Overview

Dataset statistics

Number of variables10
Number of observations166
Missing cells9
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory84.8 B

Variable types

Numeric4
Categorical4
Text1
DateTime1

Dataset

Description대구광역시 중구 소유 공유재산(일반재산) 토지 현황(순번,용도지역,구분,소재지,면적,실면적,공시지가,재산관리관,관리관전화번호,데이터기준일) 정보르 제공합니다.
Author대구광역시 중구
URLhttps://www.data.go.kr/data/3072634/fileData.do

Alerts

재산관리관 has constant value ""Constant
관리관전화번호 has constant value ""Constant
데이터기준일 has constant value ""Constant
면적 is highly overall correlated with 실면적High correlation
실면적 is highly overall correlated with 면적High correlation
용도지역 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 용도지역High correlation
구분 is highly imbalanced (87.0%)Imbalance
공시지가 has 9 (5.4%) missing valuesMissing
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:43:40.194885
Analysis finished2023-12-12 07:43:42.794004
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.5
Minimum1
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T16:43:42.879676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.25
Q142.25
median83.5
Q3124.75
95-th percentile157.75
Maximum166
Range165
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation48.064193
Coefficient of variation (CV)0.57561908
Kurtosis-1.2
Mean83.5
Median Absolute Deviation (MAD)41.5
Skewness0
Sum13861
Variance2310.1667
MonotonicityStrictly increasing
2023-12-12T16:43:43.059833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (156) 156
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%

용도지역
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
제3종일반주거지역
59 
제2종일반주거지역
30 
중심상업지역
28 
근린상업지역
18 
준주거지역
16 
Other values (7)
15 

Length

Max length28
Median length9
Mean length8.4096386
Min length4

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row제2종일반주거지역
4th row제2종일반주거지역
5th row제3종일반주거지역

Common Values

ValueCountFrequency (%)
제3종일반주거지역 59
35.5%
제2종일반주거지역 30
18.1%
중심상업지역 28
16.9%
근린상업지역 18
 
10.8%
준주거지역 16
 
9.6%
제1종일반주거지역 4
 
2.4%
제3종일반주거지역, 제1종지구단위계획구역, 정비구역 4
 
2.4%
중심상업지역 2
 
1.2%
준주거지역, 지구단위계획구역, 정비구역 2
 
1.2%
중심상업 1
 
0.6%
Other values (2) 2
 
1.2%

Length

2023-12-12T16:43:43.218032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제3종일반주거지역 64
35.6%
중심상업지역 31
17.2%
제2종일반주거지역 30
16.7%
근린상업지역 19
 
10.6%
준주거지역 18
 
10.0%
정비구역 6
 
3.3%
제1종일반주거지역 4
 
2.2%
제1종지구단위계획구역 4
 
2.2%
지구단위계획구역 2
 
1.1%
중심상업 1
 
0.6%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대지
163 
도로
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대지 163
98.2%
도로 3
 
1.8%

Length

2023-12-12T16:43:43.357060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:43.473623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대지 163
98.2%
도로 3
 
1.8%

소재지
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:43:43.904546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.006024
Min length16

Characters and Unicode

Total characters3321
Distinct characters41
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

Unique166 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 동인동3가 271-66
2nd row대구광역시 중구 동인동3가 271-217
3rd row대구광역시 중구 동인동3가 315-3
4th row대구광역시 중구 동인동3가 318-1
5th row대구광역시 중구 동인동4가 228-10
ValueCountFrequency (%)
대구광역시 166
25.0%
중구 166
25.0%
남산동 59
 
8.9%
대신동 22
 
3.3%
대봉동 22
 
3.3%
동인동4가 11
 
1.7%
봉산동 10
 
1.5%
달성동 9
 
1.4%
삼덕동3가 7
 
1.1%
동산동 5
 
0.8%
Other values (177) 187
28.2%
2023-12-12T16:43:44.488747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
20.0%
구 332
 
