Overview

Dataset statistics

Number of variables7
Number of observations637
Missing cells110
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.2 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description원주시 석면조사 대상 건축물 정보 (대상 건축물의 구분, 건물명, 주소와 이에따른 위,경도, 연면적 등 다양한 정보제공)
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3046237/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 연번High correlation
구분 is highly overall correlated with 연번High correlation
동명 has 110 (17.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:05:48.767170
Analysis finished2023-12-11 23:05:49.743331
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct637
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319
Minimum1
Maximum637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T08:05:49.799506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.8
Q1160
median319
Q3478
95-th percentile605.2
Maximum637
Range636
Interquartile range (IQR)318

Descriptive statistics

Standard deviation184.03034
Coefficient of variation (CV)0.57689762
Kurtosis-1.2
Mean319
Median Absolute Deviation (MAD)159
Skewness0
Sum203203
Variance33867.167
MonotonicityStrictly increasing
2023-12-12T08:05:49.907602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
429 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
430 1
 
0.2%
Other values (627) 627
98.4%
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 (%)
637 1
0.2%
636 1
0.2%
635 1
0.2%
634 1
0.2%
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
공공건축물
209 
어린이집
198 
대학교
123 
불특정다수이용
66 
기타
41 

Length

Max length7
Median length5
Mean length4.3171115
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공건축물
2nd row공공건축물
3rd row공공건축물
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
공공건축물 209
32.8%
어린이집 198
31.1%
대학교 123
19.3%
불특정다수이용 66
 
10.4%
기타 41
 
6.4%

Length

2023-12-12T08:05:50.019439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:05:50.102969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 209
32.8%
어린이집 198
31.1%
대학교 123
19.3%
불특정다수이용 66
 
10.4%
기타 41
 
6.4%

건물명
Text

Distinct449
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T08:05:50.254321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length8.2197802
Min length3

Characters and Unicode

Total characters5236
Distinct characters393
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

Unique415 ?
Unique (%)65.1%

Sample

1st row소초농협
2nd row한국전력공사 강원본부 원주전력지사(본관,케이블실)
3rd row한국전력공사 강원본부 원주전력지사 사택1,2
4th row문막농협주유소
5th row성애원
ValueCountFrequency (%)
연세대학교 45
 
5.7%
원주캠퍼스 43
 
5.4%
상지대학교 36
 
4.5%
원주교도소 18
 
2.3%
한라대학교 17
 
2.1%
원주의과대학 14
 
1.8%
한국도로공사 14
 
1.8%
학교법인한국폴리텍 12
 
1.5%
강릉원주대학교 12
 
1.5%
한국전력공사 11
 
1.4%
Other values (487) 574
72.1%
2023-12-12T08:05:50.513479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 316
 
6.0%
이 232
 
4.4%
주 225
 
4.3%
215
 
4.1%
린 211
 
4.0%
집 209
 
4.0%
어 204
 
3.9%
교 150
 
2.9%
학 148
 
2.8%
대 131
 
2.5%
Other values (383) 3195
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4920
94.0%
Space Separator 215
 
4.1%
Uppercase Letter 40
 
0.8%
Decimal Number 19
 
0.4%
Close Punctuation 18
 
0.3%
Open Punctuation 18
 
0.3%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 316
 
6.4%
이 232
 
4.7%
주 225
 
4.6%
린 211
 
4.3%
집 209
 
4.2%
어 204
 
4.1%
교 150
 
3.0%
학 148
 
3.0%
대 131
 
2.7%
지 107
 
2.2%
Other values (354) 2987
60.7%
Uppercase Letter
ValueCountFrequency (%)
K 7
17.5%
A 6
15.0%
B 4
10.0%
S 3
7.5%
C 3
7.5%
H 3
7.5%
G 2
 
5.0%
Q 2
 
5.0%
I 2
 
5.0%
E 1
 
2.5%
Other values (7) 7
17.5%
Decimal Number
ValueCountFrequency (%)
1 10
52.6%
2 6
31.6%
9 2
 
10.5%
4 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4921
94.0%
Common 274
 
5.2%
Latin 41
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 316
 
6.4%
이 232
 
4.7%
주 225
 
4.6%
린 211
 
4.3%
집 209
 
4.2%
어 204
 
4.1%
교 150
 
3.0%
학 148
 
3.0%
대 131
 
2.7%
지 107
 
2.2%
Other values (355) 2988
60.7%
Latin
ValueCountFrequency (%)
K 7
17.1%
A 6
14.6%
B 4
9.8%
S 3
 
