Overview

Dataset statistics

Number of variables7
Number of observations196
Missing cells4
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 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 is highly imbalanced (81.6%)Imbalance
우편번호 has 2 (1.0%) missing valuesMissing
구분 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:48:49.135785
Analysis finished2024-01-09 22:48:50.417539
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-10T07:48:50.548350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q149.75
median98.5
Q3147.25
95-th percentile186.25
Maximum196
Range195
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation56.72448
Coefficient of variation (CV)0.57588305
Kurtosis-1.2
Mean98.5
Median Absolute Deviation (MAD)49
Skewness0
Sum19306
Variance3217.6667
MonotonicityStrictly increasing
2024-01-10T07:48:50.735271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 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%
133 1
 
0.5%
134 1
 
0.5%
Other values (186) 186
94.9%
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 (%)
196 1
0.5%
195 1
0.5%
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%

종류
Categorical

Distinct7
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
96 
설계ㆍ사업관리(일반)
43 
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))
20 
설계ㆍ사업관리(측량)
20 
설계ㆍ사업관리(건설사업관리)
13 
Other values (2)
 
4

Length

Max length30
Median length29
Mean length22.392857
Min length8

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row설계ㆍ사업관리(일반)
2nd row설계ㆍ사업관리(일반)
3rd row설계ㆍ사업관리(일반)
4th row설계ㆍ사업관리(일반)
5th row설계ㆍ사업관리(일반)

Common Values

ValueCountFrequency (%)
설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함)) 96
49.0%
설계ㆍ사업관리(일반) 43
21.9%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외)) 20
 
10.2%
설계ㆍ사업관리(측량) 20
 
10.2%
설계ㆍ사업관리(건설사업관리) 13
 
6.6%
품질검사(토목,특수) 3
 
1.5%
품질검사(특수) 1
 
0.5%

Length

2024-01-10T07:48:50.882335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:48:50.985564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계ㆍ사업관리(설계등용역 96
23.5%
일반(계획.조사.설계 96
23.5%
포함 96
23.5%
설계ㆍ사업관리(일반 43
10.5%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 20
 
4.9%
제외 20
 
4.9%
설계ㆍ사업관리(측량 20
 
4.9%
설계ㆍ사업관리(건설사업관리 13
 
3.2%
품질검사(토목,특수 3
 
0.7%
품질검사(특수 1
 
0.2%

상호
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T07:48:51.184845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.112245
Min length5

Characters and Unicode

Total characters1982
Distinct characters190
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)100.0%

Sample

1st row(주)경동엔지니어링
2nd row(주)양지
3rd row(주)한경기술공사
4th row(주)세일종합기술공사
5th row(주)우경엔지니어링
ValueCountFrequency (%)
주식회사 84
29.7%
주)경동엔지니어링 1
 
0.4%
대륙엔지니어링 1
 
0.4%
영신 1
 
0.4%
주)지오토피아 1
 
0.4%
주)한국시설물안전연구원 1
 
0.4%
더원이엔지 1
 
0.4%
주)한세지반엔지니어링 1
 
0.4%
주)유림엔지니어링 1
 
0.4%
주)광명토건 1
 
0.4%
Other values (190) 190
67.1%
2024-01-10T07:48:51.504790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 185
 
9.3%
사 128
 
6.5%
( 99
 
5.0%
) 99
 
5.0%
지 99
 
5.0%
87
 
4.4%
회 87
 
4.4%
식 86
 
4.3%
엔 86
 
4.3%
어 62
 
3.1%
Other values (180) 964
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1694
85.5%
Open Punctuation 99
 
5.0%
Close Punctuation 99
 
5.0%
Space Separator 87
 
4.4%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 185
 
10.9%
사 128
 
7.6%
지 99
 
5.8%
회 87
 
5.1%
식 86
 
5.1%
엔 86
 
5.1%
어 62
 
3.7%
링 61
 
3.6%
니 61
 
3.6%
이 46
 
2.7%
Other values (174) 793
46.8%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
G 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1694
85.5%
Common 285
 
14.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 185
 
10.9%
사 128
 
7.6%
지 99
 
5.8%
회 87
 
5.1%
식 86
 
5.1%
엔 86
 
5.1%
어 62
 
3.7%
링 61
 
3.6%
니 61
 
3.6%
이 46
 
2.7%
Other values (174) 793
46.8%
Common
ValueCountFrequency (%)
( 99
34.7%
) 99
34.7%
87
30.5%
Latin
ValueCountFrequency (%)
N 1
33.3%
G 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1694
85.5%
ASCII 288
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 185
 
