Overview

Dataset statistics

Number of variables7
Number of observations167
Missing cells2
Missing cells (%)0.2%
Duplicate rows2
Duplicate rows (%)1.2%
Total size in memory9.6 KiB
Average record size in memory58.8 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내 제과점현황에 대한 데이터로 업종명, 업소명, 소재지, 위도, 경도의 항목을 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15055971/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (1.2%) duplicate rowsDuplicates
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
소재지(도로명) has 2 (1.2%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:21:18.970172
Analysis finished2024-04-06 08:21:20.749955
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
제과점영업
167 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 167
100.0%

Length

2024-04-06T17:21:20.881081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:21:21.137800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 167
100.0%

업소명
Text

Distinct165
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T17:21:21.562271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22
Mean length8.257485
Min length2

Characters and Unicode

Total characters1379
Distinct characters304
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)97.6%

Sample

1st row노베케이션(No Vacation)
2nd row그랜드파파(Grand papa)
3rd row위드윗(withwheat)
4th row허니제과
5th row도트베이글팩토리(DOT BAGEL FACTORY)
ValueCountFrequency (%)
bakery 3
 
1.5%
버터리팬트리(buttery 2
 
1.0%
제일성심당 2
 
1.0%
파리바게뜨 2
 
1.0%
cake 2
 
1.0%
중문점 2
 
1.0%
호도제과 2
 
1.0%
pantry 2
 
1.0%
빵순이 1
 
0.5%
파리바게트제주영어도시점 1
 
0.5%
Other values (176) 176
90.3%
2024-04-06T17:21:22.791800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 65
 
4.7%
점 44
 
3.2%
이 43
 
3.1%
제 42
 
3.0%
베 34
 
2.5%
커 31
 
2.2%
28
 
2.0%
빵 26
 
1.9%
스 24
 
1.7%
( 22
 
1.6%
Other values (294) 1020
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1092
79.2%
Lowercase Letter 102
 
7.4%
Uppercase Letter 100
 
7.3%
Space Separator 28
 
2.0%
Open Punctuation 22
 
1.6%
Close Punctuation 22
 
1.6%
Decimal Number 11
 
0.8%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 65
 
6.0%
점 44
 
4.0%
이 43
 
3.9%
제 42
 
3.8%
베 34
 
3.1%
커 31
 
2.8%
빵 26
 
2.4%
스 24
 
2.2%
서 20
 
1.8%
포 18
 
1.6%
Other values (243) 745
68.2%
Uppercase Letter
ValueCountFrequency (%)
A 10
 
10.0%
B 9
 
9.0%
T 8
 
8.0%
E 8
 
8.0%
O 8
 
8.0%
C 7
 
7.0%
R 7
 
7.0%
Y 5
 
5.0%
K 5
 
5.0%
P 4
 
4.0%
Other values (12) 29
29.0%
Lowercase Letter
ValueCountFrequency (%)
a 13
12.7%
e 13
12.7%
i 10
9.8%
r 8
 
7.8%
k 8
 
7.8%
o 7
 
6.9%
n 7
 
6.9%
t 5
 
4.9%
y 4
 
3.9%
s 4
 
3.9%
Other values (9) 23
22.5%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
1 4
36.4%
3 1
 
9.1%
0 1
 
9.1%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1091
79.1%
Latin 202
 
14.6%
Common 85
 
6.2%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 65
 
6.0%
점 44
 
4.0%
이 43
 
3.9%
제 42
 
3.8%
베 34
 
3.1%
커 31
 
2.8%
빵 26
 
2.4%
스 24
 
2.2%
서 20
 
1.8%
포 18
 
1.6%
Other values (242) 744
68.2%
Latin
ValueCountFrequency (%)
a 13
 
6.4%
e 13
 
6.4%
A 10
 
5.0%
i 10
 
5.0%
B 9
 
4.5%
T 8
 
4.0%
r 8
 
4.0%
E 8
 
4.0%
O 8
 
4.0%
k 8
 
4.0%
Other values (31) 107
53.0%
Common
ValueCountFrequency (%)
28
32.9%
( 22
25.9%
) 22
25.9%
2 4
 
