Overview

Dataset statistics

Number of variables24
Number of observations5000
Missing cells5364
Missing cells (%)4.5%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory952.3 KiB
Average record size in memory195.0 B

Variable types

Text12
Categorical8
Numeric3
DateTime1

Dataset

Description전라남도 순천시 도시재생 구역에 대한 소상공인 위치와 그에 대한 세부 상세 정보를 제공합니다. ( 결재정보, 운영시간, 키오스크 사용여부, 배달앱 사용 여부 등)
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15111506/fileData.do

Alerts

시도 명칭 has constant value ""Constant
시군구 명칭 has constant value ""Constant
최종 작성일 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
리 명칭 is highly imbalanced (99.0%)Imbalance
키오스크 사용 여부 is highly imbalanced (92.9%)Imbalance
배달앱 사용 여부 is highly imbalanced (79.4%)Imbalance
분점명 has 4308 (86.2%) missing valuesMissing
전화번호 has 1022 (20.4%) missing valuesMissing
우편번호 is highly skewed (γ1 = 35.32291671)Skewed

Reproduction

Analysis started2023-12-13 00:10:23.953770
Analysis finished2023-12-13 00:10:25.333942
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct4546
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
2023-12-13T09:10:25.487798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.4434
Min length1

Characters and Unicode

Total characters27217
Distinct characters919
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4182 ?
Unique (%)83.6%

Sample

1st row69모텔
2nd row007노래방
3rd row1도씨맥주
4th row187에어컨공조
5th row1도씨맥주&치킨
ValueCountFrequency (%)
gs25 22
 
0.4%
cu 17
 
0.3%
세븐일레븐 10
 
0.2%
카페 10
 
0.2%
이디야커피 8
 
0.2%
순천 7
 
0.1%
배스킨라빈스31 6
 
0.1%
이마트24 6
 
0.1%
순천중앙병원 6
 
0.1%
미니스톱 6
 
0.1%
Other values (4546) 5015
98.1%
2023-12-13T09:10:25.804756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 589
 
2.2%
스 561
 
2.1%
리 432
 
1.6%
어 375
 
1.4%
원 360
 
1.3%
사 338
 
1.2%
미 305
 
1.1%
인 283
 
1.0%
장 282
 
1.0%
아 280
 
1.0%
Other values (909) 23412
86.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25693
94.4%
Uppercase Letter 574
 
2.1%
Decimal Number 286
 
1.1%
Space Separator 273
 
1.0%
Lowercase Letter 227
 
0.8%
Other Punctuation 68
 
0.2%
Open Punctuation 44
 
0.2%
Close Punctuation 44
 
0.2%
Dash Punctuation 4
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 589
 
2.3%
스 561
 
2.2%
리 432
 
1.7%
어 375
 
1.5%
원 360
 
1.4%
사 338
 
1.3%
미 305
 
1.2%
인 283
 
1.1%
장 282
 
1.1%
아 280
 
1.1%
Other values (837) 21888
85.2%
Uppercase Letter
ValueCountFrequency (%)
C 72
 
12.5%
S 55
 
9.6%
G 42
 
7.3%
A 36
 
6.3%
O 32
 
5.6%
E 30
 
5.2%
B 30
 
5.2%
L 29
 
5.1%
K 26
 
4.5%
M 23
 
4.0%
Other values (15) 199
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
11.9%
a 24
 
10.6%
o 18
 
7.9%
s 16
 
7.0%
i 15
 
6.6%
c 15
 
6.6%
r 14
 
6.2%
t 13
 
5.7%
f 10
 
4.4%
n 9
 
4.0%
Other values (12) 66
29.1%
Decimal Number
ValueCountFrequency (%)
2 73
25.5%
0 38
13.3%
1 36
12.6%
5 33
11.5%
4 28
 
9.8%
3 26
 
9.1%
9 16
 
5.6%
6 15
 
5.2%
8 11
 
3.8%
7 10
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 34
50.0%
, 13
 
19.1%
. 11
 
16.2%
! 4
 
5.9%
/ 3
 
4.4%
: 1
 
1.5%
# 1
 
1.5%
; 1
 
1.5%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25694
94.4%
Latin 801
 
2.9%
Common 722
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 589
 
2.3%
스 561
 
2.2%
리 432
 
1.7%
어 375
 
1.5%
원 360
 
1.4%
사 338
 
1.3%
미 305
 
1.2%
인 283
 
1.1%
장 282
 
1.1%
아 280
 
1.1%
Other values (838) 21889
85.2%
Latin
ValueCountFrequency (%)
C 72
 
9.0%
S 55
 
6.9%
G 42
 
5.2%
A 36
 
4.5%
O 32
 
4.0%
E 30
 
3.7%
B 30
 
3.7%
L 29
 
3.6%
e 27
 
3.4%
K 26
 
3.2%
Other values (37) 422
52.7%
Common
ValueCountFrequency (%)
273
37.8%
2 73
 
10.1%
( 44
 
6.1%
) 44
 
6.1%
0 38
 
5.3%
1 36
 
5.0%
& 34
 
4.7%
5 33
 
4.6%
4 28
 
3.9%
3 26
 
3.6%
Other values (14) 93
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25693
94.4%
ASCII 1523
 
5.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 589
 
2.3%
스 561
 
2.2%
리 432
 
1.7%
어 375
 
1.5%
원 360
 
1.4%
사 338
 
1.3%
미 305
 
1.2%
인 283
 
1.1%
장 282
 
1.1%
아 280
 
1.1%
Other values (837) 21888
85.2%
ASCII
ValueCountFrequency (%)
273
 
17.9%
2 73
 
4.8%
C 72
 
4.7%
S 55
 
3.6%
( 44
 
2.9%
) 44
 
2.9%
G 42
 
2.8%
0 38
 
2.5%
1 36
 
2.4%
A 36
 
2.4%
Other values (61) 810
53.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

분점명
Text

MISSING 

Distinct232
Distinct (%)33.5%
Missing4308
Missing (%)86.2%
Memory size39.2 KiB
2023-12-13T09:10:25.995543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.5057803
Min length2

Characters and Unicode

Total characters3118
Distinct characters180
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)23.6%

Sample

1st row호반점
2nd row연향점
3rd row헐크세차점
4th row연향점
5th row순천오천점
ValueCountFrequency (%)
순천점 125
 
16.2%
순천 75
 
9.7%
순천연향점 53
 
6.9%
연향점 51
 
6.6%
중앙점 40
 
5.2%
순천중앙점 29
 
3.8%
풍덕점 17
 
2.2%
순천대리점 12
 
1.6%
금당점 12
 
1.6%
장천점 11
 
1.4%
Other values (207) 347
44.9%
2023-12-13T09:10:26.295625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 653
20.9%
천 481
15.4%
순 448
14.4%
연 151
 
4.8%
향 148
 
4.7%
84
 
2.7%
중 83
 
2.7%
앙 83
 
2.7%
리 43
 
1.4%
대 42
 
1.3%
Other values (170) 902
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2989
95.9%
Space Separator 84
 
2.7%
Decimal Number 40
 
1.3%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 653
21.8%
천 481
16.1%
순 448
15.0%
연 151
 
