Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells153
Missing cells (%)0.3%
Duplicate rows12
Duplicate rows (%)0.1%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text3

Dataset

Description경기도 광주시 도시계획정보시스템의 건축물 층별 개요 현황에 관한 데이터로 건축물대장, 층, 기타구조, 기타용도, 면적 등에 대한 항목을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15123233/fileData.do

Alerts

Dataset has 12 (0.1%) duplicate rowsDuplicates
기타구조 has 130 (1.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:12:36.086699
Analysis finished2023-12-12 05:12:37.600797
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물 대장
Real number (ℝ)

Distinct8475
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26435198
Minimum0
Maximum1.0030334 × 108
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:12:37.711058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3077.9
Q111851.5
median22935.5
Q31.0017318 × 108
95-th percentile1.0021238 × 108
Maximum1.0030334 × 108
Range1.0030334 × 108
Interquartile range (IQR)1.0016133 × 108

Descriptive statistics

Standard deviation44146446
Coefficient of variation (CV)1.6699873
Kurtosis-0.84949364
Mean26435198
Median Absolute Deviation (MAD)11647
Skewness1.0726955
Sum2.6435198 × 1011
Variance1.9489087 × 1015
MonotonicityNot monotonic
2023-12-12T14:12:37.884964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3348 7
 
0.1%
3044 6
 
0.1%
100185463 6
 
0.1%
28194 5
 
0.1%
100176913 5
 
0.1%
3018 5
 
0.1%
0 5
 
0.1%
2925 5
 
0.1%
3351 5
 
0.1%
5703 5
 
0.1%
Other values (8465) 9946
99.5%
ValueCountFrequency (%)
0 5
0.1%
1745 1
 
< 0.1%
1747 1
 
< 0.1%
1750 2
 
< 0.1%
1751 3
< 0.1%
1752 1
 
< 0.1%
1754 2
 
< 0.1%
1755 2
 
< 0.1%
1760 1
 
< 0.1%
1763 1
 
< 0.1%
ValueCountFrequency (%)
100303341 1
 
< 0.1%
100303299 1
 
< 0.1%
100303238 1
 
< 0.1%
100303158 1
 
< 0.1%
100302939 1
 
< 0.1%
100302458 3
< 0.1%
100302300 1
 
< 0.1%
100302298 1
 
< 0.1%
100301658 1
 
< 0.1%
100301378 1
 
< 0.1%

층
Text

Distinct203
Distinct (%)2.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T14:12:38.092619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.0350035
Min length1

Characters and Unicode

Total characters20348
Distinct characters69
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

Unique108 ?
Unique (%)1.1%

Sample

1st row1층
2nd row지층
3rd row1
4th row1층
5th row1층
ValueCountFrequency (%)
1층 4450
44.3%
2층 1602
 
15.9%
1 701
 
7.0%
3층 651
 
6.5%
4층 468
 
4.7%
2 233
 
2.3%
지1층 196
 
1.9%
지1 181
 
1.8%
옥탑1층 152
 
1.5%
지층 131
 
1.3%
Other values (172) 1288
 
12.8%
2023-12-12T14:12:38.478102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
층 8464
41.6%
1 6224
30.6%
2 1964
 
9.7%
3 837
 
4.1%
지 590
 
2.9%
4 587
 
2.9%
옥 276
 
1.4%
탑 276
 
1.4%
동 173
 
0.9%
5 135
 
0.7%
Other values (59) 822
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10117
49.7%
Decimal Number 10049
49.4%
Space Separator 55
 
0.3%
Close Punctuation 40
 
0.2%
Open Punctuation 40
 
0.2%
Uppercase Letter 36
 
0.2%
Dash Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 8464
83.7%
지 590
 
5.8%
옥 276
 
2.7%
탑 276
 
2.7%
동 173
 
1.7%
일 71
 
0.7%
하 54
 
0.5%
이 39
 
0.4%
호 31
 
0.3%
가 30
 
0.3%
Other values (35) 113
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 6224
61.9%
2 1964
 
19.5%
3 837
 
8.3%
4 587
 
5.8%
5 135
 
1.3%
8 74
 
0.7%
7 70
 
0.7%
6 65
 
0.6%
0 53
 
0.5%
9 40
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 16
44.4%
A 13
36.1%
C 3
 
8.3%
D 1
 
2.8%
T 1
 
2.8%
I 1
 
2.8%
P 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
> 2
50.0%
< 2
50.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10195
50.1%
Hangul 10117
49.7%
Latin 36
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 8464
83.7%
지 590
 
