Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Categorical2
Numeric3
Text3

Dataset

Description창원시 사업체분석을 위한 행정구역코드, 사업체구분이름,사업체분류코드, 사업체구분이름 등에 대한 데이터이다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15063992/fileData.do

Alerts

시도 has constant value ""Constant
행정구역코드 is highly overall correlated with 행정구High correlation
행정구 is highly overall correlated with 행정구역코드High correlation
count is highly skewed (γ1 = 54.92379459)Skewed

Reproduction

Analysis started2023-12-12 08:24:45.204712
Analysis finished2023-12-12 08:24:47.635174
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상남도
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 10000
100.0%

Length

2023-12-12T17:24:47.694369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:47.783681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
100.0%

행정구역코드
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3811347.2
Minimum3811111
Maximum3811565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:24:47.896361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3811111
5-th percentile3811132
Q13811252
median3811358
Q33811459
95-th percentile3811562
Maximum3811565
Range454
Interquartile range (IQR)207

Descriptive statistics

Standard deviation145.86395
Coefficient of variation (CV)3.827097 × 10-5
Kurtosis-1.2220171
Mean3811347.2
Median Absolute Deviation (MAD)105
Skewness-0.023478983
Sum3.8113472 × 1010
Variance21276.293
MonotonicityNot monotonic
2023-12-12T17:24:48.043166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3811152 453
 
4.5%
3811252 356
 
3.6%
3811411 341
 
3.4%
3811153 315
 
3.1%
3811367 314
 
3.1%
3811154 287
 
2.9%
3811257 283
 
2.8%
3811155 283
 
2.8%
3811151 266
 
2.7%
3811131 258
 
2.6%
Other values (48) 6844
68.4%
ValueCountFrequency (%)
3811111 220
2.2%
3811131 258
2.6%
3811132 200
2.0%
3811151 266
2.7%
3811152 453
4.5%
3811153 315
3.1%
3811154 287
2.9%
3811155 283
2.8%
3811251 163
 
1.6%
3811252 356
3.6%
ValueCountFrequency (%)
3811565 222
2.2%
3811564 148
1.5%
3811563 108
1.1%
3811562 134
1.3%
3811561 126
1.3%
3811560 96
1.0%
3811559 139
1.4%
3811558 151
1.5%
3811557 112
1.1%
3811556 119
1.2%

행정구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
창원시 마산합포구
2490 
창원시 의창구
2282 
창원시 진해구
1846 
창원시 마산회원구
1790 
창원시 성산구
1592 

Length

Max length10
Median length8
Mean length8.856
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 마산회원구
2nd row창원시 의창구
3rd row창원시 의창구
4th row창원시 진해구
5th row창원시 마산회원구

Common Values

ValueCountFrequency (%)
창원시 마산합포구 2490
24.9%
창원시 의창구 2282
22.8%
창원시 진해구 1846
18.5%
창원시 마산회원구 1790
17.9%
창원시 성산구 1592
15.9%

Length

2023-12-12T17:24:48.234421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:48.363473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 10000
50.0%
마산합포구 2490
 
12.4%
의창구 2282
 
11.4%
진해구 1846
 
9.2%
마산회원구 1790
 
8.9%
성산구 1592
 
8.0%

행정동
Text

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:24:48.625289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1111
Min length2

Characters and Unicode

Total characters31111
Distinct characters70
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내서읍
2nd row봉림동
3rd row대산면
4th row웅동1동
5th row내서읍
ValueCountFrequency (%)
오동동 510
 
5.1%
팔룡동 453
 
4.5%
중앙동 450
 
4.5%
내서읍 341
 
3.4%
명곡동 315
 
3.1%
봉림동 287
 
2.9%
웅남동 283
 
2.8%
용지동 283
 
2.8%
의창동 266
 
2.7%
북면 258
 
2.6%
Other values (46) 6554
65.5%
2023-12-12T17:24:49.023880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 9729
31.3%
면 995
 
3.2%
산 867
 
2.8%
2 791
 
2.5%
웅 761
 
2.4%
성 642
 
2.1%
1 642
 
2.1%
중 630
 
2.0%
앙 630
 
2.0%
읍 561
 
1.8%
Other values (60) 14863
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29678
95.4%
Decimal Number 1433
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9729
32.8%
면 995
 