4.7%
1 4
 
4.7%
3 1
 
1.2%
0 1
 
1.2%
& 1
 
1.2%
4 1
 
1.2%
' 1
 
1.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1091
79.1%
ASCII 287
 
20.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 65
 
6.0%
점 44
 
4.0%
이 43
 
3.9%
제 42
 
3.8%
베 34
 
3.1%
커 31
 
2.8%
빵 26
 
2.4%
스 24
 
2.2%
서 20
 
1.8%
포 18
 
1.6%
Other values (242) 744
68.2%
ASCII
ValueCountFrequency (%)
28
 
9.8%
( 22
 
7.7%
) 22
 
7.7%
a 13
 
4.5%
e 13
 
4.5%
A 10
 
3.5%
i 10
 
3.5%
B 9
 
3.1%
T 8
 
2.8%
r 8
 
2.8%
Other values (41) 144
50.2%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct156
Distinct (%)94.5%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-04-06T17:21:23.411456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.230303
Min length23

Characters and Unicode

Total characters4988
Distinct characters167
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

Unique149 ?
Unique (%)90.3%

Sample

1st row제주특별자치도 서귀포시 표선면 민속해안로 635
2nd row제주특별자치도 서귀포시 태평로353번길 14, 1층 (서귀동)
3rd row제주특별자치도 서귀포시 중앙로 261 (서홍동)
4th row제주특별자치도 서귀포시 대정읍 서광남로 77, 1층
5th row제주특별자치도 서귀포시 서호호근로96번길 20 (서호동)
ValueCountFrequency (%)
제주특별자치도 165
 
17.7%
서귀포시 165
 
17.7%
1층 56
 
6.0%
대정읍 25
 
2.7%
안덕면 23
 
2.5%
성산읍 16
 
1.7%
서귀동 12
 
1.3%
동홍동 12
 
1.3%
표선면 10
 
1.1%
남원읍 10
 
1.1%
Other values (281) 437
46.9%
2024-04-06T17:21:24.556494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
766
 
15.4%
서 215
 
4.3%
1 194
 
3.9%
귀 181
 
3.6%
주 179
 
3.6%
제 174
 
3.5%
시 172
 
3.4%
도 171
 
3.4%
포 170
 
3.4%
로 166
 
3.3%
Other values (157) 2600
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3250
65.2%
Space Separator 766
 
15.4%
Decimal Number 679
 
13.6%
Other Punctuation 86
 
1.7%
Close Punctuation 84
 
1.7%
Open Punctuation 84
 
1.7%
Dash Punctuation 34
 
0.7%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 215
 
6.6%
귀 181
 
5.6%
주 179
 
5.5%
제 174
 
5.4%
시 172
 
5.3%
도 171
 
5.3%
포 170
 
5.2%
로 166
 
5.1%
치 165
 
5.1%
특 165
 
5.1%
Other values (138) 1492
45.9%
Decimal Number
ValueCountFrequency (%)
1 194
28.6%
2 97
14.3%
3 65
 
9.6%
4 55
 
8.1%
0 52
 
7.7%
6 52
 
7.7%
7 47
 
6.9%
5 44
 
6.5%
8 41
 
6.0%
9 32
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3250
65.2%
Common 1735
34.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 215
 
6.6%
귀 181
 
5.6%
주 179
 
5.5%
제 174
 
5.4%
시 172
 
5.3%
도 171
 
5.3%
포 170
 
5.2%
로 166
 
5.1%
치 165
 
5.1%
특 165
 
5.1%
Other values (138) 1492
45.9%
Common
ValueCountFrequency (%)
766
44.1%
1 194
 
11.2%
2 97
 
5.6%
, 86
 
5.0%
) 84
 
4.8%
( 84
 
4.8%
3 65
 
3.7%
4 55
 
3.2%
0 52
 
3.0%
6 52
 
3.0%
Other values (6) 200
 
11.5%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3250
65.2%
ASCII 1738
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
766
44.1%
1 194
 
