Overview

Dataset statistics

Number of variables13
Number of observations6124
Missing cells723
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory652.0 KiB
Average record size in memory109.0 B

Variable types

Numeric5
Categorical3
Text4
DateTime1

Dataset

Description대전광역시 서구에 위치한 일반음식점에 대한 정보로 업종명, 업소명, 전화번호, 위도, 경도 등의 데이터를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15008957/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
법정동명 is highly overall correlated with 행정동코드 and 1 other fieldsHigh correlation
행정동명 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
행정동코드 is highly overall correlated with 법정동코드 and 2 other fieldsHigh correlation
법정동코드 is highly overall correlated with 행정동코드 and 1 other fieldsHigh correlation
전화번호 has 717 (11.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:08:47.796383
Analysis finished2024-03-14 11:08:56.950232
Duration9.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct6124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3062.5
Minimum1
Maximum6124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.9 KiB
2024-03-14T20:08:57.079085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile307.15
Q11531.75
median3062.5
Q34593.25
95-th percentile5817.85
Maximum6124
Range6123
Interquartile range (IQR)3061.5

Descriptive statistics

Standard deviation1767.9909
Coefficient of variation (CV)0.57730314
Kurtosis-1.2
Mean3062.5
Median Absolute Deviation (MAD)1531
Skewness0
Sum18754750
Variance3125791.7
MonotonicityStrictly increasing
2024-03-14T20:08:57.342205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4081 1
 
< 0.1%
4090 1
 
< 0.1%
4089 1
 
< 0.1%
4088 1
 
< 0.1%
4087 1
 
< 0.1%
4086 1
 
< 0.1%
4085 1
 
< 0.1%
4084 1
 
< 0.1%
4083 1
 
< 0.1%
Other values (6114) 6114
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6124 1
< 0.1%
6123 1
< 0.1%
6122 1
< 0.1%
6121 1
< 0.1%
6120 1
< 0.1%
6119 1
< 0.1%
6118 1
< 0.1%
6117 1
< 0.1%
6116 1
< 0.1%
6115 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.0 KiB
일반음식점
6124 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 6124
100.0%

Length

2024-03-14T20:08:57.581264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:08:57.804355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 6124
100.0%

업소명
Text

Distinct5809
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size48.0 KiB
2024-03-14T20:08:58.827641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length6.4230895
Min length1

Characters and Unicode

Total characters39335
Distinct characters1003
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5588 ?
Unique (%)91.2%

Sample

1st row광천식당
2nd row우래옥
3rd row서해해물손칼국수
4th row원앙식당
5th row토속돌구이
ValueCountFrequency (%)
관저점 81
 
1.1%
둔산점 79
 
1.1%
대전둔산점 37
 
0.5%
갈마점 36
 
0.5%
대전관저점 29
 
0.4%
도안점 26
 
0.4%
가수원점 25
 
0.3%
탄방점 24
 
0.3%
괴정점 22
 
0.3%
대전점 21
 
0.3%
Other values (5896) 6963
94.8%
2024-03-14T20:09:00.579457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1281
 
3.3%
1219
 
3.1%
이 814
 
2.1%
대 725
 
1.8%
식 567
 
1.4%
리 549
 
1.4%
마 526
 
1.3%
스 486
 
1.2%
전 479
 
1.2%
당 466
 
1.2%
Other values (993) 32223
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34859
88.6%
Space Separator 1219
 
3.1%
Lowercase Letter 833
 
2.1%
Uppercase Letter 806
 
2.0%
Decimal Number 625
 
1.6%
Close Punctuation 417
 
1.1%
Open Punctuation 417
 
1.1%
Other Punctuation 142
 
0.4%
Dash Punctuation 6
 
< 0.1%
Modifier Symbol 6
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1281
 
3.7%
이 814
 
2.3%
대 725
 
2.1%
식 567
 
1.6%
리 549
 
1.6%
마 526
 
1.5%
스 486
 
1.4%
전 479
 
1.4%
당 466
 
1.3%
치 459
 
1.3%
Other values (913) 28507
81.8%
Uppercase Letter
ValueCountFrequency (%)
B 68
 
8.4%
O 62
 
7.7%
C 62
 
7.7%
E 60
 
7.4%
A 59
 
7.3%
S 50
 
6.2%
T 41
 
5.1%
H 40
 
5.0%
R 38
 
4.7%
I 38
 
4.7%
Other values (16) 288
35.7%
Lowercase Letter
ValueCountFrequency (%)
e 118
14.2%
o 89
10.7%
a 79
 
