Overview

Dataset statistics

Number of variables8
Number of observations552
Missing cells17
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.7 KiB
Average record size in memory66.2 B

Variable types

Numeric2
Categorical1
Text4
DateTime1

Dataset

Description정보통신공사업법 제2조(정의)에 따른 정보통신공사를 수행하기 위하여 정보통신공사업을 등록한 경상북도 내 정보통신공사업체의 등록번호, 상호,주소, 전화번호, 등록일자 현황입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15063308/fileData.do

Alerts

구분 has constant value ""Constant
순번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 순번High correlation
팩스번호 has 12 (2.2%) missing valuesMissing
순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:53:17.784842
Analysis finished2023-12-12 09:53:19.087346
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct552
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.5
Minimum1
Maximum552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T18:53:19.192715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.55
Q1138.75
median276.5
Q3414.25
95-th percentile524.45
Maximum552
Range551
Interquartile range (IQR)275.5

Descriptive statistics

Standard deviation159.49295
Coefficient of variation (CV)0.57682802
Kurtosis-1.2
Mean276.5
Median Absolute Deviation (MAD)138
Skewness0
Sum152628
Variance25438
MonotonicityStrictly increasing
2023-12-12T18:53:19.335709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
372 1
 
0.2%
366 1
 
0.2%
367 1
 
0.2%
368 1
 
0.2%
369 1
 
0.2%
370 1
 
0.2%
371 1
 
0.2%
373 1
 
0.2%
381 1
 
0.2%
Other values (542) 542
98.2%
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 (%)
552 1
0.2%
551 1
0.2%
550 1
0.2%
549 1
0.2%
548 1
0.2%
547 1
0.2%
546 1
0.2%
545 1
0.2%
544 1
0.2%
543 1
0.2%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
경북
552 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경북 552
100.0%

Length

2023-12-12T18:53:19.497544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:53:19.596986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경북 552
100.0%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct552
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407020.69
Minimum110043
Maximum620024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T18:53:19.744246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110043
5-th percentile150043.1
Q1150591.5
median540071.5
Q3540280.5
95-th percentile540400.45
Maximum620024
Range509981
Interquartile range (IQR)389689

Descriptive statistics

Standard deviation180982.61
Coefficient of variation (CV)0.4446521
Kurtosis-1.4659204
Mean407020.69
Median Absolute Deviation (MAD)322
Skewness-0.68779301
Sum2.2467542 × 108
Variance3.2754703 × 1010
MonotonicityNot monotonic
2023-12-12T18:53:20.247349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
540423 1
 
0.2%
530035 1
 
0.2%
540021 1
 
0.2%
620024 1
 
0.2%
540020 1
 
0.2%
540017 1
 
0.2%
540016 1
 
0.2%
410024 1
 
0.2%
430051 1
 
0.2%
530014 1
 
0.2%
Other values (542) 542
98.2%
ValueCountFrequency (%)
110043 1
0.2%
110092 1
0.2%
110522 1
0.2%
110645 1
0.2%
110991 1
0.2%
111151 1
0.2%
111806 1
0.2%
113139 1
0.2%
113160 1
0.2%
113401 1
0.2%
ValueCountFrequency (%)
620024 1
0.2%
610087 1
0.2%
610034 1
0.2%
550167 1
0.2%
550114 1
0.2%
540423 1
0.2%
540422 1
0.2%
540421 1
0.2%
540420 1
0.2%
540419 1
0.2%

상호
Text

Distinct546
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T18:53:20.566771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length8.3804348
Min length3

Characters and Unicode

Total characters4626
Distinct characters284
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique541 ?
Unique (%)98.0%

Sample

1st row주식회사 신화전설
2nd row주식회사 한울
3rd row주식회사 신우일렉콤
4th row주식회사 삼영
5th row주식회사 나인
ValueCountFrequency (%)
주식회사 137
 
19.3%
ltd 5
 
0.7%
co 5
 
0.7%
대신네트웍스(주 3
 
0.4%
줌네트웍스 2
 
0.3%
주)경도 2
 
0.3%
주)삼보정보통신 2
 
0.3%
co.,ltd 2
 
0.3%
주)광명전기 2
 
0.3%
주)지음이엔지 1
 
0.1%
Other values (548) 548
77.3%
2023-12-12T18:53:21.074934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 473
 
10.2%
( 344
 
7.4%
) 344
 
7.4%
신 174
 
3.8%
사 163
 
3.5%
157
 
3.4%
이 152
 
3.3%
통 150
 
3.2%
회 141
 
3.0%
보 141
 
3.0%
Other values (274) 2387
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3627
78.4%
Open Punctuation 344
 
