Overview

Dataset statistics

Number of variables6
Number of observations505
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory50.3 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description대구광역시 북구 관내 대기오염물질 배출시설(시설명, 소재지지번주소, 소재지도로명주소 등) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15006301/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation

Reproduction

Analysis started2023-12-12 14:57:43.764656
Analysis finished2023-12-12 14:57:44.615894
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct490
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T23:57:44.795572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length6.1326733
Min length2

Characters and Unicode

Total characters3097
Distinct characters320
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

Unique475 ?
Unique (%)94.1%

Sample

1st row제일농공사
2nd row(주)대철
3rd row럭키모터스
4th row상우정공
5th row(주)비에스지
ValueCountFrequency (%)
주식회사 16
 
2.9%
경북대학교 3
 
0.5%
주)씨엠에스 3
 
0.5%
우성산업 3
 
0.5%
주성테크 2
 
0.4%
일성산업 2
 
0.4%
윤금사 2
 
0.4%
대구점 2
 
0.4%
보광열처리 2
 
0.4%
건영산업(주 2
 
0.4%
Other values (503) 517
93.3%
2023-12-12T23:57:45.150487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 122
 
3.9%
업 119
 
3.8%
금 102
 
3.3%
산 97
 
3.1%
) 94
 
3.0%
( 93
 
3.0%
대 89
 
2.9%
사 75
 
2.4%
성 72
 
2.3%
속 67
 
2.2%
Other values (310) 2167
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2760
89.1%
Close Punctuation 95
 
3.1%
Open Punctuation 94
 
3.0%
Uppercase Letter 65
 
2.1%
Space Separator 50
 
1.6%
Other Punctuation 16
 
0.5%
Decimal Number 13
 
0.4%
Lowercase Letter 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 122
 
4.4%
업 119
 
4.3%
금 102
 
3.7%
산 97
 
3.5%
대 89
 
3.2%
사 75
 
2.7%
성 72
 
2.6%
속 67
 
2.4%
공 64
 
2.3%
동 48
 
1.7%
Other values (277) 1905
69.0%
Uppercase Letter
ValueCountFrequency (%)
T 8
12.3%
C 8
12.3%
S 6
9.2%
E 5
 
7.7%
P 5
 
7.7%
G 4
 
6.2%
J 4
 
6.2%
B 4
 
6.2%
K 4
 
6.2%
M 3
 
4.6%
Other values (9) 14
21.5%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
1 6
46.2%
3 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
d 1
33.3%
e 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 94
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 93
98.9%
[ 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 10
62.5%
& 6
37.5%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2761
89.2%
Common 268
 
8.7%
Latin 68
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 122
 
4.4%
업 119
 
4.3%
금 102
 
3.7%
산 97
 
3.5%
대 89
 
3.2%
사 75
 
2.7%
성 72
 
2.6%
속 67
 
2.4%
공 64
 
2.3%
동 48
 
1.7%
Other values (278) 1906
69.0%
Latin
ValueCountFrequency (%)
T 8
11.8%
C 8
11.8%
S 6
 
8.8%
E 5
 
7.4%
P 5
 
7.4%
G 4
 
5.9%
J 4
 
5.9%
B 4
 
5.9%
K 4
 
5.9%
M 3
 
4.4%
Other values (12) 17
25.0%
Common
ValueCountFrequency (%)
) 94
35.1%
( 93
34.7%
50
18.7%
. 10
 
3.7%
& 6
 
2.2%
2 6
 
2.2%
1 6
 
2.2%
] 1
 
0.4%
[ 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2760
89.1%
ASCII 336
 
10.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 122
 
4.4%
업 119
 
4.3%
금 102
 
3.7%
산 97
 
3.5%
대 89
 
3.2%
사 75
 
2.7%
성 72
 
2.6%
속 67
 
2.4%
공 64
 
2.3%
동 48
 
1.7%
Other values (277) 1905
69.0%
ASCII
ValueCountFrequency (%)
) 94
28.0%
( 93
27.7%
50
14.9%
. 10
 
3.0%
T 8
 
2.4%
C 8
 
2.4%
& 6
 
1.8%
2 6
 
1.8%
1 6
 
1.8%
S 6
 
1.8%
Other values (22) 49
14.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지지번주소
Text

Distinct478
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T23:57:45.578114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length19.980198
Min length1

Characters and Unicode

Total characters10090
Distinct characters82
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique457 ?
Unique (%)90.5%

Sample

1st row대구광역시 북구 침산동 695
2nd row대구광역시 북구 노원동3가 205-1
3rd row대구광역시 북구 노원동3가 380-4 외1필지
4th row대구광역시 북구 노원동3가 207-4
5th row대구광역시 북구 노원동3가 20-1
ValueCountFrequency (%)
대구광역시 501
24.6%
북구 501
24.6%
노원동3가 283
13.9%
침산동 124
 