5.1%
향 148
 
5.0%
중 83
 
2.8%
앙 83
 
2.8%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 817
27.3%
Decimal Number
ValueCountFrequency (%)
2 21
52.5%
3 8
 
20.0%
4 6
 
15.0%
1 5
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
D 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2989
95.9%
Common 124
 
4.0%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 653
21.8%
천 481
16.1%
순 448
15.0%
연 151
 
5.1%
향 148
 
5.0%
중 83
 
2.8%
앙 83
 
2.8%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 817
27.3%
Common
ValueCountFrequency (%)
84
67.7%
2 21
 
16.9%
3 8
 
6.5%
4 6
 
4.8%
1 5
 
4.0%
Latin
ValueCountFrequency (%)
T 2
40.0%
D 1
20.0%
S 1
20.0%
s 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2989
95.9%
ASCII 129
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 653
21.8%
천 481
16.1%
순 448
15.0%
연 151
 
5.1%
향 148
 
5.0%
중 83
 
2.8%
앙 83
 
2.8%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 817
27.3%
ASCII
ValueCountFrequency (%)
84
65.1%
2 21
 
16.3%
3 8
 
6.2%
4 6
 
4.7%
1 5
 
3.9%
T 2
 
1.6%
D 1
 
0.8%
S 1
 
0.8%
s 1
 
0.8%

목록
Text

Distinct122
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
2023-12-13T09:10:26.450637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.1352
Min length2

Characters and Unicode

Total characters20676
Distinct characters155
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)1.3%

Sample

1st row숙박업
2nd row다중이용시설
3rd row음식점
4th row공조설비
5th row음식점
ValueCountFrequency (%)
도,소매업 1773
35.3%
음식점 1193
23.7%
미용,서비스업 390
 
7.8%
카페 264
 
5.3%
다중이용시설 154
 
3.1%
숙박업 145
 
2.9%
이,미용업 114
 
2.3%
문화,예술 106
 
2.1%
학원 104
 
2.1%
서비스업 89
 
1.8%
Other values (110) 692
 
13.8%
2023-12-13T09:10:26.704635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2652
12.8%
, 2387
11.5%
소 1778
 
8.6%
매 1778
 
8.6%
도 1774
 
8.6%
음 1245
 
6.0%
식 1211
 
5.9%
점 1209
 
5.8%
용 660
 
3.2%
미 505
 
2.4%
Other values (145) 5477
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18253
88.3%
Other Punctuation 2387
 
11.5%
Space Separator 36
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2652
14.5%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.7%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.8%
비 500
 
2.7%
Other values (143) 4941
27.1%
Other Punctuation
ValueCountFrequency (%)
, 2387
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18253
88.3%
Common 2423
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2652
14.5%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.7%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.8%
비 500
 
2.7%
Other values (143) 4941
27.1%
Common
ValueCountFrequency (%)
, 2387
98.5%
36
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18253
88.3%
ASCII 2423
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2652
14.5%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.7%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.8%
비 500
 
2.7%
Other values (143) 4941
27.1%
ASCII
ValueCountFrequency (%)
, 2387
98.5%
36
 
1.5%

상세목록
Text

Distinct1040
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
2023-12-13T09:10:26.980671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length3.8668
Min length1

Characters and Unicode

Total characters19334
Distinct characters470
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

Unique542 ?
Unique (%)10.8%

Sample

1st row모텔
2nd row노래방
3rd row맥주
4th row에어컨공조
5th row맥주,호프
ValueCountFrequency (%)
한식 275
 
5.3%
미용실 257
 
5.0%
카페 153
 
3.0%
모텔 91
 
1.8%
편의점 88
 
1.7%
카페,디저트 78
 
1.5%
슈퍼,마트 73
 
1.4%
미용 62
 
1.2%
노래방 54
 
1.0%
공방 51
 
1.0%
Other values (1045) 3977
77.1%
2023-12-13T09:10:27.366890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1045
 
5.4%
식 659
 
3.4%
용 490
 
2.5%
한 414
 
2.1%
미 374
 
1.9%
리 350
 
1.8%
트 311
 
1.6%
실 288
 
1.5%
품 270
 
1.4%
기 265
 
1.4%
Other values (460) 14868
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17810
92.1%
Other Punctuation 1049
 
5.4%
Space Separator 160
 
0.8%
Open Punctuation 119
 
0.6%
Close Punctuation 119
 
0.6%
Uppercase Letter 69
 
0.4%
Lowercase Letter 6
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 659
 
3.7%
용 490
 
2.8%
한 414
 
2.3%
미 374
 
2.1%
리 350
 
2.0%
트 311
 
1.7%
실 288
 
1.6%
품 270
 
1.5%
기 265
 
1.5%
정 260
 
1.5%
Other values (439) 14129
79.3%
Uppercase Letter
ValueCountFrequency (%)
S 16
23.2%
A 15
21.7%
P 13
18.8%
C 12
17.4%
G 4
 
5.8%
B 3
 
4.3%
R 3
 
4.3%
K 1
 
1.4%
T 1
 
1.4%
D 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 1045
99.6%
/ 3
 
0.3%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
b 2
33.3%
a 2
33.3%
r 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17810
92.1%
Common 1449
 
7.5%
Latin 75
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 659
 
3.7%
용 490
 
2.8%
한 414
 
2.3%
미 374
 
2.1%
리 350
 
2.0%
트 311
 
1.7%
실 288
 
1.6%
품 270
 
1.5%
기 265
 
1.5%
정 260
 
1.5%
Other values (439) 14129
79.3%
Latin
ValueCountFrequency (%)
S 16
21.3%
A 15
20.0%
P 13
17.3%
C 12
16.0%
G 4
 
5.3%
B 3
 
4.0%
R 3
 
4.0%
b 2
 
2.7%
a 2
 
2.7%
r 2
 
2.7%
Other values (3) 3
 
4.0%
Common
ValueCountFrequency (%)
, 1045
72.1%
160
 
11.0%
( 119
 
8.2%
) 119
 
8.2%
/ 3
 
0.2%
2 1
 
0.1%
3 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17810
92.1%
ASCII 1524
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1045
68.6%
160
 
10.5%
( 119
 
7.8%
) 119
 
7.8%
S 16
 
1.0%
A 15
 
1.0%
P 13
 
0.9%
C 12
 
0.8%
G 4
 
0.3%
/ 3
 
0.2%
Other values (11) 18
 
1.2%
Hangul
ValueCountFrequency (%)
식 659
 
3.7%
용 490
 
2.8%
한 414
 
2.3%
미 374
 
2.1%
리 350
 
2.0%
트 311
 
1.7%
실 288
 
1.6%
품 270
 
1.5%
기 265
 
1.5%
정 260
 
1.5%
Other values (439) 14129
79.3%

시도 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
전라남도
5000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 5000
100.0%

Length

2023-12-13T09:10:27.471227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:27.533299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 5000
100.0%

시군구 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
순천시
5000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순천시 5000
100.0%

Length

2023-12-13T09:10:27.598405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:27.666314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순천시 5000
100.0%

