Overview

Dataset statistics

Number of variables25
Number of observations5076
Missing cells5439
Missing cells (%)4.3%
Duplicate rows8
Duplicate rows (%)0.2%
Total size in memory1006.4 KiB
Average record size in memory203.0 B

Variable types

Text16
Categorical6
Numeric3

Dataset

Description전라남도 순천시 도시재생 활성화 구역을 포함 장소 기준 소상공인 세부 정보 데이터를 개방합니다 (시설명, 주소정보, 운영시간, SNS 정보 등)
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15111574/fileData.do

Alerts

시도 명칭 has constant value ""Constant
시군구 명칭 has constant value ""Constant
페이스북 주소 has constant value ""Constant
최종 작성일 has constant value ""Constant
Dataset has 8 (0.2%) duplicate rowsDuplicates
리 명칭 is highly imbalanced (99.0%)Imbalance
분점명 has 4367 (86.0%) missing valuesMissing
전화번호 has 1022 (20.1%) missing valuesMissing
우편번호 is highly skewed (γ1 = 35.59083875)Skewed

Reproduction

Analysis started2023-12-12 18:51:53.946379
Analysis finished2023-12-12 18:51:57.118204
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct4621
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:51:57.385746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.462569
Min length1

Characters and Unicode

Total characters27728
Distinct characters922
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

Unique4256 ?
Unique (%)83.8%

Sample

1st row69모텔
2nd row007노래방
3rd row1도씨맥주
4th row187에어컨공조
5th row1도씨맥주&치킨
ValueCountFrequency (%)
gs25 22
 
0.4%
cu 17
 
0.3%
카페 10
 
0.2%
세븐일레븐 10
 
0.2%
이디야커피 9
 
0.2%
순천 7
 
0.1%
이마트24 6
 
0.1%
배스킨라빈스31 6
 
0.1%
순천중앙병원 6
 
0.1%
미니스톱 6
 
0.1%
Other values (4623) 5097
98.1%
2023-12-13T03:51:58.044005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 598
 
2.2%
스 573
 
2.1%
리 438
 
1.6%
원 386
 
1.4%
어 380
 
1.4%
사 341
 
1.2%
미 321
 
1.2%
298
 
1.1%
아 289
 
1.0%
인 287
 
1.0%
Other values (912) 23817
85.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26163
94.4%
Uppercase Letter 585
 
2.1%
Space Separator 298
 
1.1%
Decimal Number 288
 
1.0%
Lowercase Letter 229
 
0.8%
Other Punctuation 69
 
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 598
 
2.3%
스 573
 
2.2%
리 438
 
1.7%
원 386
 
1.5%
어 380
 
1.5%
사 341
 
1.3%
미 321
 
1.2%
아 289
 
1.1%
인 287
 
1.1%
장 283
 
1.1%
Other values (840) 22267
85.1%
Uppercase Letter
ValueCountFrequency (%)
C 73
 
12.5%
S 56
 
9.6%
G 42
 
7.2%
A 37
 
6.3%
O 34
 
5.8%
L 30
 
5.1%
E 30
 
5.1%
B 30
 
5.1%
K 26
 
4.4%
M 25
 
4.3%
Other values (15) 202
34.5%
Lowercase Letter
ValueCountFrequency (%)
e 27
11.8%
a 24
 
10.5%
o 18
 
7.9%
s 16
 
7.0%
i 16
 
7.0%
c 15
 
6.6%
r 14
 
6.1%
t 13
 
5.7%
n 10
 
4.4%
f 10
 
4.4%
Other values (12) 66
28.8%
Decimal Number
ValueCountFrequency (%)
2 74
25.7%
0 38
13.2%
1 36
12.5%
5 33
11.5%
4 28
 
9.7%
3 26
 
9.0%
9 16
 
5.6%
6 15
 
5.2%
8 12
 
4.2%
7 10
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 35
50.7%
, 13
 
18.8%
. 11
 
15.9%
! 4
 
5.8%
/ 3
 
4.3%
# 1
 
1.4%
: 1
 
1.4%
; 1
 
1.4%
Space Separator
ValueCountFrequency (%)
298
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%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26164
94.4%
Latin 814
 
