Overview

Dataset statistics

Number of variables8
Number of observations419
Missing cells45
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.1 KiB
Average record size in memory66.3 B

Variable types

Numeric2
Text3
DateTime2
Categorical1

Dataset

Description광주광역시 북구 공동주택현황으로 아파트명, 주소, 세대수, 승인일자, 사용검사일, 관리사무소 전화의 항목을 공공데이터 포털을 통해 제공합니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15040924/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리사무소전화 has 45 (10.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:03:22.435816
Analysis finished2023-12-12 21:03:23.463245
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210
Minimum1
Maximum419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T06:03:23.564416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.9
Q1105.5
median210
Q3314.5
95-th percentile398.1
Maximum419
Range418
Interquartile range (IQR)209

Descriptive statistics

Standard deviation121.09913
Coefficient of variation (CV)0.57666254
Kurtosis-1.2
Mean210
Median Absolute Deviation (MAD)105
Skewness0
Sum87990
Variance14665
MonotonicityStrictly increasing
2023-12-13T06:03:23.724617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
264 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
Other values (409) 409
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
419 1
0.2%
418 1
0.2%
417 1
0.2%
416 1
0.2%
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%

아파트명
Text

Distinct379
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T06:03:24.015275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.0334129
Min length2

Characters and Unicode

Total characters2947
Distinct characters270
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)84.5%

Sample

1st row제일맨션
2nd row송광아파트
3rd row오치아파트
4th row양서아파트
5th row양지아파트
ValueCountFrequency (%)
2차 17
 
3.2%
1차 12
 
2.3%
현대아파트 8
 
1.5%
우미아파트 7
 
1.3%
3차 6
 
1.1%
일신아파트 5
 
0.9%
삼익아파트 5
 
0.9%
호반아파트 5
 
0.9%
용봉동 5
 
0.9%
금호아파트 4
 
0.8%
Other values (371) 453
86.0%
2023-12-13T06:03:24.519163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 243
 
8.2%
파 223
 
7.6%
트 214
 
7.3%
110
 
3.7%
차 76
 
2.6%
동 71
 
2.4%
1 56
 
1.9%
2 53
 
1.8%
대 49
 
1.7%
주 44
 
1.5%
Other values (260) 1808
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2617
88.8%
Decimal Number 159
 
5.4%
Space Separator 110
 
3.7%
Uppercase Letter 19
 
0.6%
Open Punctuation 18
 
0.6%
Close Punctuation 18
 
0.6%
Lowercase Letter 2
 
0.1%
Other Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 243
 
9.3%
파 223
 
8.5%
트 214
 
8.2%
차 76
 
2.9%
동 71
 
2.7%
대 49
 
1.9%
주 44
 
1.7%
스 41
 
1.6%
이 38
 
1.5%
빌 38
 
1.5%
Other values (233) 1580
60.4%
Decimal Number
ValueCountFrequency (%)
1 56
35.2%
2 53
33.3%
3 22
 
13.8%
0 7
 
4.4%
4 5
 
3.1%
5 5
 
3.1%
7 4
 
2.5%
6 3
 
1.9%
9 2
 
1.3%
8 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
S 8
42.1%
G 4
21.1%
A 2
 
10.5%
B 1
 
5.3%
K 1
 
5.3%
R 1
 
5.3%
P 1
 
5.3%
I 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2617
88.8%
Common 308
 
10.5%
Latin 22
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 243
 
9.3%
파 223
 
8.5%
트 214
 
8.2%
차 76
 
2.9%
동 71
 
2.7%
대 49
 
1.9%
주 44
 
1.7%
스 41
 
1.6%
이 38
 
1.5%
빌 38
 
1.5%
Other values (233) 1580
60.4%
Common
ValueCountFrequency (%)
110
35.7%
1 56
18.2%
2 53
17.2%
3 22
 