7.3%
C 3
 
7.3%
H 3
 
7.3%
G 2
 
4.9%
Q 2
 
4.9%
I 2
 
4.9%
E 1
 
2.4%
Other values (8) 8
19.5%
Common
ValueCountFrequency (%)
215
78.5%
) 18
 
6.6%
( 18
 
6.6%
1 10
 
3.6%
2 6
 
2.2%
9 2
 
0.7%
, 2
 
0.7%
/ 1
 
0.4%
- 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4920
94.0%
ASCII 315
 
6.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 316
 
6.4%
이 232
 
4.7%
주 225
 
4.6%
린 211
 
4.3%
집 209
 
4.2%
어 204
 
4.1%
교 150
 
3.0%
학 148
 
3.0%
대 131
 
2.7%
지 107
 
2.2%
Other values (354) 2987
60.7%
ASCII
ValueCountFrequency (%)
215
68.3%
) 18
 
5.7%
( 18
 
5.7%
1 10
 
3.2%
K 7
 
2.2%
A 6
 
1.9%
2 6
 
1.9%
B 4
 
1.3%
S 3
 
1.0%
C 3
 
1.0%
Other values (18) 25
 
7.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

동명
Text

MISSING 

Distinct487
Distinct (%)92.4%
Missing110
Missing (%)17.3%
Memory size5.1 KiB
2023-12-12T08:05:50.729946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.313093
Min length2

Characters and Unicode

Total characters3327
Distinct characters390
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

Unique468 ?
Unique (%)88.8%

Sample

1st rowC동
2nd row케이블실
3rd row사택2
4th row농협주유소 2동
5th row창고
ValueCountFrequency (%)
본관동 13
 
2.3%
1동 9
 
1.6%
a동 5
 
0.9%
b동 5
 
0.9%
c동 3
 
0.5%
수위실 3
 
0.5%
본관 3
 
0.5%
병원 2
 
0.4%
1 2
 
0.4%
6동 2
 
0.4%
Other values (501) 522
91.7%
2023-12-12T08:05:51.126677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 228
 
6.9%
린 204
 
6.1%
집 202
 
6.1%
어 199
 
6.0%
관 108
 
3.2%
동 104
 
3.1%
원 89
 
2.7%
사 59
 
1.8%
57
 
1.7%
실 54
 
1.6%
Other values (380) 2023
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3086
92.8%
Decimal Number 67
 
2.0%
Space Separator 57
 
1.7%
Uppercase Letter 43
 
1.3%
Open Punctuation 32
 
1.0%
Close Punctuation 32
 
1.0%
Other Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 228
 
7.4%
린 204
 
6.6%
집 202
 
6.5%
어 199
 
6.4%
관 108
 
3.5%
동 104
 
3.4%
원 89
 
2.9%
사 59
 
1.9%
실 54
 
1.7%
주 53
 
1.7%
Other values (344) 1786
57.9%
Uppercase Letter
ValueCountFrequency (%)
A 8
18.6%
B 7
16.3%
C 7
16.3%
K 4
9.3%
H 3
 
7.0%
Q 2
 
4.7%
I 2
 
4.7%
D 1
 
2.3%
S 1
 
2.3%
G 1
 
2.3%
Other values (7) 7
16.3%
Decimal Number
ValueCountFrequency (%)
1 25
37.3%
2 19
28.4%
3 9
 
13.4%
4 6
 
9.0%
6 3
 
4.5%
5 3
 
4.5%
0 1
 
1.5%
7 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
i 1
25.0%
t 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
, 2
40.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3086
92.8%
Common 194
 
5.8%
Latin 47
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 228
 
7.4%
린 204
 
6.6%
집 202
 
6.5%
어 199
 
6.4%
관 108
 
3.5%
동 104
 
3.4%
원 89
 
2.9%
사 59
 
1.9%
실 54
 
1.7%
주 53
 
1.7%
Other values (344) 1786
57.9%
Latin
ValueCountFrequency (%)
A 8
17.0%
B 7
14.9%
C 7
14.9%
K 4
 
8.5%
H 3
 
6.4%
Q 2
 
4.3%
I 2
 
4.3%
D 1
 
2.1%
c 1
 
2.1%
S 1
 
2.1%
Other values (11) 11
23.4%
Common
ValueCountFrequency (%)
57
29.4%
( 32
16.5%
) 32
16.5%
1 25
12.9%
2 19
 
9.8%
3 9
 
4.6%
4 6
 
3.1%
6 3
 
1.5%
5 3
 
1.5%
/ 2
 
1.0%
Other values (5) 6
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3086
92.8%
ASCII 241
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 228
 
7.4%
린 204
 
6.6%
집 202
 
6.5%
어 199
 
6.4%
관 108
 
3.5%
동 104
 
3.4%
원 89
 
2.9%
사 59
 
1.9%
실 54
 
1.7%
주 53
 
1.7%
Other values (344) 1786
57.9%
ASCII
ValueCountFrequency (%)
57
23.7%
( 32
13.3%
) 32
13.3%
1 25
10.4%
2 19
 
