Overview

Dataset statistics

Number of variables5
Number of observations716
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.1 KiB
Average record size in memory40.2 B

Variable types

Categorical2
Text3

Dataset

Description통계리스트 : 건축물통계, 건축허가 및 착공통계, 국토지리정보현황, 개발제한구역현황, 건축사현황, 국토계획, 도시개발사업현황, 산업단지 현황, 수도권계획, 지역균형발전계획, 공간정보산업조사, 도시정비사업현황, 미분양주택현황보고, 아파트주거환경통계, 임대주택통계, 주거실태조사, 주택건설실적통계(인허가, 준공, 착공), 주택도시기금 및 주택분양보증현황, 주택보급률, 주택이외의거처 주거실태조사, 공동주택 분양승인 실적, 공동주택 현황, 도시형생활주택 인허가 실적, 입주자저축가입자현황, 주택사업자현황, 외국인토지현황, 지적통계, 택지예정지구지정 및 공급현황, 토지소유현황, 개발부담금 부과 및 징수현황, 개업공인중개사 현황(분기별), 부동산개발 전문인력 교육기관 지정현황, 부동산개발업등록현황_총괄, 중앙토지수용위원회 재결처리 현황, 건설공사계약통계, 건설공사감리현황(2013년 이후 통계생산 중단), 건설근로자 퇴직공제 현황, 건설기계 현황 통계, 건설기술인 및 용역업체 현황, 건설신기술지정현황(연도별), 건설업체수 및 부도업체수 , 건설자재현황_연도별 골재채취현황, 민간투자사업 추진현황, 교통문화실태조사, 교통부문수송실적보고, 국가교통조사, 대중교통현황조사(2007~2018), 자동차등록현황보고, GDP대비 국가물류비, 경유가 추이(전국주유소 평균가), 광역교통개선대책수립현황, 광역교통시설부담금 현황, 기업물류비연도별추이, 물류시설현황, 버스 및 택시 수송실적(연도별), 영업용 화물차량 대수, 자동차 리콜 현황, 자동차 면허 및 등록대수 연도별, 자동차관리사업자업체현황분기, 자동차관리사업자업체현황분기, 자동차교통사고발생현황(연도별), 저상버스도입현황, 특별교통대책 기간중 주요 지역간 최대 소요시간 (고속도로), 항공교통관제업무통계, 공항 소음대책지역 지정고시 현황, 국내공항시설현황, 국내선항공노선현황, 국적항공사 위험물 운송현황, 국제선지역별운항현황, 국제선항공노선현황, 주요 항행안전시설 현황, 지방공항국제선운항현황연도별, 항공기등록현황, 항공기보유현황_연도별, 항공
Author국토교통부
URLhttps://www.data.go.kr/data/15063216/fileData.do

Alerts

랜딩페이지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:56:50.064211
Analysis finished2023-12-12 10:56:50.977557
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계분야
Categorical

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
주택
165 
교통/물류
153 
건설
129 
토지
121 
도로/철도
65 
Other values (2)
83 

Length

Max length5
Median length2
Mean length3.1564246
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국토/도시
2nd row국토/도시
3rd row국토/도시
4th row국토/도시
5th row국토/도시

Common Values

ValueCountFrequency (%)
주택 165
23.0%
교통/물류 153
21.4%
건설 129
18.0%
토지 121
16.9%
도로/철도 65
 
9.1%
국토/도시 58
 
8.1%
항공 25
 
3.5%

Length

2023-12-12T19:56:51.103884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:51.371437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택 165
23.0%
교통/물류 153
21.4%
건설 129
18.0%
토지 121
16.9%
도로/철도 65
 
9.1%
국토/도시 58
 
8.1%
항공 25
 
3.5%

통계유형
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
승인통계
609 
행정자료
107 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승인통계 609
85.1%
행정자료 107
 
14.9%

Length

2023-12-12T19:56:51.627020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:51.853836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승인통계 609
85.1%
행정자료 107
 
14.9%

통계명
Text

Distinct93
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T19:56:52.255399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length10.699721
Min length4

Characters and Unicode

Total characters7661
Distinct characters176
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

Unique38 ?
Unique (%)5.3%

Sample

1st row건축물통계
2nd row건축물통계
3rd row건축물통계
4th row건축물통계
5th row건축물통계
ValueCountFrequency (%)
기계설비산업실태조사 104
 