7.4%
Close Punctuation 344
 
7.4%
Space Separator 157
 
3.4%
Uppercase Letter 68
 
1.5%
Lowercase Letter 65
 
1.4%
Other Punctuation 20
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 473
 
13.0%
신 174
 
4.8%
사 163
 
4.5%
이 152
 
4.2%
통 150
 
4.1%
회 141
 
3.9%
보 141
 
3.9%
식 140
 
3.9%
정 134
 
3.7%
전 92
 
2.5%
Other values (230) 1867
51.5%
Uppercase Letter
ValueCountFrequency (%)
C 13
19.1%
L 9
13.2%
I 8
11.8%
N 6
8.8%
S 5
 
7.4%
T 4
 
5.9%
H 3
 
4.4%
O 3
 
4.4%
E 3
 
4.4%
J 3
 
4.4%
Other values (9) 11
16.2%
Lowercase Letter
ValueCountFrequency (%)
o 11
16.9%
t 10
15.4%
d 9
13.8%
u 4
 
6.2%
i 4
 
6.2%
e 4
 
6.2%
c 4
 
6.2%
r 3
 
4.6%
l 3
 
4.6%
h 3
 
4.6%
Other values (8) 10
15.4%
Other Punctuation
ValueCountFrequency (%)
. 14
70.0%
, 5
 
25.0%
& 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 344
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3627
78.4%
Common 866
 
18.7%
Latin 133
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 473
 
13.0%
신 174
 
4.8%
사 163
 
4.5%
이 152
 
4.2%
통 150
 
4.1%
회 141
 
3.9%
보 141
 
3.9%
식 140
 
3.9%
정 134
 
3.7%
전 92
 
2.5%
Other values (230) 1867
51.5%
Latin
ValueCountFrequency (%)
C 13
 
9.8%
o 11
 
8.3%
t 10
 
7.5%
L 9
 
6.8%
d 9
 
6.8%
I 8
 
6.0%
N 6
 
4.5%
S 5
 
3.8%
u 4
 
3.0%
T 4
 
3.0%
Other values (27) 54
40.6%
Common
ValueCountFrequency (%)
( 344
39.7%
) 344
39.7%
157
18.1%
. 14
 
1.6%
, 5
 
0.6%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3627
78.4%
ASCII 999
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 473
 
13.0%
신 174
 
4.8%
사 163
 
4.5%
이 152
 
4.2%
통 150
 
4.1%
회 141
 
3.9%
보 141
 
3.9%
식 140
 
3.9%
정 134
 
3.7%
전 92
 
2.5%
Other values (230) 1867
51.5%
ASCII
ValueCountFrequency (%)
( 344
34.4%
) 344
34.4%
157
15.7%
. 14
 
1.4%
C 13
 
1.3%
o 11
 
1.1%
t 10
 
1.0%
L 9
 
0.9%
d 9
 
0.9%
I 8
 
0.8%
Other values (34) 80
 
8.0%

주소
Text

Distinct540
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T18:53:21.509775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length24.786232
Min length16

Characters and Unicode

Total characters13682
Distinct characters323
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique530 ?
Unique (%)96.0%

Sample

1st row경상북도 울진군 울진읍 말루길 135
2nd row경상북도 경주시 승삼신리길 80, 1층(용강동)
3rd row경상북도 구미시 고아읍 들성로9길 32-91
4th row경상북도 상주시 영남제일로 1343-7(외답동)
5th row경상북도 칠곡군 기산면 지산로 634
ValueCountFrequency (%)
경북 391
 
12.6%
경상북도 161
 
5.2%
99
 
3.2%
포항시 91
 
2.9%
구미시 66
 
2.1%
경산시 65
 
2.1%
남구 54
 
1.7%
안동시 44
 
1.4%
경주시 42
 
1.4%
북구 37
 
1.2%
Other values (1193) 2046
66.1%
2023-12-12T18:53:22.045192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2544
 
18.6%
경 708
 
5.2%
북 621
 
4.5%
1 558
 
4.1%
동 445
 
3.3%
시 425
 
3.1%
2 368
 
2.7%
로 357
 
2.6%
) 328
 
2.4%
( 327
 
2.4%
Other values (313) 7001
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7770
56.8%
Space Separator 2544
 
18.6%
Decimal Number 2250
 
16.4%
Close Punctuation 328
 
2.4%
Open Punctuation 327
 
2.4%
Other Punctuation 274
 
2.0%
Dash Punctuation 181
 
1.3%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 708
 
9.1%
북 621
 
8.0%
동 445
 
5.7%
시 425
 
5.5%
로 357
 
4.6%
길 309
 
4.0%
상 224
 
2.9%
도 219
 
2.8%
구 186
 
2.4%
군 167
 
2.1%
Other values (291) 4109
52.9%
Decimal Number
ValueCountFrequency (%)
1 558
24.8%
2 368
16.4%
3 264
11.7%
4 186
 
