Overview

Dataset statistics

Number of variables9
Number of observations221
Missing cells221
Missing cells (%)11.1%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory16.3 KiB
Average record size in memory75.6 B

Variable types

Categorical4
Text2
Numeric2
Unsupported1

Dataset

Description대전광역시 자원봉사활동할인가맹점의 시군구, 상호명, 주소, 업종, 할인율, x좌표, y좌표, 비고 등 현황입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073532/fileData.do

Alerts

시도 has constant value ""Constant
Dataset has 1 (0.5%) duplicate rowsDuplicates
X좌표 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with X좌표High correlation
할인율 is highly imbalanced (55.8%)Imbalance
비고 has 221 (100.0%) missing valuesMissing
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 02:44:46.749414
Analysis finished2023-12-12 02:44:48.021089
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
대전광역시
221 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 221
100.0%

Length

2023-12-12T11:44:48.094418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:44:48.208557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 221
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
유성구
60 
서구
46 
동구
44 
대덕구
39 
중구
32 

Length

Max length3
Median length2
Mean length2.4479638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유성구 60
27.1%
서구 46
20.8%
동구 44
19.9%
대덕구 39
17.6%
중구 32
14.5%

Length

2023-12-12T11:44:48.337394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:44:48.477015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유성구 60
27.1%
서구 46
20.8%
동구 44
19.9%
대덕구 39
17.6%
중구 32
14.5%

상호명
Text

Distinct220
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T11:44:48.897371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.8325792
Min length2

Characters and Unicode

Total characters1289
Distinct characters354
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)99.1%

Sample

1st row오정꽃화원
2nd row꽃집이네
3rd row경동모터스 주식회사
4th row한남종합카
5th row청송카센터
ValueCountFrequency (%)
거훈식당 2
 
0.7%
감자탕 2
 
0.7%
도안점 2
 
0.7%
w여성병원 1
 
0.4%
기쁨꽃방 1
 
0.4%
떡미당 1
 
0.4%
맘보 1
 
0.4%
대전과학기술대학교(평생교육원 1
 
0.4%
수정방앗간 1
 
0.4%
선비촌 1
 
0.4%
Other values (258) 258
95.2%
2023-12-12T11:44:49.486088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
3.9%
원 36
 
2.8%
이 28
 
2.2%
스 25
 
1.9%
카 24
 
1.9%
리 22
 
1.7%
대 20
 
1.6%
수 19
 
1.5%
용 18
 
1.4%
식 17
 
1.3%
Other values (344) 1030
79.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1188
92.2%
Space Separator 50
 
3.9%
Uppercase Letter 18
 
1.4%
Lowercase Letter 12
 
0.9%
Decimal Number 9
 
0.7%
Other Punctuation 4
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 36
 
3.0%
이 28
 
2.4%
스 25
 
2.1%
카 24
 
2.0%
리 22
 
1.9%
대 20
 
1.7%
수 19
 
1.6%
용 18
 
1.5%
식 17
 
1.4%
어 17
 
1.4%
Other values (310) 962
81.0%
Uppercase Letter
ValueCountFrequency (%)
T 3
16.7%
Y 2
11.1%
W 2
11.1%
K 2
11.1%
B 1
 
5.6%
C 1
 
5.6%
R 1
 
5.6%
N 1
 
5.6%
M 1
 
5.6%
V 1
 
5.6%
Other values (3) 3
16.7%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
i 2
16.7%
o 2
16.7%
e 1
8.3%
h 1
8.3%
s 1
8.3%
l 1
8.3%
j 1
8.3%
r 1
8.3%
Decimal Number
ValueCountFrequency (%)
5 3
33.3%
4 2
22.2%
1 2
22.2%
2 1
 
