Overview

Dataset statistics

Number of variables7
Number of observations194
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory57.7 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description충청남도 소재 건설엔지니어링업 등록 현황으로 종류(세부분야),상호,대표자,회사상태,우편번호,주소 등으로 구성돼 있음
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=393&beforeMenuCd=DOM_000000201001001000&publicdatapk=15019953

Alerts

회사상태 has constant value ""Constant
구분 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:48:54.785201
Analysis finished2024-01-09 22:48:55.394808
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum1
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T07:48:55.455893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.65
Q149.25
median97.5
Q3145.75
95-th percentile184.35
Maximum194
Range193
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation56.147128
Coefficient of variation (CV)0.57586798
Kurtosis-1.2
Mean97.5
Median Absolute Deviation (MAD)48.5
Skewness0
Sum18915
Variance3152.5
MonotonicityStrictly increasing
2024-01-10T07:48:55.579104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
147 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%

종류
Categorical

Distinct7
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
100 
설계ㆍ사업관리(일반)
36 
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))
20 
설계ㆍ사업관리(측량)
20 
설계ㆍ사업관리(건설사업관리)
13 
Other values (2)
 
5

Length

Max length30
Median length30
Mean length22.871134
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
2nd row설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
3rd row설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
4th row설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
5th row설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))

Common Values

ValueCountFrequency (%)
설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함)) 100
51.5%
설계ㆍ사업관리(일반) 36
 
18.6%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외)) 20
 
10.3%
설계ㆍ사업관리(측량) 20
 
10.3%
설계ㆍ사업관리(건설사업관리) 13
 
6.7%
품질검사(특수) 3
 
1.5%
품질검사(토목,특수) 2
 
1.0%

Length

2024-01-10T07:48:55.694478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:48:56.050058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계ㆍ사업관리(설계등용역 100
24.2%
일반(계획.조사.설계 100
24.2%
포함 100
24.2%
설계ㆍ사업관리(일반 36
 
8.7%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 20
 
4.8%
제외 20
 
4.8%
설계ㆍ사업관리(측량 20
 
4.8%
설계ㆍ사업관리(건설사업관리 13
 
3.1%
품질검사(특수 3
 
0.7%
품질검사(토목,특수 2
 
0.5%

상호
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T07:48:56.236665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.108247
Min length5

Characters and Unicode

Total characters1961
Distinct characters180
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

Unique194 ?
Unique (%)100.0%

Sample

1st row주식회사 도건이엔지
2nd row가치엔지니어링
3rd row주식회사 다우
4th row주식회사 강민엔지니어링
5th row주식회사 지평엔지니어링
ValueCountFrequency (%)
주식회사 99
33.4%
주)휴먼플래닛 1
 
0.3%
주)지우엔지니어링 1
 
0.3%
아산측량설계사 1
 
0.3%
도원측량설계공사 1
 
0.3%
다원피앤디 1
 
0.3%
현대토목측량설계사무소 1
 
0.3%
건우토목측량설계공사 1
 
0.3%
주)지앤테크 1
 
0.3%
탄탄안전(주 1
 
0.3%
Other values (188) 188
63.5%
2024-01-10T07:48:56.548730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 181
 
9.2%
사 143
 
7.3%
102
 
5.2%
회 101
 
5.2%
식 101
 
5.2%
지 93
 
4.7%
엔 83
 
4.2%
( 80
 
4.1%
) 80
 
4.1%
어 56
 
2.9%
Other values (170) 941
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1699
86.6%
Space Separator 102
 
5.2%
Open Punctuation 80
 
4.1%
Close Punctuation 80
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 181
 
10.7%
사 143
 
8.4%
회 101
 
5.9%
식 101
 
5.9%
지 93
 
5.5%
엔 83
 
4.9%
어 56
 
3.3%
니 55
 
3.2%
링 55
 
3.2%
이 49
 
2.9%
Other values (167) 782
46.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1699
86.6%
Common 262
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 181
 