9.5%
n 53
 
6.4%
i 52
 
6.2%
r 52
 
6.2%
s 48
 
5.8%
t 45
 
5.4%
f 41
 
4.9%
c 38
 
4.6%
Other values (15) 218
26.2%
Decimal Number
ValueCountFrequency (%)
1 126
20.2%
0 115
18.4%
2 75
12.0%
5 58
9.3%
9 58
9.3%
8 57
9.1%
3 42
 
6.7%
7 36
 
5.8%
4 30
 
4.8%
6 28
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 72
50.7%
. 32
22.5%
, 19
 
13.4%
' 8
 
5.6%
· 3
 
2.1%
# 3
 
2.1%
! 3
 
2.1%
: 1
 
0.7%
? 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 416
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 416
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34846
88.6%
Common 2837
 
7.2%
Latin 1639
 
4.2%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1281
 
3.7%
이 814
 
2.3%
대 725
 
2.1%
식 567
 
1.6%
리 549
 
1.6%
마 526
 
1.5%
스 486
 
1.4%
전 479
 
1.4%
당 466
 
1.3%
치 459
 
1.3%
Other values (905) 28494
81.8%
Latin
ValueCountFrequency (%)
e 118
 
7.2%
o 89
 
5.4%
a 79
 
4.8%
B 68
 
4.1%
O 62
 
3.8%
C 62
 
3.8%
E 60
 
3.7%
A 59
 
3.6%
n 53
 
3.2%
i 52
 
3.2%
Other values (41) 937
57.2%
Common
ValueCountFrequency (%)
1219
43.0%
) 416
 
14.7%
( 416
 
14.7%
1 126
 
4.4%
0 115
 
4.1%
2 75
 
2.6%
& 72
 
2.5%
5 58
 
2.0%
9 58
 
2.0%
8 57
 
2.0%
Other values (19) 225
 
7.9%
Han
ValueCountFrequency (%)
愛 3
23.1%
家 3
23.1%
酒 2
15.4%
美 1
 
7.7%
趙 1
 
7.7%
堂 1
 
7.7%
本 1
 
7.7%
味 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34843
88.6%
ASCII 4472
 
11.4%
CJK 13
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1281
 
3.7%
이 814
 
2.3%
대 725
 
2.1%
식 567
 
1.6%
리 549
 
1.6%
마 526
 
1.5%
스 486
 
1.4%
전 479
 
1.4%
당 466
 
1.3%
치 459
 
1.3%
Other values (902) 28491
81.8%
ASCII
ValueCountFrequency (%)
1219
27.3%
) 416
 
9.3%
( 416
 
9.3%
1 126
 
2.8%
e 118
 
2.6%
0 115
 
2.6%
o 89
 
2.0%
a 79
 
1.8%
2 75
 
1.7%
& 72
 
1.6%
Other values (68) 1747
39.1%
CJK
ValueCountFrequency (%)
愛 3
23.1%
家 3
23.1%
酒 2
15.4%
美 1
 
7.7%
趙 1
 
7.7%
堂 1
 
7.7%
本 1
 
7.7%
味 1
 
7.7%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
33.3%
ㅁ 1
33.3%
ㆍ 1
33.3%

지번주소
Text

Distinct4847
Distinct (%)79.2%
Missing5
Missing (%)0.1%
Memory size48.0 KiB
2024-03-14T20:09:01.712574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length20.401046
Min length14

Characters and Unicode

Total characters124834
Distinct characters353
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4089 ?
Unique (%)66.8%

Sample

1st row대전광역시 서구 용문동 256-25 1층
2nd row대전광역시 서구 가수원동 175-4
3rd row대전광역시 서구 도마동 174-3
4th row대전광역시 서구 용문동 277-4 1층
5th row대전광역시 서구 용문동 244-58
ValueCountFrequency (%)
대전광역시 6119
22.3%
서구 6119
22.3%
1층 1171
 
4.3%
둔산동 1092
 
4.0%
갈마동 698
 
2.5%
관저동 663
 
2.4%
월평동 563
 
2.0%
탄방동 556
 
2.0%
도안동 485
 
1.8%
괴정동 476
 
1.7%
Other values (3678) 9527
34.7%
2024-03-14T20:09:03.356130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27358
21.9%
1 6953
 
5.6%
동 6167
 
4.9%
대 6162
 
4.9%
시 6147
 
4.9%
전 6139
 
4.9%
광 6134
 
4.9%
서 6127
 
4.9%
구 6123
 
4.9%
역 6120
 
4.9%
Other values (343) 41404
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67938
54.4%
Space Separator 27358
21.9%
Decimal Number 26115
 
