Overview

Dataset statistics

Number of variables6
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory50.6 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description공공데이터 분쟁조정 사건에 대한 데이터명, 피신청기관명, 조정결과 등의 정보를 연도별로 제공하고, 상세페이지 URL을 제공하여 사건 관련 상세 정보를 조회할 수 있도록 안내
Author한국지능정보사회진흥원
URLhttps://www.data.go.kr/data/15120685/fileData.do

Alerts

연번 has unique valuesUnique
사건번호 has unique valuesUnique
게시물URL has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:47:33.572408
Analysis finished2024-03-23 04:47:35.872603
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-03-23T04:47:36.140804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2024-03-23T04:47:36.758272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

사건번호
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-23T04:47:37.481684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.2926829
Min length8

Characters and Unicode

Total characters680
Distinct characters20
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

Unique82 ?
Unique (%)100.0%

Sample

1st row2014-002
2nd row2014-003
3rd row2014-006
4th row2014-007
5th row2014-008
ValueCountFrequency (%)
2014-002 1
 
1.2%
2020-010 1
 
1.2%
2021-002 1
 
1.2%
2021-001 1
 
1.2%
2020-029 1
 
1.2%
2020-027 1
 
1.2%
2020-020 1
 
1.2%
2020-015 1
 
1.2%
2020-012 1
 
1.2%
2020-011 1
 
1.2%
Other values (76) 76
88.4%
2024-03-23T04:47:38.773155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 220
32.4%
2 156
22.9%
1 98
14.4%
- 82
 
12.1%
5 21
 
3.1%
4 19
 
2.8%
8 19
 
2.8%
6 16
 
2.4%
3 13
 
1.9%
7 12
 
1.8%
Other values (10) 24
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 585
86.0%
Dash Punctuation 82
 
12.1%
Other Letter 5
 
0.7%
Space Separator 4
 
0.6%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 220
37.6%
2 156
26.7%
1 98
16.8%
5 21
 
3.6%
4 19
 
3.2%
8 19
 
3.2%
6 16
 
2.7%
3 13
 
2.2%
7 12
 
2.1%
9 11
 
1.9%
Other Letter
ValueCountFrequency (%)
병 1
20.0%
합 1
20.0%
등 1
20.0%
건 1
20.0%
및 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 675
99.3%
Hangul 5
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 220
32.6%
2 156
23.1%
1 98
14.5%
- 82
 
12.1%
5 21
 
3.1%
4 19
 
2.8%
8 19
 
2.8%
6 16
 
2.4%
3 13
 
1.9%
7 12
 
1.8%
Other values (5) 19
 
2.8%
Hangul
ValueCountFrequency (%)
병 1
20.0%
합 1
20.0%
등 1
20.0%
건 1
20.0%
및 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 675
99.3%
Hangul 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 220
32.6%
2 156
23.1%
1 98
14.5%
- 82
 
12.1%
5 21
 
3.1%
4 19
 
2.8%
8 19
 
2.8%
6 16
 
2.4%
3 13
 
1.9%
7 12
 
1.8%
Other values (5) 19
 
2.8%
Hangul
ValueCountFrequency (%)
병 1
20.0%
합 1
20.0%
등 1
20.0%
건 1
20.0%
및 1
20.0%

제목
Text

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-23T04:47:39.508437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.52439
Min length11

Characters and Unicode

Total characters1601
Distinct characters223
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)92.7%

Sample

1st row한국산업기술평가관리원 연구보고서 사건
2nd row국토교통부 도로이정표 사건
3rd row한국거래소 주식정보 사건
4th row한국연구재단 참고문헌정보 사건
5th row건강보험심사평가원 특정의약품 보험청구실적 사건
ValueCountFrequency (%)
사건 76
22.6%
데이터 30
 
8.9%
국토교통부 20
 
6.0%
발간물 12
 
3.6%
자동차 7
 
2.1%
api 4
 
1.2%
및 4
 
1.2%
국민건강보험공단 4
 
1.2%
등 4
 
1.2%
한국연구재단 3
 
0.9%
Other values (146) 172
51.2%
2024-03-23T04:47:40.861765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
15.9%
사 89
 
