Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells11411
Missing cells (%)28.5%
Duplicate rows27
Duplicate rows (%)0.3%
Total size in memory390.6 KiB
Average record size in memory40.0 B

Variable types

Text4

Dataset

Description한국도로공사 고속도로 하이패스 단말기 판매점 정보를 원문 형식으로 제공한다. (판매점명,주소,주소(상세),전화번호)
Author한국도로공사
URLhttps://www.data.go.kr/data/15064222/fileData.do

Alerts

Dataset has 27 (0.3%) duplicate rowsDuplicates
주소 has 1911 (19.1%) missing valuesMissing
상세주소 has 8592 (85.9%) missing valuesMissing
전화번호 has 908 (9.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:15:37.744572
Analysis finished2023-12-12 13:15:39.331195
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매점명
Text

Distinct9735
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:15:39.508281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length10.041
Min length1

Characters and Unicode

Total characters100410
Distinct characters726
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9517 ?
Unique (%)95.2%

Sample

1st rowSK네트웍스(법흥점)
2nd row타타대우상용차 부산직영정비
3rd row현대자동차 삼척남양대리점
4th row내비서비스 광명점
5th rowSK네트웍스(광주삼보점)
ValueCountFrequency (%)
647
 
5.2%
현대자동차㈜ 290
 
2.4%
현대자동차 278
 
2.3%
주식회사 95
 
0.8%
sd시스템(㈜하이마트 89
 
0.7%
㈜하이마트 67
 
0.5%
대리점 29
 
0.2%
롯데마트하이마트 29
 
0.2%
르노삼성자동차 24
 
0.2%
비츠(기아오토큐 24
 
0.2%
Other values (9896) 10754
87.2%
2023-12-12T22:15:39.983120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 5971
 
5.9%
( 5959
 
5.9%
점 3750
 
3.7%
자 3686
 
3.7%
동 3463
 
3.4%
스 3449
 
3.4%
3134
 
3.1%
대 2946
 
2.9%
차 2827
 
2.8%
현 1974
 
2.0%
Other values (716) 63251
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79544
79.2%
Close Punctuation 5988
 
6.0%
Open Punctuation 5976
 
6.0%
Uppercase Letter 3827
 
3.8%
Space Separator 3134
 
3.1%
Other Symbol 976
 
1.0%
Lowercase Letter 479
 
0.5%
Decimal Number 249
 
0.2%
Dash Punctuation 122
 
0.1%
Other Punctuation 78
 
0.1%
Other values (2) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3750
 
4.7%
자 3686
 
4.6%
동 3463
 
4.4%
스 3449
 
4.3%
대 2946
 
3.7%
차 2827
 
3.6%
현 1974
 
2.5%
이 1922
 
2.4%
비 1628
 
2.0%
아 1582
 
2.0%
Other values (638) 52317
65.8%
Uppercase Letter
ValueCountFrequency (%)
G 908
23.7%
S 755
19.7%
L 739
19.3%
K 407
10.6%
D 127
 
3.3%
C 110
 
2.9%
A 100
 
2.6%
E 100
 
2.6%
T 86
 
2.2%
M 76
 
2.0%
Other values (16) 419
10.9%
Lowercase Letter
ValueCountFrequency (%)
o 68
14.2%
e 58
12.1%
t 54
11.3%
s 53
11.1%
p 45
9.4%
z 32
 
6.7%
a 30
 
6.3%
r 17
 
3.5%
m 17
 
3.5%
n 14
 
2.9%
Other values (13) 91
19.0%
Decimal Number
ValueCountFrequency (%)
1 106
42.6%
2 65
26.1%
3 27
 
10.8%
0 14
 
5.6%
4 9
 
3.6%
9 8
 
3.2%
5 7
 
2.8%
7 6
 
2.4%
6 4
 
1.6%
8 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 39
50.0%
/ 20
25.6%
& 9
 
11.5%
; 6
 
7.7%
" 1
 
1.3%
# 1
 
1.3%
？ 1
 
1.3%
* 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
> 1
33.3%
< 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5971
99.7%
] 17
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 5959
99.7%
[ 17
 
0.3%
Space Separator
ValueCountFrequency (%)
3134
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80519
80.2%
Common 15584
 