10.7%
사 143
 
8.4%
회 101
 
5.9%
식 101
 
5.9%
지 93
 
5.5%
엔 83
 
4.9%
어 56
 
3.3%
니 55
 
3.2%
링 55
 
3.2%
이 49
 
2.9%
Other values (167) 782
46.0%
Common
ValueCountFrequency (%)
102
38.9%
( 80
30.5%
) 80
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1699
86.6%
ASCII 262
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 181
 
10.7%
사 143
 
8.4%
회 101
 
5.9%
식 101
 
5.9%
지 93
 
5.5%
엔 83
 
4.9%
어 56
 
3.3%
니 55
 
3.2%
링 55
 
3.2%
이 49
 
2.9%
Other values (167) 782
46.0%
ASCII
ValueCountFrequency (%)
102
38.9%
( 80
30.5%
) 80
30.5%

대표자
Text

Distinct193
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T07:48:56.795514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4948454
Min length2

Characters and Unicode

Total characters678
Distinct characters148
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)99.0%

Sample

1st row정상열
2nd row전충하
3rd row박미경
4th row박창민
5th row권명희
ValueCountFrequency (%)
1명 22
 
10.0%
이종관 2
 
0.9%
김치곤 1
 
0.5%
김영혜 1
 
0.5%
유선국 1
 
0.5%
강석진 1
 
0.5%
국순창 1
 
0.5%
강신교 1
 
0.5%
정상일 1
 
0.5%
전병호 1
 
0.5%
Other values (187) 187
85.4%
2024-01-10T07:48:57.139147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 36
 
5.3%
김 29
 
4.3%
명 29
 
4.3%
25
 
3.7%
외 24
 
3.5%
정 22
 
3.2%
1 22
 
3.2%
박 18
 
2.7%
현 13
 
1.9%
경 13
 
1.9%
Other values (138) 447
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
92.8%
Space Separator 25
 
3.7%
Decimal Number 24
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
5.7%
김 29
 
4.6%
명 29
 
4.6%
외 24
 
3.8%
정 22
 
3.5%
박 18
 
2.9%
현 13
 
2.1%
경 13
 
2.1%
상 12
 
1.9%
종 11
 
1.7%
Other values (134) 422
67.1%
Decimal Number
ValueCountFrequency (%)
1 22
91.7%
3 1
 
4.2%
4 1
 
4.2%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
92.8%
Common 49
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
5.7%
김 29
 
4.6%
명 29
 
4.6%
외 24
 
3.8%
정 22
 
3.5%
박 18
 
2.9%
현 13
 
2.1%
경 13
 
2.1%
상 12
 
1.9%
종 11
 
1.7%
Other values (134) 422
67.1%
Common
ValueCountFrequency (%)
25
51.0%
1 22
44.9%
3 1
 
2.0%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
92.8%
ASCII 49
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 36
 
5.7%
김 29
 
4.6%
명 29
 
4.6%
외 24
 
3.8%
정 22
 
3.5%
박 18
 
2.9%
현 13
 
2.1%
경 13
 
2.1%
상 12
 
1.9%
종 11
 
1.7%
Other values (134) 422
67.1%
ASCII
ValueCountFrequency (%)
25
51.0%
1 22
44.9%
3 1
 
2.0%
4 1
 
2.0%

회사상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
정상
194 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 194
100.0%

Length

2024-01-10T07:48:57.255467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:48:57.336610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 194
100.0%

우편번호
Text

Distinct149
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T07:48:57.606304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5257732
Min length5

Characters and Unicode

Total characters1072
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)61.9%

Sample

1st row32244
2nd row32560
3rd row31163
4th row31774
5th row33633
ValueCountFrequency (%)
314-060 6
 
3.1%
31774 5
 
2.6%
31163 4
 
2.1%
32826 4
 
2.1%
31198 4
 
2.1%
32244 3
 
1.5%
33434 3
 
1.5%
32622 3
 
1.5%
31470 3
 
1.5%
31156 3
 
1.5%
Other values (135) 156
80.4%
2024-01-10T07:48:58.030708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 286
26.7%
1 158
14.7%
2 111
 
10.4%
4 102
 
9.5%
0 94
 
8.8%
6 66
 
6.2%
5 60
 
5.6%
9 51
 
4.8%
8 51
 
4.8%
7 44
 
4.1%
Other values (2) 49
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1023
95.4%
Dash Punctuation 41
 