2.9%
Common 750
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 598
 
2.3%
스 573
 
2.2%
리 438
 
1.7%
원 386
 
1.5%
어 380
 
1.5%
사 341
 
1.3%
미 321
 
1.2%
아 289
 
1.1%
인 287
 
1.1%
장 283
 
1.1%
Other values (841) 22268
85.1%
Latin
ValueCountFrequency (%)
C 73
 
9.0%
S 56
 
6.9%
G 42
 
5.2%
A 37
 
4.5%
O 34
 
4.2%
L 30
 
3.7%
E 30
 
3.7%
B 30
 
3.7%
e 27
 
3.3%
K 26
 
3.2%
Other values (37) 429
52.7%
Common
ValueCountFrequency (%)
298
39.7%
2 74
 
9.9%
( 44
 
5.9%
) 44
 
5.9%
0 38
 
5.1%
1 36
 
4.8%
& 35
 
4.7%
5 33
 
4.4%
4 28
 
3.7%
3 26
 
3.5%
Other values (14) 94
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26163
94.4%
ASCII 1564
 
5.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 598
 
2.3%
스 573
 
2.2%
리 438
 
1.7%
원 386
 
1.5%
어 380
 
1.5%
사 341
 
1.3%
미 321
 
1.2%
아 289
 
1.1%
인 287
 
1.1%
장 283
 
1.1%
Other values (840) 22267
85.1%
ASCII
ValueCountFrequency (%)
298
 
19.1%
2 74
 
4.7%
C 73
 
4.7%
S 56
 
3.6%
( 44
 
2.8%
) 44
 
2.8%
G 42
 
2.7%
0 38
 
2.4%
A 37
 
2.4%
1 36
 
2.3%
Other values (61) 822
52.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

분점명
Text

MISSING 

Distinct235
Distinct (%)33.1%
Missing4367
Missing (%)86.0%
Memory size39.8 KiB
2023-12-13T03:51:58.452079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.506347
Min length2

Characters and Unicode

Total characters3195
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

Unique165 ?
Unique (%)23.3%

Sample

1st row호반점
2nd row연향점
3rd row헐크세차점
4th row연향점
5th row순천오천점
ValueCountFrequency (%)
순천점 132
 
16.6%
순천 82
 
10.3%
순천연향점 53
 
6.7%
연향점 51
 
6.4%
중앙점 40
 
5.0%
순천중앙점 29
 
3.6%
풍덕점 18
 
2.3%
순천대리점 12
 
1.5%
금당점 12
 
1.5%
장천점 11
 
1.4%
Other values (210) 356
44.7%
2023-12-13T03:51:59.106584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 670
21.0%
천 498
15.6%
순 465
14.6%
연 151
 
4.7%
향 148
 
4.6%
91
 
2.8%
중 83
 
2.6%
앙 83
 
2.6%
리 43
 
1.3%
대 42
 
1.3%
Other values (170) 921
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3059
95.7%
Space Separator 91
 
2.8%
Decimal Number 40
 
1.3%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 670
21.9%
천 498
16.3%
순 465
15.2%
연 151
 
4.9%
향 148
 
4.8%
중 83
 
2.7%
앙 83
 
2.7%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 836
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 (%)
91
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3059
95.7%
Common 131
 
4.1%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 670
21.9%
천 498
16.3%
순 465
15.2%
연 151
 
4.9%
향 148
 
4.8%
중 83
 
2.7%
앙 83
 
2.7%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 836
27.3%
Common
ValueCountFrequency (%)
91
69.5%
2 21
 
16.0%
3 8
 
6.1%
4 6
 
4.6%
1 5
 
3.8%
Latin
ValueCountFrequency (%)
T 2
40.0%
s 1
20.0%
D 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3059
95.7%
ASCII 136
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 670
21.9%
천 498
16.3%
순 465
15.2%
연 151
 
4.9%
향 148
 
4.8%
중 83
 
2.7%
앙 83
 
2.7%
리 43
 
1.4%
대 42
 
1.4%
지 40
 
1.3%
Other values (161) 836
27.3%
ASCII
ValueCountFrequency (%)
91
66.9%
2 21
 
15.4%
3 8
 
5.9%
4 6
 
4.4%
1 5
 
3.7%
T 2
 
1.5%
s 1
 
0.7%
D 1
 
0.7%
S 1
 
0.7%

목록
Text

Distinct122
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:51:59.412175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.1032309
Min length2

Characters and Unicode

Total characters20828
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 (%)1.2%