6.1%
산격동 36
 
1.8%
검단동 34
 
1.7%
외 5
 
0.2%
2층 4
 
0.2%
학정동 4
 
0.2%
칠성동2가 4
 
0.2%
Other values (489) 538
26.5%
2023-12-12T23:57:46.160634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2038
20.2%
구 1005
 
10.0%
동 509
 
5.0%
대 507
 
5.0%
북 504
 
5.0%
광 502
 
5.0%
시 502
 
5.0%
역 501
 
5.0%
3 461
 
4.6%
1 442
 
4.4%
Other values (72) 3119
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5397
53.5%
Decimal Number 2286
22.7%
Space Separator 2038
 
20.2%
Dash Punctuation 362
 
3.6%
Uppercase Letter 5
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1005
18.6%
동 509
9.4%
대 507
9.4%
북 504
9.3%
광 502
9.3%
시 502
9.3%
역 501
9.3%
가 290
 
5.4%
원 285
 
5.3%
노 285
 
5.3%
Other values (56) 507
9.4%
Decimal Number
ValueCountFrequency (%)
3 461
20.2%
1 442
19.3%
2 249
10.9%
7 185
8.1%
0 182
 
8.0%
4 173
 
7.6%
8 155
 
6.8%
6 154
 
6.7%
5 149
 
6.5%
9 136
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
2038
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5397
53.5%
Common 4688
46.5%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1005
18.6%
동 509
9.4%
대 507
9.4%
북 504
9.3%
광 502
9.3%
시 502
9.3%
역 501
9.3%
가 290
 
5.4%
원 285
 
5.3%
노 285
 
5.3%
Other values (56) 507
9.4%
Common
ValueCountFrequency (%)
2038
43.5%
3 461
 
9.8%
1 442
 
9.4%
- 362
 
7.7%
2 249
 
5.3%
7 185
 
3.9%
0 182
 
3.9%
4 173
 
3.7%
8 155
 
3.3%
6 154
 
3.3%
Other values (4) 287
 
6.1%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5397
53.5%
ASCII 4693
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2038
43.4%
3 461
 
9.8%
1 442
 
9.4%
- 362
 
7.7%
2 249
 
5.3%
7 185
 
3.9%
0 182
 
3.9%
4 173
 
3.7%
8 155
 
3.3%
6 154
 
3.3%
Other values (6) 292
 
6.2%
Hangul
ValueCountFrequency (%)
구 1005
18.6%
동 509
9.4%
대 507
9.4%
북 504
9.3%
광 502
9.3%
시 502
9.3%
역 501
9.3%
가 290
 
5.4%
원 285
 
5.3%
노 285
 
5.3%
Other values (56) 507
9.4%

소재지도로명주소
Text

Distinct467
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T23:57:46.487715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length25.009901
Min length1

Characters and Unicode

Total characters12630
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique448 ?
Unique (%)88.7%

Sample

1st row대구광역시 북구 노원로 273 (침산동)
2nd row대구광역시 북구 노원로9길 46 (노원동3가)
3rd row대구광역시 북구 팔달북로2길 9 (노원동3가 외1필지)
4th row대구광역시 북구 팔달북로8길 63 (노원동3가)
5th row대구광역시 북구 3공단로48길 6 (노원동3가)
ValueCountFrequency (%)
대구광역시 487
19.6%
북구 487
19.6%
노원동3가 272
 
11.0%
침산동 123
 
5.0%
노원로1길 40
 
1.6%
산격동 35
 
1.4%
검단동 33
 
1.3%
3공단로 30
 
1.2%
노원로 23
 
0.9%
침산로67길 22
 
0.9%
Other values (407) 928
37.4%
2023-12-12T23:57:46.985241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2063
 
16.3%
구 981
 
7.8%
북 551
 
4.4%
동 545
 
4.3%
3 536
 
4.2%
대 503
 
4.0%
) 489
 
3.9%
( 489
 
3.9%
로 488
 
3.9%
시 488
 
3.9%
Other values (114) 5497
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7273
57.6%
Decimal Number 2155
 
17.1%
Space Separator 2063
 
16.3%
Close Punctuation 489
 
3.9%
Open Punctuation 489
 
3.9%
Dash Punctuation 156
 
1.2%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 981
13.5%
북 551
 
7.6%
동 545
 
7.5%
대 503
 
6.9%
로 488
 
6.7%
시 488
 
6.7%
광 488
 
6.7%
역 487
 
6.7%
원 458
 
6.3%
노 456
 
6.3%
Other values (98) 1828
25.1%
Decimal Number
ValueCountFrequency (%)
3 536
24.9%
1 429
19.9%
2 263
12.2%
7 173
 