7.1%
( 18
 
5.8%
) 18
 
5.8%
0 7
 
2.3%
4 5
 
1.6%
5 5
 
1.6%
7 4
 
1.3%
Other values (6) 10
 
3.2%
Latin
ValueCountFrequency (%)
S 8
36.4%
G 4
18.2%
A 2
 
9.1%
Ⅱ 1
 
4.5%
n 1
 
4.5%
i 1
 
4.5%
B 1
 
4.5%
K 1
 
4.5%
R 1
 
4.5%
P 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2617
88.8%
ASCII 328
 
11.1%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 243
 
9.3%
파 223
 
8.5%
트 214
 
8.2%
차 76
 
2.9%
동 71
 
2.7%
대 49
 
1.9%
주 44
 
1.7%
스 41
 
1.6%
이 38
 
1.5%
빌 38
 
1.5%
Other values (233) 1580
60.4%
ASCII
ValueCountFrequency (%)
110
33.5%
1 56
17.1%
2 53
16.2%
3 22
 
6.7%
( 18
 
5.5%
) 18
 
5.5%
S 8
 
2.4%
0 7
 
2.1%
4 5
 
1.5%
5 5
 
1.5%
Other values (15) 26
 
7.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

Distinct418
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-13T06:03:24.906903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length30.281623
Min length14

Characters and Unicode

Total characters12688
Distinct characters281
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)99.5%

Sample

1st row광주광역시 북구 경양로 175 (중흥동 제일맨션)
2nd row광주광역시 북구 풍동길 33 (풍향동 송광아파트)
3rd row광주광역시 북구 우치로274번길 3 (오치동 오치아파트)
4th row광주광역시 북구 서방로 123 (두암동 양서아파트)
5th row광주광역시 북구 우치로241번길 34 (오치동 양지아파트)
ValueCountFrequency (%)
광주광역시 419
 
17.3%
북구 418
 
17.2%
두암동 40
 
1.6%
용봉동 37
 
1.5%
운암동 35
 
1.4%
문흥동 27
 
1.1%
오치동 26
 
1.1%
일곡동 20
 
0.8%
양산동 18
 
0.7%
매곡동 16
 
0.7%
Other values (793) 1370
56.5%
2023-12-13T06:03:25.474246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2009
 
15.8%
광 866
 
6.8%
동 473
 
3.7%
주 462
 
3.6%
북 437
 
3.4%
시 429
 
3.4%
로 422
 
3.3%
구 421
 
3.3%
역 420
 
3.3%
( 400
 
3.2%
Other values (271) 6349
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8298
65.4%
Space Separator 2009
 
15.8%
Decimal Number 1515
 
11.9%
Open Punctuation 400
 
3.2%
Close Punctuation 399
 
3.1%
Dash Punctuation 56
 
0.4%
Uppercase Letter 7
 
0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 866
 
10.4%
동 473
 
5.7%
주 462
 
5.6%
북 437
 
5.3%
시 429
 
5.2%
로 422
 
5.1%
구 421
 
5.1%
역 420
 
5.1%
아 245
 
3.0%
파 227
 
2.7%
Other values (248) 3896
47.0%
Decimal Number
ValueCountFrequency (%)
1 335
22.1%
2 216
14.3%
3 183
12.1%
5 153
10.1%
4 132
 
8.7%
6 121
 
8.0%
0 117
 
7.7%
7 114
 
7.5%
9 79
 
5.2%
8 65
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
G 1
 
14.3%
P 1
 
14.3%
T 1
 
14.3%
A 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
2009
100.0%
Open Punctuation
ValueCountFrequency (%)
( 400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8298
65.4%
Common 4380
34.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 866
 
10.4%
동 473
 
5.7%
주 462
 
5.6%
북 437
 
5.3%
시 429
 
5.2%
로 422
 
5.1%
구 421
 
5.1%
역 420
 
5.1%
아 245
 
3.0%
파 227
 
2.7%
Other values (248) 3896
47.0%
Common
ValueCountFrequency (%)
2009
45.9%
( 400
 
9.1%
) 399
 
9.1%
1 335
 
7.6%
2 216
 
4.9%
3 183
 
4.2%
5 153
 
3.5%
4 132
 
3.0%
6 121
 
2.8%
0 117
 
2.7%
Other values (5) 315
 
7.2%
Latin
ValueCountFrequency (%)
S 3
30.0%
Ⅱ 1
 
10.0%
n 1
 
10.0%
i 1
 
10.0%
G 1
 
10.0%
P 1
 
10.0%
T 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8298
65.4%
ASCII 4389
34.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2009
45.8%
( 400
 