11.1%
9 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
' 1
 
25.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1189
92.2%
Common 70
 
5.4%
Latin 30
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 36
 
3.0%
이 28
 
2.4%
스 25
 
2.1%
카 24
 
2.0%
리 22
 
1.9%
대 20
 
1.7%
수 19
 
1.6%
용 18
 
1.5%
식 17
 
1.4%
어 17
 
1.4%
Other values (311) 963
81.0%
Latin
ValueCountFrequency (%)
T 3
 
10.0%
Y 2
 
6.7%
W 2
 
6.7%
a 2
 
6.7%
i 2
 
6.7%
o 2
 
6.7%
K 2
 
6.7%
e 1
 
3.3%
h 1
 
3.3%
B 1
 
3.3%
Other values (12) 12
40.0%
Common
ValueCountFrequency (%)
50
71.4%
. 3
 
4.3%
5 3
 
4.3%
) 3
 
4.3%
( 3
 
4.3%
4 2
 
2.9%
1 2
 
2.9%
- 1
 
1.4%
2 1
 
1.4%
' 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1188
92.2%
ASCII 100
 
7.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
50.0%
. 3
 
3.0%
5 3
 
3.0%
T 3
 
3.0%
) 3
 
3.0%
( 3
 
3.0%
4 2
 
2.0%
1 2
 
2.0%
Y 2
 
2.0%
W 2
 
2.0%
Other values (23) 27
27.0%
Hangul
ValueCountFrequency (%)
원 36
 
3.0%
이 28
 
2.4%
스 25
 
2.1%
카 24
 
2.0%
리 22
 
1.9%
대 20
 
1.7%
수 19
 
1.6%
용 18
 
1.5%
식 17
 
1.4%
어 17
 
1.4%
Other values (310) 962
81.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct220
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T11:44:49.840001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length24.841629
Min length17

Characters and Unicode

Total characters5490
Distinct characters170
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)99.1%

Sample

1st row대전광역시 대덕구 오정로78번길 81 (오정동)
2nd row대전광역시 대덕구 덕암로 260 (덕암동)
3rd row대전광역시 대덕구 신탄진로 588 (상서동)
4th row대전광역시 대덕구 아리랑로 108 (읍내동)
5th row대전광역시 대덕구 아리랑로191 (법동)
ValueCountFrequency (%)
대전광역시 221
 
19.9%
유성구 61
 
5.5%
서구 45
 
4.1%
동구 44
 
4.0%
대덕구 39
 
3.5%
중구 32
 
2.9%
오정동 12
 
1.1%
둔산동 10
 
0.9%
신탄진동 7
 
0.6%
도마동 7
 
0.6%
Other values (411) 631
56.9%
2023-12-12T11:44:50.362640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
888
 
16.2%
대 359
 
6.5%
동 279
 
5.1%
전 248
 
4.5%
구 224
 
4.1%
역 222
 
4.0%
시 222
 
4.0%
광 221
 
4.0%
로 216
 
3.9%
( 213
 
3.9%
Other values (160) 2398
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3299
60.1%
Space Separator 888
 
16.2%
Decimal Number 833
 
15.2%
Open Punctuation 213
 
3.9%
Close Punctuation 212
 
3.9%
Dash Punctuation 31
 
0.6%
Other Punctuation 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 359
 
10.9%
동 279
 
8.5%
전 248
 
7.5%
구 224
 
6.8%
역 222
 
6.7%
시 222
 
6.7%
광 221
 
6.7%
로 216
 
6.5%
길 94
 
2.8%
번 90
 
2.7%
Other values (144) 1124
34.1%
Decimal Number
ValueCountFrequency (%)
1 199
23.9%
2 115
13.8%
4 82
9.8%
3 79
 
9.5%
0 68
 
8.2%
6 63
 
7.6%
7 63
 
7.6%
8 56
 
6.7%
9 55
 
6.6%
5 53
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
? 1
 
7.1%
Space Separator
ValueCountFrequency (%)
888
100.0%
Open Punctuation
ValueCountFrequency (%)
( 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3299
60.1%
Common 2191
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 359
 