7.9%
3 9
 
3.7%
A 8
 
3.3%
B 7
 
2.9%
C 7
 
2.9%
4 6
 
2.5%
Other values (26) 39
16.2%

주소(도로명주소)
Text

Distinct439
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T08:05:51.386399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length49
Mean length29.288854
Min length19

Characters and Unicode

Total characters18657
Distinct characters254
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

Unique390 ?
Unique (%)61.2%

Sample

1st row강원특별자치도 원주시 평장동길 76-0 (소초농협)
2nd row강원특별자치도 원주시 감박산길 11-0
3rd row강원특별자치도 원주시 감박산길 2-0
4th row강원특별자치도 원주시 문막시장1길 17-0
5th row강원특별자치도 원주시 섭재삼보길 89 (관설동)
ValueCountFrequency (%)
원주시 638
 
17.9%
강원특별자치도 637
 
17.9%
흥업면 74
 
2.1%
우산동 72
 
2.0%
단구동 54
 
1.5%
무실동 48
 
1.3%
단계동 47
 
1.3%
문막읍 46
 
1.3%
1 42
 
1.2%
태장동 40
 
1.1%
Other values (607) 1869
52.4%
2023-12-12T08:05:51.782294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2937
 
15.7%
원 1488
 
8.0%
시 683
 
3.7%
주 682
 
3.7%
치 663
 
3.6%
강 646
 
3.5%
도 641
 
3.4%
특 638
 
3.4%
별 638
 
3.4%
자 638
 
3.4%
Other values (244) 9003
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12016
64.4%
Space Separator 2937
 
15.7%
Decimal Number 2419
 
13.0%
Close Punctuation 483
 
2.6%
Open Punctuation 483
 
2.6%
Other Punctuation 249
 
1.3%
Dash Punctuation 70
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1488
 
12.4%
시 683
 
5.7%
주 682
 
5.7%
치 663
 
5.5%
강 646
 
5.4%
도 641
 
5.3%
특 638
 
5.3%
별 638
 
5.3%
자 638
 
5.3%
동 598
 
5.0%
Other values (229) 4701
39.1%
Decimal Number
ValueCountFrequency (%)
1 599
24.8%
2 356
14.7%
0 323
13.4%
3 248
10.3%
5 193
 
8.0%
8 177
 
7.3%
4 160
 
6.6%
6 139
 
5.7%
9 114
 
4.7%
7 110
 
4.5%
Space Separator
ValueCountFrequency (%)
2937
100.0%
Close Punctuation
ValueCountFrequency (%)
) 483
100.0%
Open Punctuation
ValueCountFrequency (%)
( 483
100.0%
Other Punctuation
ValueCountFrequency (%)
, 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12016
64.4%
Common 6641
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1488
 
12.4%
시 683
 
5.7%
주 682
 
5.7%
치 663
 
5.5%
강 646
 
5.4%
도 641
 
5.3%
특 638
 
5.3%
별 638
 
5.3%
자 638
 
5.3%
동 598
 
5.0%
Other values (229) 4701
39.1%
Common
ValueCountFrequency (%)
2937
44.2%
1 599
 
9.0%
) 483
 
7.3%
( 483
 
7.3%
2 356
 
5.4%
0 323
 
4.9%
, 249
 
3.7%
3 248
 
3.7%
5 193
 
2.9%
8 177
 
2.7%
Other values (5) 593
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12016
64.4%
ASCII 6641
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2937
44.2%
1 599
 
9.0%
) 483
 
7.3%
( 483
 
7.3%
2 356
 
5.4%
0 323
 
4.9%
, 249
 
3.7%
3 248
 
3.7%
5 193
 
2.9%
8 177
 
2.7%
Other values (5) 593
 
8.9%
Hangul
ValueCountFrequency (%)
원 1488
 
12.4%
시 683
 
5.7%
주 682
 
5.7%
치 663
 
5.5%
강 646
 
5.4%
도 641
 
5.3%
특 638
 
5.3%
별 638
 
5.3%
자 638
 
5.3%
동 598
 
5.0%
Other values (229) 4701
39.1%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct583
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2033.1576
Minimum3.04
Maximum83531.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T08:05:51.909938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04
5-th percentile69.588
Q1156.98
median813.13
Q32196.04
95-th percentile7759.46
Maximum83531.72
Range83528.68
Interquartile range (IQR)2039.06

Descriptive statistics

Standard deviation4663.6559
Coefficient of variation (CV)2.2937995
Kurtosis158.51446
Mean2033.1576
Median Absolute Deviation (MAD)702.16
Skewness10.442537
Sum1295121.4
Variance21749686
MonotonicityNot monotonic
2023-12-12T08:05:52.019308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.98 6
 
