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://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15063992

Alerts

시도 has constant value ""Constant
행정구역코드 is highly overall correlated with 행정구High correlation
행정구 is highly overall correlated with 행정구역코드High correlation

Reproduction

Analysis started2023-12-11 01:00:16.053046
Analysis finished2023-12-11 01:00:17.667749
Duration1.61 second
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

2023-12-11T10:00:17.719160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:17.792719image/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%
Mean3811348.3
Minimum3811111
Maximum3811565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T10:00:17.881448image/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 deviation145.09944
Coefficient of variation (CV)3.807037 × 10-5
Kurtosis-1.2091902
Mean3811348.3
Median Absolute Deviation (MAD)104
Skewness-0.038808789
Sum3.8113483 × 1010
Variance21053.848
MonotonicityNot monotonic
2023-12-11T10:00:18.004472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3811152 428
 
4.3%
3811252 359
 
3.6%
3811411 356
 
3.6%
3811367 319
 
3.2%
3811155 300
 
3.0%
3811153 293
 
2.9%
3811257 286
 
2.9%
3811154 272
 
2.7%
3811131 267
 
2.7%
3811151 266
 
2.7%
Other values (48) 6854
68.5%
ValueCountFrequency (%)
3811111 216
2.2%
3811131 267
2.7%
3811132 192
1.9%
3811151 266
2.7%
3811152 428
4.3%
3811153 293
2.9%
3811154 272
2.7%
3811155 300
3.0%
3811251 165
 
1.7%
3811252 359
3.6%
ValueCountFrequency (%)
3811565 216
2.2%
3811564 136
1.4%
3811563 113
1.1%
3811562 134
1.3%
3811561 131
1.3%
3811560 106
1.1%
3811559 132
1.3%
3811558 140
1.4%
3811557 108
1.1%
3811556 111
1.1%

행정구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
창원시 마산합포구
2487 
창원시 의창구
2234 
창원시 마산회원구
1860 
창원시 진해구
1823 
창원시 성산구
1596 

Length

Max length10
Median length8
Mean length8.8694
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 성산구
2nd row창원시 마산합포구
3rd row창원시 진해구
4th row창원시 성산구
5th row창원시 마산합포구

Common Values

ValueCountFrequency (%)
창원시 마산합포구 2487
24.9%
창원시 의창구 2234
22.3%
창원시 마산회원구 1860
18.6%
창원시 진해구 1823
18.2%
창원시 성산구 1596
16.0%

Length

2023-12-11T10:00:18.120705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:18.217462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 10000
50.0%
마산합포구 2487
 
12.4%
의창구 2234
 
11.2%
마산회원구 1860
 
9.3%
진해구 1823
 
9.1%
성산구 1596
 
8.0%

행정동
Text

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T10:00:18.413297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1159
Min length2

Characters and Unicode

Total characters31159
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 row반송동
2nd row오동동
3rd row웅천동
4th row상남동
5th row반월중앙동
ValueCountFrequency (%)
오동동 512
 
5.1%
중앙동 449
 
4.5%
팔룡동 428
 
4.3%
내서읍 356
 
3.6%
용지동 300
 
3.0%
명곡동 293
 
2.9%
웅남동 286
 
2.9%
봉림동 272
 
2.7%
북면 267
 
2.7%
의창동 266
 
2.7%
Other values (46) 6571
65.7%
2023-12-11T10:00:18.748458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 9695
31.1%
면 994
 
3.2%
산 854
 
2.7%
2 810
 
2.6%
웅 751
 
2.4%
1 658
 
2.1%
성 628
 
2.0%
중 619
 
2.0%
앙 619
 
2.0%
읍 572
 
1.8%
Other values (60) 14959
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29691
95.3%
Decimal Number 1468
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9695
32.7%
면 994
 
3.3%
산 854
 
2.9%
웅 751
 
2.5%
성 628
 
2.1%
중 619
 
2.1%
앙 619
 
2.1%
읍 572
 
1.9%
암 567
 
1.9%
봉 524
 
1.8%
Other values (58) 13868
46.7%
Decimal Number
ValueCountFrequency (%)
2 810
55.2%
1 658
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29691
95.3%
Common 1468
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9695
32.7%
면 994
 