15.5%
Latin 4306
 
4.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3750
 
4.7%
자 3686
 
4.6%
동 3463
 
4.3%
스 3449
 
4.3%
대 2946
 
3.7%
차 2827
 
3.5%
현 1974
 
2.5%
이 1922
 
2.4%
비 1628
 
2.0%
아 1582
 
2.0%
Other values (638) 53292
66.2%
Latin
ValueCountFrequency (%)
G 908
21.1%
S 755
17.5%
L 739
17.2%
K 407
9.5%
D 127
 
2.9%
C 110
 
2.6%
A 100
 
2.3%
E 100
 
2.3%
T 86
 
2.0%
M 76
 
1.8%
Other values (39) 898
20.9%
Common
ValueCountFrequency (%)
) 5971
38.3%
( 5959
38.2%
3134
20.1%
- 122
 
0.8%
1 106
 
0.7%
2 65
 
0.4%
. 39
 
0.3%
_ 34
 
0.2%
3 27
 
0.2%
/ 20
 
0.1%
Other values (18) 107
 
0.7%
Han
ValueCountFrequency (%)
知 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79543
79.2%
ASCII 19889
 
19.8%
None 977
 
1.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 5971
30.0%
( 5959
30.0%
3134
15.8%
G 908
 
4.6%
S 755
 
3.8%
L 739
 
3.7%
K 407
 
2.0%
D 127
 
0.6%
- 122
 
0.6%
C 110
 
0.6%
Other values (66) 1657
 
8.3%
Hangul
ValueCountFrequency (%)
점 3750
 
4.7%
자 3686
 
4.6%
동 3463
 
4.4%
스 3449
 
4.3%
대 2946
 
3.7%
차 2827
 
3.6%
현 1974
 
2.5%
이 1922
 
2.4%
비 1628
 
2.0%
아 1582
 
2.0%
Other values (637) 52316
65.8%
None
ValueCountFrequency (%)
㈜ 976
99.9%
？ 1
 
0.1%
CJK
ValueCountFrequency (%)
知 1
100.0%

주소
Text

MISSING 

Distinct7520
Distinct (%)93.0%
Missing1911
Missing (%)19.1%
Memory size156.2 KiB
2023-12-12T22:15:40.354677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length24.907405
Min length3

Characters and Unicode

Total characters201476
Distinct characters631
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7151 ?
Unique (%)88.4%

Sample

1st row경상북도 안동시 경동로 741 (법흥동)
2nd row경상남도 양산시 상북면 충렬로 471-0
3rd row강원도 삼척시 남양안길 6 (남양동)
4th row경기도 광명시 광화로 32 (광명동)
5th row서울특별시 종로구 종로 303 (창신동)
ValueCountFrequency (%)
경기도 2112
 
5.0%
서울특별시 1523
 
3.6%
경상남도 552
 
1.3%
부산광역시 528
 
1.3%
대구광역시 446
 
1.1%
인천광역시 445
 
1.1%
경상북도 392
 
0.9%
충청남도 299
 
0.7%
북구 280
 
0.7%
남구 276
 
0.7%
Other values (9131) 35042
83.6%
2023-12-12T22:15:40.928934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34964
 
17.4%
로 7867
 
3.9%
시 7837
 
3.9%
동 7559
 
3.8%
구 6248
 
3.1%
1 6142
 
3.0%
( 5876
 
2.9%
) 5876
 
2.9%
도 4849
 
2.4%
2 3774
 
1.9%
Other values (621) 110484
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121784
60.4%
Space Separator 34964
 
17.4%
Decimal Number 28899
 
14.3%
Open Punctuation 5876
 
2.9%
Close Punctuation 5876
 
2.9%
Dash Punctuation 2093
 
1.0%
Other Punctuation 1689
 
0.8%
Uppercase Letter 252
 
0.1%
Lowercase Letter 35
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 7867
 
6.5%
시 7837
 
6.4%
동 7559
 
6.2%
구 6248
 
5.1%
도 4849
 
4.0%
경 3489
 
2.9%
대 3202
 
2.6%
서 2928
 
2.4%
광 2856
 
2.3%
남 2613
 
2.1%
Other values (557) 72336
59.4%
Uppercase Letter
ValueCountFrequency (%)
B 48
19.0%
L 37
14.7%
G 33
13.1%
S 19
 
7.5%
A 18
 
7.1%
C 16
 
6.3%
D 14
 
5.6%
T 12
 
4.8%
K 12
 
4.8%
M 9
 
3.6%
Other values (14) 34
13.5%
Lowercase Letter
ValueCountFrequency (%)
s 4
11.4%
t 3
 