Sample

1st row숙박업
2nd row다중이용시설
3rd row음식점
4th row공조설비
5th row음식점
ValueCountFrequency (%)
도,소매업 1773
34.8%
음식점 1193
23.4%
미용,서비스업 390
 
7.6%
카페 300
 
5.9%
다중이용시설 154
 
3.0%
숙박업 145
 
2.8%
학원 144
 
2.8%
이,미용업 114
 
2.2%
문화,예술 106
 
2.1%
서비스업 89
 
1.7%
Other values (110) 692
 
13.6%
2023-12-13T03:52:00.054646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2652
12.7%
, 2387
11.5%
소 1778
 
8.5%
매 1778
 
8.5%
도 1774
 
8.5%
음 1245
 
6.0%
식 1211
 
5.8%
점 1209
 
5.8%
용 660
 
3.2%
미 505
 
2.4%
Other values (145) 5629
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18405
88.4%
Other Punctuation 2387
 
11.5%
Space Separator 36
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2652
14.4%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.6%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.7%
비 500
 
2.7%
Other values (143) 5093
27.7%
Other Punctuation
ValueCountFrequency (%)
, 2387
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18405
88.4%
Common 2423
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2652
14.4%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.6%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.7%
비 500
 
2.7%
Other values (143) 5093
27.7%
Common
ValueCountFrequency (%)
, 2387
98.5%
36
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18405
88.4%
ASCII 2423
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2652
14.4%
소 1778
 
9.7%
매 1778
 
9.7%
도 1774
 
9.6%
음 1245
 
6.8%
식 1211
 
6.6%
점 1209
 
6.6%
용 660
 
3.6%
미 505
 
2.7%
비 500
 
2.7%
Other values (143) 5093
27.7%
ASCII
ValueCountFrequency (%)
, 2387
98.5%
36
 
1.5%

상세목록
Text

Distinct1048
Distinct (%)20.7%
Missing16
Missing (%)0.3%
Memory size39.8 KiB
2023-12-13T03:52:00.501337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length3.8774704
Min length1

Characters and Unicode

Total characters19620
Distinct characters469
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

Unique543 ?
Unique (%)10.7%

Sample

1st row모텔
2nd row노래방
3rd row맥주
4th row에어컨공조
5th row맥주,호프
ValueCountFrequency (%)
한식 275
 
5.3%
미용실 254
 
4.9%
카페 165
 
3.2%
모텔 90
 
1.7%
편의점 88
 
1.7%
카페,디저트 87
 
1.7%
슈퍼,마트 73
 
1.4%
미용 62
 
1.2%
노래방 54
 
1.0%
공방 52
 
1.0%
Other values (1053) 4020
77.0%
2023-12-13T03:52:01.296193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1065
 
5.4%
식 659
 
3.4%
용 491
 
2.5%
한 414
 
2.1%
미 378
 
1.9%
리 357
 
1.8%
트 320
 
1.6%
실 285
 
1.5%
페 282
 
1.4%
카 279
 
1.4%
Other values (459) 15090
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18070
92.1%
Other Punctuation 1069
 
5.4%
Space Separator 161
 
0.8%
Open Punctuation 120
 
0.6%
Close Punctuation 120
 
0.6%
Uppercase Letter 72
 
0.4%
Lowercase Letter 6
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 659
 
3.6%
용 491
 
2.7%
한 414
 
2.3%
미 378
 
2.1%
리 357
 
2.0%
트 320
 
1.8%
실 285
 
1.6%
페 282
 
1.6%
카 279
 
1.5%
품 270
 
1.5%
Other values (437) 14335
79.3%
Uppercase Letter
ValueCountFrequency (%)
A 16
22.2%
S 16
22.2%
P 13
18.1%
C 12
16.7%
G 4
 
5.6%
B 3
 
4.2%
R 3
 
4.2%
T 2
 
2.8%
E 1
 
1.4%
K 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 1065
99.6%
/ 3
 
0.3%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
b 2
33.3%
r 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18070
92.1%
Common 1472
 
7.5%
Latin 78
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 659
 
3.6%
용 491
 
2.7%
한 414
 
2.3%
미 378
 
2.1%
리 357
 
2.0%
트 320
 
1.8%
실 285
 
1.6%
페 282
 
1.6%
카 279
 
1.5%
품 270
 
1.5%
Other values (437) 14335
79.3%
Latin
ValueCountFrequency (%)
A 16
20.5%
S 16
20.5%
P 13
16.7%
C 12
15.4%
G 4
 
