Overview

Dataset statistics

Number of variables7
Number of observations461
Missing cells36
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description경상남도 창원시의 실내공기질 측정대상 다중이용시설 명단입니다. 항목은 연번, 사업장명, 주소, 연면적, 연락처를 제공합니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15095306

Alerts

지역 has constant value ""Constant
번호 is highly overall correlated with 기타유의사항High correlation
기타유의사항 is highly overall correlated with 번호High correlation
기타유의사항 is highly imbalanced (60.5%)Imbalance
연락처 has 36 (7.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:41:19.540107
Analysis finished2023-12-10 23:41:20.165939
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231
Minimum1
Maximum461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T08:41:20.239965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1116
median231
Q3346
95-th percentile438
Maximum461
Range460
Interquartile range (IQR)230

Descriptive statistics

Standard deviation133.2235
Coefficient of variation (CV)0.57672509
Kurtosis-1.2
Mean231
Median Absolute Deviation (MAD)115
Skewness0
Sum106491
Variance17748.5
MonotonicityStrictly increasing
2023-12-11T08:41:20.358717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
318 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
Other values (451) 451
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
461 1
0.2%
460 1
0.2%
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%
452 1
0.2%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
경남 창원시
461 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 창원시
2nd row경남 창원시
3rd row경남 창원시
4th row경남 창원시
5th row경남 창원시

Common Values

ValueCountFrequency (%)
경남 창원시 461
100.0%

Length

2023-12-11T08:41:20.475935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:41:20.569411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 461
50.0%
창원시 461
50.0%
Distinct457
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T08:41:20.729832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length9.362256
Min length3

Characters and Unicode

Total characters4316
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)98.3%

Sample

1st row(재)창원문화재단 성산아트홀(실내주차장)
2nd row(재)창원문화재단 성산아트홀(미술관)
3rd row(주)플레이타임그룹 롯데창원플라자
4th rowCGV 창원더시티(1~6관)
5th rowCGV 창원상남(1~5관)
ValueCountFrequency (%)
창원점 10
 
1.7%
롯데백화점 6
 
1.0%
홈플러스 5
 
0.9%
마산점 5
 
0.9%
실내주차장 5
 
0.9%
롯데마트 4
 
0.7%
pc방 4
 
0.7%
장례식장 4
 
0.7%
cgv 3
 
0.5%
pc 3
 
0.5%
Other values (504) 527
91.5%
2023-12-11T08:41:21.094290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
5.7%
134
 
3.1%
116
 
2.7%
105
 
2.4%
104
 
2.4%
102
 
2.4%
100
 
2.3%
98
 
2.3%
) 72
 
1.7%
( 70
 
1.6%
Other values (406) 3169
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3799
88.0%
Uppercase Letter 126
 
2.9%
Space Separator 116
 
2.7%
Decimal Number 93
 
2.2%
Close Punctuation 72
 
1.7%
Open Punctuation 70
 
1.6%
Dash Punctuation 13
 
0.3%
Other Symbol 8
 
0.2%
Lowercase Letter 7
 
0.2%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
246
 
6.5%
134
 
3.5%
105
 
2.8%
104
 
2.7%
102
 
2.7%
100
 
2.6%
98
 
2.6%
68
 
1.8%
66
 
1.7%
65
 
1.7%
Other values (357) 2711
71.4%
Uppercase Letter
ValueCountFrequency (%)
C 33
26.2%
P 25
19.8%
A 8
 
6.3%
K 6
 
4.8%
S 5
 
4.0%
R 4
 
3.2%
V 4
 
3.2%
G 4
 
3.2%
L 4
 
3.2%
U 4
 
3.2%
Other values (13) 29
23.0%
Decimal Number
ValueCountFrequency (%)
1 20
21.5%
6 11
11.8%
8 11
11.8%
9 10
10.8%
5 9
9.7%
2 8
 
8.6%
0 8
 
8.6%
3 6
 
6.5%
7 6
 
6.5%
4 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
14.3%
t 1
14.3%
h 1
14.3%
e 1
14.3%
a 1
14.3%
r 1
14.3%
k 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 2
33.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3807
88.2%
Common 376
 
8.7%
Latin 133
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
246
 
6.5%
134
 
3.5%
105
 
2.8%
104
 
2.7%
102
 
2.7%
100
 
2.6%
98
 
2.6%
68
 
1.8%
66
 
1.7%
65
 
1.7%
Other values (358) 2719
71.4%
Latin
ValueCountFrequency (%)
C 33
24.8%
P 25
18.8%
A 8
 