8.6%
g 3
 
8.6%
l 3
 
8.6%
o 3
 
8.6%
u 2
 
5.7%
c 2
 
5.7%
e 2
 
5.7%
a 2
 
5.7%
i 2
 
5.7%
Other values (8) 9
25.7%
Decimal Number
ValueCountFrequency (%)
1 6142
21.3%
2 3774
13.1%
0 3259
11.3%
3 3093
10.7%
4 2572
8.9%
5 2386
 
8.3%
6 2126
 
7.4%
7 2105
 
7.3%
8 1782
 
6.2%
9 1660
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 1662
98.4%
. 14
 
0.8%
· 10
 
0.6%
: 1
 
0.1%
@ 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
34964
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5876
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5876
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2093
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121783
60.4%
Common 79405
39.4%
Latin 287
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 7867
 
6.5%
시 7837
 
6.4%
동 7559
 
6.2%
구 6248
 
5.1%
도 4849
 
4.0%
경 3489
 
2.9%
대 3202
 
2.6%
서 2928
 
2.4%
광 2856
 
2.3%
남 2613
 
2.1%
Other values (556) 72335
59.4%
Latin
ValueCountFrequency (%)
B 48
16.7%
L 37
12.9%
G 33
11.5%
S 19
 
6.6%
A 18
 
6.3%
C 16
 
5.6%
D 14
 
4.9%
T 12
 
4.2%
K 12
 
4.2%
M 9
 
3.1%
Other values (32) 69
24.0%
Common
ValueCountFrequency (%)
34964
44.0%
1 6142
 
7.7%
( 5876
 
7.4%
) 5876
 
7.4%
2 3774
 
4.8%
0 3259
 
4.1%
3 3093
 
3.9%
4 2572
 
3.2%
5 2386
 
3.0%
6 2126
 
2.7%
Other values (12) 9337
 
11.8%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121782
60.4%
ASCII 79682
39.5%
None 10
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34964
43.9%
1 6142
 
7.7%
( 5876
 
7.4%
) 5876
 
7.4%
2 3774
 
4.7%
0 3259
 
4.1%
3 3093
 
3.9%
4 2572
 
3.2%
5 2386
 
3.0%
6 2126
 
2.7%
Other values (53) 9614
 
12.1%
Hangul
ValueCountFrequency (%)
로 7867
 
6.5%
시 7837
 
6.4%
동 7559
 
6.2%
구 6248
 
5.1%
도 4849
 
4.0%
경 3489
 
2.9%
대 3202
 
2.6%
서 2928
 
2.4%
광 2856
 
2.3%
남 2613
 
2.1%
Other values (555) 72334
59.4%
None
ValueCountFrequency (%)
· 10
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

상세주소
Text

MISSING 

Distinct1001
Distinct (%)71.1%
Missing8592
Missing (%)85.9%
Memory size156.2 KiB
2023-12-12T22:15:41.166374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length7.1463068
Min length1

Characters and Unicode

Total characters10062
Distinct characters447
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique938 ?
Unique (%)66.6%

Sample

1st row타타대우상용차 부산직영정비
2nd row(시흥동/1층)
3rd row1층
4th row여천 롯데마트하이마트
5th row(주)한진
ValueCountFrequency (%)
1층 183
 
9.6%
90
 
4.7%
601 43
 
2.2%
1 33
 
1.7%
0 25
 
1.3%
롯데마트하이마트 20
 
1.0%
601(당정동/신일아이티지식산업센터 19
 
1.0%
101호 18
 
0.9%
보훈지청 14
 
0.7%
2층 11
 
0.6%
Other values (1229) 1456
76.2%
2023-12-12T22:15:41.550142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 744
 
7.4%
동 660
 
6.6%
570
 
5.7%
( 405
 
4.0%
) 405
 
4.0%
0 335
 
3.3%
층 308
 
3.1%
2 202
 
2.0%
3 173
 
1.7%
- 170
 
1.7%
Other values (437) 6090
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6163
61.3%
Decimal Number 2036
 
20.2%
Space Separator 570
 
5.7%
Open Punctuation 405
 
4.0%
Close Punctuation 405
 
4.0%
Other Punctuation 205
 
2.0%
Dash Punctuation 170
 
1.7%
Uppercase Letter 72
 
0.7%
Lowercase Letter 26
 
0.3%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 660
 
10.7%
층 308
 
5.0%
호 162
 
2.6%
이 131
 
2.1%
대 106
 
1.7%
스 106
 
1.7%
트 103
 
1.7%
자 100
 
1.6%
지 96
 
1.6%
정 93
 
1.5%
Other values (383) 4298
69.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
18.1%
A 10
13.9%
S 8
11.1%
C 8
11.1%
M 4
 