3.3%
산 854
 
2.9%
웅 751
 
2.5%
성 628
 
2.1%
중 619
 
2.1%
앙 619
 
2.1%
읍 572
 
1.9%
암 567
 
1.9%
봉 524
 
1.8%
Other values (58) 13868
46.7%
Common
ValueCountFrequency (%)
2 810
55.2%
1 658
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29691
95.3%
ASCII 1468
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 9695
32.7%
면 994
 
3.3%
산 854
 
2.9%
웅 751
 
2.5%
성 628
 
2.1%
중 619
 
2.1%
앙 619
 
2.1%
읍 572
 
1.9%
암 567
 
1.9%
봉 524
 
1.8%
Other values (58) 13868
46.7%
ASCII
ValueCountFrequency (%)
2 810
55.2%
1 658
44.8%

지역
Text

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T10:00:18.982372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.9853
Min length15

Characters and Unicode

Total characters169853
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 성산구 반송동
2nd row경상남도 창원시 마산합포구 오동동
3rd row경상남도 창원시 진해구 웅천동
4th row경상남도 창원시 성산구 상남동
5th row경상남도 창원시 마산합포구 반월중앙동
ValueCountFrequency (%)
경상남도 10000
25.0%
창원시 10000
25.0%
마산합포구 2487
 
6.2%
의창구 2234
 
5.6%
마산회원구 1860
 
4.7%
진해구 1823
 
4.6%
성산구 1596
 
4.0%
오동동 512
 
1.3%
중앙동 449
 
1.1%
팔룡동 428
 
1.1%
Other values (53) 8611
21.5%
2023-12-11T10:00:19.343183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30000
17.7%
창 12500
 
7.4%
원 12136
 
7.1%
남 10479
 
6.2%
구 10278
 
6.1%
상 10193
 
6.0%
경 10111
 
6.0%
도 10000
 
5.9%
시 10000
 
5.9%
동 9695
 
5.7%
Other values (65) 44461
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138385
81.5%
Space Separator 30000
 
17.7%
Decimal Number 1468
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 12500
 
9.0%
원 12136
 
8.8%
남 10479
 
7.6%
구 10278
 
7.4%
상 10193
 
7.4%
경 10111
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9695
 
7.0%
산 6797
 
4.9%
Other values (62) 36196
26.2%
Decimal Number
ValueCountFrequency (%)
2 810
55.2%
1 658
44.8%
Space Separator
ValueCountFrequency (%)
30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138385
81.5%
Common 31468
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 12500
 
9.0%
원 12136
 
8.8%
남 10479
 
7.6%
구 10278
 
7.4%
상 10193
 
7.4%
경 10111
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9695
 
7.0%
산 6797
 
4.9%
Other values (62) 36196
26.2%
Common
ValueCountFrequency (%)
30000
95.3%
2 810
 
2.6%
1 658
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138385
81.5%
ASCII 31468
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30000
95.3%
2 810
 
2.6%
1 658
 
2.1%
Hangul
ValueCountFrequency (%)
창 12500
 
9.0%
원 12136
 
8.8%
남 10479
 
7.6%
구 10278
 
7.4%
상 10193
 
7.4%
경 10111
 
7.3%
도 10000
 
7.2%
시 10000
 
7.2%
동 9695
 
7.0%
산 6797
 
4.9%
Other values (62) 36196
26.2%

사업체분류코드
Real number (ℝ)

Distinct957
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56026.072
Minimum1140
Maximum96999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T10:00:19.522352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1140
5-th percentile18112
Q142492
median47723
Q375992
95-th percentile95220
Maximum96999
Range95859
Interquartile range (IQR)33500

Descriptive statistics

Standard deviation23668.938
Coefficient of variation (CV)0.42246291
Kurtosis-0.87014013
Mean56026.072
Median Absolute Deviation (MAD)17324
Skewness0.18691153
Sum5.6026072 × 108
Variance5.6021861 × 108
MonotonicityNot monotonic
2023-12-11T10:00:19.714689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47129 45
 
