Overview

Dataset statistics

Number of variables6
Number of observations188
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description대전광역시 서구 관내에서 운영중인 안경업소, 치과기공소에 대한 신고 현황 정보(업소명, 주소, 전화번호)를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15104085/fileData.do

Alerts

순번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 순번High correlation
지번주소 has 3 (1.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:33:05.138623
Analysis finished2023-12-12 05:33:05.854916
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.5
Minimum1
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T14:33:05.949344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.35
Q147.75
median94.5
Q3141.25
95-th percentile178.65
Maximum188
Range187
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation54.415071
Coefficient of variation (CV)0.57582086
Kurtosis-1.2
Mean94.5
Median Absolute Deviation (MAD)47
Skewness0
Sum17766
Variance2961
MonotonicityStrictly increasing
2023-12-12T14:33:06.089921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
131 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
Other values (178) 178
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%

의료업소명칭
Text

Distinct187
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:33:06.389131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.787234
Min length2

Characters and Unicode

Total characters1464
Distinct characters242
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

Unique186 ?
Unique (%)98.9%

Sample

1st rowTHE H(더에이치)
2nd row하이안경
3rd row안경9050
4th row안경매니져 이마트둔산점
5th row815안경콘택트by아이피아
ValueCountFrequency (%)
아쿠아이즈 3
 
1.5%
아이조아안경원 1
 
0.5%
강덴쳐스치과기공소 1
 
0.5%
안경매니아배재점 1
 
0.5%
미도안경원 1
 
0.5%
홍학 1
 
0.5%
나로치과기공소 1
 
0.5%
로얄안경콘택트 1
 
0.5%
동방안경원 1
 
0.5%
보광당안경원 1
 
0.5%
Other values (187) 187
94.0%
2023-12-12T14:33:06.844688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 109
 
7.4%
경 108
 
7.4%
공 69
 
4.7%
원 66
 
4.5%
치 64
 
4.4%
소 62
 
4.2%
기 62
 
4.2%
과 59
 
4.0%
점 47
 
3.2%
이 42
 
2.9%
Other values (232) 776
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1379
94.2%
Uppercase Letter 27
 
1.8%
Decimal Number 16
 
1.1%
Lowercase Letter 13
 
0.9%
Space Separator 11
 
0.8%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 109
 
7.9%
경 108
 
7.8%
공 69
 
5.0%
원 66
 
4.8%
치 64
 
4.6%
소 62
 
4.5%
기 62
 
4.5%
과 59
 
4.3%
점 47
 
3.4%
이 42
 
3.0%
Other values (201) 691
50.1%
Uppercase Letter
ValueCountFrequency (%)
D 4
14.8%
O 3
11.1%
T 2
 
7.4%
K 2
 
7.4%
P 2
 
7.4%
H 2
 
7.4%
L 2
 
7.4%
A 2
 
7.4%
Y 2
 
7.4%
C 1
 
3.7%
Other values (5) 5
18.5%
Lowercase Letter
ValueCountFrequency (%)
y 3
23.1%
b 3
23.1%
n 2
15.4%
t 1
 
7.7%
w 1
 
7.7%
o 1
 
7.7%
i 1
 
7.7%
e 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 6
37.5%
5 4
25.0%
8 3
18.8%
9 2
 
12.5%
1 1
 
6.2%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1379
94.2%
Common 45
 
3.1%
Latin 40
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 109
 
7.9%
경 108
 
7.8%
공 69
 
5.0%
원 66
 
4.8%
치 64
 
4.6%
소 62
 
4.5%
기 62
 
4.5%
과 59
 
4.3%
점 47
 
3.4%
이 42
 
3.0%
Other values (201) 691
50.1%
Latin
ValueCountFrequency (%)
D 4
 
10.0%
O 3
 
7.5%
y 3
 
7.5%
b 3
 
7.5%
T 2
 
5.0%
K 2
 
5.0%
P 2
 
5.0%
H 2
 
5.0%
L 2
 
5.0%
A 2
 
5.0%
Other values (13) 15
37.5%
Common
ValueCountFrequency (%)
11
24.4%
( 9
20.0%
) 9
20.0%
0 6
13.3%
5 4
 