5.6%
J 4
 
5.6%
I 3
 
4.2%
V 3
 
4.2%
R 3
 
4.2%
O 3
 
4.2%
Other values (9) 13
18.1%
Lowercase Letter
ValueCountFrequency (%)
a 7
26.9%
s 5
19.2%
o 2
 
7.7%
p 2
 
7.7%
c 2
 
7.7%
r 2
 
7.7%
j 1
 
3.8%
b 1
 
3.8%
m 1
 
3.8%
t 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 744
36.5%
0 335
16.5%
2 202
 
9.9%
3 173
 
8.5%
6 160
 
7.9%
4 108
 
5.3%
5 105
 
5.2%
7 74
 
3.6%
8 69
 
3.4%
9 66
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 162
79.0%
. 34
 
16.6%
@ 4
 
2.0%
& 2
 
1.0%
* 1
 
0.5%
: 1
 
0.5%
; 1
 
0.5%
Space Separator
ValueCountFrequency (%)
570
100.0%
Open Punctuation
ValueCountFrequency (%)
( 405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Symbol
ValueCountFrequency (%)
★ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6163
61.3%
Common 3801
37.8%
Latin 98
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 660
 
10.7%
층 308
 
5.0%
호 162
 
2.6%
이 131
 
2.1%
대 106
 
1.7%
스 106
 
1.7%
트 103
 
1.7%
자 100
 
1.6%
지 96
 
1.6%
정 93
 
1.5%
Other values (383) 4298
69.7%
Latin
ValueCountFrequency (%)
B 13
 
13.3%
A 10
 
10.2%
S 8
 
8.2%
C 8
 
8.2%
a 7
 
7.1%
s 5
 
5.1%
M 4
 
4.1%
J 4
 
4.1%
I 3
 
3.1%
V 3
 
3.1%
Other values (21) 33
33.7%
Common
ValueCountFrequency (%)
1 744
19.6%
570
15.0%
( 405
10.7%
) 405
10.7%
0 335
8.8%
2 202
 
5.3%
3 173
 
4.6%
- 170
 
4.5%
/ 162
 
4.3%
6 160
 
4.2%
Other values (13) 475
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6159
61.2%
ASCII 3895
38.7%
Misc Symbols 4
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 744
19.1%
570
14.6%
( 405
10.4%
) 405
10.4%
0 335
8.6%
2 202
 
5.2%
3 173
 
4.4%
- 170
 
4.4%
/ 162
 
4.2%
6 160
 
4.1%
Other values (43) 569
14.6%
Hangul
ValueCountFrequency (%)
동 660
 
10.7%
층 308
 
5.0%
호 162
 
2.6%
이 131
 
2.1%
대 106
 
1.7%
스 106
 
1.7%
트 103
 
1.7%
자 100
 
1.6%
지 96
 
1.6%
정 93
 
1.5%
Other values (380) 4294
69.7%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
50.0%
ㄴ 1
25.0%
ㄷ 1
25.0%

전화번호
Text

MISSING 

Distinct8407
Distinct (%)92.5%
Missing908
Missing (%)9.1%
Memory size156.2 KiB
2023-12-12T22:15:41.944731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.895403
Min length8

Characters and Unicode

Total characters108153
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

Unique7999 ?
Unique (%)88.0%

Sample

1st row054-857-8759
2nd row02-2166-3600
3rd row033-574-6632
4th row02-2616-5006
5th row062-225-4477
ValueCountFrequency (%)
031-424-4233 82
 
0.9%
032-657-6534 15
 
0.2%
02-2225-6239 14
 
0.2%
070-8292-6837 12
 
0.1%
123-4567-8901 12
 
0.1%
031-477-8515 12
 
0.1%
062-513-7885 12
 
0.1%
02-718-6357 11
 
0.1%
062-572-6221 10
 
0.1%
02-585-6167 9
 
0.1%
Other values (8397) 8903
97.9%
2023-12-12T22:15:42.498705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18181
16.8%
0 16346
15.1%
3 11164
10.3%
2 10975
10.1%
5 10514
9.7%
1 9608
8.9%
4 7685
7.1%
6 6750
 