5.1%
B 3
 
3.8%
R 3
 
3.8%
a 2
 
2.6%
b 2
 
2.6%
r 2
 
2.6%
Other values (4) 5
 
6.4%
Common
ValueCountFrequency (%)
, 1065
72.4%
161
 
10.9%
( 120
 
8.2%
) 120
 
8.2%
/ 3
 
0.2%
2 1
 
0.1%
3 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18070
92.1%
ASCII 1550
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1065
68.7%
161
 
10.4%
( 120
 
7.7%
) 120
 
7.7%
A 16
 
1.0%
S 16
 
1.0%
P 13
 
0.8%
C 12
 
0.8%
G 4
 
0.3%
/ 3
 
0.2%
Other values (12) 20
 
1.3%
Hangul
ValueCountFrequency (%)
식 659
 
3.6%
용 491
 
2.7%
한 414
 
2.3%
미 378
 
2.1%
리 357
 
2.0%
트 320
 
1.8%
실 285
 
1.6%
페 282
 
1.6%
카 279
 
1.5%
품 270
 
1.5%
Other values (437) 14335
79.3%

시도 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
전라남도
5076 

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 5076
100.0%

Length

2023-12-13T03:52:01.560567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:01.741816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 5076
100.0%

시군구 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
순천시
5076 

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 5076
100.0%

Length

2023-12-13T03:52:01.926803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:02.102621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순천시 5076
100.0%

법정읍면동명칭
Categorical

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
연향동
1429 
장천동
821 
풍덕동
546 
조곡동
357 
동외동
320 
Other values (28)
1603 

Length

Max length4
Median length3
Mean length2.9539007
Min length2

Unique

Unique8 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
연향동 1429
28.2%
장천동 821
16.2%
풍덕동 546
 
10.8%
조곡동 357
 
7.0%
동외동 320
 
6.3%
남내동 250
 
4.9%
덕암동 231
 
4.6%
저전동 231
 
4.6%
중앙동 208
 
4.1%
행동 152
 
3.0%
Other values (23) 531
 
10.5%

Length

2023-12-13T03:52:02.315368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연향동 1429
28.2%
장천동 821
16.2%
풍덕동 546
 
10.8%
조곡동 357
 
7.0%
동외동 321
 
6.3%
남내동 250
 
4.9%
덕암동 231
 
4.6%
저전동 231
 
4.6%
중앙동 208
 
4.1%
행동 152
 
3.0%
Other values (22) 530
 
10.4%

리 명칭
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5066 
신대리
 
5
상삼리
 
3
압곡리
 
1
 
1

Length

Max length20
Median length4
Mean length4.001379
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> 5066
99.8%
신대리 5
 
0.1%
상삼리 3
 
0.1%
압곡리 1
 
< 0.1%
1
 
< 0.1%

Length

2023-12-13T03:52:02.557840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:02.728161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5066
99.8%
신대리 5
 
0.1%
상삼리 3
 
0.1%
압곡리 1
 
< 0.1%

번지
Text

Distinct2648
Distinct (%)52.2%
Missing1
Missing (%)< 0.1%
Memory size39.8 KiB
2023-12-13T03:52:03.282630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.0104433
Min length4

Characters and Unicode

Total characters40653
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

Unique1546 ?
Unique (%)30.5%

Sample

1st row1329-10 번지
2nd row1348-1 번지
3rd row1610-7 번지
4th row7-3 번지
5th row1464-3 번지
ValueCountFrequency (%)
번지 5075
50.0%
1264 59
 
0.6%
168-1 51
 
0.5%
54-1 29
 
0.3%
169 25
 
0.2%
1333 24
 
0.2%
151 24
 
0.2%
1386 23
 
0.2%
1347 22
 
0.2%
119-1 19
 
0.2%
Other values (2639) 4799
47.3%
2023-12-13T03:52:04.068422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5237
12.9%
5075
12.5%
번 5075
12.5%
지 5075
12.5%
- 4393
10.8%
2 2469
6.1%
3 2435
6.0%
5 2086
 
5.1%
6 1915
 
4.7%
4 1813
 
4.5%
Other values (4) 5080
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21035
51.7%
Other Letter 10150
25.0%
Space Separator 5075
 
12.5%
Dash Punctuation 4393
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5237
24.9%
2 2469
11.7%
3 2435
11.6%
5 2086
 