10.9%
사 128
 
7.6%
지 99
 
5.8%
회 87
 
5.1%
식 86
 
5.1%
엔 86
 
5.1%
어 62
 
3.7%
링 61
 
3.6%
니 61
 
3.6%
이 46
 
2.7%
Other values (174) 793
46.8%
ASCII
ValueCountFrequency (%)
( 99
34.4%
) 99
34.4%
87
30.2%
N 1
 
0.3%
G 1
 
0.3%
E 1
 
0.3%

대표자
Text

Distinct194
Distinct (%)99.5%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-01-10T07:48:51.771047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4461538
Min length2

Characters and Unicode

Total characters672
Distinct characters141
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

Unique193 ?
Unique (%)99.0%

Sample

1st row강재홍외 1명
2nd row양계승
3rd row윤여삼
4th row이호순외 1명
5th row박일양
ValueCountFrequency (%)
1명 21
 
9.7%
이태우 2
 
0.9%
심진수 1
 
0.5%
김종길 1
 
0.5%
조영수 1
 
0.5%
백인식외 1
 
0.5%
임국묵 1
 
0.5%
서명환 1
 
0.5%
임정빈 1
 
0.5%
정미화 1
 
0.5%
Other values (186) 186
85.7%
2024-01-10T07:48:52.196922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 35
 
5.2%
이 34
 
5.1%
명 27
 
4.0%
22
 
3.3%
외 22
 
3.3%
1 21
 
3.1%
정 20
 
3.0%
박 18
 
2.7%
현 15
 
2.2%
영 14
 
2.1%
Other values (131) 444
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
93.5%
Space Separator 22
 
3.3%
Decimal Number 22
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 35
 
5.6%
이 34
 
5.4%
명 27
 
4.3%
외 22
 
3.5%
정 20
 
3.2%
박 18
 
2.9%
현 15
 
2.4%
영 14
 
2.2%
종 11
 
1.8%
수 11
 
1.8%
Other values (128) 421
67.0%
Decimal Number
ValueCountFrequency (%)
1 21
95.5%
4 1
 
4.5%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
93.5%
Common 44
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 35
 
5.6%
이 34
 
5.4%
명 27
 
4.3%
외 22
 
3.5%
정 20
 
3.2%
박 18
 
2.9%
현 15
 
2.4%
영 14
 
2.2%
종 11
 
1.8%
수 11
 
1.8%
Other values (128) 421
67.0%
Common
ValueCountFrequency (%)
22
50.0%
1 21
47.7%
4 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
93.5%
ASCII 44
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 35
 
5.6%
이 34
 
5.4%
명 27
 
4.3%
외 22
 
3.5%
정 20
 
3.2%
박 18
 
2.9%
현 15
 
2.4%
영 14
 
2.2%
종 11
 
1.8%
수 11
 
1.8%
Other values (128) 421
67.0%
ASCII
ValueCountFrequency (%)
22
50.0%
1 21
47.7%
4 1
 
2.3%

회사상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
정상
184 
정상[업종변경]
 
7
정상[흡수합병]
 
3
정상[양도양수]
 
1
<NA>
 
1

Length

Max length8
Median length2
Mean length2.3469388
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 184
93.9%
정상[업종변경] 7
 
3.6%
정상[흡수합병] 3
 
1.5%
정상[양도양수] 1
 
0.5%
<NA> 1
 
0.5%

Length

2024-01-10T07:48:52.320878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:48:52.414663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 184
93.9%
정상[업종변경 7
 
3.6%
정상[흡수합병 3
 
1.5%
정상[양도양수 1
 
0.5%
na 1
 
0.5%

우편번호
Text

MISSING 

Distinct148
Distinct (%)76.3%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2024-01-10T07:48:52.640447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.742268
Min length5

Characters and Unicode

Total characters1114
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)61.3%

Sample

1st row431-811
2nd row32549
3rd row320-030
4th row330-160
5th row33449
ValueCountFrequency (%)
314-060 7
 
3.6%
32622 4
 
2.1%
331-962 4
 
2.1%
31511 4
 
2.1%
31774 4
 
2.1%
356-806 3
 
1.5%
32826 3
 
1.5%
343-843 3
 
1.5%
331-982 3
 
1.5%
32244 2
 
1.0%
Other values (138) 157
80.9%
2024-01-10T07:48:53.005841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 284
25.5%
1 145
13.0%
2 128
11.5%
0 109
 