0.9%
84.96 6
 
0.9%
85.0 5
 
0.8%
1142.82 5
 
0.8%
3671.91 4
 
0.6%
84.93 4
 
0.6%
156.0 3
 
0.5%
1272.0 3
 
0.5%
3220.0 3
 
0.5%
59.92 3
 
0.5%
Other values (573) 595
93.4%
ValueCountFrequency (%)
3.04 1
0.2%
3.64 1
0.2%
3.7 1
0.2%
5.1 1
0.2%
9.63 1
0.2%
11.33 1
0.2%
12.0 1
0.2%
16.01 1
0.2%
18.0 1
0.2%
18.99 1
0.2%
ValueCountFrequency (%)
83531.72 1
0.2%
42257.86 1
0.2%
29681.61 1
0.2%
29397.41 1
0.2%
17479.96 1
0.2%
15432.54 1
0.2%
13833.28 1
0.2%
13722.79 1
0.2%
13484.13 1
0.2%
13450.44 1
0.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-08-31
637 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 637
100.0%

Length

2023-12-12T08:05:52.134926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:05:52.218528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 637
100.0%

Interactions

2023-12-12T08:05:49.440255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:05:49.274251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:05:49.519119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:05:49.365105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:05:52.269421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분연면적
연번1.0000.9390.188
구분0.9391.0000.184
연면적0.1880.1841.000
2023-12-12T08:05:52.348759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적구분
연번1.0000.5180.663
연면적0.5181.0000.125
구분0.6630.1251.000

Missing values

2023-12-12T08:05:49.610480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:05:49.705903image/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

연번구분건물명동명주소(도로명주소)연면적데이터기준일
01공공건축물소초농협C동강원특별자치도 원주시 평장동길 76-0 (소초농협)2160.742023-08-31
12공공건축물한국전력공사 강원본부 원주전력지사(본관,케이블실)케이블실강원특별자치도 원주시 감박산길 11-03425.842023-08-31
23공공건축물한국전력공사 강원본부 원주전력지사 사택1,2사택2강원특별자치도 원주시 감박산길 2-0911.042023-08-31
34기타문막농협주유소농협주유소 2동강원특별자치도 원주시 문막시장1길 17-0606.322023-08-31
45기타성애원창고강원특별자치도 원주시 섭재삼보길 89 (관설동)1142.822023-08-31
56기타성애원성애원B동강원특별자치도 원주시 섭재삼보길 89 (관설동)1142.822023-08-31
67기타성애원냉동실강원특별자치도 원주시 섭재삼보길 89 (관설동)1142.822023-08-31
78기타성애원사무실강원특별자치도 원주시 섭재삼보길 89 (관설동)1142.822023-08-31
89어린이집해오름영재어린이집해오름영재어린이집강원특별자치도 원주시 남산로48번길 41 (원동)616.982023-08-31
910어린이집중평어린이집중평어린이집강원특별자치도 원주시 평원안길 34-5 (평원동)548.632023-08-31
연번구분건물명동명주소(도로명주소)연면적데이터기준일
627628공공건축물대한지적공사 원주시지사<NA>강원특별자치도 원주시 시청로 2 (무실동)4861.332023-08-31
628629공공건축물영서남부적십자봉사관영서남부적십자봉사관강원특별자치도 원주시 북원로2246번길 20 (단계동)843.02023-08-31
629630공공건축물도로교통공단 한국교통방송 강원본부도로교통공단 한국교통방송 강원본부강원특별자치도 원주시 동부순환로 183 (반곡동)2481.922023-08-31
630631공공건축물한국토지주택공사 원주사옥<NA>강원특별자치도 원주시 무실로 129 (원동)2931.452023-08-31
631632공공건축물명륜2 종합사회복지관명륜2 사회복지관강원특별자치도 원주시 예술관길 31 (명륜동, 명륜2단지아파트)2898.452023-08-31
632633공공건축물KBS원주방송국별관강원특별자치도 원주시 원일로 37 (원동)506.972023-08-31
633634공공건축물KBS원주방송국본관강원특별자치도 원주시 원일로 37 (원동)4028.242023-08-31
634635공공건축물한국전력공사 강원본부 원주전력지사<NA>강원특별자치도 원주시 호저면 감박산길 113425.842023-08-31
635636공공건축물한국전력공사 강원본부 원주전력지사<NA>강원특별자치도 원주시 호저면 감박산길 111231.172023-08-31
636637공공건축물한국전력공사 강원본부원주지사사택<NA>강원특별자치도 원주시 원문로 33 (학성동)862.742023-08-31