Overview

Dataset statistics

Number of variables7
Number of observations216
Missing cells22
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description충청남도 소재 건설엔지니어링업 등록 현황으로 종류(세부분야),상호,대표자,회사상태,우편번호,주소 등으로 구성돼 있음
Author충청남도
URLhttps://www.data.go.kr/data/15019953/fileData.do

Alerts

구분 is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 구분High correlation
회사상태 is highly imbalanced (75.8%)Imbalance
구분 has 22 (10.2%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:25:29.866673
Analysis finished2024-03-15 02:25:31.407723
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct194
Distinct (%)100.0%
Missing22
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum1
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T11:25:31.688132image/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
2024-03-15T11:25:32.158751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
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%
133 1
 
0.5%
Other values (184) 184
85.2%
(Missing) 22
 
10.2%
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

HIGH CORRELATION 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
설계ㆍ사업관리(설계등용역 일반(계획.조사.설계 포함))
105 
설계ㆍ사업관리(일반)
45 
설계ㆍ사업관리(측량)
20 
설계ㆍ사업관리(건설사업관리)
19 
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))
19 
Other values (3)
 
8

Length

Max length30
Median length29
Mean length22.115741
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)) 105
48.6%
설계ㆍ사업관리(일반) 45
20.8%
설계ㆍ사업관리(측량) 20
 
9.3%
설계ㆍ사업관리(건설사업관리) 19
 
8.8%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외)) 19
 
8.8%
품질검사(특수) 4
 
1.9%
품질검사(토목,특수) 3
 
1.4%
품질검사(일반,특수) 1
 
0.5%

Length

2024-03-15T11:25:32.507754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:32.876122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계ㆍ사업관리(설계등용역 105
23.6%
일반(계획.조사.설계 105
23.6%
포함 105
23.6%
설계ㆍ사업관리(일반 45
10.1%
설계ㆍ사업관리(측량 20
 
4.5%
설계ㆍ사업관리(건설사업관리 19
 
4.3%
설계ㆍ사업관리(설계등용역일반(계획.조사.설계 19
 
4.3%
제외 19
 
4.3%
품질검사(특수 4
 
0.9%
품질검사(토목,특수 3
 
0.7%

상호
Text

UNIQUE 

Distinct216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T11:25:33.721892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.37037
Min length5

Characters and Unicode

Total characters2240
Distinct characters190
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

Unique216 ?
Unique (%)100.0%

Sample

1st row주식회사 대아엔지니어링
2nd row(주)한경기술공사
3rd row(주)양지
4th row(주)세일종합기술공사
5th row(주)우경엔지니어링
ValueCountFrequency (%)
주식회사 109
33.0%
더수이앤씨 1
 
0.3%
하이이앤씨 1
 
0.3%
일맥구조엔지니어링 1
 
0.3%
혜원 1
 
0.3%
다온엔지니어링 1
 
0.3%
진원엔지니어링 1
 
0.3%
글로벌이앤씨 1
 
0.3%
파나시아 1
 
0.3%
동국지리정보 1
 
0.3%
Other values (212) 212
64.2%
2024-03-15T11:25:35.102818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 201
 
9.0%
사 168
 
7.5%
114
 
5.1%
회 111
 
5.0%
식 111
 
5.0%
지 100
 
4.5%
엔 91
 
4.1%
) 90
 
4.0%
( 90
 
4.0%
어 63
 
2.8%
Other values (180) 1101
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1946
86.9%
Space Separator 114
 
5.1%
Close Punctuation 90
 
4.0%
Open Punctuation 90
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 201
 
10.3%
사 168
 
8.6%
회 111
 
5.7%
식 111
 
5.7%
지 100
 
5.1%
엔 91
 
4.7%
어 63
 
3.2%
니 62
 
3.2%
링 62
 
3.2%
이 56
 
2.9%
Other values (177) 921
47.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1946
86.9%
Common 294
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 201
 
10.3%
사 168
 
8.6%
회 111
 
5.7%
식 111
 
5.7%
지 100
 
5.1%
엔 91
 
4.7%
어 63
 
3.2%
니 62
 
3.2%
링 62
 
3.2%
이 56
 
2.9%
Other values (177) 921
47.3%
Common
ValueCountFrequency (%)
114
38.8%
) 90
30.6%
( 90
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1946
86.9%
ASCII 294
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 201
 