5.8%
옥 276
 
2.7%
탑 276
 
2.7%
동 173
 
1.7%
일 71
 
0.7%
하 54
 
0.5%
이 39
 
0.4%
호 31
 
0.3%
가 30
 
0.3%
Other values (35) 113
 
1.1%
Common
ValueCountFrequency (%)
1 6224
61.0%
2 1964
 
19.3%
3 837
 
8.2%
4 587
 
5.8%
5 135
 
1.3%
8 74
 
0.7%
7 70
 
0.7%
6 65
 
0.6%
55
 
0.5%
0 53
 
0.5%
Other values (7) 131
 
1.3%
Latin
ValueCountFrequency (%)
B 16
44.4%
A 13
36.1%
C 3
 
8.3%
D 1
 
2.8%
T 1
 
2.8%
I 1
 
2.8%
P 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10231
50.3%
Hangul 10117
49.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
층 8464
83.7%
지 590
 
5.8%
옥 276
 
2.7%
탑 276
 
2.7%
동 173
 
1.7%
일 71
 
0.7%
하 54
 
0.5%
이 39
 
0.4%
호 31
 
0.3%
가 30
 
0.3%
Other values (35) 113
 
1.1%
ASCII
ValueCountFrequency (%)
1 6224
60.8%
2 1964
 
19.2%
3 837
 
8.2%
4 587
 
5.7%
5 135
 
1.3%
8 74
 
0.7%
7 70
 
0.7%
6 65
 
0.6%
55
 
0.5%
0 53
 
0.5%
Other values (14) 167
 
1.6%

기타구조
Text

MISSING 

Distinct722
Distinct (%)7.3%
Missing130
Missing (%)1.3%
Memory size156.2 KiB
2023-12-12T14:12:38.858841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.0048632
Min length1

Characters and Unicode

Total characters69138
Distinct characters158
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

Unique445 ?
Unique (%)4.5%

Sample

1st row철골조
2nd row연와조/기와즙
3rd row경량철골조
4th row철근콘크리트구조
5th row철근콘크리트.스라브
ValueCountFrequency (%)
철근콘크리트구조 3157
31.6%
일반철골구조 1049
 
10.5%
철근콘크리트조 944
 
9.4%
철골조 512
 
5.1%
연와조/스라브 246
 
2.5%
철근콘크리트 236
 
2.4%
철근콘크리트/스라브 215
 
2.2%
목조/스레트 198
 
2.0%
철근콘크리트벽식구조 187
 
1.9%
조적조 181
 
1.8%
Other values (693) 3071
30.7%
2023-12-12T14:12:39.404109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 9525
13.8%
철 7516
10.9%
트 5972
 
8.6%
크 5244
 
7.6%
리 5241
 
7.6%
콘 5230
 
7.6%
근 5204
 
7.5%
구 5032
 
7.3%
골 2322
 
3.4%
/ 1852
 
2.7%
Other values (148) 16000
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66544
96.2%
Other Punctuation 2223
 
3.2%
Space Separator 126
 
0.2%
Uppercase Letter 102
 
0.1%
Open Punctuation 67
 
0.1%
Close Punctuation 67
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 9525
14.3%
철 7516
11.3%
트 5972
9.0%
크 5244
 
7.9%
리 5241
 
7.9%
콘 5230
 
7.9%
근 5204
 
7.8%
구 5032
 
7.6%
골 2322
 
3.5%
스 1635
 
2.5%
Other values (125) 13623
20.5%
Uppercase Letter
ValueCountFrequency (%)
C 47
46.1%
R 37
36.3%
A 4
 
3.9%
L 4
 
3.9%
N 3
 
2.9%
O 3
 
2.9%
S 1
 
1.0%
P 1
 
1.0%
W 1
 
1.0%
E 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 1852
83.3%
, 191
 
8.6%
. 178
 
8.0%
" 1
 
< 0.1%
' 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
n 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66544
96.2%
Common 2488
 
3.6%
Latin 106
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 9525
14.3%
철 7516
11.3%
트 5972
9.0%
크 5244
 
7.9%
리 5241
 
7.9%
콘 5230
 
7.9%
근 5204
 
7.8%
구 5032
 
7.6%
골 2322
 
3.5%
스 1635
 
2.5%
Other values (125) 13623
20.5%
Latin
ValueCountFrequency (%)
C 47
44.3%
R 37
34.9%
A 4
 
3.8%
L 4
 
3.8%
N 3
 
2.8%
O 3
 
2.8%
c 2
 
1.9%
n 1
 
0.9%
S 1
 
0.9%
o 1
 
0.9%
Other values (3) 3
 
2.8%
Common
ValueCountFrequency (%)
/ 1852
74.4%
, 191
 
7.7%
. 178
 
7.2%
126
 
5.1%
( 67
 
2.7%
) 67
 
2.7%
+ 4
 
0.2%
" 1
 
< 0.1%
' 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66544
96.2%
ASCII 2594
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 9525
14.3%
철 7516
11.3%
트 5972
9.0%
크 5244
 