8.3%
5 179
 
8.0%
0 175
 
7.8%
6 144
 
6.4%
8 135
 
6.0%
7 127
 
5.6%
9 114
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
K 2
25.0%
B 2
25.0%
Y 1
12.5%
N 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 272
99.3%
. 1
 
0.4%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7770
56.8%
Common 5904
43.2%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 708
 
9.1%
북 621
 
8.0%
동 445
 
5.7%
시 425
 
5.5%
로 357
 
4.6%
길 309
 
4.0%
상 224
 
2.9%
도 219
 
2.8%
구 186
 
2.4%
군 167
 
2.1%
Other values (291) 4109
52.9%
Common
ValueCountFrequency (%)
2544
43.1%
1 558
 
9.5%
2 368
 
6.2%
) 328
 
5.6%
( 327
 
5.5%
, 272
 
4.6%
3 264
 
4.5%
4 186
 
3.2%
- 181
 
3.1%
5 179
 
3.0%
Other values (7) 697
 
11.8%
Latin
ValueCountFrequency (%)
C 2
25.0%
K 2
25.0%
B 2
25.0%
Y 1
12.5%
N 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7770
56.8%
ASCII 5912
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2544
43.0%
1 558
 
9.4%
2 368
 
6.2%
) 328
 
5.5%
( 327
 
5.5%
, 272
 
4.6%
3 264
 
4.5%
4 186
 
3.1%
- 181
 
3.1%
5 179
 
3.0%
Other values (12) 705
 
11.9%
Hangul
ValueCountFrequency (%)
경 708
 
9.1%
북 621
 
8.0%
동 445
 
5.7%
시 425
 
5.5%
로 357
 
4.6%
길 309
 
4.0%
상 224
 
2.9%
도 219
 
2.8%
구 186
 
2.4%
군 167
 
2.1%
Other values (291) 4109
52.9%

전화번호
Text

Distinct538
Distinct (%)98.4%
Missing5
Missing (%)0.9%
Memory size4.4 KiB
2023-12-12T18:53:22.282494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.062157
Min length11

Characters and Unicode

Total characters6598
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

Unique530 ?
Unique (%)96.9%

Sample

1st row054-781-3985
2nd row054-775-0201
3rd row054-444-3800
4th row054-536-5583
5th row054-977-9741
ValueCountFrequency (%)
054-635-2232 3
 
0.5%
054-433-8607 2
 
0.4%
054-635-2777 2
 
0.4%
054-855-3232 2
 
0.4%
053-953-3434 2
 
0.4%
053-573-1100 2
 
0.4%
054-555-9719 2
 
0.4%
053-326-0404 2
 
0.4%
054-555-2421 1
 
0.2%
054-781-3985 1
 
0.2%
Other values (528) 528
96.5%
2023-12-12T18:53:22.630241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1094
16.6%
0 1000
15.2%
5 920
13.9%
4 846
12.8%
3 538
8.2%
7 435
 
6.6%
8 408
 
6.2%
2 397
 
6.0%
1 379
 
5.7%
6 327
 
5.0%
Other values (2) 254
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5501
83.4%
Dash Punctuation 1094
 
16.6%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1000
18.2%
5 920
16.7%
4 846
15.4%
3 538
9.8%
7 435
7.9%
8 408
7.4%
2 397
 
7.2%
1 379
 
6.9%
6 327
 
5.9%
9 251
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1094
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1094
16.6%
0 1000
15.2%
5 920
13.9%
4 846
12.8%
3 538
8.2%
7 435
 
6.6%
8 408
 
6.2%
2 397
 
6.0%
1 379
 
5.7%
6 327
 
5.0%
Other values (2) 254
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1094
16.6%
0 1000
15.2%
5 920
13.9%
4 846
12.8%
3 538
8.2%
7 435
 
6.6%
8 408
 
6.2%
2 397
 
6.0%
1 379
 
5.7%
6 327
 
5.0%
Other values (2) 254
 
3.8%

팩스번호
Text

MISSING 

Distinct512
Distinct (%)94.8%
Missing12
Missing (%)2.2%
Memory size4.4 KiB
2023-12-12T18:53:22.873240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.083333
Min length11

Characters and Unicode

Total characters6525
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique488 ?
Unique (%)90.4%

Sample

1st row054-781-3986
2nd row054-776-4624
3rd row054-451-3344
4th row054-536-5584
5th row0303-3130-2642
ValueCountFrequency (%)
054-553-3996 4
 
