Overview

Dataset statistics

Number of variables5
Number of observations1356
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.4 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text4

Dataset

Description경상남도 창원시 전문건설업 현황이며,
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3078013

Alerts

No has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:50:29.778110
Analysis finished2023-12-11 00:50:30.538771
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

UNIQUE 

Distinct1356
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean678.5
Minimum1
Maximum1356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2023-12-11T09:50:30.608685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.75
Q1339.75
median678.5
Q31017.25
95-th percentile1288.25
Maximum1356
Range1355
Interquartile range (IQR)677.5

Descriptive statistics

Standard deviation391.58779
Coefficient of variation (CV)0.5771375
Kurtosis-1.2
Mean678.5
Median Absolute Deviation (MAD)339
Skewness0
Sum920046
Variance153341
MonotonicityStrictly increasing
2023-12-11T09:50:30.779661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
903 1
 
0.1%
911 1
 
0.1%
910 1
 
0.1%
909 1
 
0.1%
908 1
 
0.1%
907 1
 
0.1%
906 1
 
0.1%
905 1
 
0.1%
904 1
 
0.1%
Other values (1346) 1346
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1356 1
0.1%
1355 1
0.1%
1354 1
0.1%
1353 1
0.1%
1352 1
0.1%
1351 1
0.1%
1350 1
0.1%
1349 1
0.1%
1348 1
0.1%
1347 1
0.1%

상호
Text

UNIQUE 

Distinct1356
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-11T09:50:30.988741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.3879056
Min length2

Characters and Unicode

Total characters10018
Distinct characters394
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

Unique1356 ?
Unique (%)100.0%

Sample

1st row(유)건일산업개발
2nd row(유)대양씨앤씨
3rd row(유)럭키산업건설
4th row(유)삼정씨엔디
5th row(유)상화도장개발
ValueCountFrequency (%)
유)건일산업개발 1
 
0.1%
신한엘리베이터(주 1
 
0.1%
수성산업(주 1
 
0.1%
수근설비 1
 
0.1%
송화주택설비 1
 
0.1%
송우이엔지 1
 
0.1%
세진건설(주 1
 
0.1%
세종종합설비사 1
 
0.1%
세종종합설비 1
 
0.1%
세영산업(주 1
 
0.1%
Other values (1346) 1346
99.3%
2023-12-11T09:50:31.339377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1023
 
10.2%
( 825
 
8.2%
) 825
 
8.2%
설 463
 
4.6%
건 432
 
4.3%
사 258
 
2.6%
회 212
 
2.1%
식 208
 
2.1%
이 201
 
2.0%
스 191
 
1.9%
Other values (384) 5380
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8284
82.7%
Open Punctuation 825
 
8.2%
Close Punctuation 825
 
8.2%
Uppercase Letter 55
 
0.5%
Other Punctuation 19
 
0.2%
Other Symbol 5
 
< 0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1023
 
12.3%
설 463
 
5.6%
건 432
 
5.2%
사 258
 
3.1%
회 212
 
2.6%
식 208
 
2.5%
이 201
 
2.4%
스 191
 
2.3%
업 159
 
1.9%
산 155
 
1.9%
Other values (356) 4982
60.1%
Uppercase Letter
ValueCountFrequency (%)
E 12
21.8%
G 10
18.2%
N 8
14.5%
T 5
9.1%
C 4
 
7.3%
S 2
 
3.6%
L 2
 
3.6%
W 2
 
3.6%
H 2
 
3.6%
P 2
 
3.6%
Other values (6) 6
10.9%
Other Punctuation
ValueCountFrequency (%)
. 10
52.6%
& 4
 
21.1%
, 3
 
15.8%
， 1
 
5.3%
/ 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 1
20.0%
5 1
20.0%
9 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 825
100.0%
Close Punctuation
ValueCountFrequency (%)
) 825
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8289
82.7%
Common 1674
 
16.7%
Latin 55
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1023
 
12.3%
설 463
 
5.6%
건 432
 
5.2%
사 258
 
3.1%
회 212
 
2.6%
식 208
 
2.5%
이 201
 
2.4%
스 191
 
2.3%
업 159
 
1.9%
산 155
 
1.9%
Other values (357) 4987
60.2%
Latin
ValueCountFrequency (%)
E 12
21.8%
G 10
18.2%
N 8
14.5%
T 5
9.1%
C 4
 