법정읍면동명칭
Categorical

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
연향동
1429 
장천동
805 
풍덕동
543 
조곡동
348 
동외동
319 
Other values (28)
1556 

Length

Max length4
Median length3
Mean length2.9542
Min length2

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st row연향동
2nd row연향동
3rd row연향동
4th row동외동
5th row연향동

Common Values

ValueCountFrequency (%)
연향동 1429
28.6%
장천동 805
16.1%
풍덕동 543
 
10.9%
조곡동 348
 
7.0%
동외동 319
 
6.4%
남내동 249
 
5.0%
덕암동 226
 
4.5%
저전동 223
 
4.5%
중앙동 204
 
4.1%
행동 147
 
2.9%
Other values (23) 507
 
10.1%

Length

2023-12-13T09:10:27.740904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연향동 1429
28.6%
장천동 805
16.1%
풍덕동 543
 
10.9%
조곡동 348
 
7.0%
동외동 320
 
6.4%
남내동 249
 
5.0%
덕암동 226
 
4.5%
저전동 223
 
4.5%
중앙동 204
 
4.1%
행동 147
 
2.9%
Other values (22) 506
 
10.1%

리 명칭
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
<NA>
4990 
신대리
 
5
상삼리
 
3
압곡리
 
1
 
1

Length

Max length20
Median length4
Mean length4.0014
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4990
99.8%
신대리 5
 
0.1%
상삼리 3
 
0.1%
압곡리 1
 
< 0.1%
1
 
< 0.1%

Length

2023-12-13T09:10:27.839622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:27.917121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4990
99.8%
신대리 5
 
0.1%
상삼리 3
 
0.1%
압곡리 1
 
< 0.1%

번지
Text

Distinct2621
Distinct (%)52.4%
Missing1
Missing (%)< 0.1%
Memory size39.2 KiB
2023-12-13T09:10:28.174953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.0168034
Min length4

Characters and Unicode

Total characters40076
Distinct characters14
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

Unique1530 ?
Unique (%)30.6%

Sample

1st row1329-10 번지
2nd row1348-1 번지
3rd row1610-7 번지
4th row7-3 번지
5th row1464-3 번지
ValueCountFrequency (%)
번지 4999
50.0%
1264 59
 
0.6%
168-1 51
 
0.5%
54-1 28
 
0.3%
1333 24
 
0.2%
151 24
 
0.2%
1386 23
 
0.2%
1347 22
 
0.2%
169 22
 
0.2%
119-1 19
 
0.2%
Other values (2612) 4727
47.3%
2023-12-13T09:10:28.561336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5183
12.9%
4999
12.5%
번 4999
12.5%
지 4999
12.5%
- 4328
10.8%
2 2434
6.1%
3 2407
6.0%
5 2042
 
5.1%
6 1898
 
4.7%
4 1791
 
4.5%
Other values (4) 4996
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20751
51.8%
Other Letter 9998
24.9%
Space Separator 4999
 
12.5%
Dash Punctuation 4328
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5183
25.0%
2 2434
11.7%
3 2407
11.6%
5 2042
 
9.8%
6 1898
 
9.1%
4 1791
 
8.6%
8 1625
 
7.8%
7 1384
 
6.7%
9 1042
 
5.0%
0 945
 
4.6%
Other Letter
ValueCountFrequency (%)
번 4999
50.0%
지 4999
50.0%
Space Separator
ValueCountFrequency (%)
4999
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30078
75.1%
Hangul 9998
 
24.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5183
17.2%
4999
16.6%
- 4328
14.4%
2 2434
8.1%
3 2407
8.0%
5 2042
 
6.8%
6 1898
 
6.3%
4 1791
 
6.0%
8 1625
 
5.4%
7 1384
 
4.6%
Other values (2) 1987
 
6.6%
Hangul
ValueCountFrequency (%)
번 4999
50.0%
지 4999
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30078
75.1%
Hangul 9998
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5183
17.2%
4999
16.6%
- 4328
14.4%
2 2434
8.1%
3 2407
8.0%
5 2042
 
6.8%
6 1898
 
6.3%
4 1791
 
6.0%
8 1625
 
5.4%
7 1384
 
4.6%
Other values (2) 1987
 
6.6%
Hangul
ValueCountFrequency (%)
번 4999
50.0%
지 4999
50.0%

도로명 이름
Text

Distinct277
Distinct (%)5.6%
Missing13
Missing (%)0.3%
Memory size39.2 KiB
2023-12-13T09:10:28.829229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8945258
Min length3

Characters and Unicode

Total characters19422
Distinct characters141
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)0.9%

Sample

1st row연향상가5길
2nd row연향3로
3rd row안산길
4th row감사터3길
5th row기적의도서관길
ValueCountFrequency (%)
팔마로 288
 
5.8%
중앙로 245
 
4.9%
이수로 148
 
3.0%
시민로 136
 
2.7%
강남로 133
 
2.7%
장평로 132
 
2.6%
풍덕주택길 102
 
2.0%
장명로 101
 
2.0%
연향번영길 101
 
2.0%
북문길 98
 
2.0%
Other values (266) 3503
70.2%
2023-12-13T09:10:29.216257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 3164
 
16.3%
로 1823
 
9.4%
장 822
 
4.2%
연 702
 
3.6%
향 633
 
3.3%
중 630
 
3.2%
앙 610
 
3.1%
1 539
 
2.8%
2 463
 
2.4%
마 426
 
2.2%
Other values (131) 9610
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17700
91.1%
Decimal Number 1720
 
8.9%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 3164
 
17.9%
로 1823
 
10.3%
장 822
 
4.6%
연 702
 
4.0%
향 633
 
3.6%
중 630
 
3.6%
앙 610
 
3.4%
마 426
 
2.4%
팔 411
 
2.3%
남 340
 
1.9%
Other values (122) 8139
46.0%
Decimal Number
ValueCountFrequency (%)
1 539
31.3%
2 463
26.9%
3 322
18.7%
4 142
 
8.3%
5 86
 
5.0%
6 84
 
4.9%
7 47
 
2.7%
8 37
 
2.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17700
91.1%
Common 1722
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 3164
 
17.9%
로 1823
 
10.3%
장 822
 
4.6%
연 702
 
4.0%
향 633
 
3.6%
중 630
 
3.6%
앙 610
 
3.4%
마 426
 
2.4%
팔 411
 
2.3%
남 340
 
1.9%
Other values (122) 8139
46.0%
Common
ValueCountFrequency (%)
1 539
31.3%
2 463
26.9%
3 322
18.7%
4 142
 
8.2%
5 86
 
5.0%
6 84
 
4.9%
7 47
 
2.7%
8 37
 
2.1%
2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17700
91.1%
ASCII 1722
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 3164
 
17.9%
로 1823
 
10.3%
장 822
 
4.6%
연 702
 
4.0%
향 633
 
3.6%
중 630
 
3.6%
앙 610
 
3.4%
마 426
 
2.4%
팔 411
 
2.3%
남 340
 
1.9%
Other values (122) 8139
46.0%
ASCII
ValueCountFrequency (%)
1 539
31.3%
2 463
26.9%
3 322
18.7%
4 142
 
