Overview

Dataset statistics

Number of variables16
Number of observations358
Missing cells356
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.3 KiB
Average record size in memory132.4 B

Variable types

Numeric1
Text2
Categorical7
Boolean6

Dataset

Description대구 북구 전통시장 28개 중 하나인 전자상가의 상점정보에 대한 csv 파일이다. 시장의 상점들의 주소, 상품권 사용 유무 등의 정보을 파악할 수 있다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15109906/fileData.do

Alerts

소재지 도로명 주소 has constant value ""Constant
소재지 지번주소 has constant value ""Constant
전통시장 상가번영회 가입유무 has constant value ""Constant
온누리 상품권 사용유무 has constant value ""Constant
문화상품권 사용유무 has constant value ""Constant
전자상품권 사용유무 has constant value ""Constant
카드단말기 유무 has constant value ""Constant
종업원 수 has constant value ""Constant
상점 홈페이지 주소 has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
상점업종분류 is highly imbalanced (72.4%)Imbalance
택배서비스 유무 is highly imbalanced (97.2%)Imbalance
상점 홈페이지 주소 has 356 (99.4%) missing valuesMissing
상점코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:32:51.068694
Analysis finished2023-12-12 05:32:52.093790
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상점코드
Real number (ℝ)

UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.09497
Minimum1
Maximum368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T14:32:52.188897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.85
Q190.25
median189.5
Q3278.75
95-th percentile350.15
Maximum368
Range367
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation107.41295
Coefficient of variation (CV)0.57719429
Kurtosis-1.2215362
Mean186.09497
Median Absolute Deviation (MAD)94.5
Skewness-0.04035216
Sum66622
Variance11537.543
MonotonicityStrictly increasing
2023-12-12T14:32:52.403358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
236 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
Other values (348) 348
97.2%
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 (%)
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%

상점명
Text

Distinct287
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T14:32:52.765707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length5.8631285
Min length2

Characters and Unicode

Total characters2099
Distinct characters316
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

Unique236 ?
Unique (%)65.9%

Sample

1st row뷰티월드
2nd row에이스컴퓨터
3rd row에이치알티
4th row진석철강
5th row에이치와이엔지니어링
ValueCountFrequency (%)
주식회사 16
 
4.0%
중앙전자통신 6
 
1.5%
㈜자바씨앤씨 5
 
1.2%
씨씨티비 4
 
1.0%
서치 4
 
1.0%
표준계측기 4
 
1.0%
수성전자 3
 
0.7%
명성테크 3
 
0.7%
올시스 3
 
0.7%
대동무선 3
 
0.7%
Other values (296) 351
87.3%
2023-12-12T14:32:53.302409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 93
 
4.4%
이 68
 
3.2%
전 50
 
2.4%
㈜ 50
 
2.4%
자 47
 
2.2%
45
 
2.1%
대 44
 
2.1%
시 38
 
1.8%
주 36
 
1.7%
아 36
 
1.7%
Other values (306) 1592
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1845
87.9%
Uppercase Letter 80
 
3.8%
Other Symbol 50
 
2.4%
Space Separator 45
 
2.1%
Close Punctuation 22
 
1.0%
Open Punctuation 22
 
1.0%
Lowercase Letter 21
 
1.0%
Other Punctuation 12
 
0.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 93
 
5.0%
이 68
 
3.7%
전 50
 
2.7%
자 47
 
2.5%
대 44
 
2.4%
시 38
 
2.1%
주 36
 
2.0%
아 36
 
2.0%
씨 35
 
1.9%
사 34
 
1.8%
Other values (262) 1364
73.9%
Uppercase Letter
ValueCountFrequency (%)
A 13
16.2%
E 8
10.0%
T 8
10.0%
C 7
8.8%
O 6
 
7.5%
K 5
 
6.2%
V 5
 
6.2%
S 4
 
5.0%
I 4
 
5.0%
M 3
 
3.8%
Other values (11) 17
21.2%
Lowercase Letter
ValueCountFrequency (%)
t 3
14.3%
s 3
14.3%
e 2
9.5%
o 2
9.5%
c 2
9.5%
p 1
 
4.8%
l 1
 
4.8%
r 1
 
4.8%
v 1
 
4.8%
m 1
 
4.8%
Other values (4) 4
19.0%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
/ 5
41.7%
& 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 50
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1895
90.3%
Common 103
 