5.6%
건 87
 
5.4%
국 60
 
3.7%
이 52
 
3.2%
터 48
 
3.0%
데 47
 
2.9%
정 36
 
2.2%
보 35
 
2.2%
부 31
 
1.9%
Other values (213) 862
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
80.8%
Space Separator 254
 
15.9%
Uppercase Letter 41
 
2.6%
Lowercase Letter 6
 
0.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 89
 
6.9%
건 87
 
6.7%
국 60
 
4.6%
이 52
 
4.0%
터 48
 
3.7%
데 47
 
3.6%
정 36
 
2.8%
보 35
 
2.7%
부 31
 
2.4%
공 30
 
2.3%
Other values (192) 779
60.2%
Uppercase Letter
ValueCountFrequency (%)
A 8
19.5%
P 7
17.1%
I 7
17.1%
K 4
9.8%
X 3
 
7.3%
O 3
 
7.3%
T 3
 
7.3%
R 3
 
7.3%
D 2
 
4.9%
B 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 1
16.7%
y 1
16.7%
n 1
16.7%
r 1
16.7%
e 1
16.7%
p 1
16.7%
Space Separator
ValueCountFrequency (%)
254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
80.8%
Common 260
 
16.2%
Latin 47
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 89
 
6.9%
건 87
 
6.7%
국 60
 
4.6%
이 52
 
4.0%
터 48
 
3.7%
데 47
 
3.6%
정 36
 
2.8%
보 35
 
2.7%
부 31
 
2.4%
공 30
 
2.3%
Other values (192) 779
60.2%
Latin
ValueCountFrequency (%)
A 8
17.0%
P 7
14.9%
I 7
14.9%
K 4
8.5%
X 3
 
6.4%
O 3
 
6.4%
T 3
 
6.4%
R 3
 
6.4%
D 2
 
4.3%
a 1
 
2.1%
Other values (6) 6
12.8%
Common
ValueCountFrequency (%)
254
97.7%
( 2
 
0.8%
) 2
 
0.8%
- 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1293
80.8%
ASCII 307
 
19.2%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
82.7%
A 8
 
2.6%
P 7
 
2.3%
I 7
 
2.3%
K 4
 
1.3%
X 3
 
1.0%
O 3
 
1.0%
T 3
 
1.0%
R 3
 
1.0%
( 2
 
0.7%
Other values (11) 13
 
4.2%
Hangul
ValueCountFrequency (%)
사 89
 
6.9%
건 87
 
6.7%
국 60
 
4.6%
이 52
 
4.0%
터 48
 
3.7%
데 47
 
3.6%
정 36
 
2.8%
보 35
 
2.7%
부 31
 
2.4%
공 30
 
2.3%
Other values (191) 778
60.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

피신청기관
Text

Distinct44
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-23T04:47:41.501720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.097561
Min length3

Characters and Unicode

Total characters500
Distinct characters113
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)36.6%

Sample

1st row한국산업기술평가관리원
2nd row국토교통부
3rd row한국거래소
4th row한국연구재단
5th row건강보험심사평가원
ValueCountFrequency (%)
국토교통부 21
23.9%
국민건강보험공단 4
 
4.5%
국세청 3
 
3.4%
한국철도공사 3
 
3.4%
소방청 3
 
3.4%
한국연구재단 3
 
3.4%
대법원 2
 
2.3%
기획재정부 2
 
2.3%
한국감정원 2
 
2.3%
한국조세재정연구원 2
 
2.3%
Other values (38) 43
48.9%
2024-03-23T04:47:42.848983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 55
 
11.0%
부 28
 
5.6%
한 24
 
4.8%
교 24
 
4.8%
원 23
 
4.6%
통 22
 
4.4%
토 21
 
4.2%
공 13
 
2.6%
단 12
 
2.4%
보 11
 
2.2%
Other values (103) 267
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
97.4%
Space Separator 6
 