8.2%
5 86
 
5.0%
6 84
 
4.9%
7 47
 
2.7%
8 37
 
2.1%
2
 
0.1%

건물 번호
Text

Distinct576
Distinct (%)11.6%
Missing13
Missing (%)0.3%
Memory size39.2 KiB
2023-12-13T09:10:29.505071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2500501
Min length3

Characters and Unicode

Total characters21195
Distinct characters13
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

Unique250 ?
Unique (%)5.0%

Sample

1st row3 번
2nd row2 번
3rd row18 번
4th row51 번
5th row36 번
ValueCountFrequency (%)
번 4987
50.0%
40 106
 
1.1%
5 105
 
1.1%
10 104
 
1.0%
15 97
 
1.0%
4 97
 
1.0%
9 94
 
0.9%
3 91
 
0.9%
18 90
 
0.9%
12 86
 
0.9%
Other values (567) 4117
41.3%
2023-12-13T09:10:29.881998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4987
23.5%
번 4987
23.5%
1 2522
11.9%
2 1420
 
6.7%
3 1115
 
5.3%
4 1030
 
4.9%
5 976
 
4.6%
0 808
 
3.8%
6 805
 
3.8%
- 667
 
3.1%
Other values (3) 1878
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10554
49.8%
Space Separator 4987
23.5%
Other Letter 4987
23.5%
Dash Punctuation 667
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2522
23.9%
2 1420
13.5%
3 1115
10.6%
4 1030
9.8%
5 976
 
9.2%
0 808
 
7.7%
6 805
 
7.6%
7 649
 
6.1%
8 623
 
5.9%
9 606
 
5.7%
Space Separator
ValueCountFrequency (%)
4987
100.0%
Other Letter
ValueCountFrequency (%)
번 4987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 667
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16208
76.5%
Hangul 4987
 
23.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4987
30.8%
1 2522
15.6%
2 1420
 
8.8%
3 1115
 
6.9%
4 1030
 
6.4%
5 976
 
6.0%
0 808
 
5.0%
6 805
 
5.0%
- 667
 
4.1%
7 649
 
4.0%
Other values (2) 1229
 
7.6%
Hangul
ValueCountFrequency (%)
번 4987
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16208
76.5%
Hangul 4987
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4987
30.8%
1 2522
15.6%
2 1420
 
8.8%
3 1115
 
6.9%
4 1030
 
6.4%
5 976
 
6.0%
0 808
 
5.0%
6 805
 
5.0%
- 667
 
4.1%
7 649
 
4.0%
Other values (2) 1229
 
7.6%
Hangul
ValueCountFrequency (%)
번 4987
100.0%

위도
Real number (ℝ)

Distinct2710
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.948355
Minimum34.793648
Maximum34.992926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.1 KiB
2023-12-13T09:10:29.998469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.793648
5-th percentile34.93949
Q134.944723
median34.948257
Q334.952456
95-th percentile34.957336
Maximum34.992926
Range0.1992779
Interquartile range (IQR)0.0077329

Descriptive statistics

Standard deviation0.0065009328
Coefficient of variation (CV)0.00018601542
Kurtosis66.238463
Mean34.948355
Median Absolute Deviation (MAD)0.00391885
Skewness-2.8206587
Sum174741.78
Variance4.2262127 × 10-5
MonotonicityNot monotonic
2023-12-13T09:10:30.112172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.9450368 60
 
1.2%
34.9588493 51
 
1.0%
34.9336899 25
 
0.5%
34.9515951 24
 
0.5%
34.9412428 23
 
0.5%
34.950132 23
 
0.5%
34.9439505 23
 
0.5%
34.9420661 22
 
0.4%
34.942448 22
 
0.4%
34.9547761 22
 
0.4%
Other values (2700) 4705
94.1%
ValueCountFrequency (%)
34.7936478 1
 
< 0.1%
34.8953749 1
 
< 0.1%
34.9089031 1
 
< 0.1%
34.9138101 1
 
< 0.1%
34.9151677 1
 
< 0.1%
34.9244483 1
 
< 0.1%
34.9260192 3
0.1%
34.926774 4
0.1%
34.928589 1
 
< 0.1%
34.9289309 3
0.1%
ValueCountFrequency (%)
34.9929257 1
< 0.1%
34.9872361 1
< 0.1%
34.9866441 1
< 0.1%
34.9842515 1
< 0.1%
34.9752192 2
< 0.1%
34.9734344 1
< 0.1%
34.9724767 1
< 0.1%
34.9720702 1
< 0.1%
34.9718204 1
< 0.1%
34.9713767 1
< 0.1%

경도
Real number (ℝ)

Distinct2725
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5
Minimum127.4381
Maximum127.75493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.1 KiB
2023-12-13T09:10:30.251369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.4381
5-th percentile127.48212
Q1127.486
median127.49541
Q3127.51567
95-th percentile127.52572
Maximum127.75493
Range0.3168284
Interquartile range (IQR)0.0296675

Descriptive statistics

Standard deviation0.015767959
Coefficient of variation (CV)0.00012367027
Kurtosis12.610507
Mean127.5
Median Absolute Deviation (MAD)0.0105974
Skewness1.2161415
Sum637500
Variance0.00024862853
MonotonicityNot monotonic
2023-12-13T09:10:30.569088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4954114 59
 
1.2%
127.4851874 51
 
1.0%
127.5171319 25
 
0.5%
127.5027469 25
 
0.5%
127.5213011 24
 
0.5%
127.5212481 23
 
0.5%
127.510912 23
 
0.5%
127.4842362 22
 
0.4%
127.5187936 22
 
0.4%
127.508434 22
 
0.4%
Other values (2715) 4704
94.1%
ValueCountFrequency (%)
127.438105 2
< 0.1%
127.4418435 1
< 0.1%
127.4419721 1
< 0.1%
127.4430094 1
< 0.1%
127.4452011 1
< 0.1%
127.4579374 1
< 0.1%
127.4634117 1
< 0.1%
127.4750478 1
< 0.1%
127.4759569 1
< 0.1%
127.4759907 1
< 0.1%
ValueCountFrequency (%)
127.7549334 1
 
< 0.1%
127.559242 1
 
< 0.1%
127.55587 4
0.1%
127.5523974 3
0.1%
127.5376194 1
 
< 0.1%
127.5345548 1
 
< 0.1%
127.534497 1
 
< 0.1%
127.5331224 1
 
< 0.1%
127.532975 1
 
< 0.1%
127.531673 1
 
< 0.1%

우편번호
Real number (ℝ)

SKEWED 

Distinct76
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58348.769
Minimum54962
Maximum540945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.1 KiB
2023-12-13T09:10:30.675904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54962
5-th percentile57941
Q157955
median57960
Q357978
95-th percentile58002
Maximum540945
Range485983
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13639.072
Coefficient of variation (CV)0.23375081
Kurtosis1246.2222
Mean58348.769
Median Absolute Deviation (MAD)13
Skewness35.322917
Sum2.9174384 × 108
Variance1.8602428 × 108
MonotonicityNot monotonic
2023-12-13T09:10:30.786352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57956 580
 