6.0%
K 6
 
4.5%
S 5
 
3.8%
R 4
 
3.0%
V 4
 
3.0%
G 4
 
3.0%
L 4
 
3.0%
U 4
 
3.0%
Other values (20) 36
27.1%
Common
ValueCountFrequency (%)
116
30.9%
) 72
19.1%
( 70
18.6%
1 20
 
5.3%
- 13
 
3.5%
6 11
 
2.9%
8 11
 
2.9%
9 10
 
2.7%
5 9
 
2.4%
2 8
 
2.1%
Other values (8) 36
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3799
88.0%
ASCII 509
 
11.8%
None 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
246
 
6.5%
134
 
3.5%
105
 
2.8%
104
 
2.7%
102
 
2.7%
100
 
2.6%
98
 
2.6%
68
 
1.8%
66
 
1.7%
65
 
1.7%
Other values (357) 2711
71.4%
ASCII
ValueCountFrequency (%)
116
22.8%
) 72
14.1%
( 70
13.8%
C 33
 
6.5%
P 25
 
4.9%
1 20
 
3.9%
- 13
 
2.6%
6 11
 
2.2%
8 11
 
2.2%
9 10
 
2.0%
Other values (38) 128
25.1%
None
ValueCountFrequency (%)
8
100.0%
Distinct426
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T08:41:21.330891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length27.685466
Min length17

Characters and Unicode

Total characters12763
Distinct characters246
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)85.2%

Sample

1st row경남 창원시 성산구 중앙대로 181(용호동)
2nd row경남 창원시 성산구 중앙대로 181(용호동)
3rd row경남 창원시 성산구 중앙대로 124, 7층(상남동)
4th row경남 창원시 성산구 원이대로 320, 3층(대원동, 더시티세븐몰)
5th row경남 창원시 성산구 중앙대로100번길 13, 6층(상남동)
ValueCountFrequency (%)
창원시 462
 
17.9%
경남 352
 
13.7%
성산구 148
 
5.7%
의창구 112
 
4.4%
경상남도 109
 
4.2%
마산합포구 83
 
3.2%
진해구 57
 
2.2%
중앙대로 25
 
1.0%
마산회원구 23
 
0.9%
마산회원구창원시 21
 
0.8%
Other values (774) 1182
45.9%
2023-12-11T08:41:21.798663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2119
 
16.6%
658
 
5.2%
634
 
5.0%
550
 
4.3%
494
 
3.9%
493
 
3.9%
473
 
3.7%
455
 
3.6%
416
 
3.3%
( 377
 
3.0%
Other values (236) 6094
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7977
62.5%
Space Separator 2119
 
16.6%
Decimal Number 1692
 
13.3%
Open Punctuation 377
 
3.0%
Close Punctuation 377
 
3.0%
Other Punctuation 133
 
1.0%
Dash Punctuation 63
 
0.5%
Uppercase Letter 18
 
0.1%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
658
 
8.2%
634
 
7.9%
550
 
6.9%
494
 
6.2%
493
 
6.2%
473
 
5.9%
455
 
5.7%
416
 
5.2%
358
 
4.5%
191
 
2.4%
Other values (207) 3255
40.8%
Uppercase Letter
ValueCountFrequency (%)
F 3
16.7%
C 3
16.7%
B 3
16.7%
A 2
11.1%
H 1
 
5.6%
J 1
 
5.6%
K 1
 
5.6%
Y 1
 
5.6%
W 1
 
5.6%
M 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 332
19.6%
2 213
12.6%
3 209
12.4%
5 191
11.3%
4 153
9.0%
7 140
8.3%
6 130
 
7.7%
8 127
 
7.5%
0 111
 
6.6%
9 86
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 110
82.7%
. 15
 
11.3%
· 8
 
6.0%
Space Separator
ValueCountFrequency (%)
2119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7977
62.5%
Common 4768
37.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
658
 
8.2%
634
 
7.9%
550
 
6.9%
494
 
6.2%
493
 
6.2%
473
 
5.9%
455
 
5.7%
416
 
5.2%
358
 
4.5%
191
 
2.4%
Other values (207) 3255
40.8%
Common
ValueCountFrequency (%)
2119
44.4%
( 377
 