10.9%
동 279
 
8.5%
전 248
 
7.5%
구 224
 
6.8%
역 222
 
6.7%
시 222
 
6.7%
광 221
 
6.7%
로 216
 
6.5%
길 94
 
2.8%
번 90
 
2.7%
Other values (144) 1124
34.1%
Common
ValueCountFrequency (%)
888
40.5%
( 213
 
9.7%
) 212
 
9.7%
1 199
 
9.1%
2 115
 
5.2%
4 82
 
3.7%
3 79
 
3.6%
0 68
 
3.1%
6 63
 
2.9%
7 63
 
2.9%
Other values (6) 209
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3299
60.1%
ASCII 2191
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
888
40.5%
( 213
 
9.7%
) 212
 
9.7%
1 199
 
9.1%
2 115
 
5.2%
4 82
 
3.7%
3 79
 
3.6%
0 68
 
3.1%
6 63
 
2.9%
7 63
 
2.9%
Other values (6) 209
 
9.5%
Hangul
ValueCountFrequency (%)
대 359
 
10.9%
동 279
 
8.5%
전 248
 
7.5%
구 224
 
6.8%
역 222
 
6.7%
시 222
 
6.7%
광 221
 
6.7%
로 216
 
6.5%
길 94
 
2.8%
번 90
 
2.7%
Other values (144) 1124
34.1%

업종
Categorical

Distinct43
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
음식점
88 
차량정비
32 
이미용
27 
안경원
 
6
병원
 
6
Other values (38)
62 

Length

Max length11
Median length3
Mean length3.1719457
Min length2

Unique

Unique25 ?
Unique (%)11.3%

Sample

1st row화훼
2nd row화훼
3rd row차량정비
4th row차량정비
5th row차량정비

Common Values

ValueCountFrequency (%)
음식점 88
39.8%
차량정비 32
 
14.5%
이미용 27
 
12.2%
안경원 6
 
2.7%
병원 6
 
2.7%
의원 6
 
2.7%
화훼 5
 
2.3%
안경점 4
 
1.8%
미용실 3
 
1.4%
종합병원 3
 
1.4%
Other values (33) 41
18.6%

Length

2023-12-12T11:44:50.518176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 88
38.6%
차량정비 32
 
14.0%
이미용 27
 
11.8%
안경원 6
 
2.6%
병원 6
 
2.6%
의원 6
 
2.6%
화훼 5
 
2.2%
안경점 4
 
1.8%
미용실 3
 
1.3%
종합병원 3
 
1.3%
Other values (38) 48
21.1%

할인율
Categorical

IMBALANCE 

Distinct25
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
5%
121 
10%
67 
20%
 
5
일부10%
 
3
20%(일부)
 
2
Other values (20)
23 

Length

Max length10
Median length2
Mean length2.8461538
Min length2

Unique

Unique17 ?
Unique (%)7.7%

Sample

1st row5%
2nd row5%
3rd row20%
4th row10%
5th row10%

Common Values

ValueCountFrequency (%)
5% 121
54.8%
10% 67
30.3%
20% 5
 
2.3%
일부10% 3
 
1.4%
20%(일부) 2
 
0.9%
5~10% 2
 
0.9%
30% 2
 
0.9%
일부5% 2
 
0.9%
일부30%(비급여) 1
 
0.5%
10%이내 1
 
0.5%
Other values (15) 15
 
6.8%

Length

2023-12-12T11:44:50.688822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5 121
54.5%
10 68
30.6%
20 5
 
2.3%
일부10 3
 
1.4%
20%(일부 2
 
0.9%
5~10 2
 
0.9%
30 2
 
0.9%
일부5 2
 
0.9%
종합검진10 1
 
0.5%
일부10%(비급여 1
 
0.5%
Other values (15) 15
 
6.8%

X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct218
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.39447
Minimum127.31104
Maximum127.469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T11:44:50.826147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.31104
5-th percentile127.32153
Q1127.35366
median127.4096
Q3127.42889
95-th percentile127.45301
Maximum127.469
Range0.1579643
Interquartile range (IQR)0.075232

