Overview

Dataset statistics

Number of variables8
Number of observations289
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Categorical1
DateTime1
Text5

Dataset

Description충청남도 도내 일반 및 공공측량업체 289개소의 등록현황(업종, 업등록일, 상호, 대표자, 전화번호, 주소) 제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=402&beforeMenuCd=DOM_000000201001001000&publicdatapk=15047452

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:14:05.602784
Analysis finished2024-01-09 20:14:06.434368
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145
Minimum1
Maximum289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-10T05:14:06.532115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.4
Q173
median145
Q3217
95-th percentile274.6
Maximum289
Range288
Interquartile range (IQR)144

Descriptive statistics

Standard deviation83.571327
Coefficient of variation (CV)0.57635398
Kurtosis-1.2
Mean145
Median Absolute Deviation (MAD)72
Skewness0
Sum41905
Variance6984.1667
MonotonicityStrictly increasing
2024-01-10T05:14:06.707863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
218 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (279) 279
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%

업종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반측량
242 
공공측량
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반측량 242
83.7%
공공측량 47
 
16.3%

Length

2024-01-10T05:14:06.872502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:14:06.985522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반측량 242
83.7%
공공측량 47
 
16.3%

업등록일
Date

Distinct264
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1976-03-19 00:00:00
Maximum2021-06-30 00:00:00
2024-01-10T05:14:07.104150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:14:07.288496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업등록번호
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-10T05:14:07.676304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length7.7508651
Min length5

Characters and Unicode

Total characters2240
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

Unique289 ?
Unique (%)100.0%

Sample

1st row03-001280
2nd row03-000917
3rd row41080
4th row4021026
5th row03-001110
ValueCountFrequency (%)
03-001280 1
 
0.3%
42375 1
 
0.3%
04-002822 1
 
0.3%
4022065 1
 
0.3%
4022007 1
 
0.3%
04-002707 1
 
0.3%
04-004332 1
 
0.3%
4022214 1
 
0.3%
04-004007 1
 
0.3%
04-004723 1
 
0.3%
Other values (279) 279
96.5%
2024-01-10T05:14:08.210472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 711
31.7%
4 410
18.3%
2 292
13.0%
1 165
 
7.4%
- 160
 
7.1%
3 152
 
6.8%
5 79
 
3.5%
7 69
 
3.1%
8 68
 
3.0%
9 68
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2080
92.9%
Dash Punctuation 160
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 711
34.2%
4 410
19.7%
2 292
14.0%
1 165
 
7.9%
3 152
 
7.3%
5 79
 
3.8%
7 69
 
3.3%
8 68
 
3.3%
9 68
 
3.3%
6 66
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 711
31.7%
4 410
18.3%
2 292
13.0%
1 165
 
7.4%
- 160
 
7.1%
3 152
 
6.8%
5 79
 
3.5%
7 69
 
3.1%
8 68
 
3.0%
9 68
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 711
31.7%
4 410
18.3%
2 292
13.0%
1 165
 
7.4%
- 160
 
7.1%
3 152
 
6.8%
5 79
 
3.5%
7 69
 
3.1%
8 68
 
3.0%
9 68
 
3.0%

상호
Text

Distinct283
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-10T05:14:08.480114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.8615917
Min length4

Characters and Unicode

Total characters2561
Distinct characters181
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)96.2%

Sample

1st row(주) 선화
2nd row(주)경인엔지니어링
3rd row(주)계림엔지니어링
4th row(주)기산엔지니어링
5th row(주)대신엔지니어링
ValueCountFrequency (%)
주식회사 16
 
5.1%
중앙측량설계사무소 3
 
1.0%
대성측량설계사무소 2
 
0.6%
한빛엔지니어링(주 2
 
0.6%
바른측량설계사무소 2
 
0.6%
신성측량설계사무소 2
 
0.6%
유한회사 2
 
0.6%
시선토목설계사무소 1
 
0.3%
서해안측량설계사무소 1
 
0.3%
선화 1
 
0.3%
Other values (280) 280
89.7%
2024-01-10T05:14:08.932128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
설 158
 
6.2%
사 158
 
6.2%
계 154
 
6.0%
측 149
 
5.8%
량 149
 
5.8%
주 124
 
4.8%
( 104
 
4.1%
) 104
 
4.1%
지 85
 
3.3%
소 78
 
3.0%
Other values (171) 1298
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2318
90.5%
Open Punctuation 104
 