7.9%
리 5241
 
7.9%
콘 5230
 
7.9%
근 5204
 
7.8%
구 5032
 
7.6%
골 2322
 
3.5%
스 1635
 
2.5%
Other values (125) 13623
20.5%
ASCII
ValueCountFrequency (%)
/ 1852
71.4%
, 191
 
7.4%
. 178
 
6.9%
126
 
4.9%
( 67
 
2.6%
) 67
 
2.6%
C 47
 
1.8%
R 37
 
1.4%
A 4
 
0.2%
+ 4
 
0.2%
Other values (13) 21
 
0.8%

기타 용도
Text

Distinct1777
Distinct (%)17.8%
Missing22
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T14:12:39.725273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length6.4505913
Min length1

Characters and Unicode

Total characters64364
Distinct characters379
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1305 ?
Unique (%)13.1%

Sample

1st row창고
2nd row주택
3rd row창고 및 주택
4th row아파트
5th row다가구주택(2가구)
ValueCountFrequency (%)
주택 1362
 
13.1%
아파트 702
 
6.8%
창고 551
 
5.3%
단독주택 502
 
4.8%
다세대주택 445
 
4.3%
공장 384
 
3.7%
다세대주택(2세대 354
 
3.4%
제1종근생(소매점 171
 
1.7%
화장실 158
 
1.5%
다가구주택 151
 
1.5%
Other values (1665) 5581
53.9%
2023-12-12T14:12:40.184091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4257
 
6.6%
( 4117
 
6.4%
) 4054
 
6.3%
택 4044
 
6.3%
대 2139
 
3.3%
세 2028
 
3.2%
장 1783
 
2.8%
제 1758
 
2.7%
다 1615
 
2.5%
실 1564
 
2.4%
Other values (369) 37005
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52400
81.4%
Open Punctuation 4132
 
6.4%
Close Punctuation 4069
 
6.3%
Decimal Number 2510
 
3.9%
Other Punctuation 724
 
1.1%
Space Separator 385
 
0.6%
Uppercase Letter 72
 
0.1%
Dash Punctuation 25
 
< 0.1%
Math Symbol 24
 
< 0.1%
Other Symbol 15
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4257
 
8.1%
택 4044
 
7.7%
대 2139
 
4.1%
세 2028
 
3.9%
장 1783
 
3.4%
제 1758
 
3.4%
다 1615
 
3.1%
실 1564
 
3.0%
생 1552
 
3.0%
근 1536
 
2.9%
Other values (319) 30124
57.5%
Uppercase Letter
ValueCountFrequency (%)
E 26
36.1%
V 14
19.4%
L 12
16.7%
A 3
 
4.2%
H 2
 
2.8%
R 2
 
2.8%
C 2
 
2.8%
N 2
 
2.8%
F 1
 
1.4%
D 1
 
1.4%
Other values (7) 7
 
9.7%
Decimal Number
ValueCountFrequency (%)
2 1479
58.9%
1 545
 
21.7%
3 189
 
7.5%
4 128
 
5.1%
5 51
 
2.0%
6 40
 
1.6%
0 24
 
1.0%
8 22
 
0.9%
9 21
 
0.8%
7 11
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 441
60.9%
. 205
28.3%
/ 55
 
7.6%
: 20
 
2.8%
' 2
 
0.3%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 11
45.8%
< 11
45.8%
+ 1
 
4.2%
~ 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
e 2
33.3%
v 1
16.7%
l 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 4117
99.6%
[ 15
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 4054
99.6%
] 15
 
0.4%
Other Symbol
ValueCountFrequency (%)
㎡ 12
80.0%
○ 3
 
20.0%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52400
81.4%
Common 11886
 
18.5%
Latin 78
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4257
 
8.1%
택 4044
 
7.7%
대 2139
 
4.1%
세 2028
 
3.9%
장 1783
 
3.4%
제 1758
 
3.4%
다 1615
 
3.1%
실 1564
 
3.0%
생 1552
 
3.0%
근 1536
 
2.9%
Other values (319) 30124
57.5%
Common
ValueCountFrequency (%)
( 4117
34.6%
) 4054
34.1%
2 1479
 
12.4%
1 545
 
4.6%
, 441
 
3.7%
385
 
3.2%
. 205
 
1.7%
3 189
 
1.6%
4 128
 
1.1%
/ 55
 
0.5%
Other values (19) 288
 
2.4%
Latin
ValueCountFrequency (%)
E 26
33.3%
V 14
17.9%
L 12
15.4%
A 3
 
3.8%
H 2
 
2.6%
m 2
 
2.6%
e 2
 
2.6%
R 2
 
2.6%
C 2
 
2.6%
N 2
 
2.6%
Other values (11) 11
14.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52398
81.4%
ASCII 11948
 