9.8%
4 94
 
8.4%
- 72
 
6.5%
6 66
 
5.9%
5 60
 
5.4%
9 57
 
5.1%
8 54
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1042
93.5%
Dash Punctuation 72
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 284
27.3%
1 145
13.9%
2 128
12.3%
0 109
 
10.5%
4 94
 
9.0%
6 66
 
6.3%
5 60
 
5.8%
9 57
 
5.5%
8 54
 
5.2%
7 45
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 284
25.5%
1 145
13.0%
2 128
11.5%
0 109
 
9.8%
4 94
 
8.4%
- 72
 
6.5%
6 66
 
5.9%
5 60
 
5.4%
9 57
 
5.1%
8 54
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 284
25.5%
1 145
13.0%
2 128
11.5%
0 109
 
9.8%
4 94
 
8.4%
- 72
 
6.5%
6 66
 
5.9%
5 60
 
5.4%
9 57
 
5.1%
8 54
 
4.8%

주소
Text

Distinct192
Distinct (%)98.5%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-01-10T07:48:53.299036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length28.210256
Min length18

Characters and Unicode

Total characters5501
Distinct characters250
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

Unique190 ?
Unique (%)97.4%

Sample

1st row충청남도 천안시 동남구 만남로 72 1514호(신부동, 삼부르네상스홈)
2nd row충청남도 공주시 제민천1길 55(봉황동)
3rd row충청남도 논산시 시민로 184번길 3(내동)
4th row충청남도 천안시 동남구 만남로72, 405호(신부동, 삼부르네상스홈)
5th row충청남도 보령시 대천방조제로 68 (대천동)
ValueCountFrequency (%)
충청남도 193
 
17.2%
천안시 43
 
3.8%
서북구 26
 
2.3%
공주시 23
 
2.1%
아산시 19
 
1.7%
2층 19
 
1.7%
당진시 18
 
1.6%
동남구 17
 
1.5%
서산시 15
 
1.3%
보령시 12
 
1.1%
Other values (484) 734
65.6%
2024-01-10T07:48:53.717206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
936
 
17.0%
청 230
 
4.2%
남 217
 
3.9%
충 198
 
3.6%
1 198
 
3.6%
도 195
 
3.5%
시 166
 
3.0%
동 153
 
2.8%
2 143
 
2.6%
, 140
 
2.5%
Other values (240) 2925
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3201
58.2%
Space Separator 936
 
17.0%
Decimal Number 908
 
16.5%
Other Punctuation 140
 
2.5%
Open Punctuation 132
 
2.4%
Close Punctuation 132
 
2.4%
Dash Punctuation 45
 
0.8%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 230
 
7.2%
남 217
 
6.8%
충 198
 
6.2%
도 195
 
6.1%
시 166
 
5.2%
동 153
 
4.8%
로 138
 
4.3%
산 101
 
3.2%
길 83
 
2.6%
천 75
 
2.3%
Other values (219) 1645
51.4%
Decimal Number
ValueCountFrequency (%)
1 198
21.8%
2 143
15.7%
3 112
12.3%
0 102
11.2%
4 90
9.9%
5 69
 
7.6%
6 66
 
7.3%
7 52
 
5.7%
8 40
 
4.4%
9 36
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
E 1
14.3%
T 1
14.3%
R 1
14.3%
O 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
936
100.0%
Other Punctuation
ValueCountFrequency (%)
, 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3201
58.2%
Common 2293
41.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 230
 
7.2%
남 217
 
6.8%
충 198
 
6.2%
도 195
 
6.1%
시 166
 
5.2%
동 153
 
4.8%
로 138
 
4.3%
산 101
 
3.2%
길 83
 
2.6%
천 75
 
2.3%
Other values (219) 1645
51.4%
Common
ValueCountFrequency (%)
936
40.8%
1 198
 
8.6%
2 143
 
6.2%
, 140
 
6.1%
( 132
 
5.8%
) 132
 
5.8%
3 112
 
4.9%
0 102
 
4.4%
4 90
 
3.9%
5 69
 
3.0%
Other values (5) 239
 
10.4%
Latin
ValueCountFrequency (%)
S 2
28.6%
E 1
14.3%
T 1
14.3%
R 1
14.3%
O 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3201
58.2%
ASCII 2300
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
936
40.7%
1 198
 