20.9%
Dash Punctuation 2266
 
1.8%
Open Punctuation 447
 
0.4%
Close Punctuation 446
 
0.4%
Uppercase Letter 161
 
0.1%
Other Punctuation 76
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6167
 
9.1%
대 6162
 
9.1%
시 6147
 
9.0%
전 6139
 
9.0%
광 6134
 
9.0%
서 6127
 
9.0%
구 6123
 
9.0%
역 6120
 
9.0%
층 1535
 
2.3%
마 1212
 
1.8%
Other values (295) 16072
23.7%
Uppercase Letter
ValueCountFrequency (%)
A 33
20.5%
B 17
10.6%
D 16
9.9%
K 16
9.9%
L 15
9.3%
P 14
8.7%
U 13
 
8.1%
Z 12
 
7.5%
S 5
 
3.1%
H 4
 
2.5%
Other values (9) 16
9.9%
Decimal Number
ValueCountFrequency (%)
1 6953
26.6%
2 3004
11.5%
3 2488
 
9.5%
4 2260
 
8.7%
0 2068
 
7.9%
6 1944
 
7.4%
5 1905
 
7.3%
8 1860
 
7.1%
7 1850
 
7.1%
9 1783
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
e 3
25.0%
k 1
 
8.3%
r 1
 
8.3%
a 1
 
8.3%
h 1
 
8.3%
s 1
 
8.3%
u 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 53
69.7%
@ 20
 
26.3%
& 2
 
2.6%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
27358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 447
100.0%
Close Punctuation
ValueCountFrequency (%)
) 446
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67932
54.4%
Common 56722
45.4%
Latin 174
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6167
 
9.1%
대 6162
 
9.1%
시 6147
 
9.0%
전 6139
 
9.0%
광 6134
 
9.0%
서 6127
 
9.0%
구 6123
 
9.0%
역 6120
 
9.0%
층 1535
 
2.3%
마 1212
 
1.8%
Other values (294) 16066
23.7%
Latin
ValueCountFrequency (%)
A 33
19.0%
B 17
9.8%
D 16
9.2%
K 16
9.2%
L 15
8.6%
P 14
8.0%
U 13
 
7.5%
Z 12
 
6.9%
S 5
 
2.9%
H 4
 
2.3%
Other values (18) 29
16.7%
Common
ValueCountFrequency (%)
27358
48.2%
1 6953
 
12.3%
2 3004
 
5.3%
3 2488
 
4.4%
- 2266
 
4.0%
4 2260
 
4.0%
0 2068
 
3.6%
6 1944
 
3.4%
5 1905
 
3.4%
8 1860
 
3.3%
Other values (10) 4616
 
8.1%
Han
ValueCountFrequency (%)
家 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67932
54.4%
ASCII 56894
45.6%
CJK 6
 
< 0.1%
Number Forms 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27358
48.1%
1 6953
 
12.2%
2 3004
 
5.3%
3 2488
 
4.4%
- 2266
 
4.0%
4 2260
 
4.0%
0 2068
 
3.6%
6 1944
 
3.4%
5 1905
 
3.3%
8 1860
 
3.3%
Other values (36) 4788
 
8.4%
Hangul
ValueCountFrequency (%)
동 6167
 
9.1%
대 6162
 
9.1%
시 6147
 
9.0%
전 6139
 
9.0%
광 6134
 
9.0%
서 6127
 
9.0%
구 6123
 
9.0%
역 6120
 
9.0%
층 1535
 
2.3%
마 1212
 
1.8%
Other values (294) 16066
23.7%
CJK
ValueCountFrequency (%)
家 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

도로명주소
Text

Distinct5824
Distinct (%)95.1%
Missing1
Missing (%)< 0.1%
Memory size48.0 KiB
2024-03-14T20:09:04.491636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length31.586151
Min length15

Characters and Unicode

Total characters193402
Distinct characters392
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5588 ?
Unique (%)91.3%

Sample

1st row대전광역시 서구 계룡로662번길 14 (용문동,1층)
2nd row대전광역시 서구 벌곡로1384번길 80 (가수원동)
3rd row대전광역시 서구 대신1길 23 (도마동)
4th row대전광역시 서구 도산로 340, 1층 (용문동)
5th row대전광역시 서구 계룡로 663-17, 1층 (용문동)
ValueCountFrequency (%)
대전광역시 6123
 