8.0%
4 161
 
7.5%
6 149
 
6.9%
5 123
 
5.7%
0 111
 
5.2%
8 108
 
5.0%
9 102
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%
Space Separator
ValueCountFrequency (%)
2063
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7273
57.6%
Common 5352
42.4%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 981
13.5%
북 551
 
7.6%
동 545
 
7.5%
대 503
 
6.9%
로 488
 
6.7%
시 488
 
6.7%
광 488
 
6.7%
역 487
 
6.7%
원 458
 
6.3%
노 456
 
6.3%
Other values (98) 1828
25.1%
Common
ValueCountFrequency (%)
2063
38.5%
3 536
 
10.0%
) 489
 
9.1%
( 489
 
9.1%
1 429
 
8.0%
2 263
 
4.9%
7 173
 
3.2%
4 161
 
3.0%
- 156
 
2.9%
6 149
 
2.8%
Other values (4) 444
 
8.3%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7273
57.6%
ASCII 5357
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2063
38.5%
3 536
 
10.0%
) 489
 
9.1%
( 489
 
9.1%
1 429
 
8.0%
2 263
 
4.9%
7 173
 
3.2%
4 161
 
3.0%
- 156
 
2.9%
6 149
 
2.8%
Other values (6) 449
 
8.4%
Hangul
ValueCountFrequency (%)
구 981
13.5%
북 551
 
7.6%
동 545
 
7.5%
대 503
 
6.9%
로 488
 
6.7%
시 488
 
6.7%
광 488
 
6.7%
역 487
 
6.7%
원 458
 
6.3%
노 456
 
6.3%
Other values (98) 1828
25.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct482
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.900164
Minimum35.87611
Maximum35.956146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T23:57:47.174031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.87611
5-th percentile35.891202
Q135.89496
median35.898926
Q335.902161
95-th percentile35.913707
Maximum35.956146
Range0.08003602
Interquartile range (IQR)0.00720101

Descriptive statistics

Standard deviation0.0093634591
Coefficient of variation (CV)0.00026081939
Kurtosis11.959928
Mean35.900164
Median Absolute Deviation (MAD)0.00366023
Skewness2.7369707
Sum18129.583
Variance8.7674366 × 10-5
MonotonicityNot monotonic
2023-12-12T23:57:47.381741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.89099174 3
 
0.6%
35.88906 3
 
0.6%
35.89398862 3
 
0.6%
35.89191391 3
 
0.6%
35.89719518 2
 
0.4%
35.90134358 2
 
0.4%
35.8994211 2
 
0.4%
35.9012478 2
 
0.4%
35.90231989 2
 
0.4%
35.90225065 2
 
0.4%
Other values (472) 481
95.2%
ValueCountFrequency (%)
35.87611 1
 
0.2%
35.87612 1
 
0.2%
35.88186977 1
 
0.2%
35.88211 1
 
0.2%
35.88324 1
 
0.2%
35.88447 1
 
0.2%
35.88522557 1
 
0.2%
35.88645103 1
 
0.2%
35.88906 3
0.6%
35.88909749 1
 
0.2%
ValueCountFrequency (%)
35.95614602 1
0.2%
35.95526718 1
0.2%
35.95375 1
0.2%
35.95082607 1
0.2%
35.94925 1
0.2%
35.94484991 1
0.2%
35.944315 1
0.2%
35.93701409 1
0.2%
35.93301239 1
0.2%
35.93239 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct480
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57769
Minimum128.53549
Maximum128.62603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T23:57:47.546528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.53549
5-th percentile128.55612
Q1128.56461
median128.5755
Q3128.5833
95-th percentile128.61631
Maximum128.62603
Range0.0905407
Interquartile range (IQR)0.0186947

Descriptive statistics

Standard deviation0.017312513
Coefficient of variation (CV)0.00013464632
Kurtosis0.43905117
Mean128.57769
Median Absolute Deviation (MAD)0.0092199
Skewness0.93928272
Sum64931.733
Variance0.00029972311
MonotonicityNot monotonic
2023-12-12T23:57:47.706268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.61023 3
 