4.9%
Latin 101
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 93
 
4.9%
이 68
 
3.6%
전 50
 
2.6%
㈜ 50
 
2.6%
자 47
 
2.5%
대 44
 
2.3%
시 38
 
2.0%
주 36
 
1.9%
아 36
 
1.9%
씨 35
 
1.8%
Other values (263) 1398
73.8%
Latin
ValueCountFrequency (%)
A 13
 
12.9%
E 8
 
7.9%
T 8
 
7.9%
C 7
 
6.9%
O 6
 
5.9%
K 5
 
5.0%
V 5
 
5.0%
S 4
 
4.0%
I 4
 
4.0%
M 3
 
3.0%
Other values (25) 38
37.6%
Common
ValueCountFrequency (%)
45
43.7%
) 22
21.4%
( 22
21.4%
. 6
 
5.8%
/ 5
 
4.9%
& 1
 
1.0%
2 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1845
87.9%
ASCII 204
 
9.7%
None 50
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 93
 
5.0%
이 68
 
3.7%
전 50
 
2.7%
자 47
 
2.5%
대 44
 
2.4%
시 38
 
2.1%
주 36
 
2.0%
아 36
 
2.0%
씨 35
 
1.9%
사 34
 
1.8%
Other values (262) 1364
73.9%
None
ValueCountFrequency (%)
㈜ 50
100.0%
ASCII
ValueCountFrequency (%)
45
22.1%
) 22
 
10.8%
( 22
 
10.8%
A 13
 
6.4%
E 8
 
3.9%
T 8
 
3.9%
C 7
 
3.4%
O 6
 
2.9%
. 6
 
2.9%
K 5
 
2.5%
Other values (33) 62
30.4%

소재지 도로명 주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
대구광역시 북구 유통단지로 25
358 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 유통단지로 25
2nd row대구광역시 북구 유통단지로 25
3rd row대구광역시 북구 유통단지로 25
4th row대구광역시 북구 유통단지로 25
5th row대구광역시 북구 유통단지로 25

Common Values

ValueCountFrequency (%)
대구광역시 북구 유통단지로 25 358
100.0%

Length

2023-12-12T14:32:53.471854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:53.599457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 358
25.0%
북구 358
25.0%
유통단지로 358
25.0%
25 358
25.0%

소재지 지번주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
대구광역시 북구 산격동 1626
358 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 산격동 1626
2nd row대구광역시 북구 산격동 1626
3rd row대구광역시 북구 산격동 1626
4th row대구광역시 북구 산격동 1626
5th row대구광역시 북구 산격동 1626

Common Values

ValueCountFrequency (%)
대구광역시 북구 산격동 1626 358
100.0%

Length

2023-12-12T14:32:53.731652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:53.866101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 358
25.0%
북구 358
25.0%
산격동 358
25.0%
1626 358
25.0%

상점업종분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
쇼핑시설
341 
기타
 
17

Length

Max length4
Median length4
Mean length3.9050279
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쇼핑시설 341
95.3%
기타 17
 
4.7%

Length

2023-12-12T14:32:54.044052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:54.187940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쇼핑시설 341
95.3%
기타 17
 
4.7%

대표품목
Categorical

Distinct41
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
기타
59 
컴퓨터
57 
전자제품
47 
통신기기
28 
전자부품
28 
Other values (36)
139 

Length

Max length13
Median length4
Mean length3.8184358
Min length2

Unique

Unique23 ?
Unique (%)6.4%

Sample

1st row기타
2nd row컴퓨터
3rd row컴퓨터
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 59
16.5%
컴퓨터 57
15.9%
전자제품 47
13.1%
통신기기 28
7.8%
전자부품 28
7.8%
CCTV 19
 
5.3%
가전제품 19
 
5.3%
음향기기 16
 
4.5%
계측기기 15
 
4.2%
의료기기 12
 
3.4%
Other values (31) 58
16.2%

Length

2023-12-12T14:32:54.360791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 59
16.0%
컴퓨터 57
15.4%
전자제품 47
12.7%
통신기기 28
7.6%
전자부품 28
7.6%
cctv 19
 
5.1%
가전제품 19
 
5.1%
음향기기 16
 
4.3%
계측기기 15
 
4.1%
의료기기 12
 
3.3%
Other values (36) 69
18.7%

전통시장 상가번영회 가입유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
358 
ValueCountFrequency (%)
True 358
100.0%
2023-12-12T14:32:54.508822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온누리 상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
358 
ValueCountFrequency (%)
True 358
100.0%
2023-12-12T14:32:54.610024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

문화상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
358 
ValueCountFrequency (%)
True 358
100.0%
2023-12-12T14:32:54.709410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전자상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
358 
ValueCountFrequency (%)
True 358
100.0%
2023-12-12T14:32:54.796525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카드단말기 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size490.0 B
True
358 
ValueCountFrequency (%)
True 358
100.0%
2023-12-12T14:32:54.888770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

택배서비스 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size490.0 B
False
357 
True
 
1
ValueCountFrequency (%)
False 357
99.7%
True 1
 
0.3%
2023-12-12T14:32:55.004514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