3.8%
Space Separator 8
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 286
28.0%
1 158
15.4%
2 111
 
10.9%
4 102
 
10.0%
0 94
 
9.2%
6 66
 
6.5%
5 60
 
5.9%
9 51
 
5.0%
8 51
 
5.0%
7 44
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 286
26.7%
1 158
14.7%
2 111
 
10.4%
4 102
 
9.5%
0 94
 
8.8%
6 66
 
6.2%
5 60
 
5.6%
9 51
 
4.8%
8 51
 
4.8%
7 44
 
4.1%
Other values (2) 49
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 286
26.7%
1 158
14.7%
2 111
 
10.4%
4 102
 
9.5%
0 94
 
8.8%
6 66
 
6.2%
5 60
 
5.6%
9 51
 
4.8%
8 51
 
4.8%
7 44
 
4.1%
Other values (2) 49
 
4.6%

주소
Text

Distinct190
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T07:48:58.292002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length29.407216
Min length17

Characters and Unicode

Total characters5705
Distinct characters260
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)96.4%

Sample

1st row충청남도 홍성군 홍성읍 대학길 25, 310호
2nd row충청남도 공주시 우금티로 733, 2층 201호(옥룡동)
3rd row충청남도 천안시 서북구 검은들3길 46, 8층 803-2(817)호 (불당동, 미래시티빌딩)
4th row충청남도 당진시 시청2로 6-30, 2층 201호(수청동)
5th row충청남도 서천군 서천읍 서문로 128, 103호
ValueCountFrequency (%)
충청남도 192
 
16.9%
천안시 47
 
4.1%
서북구 33
 
2.9%
공주시 21
 
1.8%
아산시 19
 
1.7%
2층 17
 
1.5%
보령시 16
 
1.4%
당진시 16
 
1.4%
동남구 14
 
1.2%
서산시 14
 
1.2%
Other values (509) 749
65.8%
2024-01-10T07:48:58.681521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
961
 
16.8%
청 236
 
4.1%
1 221
 
3.9%
남 216
 
3.8%
충 196
 
3.4%
도 195
 
3.4%
시 171
 
3.0%
, 171
 
3.0%
동 164
 
2.9%
2 162
 
2.8%
Other values (250) 3012
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3268
57.3%
Decimal Number 973
 
17.1%
Space Separator 961
 
16.8%
Other Punctuation 171
 
3.0%
Close Punctuation 139
 
2.4%
Open Punctuation 139
 
2.4%
Dash Punctuation 47
 
0.8%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 236
 
7.2%
남 216
 
6.6%
충 196
 
6.0%
도 195
 
6.0%
시 171
 
5.2%
동 164
 
5.0%
로 134
 
4.1%
호 92
 
2.8%
산 91
 
2.8%
천 84
 
2.6%
Other values (229) 1689
51.7%
Decimal Number
ValueCountFrequency (%)
1 221
22.7%
2 162
16.6%
0 117
12.0%
3 116
11.9%
4 95
9.8%
6 67
 
6.9%
5 60
 
6.2%
8 52
 
5.3%
7 49
 
5.0%
9 34
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
T 1
14.3%
R 1
14.3%
O 1
14.3%
C 1
14.3%
E 1
14.3%
Space Separator
ValueCountFrequency (%)
961
100.0%
Other Punctuation
ValueCountFrequency (%)
, 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3268
57.3%
Common 2430
42.6%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 236
 
7.2%
남 216
 
6.6%
충 196
 
6.0%
도 195
 
6.0%
시 171
 
5.2%
동 164
 
5.0%
로 134
 
4.1%
호 92
 
2.8%
산 91
 
2.8%
천 84
 
2.6%
Other values (229) 1689
51.7%
Common
ValueCountFrequency (%)
961
39.5%
1 221
 
9.1%
, 171
 
7.0%
2 162
 
6.7%
) 139
 
5.7%
( 139
 
5.7%
0 117
 
4.8%
3 116
 
4.8%
4 95
 
3.9%
6 67
 
2.8%
Other values (5) 242
 
10.0%
Latin
ValueCountFrequency (%)
S 2
28.6%
T 1
14.3%
R 1
14.3%
O 1
14.3%
C 1
14.3%
E 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3268
57.3%
ASCII 2437
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
961
39.4%
1 221
 