10.0%
대 213
 
6.4%
동 179
 
5.4%
시 167
 
5.0%
광 166
 
5.0%
역 166
 
5.0%
중 166
 
5.0%
- 161
 
4.8%
2 143
 
4.3%
Other values (31) 964
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1691
50.9%
Decimal Number 805
24.2%
Space Separator 664
 
20.0%
Dash Punctuation 161
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 332
19.6%
대 213
12.6%
동 179
10.6%
시 167
9.9%
광 166
9.8%
역 166
9.8%
중 166
9.8%
산 75
 
4.4%
남 59
 
3.5%
가 32
 
1.9%
Other values (19) 136
8.0%
Decimal Number
ValueCountFrequency (%)
2 143
17.8%
1 113
14.0%
3 103
12.8%
4 86
10.7%
7 74
9.2%
6 62
7.7%
0 62
7.7%
9 58
7.2%
5 56
 
7.0%
8 48
 
6.0%
Space Separator
ValueCountFrequency (%)
664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1691
50.9%
Common 1630
49.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 332
19.6%
대 213
12.6%
동 179
10.6%
시 167
9.9%
광 166
9.8%
역 166
9.8%
중 166
9.8%
산 75
 
4.4%
남 59
 
3.5%
가 32
 
1.9%
Other values (19) 136
8.0%
Common
ValueCountFrequency (%)
664
40.7%
- 161
 
9.9%
2 143
 
8.8%
1 113
 
6.9%
3 103
 
6.3%
4 86
 
5.3%
7 74
 
4.5%
6 62
 
3.8%
0 62
 
3.8%
9 58
 
3.6%
Other values (2) 104
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1691
50.9%
ASCII 1630
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
40.7%
- 161
 
9.9%
2 143
 
8.8%
1 113
 
6.9%
3 103
 
6.3%
4 86
 
5.3%
7 74
 
4.5%
6 62
 
3.8%
0 62
 
3.8%
9 58
 
3.6%
Other values (2) 104
 
6.4%
Hangul
ValueCountFrequency (%)
구 332
19.6%
대 213
12.6%
동 179
10.6%
시 167
9.9%
광 166
9.8%
역 166
9.8%
중 166
9.8%
산 75
 
4.4%
남 59
 
3.5%
가 32
 
1.9%
Other values (19) 136
8.0%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.966867
Minimum0.2
Maximum505.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T16:43:44.610376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1
Q13.3
median9
Q319.95
95-th percentile63.75
Maximum505.2
Range505
Interquartile range (IQR)16.65

Descriptive statistics

Standard deviation51.541167
Coefficient of variation (CV)2.4582197
Kurtosis57.818749
Mean20.966867
Median Absolute Deviation (MAD)7
Skewness7.0492483
Sum3480.5
Variance2656.4919
MonotonicityNot monotonic
2023-12-12T16:43:44.722507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 15
 
9.0%
9.0 7
 
4.2%
3.0 5
 
3.0%
5.0 5
 
3.0%
2.0 5
 
3.0%
21.0 4
 
2.4%
13.0 4
 
2.4%
4.0 4
 
2.4%
8.0 4
 
2.4%
17.0 3
 
1.8%
Other values (81) 110
66.3%
ValueCountFrequency (%)
0.2 2
 
1.2%
0.4 1
 
0.6%
0.6 1
 
0.6%
0.9 2
 
1.2%
1.0 15
9.0%
1.3 1
 
0.6%
1.4 1
 
0.6%
1.6 1
 
0.6%
1.7 1
 
0.6%
2.0 5
 
3.0%
ValueCountFrequency (%)
505.2 1
0.6%
355.8 1
0.6%
170.0 1
0.6%
119.0 1
0.6%
116.0 1
0.6%
107.0 2
1.2%
73.0 1
0.6%
69.0 1
0.6%
48.0 1
0.6%
47.0 1
0.6%

실면적
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.611807
Minimum0.2
Maximum505.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T16:43:44.832407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1
Q13.3
median9
Q319.7
95-th percentile63.75
Maximum505.2
Range505
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation51.169331
Coefficient of variation (CV)2.4825252
Kurtosis59.743735
Mean20.611807
Median Absolute Deviation (MAD)6.95
Skewness7.1922251
Sum3421.56
Variance2618.3005
MonotonicityNot monotonic
2023-12-12T16:43:44.942642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 15
 