4.1%
Close Punctuation 104
 
4.1%
Space Separator 23
 
0.9%
Uppercase Letter 8
 
0.3%
Other Punctuation 2
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 158
 
6.8%
사 158
 
6.8%
계 154
 
6.6%
측 149
 
6.4%
량 149
 
6.4%
주 124
 
5.3%
지 85
 
3.7%
소 78
 
3.4%
무 75
 
3.2%
엔 74
 
3.2%
Other values (162) 1114
48.1%
Uppercase Letter
ValueCountFrequency (%)
N 3
37.5%
E 2
25.0%
G 2
25.0%
K 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2320
90.6%
Common 233
 
9.1%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 158
 
6.8%
사 158
 
6.8%
계 154
 
6.6%
측 149
 
6.4%
량 149
 
6.4%
주 124
 
5.3%
지 85
 
3.7%
소 78
 
3.4%
무 75
 
3.2%
엔 74
 
3.2%
Other values (163) 1116
48.1%
Common
ValueCountFrequency (%)
( 104
44.6%
) 104
44.6%
23
 
9.9%
. 2
 
0.9%
Latin
ValueCountFrequency (%)
N 3
37.5%
E 2
25.0%
G 2
25.0%
K 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2318
90.5%
ASCII 241
 
9.4%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
설 158
 
6.8%
사 158
 
6.8%
계 154
 
6.6%
측 149
 
6.4%
량 149
 
6.4%
주 124
 
5.3%
지 85
 
3.7%
소 78
 
3.4%
무 75
 
3.2%
엔 74
 
3.2%
Other values (162) 1114
48.1%
ASCII
ValueCountFrequency (%)
( 104
43.2%
) 104
43.2%
23
 
9.5%
N 3
 
1.2%
. 2
 
0.8%
E 2
 
0.8%
G 2
 
0.8%
K 1
 
0.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자명
Text

Distinct286
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-10T05:14:09.340706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0034602
Min length2

Characters and Unicode

Total characters868
Distinct characters154
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

Unique283 ?
Unique (%)97.9%

Sample

1st row정선화
2nd row김명섭
3rd row박홍범
4th row강도묵
5th row오지현
ValueCountFrequency (%)
이형석 2
 
0.7%
유수영 2
 
0.7%
이재우 2
 
0.7%
권오준 1
 
0.3%
박필수 1
 
0.3%
김선정 1
 
0.3%
김양규 1
 
0.3%
정현균 1
 
0.3%
김명노 1
 
0.3%
한노수 1
 
0.3%
Other values (277) 277
95.5%
2024-01-10T05:14:09.973283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 54
 
6.2%
이 48
 
5.5%
정 30
 
3.5%
영 24
 
2.8%
박 23
 
2.6%
현 20
 
2.3%
수 19
 
2.2%
종 17
 
2.0%
상 17
 
2.0%
용 16
 
1.8%
Other values (144) 600
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
99.8%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 54
 
6.2%
이 48
 
5.5%
정 30
 
3.5%
영 24
 
2.8%
박 23
 
2.7%
현 20
 
2.3%
수 19
 
2.2%
종 17
 
2.0%
상 17
 
2.0%
용 16
 
1.8%
Other values (142) 598
69.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 54
 
6.2%
이 48
 
5.5%
정 30
 
3.5%
영 24
 
2.8%
박 23
 
2.7%
현 20
 
2.3%
수 19
 
2.2%
종 17
 
2.0%
상 17
 
2.0%
용 16
 
1.8%
Other values (142) 598
69.1%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 54
 
6.2%
이 48
 
5.5%
정 30
 
3.5%
영 24
 
2.8%
박 23
 
2.7%
현 20
 
2.3%
수 19
 
2.2%
종 17
 
2.0%
상 17
 
2.0%
용 16
 
1.8%
Other values (142) 598
69.1%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

사무소전화번호
Text

Distinct286
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-10T05:14:10.313430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length11

Characters and Unicode

Total characters3485
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

Unique283 ?
Unique (%)97.9%

Sample

1st row041-836-1215
2nd row041-665-0704
3rd row041-681-8354
4th row041-852-1771
5th row031-939-3120
ValueCountFrequency (%)
041-673-2011 2
 