1.2%
Uppercase Letter 5
 
1.0%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 55
 
11.3%
부 28
 
5.7%
한 24
 
4.9%
교 24
 
4.9%
원 23
 
4.7%
통 22
 
4.5%
토 21
 
4.3%
공 13
 
2.7%
단 12
 
2.5%
보 11
 
2.3%
Other values (95) 254
52.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
K 1
20.0%
O 1
20.0%
T 1
20.0%
R 1
20.0%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
97.4%
Common 8
 
1.6%
Latin 5
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 55
 
11.3%
부 28
 
5.7%
한 24
 
4.9%
교 24
 
4.9%
원 23
 
4.7%
통 22
 
4.5%
토 21
 
4.3%
공 13
 
2.7%
단 12
 
2.5%
보 11
 
2.3%
Other values (95) 254
52.2%
Latin
ValueCountFrequency (%)
A 1
20.0%
K 1
20.0%
O 1
20.0%
T 1
20.0%
R 1
20.0%
Common
ValueCountFrequency (%)
6
75.0%
6 1
 
12.5%
1 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
97.4%
ASCII 13
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 55
 
11.3%
부 28
 
5.7%
한 24
 
4.9%
교 24
 
4.9%
원 23
 
4.7%
통 22
 
4.5%
토 21
 
4.3%
공 13
 
2.7%
단 12
 
2.5%
보 11
 
2.3%
Other values (95) 254
52.2%
ASCII
ValueCountFrequency (%)
6
46.2%
6 1
 
7.7%
1 1
 
7.7%
A 1
 
7.7%
K 1
 
7.7%
O 1
 
7.7%
T 1
 
7.7%
R 1
 
7.7%

조정결과
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
조정성립
61 
조정불성립
21 

Length

Max length5
Median length4
Mean length4.2560976
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조정성립 61
74.4%
조정불성립 21
 
25.6%

Length

2024-03-23T04:47:43.362261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:47:43.828180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조정성립 61
74.4%
조정불성립 21
 
25.6%

게시물URL
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-23T04:47:44.497537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length38.634146
Min length38

Characters and Unicode

Total characters3168
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st rowhttps://odmc.or.kr/archive/mdatCase/28
2nd rowhttps://odmc.or.kr/archive/mdatCase/29
3rd rowhttps://odmc.or.kr/archive/mdatCase/32
4th rowhttps://odmc.or.kr/archive/mdatCase/33
5th rowhttps://odmc.or.kr/archive/mdatCase/34
ValueCountFrequency (%)
https://odmc.or.kr/archive/mdatcase/28 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/213 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/198 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/197 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/196 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/184 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/182 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/175 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/170 1
 
1.2%
https://odmc.or.kr/archive/mdatcase/167 1
 
1.2%
Other values (72) 72
87.8%
2024-03-23T04:47:45.800029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 410
 
12.9%
t 246
 
7.8%
r 246
 
7.8%
a 246
 
7.8%
h 164
 
5.2%
s 164
 
5.2%
e 164
 
5.2%
o 164
 
5.2%
d 164
 
5.2%
m 164
 
5.2%
Other values (18) 1036
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2214
69.9%
Other Punctuation 656
 
20.7%
Decimal Number 216
 
6.8%
Uppercase Letter 82
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 246
11.1%
r 246
11.1%
a 246
11.1%
h 164
7.4%
s 164
7.4%
e 164
7.4%
o 164
7.4%
d 164
7.4%
m 164
7.4%
c 164
7.4%
Other values (4) 328
14.8%
Decimal Number
ValueCountFrequency (%)
1 44
20.4%
2 38
17.6%
6 25
11.6%
3 22
10.2%
4 17
 
7.9%
5 16
 
7.4%
8 14
 
6.5%
0 14
 
6.5%
9 14
 
6.5%
7 12
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 410
62.5%
. 164
 
25.0%
: 82
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2296
72.5%
Common 872
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 246
10.7%
r 246
10.7%
a 246
10.7%
h 164
 
7.1%
s 164
 
7.1%
e 164
 
7.1%
o 164
 
7.1%
d 164
 
7.1%
m 164
 
7.1%
c 164
 
7.1%
Other values (5) 410
17.9%
Common
ValueCountFrequency (%)
/ 410
47.0%
. 164
 
18.8%
: 82
 
9.4%
1 44
 
5.0%
2 38
 
4.4%
6 25
 
2.9%
3 22
 
2.5%
4 17
 
1.9%
5 16
 
1.8%
8 14
 
1.6%
Other values (3) 40
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 410
 