15.7%
서구 6123
 
15.7%
1층 3454
 
8.9%
일부호 982
 
2.5%
둔산동 880
 
2.3%
갈마동 604
 
1.5%
관저동 580
 
1.5%
도안동 483
 
1.2%
탄방동 467
 
1.2%
월평동 451
 
1.2%
Other values (2709) 18835
48.3%
2024-03-14T20:09:06.078290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32860
 
17.0%
1 11560
 
6.0%
대 7192
 
3.7%
동 6845
 
3.5%
) 6756
 
3.5%
( 6756
 
3.5%
, 6352
 
3.3%
서 6306
 
3.3%
구 6255
 
3.2%
역 6209
 
3.2%
Other values (382) 96311
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106391
55.0%
Decimal Number 32997
 
17.1%
Space Separator 32860
 
17.0%
Close Punctuation 6756
 
3.5%
Open Punctuation 6756
 
3.5%
Other Punctuation 6375
 
3.3%
Dash Punctuation 1007
 
0.5%
Uppercase Letter 214
 
0.1%
Math Symbol 32
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 7192
 
6.8%
동 6845
 
6.4%
서 6306
 
5.9%
구 6255
 
5.9%
역 6209
 
5.8%
시 6167
 
5.8%
전 6149
 
5.8%
광 6137
 
5.8%
로 5945
 
5.6%
층 5392
 
5.1%
Other values (331) 43794
41.2%
Uppercase Letter
ValueCountFrequency (%)
A 43
20.1%
B 42
19.6%
D 16
 
7.5%
K 16
 
7.5%
L 15
 
7.0%
P 15
 
7.0%
U 13
 
6.1%
Z 12
 
5.6%
S 8
 
3.7%
F 7
 
3.3%
Other values (12) 27
12.6%
Decimal Number
ValueCountFrequency (%)
1 11560
35.0%
2 3875
 
11.7%
3 3278
 
9.9%
0 2720
 
8.2%
5 2427
 
7.4%
4 2208
 
6.7%
6 1959
 
5.9%
7 1823
 
5.5%
9 1603
 
4.9%
8 1544
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
o 3
25.0%
k 1
 
8.3%
r 1
 
8.3%
a 1
 
8.3%
u 1
 
8.3%
s 1
 
8.3%
h 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 6352
99.6%
@ 20
 
0.3%
& 2
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6756
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6756
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1007
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106385
55.0%
Common 86784
44.9%
Latin 227
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 7192
 
6.8%
동 6845
 
6.4%
서 6306
 
5.9%
구 6255
 
5.9%
역 6209
 
5.8%
시 6167
 
5.8%
전 6149
 
5.8%
광 6137
 
5.8%
로 5945
 
5.6%
층 5392
 
5.1%
Other values (330) 43788
41.2%
Latin
ValueCountFrequency (%)
A 43
18.9%
B 42
18.5%
D 16
 
7.0%
K 16
 
7.0%
L 15
 
6.6%
P 15
 
6.6%
U 13
 
5.7%
Z 12
 
5.3%
S 8
 
3.5%
F 7
 
3.1%
Other values (21) 40
17.6%
Common
ValueCountFrequency (%)
32860
37.9%
1 11560
 
13.3%
) 6756
 
7.8%
( 6756
 
7.8%
, 6352
 
7.3%
2 3875
 
4.5%
3 3278
 
3.8%
0 2720
 
3.1%
5 2427
 
2.8%
4 2208
 
2.5%
Other values (10) 7992
 
9.2%
Han
ValueCountFrequency (%)
家 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106385
55.0%
ASCII 87009
45.0%
CJK 6
 
< 0.1%
Number Forms 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32860
37.8%
1 11560
 
13.3%
) 6756
 
7.8%
( 6756
 
7.8%
, 6352
 
7.3%
2 3875
 
4.5%
3 3278
 
3.8%
0 2720
 
3.1%
5 2427
 
2.8%
4 2208
 
2.5%
Other values (39) 8217
 
9.4%
Hangul
ValueCountFrequency (%)
대 7192
 
6.8%
동 6845
 
6.4%
서 6306
 
5.9%
구 6255
 
5.9%
역 6209
 
5.8%
시 6167
 
5.8%
전 6149
 
5.8%
광 6137
 
5.8%
로 5945
 
5.6%
층 5392
 
5.1%
Other values (330) 43788
41.2%
CJK
ValueCountFrequency (%)
家 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170583 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.9 KiB
2024-03-14T20:09:06.443365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.0170555 × 109
median3.0170586 × 109
Q33.0170597 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)4200