8.6%
2 143
 
6.2%
, 140
 
6.1%
( 132
 
5.7%
) 132
 
5.7%
3 112
 
4.9%
0 102
 
4.4%
4 90
 
3.9%
5 69
 
3.0%
Other values (11) 246
 
10.7%
Hangul
ValueCountFrequency (%)
청 230
 
7.2%
남 217
 
6.8%
충 198
 
6.2%
도 195
 
6.1%
시 166
 
5.2%
동 153
 
4.8%
로 138
 
4.3%
산 101
 
3.2%
길 83
 
2.6%
천 75
 
2.3%
Other values (219) 1645
51.4%

Interactions

2024-01-10T07:48:49.780890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:48:53.797700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류회사상태
구분1.0000.4010.112
종류0.4011.0000.074
회사상태0.1120.0741.000
2024-01-10T07:48:53.871080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사상태종류
회사상태1.0000.049
종류0.0491.000
2024-01-10T07:48:53.937798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류회사상태
구분1.0000.2140.034
종류0.2141.0000.049
회사상태0.0340.0491.000

Missing values

2024-01-10T07:48:49.978300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:48:50.127686image/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.
2024-01-10T07:48:50.318246image/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

구분종류상호대표자회사상태우편번호주소
01설계ㆍ사업관리(일반)(주)경동엔지니어링강재홍외 1명정상431-811충청남도 천안시 동남구 만남로 72 1514호(신부동, 삼부르네상스홈)
12설계ㆍ사업관리(일반)(주)양지양계승정상32549충청남도 공주시 제민천1길 55(봉황동)
23설계ㆍ사업관리(일반)(주)한경기술공사윤여삼정상320-030충청남도 논산시 시민로 184번길 3(내동)
34설계ㆍ사업관리(일반)(주)세일종합기술공사이호순외 1명정상330-160충청남도 천안시 동남구 만남로72, 405호(신부동, 삼부르네상스홈)
45설계ㆍ사업관리(일반)(주)우경엔지니어링박일양정상33449충청남도 보령시 대천방조제로 68 (대천동)
56설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))(주)경일종합기술공사조윤명정상330-943충청남도 천안시 동남구 만남로 72, 406호 (신부동, 삼부르네상스오피스텔)
67품질검사(토목,특수)(주)한국건설기술연구소배병렬정상331-300충청남도 천안시 서북구 성성1길 119 (성성동)
78설계ㆍ사업관리(건설사업관리)(주)창조종합건축사사무소유병문정상356-802충청남도 서산시 부춘공원 1로 10
89설계ㆍ사업관리(일반)(주)기산엔지니어링강도묵정상314-060충청남도 공주시 제민천1길 3-1(봉황동,2층)
910설계ㆍ사업관리(일반)(주)한맥기술이경훈정상343-843충청남도 당진시 고대면 성산로 464
구분종류상호대표자회사상태우편번호주소
186187설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))주식회사 토담기술공사윤종빈외 1명정상31471충청남도 아산시 배방읍 광장로 210, 203동 429호(요진와이시티)
187188설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))디엘씨케이(주)문용근외 1명정상31470충청남도 아산시 배방읍 광장로 177-10, 1111-에이호(펜타폴리스)
188189설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))부성이엔지 주식회사박진일정상31119충청남도 천안시 동남구 터미널3길 37, 4층(신부동)
189190설계ㆍ사업관리(측량)주식회사 예스공간정보방승필정상31482충청남도 아산시 배방읍 모산로149번길 6, 3층
190191설계ㆍ사업관리(건설사업관리)주식회사 예가씨엠건축사사무소신우식외 1명정상31524충청남도 아산시 문화로 271-6, 204호(권곡동, 아산마트빌딩)
191192설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 태인이엔지김종형정상32714충청남도 금산군 추부면 마전로 29
192193설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 하이이앤씨임차양정상32226충청남도 홍성군 홍성읍 월산로 26, 2층
193194설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))주식회사 동우이엔텍연윤택정상31774충청남도 당진시 시청2로 6-5 (수청동)
194195설계ㆍ사업관리(건설사업관리)주식회사 해솔종합건축사사무소정현우정상31019충청남도 천안시 서북구 성환읍 연암율금로 508,3층 303호
195196설계ㆍ사업관리(건설사업관리)주식회사 청우건영박청우정상32909충청남도 논산시 연산면 선비로821번길 93-12