7.3%
S 2
 
3.6%
L 2
 
3.6%
W 2
 
3.6%
H 2
 
3.6%
P 2
 
3.6%
Other values (6) 6
10.9%
Common
ValueCountFrequency (%)
( 825
49.3%
) 825
49.3%
. 10
 
0.6%
& 4
 
0.2%
, 3
 
0.2%
1 2
 
0.1%
， 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8284
82.7%
ASCII 1728
 
17.2%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1023
 
12.3%
설 463
 
5.6%
건 432
 
5.2%
사 258
 
3.1%
회 212
 
2.6%
식 208
 
2.5%
이 201
 
2.4%
스 191
 
2.3%
업 159
 
1.9%
산 155
 
1.9%
Other values (356) 4982
60.1%
ASCII
ValueCountFrequency (%)
( 825
47.7%
) 825
47.7%
E 12
 
0.7%
G 10
 
0.6%
. 10
 
0.6%
N 8
 
0.5%
T 5
 
0.3%
& 4
 
0.2%
C 4
 
0.2%
, 3
 
0.2%
Other values (16) 22
 
1.3%
None
ValueCountFrequency (%)
㈜ 5
83.3%
， 1
 
16.7%

업종
Text

Distinct395
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-11T09:50:31.525478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length210
Median length137
Mean length36.817847
Min length7

Characters and Unicode

Total characters49925
Distinct characters89
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)22.9%

Sample

1st row도장ㆍ습식ㆍ방수ㆍ석공사업 지반조성ㆍ포장공사업 도장공사업(폐업) 습식ㆍ방수공사업(대업종전환) 토공사업(대업종전환)
2nd row도장ㆍ습식ㆍ방수ㆍ석공사업 시설물유지관리업 시설물유지관리업(폐업) 미장ㆍ방수공사업(대업종전환) 도장공사업(대업종전환)
3rd row실내건축공사업 도장ㆍ습식ㆍ방수ㆍ석공사업 도장공사업(대업종전환) 습식ㆍ방수공사업(대업종전환)
4th row금속창호ㆍ지붕건축물조립공사업 시설물유지관리업 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)
5th row시설물유지관리업 도장ㆍ습식ㆍ방수ㆍ석공사업 미장ㆍ방수공사업(대업종전환) 도장공사업(대업종전환)
ValueCountFrequency (%)
가스난방공사업 268
 
6.5%
제2종(대업종전환 238
 
5.8%
기계가스설비공사업 218
 
5.3%
가스시설시공업 216
 
5.2%
금속창호ㆍ지붕건축물조립공사업 210
 
5.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 205
 
5.0%
실내건축공사업 201
 
4.9%
금속구조물ㆍ창호ㆍ온실공사업(대업종전환 185
 
4.5%
기계설비공사업(대업종전환 181
 
4.4%
실내건축공사업(대업종전환 160
 
3.9%
Other values (94) 2034
49.4%
2023-12-11T09:50:31.955712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 5595
 
11.2%
공 3587
 
7.2%
사 3212
 
6.4%
2760
 
5.5%
ㆍ 2237
 
4.5%
종 2026
 
4.1%
( 1945
 
3.9%
) 1945
 
3.9%
대 1651
 
3.3%
전 1651
 
3.3%
Other values (79) 23316
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42900
85.9%
Space Separator 2760
 
5.5%
Open Punctuation 1945
 
3.9%
Close Punctuation 1945
 
3.9%
Decimal Number 375
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5595
 
13.0%
공 3587
 
8.4%
사 3212
 
7.5%
ㆍ 2237
 
5.2%
종 2026
 
4.7%
대 1651
 
3.8%
전 1651
 
3.8%
환 1651
 
3.8%
설 1181
 
2.8%
조 971
 
2.3%
Other values (73) 19138
44.6%
Decimal Number
ValueCountFrequency (%)
2 247
65.9%
1 72
 
19.2%
3 56
 
14.9%
Space Separator
ValueCountFrequency (%)
2760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1945
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42900
85.9%
Common 7025
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5595
 