9.0%
9.0 7
 
4.2%
2.0 5
 
3.0%
3.0 5
 
3.0%
5.0 5
 
3.0%
13.0 4
 
2.4%
21.0 4
 
2.4%
12.0 4
 
2.4%
8.0 4
 
2.4%
4.0 4
 
2.4%
Other values (80) 109
65.7%
ValueCountFrequency (%)
0.2 2
 
1.2%
0.4 1
 
0.6%
0.6 1
 
0.6%
0.9 2
 
1.2%
1.0 15
9.0%
1.3 1
 
0.6%
1.4 1
 
0.6%
1.6 1
 
0.6%
1.7 1
 
0.6%
2.0 5
 
3.0%
ValueCountFrequency (%)
505.2 1
0.6%
355.8 1
0.6%
170.0 1
0.6%
119.0 1
0.6%
107.0 2
1.2%
73.0 2
1.2%
69.0 1
0.6%
48.0 1
0.6%
47.0 1
0.6%
40.3 1
0.6%

공시지가
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)79.0%
Missing9
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean1708873.2
Minimum184000
Maximum13600000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T16:43:45.056165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184000
5-th percentile385720
Q1818500
median1367000
Q31776000
95-th percentile4895000
Maximum13600000
Range13416000
Interquartile range (IQR)957500

Descriptive statistics

Standard deviation1617561.6
Coefficient of variation (CV)0.94656619
Kurtosis20.344039
Mean1708873.2
Median Absolute Deviation (MAD)483000
Skewness3.7006119
Sum2.682931 × 108
Variance2.6165057 × 1012
MonotonicityNot monotonic
2023-12-12T16:43:45.187271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
813400 4
 
2.4%
184000 4
 
2.4%
738500 3
 
1.8%
1486000 3
 
1.8%
620400 3
 
1.8%
414100 3
 
1.8%
4895000 3
 
1.8%
4626000 3
 
1.8%
1776000 3
 
1.8%
1550000 3
 
1.8%
Other values (114) 125
75.3%
(Missing) 9
 
5.4%
ValueCountFrequency (%)
184000 4
2.4%
287000 1
 
0.6%
364600 1
 
0.6%
369800 1
 
0.6%
377800 1
 
0.6%
387700 1
 
0.6%
396000 1
 
0.6%
414100 3
1.8%
450000 1
 
0.6%
480000 1
 
0.6%
ValueCountFrequency (%)
13600000 1
 
0.6%
8747000 1
 
0.6%
6060000 1
 
0.6%
5328000 1
 
0.6%
5095000 1
 
0.6%
4935000 1
 
0.6%
4895000 3
1.8%
4818000 1
 
0.6%
4626000 3
1.8%
4465000 1
 
0.6%

재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
행정복지국 민원토지과
166 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행정복지국 민원토지과
2nd row행정복지국 민원토지과
3rd row행정복지국 민원토지과
4th row행정복지국 민원토지과
5th row행정복지국 민원토지과

Common Values

ValueCountFrequency (%)
행정복지국 민원토지과 166
100.0%

Length

2023-12-12T16:43:45.299087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:45.405993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정복지국 166
50.0%
민원토지과 166
50.0%

관리관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
053-661-3076
166 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-661-3076
2nd row053-661-3076
3rd row053-661-3076
4th row053-661-3076
5th row053-661-3076

