219-185.785.7545단독주택(다가구)남원시청 건축과063-620-65942023-08-24
20전라북도 남원시 화산당앞길 19-4전라북도 남원시 화정동 100-145.645.6242단독주택(다가구)남원시청 건축과063-620-65942023-08-24
21전라북도 남원시 아영면 봉대아랫길 18-1전라북도 남원시 아영면 봉대리 568105.0105.0251단독주택(다가구)남원시청 건축과063-620-65942023-08-24
22전라북도 남원시 이백면 초동길 21-26전라북도 남원시 이백면 초촌리 525-127.1127.11140단독주택(다가구)남원시청 건축과063-620-65942023-08-24
23전라북도 남원시 운봉읍 소석길 64전라북도 남원시 운봉읍 화수리 55642.142.1440단독주택(다가구)남원시청 건축과063-620-65942023-08-24