9.1%
) 399
 
9.1%
1 335
 
7.6%
2 216
 
4.9%
3 183
 
4.2%
5 153
 
3.5%
4 132
 
3.0%
6 121
 
2.8%
0 117
 
2.7%
Other values (12) 324
 
7.4%
Hangul
ValueCountFrequency (%)
광 866
 
10.4%
동 473
 
5.7%
주 462
 
5.6%
북 437
 
5.3%
시 429
 
5.2%
로 422
 
5.1%
구 421
 
5.1%
역 420
 
5.1%
아 245
 
3.0%
파 227
 
2.7%
Other values (248) 3896
47.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

세대수
Real number (ℝ)

Distinct277
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328.30072
Minimum20
Maximum1795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T06:03:25.662683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q166.5
median213
Q3480
95-th percentile976.2
Maximum1795
Range1775
Interquartile range (IQR)413.5

Descriptive statistics

Standard deviation335.84431
Coefficient of variation (CV)1.0229777
Kurtosis3.1891164
Mean328.30072
Median Absolute Deviation (MAD)173
Skewness1.6701623
Sum137558
Variance112791.4
MonotonicityNot monotonic
2023-12-13T06:03:25.832514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 11
 
2.6%
50 9
 
2.1%
24 7
 
1.7%
40 6
 
1.4%
23 6
 
1.4%
96 5
 
1.2%
90 5
 
1.2%
65 5
 
1.2%
42 5
 
1.2%
48 5
 
1.2%
Other values (267) 355
84.7%
ValueCountFrequency (%)
20 4
 
1.0%
21 4
 
1.0%
22 1
 
0.2%
23 6
1.4%
24 7
1.7%
25 2
 
0.5%
26 3
 
0.7%
27 3
 
0.7%
28 11
2.6%
29 4
 
1.0%
ValueCountFrequency (%)
1795 1
0.2%
1772 1
0.2%
1658 1
0.2%
1640 1
0.2%
1521 1
0.2%
1514 1
0.2%
1490 1
0.2%
1415 1
0.2%
1295 1
0.2%
1274 1
0.2%

승인일자
Date

Distinct362
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1976-03-12 00:00:00
Maximum2021-10-21 00:00:00
2023-12-13T06:03:25.967655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:26.137207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용검사일
Date

Distinct380
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1976-12-07 00:00:00
Maximum2023-08-01 00:00:00
2023-12-13T06:03:26.300933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:26.496172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리사무소전화
Text

MISSING 

Distinct314
Distinct (%)84.0%
Missing45
Missing (%)10.7%
Memory size3.4 KiB
2023-12-13T06:03:26.824444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4488
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

Unique254 ?
Unique (%)67.9%

Sample

1st row062-514-9215
2nd row062-264-6470
3rd row062-261-1370
4th row062-261-8483
5th row062-261-1732
ValueCountFrequency (%)
062-511-8773 2
 
0.5%
062-266-2904 2
 
0.5%
062-265-5272 2
 
0.5%
062-571-3012 2
 
0.5%
062-526-0265 2
 
0.5%
062-267-6367 2
 
0.5%
062-572-3363 2
 
0.5%
062-529-7151 2
 
0.5%
062-572-2537 2
 
0.5%
062-572-5854 2
 
0.5%
Other values (304) 354
94.7%
2023-12-13T06:03:27.278609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 755
16.8%
- 748
16.7%
6 668
14.9%
0 605
13.5%
5 445
9.9%
1 310
6.9%
7 266
 
5.9%
3 222
 
4.9%
4 177
 
3.9%
8 154
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3740
83.3%
Dash Punctuation 748
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 755
20.2%
6 668
17.9%
0 605
16.2%
5 445
11.9%
1 310
8.3%
7 266
 
7.1%
3 222
 
5.9%
4 177
 
4.7%
8 154
 
4.1%
9 138
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 748
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 755
16.8%
- 748
16.7%
6 668
14.9%
0 605
13.5%
5 445
9.9%
1 310
6.9%
7 266
 
5.9%
3 222
 
4.9%
4 177
 
3.9%
8 154
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 755
16.8%
- 748
16.7%
6 668
14.9%
0 605
13.5%
5 445
9.9%
1 310
6.9%
7 266
 