10.1%
토지소유현황 93
 
9.1%
주거실태조사 87
 
8.5%
주택이외의거처 73
 
7.1%
대중교통현황조사(2011 50
 
4.9%
50
 
4.9%
대중교통현황조사(2007~2010 49
 
4.8%
및 39
 
3.8%
아파트주거환경통계 30
 
2.9%
현황 30
 
2.9%
Other values (135) 420
41.0%
2023-12-12T19:56:52.939608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
현 355
 
4.6%
황 355
 
4.6%
사 350
 
4.6%
313
 
4.1%
조 310
 
4.0%
0 249
 
3.3%
통 246
 
3.2%
주 246
 
3.2%
실 232
 
3.0%
계 225
 
2.9%
Other values (166) 4780
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6334
82.7%
Decimal Number 620
 
8.1%
Space Separator 313
 
4.1%
Open Punctuation 135
 
1.8%
Close Punctuation 135
 
1.8%
Math Symbol 99
 
1.3%
Uppercase Letter 12
 
0.2%
Other Punctuation 8
 
0.1%
Connector Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 355
 
5.6%
황 355
 
5.6%
사 350
 
5.5%
조 310
 
4.9%
통 246
 
3.9%
주 246
 
3.9%
실 232
 
3.7%
계 225
 
3.6%
태 192
 
3.0%
거 190
 
3.0%
Other values (151) 3633
57.4%
Decimal Number
ValueCountFrequency (%)
0 249
40.2%
1 160
25.8%
2 151
24.4%
7 49
 
7.9%
5 8
 
1.3%
3 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 4
33.3%
D 4
33.3%
G 4
33.3%
Space Separator
ValueCountFrequency (%)
313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Math Symbol
ValueCountFrequency (%)
~ 99
100.0%
Other Punctuation
ValueCountFrequency (%)
' 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6334
82.7%
Common 1315
 
17.2%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 355
 
5.6%
황 355
 
5.6%
사 350
 
5.5%
조 310
 
4.9%
통 246
 
3.9%
주 246
 
3.9%
실 232
 
3.7%
계 225
 
3.6%
태 192
 
3.0%
거 190
 
3.0%
Other values (151) 3633
57.4%
Common
ValueCountFrequency (%)
313
23.8%
0 249
18.9%
1 160
12.2%
2 151
11.5%
( 135
10.3%
) 135
10.3%
~ 99
 
7.5%
7 49
 
3.7%
' 8
 
0.6%
5 8
 
0.6%
Other values (2) 8
 
0.6%
Latin
ValueCountFrequency (%)
P 4
33.3%
D 4
33.3%
G 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6334
82.7%
ASCII 1327
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
현 355
 
5.6%
황 355
 
5.6%
사 350
 
5.5%
조 310
 
4.9%
통 246
 
3.9%
주 246
 
3.9%
실 232
 
3.7%
계 225
 
3.6%
태 192
 
3.0%
거 190
 
3.0%
Other values (151) 3633
57.4%
ASCII
ValueCountFrequency (%)
313
23.6%
0 249
18.8%
1 160
12.1%
2 151
11.4%
( 135
10.2%
) 135
10.2%
~ 99
 
7.5%
7 49
 
3.7%
' 8
 
0.6%
5 8
 
0.6%
Other values (5) 20
 
1.5%

통계표명
Text

Distinct683
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T19:56:53.368081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length17.931564
Min length4

Characters and Unicode

Total characters12839
Distinct characters365
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique651 ?
Unique (%)90.9%

Sample

1st row면적별 건축물 현황
2nd row면적별 건축물 현황(50만_이상_도시)
3rd row소유구분별 건축물 현황
4th row소유구분별 건축물 현황(50만_이상_도시)
5th row용도별 건축물 현황
ValueCountFrequency (%)
현황 93
 
3.6%
토지의 69
 
2.7%
시도별 52
 
2.0%
및 44
 
1.7%
평균 39
 
1.5%
대중교통 27
 
1.0%
현황_시군구 25
 
1.0%
종사자 24
 
0.9%
지역별 23
 
0.9%
수 23
 
0.9%
Other values (1132) 2177
83.9%
2023-12-12T19:56:54.076692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1881
 
14.7%
별 428
 
3.3%
현 379
 
3.0%
황 363
 
2.8%
지 315
 
2.5%
도 262
 
2.0%
( 261
 
2.0%
) 261
 
2.0%
. 235
 
1.8%
시 198
 
1.5%
Other values (355) 8256
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9289
72.3%
Space Separator 1881
 