6.2%
8 6463
 
6.0%
7 6120
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89972
83.2%
Dash Punctuation 18181
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16346
18.2%
3 11164
12.4%
2 10975
12.2%
5 10514
11.7%
1 9608
10.7%
4 7685
8.5%
6 6750
7.5%
8 6463
 
7.2%
7 6120
 
6.8%
9 4347
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 18181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108153
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18181
16.8%
0 16346
15.1%
3 11164
10.3%
2 10975
10.1%
5 10514
9.7%
1 9608
8.9%
4 7685
7.1%
6 6750
 
6.2%
8 6463
 
6.0%
7 6120
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108153
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18181
16.8%
0 16346
15.1%
3 11164
10.3%
2 10975
10.1%
5 10514
9.7%
1 9608
8.9%
4 7685
7.1%
6 6750
 
6.2%
8 6463
 
6.0%
7 6120
 
5.7%

Missing values

2023-12-12T22:15:39.081798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:15:39.164645image/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.
2023-12-12T22:15:39.262823image/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

판매점명주소상세주소전화번호
2386SK네트웍스(법흥점)경상북도 안동시 경동로 741 (법흥동)<NA>054-857-8759
1603타타대우상용차 부산직영정비경상남도 양산시 상북면 충렬로 471-0타타대우상용차 부산직영정비02-2166-3600
15284현대자동차 삼척남양대리점강원도 삼척시 남양안길 6 (남양동)<NA>033-574-6632
11662내비서비스 광명점경기도 광명시 광화로 32 (광명동)<NA>02-2616-5006
2083SK네트웍스(광주삼보점)<NA><NA>062-225-4477
2599LG유플러스(블루인텔레콤)서울특별시 종로구 종로 303 (창신동)<NA>02-766-4319
91후퍼옵틱(금천구)서울특별시 금천구 독산로 68-0(시흥동/1층)<NA>
1244신북(민자)경기도 포천시 반월산성로 204-102<NA>070-4220-6583
6661SD시스템(㈜하이마트 남원지점)전라북도 남원시 의총로 91 (왕정동)<NA>063-626-8255
2436SK네트웍스(SK죽전점)경기도 용인시 수지구 용구대로 2751 (죽전동)<NA>031-265-6866
판매점명주소상세주소전화번호
16105쌍용서비스프라자해운대코너부산광역시 해운대구 좌동로10번길 52-3 (중동)<NA>051-744-5617
10538칼(KAL)전자<NA><NA>063-276-2209
13392㈜하이프라자(죽전사거리점)경기도 용인시 수지구 포은대로 541 (죽전동)<NA>031-266-6868
14254현대자동차 남전주대리점전라북도 전주시 완산구 백제대로 110 (효자동1가)<NA>063-224-8888
8605현대자동차(장림점)부산광역시 사하구 다대로 371-00<NA>
344유레카경기도 안양시 동안구 시민대로 373-01층 일부(관양동)<NA>
3852LG유플러스(텔레스텍)대전광역시 대덕구 신탄진로796번길 4 (신탄진동)<NA><NA>
8741사진속아이들경기도 이천시 이섭대천로 1244 (창전동)<NA><NA>
8004아이트로닉스(인천무선)<NA><NA>032-569-0090
7477주식회사 마니샵<NA><NA>054-431-9601

Duplicate rows

Most frequently occurring

판매점명주소상세주소전화번호# duplicates
22튠업모터스경기도 수원시 영통구 권선로 798 (매탄동)<NA>031-233-88823
03M유성점대전광역시 유성구 월드컵대로 293-0.042-000-00002
1LG유플러스(우정대리점)<NA><NA>051-816-10192
2LG전자(서귀포서비스센터)제주특별자치도 서귀포시 일주동로 8667 (서귀동)<NA>064-733-02122
3LG전자(제주서비스센터)제주특별자치도 제주시 도령로 36 (노형동)<NA>064-746-99812
4㈜국제전자통신서울특별시 중구 남대문시장4길 28-12 (남창동)<NA>02-817-11932
5㈜하이마트 비산지점경기도 안양시 동안구 관악대로 275 (비산동)<NA>031-383-54002
6㈜하이마트 양주지점경기도 양주시 평화로 1529 (회정동)<NA>031-864-00222
7국제유통대전광역시 서구 탄방로 88-0국제유통042-536-52252
8동광주하이패스센터점경기도 군포시 엘에스로 13-0.031-424-42332