10.3%
사 168
 
8.6%
회 111
 
5.7%
식 111
 
5.7%
지 100
 
5.1%
엔 91
 
4.7%
어 63
 
3.2%
니 62
 
3.2%
링 62
 
3.2%
이 56
 
2.9%
Other values (177) 921
47.3%
ASCII
ValueCountFrequency (%)
114
38.8%
) 90
30.6%
( 90
30.6%

대표자
Text

Distinct215
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T11:25:36.451227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5925926
Min length2

Characters and Unicode

Total characters776
Distinct characters151
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

Unique214 ?
Unique (%)99.1%

Sample

1st row류주환
2nd row윤여삼
3rd row양계승
4th row이호순외 1명
5th row박일양
ValueCountFrequency (%)
1명 30
 
12.0%
이종관 2
 
0.8%
최웅조 1
 
0.4%
천민승 1
 
0.4%
방승필 1
 
0.4%
임차양 1
 
0.4%
문정일외 1
 
0.4%
이경구 1
 
0.4%
강효식 1
 
0.4%
김혜란외 1
 
0.4%
Other values (209) 209
83.9%
2024-03-15T11:25:38.454990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 40
 
5.2%
명 37
 
4.8%
김 35
 
4.5%
33
 
4.3%
외 32
 
4.1%
1 30
 
3.9%
정 22
 
2.8%
박 20
 
2.6%
영 14
 
1.8%
경 14
 
1.8%
Other values (141) 499
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
91.6%
Space Separator 33
 
4.3%
Decimal Number 32
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
 
5.6%
명 37
 
5.2%
김 35
 
4.9%
외 32
 
4.5%
정 22
 
3.1%
박 20
 
2.8%
영 14
 
2.0%
경 14
 
2.0%
현 13
 
1.8%
종 12
 
1.7%
Other values (137) 472
66.4%
Decimal Number
ValueCountFrequency (%)
1 30
93.8%
3 1
 
3.1%
4 1
 
3.1%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
91.6%
Common 65
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
 
5.6%
명 37
 
5.2%
김 35
 
4.9%
외 32
 
4.5%
정 22
 
3.1%
박 20
 
2.8%
영 14
 
2.0%
경 14
 
2.0%
현 13
 
1.8%
종 12
 
1.7%
Other values (137) 472
66.4%
Common
ValueCountFrequency (%)
33
50.8%
1 30
46.2%
3 1
 
1.5%
4 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
91.6%
ASCII 65
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 40
 
5.6%
명 37
 
5.2%
김 35
 
4.9%
외 32
 
4.5%
정 22
 
3.1%
박 20
 
2.8%
영 14
 
2.0%
경 14
 
2.0%
현 13
 
1.8%
종 12
 
1.7%
Other values (137) 472
66.4%
ASCII
ValueCountFrequency (%)
33
50.8%
1 30
46.2%
3 1
 
1.5%
4 1
 
1.5%

회사상태
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
정상
199 
정상[업종변경]
 
12
정상[양도양수]
 
4
정상[흡수합병]
 
1

Length

Max length8
Median length2
Mean length2.4722222
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
정상 199
92.1%
정상[업종변경] 12
 
5.6%
정상[양도양수] 4
 
1.9%
정상[흡수합병] 1
 
0.5%

Length

2024-03-15T11:25:38.890920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:39.239009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 199
92.1%
정상[업종변경 12
 
5.6%
정상[양도양수 4
 
1.9%
정상[흡수합병 1
 
0.5%

우편번호
Text

Distinct144
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T11:25:40.604468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0092593
Min length5

Characters and Unicode

Total characters1082
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

Unique108 ?
Unique (%)50.0%

Sample

1st row32826
2nd row32989
3rd row32549
4th row31124
5th row33449
ValueCountFrequency (%)
31774 6
 
2.8%
32551 6
 
2.8%
31163 6
 
2.8%
31156 5
 
2.3%
31470 4
 
1.9%
32733 4
 
1.9%
31198 4
 
1.9%
33324 4
 
1.9%
32144 4
 
1.9%
32826 4
 
1.9%
Other values (134) 169
78.2%
2024-03-15T11:25:42.491606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 307
28.4%
1 191
17.7%
2 138
12.8%
4 107
 