0.7%
041-751-3887 2
 
0.7%
041-666-2807 2
 
0.7%
041-543-8484 1
 
0.3%
041-532-0020 1
 
0.3%
041-675-0093 1
 
0.3%
041-358-9030 1
 
0.3%
041-357-9686 1
 
0.3%
041-534-5917 1
 
0.3%
041-674-2523 1
 
0.3%
Other values (276) 276
95.5%
2024-01-10T05:14:10.804678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 578
16.6%
0 516
14.8%
4 468
13.4%
1 431
12.4%
5 300
8.6%
3 263
7.5%
6 226
 
6.5%
7 205
 
5.9%
8 185
 
5.3%
2 179
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2907
83.4%
Dash Punctuation 578
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 516
17.8%
4 468
16.1%
1 431
14.8%
5 300
10.3%
3 263
9.0%
6 226
7.8%
7 205
 
7.1%
8 185
 
6.4%
2 179
 
6.2%
9 134
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3485
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 578
16.6%
0 516
14.8%
4 468
13.4%
1 431
12.4%
5 300
8.6%
3 263
7.5%
6 226
 
6.5%
7 205
 
5.9%
8 185
 
5.3%
2 179
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 578
16.6%
0 516
14.8%
4 468
13.4%
1 431
12.4%
5 300
8.6%
3 263
7.5%
6 226
 
6.5%
7 205
 
5.9%
8 185
 
5.3%
2 179
 
5.1%

사무소도로명주소
Text

Distinct282
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-10T05:14:11.167212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length32.262976
Min length23

Characters and Unicode

Total characters9324
Distinct characters162
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

Unique275 ?
Unique (%)95.2%

Sample

1st row33160 충청남도 부여군 부여읍 성왕로 458-1, 103호(가탑리)
2nd row31994 충청남도 서산시 서해로 3443, 3층 (석림동)
3rd row31492 충청남도 아산시 배방읍 배방로 231
4th row32551 충청남도 공주시 제민천1길 3-1 (봉황동)
5th row32974 충청남도 논산시 중앙로410번길 6, 417호 (취암동)
ValueCountFrequency (%)
충청남도 289
 
15.4%
아산시 51
 
2.7%
온천동 42
 
2.2%
당진시 42
 
2.2%
공주시 33
 
1.8%
2층 32
 
1.7%
서산시 31
 
1.7%
읍내동 25
 
1.3%
31774 25
 
1.3%
보령시 25
 
1.3%
Other values (502) 1281
68.3%
2024-01-10T05:14:11.708363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2047
22.0%
3 542
 
5.8%
1 485
 
5.2%
청 382
 
4.1%
2 381
 
4.1%
4 302
 
3.2%
남 298
 
3.2%
충 292
 
3.1%
도 289
 
3.1%
시 258
 
2.8%
Other values (152) 4048
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4100
44.0%
Decimal Number 2607
28.0%
Space Separator 2047
22.0%
Open Punctuation 185
 
2.0%
Close Punctuation 185
 
2.0%
Other Punctuation 132
 
1.4%
Dash Punctuation 66
 
0.7%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 382
 
9.3%
남 298
 
7.3%
충 292
 
7.1%
도 289
 
7.0%
시 258
 
6.3%
로 229
 
5.6%
동 223
 
5.4%
산 174
 
4.2%
군 124
 
3.0%
길 119
 
2.9%
Other values (135) 1712
41.8%
Decimal Number
ValueCountFrequency (%)
3 542
20.8%
1 485
18.6%
2 381
14.6%
4 302
11.6%
5 205
 
7.9%
7 181
 
6.9%
0 148
 
5.7%
8 127
 
4.9%
6 122
 
4.7%
9 114
 
4.4%
Space Separator
ValueCountFrequency (%)
2047
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5223
56.0%
Hangul 4100
44.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 382
 
9.3%
남 298
 
7.3%
충 292
 
7.1%
도 289
 
7.0%
시 258
 
6.3%
로 229
 
5.6%
동 223
 
5.4%
산 174
 
4.2%
군 124
 
3.0%
길 119
 
2.9%
Other values (135) 1712
41.8%
Common
ValueCountFrequency (%)
2047
39.2%
3 542
 