Descriptive statistics

Standard deviation3860.403
Coefficient of variation (CV)1.2795255 × 10-6
Kurtosis-0.65385609
Mean3.0170583 × 109
Median Absolute Deviation (MAD)2600
Skewness0.10204158
Sum1.8476465 × 1013
Variance14902712
MonotonicityNot monotonic
2024-03-14T20:09:06.827590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3017064000 601
 
9.8%
3017055500 557
 
9.1%
3017059300 485
 
7.9%
3017056000 477
 
7.8%
3017052000 438
 
7.2%
3017058100 398
 
6.5%
3017058600 389
 
6.4%
3017059700 372
 
6.1%
3017063000 338
 
5.5%
3017058200 301
 
4.9%
Other values (13) 1768
28.9%
ValueCountFrequency (%)
3017051000 163
 
2.7%
3017052000 438
7.2%
3017053000 153
 
2.5%
3017053500 123
 
2.0%
3017054000 138
 
2.3%
3017055000 145
 
2.4%
3017055500 557
9.1%
3017056000 477
7.8%
3017057000 74
 
1.2%
3017058100 398
6.5%
ValueCountFrequency (%)
3017066000 153
 
2.5%
3017065000 197
 
3.2%
3017064000 601
9.8%
3017063000 338
5.5%
3017060000 53
 
0.9%
3017059700 372
6.1%
3017059600 291
4.8%
3017059300 485
7.9%
3017059000 104
 
1.7%
3017058800 22
 
0.4%

행정동명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size48.0 KiB
둔산2동
601 
탄방동
556 
도안동
485 
괴정동
476 
갈마1동
398 
Other values (21)
3608 

Length

Max length4
Median length4
Mean length3.5429458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용문동
2nd row가수원동
3rd row도마1동
4th row용문동
5th row용문동

Common Values

ValueCountFrequency (%)
둔산2동 601
 
9.8%
탄방동 556
 
9.1%
도안동 485
 
7.9%
괴정동 476
 
7.8%
갈마1동 398
 
6.5%
월평1동 389
 
6.4%
관저2동 372
 
6.1%
둔산1동 338
 
5.5%
도마1동 333
 
5.4%
갈마2동 300
 
4.9%
Other values (16) 1876
30.6%

Length

2024-03-14T20:09:07.276380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 601
 
9.8%
탄방동 556
 
9.1%
도안동 485
 
7.9%
괴정동 476
 
7.8%
갈마1동 398
 
6.5%
월평1동 389
 
6.4%
관저2동 372
 
6.1%
둔산1동 338
 
5.5%
도마1동 333
 
5.4%
갈마2동 300
 
4.9%
Other values (16) 1876
30.6%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170114 × 109
Minimum3.0170101 × 109
Maximum3.0170596 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.9 KiB
2024-03-14T20:09:07.654144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0170101 × 109
5-th percentile3.0170103 × 109
Q13.0170106 × 109
median3.0170112 × 109
Q33.0170113 × 109
95-th percentile3.0170116 × 109
Maximum3.0170596 × 109
Range49500
Interquartile range (IQR)700

Descriptive statistics

Standard deviation4087.4272
Coefficient of variation (CV)1.3547934 × 10-6
Kurtosis132.79101
Mean3.0170114 × 109
Median Absolute Deviation (MAD)300
Skewness11.507233
Sum1.8476178 × 1013
Variance16707061
MonotonicityNot monotonic
2024-03-14T20:09:08.053246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3017011200 1092
17.8%
3017011100 699
11.4%
3017011600 620
10.1%
3017011300 563
9.2%
3017010600 557
9.1%
3017010300 486
7.9%
3017011500 485
7.9%
3017010800 477
7.8%
3017012800 197
 
3.2%
3017010100 163
 
2.7%
Other values (8) 785
12.8%
ValueCountFrequency (%)
3017010100 163
 
2.7%
3017010200 138
 
2.3%
3017010300 486
7.9%
3017010400 123
 
2.0%
3017010500 145
 
2.4%
3017010600 557
9.1%
3017010800 477
7.8%
3017010900 74
 
1.2%
3017011000 105
 
1.7%
3017011100 699
11.4%
ValueCountFrequency (%)
3017059600 43
 
0.7%
3017012800 197
 
3.2%
3017011700 53
 
0.9%
3017011600 620
10.1%
3017011500 485
7.9%
3017011400 104
 
1.7%
3017011300 563
9.2%
3017011200 1092
17.8%
3017011100 699
11.4%
3017011000 105
 