9.9%
5 68
 
6.3%
7 60
 
5.5%
6 59
 
5.5%
9 57
 
5.3%
0 52
 
4.8%
8 42
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1081
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 307
28.4%
1 191
17.7%
2 138
12.8%
4 107
 
9.9%
5 68
 
6.3%
7 60
 
5.6%
6 59
 
5.5%
9 57
 
5.3%
0 52
 
4.8%
8 42
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1082
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 307
28.4%
1 191
17.7%
2 138
12.8%
4 107
 
9.9%
5 68
 
6.3%
7 60
 
5.5%
6 59
 
5.5%
9 57
 
5.3%
0 52
 
4.8%
8 42
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 307
28.4%
1 191
17.7%
2 138
12.8%
4 107
 
9.9%
5 68
 
6.3%
7 60
 
5.5%
6 59
 
5.5%
9 57
 
5.3%
0 52
 
4.8%
8 42
 
3.9%

주소
Text

Distinct212
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T11:25:43.518733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length29.384259
Min length17

Characters and Unicode

Total characters6347
Distinct characters272
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

Unique209 ?
Unique (%)96.8%

Sample

1st row충청남도 계룡시 계룡대로 325, 203호(금암동, 씨티빌딩) 203호
2nd row충청남도 논산시 시민로 184번길 3(내동)
3rd row충청남도 공주시 대통2길 18(봉황동)
4th row충청남도 천안시 동남구 만남로72, 405호(신부동, 삼부르네상스홈)
5th row충청남도 보령시 대천방조제로 68 (대천동)
ValueCountFrequency (%)
충청남도 215
 
16.9%
천안시 55
 
4.3%
서북구 39
 
3.1%
공주시 24
 
1.9%
아산시 22
 
1.7%
2층 21
 
1.6%
보령시 16
 
1.3%
동남구 16
 
1.3%
당진시 16
 
1.3%
서산시 16
 
1.3%
Other values (552) 834
65.5%
2024-03-15T11:25:45.482532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1074
 
16.9%
청 261
 
4.1%
남 243
 
3.8%
1 237
 
3.7%
충 220
 
3.5%
도 217
 
3.4%
시 191
 
3.0%
, 191
 
3.0%
2 186
 
2.9%
동 184
 
2.9%
Other values (262) 3343
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3645
57.4%
Decimal Number 1075
 
16.9%
Space Separator 1074
 
16.9%
Other Punctuation 191
 
3.0%
Close Punctuation 154
 
2.4%
Open Punctuation 154
 
2.4%
Dash Punctuation 47
 
0.7%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 261
 
7.2%
남 243
 
6.7%
충 220
 
6.0%
도 217
 
6.0%
시 191
 
5.2%
동 184
 
5.0%
로 150
 
4.1%
산 102
 
2.8%
호 101
 
2.8%
천 92
 
2.5%
Other values (241) 1884
51.7%
Decimal Number
ValueCountFrequency (%)
1 237
22.0%
2 186
17.3%
3 137
12.7%
0 129
12.0%
4 95
8.8%
6 74
 
6.9%
5 72
 
6.7%
8 58
 
5.4%
7 51
 
4.7%
9 36
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
C 1
14.3%
O 1
14.3%
R 1
14.3%
T 1
14.3%
E 1
14.3%
Space Separator
ValueCountFrequency (%)
1074
100.0%
Other Punctuation
ValueCountFrequency (%)
, 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3645
57.4%
Common 2695
42.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 261
 
7.2%
남 243
 
6.7%
충 220
 
6.0%
도 217
 
6.0%
시 191
 
5.2%
동 184
 
5.0%
로 150
 
4.1%
산 102
 
2.8%
호 101
 
2.8%
천 92
 
2.5%
Other values (241) 1884
51.7%
Common
ValueCountFrequency (%)
1074
39.9%
1 237
 
8.8%
, 191
 
7.1%
2 186
 
6.9%
) 154
 
5.7%
( 154
 
5.7%
3 137
 
5.1%
0 129
 
4.8%
4 95
 
3.5%
6 74
 
2.7%
Other values (5) 264
 
9.8%
Latin
ValueCountFrequency (%)
S 2
28.6%
C 1
14.3%
O 1
14.3%
R 1
14.3%
T 1
14.3%
E 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3645
57.4%
ASCII 2702
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1074
39.7%
1 237
 