0.6%
128.5601823 3
 
0.6%
128.5531247 3
 
0.6%
128.560291 3
 
0.6%
128.5569022 2
 
0.4%
128.5711627 2
 
0.4%
128.5880567 2
 
0.4%
128.5774681 2
 
0.4%
128.5782295 2
 
0.4%
128.5844754 2
 
0.4%
Other values (470) 481
95.2%
ValueCountFrequency (%)
128.53549 1
 
0.2%
128.5478733 1
 
0.2%
128.5490273 1
 
0.2%
128.5497 1
 
0.2%
128.5528411 1
 
0.2%
128.5530364 1
 
0.2%
128.5531247 3
0.6%
128.5532989 1
 
0.2%
128.5533544 1
 
0.2%
128.5535887 1
 
0.2%
ValueCountFrequency (%)
128.6260307 1
0.2%
128.6250935 1
0.2%
128.6245171 1
0.2%
128.6237936 1
0.2%
128.6226457 1
0.2%
128.6226109 1
0.2%
128.6220675 1
0.2%
128.6216897 1
0.2%
128.6214451 1
0.2%
128.6213699 1
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2022-09-07
505 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-07
2nd row2022-09-07
3rd row2022-09-07
4th row2022-09-07
5th row2022-09-07

Common Values

ValueCountFrequency (%)
2022-09-07 505
100.0%

Length

2023-12-12T23:57:47.873014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:47.999664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-07 505
100.0%

Interactions

2023-12-12T23:57:44.272875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:44.078982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:44.366365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:44.175382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:57:48.068819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.707
경도0.7071.000
2023-12-12T23:57:48.495676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.636
경도0.6361.000

Missing values

2023-12-12T23:57:44.468394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:57:44.573201image/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

사업장명소재지지번주소소재지도로명주소위도경도데이터기준일자
0제일농공사대구광역시 북구 침산동 695대구광역시 북구 노원로 273 (침산동)35.901141128.5895442022-09-07
1(주)대철대구광역시 북구 노원동3가 205-1대구광역시 북구 노원로9길 46 (노원동3가)35.896866128.5650442022-09-07
2럭키모터스대구광역시 북구 노원동3가 380-4 외1필지대구광역시 북구 팔달북로2길 9 (노원동3가 외1필지)35.89273128.564562022-09-07
3상우정공대구광역시 북구 노원동3가 207-4대구광역시 북구 팔달북로8길 63 (노원동3가)35.896548128.5660342022-09-07
4(주)비에스지대구광역시 북구 노원동3가 20-1대구광역시 북구 3공단로48길 6 (노원동3가)35.901888128.5763092022-09-07
5(주)경진T&C대구광역시 북구 침산동 873-1대구광역시 북구 침산로67길 46 (침산동)35.901972128.5835972022-09-07
6팔달자동차공업사대구광역시 북구 노원동3가 711대구광역시 북구 노원로1길 7 (노원동3가)35.891165128.5621542022-09-07
7JS산업대구광역시 북구 노원동3가 473-3대구광역시 북구 팔달로1길 68 (노원동3가)35.8957128.5591582022-09-07
8광일정비대구광역시 북구 침산동 1025-5대구광역시 북구 노원로40길 2 (침산동)35.899485128.581032022-09-07
9유양산업사대구광역시 북구 노원동3가 683-2대구광역시 북구 팔달로 97 (노원동3가)35.890184128.5608352022-09-07
사업장명소재지지번주소소재지도로명주소위도경도데이터기준일자
495대림금속대구광역시 북구 노원동3가 247-1대구광역시 북구 팔달로1길 82 (노원동3가)35.896262128.5611332022-09-07
496침산2차화성타운입주자대표회대구광역시 북구 침산남로37길 24 (침산동 침산2차화성타운)35.889378128.5953112022-09-07
497일백상사대구광역시 북구 검단동 510-1대구광역시 북구 검단공단로21길 28 검단공단로21길 26 (검단동)35.913275128.6110092022-09-07
498백두샌딩대구광역시 북구 노원동3가 59-10대구광역시 북구 3공단로33길 27 (노원동3가)35.901277128.5672772022-09-07
499주안패션대구광역시 북구 노원동3가 21-1대구광역시 북구 노원로1길 179 3층 (노원동3가)35.900979128.5761822022-09-07
500원산업대구광역시 북구 검단동 838-48 A동대구광역시 북구 검단로27길 36 A동 (검단동)35.911114128.6198612022-09-07
501정도전해연마대구광역시 북구 침산동 1048대구광역시 북구 노원로40길 7 (침산동)35.899553128.5816072022-09-07
502태화금속대구광역시 북구 침산동 1154-3대구광역시 북구 오봉로22길 17 (침산동)35.896794128.5805822022-09-07
503(주)씨엠에스 검단2지점대구광역시 북구 검단동 887-163대구광역시 북구 검단공단로 82-10 (검단동)35.912443128.6167012022-09-07
504아이앤유대구광역시 북구 침산동 999대구광역시 북구 오봉로 166 5층 (침산동)35.902924128.5794362022-09-07