13.0%
공 3587
 
8.4%
사 3212
 
7.5%
ㆍ 2237
 
5.2%
종 2026
 
4.7%
대 1651
 
3.8%
전 1651
 
3.8%
환 1651
 
3.8%
설 1181
 
2.8%
조 971
 
2.3%
Other values (73) 19138
44.6%
Common
ValueCountFrequency (%)
2760
39.3%
( 1945
27.7%
) 1945
27.7%
2 247
 
3.5%
1 72
 
1.0%
3 56
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40663
81.4%
ASCII 7025
 
14.1%
Compat Jamo 2237
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 5595
 
13.8%
공 3587
 
8.8%
사 3212
 
7.9%
종 2026
 
5.0%
대 1651
 
4.1%
전 1651
 
4.1%
환 1651
 
4.1%
설 1181
 
2.9%
조 971
 
2.4%
물 919
 
2.3%
Other values (72) 18219
44.8%
ASCII
ValueCountFrequency (%)
2760
39.3%
( 1945
27.7%
) 1945
27.7%
2 247
 
3.5%
1 72
 
1.0%
3 56
 
0.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2237
100.0%

우편번호(도로명주소)
Text

Distinct546
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-11T09:50:32.375484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.2728614
Min length2

Characters and Unicode

Total characters9862
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)17.2%

Sample

1st row[51157]
2nd row[51200 ]
3rd row[51334 ]
4th row[51647]
5th row[51387 ]
ValueCountFrequency (%)
471
26.0%
51515 27
 
1.5%
51522 26
 
1.4%
51442 24
 
1.3%
51391 22
 
1.2%
51401 19
 
1.0%
51139 16
 
0.9%
51436 15
 
0.8%
51505 15
 
0.8%
51573 15
 
0.8%
Other values (382) 1160
64.1%
2023-12-11T09:50:32.889681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1924
19.5%
5 1774
18.0%
[ 1356
13.7%
] 1356
13.7%
3 558
 
5.7%
2 489
 
5.0%
454
 
4.6%
4 438
 
4.4%
6 435
 
4.4%
7 375
 
3.8%
Other values (4) 703
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6695
67.9%
Open Punctuation 1356
 
13.7%
Close Punctuation 1356
 
13.7%
Space Separator 454
 
4.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1924
28.7%
5 1774
26.5%
3 558
 
8.3%
2 489
 
7.3%
4 438
 
6.5%
6 435
 
6.5%
7 375
 
5.6%
9 246
 
3.7%
0 231
 
3.5%
8 225
 
3.4%
Open Punctuation
ValueCountFrequency (%)
[ 1356
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1356
100.0%
Space Separator
ValueCountFrequency (%)
454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1924
19.5%
5 1774
18.0%
[ 1356
13.7%
] 1356
13.7%
3 558
 
5.7%
2 489
 
5.0%
454
 
4.6%
4 438
 
4.4%
6 435
 
4.4%
7 375
 
3.8%
Other values (4) 703
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1924
19.5%
5 1774
18.0%
[ 1356
13.7%
] 1356
13.7%
3 558
 
5.7%
2 489
 
5.0%
454
 
4.6%
4 438
 
4.4%
6 435
 
4.4%
7 375
 
3.8%
Other values (4) 703
 
7.1%

영업소재지(도로명주소)
Text

Distinct1316
Distinct (%)97.3%
Missing3
Missing (%)0.2%
Memory size10.7 KiB
2023-12-11T09:50:33.320869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length33.92609
Min length19

Characters and Unicode

Total characters45902
Distinct characters336
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

Unique1288 ?
Unique (%)95.2%

Sample

1st row경상남도 창원시 의창구 대봉로26번길 12-19, 301호 (봉림동，창원아카데미 빌딩)
2nd row경상남도 창원시 의창구 의안로12번길 44 (소답동)
3rd row경상남도 창원시 마산합포구 합포로 162 ，케이층 1103호 (산호동，상신크루지움오피스텔)
4th row경상남도 창원시 진해구 덕산로51번길 11 (자은동)
5th row경상남도 창원시 의창구 창이대로113번길 28 (명서동)
ValueCountFrequency (%)
창원시 1351
 
14.4%
경상남도 1342
 
14.3%
의창구 426
 
4.5%
성산구 298
 
3.2%
마산합포구 251
 
2.7%
마산회원구 234
 
2.5%
진해구 143
 
1.5%
팔용동 102
 
1.1%
1층 90
 
1.0%
2층 71
 
0.8%
Other values (1916) 5095
54.2%
2023-12-11T09:50:33.937418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8050
 