9.1%
, 171
 
7.0%
2 162
 
6.6%
) 139
 
5.7%
( 139
 
5.7%
0 117
 
4.8%
3 116
 
4.8%
4 95
 
3.9%
6 67
 
2.7%
Other values (11) 249
 
10.2%
Hangul
ValueCountFrequency (%)
청 236
 
7.2%
남 216
 
6.6%
충 196
 
6.0%
도 195
 
6.0%
시 171
 
5.2%
동 164
 
5.0%
로 134
 
4.1%
호 92
 
2.8%
산 91
 
2.8%
천 84
 
2.6%
Other values (229) 1689
51.7%

Interactions

2024-01-10T07:48:55.152610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:48:58.761804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류
구분1.0000.461
종류0.4611.000
2024-01-10T07:48:58.839470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류
구분1.0000.252
종류0.2521.000

Missing values

2024-01-10T07:48:55.262734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:48:55.356729image/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

구분종류상호대표자회사상태우편번호주소
01설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 도건이엔지정상열정상32244충청남도 홍성군 홍성읍 대학길 25, 310호
12설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))가치엔지니어링전충하정상32560충청남도 공주시 우금티로 733, 2층 201호(옥룡동)
23설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 다우박미경정상31163충청남도 천안시 서북구 검은들3길 46, 8층 803-2(817)호 (불당동, 미래시티빌딩)
34설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 강민엔지니어링박창민정상31774충청남도 당진시 시청2로 6-30, 2층 201호(수청동)
45설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 지평엔지니어링권명희정상33633충청남도 서천군 서천읍 서문로 128, 103호
56설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 청춘윤기상정상31068충청남도 천안시 동남구 화령길 62, 202호(원성동)
67설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 에스지엔지니어링최석기정상31774충청남도 당진시 시청2로 6-5, 202호(수청동, 연수정)
78설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))더본테크 주식회사이종혁외 1명정상31521충청남도 아산시 온천대로 1555, 1201호(온천동, 모노팰리스)
89설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 그리네박재범정상31981충청남도 서산시 시장1로 9, 지하1층(동문동)
910품질검사(특수)서울검사 주식회사 서부사무소강신태정상31728충청남도 당진시 송악읍 중흥1길 51, 상가동 지하 1층 비 101호(세종그랑시아)
구분종류상호대표자회사상태우편번호주소
184185설계ㆍ사업관리(일반)(주)기산엔지니어링강도묵정상32564충청남도 공주시 제민천2길 54, 102호(중학동)
185186설계ㆍ사업관리(일반)(주)한경기술공사윤여삼정상320-030충청남도 논산시 시민로 184번길 3(내동)
186187설계ㆍ사업관리(일반)(주)세일종합기술공사이호순외 1명정상330-160충청남도 천안시 동남구 만남로72, 405호(신부동, 삼부르네상스홈)
187188설계ㆍ사업관리(일반)(주)우경엔지니어링박일양정상33449충청남도 보령시 대천방조제로 68 (대천동)
188189설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))(주)경일종합기술공사유정한정상330-943충청남도 천안시 동남구 만남로 72, 406호 (신부동, 삼부르네상스오피스텔)
189190품질검사(토목,특수)(주)한국건설기술연구소배병렬정상331-300충청남도 천안시 서북구 성성1길 119 (성성동)
190191설계ㆍ사업관리(일반)(주)양지양계승정상32549충청남도 공주시 대통2길 18(봉황동)
191192설계ㆍ사업관리(일반)(주)경동엔지니어링강재홍외 1명정상431-811충청남도 천안시 동남구 만남로 72 1514호(신부동, 삼부르네상스홈)
192193설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))좋은건축사사무소김규린정상33465충청남도 보령시 남대천로 21, 5층(대천동, 건하빌딩)
193194설계ㆍ사업관리(일반)(주)부림기술단이정갑정상320-802충청남도 논산시 계백로 1034