종업원 수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
358 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 358
100.0%

Length

2023-12-12T14:32:55.137244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:55.283620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 358
100.0%

상점 홈페이지 주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing356
Missing (%)99.4%
Memory size2.9 KiB
2023-12-12T14:32:55.419728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters26
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
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 rowdaewoosys.com
2nd rowdaewoosys.com
ValueCountFrequency (%)
daewoosys.com 2
100.0%
2023-12-12T14:32:55.664246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 6
23.1%
s 4
15.4%
d 2
 
7.7%
a 2
 
7.7%
e 2
 
7.7%
w 2
 
7.7%
y 2
 
7.7%
. 2
 
7.7%
c 2
 
7.7%
m 2
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24
92.3%
Other Punctuation 2
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6
25.0%
s 4
16.7%
d 2
 
8.3%
a 2
 
8.3%
e 2
 
8.3%
w 2
 
8.3%
y 2
 
8.3%
c 2
 
8.3%
m 2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24
92.3%
Common 2
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6
25.0%
s 4
16.7%
d 2
 
8.3%
a 2
 
8.3%
e 2
 
8.3%
w 2
 
8.3%
y 2
 
8.3%
c 2
 
8.3%
m 2
 
8.3%
Common
ValueCountFrequency (%)
. 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 6
23.1%
s 4
15.4%
d 2
 
7.7%
a 2
 
7.7%
e 2
 
7.7%
w 2
 
7.7%
y 2
 
7.7%
. 2
 
7.7%
c 2
 
7.7%
m 2
 
7.7%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
35.906013
358 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.906013
2nd row35.906013
3rd row35.906013
4th row35.906013
5th row35.906013

Common Values

ValueCountFrequency (%)
35.906013 358
100.0%

Length

2023-12-12T14:32:55.796919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:55.892088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.906013 358
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
128.60552
358 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128.60552
2nd row128.60552
3rd row128.60552
4th row128.60552
5th row128.60552

Common Values

ValueCountFrequency (%)
128.60552 358
100.0%

Length

2023-12-12T14:32:55.995231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:56.093145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128.60552 358
100.0%

Interactions

2023-12-12T14:32:51.507951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:32:56.153904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드상점업종분류대표품목택배서비스 유무
상점코드1.0000.3360.4810.000
상점업종분류0.3361.0000.0000.000
대표품목0.4810.0001.0000.000
택배서비스 유무0.0000.0000.0001.000
2023-12-12T14:32:56.249055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
택배서비스 유무상점업종분류대표품목
택배서비스 유무1.0000.0000.000
상점업종분류0.0001.0000.000
대표품목0.0000.0001.000
2023-12-12T14:32:56.350882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드상점업종분류대표품목택배서비스 유무
상점코드1.0000.2550.1640.000
상점업종분류0.2551.0000.0000.000
대표품목0.1640.0001.0000.000
택배서비스 유무0.0000.0000.0001.000

Missing values

2023-12-12T14:32:51.696449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:32:51.999684image/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

상점코드상점명소재지 도로명 주소소재지 지번주소상점업종분류대표품목전통시장 상가번영회 가입유무온누리 상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무종업원 수상점 홈페이지 주소위도경도
01뷰티월드대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설기타YYYYYN1<NA>35.906013128.60552
12에이스컴퓨터대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
23에이치알티대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
34진석철강대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설기타YYYYYN1<NA>35.906013128.60552
45에이치와이엔지니어링대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설기타YYYYYN1<NA>35.906013128.60552
56창신시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설CCTVYYYYYN1<NA>35.906013128.60552
67천기산업대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설전자제품YYYYYN1<NA>35.906013128.60552
78청우컴퓨터대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
89엑사이엔티대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설CCTCYYYYYN1<NA>35.906013128.60552
910청운시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설음향기기YYYYYN1<NA>35.906013128.60552
상점코드상점명소재지 도로명 주소소재지 지번주소상점업종분류대표품목전통시장 상가번영회 가입유무온누리 상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무종업원 수상점 홈페이지 주소위도경도
348359동원시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
349360동휘철강대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설기타YYYYYN1<NA>35.906013128.60552
350361드림스케이프대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설소프트웨어YYYYYN1<NA>35.906013128.60552
351362드림정보시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
352363디지탈솔루션대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
353364라인시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설통신기기YYYYYN1<NA>35.906013128.60552
354365라인시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
355366라인정보대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
356367라인정보대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설컴퓨터YYYYYN1<NA>35.906013128.60552
357368로이시스템대구광역시 북구 유통단지로 25대구광역시 북구 산격동 1626쇼핑시설2동 313호YYYYYN1<NA>35.906013128.60552