0.4%
96121 44
 
0.4%
68221 43
 
0.4%
85120 42
 
0.4%
56112 42
 
0.4%
96112 41
 
0.4%
96111 41
 
0.4%
47121 41
 
0.4%
47851 40
 
0.4%
56114 40
 
0.4%
Other values (947) 9581
95.8%
ValueCountFrequency (%)
1140 1
 
< 0.1%
1159 1
 
< 0.1%
1299 1
 
< 0.1%
1411 4
< 0.1%
1412 2
 
< 0.1%
2040 3
< 0.1%
7121 2
 
< 0.1%
7122 6
0.1%
7210 1
 
< 0.1%
7290 1
 
< 0.1%
ValueCountFrequency (%)
96999 13
 
0.1%
96995 21
0.2%
96994 7
 
0.1%
96993 11
 
0.1%
96992 27
0.3%
96991 6
 
0.1%
96922 4
 
< 0.1%
96921 22
0.2%
96913 8
 
0.1%
96912 38
0.4%

사업체구분이름
Text

Distinct957
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T10:00:20.074672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length12.0616
Min length2

Characters and Unicode

Total characters120616
Distinct characters422
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

Unique138 ?
Unique (%)1.4%

Sample

1st row애완용 동물 및 관련용품 소매업
2nd row그 외 기타 기계 및 장비 도매업
3rd row기타 과실ㆍ채소 가공 및 저장 처리업
4th row화초 및 식물 소매업
5th row전시 및 광고용 조명장치 제조업
ValueCountFrequency (%)
및 3709
 
10.2%
기타 1720
 
4.7%
제조업 1587
 
4.4%
소매업 1486
 
4.1%
도매업 980
 
2.7%
운영업 584
 
1.6%
외 519
 
1.4%
그 497
 
1.4%
서비스업 466
 
1.3%
자동차 345
 
0.9%
Other values (1263) 24548
67.4%
2023-12-11T10:00:20.664181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26441
21.9%
업 8952
 
7.4%
및 3709
 
3.1%
기 3538
 
2.9%
매 2751
 
2.3%
제 2571
 
2.1%
용 2297
 
1.9%
조 2164
 
1.8%
품 2137
 
1.8%
소 1812
 
1.5%
Other values (412) 64244
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92923
77.0%
Space Separator 26441
 
21.9%
Other Punctuation 1182
 
1.0%
Decimal Number 42
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8952
 
9.6%
및 3709
 
4.0%
기 3538
 
3.8%
매 2751
 
3.0%
제 2571
 
2.8%
용 2297
 
2.5%
조 2164
 
2.3%
품 2137
 
2.3%
소 1812
 
2.0%
타 1780
 
1.9%
Other values (407) 61212
65.9%
Space Separator
ValueCountFrequency (%)
26441
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1182
100.0%
Decimal Number
ValueCountFrequency (%)
1 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92923
77.0%
Common 27693
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8952
 
9.6%
및 3709
 
4.0%
기 3538
 
3.8%
매 2751
 
3.0%
제 2571
 
2.8%
용 2297
 
2.5%
조 2164
 
2.3%
품 2137
 
2.3%
소 1812
 
2.0%
타 1780
 
1.9%
Other values (407) 61212
65.9%
Common
ValueCountFrequency (%)
26441
95.5%
, 1182
 
4.3%
1 42
 
0.2%
( 14
 
0.1%
) 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92542
76.7%
ASCII 27693
 
23.0%
Compat Jamo 381
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26441
95.5%
, 1182
 
4.3%
1 42
 
0.2%
( 14
 
0.1%
) 14
 
0.1%
Hangul
ValueCountFrequency (%)
업 8952
 
9.7%
및 3709
 
4.0%
기 3538
 
3.8%
매 2751
 
3.0%
제 2571
 
2.8%
용 2297
 
2.5%
조 2164
 
2.3%
품 2137
 
2.3%
소 1812
 
2.0%
타 1780
 
1.9%
Other values (406) 60831
65.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 381
100.0%

count
Real number (ℝ)

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7625
Minimum1
Maximum476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T10:00:20.817961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile22
Maximum476
Range475
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.300816
Coefficient of variation (CV)2.4817035
Kurtosis227.16679
Mean5.7625
Median Absolute Deviation (MAD)1
Skewness11.334018
Sum57625
Variance204.51335
MonotonicityNot monotonic
2023-12-11T10:00:20.956605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4142
41.4%
2 1632
 