1.7%

법정동명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size48.0 KiB
둔산동
1092 
갈마동
698 
관저동
663 
월평동
563 
탄방동
556 
Other values (13)
2552 

Length

Max length4
Median length3
Mean length2.9781189
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용문동
2nd row가수원동
3rd row도마동
4th row용문동
5th row용문동

Common Values

ValueCountFrequency (%)
둔산동 1092
17.8%
갈마동 698
11.4%
관저동 663
10.8%
월평동 563
9.2%
탄방동 556
9.1%
도마동 486
7.9%
도안동 485
7.9%
괴정동 476
7.8%
만년동 197
 
3.2%
복수동 162
 
2.6%
Other values (8) 746
12.2%

Length

2024-03-14T20:09:08.435825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산동 1092
17.8%
갈마동 698
11.4%
관저동 663
10.8%
월평동 563
9.2%
탄방동 556
9.1%
도마동 486
7.9%
도안동 485
7.9%
괴정동 476
7.8%
만년동 197
 
3.2%
복수동 162
 
2.6%
Other values (8) 746
12.2%

전화번호
Text

MISSING 

Distinct5272
Distinct (%)97.5%
Missing717
Missing (%)11.7%
Memory size48.0 KiB
2024-03-14T20:09:09.383550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.30405
Min length9

Characters and Unicode

Total characters66528
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

Unique5146 ?
Unique (%)95.2%

Sample

1st row042-533-4415
2nd row042-535-5353
3rd row042-532-7327
4th row042-534-5880
5th row042-582-3941
ValueCountFrequency (%)
042-622-5454 5
 
0.1%
042-486-5883 3
 
0.1%
042-486-5559 3
 
0.1%
042-522-2776 3
 
0.1%
042-524-8030 3
 
0.1%
042-541-1700 3
 
0.1%
042-538-5059 3
 
0.1%
042-525-1486 2
 
< 0.1%
042-583-4883 2
 
< 0.1%
042-524-6665 2
 
< 0.1%
Other values (5262) 5378
99.5%
2024-03-14T20:09:10.506566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10810
16.2%
4 9401
14.1%
0 9340
14.0%
2 9066
13.6%
5 6411
9.6%
8 4753
7.1%
7 4073
 
6.1%
3 4037
 
6.1%
1 3381
 
5.1%
9 2917
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55718
83.8%
Dash Punctuation 10810
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 9401
16.9%
0 9340
16.8%
2 9066
16.3%
5 6411
11.5%
8 4753
8.5%
7 4073
7.3%
3 4037
7.2%
1 3381
 
6.1%
9 2917
 
5.2%
6 2339
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 10810
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10810
16.2%
4 9401
14.1%
0 9340
14.0%
2 9066
13.6%
5 6411
9.6%
8 4753
7.1%
7 4073
 
6.1%
3 4037
 
6.1%
1 3381
 
5.1%
9 2917
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10810
16.2%
4 9401
14.1%
0 9340
14.0%
2 9066
13.6%
5 6411
9.6%
8 4753
7.1%
7 4073
 
6.1%
3 4037
 
6.1%
1 3381
 
5.1%
9 2917
 
4.4%

위도
Real number (ℝ)

Distinct3823
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.334228
Minimum36.196407
Maximum36.369783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.9 KiB
2024-03-14T20:09:10.920350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.196407
5-th percentile36.297993
Q136.316557
median36.341531
Q336.351243
95-th percentile36.361482
Maximum36.369783
Range0.17337578
Interquartile range (IQR)0.034686235

Descriptive statistics

Standard deviation0.022736067
Coefficient of variation (CV)0.00062574791
Kurtosis1.6235614
Mean36.334228
Median Absolute Deviation (MAD)0.012578225
Skewness-1.0397465
Sum222510.81
Variance0.00051692875
MonotonicityNot monotonic
2024-03-14T20:09:11.369695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.35234359 27
 
0.4%
36.34062922 23
 
0.4%
36.35395384 16
 
0.3%
36.35098281 15
 
0.2%
36.30733096 14
 
0.2%
36.30790331 14
 
0.2%
36.29857446 14
 
0.2%
36.30117304 13
 
0.2%
36.3499618 11
 
0.2%
36.36947692 11
 
0.2%
Other values (3813) 5966
97.4%
ValueCountFrequency (%)
36.19640749 1
< 0.1%
36.20122122 1
< 0.1%
36.20523057 1
< 0.1%
36.20789612 1
< 0.1%
36.21296381 1
< 0.1%
36.2145618 1
< 0.1%
36.21543462 1
< 0.1%
36.21590699 1
< 0.1%
36.2196338 1
< 0.1%
36.2216962 1
< 0.1%
ValueCountFrequency (%)
36.36978327 1
 