8.8%
, 191
 
7.1%
2 186
 
6.9%
) 154
 
5.7%
( 154
 
5.7%
3 137
 
5.1%
0 129
 
4.8%
4 95
 
3.5%
6 74
 
2.7%
Other values (11) 271
 
10.0%
Hangul
ValueCountFrequency (%)
청 261
 
7.2%
남 243
 
6.7%
충 220
 
6.0%
도 217
 
6.0%
시 191
 
5.2%
동 184
 
5.0%
로 150
 
4.1%
산 102
 
2.8%
호 101
 
2.8%
천 92
 
2.5%
Other values (241) 1884
51.7%

Interactions

2024-03-15T11:25:30.587896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:25:45.817785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류회사상태
구분1.0000.9280.205
종류0.9281.0000.398
회사상태0.2050.3981.000
2024-03-15T11:25:46.089675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사상태종류
회사상태1.0000.184
종류0.1841.000
2024-03-15T11:25:46.342578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류회사상태
구분1.0000.6340.121
종류0.6341.0000.184
회사상태0.1210.1841.000

Missing values

2024-03-15T11:25:30.950609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:25:31.326203image/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(일반)주식회사 대아엔지니어링류주환정상32826충청남도 계룡시 계룡대로 325, 203호(금암동, 씨티빌딩) 203호
12설계ㆍ사업관리(일반)(주)한경기술공사윤여삼정상32989충청남도 논산시 시민로 184번길 3(내동)
23설계ㆍ사업관리(일반)(주)양지양계승정상32549충청남도 공주시 대통2길 18(봉황동)
34설계ㆍ사업관리(일반)(주)세일종합기술공사이호순외 1명정상31124충청남도 천안시 동남구 만남로72, 405호(신부동, 삼부르네상스홈)
45설계ㆍ사업관리(일반)(주)우경엔지니어링박일양정상33449충청남도 보령시 대천방조제로 68 (대천동)
56설계ㆍ사업관리(일반)(주)기산엔지니어링강도묵정상32564충청남도 공주시 제민천2길 54, 102호(중학동)
67설계ㆍ사업관리(일반)(주)천마기술단최규영정상[업종변경]31420충청남도 아산시 둔포면 윤보선로 517, 2동 101호
78설계ㆍ사업관리(일반)(주)드림이앤디홍윤표정상[흡수합병]32580충청남도 공주시 번영1로 156, 3층(신관동)
89설계ㆍ사업관리(일반)(주)우일엔지니어링손선익정상31136충청남도 천안시 서북구 봉정로 218 (성정동)
910설계ㆍ사업관리(일반)(주)장맥엔지니어링백진기정상31987충청남도 서산시 안견로 475, 2층(갈산동)
구분종류상호대표자회사상태우편번호주소
206<NA>품질검사(특수)(주)금가홍인표정상31704충청남도 당진시 석문면 보덕포로 665-1
207<NA>품질검사(특수)서울검사 주식회사 서부사무소강신태정상31728충청남도 당진시 송악읍 중흥1길 51, 상가동 지하 1층 비 101호(세종그랑시아)
208<NA>품질검사(특수)대청이엔지 주식회사이종삼정상31100충청남도 천안시 서북구 부성7길 3, 레몬타워 제5층 502호(두정동)
209<NA>품질검사(특수)(주)한국건설안전공사 품질시험소지성갑정상32620충청남도 공주시 반포면 마티길 234
210<NA>품질검사(일반,특수)(주)한국건설재료공학연구소안채호정상[업종변경]31246충청남도 천안시 동남구 성남면 성남로 236, 1동, 2동
211<NA>품질검사(토목,특수)주식회사 케이씨티시험연구원김건태정상31060충청남도 천안시 서북구 입장면 위례성로 1898-35
212<NA>품질검사(토목,특수)(주)한국건설기술연구소배병렬정상31079충청남도 천안시 서북구 성성1길 119 (성성동)
213<NA>품질검사(토목,특수)한국건설자재시험연구원중부분원 주식회사김영진외 1명정상31053충청남도 천안시 서북구 성거읍 석문길 70
214<NA>설계ㆍ사업관리(설계등용역일반(계획.조사.설계 제외))좋은건축사사무소김규린정상33465충청남도 보령시 남대천로 21, 5층(대천동, 건하빌딩)
215<NA>설계ㆍ사업관리(일반)(주)부림기술단이정갑정상320-802충청남도 논산시 계백로 1034