11.6%
57942 569
 
11.4%
57941 324
 
6.5%
57967 243
 
4.9%
57963 231
 
4.6%
57957 221
 
4.4%
57959 212
 
4.2%
57960 198
 
4.0%
57939 189
 
3.8%
57964 186
 
3.7%
Other values (66) 2047
40.9%
ValueCountFrequency (%)
54962 1
 
< 0.1%
57921 8
 
0.2%
57924 2
 
< 0.1%
57931 1
 
< 0.1%
57932 3
 
0.1%
57933 1
 
< 0.1%
57936 2
 
< 0.1%
57938 2
 
< 0.1%
57939 189
3.8%
57940 2
 
< 0.1%
ValueCountFrequency (%)
540945 1
< 0.1%
540220 1
< 0.1%
540080 1
< 0.1%
540030 1
< 0.1%
58028 2
< 0.1%
58026 1
< 0.1%
58016 2
< 0.1%
58012 2
< 0.1%
58011 2
< 0.1%
58005 2
< 0.1%

도로명주소
Text

Distinct3080
Distinct (%)61.7%
Missing6
Missing (%)0.1%
Memory size39.2 KiB
2023-12-13T09:10:31.026779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length16.746696
Min length13

Characters and Unicode

Total characters83633
Distinct characters436
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

Unique2117 ?
Unique (%)42.4%

Sample

1st row전라남도 순천시 연향상가5길 3
2nd row전라남도 순천시 연향3로 2
3rd row전라남도 순천시 안산길 18
4th row전라남도 순천시 감사터3길 51
5th row전라남도 순천시 기적의도서관길 36
ValueCountFrequency (%)
전라남도 4993
24.3%
순천시 4993
24.3%
팔마로 287
 
1.4%
중앙로 245
 
1.2%
이수로 149
 
0.7%
시민로 136
 
0.7%
강남로 132
 
0.6%
장평로 132
 
0.6%
40 106
 
0.5%
10 104
 
0.5%
Other values (1281) 9297
45.2%
2023-12-13T09:10:31.360492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15603
18.7%
남 5346
 
6.4%
전 5264
 
6.3%
천 5263
 
6.3%
시 5251
 
6.3%
도 5148
 
6.2%
순 5035
 
6.0%
라 5003
 
6.0%
1 3212
 
3.8%
길 3168
 
3.8%
Other values (426) 25340
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54659
65.4%
Space Separator 15603
 
18.7%
Decimal Number 12565
 
15.0%
Dash Punctuation 708
 
0.8%
Uppercase Letter 36
 
< 0.1%
Lowercase Letter 21
 
< 0.1%
Close Punctuation 15
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 5346
9.8%
전 5264
9.6%
천 5263
9.6%
시 5251
9.6%
도 5148
9.4%
순 5035
9.2%
라 5003
9.2%
길 3168
 
5.8%
로 1837
 
3.4%
장 843
 
1.5%
Other values (382) 12501
22.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
16.7%
S 6
16.7%
N 5
13.9%
C 4
11.1%
K 3
8.3%
E 2
 
5.6%
G 2
 
5.6%
R 2
 
5.6%
V 1
 
2.8%
L 1
 
2.8%
Other values (4) 4
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
19.0%
o 3
14.3%
n 2
9.5%
s 2
9.5%
a 2
9.5%
l 1
 
4.8%
x 1
 
4.8%
p 1
 
4.8%
e 1
 
4.8%
h 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 3212
25.6%
2 1945
15.5%
3 1454
11.6%
4 1184
 
9.4%
5 1073
 
8.5%
6 895
 
7.1%
0 827
 
6.6%
7 700
 
5.6%
8 666
 
5.3%
9 609
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 5
41.7%
. 5
41.7%
& 2
 
16.7%
Space Separator
ValueCountFrequency (%)
15603
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 708
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54659
65.4%
Common 28917
34.6%
Latin 57
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 5346
9.8%
전 5264
9.6%
천 5263
9.6%
시 5251
9.6%
도 5148
9.4%
순 5035
9.2%
라 5003
9.2%
길 3168
 
5.8%
로 1837
 
3.4%
장 843
 
1.5%
Other values (382) 12501
22.9%
Latin
ValueCountFrequency (%)
A 6
 
10.5%
S 6
 
10.5%
N 5
 
8.8%
C 4
 
7.0%
c 4
 
7.0%
K 3
 
5.3%
o 3
 
5.3%
n 2
 
3.5%
E 2
 
3.5%
s 2
 
3.5%
Other values (17) 20
35.1%
Common
ValueCountFrequency (%)
15603
54.0%
1 3212
 
11.1%
2 1945
 
6.7%
3 1454
 
5.0%
4 1184
 
4.1%
5 1073
 
3.7%
6 895
 
3.1%
0 827
 
2.9%
- 708
 
2.4%
7 700
 
2.4%
Other values (7) 1316
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54659
65.4%
ASCII 28974
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15603
53.9%
1 3212
 
11.1%
2 1945
 
6.7%
3 1454
 
5.0%
4 1184
 
4.1%
5 1073
 
3.7%
6 895
 
3.1%
0 827
 
2.9%
- 708
 
2.4%
7 700
 
2.4%
Other values (34) 1373
 
4.7%
Hangul
ValueCountFrequency (%)
남 5346
9.8%
전 5264
9.6%
천 5263
9.6%
시 5251
9.6%
도 5148
9.4%
순 5035
9.2%
라 5003
9.2%
길 3168
 
5.8%
로 1837
 
3.4%
장 843
 
1.5%
Other values (382) 12501
22.9%

지번주소
Text

Distinct2870
Distinct (%)57.4%
Missing1
Missing (%)< 0.1%
Memory size39.2 KiB
2023-12-13T09:10:31.653984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length18.0004
Min length12

Characters and Unicode

Total characters89984
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1826 ?
Unique (%)36.5%

Sample

1st row전라남도 순천시 연향동 1329-10
2nd row전라남도 순천시 연향동 1348-1
3rd row전라남도 순천시 연향동 1610-7
4th row전라남도 순천시 동외동 7-3
5th row전라남도 순천시 연향동 1464-3
ValueCountFrequency (%)
전라남도 4998
25.0%
순천시 4991
25.0%
연향동 1428
 
7.1%
장천동 804
 
4.0%
풍덕동 545
 
2.7%
조곡동 343
 
1.7%
동외동 319
 
1.6%
남내동 249
 
1.2%
덕암동 227
 
1.1%
저전동 223
 
1.1%
Other values (2696) 5877
29.4%
2023-12-13T09:10:32.068719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15071
16.7%
천 5856
 
6.5%
남 5377
 
6.0%
동 5307
 
5.9%
전 5222
 
5.8%
1 5206
 
5.8%
도 5000
 
5.6%
순 5000
 
5.6%
시 4999
 
5.6%
라 4999
 
5.6%
Other values (69) 27947
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49792
55.3%
Decimal Number 20788
23.1%
Space Separator 15071
 
16.7%
Dash Punctuation 4330
 
4.8%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 5856
11.8%
남 5377
10.8%
동 5307
10.7%
전 5222
10.5%
도 5000
10.0%
순 5000
10.0%
시 4999
10.0%
라 4999
10.0%
향 1428
 