14.7%
Decimal Number 656
 
5.1%
Other Punctuation 298
 
2.3%
Open Punctuation 262
 
2.0%
Close Punctuation 262
 
2.0%
Connector Punctuation 110
 
0.9%
Math Symbol 42
 
0.3%
Dash Punctuation 26
 
0.2%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 428
 
4.6%
현 379
 
4.1%
황 363
 
3.9%
지 315
 
3.4%
도 262
 
2.8%
시 198
 
2.1%
수 190
 
2.0%
주 183
 
2.0%
사 166
 
1.8%
유 161
 
1.7%
Other values (321) 6644
71.5%
Decimal Number
ValueCountFrequency (%)
0 141
21.5%
1 121
18.4%
2 121
18.4%
3 67
10.2%
7 54
 
8.2%
5 36
 
5.5%
4 35
 
5.3%
9 33
 
5.0%
6 30
 
4.6%
8 18
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
D 3
23.1%
I 2
15.4%
S 2
15.4%
T 2
15.4%
R 2
15.4%
P 1
 
7.7%
G 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 235
78.9%
· 27
 
9.1%
: 13
 
4.4%
, 12
 
4.0%
/ 9
 
3.0%
& 2
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 32
76.2%
+ 6
 
14.3%
> 2
 
4.8%
< 2
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 261
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 261
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1881
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9287
72.3%
Common 3537
 
27.5%
Latin 13
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 428
 
4.6%
현 379
 
4.1%
황 363
 
3.9%
지 315
 
3.4%
도 262
 
2.8%
시 198
 
2.1%
수 190
 
2.0%
주 183
 
2.0%
사 166
 
1.8%
유 161
 
1.7%
Other values (319) 6642
71.5%
Common
ValueCountFrequency (%)
1881
53.2%
( 261
 
7.4%
) 261
 
7.4%
. 235
 
6.6%
0 141
 
4.0%
1 121
 
3.4%
2 121
 
3.4%
_ 110
 
3.1%
3 67
 
1.9%
7 54
 
1.5%
Other values (17) 285
 
8.1%
Latin
ValueCountFrequency (%)
D 3
23.1%
I 2
15.4%
S 2
15.4%
T 2
15.4%
R 2
15.4%
P 1
 
7.7%
G 1
 
7.7%
Han
ValueCountFrequency (%)
舊 1
50.0%
新 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9287
72.3%
ASCII 3523
 
27.4%
None 27
 
0.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1881
53.4%
( 261
 
7.4%
) 261
 
7.4%
. 235
 
6.7%
0 141
 
4.0%
1 121
 
3.4%
2 121
 
3.4%
_ 110
 
3.1%
3 67
 
1.9%
7 54
 
1.5%
Other values (23) 271
 
7.7%
Hangul
ValueCountFrequency (%)
별 428
 
4.6%
현 379
 
4.1%
황 363
 
3.9%
지 315
 
3.4%
도 262
 
2.8%
시 198
 
2.1%
수 190
 
2.0%
주 183
 
2.0%
사 166
 
1.8%
유 161
 
1.7%
Other values (319) 6642
71.5%
None
ValueCountFrequency (%)
· 27
100.0%
CJK
ValueCountFrequency (%)
舊 1
50.0%
新 1
50.0%

랜딩페이지주소
Text

UNIQUE 

Distinct716
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T19:56:54.559572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length69
Mean length69.353352
Min length67

Characters and Unicode

Total characters49657
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique716 ?
Unique (%)100.0%

Sample

1st rowhttps://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=540
2nd rowhttps://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5391
3rd rowhttps://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=560
4th rowhttps://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5392
5th rowhttps://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=522
ValueCountFrequency (%)
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=19&hformid=540 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=462&hformid=4764 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=344&hformid=5393 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=762 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=324&hformid=4704 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=5354 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=728 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=5355 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=732 1
 
0.1%
https://stat.molit.go.kr/portal/cate/viewchk.do?hrsid=79&hformid=5356 1
 
0.1%
Other values (706) 706
98.6%
2023-12-12T19:56:55.326514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 5012
 
10.1%
/ 3580
 
7.2%
o 3580
 
7.2%
h 2864
 
5.8%
. 2864
 
5.8%
d 2148
 
4.3%
s 2148
 
4.3%
a 2148
 
4.3%
r 2148
 
4.3%
k 1432
 
2.9%
Other values (27) 21733
43.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31504
63.4%
Other Punctuation 8592
 
17.3%
Decimal Number 4549
 
9.2%
Uppercase Letter 3580
 
7.2%
Math Symbol 1432
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 5012
15.9%
o 3580
11.4%
h 2864
 