< 0.1%
36.36952315 1
 
< 0.1%
36.3694783 1
 
< 0.1%
36.36947692 11
0.2%
36.36931885 3
 
< 0.1%
36.36916443 3
 
< 0.1%
36.36890648 1
 
< 0.1%
36.3687361 7
0.1%
36.36873254 4
 
0.1%
36.36873184 1
 
< 0.1%

경도
Real number (ℝ)

Distinct3802
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.37173
Minimum127.29353
Maximum127.40117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.9 KiB
2024-03-14T20:09:11.821112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.29353
5-th percentile127.33695
Q1127.3644
median127.37596
Q3127.38406
95-th percentile127.39548
Maximum127.40117
Range0.1076416
Interquartile range (IQR)0.019664975

Descriptive statistics

Standard deviation0.017680124
Coefficient of variation (CV)0.00013880729
Kurtosis-0.15224938
Mean127.37173
Median Absolute Deviation (MAD)0.0102053
Skewness-0.80095379
Sum780024.47
Variance0.0003125868
MonotonicityNot monotonic
2024-03-14T20:09:12.276843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3785449 27
 
0.4%
127.3895614 23
 
0.4%
127.3974346 16
 
0.3%
127.3882921 15
 
0.2%
127.341165 14
 
0.2%
127.3758144 14
 
0.2%
127.3379193 14
 
0.2%
127.3341592 13
 
0.2%
127.3511748 11
 
0.2%
127.3814484 11
 
0.2%
Other values (3792) 5966
97.4%
ValueCountFrequency (%)
127.2935328 1
< 0.1%
127.3028965 2
< 0.1%
127.3083785 1
< 0.1%
127.3120639 1
< 0.1%
127.3180858 1
< 0.1%
127.3214389 1
< 0.1%
127.3217797 1
< 0.1%
127.3218162 1
< 0.1%
127.3219448 1
< 0.1%
127.3222983 1
< 0.1%
ValueCountFrequency (%)
127.4011744 1
< 0.1%
127.4007707 1
< 0.1%
127.4006946 1
< 0.1%
127.4006922 1
< 0.1%
127.4006592 1
< 0.1%
127.4006557 1
< 0.1%
127.4006471 1
< 0.1%
127.4004384 1
< 0.1%
127.4004249 1
< 0.1%
127.4004142 2
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.0 KiB
Minimum2024-01-10 00:00:00
Maximum2024-01-10 00:00:00
2024-03-14T20:09:12.624771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:09:12.935374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T20:08:54.995306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:50.226236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:51.589549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:52.977133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:53.929256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:55.261466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:50.489998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:51.873883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:53.146370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:54.103224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:55.538195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:50.769536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:52.180344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:53.414876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:54.291402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:55.801229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:51.036510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:52.452346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:53.581552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:54.544052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:55.977996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:51.317619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:52.751796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:53.760427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:08:54.740168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:09:13.149920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동코드행정동명법정동코드법정동명위도경도
순번1.0000.1430.2580.1250.1980.1840.275
행정동코드0.1431.0001.0000.1210.9670.0390.053
행정동명0.2581.0001.0001.0001.0000.0560.072
법정동코드0.1250.1211.0001.0000.3000.0000.000
법정동명0.1980.9671.0000.3001.0000.0300.058
위도0.1840.0390.0560.0000.0301.0000.798
경도0.2750.0530.0720.0000.0580.7981.000
2024-03-14T20:09:13.424216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명행정동명
법정동명1.0000.999
행정동명0.9991.000
2024-03-14T20:09:13.669739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동코드법정동코드위도경도행정동명법정동명
순번1.0000.0680.081-0.118-0.1520.0930.078
행정동코드0.0681.0000.821-0.0060.0060.9990.869
법정동코드0.0810.8211.000-0.013-0.0050.9980.236
위도-0.118-0.006-0.0131.0000.4050.0200.012
경도-0.1520.006-0.0050.4051.0000.0250.022
행정동명0.0930.9990.9980.0200.0251.0000.999
법정동명0.0780.8690.2360.0120.0220.9991.000

Missing values

2024-03-14T20:08:56.209241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:08:56.519657image/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.
2024-03-14T20:08:56.746410image/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