8.9%
8 3
 
6.7%
9 2
 
4.4%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
94.2%
ASCII 85
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 109
 
7.9%
경 108
 
7.8%
공 69
 
5.0%
원 66
 
4.8%
치 64
 
4.6%
소 62
 
4.5%
기 62
 
4.5%
과 59
 
4.3%
점 47
 
3.4%
이 42
 
3.0%
Other values (201) 691
50.1%
ASCII
ValueCountFrequency (%)
11
 
12.9%
( 9
 
10.6%
) 9
 
10.6%
0 6
 
7.1%
D 4
 
4.7%
5 4
 
4.7%
8 3
 
3.5%
O 3
 
3.5%
y 3
 
3.5%
b 3
 
3.5%
Other values (21) 30
35.3%

종별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
안경업소
124 
치과기공소
64 

Length

Max length5
Median length4
Mean length4.3404255
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안경업소 124
66.0%
치과기공소 64
34.0%

Length

2023-12-12T14:33:07.048823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:33:07.162855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업소 124
66.0%
치과기공소 64
34.0%

지번주소
Text

MISSING 

Distinct183
Distinct (%)98.9%
Missing3
Missing (%)1.6%
Memory size1.6 KiB
2023-12-12T14:33:07.412133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length22.702703
Min length16

Characters and Unicode

Total characters4200
Distinct characters145
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

Unique181 ?
Unique (%)97.8%

Sample

1st row대전광역시 서구 도안동 1058
2nd row대전광역시 서구 도마동 175-14 크로바메디컬
3rd row대전광역시 서구 월평동 267
4th row대전광역시 서구 둔산동 959-2 대전둔산이마트
5th row대전광역시 서구 탄방동 645
ValueCountFrequency (%)
서구 185
20.6%
대전광역시 184
20.4%
둔산동 30
 
3.3%
1층 25
 
2.8%
탄방동 23
 
2.6%
도마동 16
 
1.8%
갈마동 15
 
1.7%
2층 11
 
1.2%
월평동 10
 
1.1%
도안동 9
 
1.0%
Other values (288) 392
43.6%
2023-12-12T14:33:07.819804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
720
17.1%
1 261
 
6.2%
대 190
 
4.5%
전 188
 
4.5%
동 188
 
4.5%
광 186
 
4.4%
역 186
 
4.4%
시 185
 
4.4%
서 185
 
4.4%
구 185
 
4.4%
Other values (135) 1726
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2430
57.9%
Decimal Number 928
 
22.1%
Space Separator 720
 
17.1%
Dash Punctuation 38
 
0.9%
Open Punctuation 34
 
0.8%
Close Punctuation 34
 
0.8%
Other Punctuation 14
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 190
 
7.8%
전 188
 
7.7%
동 188
 
7.7%
광 186
 
7.7%
역 186
 
7.7%
시 185
 
7.6%
서 185
 
7.6%
구 185
 
7.6%
지 110
 
4.5%
번 108
 
4.4%
Other values (117) 719
29.6%
Decimal Number
ValueCountFrequency (%)
1 261
28.1%
2 122
13.1%
3 89
 
9.6%
0 79
 
8.5%
4 75
 
8.1%
5 69
 
7.4%
7 69
 
7.4%
9 68
 
7.3%
8 48
 
5.2%
6 48
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
@ 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2430
57.9%
Common 1768
42.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 190
 