9.1%
d 2148
 
6.8%
s 2148
 
6.8%
a 2148
 
6.8%
r 2148
 
6.8%
k 1432
 
4.5%
e 1432
 
4.5%
i 1432
 
4.5%
Other values (7) 7160
22.7%
Decimal Number
ValueCountFrequency (%)
5 851
18.7%
6 765
16.8%
2 556
12.2%
1 457
10.0%
4 413
9.1%
3 382
8.4%
8 308
 
6.8%
0 293
 
6.4%
7 277
 
6.1%
9 247
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 3580
41.7%
. 2864
33.3%
& 716
 
8.3%
? 716
 
8.3%
: 716
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
I 1432
40.0%
R 716
20.0%
F 716
20.0%
C 716
20.0%
Math Symbol
ValueCountFrequency (%)
= 1432
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35084
70.7%
Common 14573
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5012
14.3%
o 3580
 
10.2%
h 2864
 
8.2%
d 2148
 
6.1%
s 2148
 
6.1%
a 2148
 
6.1%
r 2148
 
6.1%
k 1432
 
4.1%
e 1432
 
4.1%
i 1432
 
4.1%
Other values (11) 10740
30.6%
Common
ValueCountFrequency (%)
/ 3580
24.6%
. 2864
19.7%
= 1432
 
9.8%
5 851
 
5.8%
6 765
 
5.2%
& 716
 
4.9%
? 716
 
4.9%
: 716
 
4.9%
2 556
 
3.8%
1 457
 
3.1%
Other values (6) 1920
13.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 5012
 
10.1%
/ 3580
 
7.2%
o 3580
 
7.2%
h 2864
 
5.8%
. 2864
 
5.8%
d 2148
 
4.3%
s 2148
 
4.3%
a 2148
 
4.3%
r 2148
 
4.3%
k 1432
 
2.9%
Other values (27) 21733
43.8%

Correlations

2023-12-12T19:56:55.486861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계분야통계유형통계명
통계분야1.0000.3501.000
통계유형0.3501.0001.000
통계명1.0001.0001.000
2023-12-12T19:56:55.631549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계유형통계분야
통계유형1.0000.373
통계분야0.3731.000
2023-12-12T19:56:55.766439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계분야통계유형
통계분야1.0000.373
통계유형0.3731.000

Missing values

2023-12-12T19:56:50.731283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:56:50.901335image/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

통계분야통계유형통계명통계표명랜딩페이지주소
0국토/도시승인통계건축물통계면적별 건축물 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=540
1국토/도시승인통계건축물통계면적별 건축물 현황(50만_이상_도시)https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5391
2국토/도시승인통계건축물통계소유구분별 건축물 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=560
3국토/도시승인통계건축물통계소유구분별 건축물 현황(50만_이상_도시)https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5392
4국토/도시승인통계건축물통계용도별 건축물 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=522
5국토/도시승인통계건축물통계용도별 건축물 현황(50만_이상_도시)https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5389
6국토/도시승인통계건축물통계층수별 건축물 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=524
7국토/도시승인통계건축물통계층수별 건축물 현황(50만_이상_도시)https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=19&hFormId=5390
8국토/도시승인통계건축허가 및 착공통계동수별 연면적별 건축착공현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=466&hFormId=6905
9국토/도시승인통계건축허가 및 착공통계동수별 연면적별 건축허가현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=466&hFormId=6906
통계분야통계유형통계명통계표명랜딩페이지주소
706도로/철도행정자료도로투자실적 현황도로투자실적현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=62&hFormId=986
707도로/철도행정자료도시철도수송실적_연도별도시철도수송실적_연도별 저장 목록https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=272&hFormId=6907
708도로/철도행정자료송변전설비 현황송변전설비 관련 세부사항https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=448&hFormId=4814
709도로/철도행정자료송변전설비 현황송변전설비현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=448&hFormId=5365
710도로/철도행정자료장대레일 부설 현황장대레일 부설 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=446&hFormId=4844
711도로/철도행정자료전철전력설비 현황전력설비 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=451&hFormId=4812
712도로/철도행정자료전철전력설비 현황전철설비 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=451&hFormId=4830
713도로/철도행정자료철도공사 열차 보유현황철도공사 열차 보유 현황https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=447&hFormId=4834
714도로/철도행정자료철도입체교차시설현황_연도별철도입체교차시설현황(년별)https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=303&hFormId=4744
715도로/철도행정자료철도터널현황_연도별철도터널현황_연도별https://stat.molit.go.kr/portal/cate/viewChk.do?hRsId=302&hFormId=4746