11.2%
2 97
 
5.6%
, 86
 
4.9%
) 84
 
4.8%
( 84
 
4.8%
3 65
 
3.7%
4 55
 
3.2%
0 52
 
3.0%
6 52
 
3.0%
Other values (9) 203
 
11.7%
Hangul
ValueCountFrequency (%)
서 215
 
6.6%
귀 181
 
5.6%
주 179
 
5.5%
제 174
 
5.4%
시 172
 
5.3%
도 171
 
5.3%
포 170
 
5.2%
로 166
 
5.1%
치 165
 
5.1%
특 165
 
5.1%
Other values (138) 1492
45.9%

소재지(지번)
Text

Distinct159
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T17:21:25.484570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length26.844311
Min length20

Characters and Unicode

Total characters4483
Distinct characters119
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

Unique152 ?
Unique (%)91.0%

Sample

1st row제주특별자치도 서귀포시 표선면 표선리 40-3
2nd row제주특별자치도 서귀포시 서귀동 829-5
3rd row제주특별자치도 서귀포시 서홍동 166-5
4th row제주특별자치도 서귀포시 대정읍 구억리 365-5
5th row제주특별자치도 서귀포시 서호동 325-1
ValueCountFrequency (%)
제주특별자치도 167
20.7%
서귀포시 167
20.7%
대정읍 26
 
3.2%
안덕면 23
 
2.9%
성산읍 16
 
2.0%
동홍동 13
 
1.6%
1층 12
 
1.5%
서귀동 12
 
1.5%
고성리 12
 
1.5%
표선면 10
 
1.2%
Other values (221) 347
43.1%
2024-04-06T17:21:26.948201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
801
 
17.9%
서 199
 
4.4%
귀 182
 
4.1%
도 170
 
3.8%
포 170
 
3.8%
시 169
 
3.8%
제 167
 
3.7%
특 167
 
3.7%
별 167
 
3.7%
자 167
 
3.7%
Other values (109) 2124
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2827
63.1%
Space Separator 801
 
17.9%
Decimal Number 730
 
16.3%
Dash Punctuation 117
 
2.6%
Other Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 199
 
7.0%
귀 182
 
6.4%
도 170
 
6.0%
포 170
 
6.0%
시 169
 
6.0%
제 167
 
5.9%
특 167
 
5.9%
별 167
 
5.9%
자 167
 
5.9%
치 167
 
5.9%
Other values (94) 1102
39.0%
Decimal Number
ValueCountFrequency (%)
1 159
21.8%
2 113
15.5%
3 76
10.4%
4 69
9.5%
5 64
8.8%
8 54
 
7.4%
0 50
 
6.8%
7 50
 
6.8%
6 48
 
6.6%
9 47
 
6.4%
Space Separator
ValueCountFrequency (%)
801
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2827
63.1%
Common 1656
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 199
 
7.0%
귀 182
 
6.4%
도 170
 
6.0%
포 170
 
6.0%
시 169
 
6.0%
제 167
 
5.9%
특 167
 
5.9%
별 167
 
5.9%
자 167
 
5.9%
치 167
 
5.9%
Other values (94) 1102
39.0%
Common
ValueCountFrequency (%)
801
48.4%
1 159
 
9.6%
- 117
 
7.1%
2 113
 
6.8%
3 76
 
4.6%
4 69
 
4.2%
5 64
 
3.9%
8 54
 
3.3%
0 50
 
3.0%
7 50
 
3.0%
Other values (5) 103
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2827
63.1%
ASCII 1656
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
801
48.4%
1 159
 
9.6%
- 117
 
7.1%
2 113
 
6.8%
3 76
 
4.6%
4 69
 
4.2%
5 64
 
3.9%
8 54
 
3.3%
0 50
 
3.0%
7 50
 
3.0%
Other values (5) 103
 
6.2%
Hangul
ValueCountFrequency (%)
서 199
 
7.0%
귀 182
 
6.4%
도 170
 
6.0%
포 170
 
6.0%
시 169
 
6.0%
제 167
 
5.9%
특 167
 
5.9%
별 167
 
5.9%
자 167
 
5.9%
치 167
 
5.9%
Other values (94) 1102
39.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.279026
Minimum33.209842
Maximum33.472926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T17:21:27.299472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.209842
5-th percentile33.223863
Q133.248468
median33.255464
Q333.286667
95-th percentile33.446789
Maximum33.472926
Range0.26308381
Interquartile range (IQR)0.038198855