2.9%
연 1428
 
2.9%
Other values (55) 5176
10.4%
Decimal Number
ValueCountFrequency (%)
1 5206
25.0%
2 2472
11.9%
3 2401
11.5%
5 2036
 
9.8%
6 1893
 
9.1%
4 1785
 
8.6%
8 1619
 
7.8%
7 1389
 
6.7%
9 1039
 
5.0%
0 948
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
N 1
33.3%
Space Separator
ValueCountFrequency (%)
15071
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49792
55.3%
Common 40189
44.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 5856
11.8%
남 5377
10.8%
동 5307
10.7%
전 5222
10.5%
도 5000
10.0%
순 5000
10.0%
시 4999
10.0%
라 4999
10.0%
향 1428
 
2.9%
연 1428
 
2.9%
Other values (55) 5176
10.4%
Common
ValueCountFrequency (%)
15071
37.5%
1 5206
 
13.0%
- 4330
 
10.8%
2 2472
 
6.2%
3 2401
 
6.0%
5 2036
 
5.1%
6 1893
 
4.7%
4 1785
 
4.4%
8 1619
 
4.0%
7 1389
 
3.5%
Other values (2) 1987
 
4.9%
Latin
ValueCountFrequency (%)
C 2
66.7%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49792
55.3%
ASCII 40192
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15071
37.5%
1 5206
 
13.0%
- 4330
 
10.8%
2 2472
 
6.2%
3 2401
 
6.0%
5 2036
 
5.1%
6 1893
 
4.7%
4 1785
 
4.4%
8 1619
 
4.0%
7 1389
 
3.5%
Other values (4) 1990
 
5.0%
Hangul
ValueCountFrequency (%)
천 5856
11.8%
남 5377
10.8%
동 5307
10.7%
전 5222
10.5%
도 5000
10.0%
순 5000
10.0%
시 4999
10.0%
라 4999
10.0%
향 1428
 
2.9%
연 1428
 
2.9%
Other values (55) 5176
10.4%

전화번호
Text

MISSING 

Distinct3418
Distinct (%)85.9%
Missing1022
Missing (%)20.4%
Memory size39.2 KiB
2023-12-13T09:10:32.262191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.339115
Min length2

Characters and Unicode

Total characters49085
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2924 ?
Unique (%)73.5%

Sample

1st row061-723-1911
2nd row061-725-7780
3rd row061-742-0488
4th row061-724-5800
5th row061-752-4666
ValueCountFrequency (%)
확인불가 7
 
0.2%
1577-9621 6
 
0.2%
061-753-0175 4
 
0.1%
061-753-5323 4
 
0.1%
061-752-2522 4
 
0.1%
061-908-2112 4
 
0.1%
061-743-5557 4
 
0.1%
061-746-0208 3
 
0.1%
061-724-6568 3
 
0.1%
0507-1391-5860 3
 
0.1%
Other values (3405) 3934
98.9%
2023-12-13T09:10:32.569922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7921
16.1%
0 7134
14.5%
1 6287
12.8%
7 5612
11.4%
6 4794
9.8%
4 3806
7.8%
5 3690
7.5%
2 3419
7.0%
3 2801
 
5.7%
8 1845
 
3.8%
Other values (7) 1776
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41121
83.8%
Dash Punctuation 7921
 
16.1%
Other Letter 28
 
0.1%
Space Separator 12
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7134
17.3%
1 6287
15.3%
7 5612
13.6%
6 4794
11.7%
4 3806
9.3%
5 3690
9.0%
2 3419
8.3%
3 2801
 
6.8%
8 1845
 
4.5%
9 1733
 
4.2%
Other Letter
ValueCountFrequency (%)
확 7
25.0%
인 7
25.0%
가 7
25.0%
불 7
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 7921
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49057
99.9%
Hangul 28
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7921
16.1%
0 7134
14.5%
1 6287
12.8%
7 5612
11.4%
6 4794
9.8%
4 3806
7.8%
5 3690
7.5%
2 3419
7.0%
3 2801
 
5.7%
8 1845
 
3.8%
Other values (3) 1748
 
3.6%
Hangul
ValueCountFrequency (%)
확 7
25.0%
인 7
25.0%
가 7
25.0%
불 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49057
99.9%
Hangul 28
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7921
16.1%
0 7134
14.5%
1 6287
12.8%
7 5612
11.4%
6 4794
9.8%
4 3806
7.8%
5 3690
7.5%
2 3419
7.0%
3 2801
 
5.7%
8 1845
 
3.8%
Other values (3) 1748
 
3.6%
Hangul
ValueCountFrequency (%)
확 7
25.0%
인 7
25.0%
가 7
25.0%
불 7
25.0%

운영시간
Text

Distinct677
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
2023-12-13T09:10:32.810418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length57
Mean length8.493
Min length2

Characters and Unicode

Total characters42465
Distinct characters80
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique456 ?
Unique (%)9.1%

Sample

1st row00:00-24:00
2nd row확인불가
3rd row확인불가
4th row10:00-22:00
5th row16:00-02:00
ValueCountFrequency (%)
확인불가 2435
40.2%
364
 
6.0%
10:00-20:00 171
 
2.8%
00:00-24:00 144
 
2.4%
09:00-18:00 136
 
2.2%
10:00 80
 
1.3%
10:00-22:00 73
 
1.2%
09:00 72
 
1.2%
10:00-21:00 71
 
1.2%
11:00-21:00 71
 
1.2%
Other values (651) 2435
40.2%
2023-12-13T09:10:33.165229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12854
30.3%
: 5581
13.1%
1 3443
 
8.1%
- 2761
 
6.5%
확 2435
 
5.7%
인 2435
 
5.7%
불 2435
 
5.7%
가 2435
 
5.7%
2 2228
 
5.2%
3 1095
 
2.6%
Other values (70) 4763
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22016
51.8%
Other Letter 10668
25.1%
Other Punctuation 5796
 
13.6%
Dash Punctuation 2761
 
6.5%
Space Separator 1063
 
2.5%
Open Punctuation 58
 
0.1%
Close Punctuation 58
 
0.1%
Math Symbol 44
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
확 2435
22.8%
인 2435
22.8%
불 2435
22.8%
가 2435
22.8%
일 143
 
1.3%
토 127
 
1.2%
실 106
 
1.0%
월 56
 
0.5%
입 53
 
0.5%
퇴 53
 
0.5%
Other values (50) 390
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 12854
58.4%
1 3443
 
15.6%
2 2228
 
10.1%
3 1095
 
5.0%
9 1045
 
4.7%
8 618
 
2.8%
4 272
 
1.2%
7 212
 
1.0%
6 129
 
0.6%
5 120
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 5581
96.3%
, 119
 
2.1%
/ 73
 
1.3%
; 23
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 2761
100.0%
Space Separator
ValueCountFrequency (%)
1063
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31797
74.9%
Hangul 10668
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
확 2435
22.8%
인 2435
22.8%
불 2435
22.8%
가 2435
22.8%
일 143
 