7.8%
전 188
 
7.7%
동 188
 
7.7%
광 186
 
7.7%
역 186
 
7.7%
시 185
 
7.6%
서 185
 
7.6%
구 185
 
7.6%
지 110
 
4.5%
번 108
 
4.4%
Other values (117) 719
29.6%
Common
ValueCountFrequency (%)
720
40.7%
1 261
 
14.8%
2 122
 
6.9%
3 89
 
5.0%
0 79
 
4.5%
4 75
 
4.2%
5 69
 
3.9%
7 69
 
3.9%
9 68
 
3.8%
8 48
 
2.7%
Other values (6) 168
 
9.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2430
57.9%
ASCII 1770
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
720
40.7%
1 261
 
14.7%
2 122
 
6.9%
3 89
 
5.0%
0 79
 
4.5%
4 75
 
4.2%
5 69
 
3.9%
7 69
 
3.9%
9 68
 
3.8%
8 48
 
2.7%
Other values (8) 170
 
9.6%
Hangul
ValueCountFrequency (%)
대 190
 
7.8%
전 188
 
7.7%
동 188
 
7.7%
광 186
 
7.7%
역 186
 
7.7%
시 185
 
7.6%
서 185
 
7.6%
구 185
 
7.6%
지 110
 
4.5%
번 108
 
4.4%
Other values (117) 719
29.6%

도로명주소
Text

Distinct186
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:33:08.230258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length29.420213
Min length21

Characters and Unicode

Total characters5531
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)97.9%

Sample

1st row대전광역시 서구 원도안로224번안길 49, 1층 (도안동)
2nd row대전광역시 서구 도산로 38, 크로바메디컬 1층 108호 (도마동)
3rd row대전광역시 서구 청사서로 36, 1층 101호 (월평동)
4th row대전광역시 서구 둔산북로 41, 대전둔산이마트 3층 (둔산동)
5th row대전광역시 서구 문정로48번길 52, 1층 (탄방동)
ValueCountFrequency (%)
대전광역시 188
 
16.1%
서구 188
 
16.1%
1층 64
 
5.5%
둔산동 41
 
3.5%
도마동 25
 
2.1%
갈마동 23
 
2.0%
탄방동 23
 
2.0%
2층 22
 
1.9%
월평동 16
 
1.4%
3층 14
 
1.2%
Other values (327) 563
48.2%
2023-12-12T14:33:08.764905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
979
 
17.7%
1 272
 
4.9%
대 222
 
4.0%
동 204
 
3.7%
서 196
 
3.5%
전 190
 
3.4%
) 189
 
3.4%
( 189
 
3.4%
광 188
 
3.4%
역 188
 
3.4%
Other values (164) 2714
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3063
55.4%
Space Separator 979
 
17.7%
Decimal Number 904
 
16.3%
Close Punctuation 189
 
3.4%
Open Punctuation 189
 
3.4%
Other Punctuation 187
 
3.4%
Dash Punctuation 15
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 222
 
7.2%
동 204
 
6.7%
서 196
 
6.4%
전 190
 
6.2%
광 188
 
6.1%
역 188
 
6.1%
시 188
 
6.1%
구 188
 
6.1%
로 183
 
6.0%
층 118
 
3.9%
Other values (145) 1198
39.1%
Decimal Number
ValueCountFrequency (%)
1 272
30.1%
2 115
12.7%
0 87
 
9.6%
3 85
 
9.4%
5 77
 
8.5%
4 69
 
7.6%
6 60
 
6.6%
7 51
 
5.6%
8 48
 
5.3%
9 40
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 185
98.9%
@ 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
979
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3063
55.4%
Common 2465
44.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 222
 
7.2%
동 204
 
6.7%
서 196
 
6.4%
전 190
 
6.2%
광 188
 
6.1%
역 188
 
6.1%
시 188
 
6.1%
구 188
 
6.1%
로 183
 
6.0%
층 118
 
3.9%
Other values (145) 1198
39.1%
Common
ValueCountFrequency (%)
979
39.7%
1 272
 