7.9%
) 377
 
7.9%
1 332
 
7.0%
2 213
 
4.5%
3 209
 
4.4%
5 191
 
4.0%
4 153
 
3.2%
7 140
 
2.9%
6 130
 
2.7%
Other values (8) 527
 
11.1%
Latin
ValueCountFrequency (%)
F 3
16.7%
C 3
16.7%
B 3
16.7%
A 2
11.1%
H 1
 
5.6%
J 1
 
5.6%
K 1
 
5.6%
Y 1
 
5.6%
W 1
 
5.6%
M 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7977
62.5%
ASCII 4778
37.4%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2119
44.3%
( 377
 
7.9%
) 377
 
7.9%
1 332
 
6.9%
2 213
 
4.5%
3 209
 
4.4%
5 191
 
4.0%
4 153
 
3.2%
7 140
 
2.9%
6 130
 
2.7%
Other values (18) 537
 
11.2%
Hangul
ValueCountFrequency (%)
658
 
8.2%
634
 
7.9%
550
 
6.9%
494
 
6.2%
493
 
6.2%
473
 
5.9%
455
 
5.7%
416
 
5.2%
358
 
4.5%
191
 
2.4%
Other values (207) 3255
40.8%
None
ValueCountFrequency (%)
· 8
100.0%
Distinct440
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T08:41:22.255724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length4
Mean length3.9718004
Min length3

Characters and Unicode

Total characters1831
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)91.8%

Sample

1st row19006
2nd row3782
3rd row1378
4th row1773
5th row903
ValueCountFrequency (%)
2843 3
 
0.6%
442 3
 
0.6%
639 3
 
0.6%
495 3
 
0.6%
607 2
 
0.4%
492 2
 
0.4%
557 2
 
0.4%
3238 2
 
0.4%
747 2
 
0.4%
510 2
 
0.4%
Other values (432) 439
94.8%
2023-12-11T08:41:22.872454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 216
11.8%
1 212
11.6%
4 208
11.4%
3 207
11.3%
5 186
10.2%
9 181
9.9%
0 154
8.4%
8 152
8.3%
6 147
8.0%
7 142
7.8%
Other values (8) 26
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1805
98.6%
Other Punctuation 8
 
0.4%
Space Separator 7
 
0.4%
Other Letter 5
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 216
12.0%
1 212
11.7%
4 208
11.5%
3 207
11.5%
5 186
10.3%
9 181
10.0%
0 154
8.5%
8 152
8.4%
6 147
8.1%
7 142
7.9%
Other Letter
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 3
37.5%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1826
99.7%
Hangul 5
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 216
11.8%
1 212
11.6%
4 208
11.4%
3 207
11.3%
5 186
10.2%
9 181
9.9%
0 154
8.4%
8 152
8.3%
6 147
8.1%
7 142
7.8%
Other values (5) 21
 
1.2%
Hangul
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1826
99.7%
Hangul 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 216
11.8%
1 212
11.6%
4 208
11.4%
3 207
11.3%
5 186
10.2%
9 181
9.9%
0 154
8.4%
8 152
8.3%
6 147
8.1%
7 142
7.8%
Other values (5) 21
 
1.2%
Hangul
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%

연락처
Text

MISSING 

Distinct401
Distinct (%)94.4%
Missing36
Missing (%)7.8%
Memory size3.7 KiB
2023-12-11T08:41:23.161071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011765
Min length12

Characters and Unicode

Total characters5105
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)89.4%

Sample

1st row055-266-8063
2nd row055-266-8063
3rd row055-261-5515
4th row055-600-5400
5th row055-911-1480
ValueCountFrequency (%)
055-279-2811 4
 
0.9%
055-225-1849 3
 
0.7%
055-230-9139 2
 
0.5%
055-262-1494 2
 
0.5%
055-540-8119 2
 
0.5%
055-212-8035 2
 
0.5%
055-268-5605 2
 
0.5%
055-270-1470 2
 
0.5%
055-266-8063 2
 
0.5%
055-277-5331 2
 
0.5%
Other values (393) 404
94.6%
2023-12-11T08:41:23.566847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1158
22.7%
- 848
16.6%
0 824
16.1%
2 595
11.7%
1 304
 
6.0%
7 259
 
5.1%
4 256
 
5.0%
8 227
 
4.4%
3 222
 
4.3%
6 207
 
4.1%
Other values (2) 205
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4254
83.3%
Dash Punctuation 848
 
16.6%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1158
27.2%
0 824
19.4%
2 595
14.0%
1 304
 