3.4%
산 867
 
2.9%
웅 761
 
2.6%
성 642
 
2.2%
중 630
 
2.1%
앙 630
 
2.1%
읍 561
 
1.9%
암 547
 
1.8%
봉 523
 
1.8%
Other values (58) 13793
46.5%
Decimal Number
ValueCountFrequency (%)
2 791
55.2%
1 642
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29678
95.4%
Common 1433
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9729
32.8%
면 995
 
3.4%
산 867
 
2.9%
웅 761
 
2.6%
성 642
 
2.2%
중 630
 
2.1%
앙 630
 
2.1%
읍 561
 
1.9%
암 547
 
1.8%
봉 523
 
1.8%
Other values (58) 13793
46.5%
Common
ValueCountFrequency (%)
2 791
55.2%
1 642
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29678
95.4%
ASCII 1433
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 9729
32.8%
면 995
 
3.4%
산 867
 
2.9%
웅 761
 
2.6%
성 642
 
2.2%
중 630
 
2.1%
앙 630
 
2.1%
읍 561
 
1.9%
암 547
 
1.8%
봉 523
 
1.8%
Other values (58) 13793
46.5%
ASCII
ValueCountFrequency (%)
2 791
55.2%
1 642
44.8%

지역
Text

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:24:49.350490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.9671
Min length15

Characters and Unicode

Total characters169671
Distinct characters75
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

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 창원시 마산회원구 내서읍
2nd row경상남도 창원시 의창구 봉림동
3rd row경상남도 창원시 의창구 대산면
4th row경상남도 창원시 진해구 웅동1동
5th row경상남도 창원시 마산회원구 내서읍
ValueCountFrequency (%)
경상남도 10000
25.0%
창원시 10000
25.0%
마산합포구 2490
 
6.2%
의창구 2282
 
5.7%
진해구 1846
 
4.6%
마산회원구 1790
 
4.5%
성산구 1592
 
4.0%
오동동 510
 
1.3%
팔룡동 453
 
1.1%
중앙동 450
 
1.1%
Other values (53) 8587
21.5%
2023-12-12T17:24:49.782415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30000
17.7%
창 12548
 
7.4%
원 12039
 
7.1%
남 10482
 
6.2%
구 10275
 
6.1%
상 10199
 
6.0%
경 10119
 
6.0%
도 10000
 
5.9%
시 10000
 
5.9%
동 9729
 
5.7%
Other values (65) 44280
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138238
81.5%
Space Separator 30000
 
17.7%
Decimal Number 1433
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 12548
 
9.1%
원 12039
 
8.7%
남 10482
 
7.6%
구 10275
 
7.4%
상 10199
 
7.4%
경 10119
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9729
 
7.0%
산 6739
 
4.9%
Other values (62) 36108
26.1%
Decimal Number
ValueCountFrequency (%)
2 791
55.2%
1 642
44.8%
Space Separator
ValueCountFrequency (%)
30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138238
81.5%
Common 31433
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 12548
 
9.1%
원 12039
 
8.7%
남 10482
 
7.6%
구 10275
 
7.4%
상 10199
 
7.4%
경 10119
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9729
 
7.0%
산 6739
 
4.9%
Other values (62) 36108
26.1%
Common
ValueCountFrequency (%)
30000
95.4%
2 791
 
2.5%
1 642
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138238
81.5%
ASCII 31433
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30000
95.4%
2 791
 
2.5%
1 642
 
2.0%
Hangul
ValueCountFrequency (%)
창 12548
 
9.1%
원 12039
 
8.7%
남 10482
 
7.6%
구 10275
 
7.4%
상 10199
 
7.4%
경 10119
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9729
 
7.0%
산 6739
 
4.9%
Other values (62) 36108
26.1%

사업체분류코드
Real number (ℝ)

Distinct952
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55824.771
Minimum1123
Maximum96999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:24:50.002631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1123
5-th percentile18112.95
Q142491
median47712
Q375210
95-th percentile95310
Maximum96999
Range95876
Interquartile range (IQR)32719

Descriptive statistics

Standard deviation23571.529
Coefficient of variation (CV)0.42224139
Kurtosis-0.83732956
Mean55824.771
Median Absolute Deviation (MAD)16419
Skewness0.20343568
Sum5.5824771 × 108
Variance5.5561696 × 108
MonotonicityNot monotonic
2023-12-12T17:24:50.184721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87210 45
 