11.0%
) 189
 
7.7%
( 189
 
7.7%
, 185
 
7.5%
2 115
 
4.7%
0 87
 
3.5%
3 85
 
3.4%
5 77
 
3.1%
4 69
 
2.8%
Other values (7) 218
 
8.8%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3063
55.4%
ASCII 2468
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
979
39.7%
1 272
 
11.0%
) 189
 
7.7%
( 189
 
7.7%
, 185
 
7.5%
2 115
 
4.7%
0 87
 
3.5%
3 85
 
3.4%
5 77
 
3.1%
4 69
 
2.8%
Other values (9) 221
 
9.0%
Hangul
ValueCountFrequency (%)
대 222
 
7.2%
동 204
 
6.7%
서 196
 
6.4%
전 190
 
6.2%
광 188
 
6.1%
역 188
 
6.1%
시 188
 
6.1%
구 188
 
6.1%
로 183
 
6.0%
층 118
 
3.9%
Other values (145) 1198
39.1%

전화번호
Text

Distinct173
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:33:09.068698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.148936
Min length9

Characters and Unicode

Total characters2284
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)91.0%

Sample

1st row0507-1325-6278
2nd row042-300-5323
3rd row042-489-5454
4th row042-484-9111
5th row042-482-0815
ValueCountFrequency (%)
휴대전화번호로 15
 
6.9%
제외 15
 
6.9%
공개 15
 
6.9%
042-533-3404 2
 
0.9%
042-527-4876 1
 
0.5%
042-471-2245 1
 
0.5%
042-632-2239 1
 
0.5%
042-531-4455 1
 
0.5%
042-532-8865 1
 
0.5%
042-523-0377 1
 
0.5%
Other values (165) 165
75.7%
2023-12-12T14:33:09.609731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 352
15.4%
- 345
15.1%
4 337
14.8%
0 299
13.1%
5 174
7.6%
8 161
7.0%
3 109
 
4.8%
7 93
 
4.1%
1 89
 
3.9%
6 67
 
2.9%
Other values (13) 258
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1744
76.4%
Dash Punctuation 345
 
15.1%
Other Letter 165
 
7.2%
Space Separator 30
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 15
9.1%
대 15
9.1%
제 15
9.1%
개 15
9.1%
공 15
9.1%
로 15
9.1%
호 15
9.1%
번 15
9.1%
화 15
9.1%
전 15
9.1%
Decimal Number
ValueCountFrequency (%)
2 352
20.2%
4 337
19.3%
0 299
17.1%
5 174
10.0%
8 161
9.2%
3 109
 
6.2%
7 93
 
5.3%
1 89
 
5.1%
6 67
 
3.8%
9 63
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2119
92.8%
Hangul 165
 
7.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 352
16.6%
- 345
16.3%
4 337
15.9%
0 299
14.1%
5 174
8.2%
8 161
7.6%
3 109
 
5.1%
7 93
 
4.4%
1 89
 
4.2%
6 67
 
3.2%
Other values (2) 93
 
4.4%
Hangul
ValueCountFrequency (%)
휴 15
9.1%
대 15
9.1%
제 15
9.1%
개 15
9.1%
공 15
9.1%
로 15
9.1%
호 15
9.1%
번 15
9.1%
화 15
9.1%
전 15
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2119
92.8%
Hangul 165
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 352
16.6%
- 345
16.3%
4 337
15.9%
0 299
14.1%
5 174
8.2%
8 161
7.6%
3 109
 
5.1%
7 93
 
4.4%
1 89
 
4.2%
6 67
 
3.2%
Other values (2) 93
 
4.4%
Hangul
ValueCountFrequency (%)
휴 15
9.1%
대 15
9.1%
제 15
9.1%
개 15
9.1%
공 15
9.1%
로 15
9.1%
호 15
9.1%
번 15
9.1%
화 15
9.1%
전 15
9.1%