17.5%
창 1884
 
4.1%
원 1771
 
3.9%
상 1614
 
3.5%
남 1604
 
3.5%
1 1575
 
3.4%
동 1467
 
3.2%
도 1436
 
3.1%
경 1408
 
3.1%
구 1408
 
3.1%
Other values (326) 23685
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27645
60.2%
Space Separator 8050
 
17.5%
Decimal Number 6856
 
14.9%
Open Punctuation 1180
 
2.6%
Close Punctuation 1179
 
2.6%
Other Punctuation 666
 
1.5%
Dash Punctuation 278
 
0.6%
Uppercase Letter 48
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 1884
 
6.8%
원 1771
 
6.4%
상 1614
 
5.8%
남 1604
 
5.8%
동 1467
 
5.3%
도 1436
 
5.2%
경 1408
 
5.1%
구 1408
 
5.1%
시 1379
 
5.0%
로 1098
 
4.0%
Other values (295) 12576
45.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
22.9%
K 10
20.8%
A 8
16.7%
B 8
16.7%
F 2
 
4.2%
G 2
 
4.2%
C 2
 
4.2%
H 1
 
2.1%
E 1
 
2.1%
P 1
 
2.1%
Other values (2) 2
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 1575
23.0%
2 1007
14.7%
3 787
11.5%
0 749
10.9%
4 645
9.4%
5 556
 
8.1%
6 438
 
6.4%
7 421
 
6.1%
9 349
 
5.1%
8 329
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 483
72.5%
， 139
 
20.9%
· 33
 
5.0%
. 10
 
1.5%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8050
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27645
60.2%
Common 18209
39.7%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 1884
 
6.8%
원 1771
 
6.4%
상 1614
 
5.8%
남 1604
 
5.8%
동 1467
 
5.3%
도 1436
 
5.2%
경 1408
 
5.1%
구 1408
 
5.1%
시 1379
 
5.0%
로 1098
 
4.0%
Other values (295) 12576
45.5%
Common
ValueCountFrequency (%)
8050
44.2%
1 1575
 
8.6%
( 1180
 
6.5%
) 1179
 
6.5%
2 1007
 
5.5%
3 787
 
4.3%
0 749
 
4.1%
4 645
 
3.5%
5 556
 
3.1%
, 483
 
2.7%
Other values (9) 1998
 
11.0%
Latin
ValueCountFrequency (%)
S 11
22.9%
K 10
20.8%
A 8
16.7%
B 8
16.7%
F 2
 
4.2%
G 2
 
4.2%
C 2
 
4.2%
H 1
 
2.1%
E 1
 
2.1%
P 1
 
2.1%
Other values (2) 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27645
60.2%
ASCII 18085
39.4%
None 172
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8050
44.5%
1 1575
 
8.7%
( 1180
 
6.5%
) 1179
 
6.5%
2 1007
 
5.6%
3 787
 
4.4%
0 749
 
4.1%
4 645
 
3.6%
5 556
 
3.1%
, 483
 
2.7%
Other values (19) 1874
 
10.4%
Hangul
ValueCountFrequency (%)
창 1884
 
6.8%
원 1771
 
6.4%
상 1614
 
5.8%
남 1604
 
5.8%
동 1467
 
5.3%
도 1436
 
5.2%
경 1408
 
5.1%
구 1408
 
5.1%
시 1379
 
5.0%
로 1098
 
4.0%
Other values (295) 12576
45.5%
None
ValueCountFrequency (%)
， 139
80.8%
· 33
 
19.2%

Interactions

2023-12-11T09:50:30.223765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:50:30.371976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:50:30.498669image/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