0.4%
47811 43
 
0.4%
56219 43
 
0.4%
96912 43
 
0.4%
91223 43
 
0.4%
96121 43
 
0.4%
85120 42
 
0.4%
47212 42
 
0.4%
47511 42
 
0.4%
56191 41
 
0.4%
Other values (942) 9573
95.7%
ValueCountFrequency (%)
1123 1
 
< 0.1%
1140 1
 
< 0.1%
1299 2
< 0.1%
1411 3
< 0.1%
1412 2
< 0.1%
2040 3
< 0.1%
7121 3
< 0.1%
7122 4
< 0.1%
7210 1
 
< 0.1%
10121 3
< 0.1%
ValueCountFrequency (%)
96999 10
 
0.1%
96995 21
0.2%
96994 9
 
0.1%
96993 11
 
0.1%
96992 30
0.3%
96991 8
 
0.1%
96922 5
 
0.1%
96921 15
 
0.1%
96913 8
 
0.1%
96912 43
0.4%

사업체구분이름
Text

Distinct952
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:24:50.569574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length12.0533
Min length2

Characters and Unicode

Total characters120533
Distinct characters423
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)1.3%

Sample

1st row비알코올 음료 도매업
2nd row종합복지관 운영업
3rd row그 외 기타 축산업
4th row기체 연료 및 관련제품 도매업
5th row민족 종교 단체
ValueCountFrequency (%)
및 3699
 
10.1%
기타 1760
 
4.8%
제조업 1568
 
4.3%
소매업 1513
 
4.2%
도매업 988
 
2.7%
운영업 593
 
1.6%
외 534
 
1.5%
그 519
 
1.4%
서비스업 449
 
1.2%
공사업 338
 
0.9%
Other values (1247) 24495
67.2%
2023-12-12T17:24:51.081183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26456
21.9%
업 8967
 
7.4%
및 3699
 
3.1%
기 3599
 
3.0%
매 2806
 
2.3%
제 2550
 
2.1%
용 2238
 
1.9%
조 2152
 
1.8%
품 2105
 
1.7%
소 1835
 
1.5%
Other values (413) 64126
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92853
77.0%
Space Separator 26456
 
21.9%
Other Punctuation 1172
 
1.0%
Decimal Number 32
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8967
 
9.7%
및 3699
 
4.0%
기 3599
 
3.9%
매 2806
 
3.0%
제 2550
 
2.7%
용 2238
 
2.4%
조 2152
 
2.3%
품 2105
 
2.3%
소 1835
 
2.0%
타 1815
 
2.0%
Other values (408) 61087
65.8%
Space Separator
ValueCountFrequency (%)
26456
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1172
100.0%
Decimal Number
ValueCountFrequency (%)
1 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92853
77.0%
Common 27680
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8967
 
9.7%
및 3699
 
4.0%
기 3599
 
3.9%
매 2806
 
3.0%
제 2550
 
2.7%
용 2238
 
2.4%
조 2152
 
2.3%
품 2105
 
2.3%
소 1835
 
2.0%
타 1815
 
2.0%
Other values (408) 61087
65.8%
Common
ValueCountFrequency (%)
26456
95.6%
, 1172
 
4.2%
1 32
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92464
76.7%
ASCII 27680
 
23.0%
Compat Jamo 389
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26456
95.6%
, 1172
 
4.2%
1 32
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 8967
 
9.7%
및 3699
 
4.0%
기 3599
 
3.9%
매 2806
 
3.0%
제 2550
 
2.8%
용 2238
 
2.4%
조 2152
 
2.3%
품 2105
 
2.3%
소 1835
 
2.0%
타 1815
 
2.0%
Other values (407) 60698
65.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 389
100.0%

count
Real number (ℝ)

SKEWED 

Distinct120
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0078
Minimum1
Maximum1906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:24:51.236507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile22
Maximum1906
Range1905
Interquartile range (IQR)4

Descriptive statistics

Standard deviation23.52986
Coefficient of variation (CV)3.9165518
Kurtosis4279.4396
Mean6.0078
Median Absolute Deviation (MAD)1
Skewness54.923795
Sum60078
Variance553.6543
MonotonicityNot monotonic
2023-12-12T17:24:51.377763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4079
40.8%
2 1624
 