Interactions

2023-12-12T14:33:05.487335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:33:09.734837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종별
순번1.0000.996
종별0.9961.000
2023-12-12T14:33:09.856545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종별
순번1.0000.925
종별0.9251.000

Missing values

2023-12-12T14:33:05.608662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:33:05.797688image/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

순번의료업소명칭종별지번주소도로명주소전화번호
01THE H(더에이치)안경업소대전광역시 서구 도안동 1058대전광역시 서구 원도안로224번안길 49, 1층 (도안동)0507-1325-6278
12하이안경안경업소대전광역시 서구 도마동 175-14 크로바메디컬대전광역시 서구 도산로 38, 크로바메디컬 1층 108호 (도마동)042-300-5323
23안경9050안경업소대전광역시 서구 월평동 267대전광역시 서구 청사서로 36, 1층 101호 (월평동)042-489-5454
34안경매니져 이마트둔산점안경업소대전광역시 서구 둔산동 959-2 대전둔산이마트대전광역시 서구 둔산북로 41, 대전둔산이마트 3층 (둔산동)042-484-9111
45815안경콘택트by아이피아안경업소대전광역시 서구 탄방동 645대전광역시 서구 문정로48번길 52, 1층 (탄방동)042-482-0815
56밝은누리안경안경업소대전광역시 서구 둔산동 1274대전광역시 서구 둔산로 61, 1층 (둔산동)042-721-0080
67세컨페이스안경원안경업소대전광역시 서구 탄방동 750대전광역시 서구 문정로 82, 1층 102호 (탄방동)042-482-0902
78안경매니아도마배재대점안경업소대전광역시 서구 도마동 25-6대전광역시 서구 배재로 162, 1층 (도마동)042-533-3404
89파피루스갤러리아타임월드점안경업소대전광역시 서구 둔산동 1036대전광역시 서구 대덕대로 211, 갤러리아타임월드백화점 B1층 (둔산동)0507-1364-6166
910건양대아이피아안경원안경업소대전광역시 서구 관저동 1643 건양대학교병원대전광역시 서구 관저동로 158, 건양대학교병원 2층 (관저동)042-543-1101
순번의료업소명칭종별지번주소도로명주소전화번호
178179선사치과기공소치과기공소대전광역시 서구 월평동 293번지 4층대전광역시 서구 청사서로 16, 4층 (월평동)042-485-0838
179180신성치과기공소치과기공소대전광역시 서구 괴정동 91번지 22호대전광역시 서구 갈마로 255 (괴정동)042-523-8591
180181경수치과기공소치과기공소대전광역시 서구 괴정동 53번지 10호 302호대전광역시 서구 괴정로 107, 302호 (괴정동)042-527-2804
181182원광치과기공소치과기공소대전광역시 서구 변동 79번지 23호대전광역시 서구 변동중로45번길 3 (변동)042-523-7223
182183바른이치과기공소치과기공소대전광역시 서구 도안동 1197번지 1층대전광역시 서구 원도안로207번길 16-35, 1층 (도안동)042-253-0277
183184부희치과기공소치과기공소대전광역시 서구 도마동 99번지 28호대전광역시 서구 도산로 117 (도마동)042-532-8646
184185둔산치과기공소치과기공소대전광역시 서구 탄방동 689번지 한양산호@상가305호대전광역시 서구 계룡로571번길 65 (탄방동, 한양산호@ 상가 305호)042-486-4634
185186세종치과기공소치과기공소대전광역시 서구 도마동 83번지 11호 2층대전광역시 서구 도마로 116, 2층 (도마동)042-525-7422
186187평화치과기공소치과기공소대전광역시 서구 변동 12번지 42호대전광역시 서구 중반5길 8, 2층 (변동)042-583-2844
187188청도치과기공소치과기공소대전광역시 서구 내동 8번지 19호 3층대전광역시 서구 도산로 239, 3층 (내동)042-531-9980