Descriptive statistics

Standard deviation0.041871446
Coefficient of variation (CV)0.00032867553
Kurtosis-1.0682752
Mean127.39447
Median Absolute Deviation (MAD)0.0262424
Skewness-0.33625734
Sum28154.179
Variance0.001753218
MonotonicityNot monotonic
2023-12-12T11:44:51.008557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4297725 2
 
0.9%
127.3444755 2
 
0.9%
127.3762076 2
 
0.9%
127.4128436 1
 
0.5%
127.4142585 1
 
0.5%
127.3399883 1
 
0.5%
127.3936413 1
 
0.5%
127.4108717 1
 
0.5%
127.4288935 1
 
0.5%
127.4054138 1
 
0.5%
Other values (208) 208
94.1%
ValueCountFrequency (%)
127.3110378 1
0.5%
127.3123329 1
0.5%
127.313067 1
0.5%
127.3177789 1
0.5%
127.3184098 1
0.5%
127.3184201 1
0.5%
127.3186195 1
0.5%
127.3189749 1
0.5%
127.3199149 1
0.5%
127.3199223 1
0.5%
ValueCountFrequency (%)
127.4690021 1
0.5%
127.4671217 1
0.5%
127.4668602 1
0.5%
127.4666734 1
0.5%
127.4635062 1
0.5%
127.463 1
0.5%
127.4608162 1
0.5%
127.4605806 1
0.5%
127.4593089 1
0.5%
127.4556461 1
0.5%

Y좌표
Real number (ℝ)

Distinct218
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.349303
Minimum36.279899
Maximum36.451716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T11:44:51.160474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.279899
5-th percentile36.299065
Q136.325431
median36.345088
Q336.360693
95-th percentile36.443371
Maximum36.451716
Range0.1718174
Interquartile range (IQR)0.03526128

Descriptive statistics

Standard deviation0.037539693
Coefficient of variation (CV)0.0010327486
Kurtosis1.1738209
Mean36.349303
Median Absolute Deviation (MAD)0.01727626
Skewness1.0849869
Sum8033.196
Variance0.0014092285
MonotonicityNot monotonic
2023-12-12T11:44:51.302552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.45025327 2
 
0.9%
36.34269493 2
 
0.9%
36.35187688 2
 
0.9%
36.35596449 1
 
0.5%
36.32317484 1
 
0.5%
36.29873427 1
 
0.5%
36.34645977 1
 
0.5%
36.32479852 1
 
0.5%
36.3185229 1
 
0.5%
36.32191458 1
 
0.5%
Other values (208) 208
94.1%
ValueCountFrequency (%)
36.27989901 1
0.5%
36.28222378 1
0.5%
36.28348635 1
0.5%
36.28351175 1
0.5%
36.28578489 1
0.5%
36.29434759 1
0.5%
36.29458127 1
0.5%
36.29653779 1
0.5%
36.29862202 1
0.5%
36.29873427 1
0.5%
ValueCountFrequency (%)
36.45171641 1
0.5%
36.45152468 1
0.5%
36.45039919 1
0.5%
36.45025327 2
0.9%
36.44955925 1
0.5%
36.44905502 1
0.5%
36.44817556 1
0.5%
36.44806956 1
0.5%
36.44714486 1
0.5%
36.44343786 1
0.5%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing221
Missing (%)100.0%
Memory size2.1 KiB