Descriptive statistics

Standard deviation0.059737542
Coefficient of variation (CV)0.0017950508
Kurtosis3.1521615
Mean33.279026
Median Absolute Deviation (MAD)0.0136737
Skewness1.9761921
Sum5557.5974
Variance0.0035685739
MonotonicityNot monotonic
2024-04-06T17:21:27.710778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.30535568 3
 
1.8%
33.2604811 3
 
1.8%
33.4260456 3
 
1.8%
33.24898965 2
 
1.2%
33.252694 2
 
1.2%
33.30601155 2
 
1.2%
33.30497288 2
 
1.2%
33.23240405 2
 
1.2%
33.24654978 2
 
1.2%
33.2255729 2
 
1.2%
Other values (143) 144
86.2%
ValueCountFrequency (%)
33.20984206 1
0.6%
33.21955134 1
0.6%
33.22141736 1
0.6%
33.22199529 1
0.6%
33.22213529 1
0.6%
33.22222188 1
0.6%
33.22235011 1
0.6%
33.22248095 1
0.6%
33.22376863 1
0.6%
33.22408343 1
0.6%
ValueCountFrequency (%)
33.47292587 1
0.6%
33.46544402 1
0.6%
33.46248499 1
0.6%
33.45345101 1
0.6%
33.45006237 1
0.6%
33.44985816 1
0.6%
33.44800215 1
0.6%
33.44794542 1
0.6%
33.44701755 1
0.6%
33.44625704 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52474
Minimum126.18013
Maximum126.93426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T17:21:28.067214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.18013
5-th percentile126.25289
Q1126.36918
median126.51506
Q3126.61794
95-th percentile126.91513
Maximum126.93426
Range0.7541254
Interquartile range (IQR)0.2487613

Descriptive statistics

Standard deviation0.19991734
Coefficient of variation (CV)0.0015800652
Kurtosis-0.52499349
Mean126.52474
Median Absolute Deviation (MAD)0.1213707
Skewness0.47331545
Sum21129.631
Variance0.039966941
MonotonicityNot monotonic
2024-04-06T17:21:28.353369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.3936846 3
 
1.8%
126.5599348 3
 
1.8%
126.9264403 3
 
1.8%
126.5082202 2
 
1.2%
126.6223235 2
 
1.2%
126.7928925 2
 
1.2%
126.3163537 2
 
1.2%
126.3663103 2
 
1.2%
126.3323131 2
 
1.2%
126.2542534 2
 
1.2%
Other values (143) 144
86.2%
ValueCountFrequency (%)
126.1801297 1
0.6%
126.2176643 1
0.6%
126.2227249 2
1.2%
126.2441941 1
0.6%
126.2479851 1
0.6%
126.2521912 1
0.6%
126.2523729 1
0.6%
126.2523886 1
0.6%
126.2540642 1
0.6%
126.2542534 2
1.2%
ValueCountFrequency (%)
126.9342551 1
 
0.6%
126.9332101 1
 
0.6%
126.9264403 3
1.8%
126.9219718 1
 
0.6%
126.921217 1
 
0.6%
126.9181667 1
 
0.6%
126.9152212 1
 
0.6%
126.9149207 1
 
0.6%
126.9136488 1
 
0.6%
126.9116139 1
 
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-01
167 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-01
2nd row2024-04-01
3rd row2024-04-01
4th row2024-04-01
5th row2024-04-01

Common Values

ValueCountFrequency (%)
2024-04-01 167
100.0%

Length

2024-04-06T17:21:28.775201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:21:28.957801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-01 167
100.0%

Interactions

2024-04-06T17:21:19.969763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:19.611529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:20.183990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:21:19.792649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:21:29.093882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.819
경도0.8191.000
2024-04-06T17:21:29.239947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.554
경도0.5541.000

Missing values

2024-04-06T17:21:20.433503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:21:20.664189image/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