1.3%
토 127
 
1.2%
실 106
 
1.0%
월 56
 
0.5%
입 53
 
0.5%
퇴 53
 
0.5%
Other values (50) 390
 
3.7%
Common
ValueCountFrequency (%)
0 12854
40.4%
: 5581
17.6%
1 3443
 
10.8%
- 2761
 
8.7%
2 2228
 
7.0%
3 1095
 
3.4%
1063
 
3.3%
9 1045
 
3.3%
8 618
 
1.9%
4 272
 
0.9%
Other values (10) 837
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31797
74.9%
Hangul 10668
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12854
40.4%
: 5581
17.6%
1 3443
 
10.8%
- 2761
 
8.7%
2 2228
 
7.0%
3 1095
 
3.4%
1063
 
3.3%
9 1045
 
3.3%
8 618
 
1.9%
4 272
 
0.9%
Other values (10) 837
 
2.6%
Hangul
ValueCountFrequency (%)
확 2435
22.8%
인 2435
22.8%
불 2435
22.8%
가 2435
22.8%
일 143
 
1.3%
토 127
 
1.2%
실 106
 
1.0%
월 56
 
0.5%
입 53
 
0.5%
퇴 53
 
0.5%
Other values (50) 390
 
3.7%

휴무일
Text

Distinct144
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
2023-12-13T09:10:33.311577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length4
Mean length4.7332
Min length1

Characters and Unicode

Total characters23666
Distinct characters85
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

Unique100 ?
Unique (%)2.0%

Sample

1st row연중무휴
2nd row확인불가
3rd row확인불가
4th row확인불가
5th row확인불가
ValueCountFrequency (%)
확인불가 3246
50.7%
매주 1124
 
17.6%
일요일 779
 
12.2%
연중무휴 469
 
7.3%
월요일 117
 
1.8%
화요일 95
 
1.5%
토,일요일 81
 
1.3%
수요일 61
 
1.0%
매달 55
 
0.9%
토 43
 
0.7%
Other values (111) 327
 
5.1%
2023-12-13T09:10:33.560439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3249
13.7%
가 3246
13.7%
확 3246
13.7%
불 3246
13.7%
일 2240
9.5%
1401
5.9%
요 1293
 
5.5%
매 1202
 
5.1%
주 1178
 
5.0%
휴 514
 
2.2%
Other values (75) 2851
12.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21783
92.0%
Space Separator 1401
 
5.9%
Other Punctuation 310
 
1.3%
Decimal Number 159
 
0.7%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3249
14.9%
가 3246
14.9%
확 3246
14.9%
불 3246
14.9%
일 2240
10.3%
요 1293
 
5.9%
매 1202
 
5.5%
주 1178
 
5.4%
휴 514
 
2.4%
무 494
 
2.3%
Other values (63) 1875
8.6%
Decimal Number
ValueCountFrequency (%)
1 51
32.1%
3 50
31.4%
2 28
17.6%
4 24
15.1%
0 4
 
2.5%
5 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 305
98.4%
/ 5
 
1.6%
Space Separator
ValueCountFrequency (%)
1401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21783
92.0%
Common 1883
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3249
14.9%
가 3246
14.9%
확 3246
14.9%
불 3246
14.9%
일 2240
10.3%
요 1293
 
5.9%
매 1202
 
5.5%
주 1178
 
5.4%
휴 514
 
2.4%
무 494
 
2.3%
Other values (63) 1875
8.6%
Common
ValueCountFrequency (%)
1401
74.4%
, 305
 
16.2%
1 51
 
2.7%
3 50
 
2.7%
2 28
 
1.5%
4 24
 
1.3%
) 6
 
0.3%
( 6
 
0.3%
/ 5
 
0.3%
0 4
 
0.2%
Other values (2) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21783
92.0%
ASCII 1883
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3249
14.9%
가 3246
14.9%
확 3246
14.9%
불 3246
14.9%
일 2240
10.3%
요 1293
 
5.9%
매 1202
 
5.5%
주 1178
 
5.4%
휴 514
 
2.4%
무 494
 
2.3%
Other values (63) 1875
8.6%
ASCII
ValueCountFrequency (%)
1401
74.4%
, 305
 
16.2%
1 51
 
2.7%
3 50
 
2.7%
2 28
 
1.5%
4 24
 
1.3%
) 6
 
0.3%
( 6
 
0.3%
/ 5
 
0.3%
0 4
 
0.2%
Other values (2) 3
 
0.2%

지역화폐 사용 가능 여부
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
화폐사용 불가
4092 
화폐사용 가능
732 
알수없음
 
176

Length

Max length7
Median length7
Mean length6.8944
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화폐사용 불가
2nd row화폐사용 불가
3rd row화폐사용 불가
4th row화폐사용 불가
5th row화폐사용 불가

Common Values

ValueCountFrequency (%)
화폐사용 불가 4092
81.8%
화폐사용 가능 732
 
14.6%
알수없음 176
 
3.5%

Length

2023-12-13T09:10:33.669820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:33.743537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화폐사용 4824
49.1%
불가 4092
41.7%
가능 732
 
7.5%
알수없음 176
 
1.8%

제로페이 사용여부
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
제로페이 사용불가
3163 
제로페이 사용가능
1694 
알수없음
 
143

Length

Max length9
Median length9
Mean length8.857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제로페이 사용불가
2nd row제로페이 사용불가
3rd row제로페이 사용불가
4th row제로페이 사용불가
5th row제로페이 사용불가

Common Values

ValueCountFrequency (%)
제로페이 사용불가 3163
63.3%
제로페이 사용가능 1694
33.9%
알수없음 143
 
2.9%

Length

2023-12-13T09:10:33.818742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:33.889144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제로페이 4857
49.3%
사용불가 3163
32.1%
사용가능 1694
 
17.2%
알수없음 143
 
1.5%

키오스크 사용 여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
키오스크 사용불가
4935 
키오스크 사용가능
 
35
알수없음
 
30

Length

Max length9
Median length9
Mean length8.97
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row키오스크 사용불가
2nd row키오스크 사용불가
3rd row키오스크 사용불가
4th row키오스크 사용불가
5th row키오스크 사용불가

Common Values

ValueCountFrequency (%)
키오스크 사용불가 4935
98.7%
키오스크 사용가능 35
 
0.7%
알수없음 30
 
0.6%

Length

2023-12-13T09:10:33.969223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:34.039331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
키오스크 4970
49.8%
사용불가 4935
49.5%
사용가능 35
 
0.4%
알수없음 30
 
0.3%

배달앱 사용 여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
배달앱 사용불가
4733 
배달앱 사용가능
 
238
알수없음
 
29

Length

Max length8
Median length8
Mean length7.9768
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배달앱 사용불가
2nd row배달앱 사용불가
3rd row배달앱 사용불가
4th row배달앱 사용불가
5th row배달앱 사용불가

Common Values

ValueCountFrequency (%)
배달앱 사용불가 4733
94.7%
배달앱 사용가능 238
 
4.8%
알수없음 29
 
0.6%

Length

2023-12-13T09:10:34.121925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:10:34.197576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배달앱 4971
49.9%
사용불가 4733
47.5%
사용가능 238
 