0.7%
054-635-3114 3
 
0.6%
054-552-0757 3
 
0.6%
054-776-4624 2
 
0.4%
054-653-0211 2
 
0.4%
053-573-1103 2
 
0.4%
053-424-3927 2
 
0.4%
054-633-0490 2
 
0.4%
054-456-1987 2
 
0.4%
054-854-6580 2
 
0.4%
Other values (502) 516
95.6%
2023-12-12T18:53:23.338124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1080
16.6%
0 946
14.5%
5 926
14.2%
4 807
12.4%
3 579
8.9%
7 424
 
6.5%
2 387
 
5.9%
8 385
 
5.9%
1 365
 
5.6%
6 348
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5445
83.4%
Dash Punctuation 1080
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 946
17.4%
5 926
17.0%
4 807
14.8%
3 579
10.6%
7 424
7.8%
2 387
7.1%
8 385
7.1%
1 365
 
6.7%
6 348
 
6.4%
9 278
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1080
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6525
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1080
16.6%
0 946
14.5%
5 926
14.2%
4 807
12.4%
3 579
8.9%
7 424
 
6.5%
2 387
 
5.9%
8 385
 
5.9%
1 365
 
5.6%
6 348
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1080
16.6%
0 946
14.5%
5 926
14.2%
4 807
12.4%
3 579
8.9%
7 424
 
6.5%
2 387
 
5.9%
8 385
 
5.9%
1 365
 
5.6%
6 348
 
5.3%

등록일자
Date

Distinct481
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1979-10-24 00:00:00
Maximum2021-12-09 00:00:00
2023-12-12T18:53:23.561081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:53:23.799875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T18:53:18.493556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:53:18.297365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:53:18.598584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:53:18.399013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:53:23.913666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.0000.638
등록번호0.6381.000
2023-12-12T18:53:24.035522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호
순번1.000-0.903
등록번호-0.9031.000

Missing values

2023-12-12T18:53:18.766360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:53:18.891083image/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.
2023-12-12T18:53:19.025135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번구분등록번호상호주소전화번호팩스번호등록일자
01경북540423주식회사 신화전설경상북도 울진군 울진읍 말루길 135054-781-3985054-781-39862021-12-09
12경북540422주식회사 한울경상북도 경주시 승삼신리길 80, 1층(용강동)054-775-0201054-776-46242021-12-06
23경북540420주식회사 신우일렉콤경상북도 구미시 고아읍 들성로9길 32-91054-444-3800054-451-33442021-11-26
34경북540421주식회사 삼영경상북도 상주시 영남제일로 1343-7(외답동)054-536-5583054-536-55842021-11-26
45경북540419주식회사 나인경상북도 칠곡군 기산면 지산로 634054-977-97410303-3130-26422021-11-08
56경북540417에스엠테크 주식회사경상북도 예천군 보문면 산단길 14-5054-655-8055054-655-80562021-10-17
67경북540418뉴정보통신경북 구미시 봉곡로 49 (봉곡동, 2호)054-444-8100054-444-81552021-10-17
78경북540416주식회사 아이네트경상북도 경산시 대학로10길 11, 101호(정평동)053-815-2688053-814-26882021-10-08
89경북540415주식회사 아이헬로경상북도 영주시 대학로 258, 1층(가흥동)054-635-2232054-635-31142021-10-05
910경북540414주식회사 엔스텝경상북도 구미시 산동읍 인덕1길 131, 경운대학교창업보육센터 405호054-476-6787054-476-67882021-09-09
순번구분등록번호상호주소전화번호팩스번호등록일자
542543경북150108(주)안동통신경북 안동시 태사길 86-3 , (동문동)054-857-6969054-857-63001991-02-18
543544경북150400해동전자(주)경북 포항시 북구 해동로 311 , (동빈1가)054-248-0696054-248-06971990-01-08
544545경북110522(주)포스코ICT경상북도 포항시 남구 호동로 68(호동)031-723-4304031-723-21031990-01-08
545546경북150040(주)대륙경북 안동시 목성교길 9 , (목성동)054-852-6005054-854-19331985-12-03
546547경북160024주식회사 길호경상북도 안동시 단원로 59 (운안동)054-854-0034054-854-65801983-03-18
547548경북150055신성통신(주)경북 영천시 포은로 55(언하동)053-422-0003053-424-39271981-01-27
548549경북150079동일통신(주)경북 경산시 임당로 72 , (임당동)053-818-4400053-817-54001980-05-01
549550경북150095홍성기업사경상북도 청도군 각남면 구곡1길 15053-763-5566053-768-64941979-11-10
550551경북150087(주)신화통신경북 경주시 용강상리1길 33 (용강동)054-774-0011054-745-27001979-10-24
551552경북150289(주)대광정보통신경북 안동시 태화중앙로 58, 3층(태화동)054-856-0980054-856-09861979-10-24