업종명업소명소재지(도로명)소재지(지번)위도경도데이터기준일자
0제과점영업노베케이션(No Vacation)제주특별자치도 서귀포시 표선면 민속해안로 635제주특별자치도 서귀포시 표선면 표선리 40-333.325364126.8377142024-04-01
1제과점영업그랜드파파(Grand papa)제주특별자치도 서귀포시 태평로353번길 14, 1층 (서귀동)제주특별자치도 서귀포시 서귀동 829-533.246848126.5606732024-04-01
2제과점영업위드윗(withwheat)제주특별자치도 서귀포시 중앙로 261 (서홍동)제주특별자치도 서귀포시 서홍동 166-533.26752126.5581772024-04-01
3제과점영업허니제과제주특별자치도 서귀포시 대정읍 서광남로 77, 1층제주특별자치도 서귀포시 대정읍 구억리 365-533.280342126.3017782024-04-01
4제과점영업도트베이글팩토리(DOT BAGEL FACTORY)제주특별자치도 서귀포시 서호호근로96번길 20 (서호동)제주특별자치도 서귀포시 서호동 325-133.255598126.5263622024-04-01
5제과점영업수께로(Suekkero)제주특별자치도 서귀포시 대정읍 하모상가로 34, 3층제주특별자치도 서귀포시 대정읍 하모리 923-533.221417126.2523732024-04-01
6제과점영업마에스트로제주특별자치도 서귀포시 안덕면 화순로 122, 1층제주특별자치도 서귀포시 안덕면 화순리 1089-133.246718126.3334372024-04-01
7제과점영업남원당제주특별자치도 서귀포시 남원읍 남태해안로 259, 다동제주특별자치도 서귀포시 남원읍 태흥리 178933.280113126.7309562024-04-01
8제과점영업소낭베이커리제주특별자치도 서귀포시 대정읍 송악관광로 375제주특별자치도 서귀포시 대정읍 상모리 41833.209842126.2868162024-04-01
9제과점영업우리제과제주특별자치도 서귀포시 대정읍 하모중앙로 46제주특별자치도 서귀포시 대정읍 하모리 1497-433.224083126.2521912024-04-01
업종명업소명소재지(도로명)소재지(지번)위도경도데이터기준일자
157제과점영업신세계제과제주특별자치도 서귀포시 대정읍 하모상가로 51제주특별자치도 서귀포시 대정읍 하모리 849-2133.222135126.2540642024-04-01
158제과점영업온누리제주특별자치도 서귀포시 대정읍 신영로 117-1제주특별자치도 서귀포시 대정읍 하모리 852-433.222481126.2542832024-04-01
159제과점영업빙그레제과점<NA>제주특별자치도 서귀포시 대정읍 하모리 824번지33.221995126.2543672024-04-01
160제과점영업서귀포칼호텔제과점제주특별자치도 서귀포시 칠십리로 242 (토평동)제주특별자치도 서귀포시 토평동 486-333.24432126.580792024-04-01
161제과점영업동명찐빵제주특별자치도 서귀포시 홍중로27번길 25, 1층 (서홍동)제주특별자치도 서귀포시 서홍동 442-5번지33.253199126.5578332024-04-01
162제과점영업정옥빵집제주특별자치도 서귀포시 중앙로48번길 18 (서귀동)제주특별자치도 서귀포시 서귀동 275-1번지33.249162126.563492024-04-01
163제과점영업동문당제과점제주특별자치도 서귀포시 중정로 103 (서귀동)제주특별자치도 서귀포시 서귀동 256-3833.248709126.5672632024-04-01
164제과점영업오뚜기제과점제주특별자치도 서귀포시 남원읍 태위로 129제주특별자치도 서귀포시 남원읍 위미리 285033.275009126.6611842024-04-01
165제과점영업버터리팬트리(BUTTERY PANTRY)제주특별자치도 서귀포시 대정읍 동일하모로 216, 1층제주특별자치도 서귀포시 대정읍 하모리 1560-333.225573126.2542532024-04-01
166제과점영업호도제과제주특별자치도 서귀포시 안덕면 화순로 132, 102호제주특별자치도 서귀포시 안덕면 화순리 1091-433.24655126.3323132024-04-01

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)위도경도데이터기준일자# duplicates
0제과점영업버터리팬트리(BUTTERY PANTRY)제주특별자치도 서귀포시 대정읍 동일하모로 216, 1층제주특별자치도 서귀포시 대정읍 하모리 1560-333.225573126.2542532024-04-012
1제과점영업호도제과제주특별자치도 서귀포시 안덕면 화순로 132, 102호제주특별자치도 서귀포시 안덕면 화순리 1091-433.24655126.3323132024-04-012