10.4%
1 485
 
9.3%
2 381
 
7.3%
4 302
 
5.8%
5 205
 
3.9%
( 185
 
3.5%
) 185
 
3.5%
7 181
 
3.5%
0 148
 
2.8%
Other values (6) 562
 
10.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5224
56.0%
Hangul 4100
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2047
39.2%
3 542
 
10.4%
1 485
 
9.3%
2 381
 
7.3%
4 302
 
5.8%
5 205
 
3.9%
( 185
 
3.5%
) 185
 
3.5%
7 181
 
3.5%
0 148
 
2.8%
Other values (7) 563
 
10.8%
Hangul
ValueCountFrequency (%)
청 382
 
9.3%
남 298
 
7.3%
충 292
 
7.1%
도 289
 
7.0%
시 258
 
6.3%
로 229
 
5.6%
동 223
 
5.4%
산 174
 
4.2%
군 124
 
3.0%
길 119
 
2.9%
Other values (135) 1712
41.8%

Interactions

2024-01-10T05:14:06.040788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:14:11.842683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.989
업종0.9891.000
2024-01-10T05:14:11.962991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.893
업종0.8931.000

Missing values

2024-01-10T05:14:06.186297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:14:06.367617image/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

연번업종업등록일업등록번호상호대표자명사무소전화번호사무소도로명주소
01공공측량2021-04-2903-001280(주) 선화정선화041-836-121533160 충청남도 부여군 부여읍 성왕로 458-1, 103호(가탑리)
12공공측량2016-12-2003-000917(주)경인엔지니어링김명섭041-665-070431994 충청남도 서산시 서해로 3443, 3층 (석림동)
23공공측량2001-09-2441080(주)계림엔지니어링박홍범041-681-835431492 충청남도 아산시 배방읍 배방로 231
34공공측량2012-05-174021026(주)기산엔지니어링강도묵041-852-177132551 충청남도 공주시 제민천1길 3-1 (봉황동)
45공공측량2019-09-0303-001110(주)대신엔지니어링오지현031-939-312032974 충청남도 논산시 중앙로410번길 6, 417호 (취암동)
56공공측량2020-06-0103-001171(주)더원이엔지백인식041-632-230432248 충청남도 홍성군 홍성읍 내포로156번길 50
67공공측량2020-02-2003-001143(주)동국엔지니어링강재중070-5056-259532512 충청남도 공주시 정안면 정안중앙길 143, 2층
78공공측량2004-05-2141105(주)동양기술단김은영041-735-988032989 충청남도 논산시 시민로210번길 26 (내동)
89공공측량2003-03-0641094(주)드림이엔지홍윤표041-857-390132580 충청남도 공주시 번영1로 156, 3층 (신관동)
910공공측량2003-08-2641101(주)디엘아이티김주용042-221-245633465 충청남도 보령시 남대천로 21, 4층 (대천동)
연번업종업등록일업등록번호상호대표자명사무소전화번호사무소도로명주소
279280일반측량2014-12-2404-003139합동측량토목설계사안건순041-953-106433644 충청남도 서천군 서천읍 군청로 53-1
280281일반측량1976-03-1942027합자회사 대한측량사신봉근041-832-800033153 충청남도 부여군 부여읍 계백로 261
281282일반측량2013-09-0604-002778해솔이엔지 주식회사손승일041-934-878033435 충청남도 보령시 큰오랏1길 46 (동대동)
282283일반측량2008-11-114022091현대종합측량설계공사윤형식041-735-697932989 충청남도 논산시 시민로210번길 6 (내동)
283284일반측량2010-04-304022132현대측량설계사무소박소훈041-354-226831772 충청남도 당진시 무수동로 152, 4층 (읍내동)
284285일반측량2016-04-0604-003543현대측량설계사사무소박은아041-663-957731986 충청남도 서산시 성암1로 34 (읍내동)
285286일반측량2011-11-114022173현대토목측량설계사무소정상일041-754-181232733 충청남도 금산군 금산읍 군청길 5
286287일반측량2015-07-0704-003314홍성토목측량설계김동현041-631-459132226 충청남도 홍성군 홍성읍 월산로 26, 3층
287288일반측량2006-07-204022036홍주토목측량설계장신순041-631-728532223 충청남도 홍성군 홍성읍 아문길 39
288289일반측량2016-03-1404-003521황종석기술사사무소황종석041-531-050031508 충청남도 아산시 번영로93번길 35-10, 1층