5.9%
3 222
 
4.9%
4 177
 
3.9%
8 154
 
3.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-11-14
419 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-14
2nd row2023-11-14
3rd row2023-11-14
4th row2023-11-14
5th row2023-11-14

Common Values

ValueCountFrequency (%)
2023-11-14 419
100.0%

Length

2023-12-13T06:03:27.432326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:03:27.545689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-14 419
100.0%

Interactions

2023-12-13T06:03:23.040525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:22.872663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:23.136387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:22.947729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:03:27.615960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세대수
연번1.0000.544
세대수0.5441.000
2023-12-13T06:03:27.722850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세대수
연번1.0000.097
세대수0.0971.000

Missing values

2023-12-13T06:03:23.283661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:03:23.411801image/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

연번아파트명주소세대수승인일자사용검사일관리사무소전화데이터기준일자
01제일맨션광주광역시 북구 경양로 175 (중흥동 제일맨션)201976-03-121976-12-07062-514-92152023-11-14
12송광아파트광주광역시 북구 풍동길 33 (풍향동 송광아파트)451978-06-041978-12-23062-264-64702023-11-14
23오치아파트광주광역시 북구 우치로274번길 3 (오치동 오치아파트)501977-06-011978-01-03062-261-13702023-11-14
34양서아파트광주광역시 북구 서방로 123 (두암동 양서아파트)601978-12-221979-04-24062-261-84832023-11-14
45양지아파트광주광역시 북구 우치로241번길 34 (오치동 양지아파트)801978-08-241979-10-23062-261-17322023-11-14
56두암아파트광주광역시 북구 군왕로117번길 30 (두암동 두암아파트)801978-05-231979-04-06062-512-94842023-11-14
67아람맨션광주광역시 북구 우치로64번길 46 (중흥동 아람맨션)401979-05-251980-02-07062-266-87662023-11-14
78삼익아파트광주광역시 북구 자미로 45 (신안동 삼익아파트)2101979-09-121980-12-16062-512-50932023-11-14
89무지개아파트광주광역시 북구 북문대로33번길 12-5 (운암동 무지개아파트)241980-10-081981-07-24062-522-28282023-11-14
910금곡아파트광주광역시 북구 호동로43번길 55 (용봉동 금곡아파트)301979-09-251981-04-02062-265-35052023-11-14
연번아파트명주소세대수승인일자사용검사일관리사무소전화데이터기준일자
409410중외공원 모아미래도광주광역시 북구 서강로 171(운암동 중외공원 모아미래도)5082019-03-202022-04-29062-529-99672023-11-14
410411제일풍경채센트럴파크1단지광주광역시 북구 우치로40번길 25(중흥동 제일풍경채 센트럴파크 1단지)10702017-03-312022-08-10062-529-09742023-11-14
411412제일풍경채센트럴파크2단지광주광역시 북구 서양로 125(중흥동 제일풍경채 센트럴파크 2단지)4862017-03-312022-08-10062-529-09752023-11-14
412413용봉아이윌5차광주광역시 북구 반룡로5번길 45(용봉동 용봉아이윌5차)472021-10-212022-08-26<NA>2023-11-14
413414광신프로그레스아파트광주광역시 북구 대천로21번길5(오치동 광신프로그레스아파트)1602020-01-072023-05-26062-251-15112023-11-14
414415무등산한국아델리움어반센트럴광주광역시 북구 동문대로266번길 27(각화동 무등산한국아델리움어반센트럴)1272019-10-182023-05-26<NA>2023-11-14
415416한국아델리움57 에듀힐즈광주광역시 북구 서암대로 53(운암동 한국아델리움57)862020-10-162023-06-30<NA>2023-11-14
416417각화센트럴파크3차광주광역시 북구 동문대로249번길 73332019-01-212023-07-21<NA>2023-11-14
417418우방아이유쉘2차광주광역시 북구 유림로160번길 17-32002019-12-092023-07-21<NA>2023-11-14
418419더샾광주포레스트광주광역시 북구 동문대로249번길 12(각화동 더샵 광주 포레스트)9072019-07-022023-08-01062-267-77782023-11-14