7.1%
7 259
 
6.1%
4 256
 
6.0%
8 227
 
5.3%
3 222
 
5.2%
6 207
 
4.9%
9 202
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 848
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1158
22.7%
- 848
16.6%
0 824
16.1%
2 595
11.7%
1 304
 
6.0%
7 259
 
5.1%
4 256
 
5.0%
8 227
 
4.4%
3 222
 
4.3%
6 207
 
4.1%
Other values (2) 205
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1158
22.7%
- 848
16.6%
0 824
16.1%
2 595
11.7%
1 304
 
6.0%
7 259
 
5.1%
4 256
 
5.0%
8 227
 
4.4%
3 222
 
4.3%
6 207
 
4.1%
Other values (2) 205
 
4.0%

기타유의사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
425 
전화번호 미등재
 
36

Length

Max length8
Median length4
Mean length4.3123644
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 425
92.2%
전화번호 미등재 36
 
7.8%

Length

2023-12-11T08:41:23.741080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:41:23.846610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 425
85.5%
전화번호 36
 
7.2%
미등재 36
 
7.2%

Interactions

2023-12-11T08:41:19.933547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:41:23.912496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호
번호1.000
2023-12-11T08:41:24.010317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기타유의사항
번호1.0001.000
기타유의사항1.0001.000

Missing values

2023-12-11T08:41:20.025017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:41:20.125732image/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

번호지역사업장명주소(도로명주소)연면적(제곱미터)연락처기타유의사항
01경남 창원시(재)창원문화재단 성산아트홀(실내주차장)경남 창원시 성산구 중앙대로 181(용호동)19006055-266-8063<NA>
12경남 창원시(재)창원문화재단 성산아트홀(미술관)경남 창원시 성산구 중앙대로 181(용호동)3782055-266-8063<NA>
23경남 창원시(주)플레이타임그룹 롯데창원플라자경남 창원시 성산구 중앙대로 124, 7층(상남동)1378055-261-5515<NA>
34경남 창원시CGV 창원더시티(1~6관)경남 창원시 성산구 원이대로 320, 3층(대원동, 더시티세븐몰)1773055-600-5400<NA>
45경남 창원시CGV 창원상남(1~5관)경남 창원시 성산구 중앙대로100번길 13, 6층(상남동)903055-911-1480<NA>
56경남 창원시KERI꿈터어린이집경남 창원시 성산구 전기의길 10(성주동)594055-282-6242<NA>
67경남 창원시LG전자창원어린이집경남 창원시 성산구 성산패총로178번길 6(가음정동)481055-260-3051<NA>
78경남 창원시모아엔트몰빌딩경남 창원시 성산구 마디미로43번길 10(상남동)5252055-282-8765<NA>
89경남 창원시NU PC 창원상남점경남 창원시 성산구 마디미로22번길 6, 302, 302-1, 303, 304호(상남동, 와이탑빌딩)442<NA>전화번호 미등재
910경남 창원시NU PC 창원상남2호점경남 창원시 성산구 마디미로10번길 10, 2층(상남동, 리더궁빌딩)400<NA>전화번호 미등재
번호지역사업장명주소(도로명주소)연면적(제곱미터)연락처기타유의사항
451452경남 창원시D7 park경상남도 창원시 의창구 중동중앙로 832656055-298-0760<NA>
452453경남 창원시한마음빌딩경상남도 창원시 의창구 용동로 853640055-286-3005<NA>
453454경남 창원시라움산후조리원경상남도 창원시 의창구 중동중앙로 83, 7층798055-276-9242<NA>
454455경남 창원시맘스힐산후조리원경남 창원시 의창구 용동로 83번길 안길3745.20.055-274-3575<NA>
455456경남 창원시더서울병원창원시 의창구 천주로14(서상동)3133055-298-3533<NA>
456457경남 창원시최윤덕 도서관경상남도 창원시 의창구 북면 무동서로674485055-225-7395<NA>
457458경남 창원시의창구청 실내주차장경상남도 창원시 의창구 도계동 4685493055-212-4045<NA>
458459경남 창원시유탑바이탈시티 실내주차장경상남도 창원시 의창구 사림동 163-112007055-713-5525<NA>
459460경남 창원시협성루에나 실내주차장경상남도 창원시 의창구 사림동 162-64273055-266-1052<NA>
460461경남 창원시SH타워 실내주차장경상남도 창원시 의창구 사림동 165-82084055-263-5200<NA>