16.2%
3 952
 
9.5%
4 624
 
6.2%
5 413
 
4.1%
6 344
 
3.4%
7 267
 
2.7%
8 176
 
1.8%
9 169
 
1.7%
10 143
 
1.4%
Other values (110) 1209
 
12.1%
ValueCountFrequency (%)
1 4079
40.8%
2 1624
 
16.2%
3 952
 
9.5%
4 624
 
6.2%
5 413
 
4.1%
6 344
 
3.4%
7 267
 
2.7%
8 176
 
1.8%
9 169
 
1.7%
10 143
 
1.4%
ValueCountFrequency (%)
1906 1
< 0.1%
476 1
< 0.1%
337 1
< 0.1%
311 1
< 0.1%
248 1
< 0.1%
192 1
< 0.1%
188 1
< 0.1%
186 1
< 0.1%
170 1
< 0.1%
169 1
< 0.1%

Interactions

2023-12-12T17:24:47.034045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.204810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.669594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:47.158339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.362993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.781871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:47.276139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.515616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:46.911711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:24:51.485780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역코드행정구행정동지역사업체분류코드count
행정구역코드1.0000.9740.9981.0000.1660.000
행정구0.9741.0000.9991.0000.1850.005
행정동0.9980.9991.0001.0000.3220.000
지역1.0001.0001.0001.0000.3230.000
사업체분류코드0.1660.1850.3220.3231.0000.032
count0.0000.0050.0000.0000.0321.000
2023-12-12T17:24:51.592147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역코드사업체분류코드count행정구
행정구역코드1.0000.095-0.1000.979
사업체분류코드0.0951.0000.1590.078
count-0.1000.1591.0000.004
행정구0.9790.0780.0041.000

Missing values

2023-12-12T17:24:47.434084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:24:47.575010image/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

시도행정구역코드행정구행정동지역사업체분류코드사업체구분이름count
9179경상남도3811411창원시 마산회원구내서읍경상남도 창원시 마산회원구 내서읍46332비알코올 음료 도매업5
2820경상남도3811154창원시 의창구봉림동경상남도 창원시 의창구 봉림동87292종합복지관 운영업3
683경상남도3811132창원시 의창구대산면경상남도 창원시 의창구 대산면1299그 외 기타 축산업2
14181경상남도3811564창원시 진해구웅동1동경상남도 창원시 진해구 웅동1동46713기체 연료 및 관련제품 도매업1
9426경상남도3811411창원시 마산회원구내서읍경상남도 창원시 마산회원구 내서읍94914민족 종교 단체1
3318경상남도3811251창원시 성산구반송동경상남도 창원시 성산구 반송동26529기타 음향기기 제조업1
2448경상남도3811153창원시 의창구명곡동경상남도 창원시 의창구 명곡동95391의복 및 기타 가정용 직물제품 수리업27
5891경상남도3811332창원시 마산합포구진동면경상남도 창원시 마산합포구 진동면47852애완용 동물 및 관련용품 소매업1
13631경상남도3811561창원시 진해구덕산동경상남도 창원시 진해구 덕산동47640게임용구, 인형 및 장난감 소매업1
14536경상남도3811565창원시 진해구웅동2동경상남도 창원시 진해구 웅동2동75110고용 알선업5
시도행정구역코드행정구행정동지역사업체분류코드사업체구분이름count
2074경상남도3811153창원시 의창구명곡동경상남도 창원시 의창구 명곡동28421운송장비용 조명장치 제조업1
5833경상남도3811332창원시 마산합포구진동면경상남도 창원시 마산합포구 진동면46321육류 가공식품 도매업1
7478경상남도3811361창원시 마산합포구교방동경상남도 창원시 마산합포구 교방동87210보육시설 운영업8
3109경상남도3811155창원시 의창구용지동경상남도 창원시 의창구 용지동59114방송 프로그램 제작업1
12390경상남도3811554창원시 진해구여좌동경상남도 창원시 진해구 여좌동27192정형 외과용 및 신체 보정용 기기 제조업2
12733경상남도3811556창원시 진해구경화동경상남도 창원시 진해구 경화동47612문구용품 및 회화용품 소매업2
8325경상남도3811366창원시 마산합포구반월중앙동경상남도 창원시 마산합포구 반월중앙동47221음료 소매업2
4956경상남도3811256창원시 성산구성주동경상남도 창원시 성산구 성주동28202축전지 제조업4
12612경상남도3811555창원시 진해구태백동경상남도 창원시 진해구 태백동47862중고 가전제품 및 통신장비 소매업3
2939경상남도3811155창원시 의창구용지동경상남도 창원시 의창구 용지동41229기타 토목 시설물 건설업3