2.4%
알수없음 29
 
0.3%

최종 작성일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
Minimum2022-11-21 00:00:00
Maximum2022-11-21 00:00:00
2023-12-13T09:10:34.256966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:10:34.322600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일지역화폐 사용 가능 여부제로페이 사용여부키오스크 사용 여부배달앱 사용 여부최종 작성일
069모텔<NA>숙박업모텔전라남도순천시연향동<NA>1329-10 번지연향상가5길3 번34.953302127.52079157967전라남도 순천시 연향상가5길 3전라남도 순천시 연향동 1329-10061-723-191100:00-24:00연중무휴화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
1007노래방<NA>다중이용시설노래방전라남도순천시연향동<NA>1348-1 번지연향3로2 번34.950276127.51631757978전라남도 순천시 연향3로 2전라남도 순천시 연향동 1348-1061-725-7780확인불가확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
21도씨맥주호반점음식점맥주전라남도순천시연향동<NA>1610-7 번지안산길18 번34.93949127.52701858003전라남도 순천시 안산길 18전라남도 순천시 연향동 1610-7061-742-0488확인불가확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
3187에어컨공조<NA>공조설비에어컨공조전라남도순천시동외동<NA>7-3 번지감사터3길51 번34.958628127.48842457939전라남도 순천시 감사터3길 51전라남도 순천시 동외동 7-3<NA>10:00-22:00확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
41도씨맥주&치킨연향점음식점맥주,호프전라남도순천시연향동<NA>1464-3 번지기적의도서관길36 번34.947905127.5260557986전라남도 순천시 기적의도서관길 36전라남도 순천시 연향동 1464-3061-724-580016:00-02:00확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
5일억조<NA>음식점한정식전라남도순천시금곡동<NA>181-3 번지공마당길25 번34.954459127.47850657941전라남도 순천시 공마당길 25전라남도 순천시 금곡동 181-3061-752-466611:00-21:00일요일화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-21
62000노래연습장<NA>다중이용시설노래연습장전라남도순천시연향동<NA>1479-6 번지기적의도서관길12 번34.947868127.5237557986전라남도 순천시 기적의도서관길 12전라남도 순천시 연향동 1479-6061-725-1422확인불가확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
721세기유통<NA>유통유통전라남도순천시영동<NA>55 번지옥천길58 번34.953492127.48159557941전라남도 순천시 옥천길 58전라남도 순천시 영동 55061-752-3393확인불가확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
824게스트하우스<NA>숙박업게스트하우스전라남도순천시조곡동<NA>157-15 번지역전광장3길44 번34.945491127.49973457962전라남도 순천시 역전광장3길 44전라남도 순천시 조곡동 157-15061-746-2700입실 15:00,퇴실 11:00확인불가화폐사용 가능제로페이 사용가능키오스크 사용가능배달앱 사용불가2022-11-21
924번수산<NA>음식점수산물전라남도순천시풍덕동<NA>865-24 번지풍덕주택길35 번34.943223127.50293957963전라남도 순천시 풍덕주택길 35전라남도 순천시 풍덕동 865-24061-745-9409확인불가확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-21
시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일지역화폐 사용 가능 여부제로페이 사용여부키오스크 사용 여부배달앱 사용 여부최종 작성일
4990트래블러카페<NA>카페카페전라남도순천시장천동<NA>58-2 번지장명로6 번34.950906127.48451657956전라남도 순천시 장명로 6 트래블러카페전라남도 순천시 장천동 58-20507-1341-305208:30-19:00확인불가화폐사용 가능제로페이 사용불가키오스크 사용불가배달앱 사용가능2022-11-21
4991설이목장<NA>카페카페,디저트전라남도순천시장천동<NA>17-12 번지장천5길27 번34.948015127.49221657960전라남도 순천시 장천5길 27 1층 1호 설이목장전라남도 순천시 장천동 17-120507-1368-831811:30-18:30매주 월,일요일화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용가능2022-11-21
4992리포트커피<NA>카페카페,디저트전라남도순천시장천동<NA>243-1 번지남문천변길20 번34.952686127.48507757956전라남도 순천시 남문천변길 20전라남도 순천시 장천동 243-10507-1476-1586월-금11:00-18:00/토12:00-18:00매주 일요일화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
4993커피점빵코람데오<NA>카페카페,디저트전라남도순천시장천동<NA>188-3 번지시민로19 번34.951477127.48594157956전라남도 순천시 시민로 19전라남도 순천시 장천동 188-3070-4142-510310:00-23:00매주 일요일화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
4994오늘은커피<NA>카페카페전라남도순천시장천동<NA>63-1 번지중앙3길10 번34.949999127.48628757956전라남도 순천시 중앙3길 10 2층 오늘은 커피전라남도 순천시 장천동 63-1확인불가10:00-20:00확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-21
4995파리바게트순천 중앙시장점카페베이커리전라남도순천시장천동<NA>260-1 번지중앙로80-1 번34.952763127.48414657956전라남도 순천시 중앙로 80-1전라남도 순천시 장천동 260-1061-743-829207:00-22:00확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용가능2022-11-21
4996커피베이순천 시청점카페카페전라남도순천시장천동<NA>51-4 번지장명로27-1 번34.951188127.48708257956전라남도 순천시 장명로 27-1전라남도 순천시 장천동 51-4061-741-056409:00-23:00확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-21
4997제이더블유랩(JWLAB)<NA>카페카페,디저트전라남도순천시장천동<NA>36-13 번지장천2길22 번34.949398127.4893657956전라남도 순천시 장천2길 22전라남도 순천시 장천동 36-13확인불가11:00-19:00확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21
4998마당<NA>카페카페전라남도순천시장천동<NA>78-4 번지중앙2길3 번34.949648127.48585157956전라남도 순천시 중앙2길 3전라남도 순천시 장천동 78-4061-744-279215:00-21:00확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-21
4999정거장<NA>카페카페,디저트전라남도순천시장천동<NA>85-90 번지팔마로17-1 번34.946806127.49034357960전라남도 순천시 팔마로 17-1전라남도 순천시 장천동 85-90061-741-339016:00-21:00확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-21

Duplicate rows

Most frequently occurring

시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일지역화폐 사용 가능 여부제로페이 사용여부키오스크 사용 여부배달앱 사용 여부최종 작성일# duplicates
0기아자동차연향대리점도,소매업전시,판매전라남도순천시연향동<NA>1433-3 번지충효로101 번34.947897127.51472357991전라남도 순천시 충효로 101전라남도 순천시 연향동 1433-3061-722-570009:00-20:00확인불가화폐사용 불가제로페이 사용불가키오스크 사용불가배달앱 사용불가2022-11-212
1합동모사<NA>도,소매업모사전라남도순천시중앙동<NA>85-13 번지중앙로110-1 번34.955376127.48430757942전라남도 순천시 중앙로 110-1전라남도 순천시 중앙동 85-13061-752-7432확인불가확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-212
2흰돌자동미션<NA>도,소매업자동차부품전라남도순천시덕암동<NA>222-10 번지팔마로184 번34.942453127.50700457963전라남도 순천시 팔마로 184전라남도 순천시 덕암동 222-10061-745-367708:30-19:30확인불가화폐사용 불가제로페이 사용가능키오스크 사용불가배달앱 사용불가2022-11-212