16.3%
3 926
 
9.3%
4 625
 
6.2%
5 420
 
4.2%
6 324
 
3.2%
7 255
 
2.5%
8 190
 
1.9%
9 170
 
1.7%
10 134
 
1.3%
Other values (109) 1182
 
11.8%
ValueCountFrequency (%)
1 4142
41.4%
2 1632
 
16.3%
3 926
 
9.3%
4 625
 
6.2%
5 420
 
4.2%
6 324
 
3.2%
7 255
 
2.5%
8 190
 
1.9%
9 170
 
1.7%
10 134
 
1.3%
ValueCountFrequency (%)
476 1
< 0.1%
356 1
< 0.1%
311 1
< 0.1%
269 1
< 0.1%
245 1
< 0.1%
192 1
< 0.1%
191 1
< 0.1%
186 2
< 0.1%
176 1
< 0.1%
171 1
< 0.1%

Interactions

2023-12-11T10:00:17.222207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:16.692102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:16.919391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:17.298851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:16.763864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:17.003577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:17.385362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:16.842488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:17.144768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:00:21.347286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역코드행정구행정동지역사업체분류코드count
행정구역코드1.0000.9740.9981.0000.1680.054
행정구0.9741.0000.9991.0000.1880.051
행정동0.9980.9991.0001.0000.3200.000
지역1.0001.0001.0001.0000.3230.000
사업체분류코드0.1680.1880.3200.3231.0000.133
count0.0540.0510.0000.0000.1331.000
2023-12-11T10:00:21.473466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역코드사업체분류코드count행정구
행정구역코드1.0000.101-0.0900.980
사업체분류코드0.1011.0000.1570.079
count-0.0900.1571.0000.029
행정구0.9800.0790.0291.000

Missing values

2023-12-11T10:00:17.502692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:00:17.617091image/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
3415경상남도3811251창원시 성산구반송동경상남도 창원시 성산구 반송동47852애완용 동물 및 관련용품 소매업1
8674경상남도3811367창원시 마산합포구오동동경상남도 창원시 마산합포구 오동동46599그 외 기타 기계 및 장비 도매업11
13929경상남도3811563창원시 진해구웅천동경상남도 창원시 진해구 웅천동10309기타 과실ㆍ채소 가공 및 저장 처리업3
4194경상남도3811253창원시 성산구상남동경상남도 창원시 성산구 상남동47851화초 및 식물 소매업12
8257경상남도3811366창원시 마산합포구반월중앙동경상남도 창원시 마산합포구 반월중앙동28423전시 및 광고용 조명장치 제조업3
6138경상남도3811333창원시 마산합포구진북면경상남도 창원시 마산합포구 진북면37012폐수 처리업1
12431경상남도3811554창원시 진해구여좌동경상남도 창원시 진해구 여좌동47417유아용 의류 소매업1
636경상남도3811131창원시 의창구북면경상남도 창원시 의창구 북면86202치과의원6
2449경상남도3811153창원시 의창구명곡동경상남도 창원시 의창구 명곡동95392가죽, 가방 및 신발 수리업6
11686경상남도3811463창원시 마산합포구오동동경상남도 창원시 마산합포구 오동동41224환경설비 건설업1
시도행정구역코드행정구행정동지역사업체분류코드사업체구분이름count
11331경상남도3811462창원시 마산회원구봉암동경상남도 창원시 마산회원구 봉암동25911분말 야금제품 제조업2
10788경상남도3811459창원시 마산회원구합성2동경상남도 창원시 마산회원구 합성2동47190그 외 기타 종합 소매업3
750경상남도3811132창원시 의창구대산면경상남도 창원시 의창구 대산면27216산업 처리공정 제어장비 제조업8
6657경상남도3811353창원시 마산합포구월영동경상남도 창원시 마산합포구 월영동47190그 외 기타 종합 소매업2
7272경상남도3811358창원시 마산합포구자산동경상남도 창원시 마산합포구 자산동47320가전제품 소매업1
4752경상남도3811255창원시 성산구가음정동경상남도 창원시 성산구 가음정동47413속옷 및 잠옷 소매업11
10799경상남도3811459창원시 마산회원구합성2동경상남도 창원시 마산회원구 합성2동47311컴퓨터 및 주변장치, 소프트웨어 소매업2
2659경상남도3811154창원시 의창구봉림동경상남도 창원시 의창구 봉림동47422의복 액세서리 및 모조 장신구 소매업3
7812경상남도3811364창원시 마산합포구합포동경상남도 창원시 마산합포구 합포동56112한식 면 요리 전문점1
14306경상남도3811565창원시 진해구웅동2동경상남도 창원시 진해구 웅동2동10220수산식물 가공 및 저장 처리업3