Interactions

2023-12-12T11:44:47.525283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:47.227045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:47.627994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:47.408532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:44:51.416418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구업종할인율X좌표Y좌표
시군구1.0000.5470.1960.9450.799
업종0.5471.0000.9000.6120.000
할인율0.1960.9001.0000.3000.000
X좌표0.9450.6120.3001.0000.718
Y좌표0.7990.0000.0000.7181.000
2023-12-12T11:44:51.505400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종시군구할인율
업종1.0000.2610.407
시군구0.2611.0000.078
할인율0.4070.0781.000
2023-12-12T11:44:51.596408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표시군구업종할인율
X좌표1.000-0.1940.6720.2370.104
Y좌표-0.1941.0000.4500.0000.000
시군구0.6720.4501.0000.2610.078
업종0.2370.0000.2611.0000.407
할인율0.1040.0000.0780.4071.000

Missing values

2023-12-12T11:44:47.808930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:44:47.968814image/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

시도시군구상호명주소업종할인율X좌표Y좌표비고
0대전광역시대덕구오정꽃화원대전광역시 대덕구 오정로78번길 81 (오정동)화훼5%127.41284436.355964<NA>
1대전광역시대덕구꽃집이네대전광역시 대덕구 덕암로 260 (덕암동)화훼5%127.42557236.443438<NA>
2대전광역시대덕구경동모터스 주식회사대전광역시 대덕구 신탄진로 588 (상서동)차량정비20%127.42287636.430961<NA>
3대전광역시대덕구한남종합카대전광역시 대덕구 아리랑로 108 (읍내동)차량정비10%127.41629136.374817<NA>
4대전광역시대덕구청송카센터대전광역시 대덕구 아리랑로191 (법동)차량정비10%127.42504836.373625<NA>
5대전광역시대덕구조일카센타대전광역시 대덕구 한밭대로1006번길 40 (오정동)차량정비5%127.41154636.356616<NA>
6대전광역시대덕구제일오토미션대전광역시 대덕구 한밭대로 1160 (중리동)차량정비10%127.42747636.358613<NA>
7대전광역시대덕구정성카써비스대전광역시 대덕구 한밭대로 1014 (오정동)차량정비10%127.41129236.357822<NA>
8대전광역시대덕구영광카서비스대전광역시 대덕구 아리랑로 158 (읍내동)차량정비10%127.4212136.372696<NA>
9대전광역시대덕구쌍용카센타대전광역시 대덕구 한밭대로 1132 (중리동)차량정비10%127.42430136.35849<NA>
시도시군구상호명주소업종할인율X좌표Y좌표비고
211대전광역시동구오씨칼국수대전광역시 동구 중앙로204번길 75 (원동)음식점5%127.43384936.327811<NA>
212대전광역시동구예산본석갈비대전광역시 동구 대전로797번길 47 (중동)음식점5%127.43049436.329688<NA>
213대전광역시동구서울치킨대전광역시 동구 대전로791번길 28 (중동)음식점5%127.43164136.329793<NA>
214대전광역시동구생일집대전광역시 동구 대전로791번길 45 (중동)음식점5%127.43085336.32932<NA>
215대전광역시동구백천순대대전광역시 동구 대전로791번길 48-1 (중동)음식점5%127.43064136.3294<NA>
216대전광역시동구남경반점대전광역시 동구 대전천동로 506-6 (원동)음식점5%127.43298936.326591<NA>
217대전광역시동구예뫼골대전광역시 동구 곤룡로 8 (낭월동)음식점5%127.46900236.279899<NA>
218대전광역시동구한성식당대전광역시 동구 우암로366 (가양2동)음식점10%127.45300936.351495<NA>
219대전광역시동구아이에스안경원대전광역시 동구 옥천로170 (판암1동)안경원10%127.45930936.31678<NA>
220대전광역시동구안경나라대전광역시 동구 동대전로 160 (자양동)안경원10%127.44731336.336058<NA>

Duplicate rows

Most frequently occurring

시도시군구상호명주소업종할인율X좌표Y좌표# duplicates
0대전광역시대덕구거훈식당대전광역시 대덕구 신탄진동로7번길 60 (신탄진동)음식점5%127.42977236.4502532