12.9%
t 246
 
7.8%
r 246
 
7.8%
a 246
 
7.8%
h 164
 
5.2%
s 164
 
5.2%
e 164
 
5.2%
o 164
 
5.2%
d 164
 
5.2%
m 164
 
5.2%
Other values (18) 1036
32.7%

Interactions

2024-03-23T04:47:34.938500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:47:46.211229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사건번호제목피신청기관조정결과게시물URL
연번1.0001.0000.9350.4690.4361.000
사건번호1.0001.0001.0001.0001.0001.000
제목0.9351.0001.0000.9930.0001.000
피신청기관0.4691.0000.9931.0000.5531.000
조정결과0.4361.0000.0000.5531.0001.000
게시물URL1.0001.0001.0001.0001.0001.000
2024-03-23T04:47:46.660197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조정결과
연번1.0000.316
조정결과0.3161.000

Missing values

2024-03-23T04:47:35.332804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:47:35.671672image/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

연번사건번호제목피신청기관조정결과게시물URL
012014-002한국산업기술평가관리원 연구보고서 사건한국산업기술평가관리원조정성립https://odmc.or.kr/archive/mdatCase/28
122014-003국토교통부 도로이정표 사건국토교통부조정성립https://odmc.or.kr/archive/mdatCase/29
232014-006한국거래소 주식정보 사건한국거래소조정성립https://odmc.or.kr/archive/mdatCase/32
342014-007한국연구재단 참고문헌정보 사건한국연구재단조정성립https://odmc.or.kr/archive/mdatCase/33
452014-008건강보험심사평가원 특정의약품 보험청구실적 사건건강보험심사평가원조정성립https://odmc.or.kr/archive/mdatCase/34
562014-010영광군 개별공시지가 사건영광군조정성립https://odmc.or.kr/archive/mdatCase/36
672014-014국토교통부 자동차정비이력 사건국토교통부조정성립https://odmc.or.kr/archive/mdatCase/40
782014-015한국고용정보원 발간물 사건한국고용정보원조정성립https://odmc.or.kr/archive/mdatCase/41
892014-016국토교통부 공동주택 공시가격 사건국토교통부조정성립https://odmc.or.kr/archive/mdatCase/42
9102015-001한국조세재정연구원 발간물 사건한국조세재정연구원조정성립https://odmc.or.kr/archive/mdatCase/44
연번사건번호제목피신청기관조정결과게시물URL
72732022-011국토교통부 자동차등록 데이터(API) 사건국토교통부조정성립https://odmc.or.kr/archive/mdatCase/256
73742022-015국민건강보험공단 의약품통계데이터 사건국민건강보험공단조정성립https://odmc.or.kr/archive/mdatCase/267
74752022-018한국교통안전공단 발간물 데이터한국교통안전공단조정성립https://odmc.or.kr/archive/mdatCase/263
75762022-019한국조세재정연구원 발간물 데이터 사건한국조세재정연구원조정불성립https://odmc.or.kr/archive/mdatCase/260
76772022-021소방청 구급활동데이터 사건소방청조정성립https://odmc.or.kr/archive/mdatCase/266
77782022-025국토교통부 발간물 데이터국토교통부조정불성립https://odmc.or.kr/archive/mdatCase/264
78792022-031국토교통부 건축물 전유부분 소유자연혁 데이터 사건국토교통부조정불성립https://odmc.or.kr/archive/mdatCase/257
79802022-040한국철도공사 여객열차운행데이터 사건한국철도공사조정성립https://odmc.or.kr/archive/mdatCase/265
80812022-055한국산업안전보건공단 발간물 데이터 사건한국산업안전보건공단조정불성립https://odmc.or.kr/archive/mdatCase/268
81822023-008국토교통부 자동차말소등록데이터 사건국토교통부조정성립https://odmc.or.kr/archive/mdatCase/302