No상호업종우편번호(도로명주소)영업소재지(도로명주소)
01(유)건일산업개발도장ㆍ습식ㆍ방수ㆍ석공사업 지반조성ㆍ포장공사업 도장공사업(폐업) 습식ㆍ방수공사업(대업종전환) 토공사업(대업종전환)[51157]경상남도 창원시 의창구 대봉로26번길 12-19, 301호 (봉림동，창원아카데미 빌딩)
12(유)대양씨앤씨도장ㆍ습식ㆍ방수ㆍ석공사업 시설물유지관리업 시설물유지관리업(폐업) 미장ㆍ방수공사업(대업종전환) 도장공사업(대업종전환)[51200 ]경상남도 창원시 의창구 의안로12번길 44 (소답동)
23(유)럭키산업건설실내건축공사업 도장ㆍ습식ㆍ방수ㆍ석공사업 도장공사업(대업종전환) 습식ㆍ방수공사업(대업종전환)[51334 ]경상남도 창원시 마산합포구 합포로 162 ，케이층 1103호 (산호동，상신크루지움오피스텔)
34(유)삼정씨엔디금속창호ㆍ지붕건축물조립공사업 시설물유지관리업 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)[51647]경상남도 창원시 진해구 덕산로51번길 11 (자은동)
45(유)상화도장개발시설물유지관리업 도장ㆍ습식ㆍ방수ㆍ석공사업 미장ㆍ방수공사업(대업종전환) 도장공사업(대업종전환)[51387 ]경상남도 창원시 의창구 창이대로113번길 28 (명서동)
56(유)세정건설철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)[51778]경상남도 창원시 마산합포구 현동4길 6 506호 (에스엠프라자) (우산동)
67(유)승천종합건설철근ㆍ콘크리트공사업[51102]경상남도 창원시 의창구 북면 월계길9번길 36
78(유)아남설비사기계가스설비공사업 가스시설시공업 제2종(폐업) 난방시공업 제2종(폐업) 기계설비공사업(대업종전환)[51118]경상남도 창원시 의창구 동읍 동읍로224번길 12-8
89(유)에이치에스관리시설물유지관리업[51139]경상남도 창원시 의창구 용동로 85 , 802호(한마음빌딩) (사림동)
910(유)영남기업사상ㆍ하수도설비공사업 가스난방공사업 상ㆍ하수도설비공사업(대업종전환) 가스시설시공업 제2종(대업종전환)[51586 ]경상남도 창원시 진해구 돌리로22번길 1 (석동)
No상호업종우편번호(도로명주소)영업소재지(도로명주소)
13461347환승산업개발주식회사구조물해체ㆍ비계공사업 비계ㆍ구조물해체공사업(대업종전환)[51281]경상남도 창원시 마산합포구 천하장사로 48 , 2층 (성호동)
13471348황서종합건설(주)시설물유지관리업[51108]경상남도 창원시 의창구 북면 백월로143번길 3-13
13481349회성가스가스난방공사업 가스시설시공업 제2종(대업종전환)[51305 ]경상남도 창원시 마산회원구 회성동1길 20 (회성동)
13491350효성TW기계가스설비공사업 기계설비공사업(대업종전환)[51567]경상남도 창원시 성산구 반월로 71-19 (신촌동)
13501351효성에너텍가스난방공사업 난방시공업 제2종(대업종전환)[51164]경상남도 창원시 의창구 하남천서길5번길 15 (도계동)
13511352효원건설(주)도장ㆍ습식ㆍ방수ㆍ석공사업 조적공사업(자진반납) 습식ㆍ방수공사업(대업종전환)[51587]경상남도 창원시 진해구 석동로 65， 5층 501호(석동， 에이플러스빌딩)
13521353효원플러스(주)지반조성ㆍ포장공사업 도장ㆍ습식ㆍ방수ㆍ석공사업 철근ㆍ콘크리트공사업 상ㆍ하수도설비공사업 시설물유지관리업 토공사업(자진반납) 상ㆍ하수도설비공사업(폐업) 철근ㆍ콘크리트공사업(폐업) 상ㆍ하수도설비공사업(자진반납) 토공사업(대업종전환) 보링ㆍ그라우팅공사업(대업종전환)[51176]경상남도 창원시 의창구 지귀로 22 , 701호 (강모해수랜드) (봉곡동)
13531354휴먼건축실내건축공사업 실내건축공사업(대업종전환)[51371]경상남도 창원시 의창구 남산로 95-1 204호 (서상동)
13541355흥국B&P(흥국비엔피)가스난방공사업 난방시공업 제1종(대업종전환)[51336]경상남도 창원시 마산합포구 산호동2길 54-4 (산호동)
13551356흥진상사가스난방공사업 난방시공업 제2종(대업종전환)[51677 ]경상남도 창원시 진해구 중원로 45-1 (광화동)