18.6%
CJK Compat 12
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4257
 
8.1%
택 4044
 
7.7%
대 2139
 
4.1%
세 2028
 
3.9%
장 1783
 
3.4%
제 1758
 
3.4%
다 1615
 
3.1%
실 1564
 
3.0%
생 1552
 
3.0%
근 1536
 
2.9%
Other values (318) 30122
57.5%
ASCII
ValueCountFrequency (%)
( 4117
34.5%
) 4054
33.9%
2 1479
 
12.4%
1 545
 
4.6%
, 441
 
3.7%
385
 
3.2%
. 205
 
1.7%
3 189
 
1.6%
4 128
 
1.1%
/ 55
 
0.5%
Other values (37) 350
 
2.9%
CJK Compat
ValueCountFrequency (%)
㎡ 12
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

면적
Real number (ℝ)

Distinct6329
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.73689
Minimum0
Maximum11023.11
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:12:40.357640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.76
Q157.0425
median120.595
Q3197.985
95-th percentile615.92
Maximum11023.11
Range11023.11
Interquartile range (IQR)140.9425

Descriptive statistics

Standard deviation305.94752
Coefficient of variation (CV)1.6296611
Kurtosis248.86574
Mean187.73689
Median Absolute Deviation (MAD)69.355
Skewness11.221189
Sum1877368.9
Variance93603.882
MonotonicityNot monotonic
2023-12-12T14:12:40.517087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 215
 
2.1%
99.0 59
 
0.6%
66.0 40
 
0.4%
330.0 39
 
0.4%
132.0 21
 
0.2%
11.7 21
 
0.2%
12.0 19
 
0.2%
165.0 18
 
0.2%
36.0 18
 
0.2%
33.0 18
 
0.2%
Other values (6319) 9532
95.3%
ValueCountFrequency (%)
0.0 11
0.1%
0.6 1
 
< 0.1%
0.75 1
 
< 0.1%
1.0 1
 
< 0.1%
1.21 1
 
< 0.1%
1.25 1
 
< 0.1%
1.42 1
 
< 0.1%
1.43 1
 
< 0.1%
1.44 6
0.1%
1.52 1
 
< 0.1%
ValueCountFrequency (%)
11023.11 1
< 0.1%
6559.57 1
< 0.1%
6365.054 1
< 0.1%
6066.65 1
< 0.1%
5408.52 1
< 0.1%
4647.612 1
< 0.1%
4524.18 1
< 0.1%
4388.5408 1
< 0.1%
4196.54 1
< 0.1%
4163.88 1
< 0.1%

Interactions

2023-12-12T14:12:36.999744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:36.760566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:37.118531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:36.883387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:12:40.610592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물 대장면적
건축물 대장1.0000.002
면적0.0021.000
2023-12-12T14:12:40.699345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물 대장면적
건축물 대장1.000-0.108
면적-0.1081.000

Missing values

2023-12-12T14:12:37.280099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:12:37.422036image/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.
2023-12-12T14:12:37.538051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

건축물 대장층기타구조기타 용도면적
71623061층철골조창고67.24
2204111660지층연와조/기와즙주택95.67
24671114311경량철골조창고 및 주택79.05
246426801층철근콘크리트구조아파트256.98
48637227901층철근콘크리트.스라브다가구주택(2가구)128.82
327061002400182층철근콘크리트구조공동주택(다세대주택)128.98
1920990241철골조화장실12.0
49215239231층철근콘크리트구조일반음식점114.54
884251002061171층철근콘크리트구조계단실12.15
970561002154572층철근콘크리트구조다세대주택(3세대)158.57
건축물 대장층기타구조기타 용도면적
29859124771층철근콘크리트구조제1종근린생활시설(계단실,화장실)21.87
1039274861층블럭조일반음식점82.48
852039645층철근콘크리트구조아파트431.8396
70448320821층철근콘크리트조주택(2세대)156.48
866021001900771층벽돌구조단독주택120.0
70634309971층철근콘크리트구조제1종근생(휴게음식점)37.62
36268166751층일반철골구조일반공장 (창고)294.0
4769023201중1층철근조/슈레이션판넬공장172.98
904891001986874층철근콘크리트구조다세대주택131.11
25590109531층브럭/스레트축사326.61

Duplicate rows

Most frequently occurring

건축물 대장층기타구조기타 용도면적# duplicates
5146741철골조창고164.713
098281경량철골조/스레이트공장198.02
1122801층철골조/콘크리트스라브공장(컴퓨터입력장치제조업)248.62
2124771층철근콘크리트구조제1종근린생활시설(소매점)22.82
3129241층브럭크/스레트공장148.52
4138351층브럭/스레트근생189.02
6161801층철골조/조립식판넬공장330.02
7175791층브럭/스레트공장(목재건구제조)148.982
8176781층블록구조공장198.02
9265721층철근콘크리트3세대163.892