Common Values

ValueCountFrequency (%)
053-661-3076 166
100.0%

Length

2023-12-12T16:43:45.510278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:45.613769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-661-3076 166
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-08-16 00:00:00
Maximum2022-08-16 00:00:00
2023-12-12T16:43:45.697070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:45.786860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:43:41.990382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:40.482409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:40.927366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.606156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:42.103865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:40.578088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.017596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.711022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:42.220059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:40.687505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.115740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.790349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:42.354104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:40.801734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.495001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:41.884482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:43:45.896134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번용도지역구분면적실면적공시지가
순번1.0000.6540.2210.2140.1970.381
용도지역0.6541.0000.7190.7900.7990.325
구분0.2210.7191.0000.0000.0000.204
면적0.2140.7900.0001.0000.9990.000
실면적0.1970.7990.0000.9991.0000.000
공시지가0.3810.3250.2040.0000.0001.000
2023-12-12T16:43:45.987335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도지역구분
용도지역1.0000.552
구분0.5521.000
2023-12-12T16:43:46.093008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면적실면적공시지가용도지역구분
순번1.0000.0850.083-0.1680.3440.183
면적0.0851.0000.998-0.1640.4250.000
실면적0.0830.9981.000-0.1680.4350.000
공시지가-0.168-0.164-0.1681.0000.1740.217
용도지역0.3440.4250.4350.1741.0000.552
구분0.1830.0000.0000.2170.5521.000

Missing values

2023-12-12T16:43:42.516864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:43:42.718452image/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

순번용도지역구분소재지면적실면적공시지가재산관리관관리관전화번호데이터기준일
01근린상업지역대지대구광역시 중구 동인동3가 271-6614.114.11900000행정복지국 민원토지과053-661-30762022-08-16
12근린상업지역대지대구광역시 중구 동인동3가 271-2176.16.12406000행정복지국 민원토지과053-661-30762022-08-16
23제2종일반주거지역대지대구광역시 중구 동인동3가 315-36.36.3<NA>행정복지국 민원토지과053-661-30762022-08-16
34제2종일반주거지역대지대구광역시 중구 동인동3가 318-12.82.8<NA>행정복지국 민원토지과053-661-30762022-08-16
45제3종일반주거지역대지대구광역시 중구 동인동4가 228-100.40.41550000행정복지국 민원토지과053-661-30762022-08-16
56제3종일반주거지역대지대구광역시 중구 동인동4가 233-44.04.01550000행정복지국 민원토지과053-661-30762022-08-16
67제3종일반주거지역대지대구광역시 중구 동인동4가 233-193.33.31550000행정복지국 민원토지과053-661-30762022-08-16
78제2종일반주거지역대지대구광역시 중구 동인동4가 295-20.20.21115000행정복지국 민원토지과053-661-30762022-08-16
89제2종일반주거지역대지대구광역시 중구 동인동4가 304-5527.827.8364600행정복지국 민원토지과053-661-30762022-08-16
910제3종일반주거지역대지대구광역시 중구 동인동4가 322-150.60.61249000행정복지국 민원토지과053-661-30762022-08-16
순번용도지역구분소재지면적실면적공시지가재산관리관관리관전화번호데이터기준일
156157근린상업지역대지대구광역시 중구 대봉동 393-373.073.0813400행정복지국 민원토지과053-661-30762022-08-16
157158근린상업지역대지대구광역시 중구 대봉동 393-49.09.0813400행정복지국 민원토지과053-661-30762022-08-16
158159제3종일반주거지역대지대구광역시 중구 대봉동 590-969.069.01352000행정복지국 민원토지과053-661-30762022-08-16
159160제3종일반주거지역대지대구광역시 중구 대봉동 590-778.08.01219000행정복지국 민원토지과053-661-30762022-08-16
160161제3종일반주거지역대지대구광역시 중구 대봉동 590-28647.047.01242000행정복지국 민원토지과053-661-30762022-08-16
161162제3종일반주거지역대지대구광역시 중구 대봉동 590-4915.05.01260000행정복지국 민원토지과053-661-30762022-08-16
162163제3종일반주거지역대지대구광역시 중구 대봉동 590-4935.05.01212000행정복지국 민원토지과053-661-30762022-08-16
163164근린상업지역대지대구광역시 중구 대봉동 729-342.82.82448000행정복지국 민원토지과053-661-30762022-08-16
164165근린상업지역대지대구광역시 중구 대봉동 729-353.13.12448000행정복지국 민원토지과053-661-30762022-08-16
165166근린상업지역대지대구광역시 중구 대봉동 731-200.90.9813400행정복지국 민원토지과053-661-30762022-08-16