순번업종명업소명지번주소도로명주소행정동코드행정동명법정동코드법정동명전화번호위도경도데이터기준일자
01일반음식점광천식당대전광역시 서구 용문동 256-25 1층대전광역시 서구 계룡로662번길 14 (용문동,1층)3017055000용문동3017010500용문동042-533-441536.336184127.3943692024-01-10
12일반음식점우래옥대전광역시 서구 가수원동 175-4대전광역시 서구 벌곡로1384번길 80 (가수원동)3017059000가수원동3017011400가수원동042-535-535336.339634127.3661452024-01-10
23일반음식점서해해물손칼국수대전광역시 서구 도마동 174-3대전광역시 서구 대신1길 23 (도마동)3017052000도마1동3017010300도마동042-532-732736.336606127.3941182024-01-10
34일반음식점원앙식당대전광역시 서구 용문동 277-4 1층대전광역시 서구 도산로 340, 1층 (용문동)3017055000용문동3017010500용문동042-534-588036.304433127.3581142024-01-10
45일반음식점토속돌구이대전광역시 서구 용문동 244-58대전광역시 서구 계룡로 663-17, 1층 (용문동)3017055000용문동3017010500용문동042-582-394136.31239127.3802482024-01-10
56일반음식점동양돌구이대전광역시 서구 정림동 688 1층대전광역시 서구 정림서로 134-3 (정림동,1층)3017053000도마2동3017010300도마동042-523-284836.336586127.3932662024-01-10
67일반음식점충무할매낙지볶음대전광역시 서구 도마동 67-36대전광역시 서구 도산로 141, 1,2층 (도마동)3017052000도마1동3017010300도마동042-531-934836.335249127.389882024-01-10
78일반음식점멕시카나치킨대전광역시 서구 도마동 129-36대전광역시 서구 도산로 84 (도마동)3017052000도마1동3017010300도마동042-526-138936.337792127.3955342024-01-10
89일반음식점정림가든대전광역시 서구 도마동 100-15대전광역시 서구 도산로 103 (도마동)3017053000도마2동3017010300도마동042-583-860036.307517127.3692212024-01-10
910일반음식점우남성대전광역시 서구 도마동 101-6대전광역시 서구 사마1길 22 (도마동)3017052000도마1동3017010300도마동042-586-680036.29971127.3634462024-01-10
순번업종명업소명지번주소도로명주소행정동코드행정동명법정동코드법정동명전화번호위도경도데이터기준일자
61146115일반음식점프라비제대전광역시 서구 둔산동 1088-1대전광역시 서구 대덕대로185번길 623017064000둔산2동3017011200둔산동042-487-423636.351438127.3743062024-01-10
61156116일반음식점아저씨맥주가게대전광역시 서구 도마동 180-9대전광역시 서구 대신4길 53017052000도마1동3017010300도마동042-581-808836.311414127.3830482024-01-10
61166117일반음식점스텔라떡볶이 대전둔산점대전광역시 서구 둔산동 1453대전광역시 서구 둔산로 1303017063000둔산1동3017011200둔산동042-484-388836.350983127.3882922024-01-10
61176118일반음식점가도누들대전광역시 서구 갈마동 273-24대전광역시 서구 계룡로 3953017058100갈마1동3017011100갈마동0507-1397-878636.351394127.3721592024-01-10
61186119일반음식점두돈또돈대전광역시 서구 도안동 960대전광역시 서구 도안북로118번길 853017059300도안동3017011500도안동0507-1362-199536.329828127.3410742024-01-10
61196120일반음식점족슐랭 대전서구도마점대전광역시 서구 도마동 180-15대전광역시 서구 도산로 133017052000도마1동3017010300도마동042-584-022236.31139127.3836982024-01-10
61206121일반음식점커피스토리대전광역시 서구 가수원동 772-12대전광역시 서구 벌곡로1349번길 223017059000가수원동3017011400가수원동042-710-363136.301613127.3531972024-01-10
61216122일반음식점크라운호프 대전둔산점대전광역시 서구 둔산동 1088-1대전광역시 서구 대덕대로185번길 623017064000둔산2동3017011200둔산동0507-1310-813036.351438127.3743062024-01-10
61226123일반음식점케이엠지엠 대전시청점대전광역시 서구 둔산동 1488-1대전광역시 서구 둔산남로105번길 323017063000둔산1동3017011200둔산동0507-1414-113036.350435127.3894852024-01-10
61236124일반음식점백소정 대전타임월드점대전광역시 서구 둔산동 1006대전광역시 서구 둔산로31번길 503017064000둔산2동3017011200둔산동042-485-212936.353929127.3778032024-01-10