9.9%
6 1915
 
9.1%
4 1813
 
8.6%
8 1647
 
7.8%
7 1410
 
6.7%
9 1068
 
5.1%
0 955
 
4.5%
Other Letter
ValueCountFrequency (%)
번 5075
50.0%
지 5075
50.0%
Space Separator
ValueCountFrequency (%)
5075
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30503
75.0%
Hangul 10150
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5237
17.2%
5075
16.6%
- 4393
14.4%
2 2469
8.1%
3 2435
8.0%
5 2086
 
6.8%
6 1915
 
6.3%
4 1813
 
5.9%
8 1647
 
5.4%
7 1410
 
4.6%
Other values (2) 2023
 
6.6%
Hangul
ValueCountFrequency (%)
번 5075
50.0%
지 5075
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30503
75.0%
Hangul 10150
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5237
17.2%
5075
16.6%
- 4393
14.4%
2 2469
8.1%
3 2435
8.0%
5 2086
 
6.8%
6 1915
 
6.3%
4 1813
 
5.9%
8 1647
 
5.4%
7 1410
 
4.6%
Other values (2) 2023
 
6.6%
Hangul
ValueCountFrequency (%)
번 5075
50.0%
지 5075
50.0%

도로명 이름
Text

Distinct281
Distinct (%)5.6%
Missing13
Missing (%)0.3%
Memory size39.8 KiB
2023-12-13T03:52:04.548114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.887221
Min length3

Characters and Unicode

Total characters19681
Distinct characters143
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

Unique51 ?
Unique (%)1.0%

Sample

1st row연향상가5길
2nd row연향3로
3rd row안산길
4th row감사터3길
5th row기적의도서관길
ValueCountFrequency (%)
팔마로 295
 
5.8%
중앙로 253
 
5.0%
이수로 149
 
2.9%
시민로 140
 
2.8%
장평로 136
 
2.7%
강남로 134
 
2.6%
장명로 104
 
2.1%
풍덕주택길 102
 
2.0%
연향번영길 101
 
2.0%
북문길 98
 
1.9%
Other values (270) 3551
70.1%
2023-12-13T03:52:05.287803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 3200
 
16.3%
로 1863
 
9.5%
장 839
 
4.3%
연 704
 
3.6%
중 639
 
3.2%
향 633
 
3.2%
앙 619
 
3.1%
1 545
 
2.8%
2 467
 
2.4%
마 433
 
2.2%
Other values (133) 9739
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17943
91.2%
Decimal Number 1736
 
8.8%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 3200
 
17.8%
로 1863
 
10.4%
장 839
 
4.7%
연 704
 
3.9%
중 639
 
3.6%
향 633
 
3.5%
앙 619
 
3.4%
마 433
 
2.4%
팔 418
 
2.3%
남 352
 
2.0%
Other values (123) 8243
45.9%
Decimal Number
ValueCountFrequency (%)
1 545
31.4%
2 467
26.9%
3 324
18.7%
4 145
 
8.4%
5 86
 
5.0%
6 84
 
4.8%
7 47
 
2.7%
8 37
 
2.1%
0 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17943
91.2%
Common 1738
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 3200
 
17.8%
로 1863
 
10.4%
장 839
 
4.7%
연 704
 
3.9%
중 639
 
3.6%
향 633
 
3.5%
앙 619
 
3.4%
마 433
 
2.4%
팔 418
 
2.3%
남 352
 
2.0%
Other values (123) 8243
45.9%
Common
ValueCountFrequency (%)
1 545
31.4%
2 467
26.9%
3 324
18.6%
4 145
 
8.3%
5 86
 
4.9%
6 84
 
4.8%
7 47
 
2.7%
8 37
 
2.1%
2
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17943
91.2%
ASCII 1738
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 3200
 
17.8%
로 1863
 
10.4%
장 839
 
4.7%
연 704
 
3.9%
중 639
 
3.6%
향 633
 
3.5%
앙 619
 
3.4%
마 433
 
2.4%
팔 418
 
2.3%
남 352
 
2.0%
Other values (123) 8243
45.9%
ASCII
ValueCountFrequency (%)
1 545
31.4%
2 467
26.9%
3 324
18.6%
4 145
 
8.3%
5 86
 
4.9%
6 84
 
4.8%
7 47
 
2.7%
8 37
 
2.1%
2
 
0.1%
0 1
 
0.1%

건물 번호
Text

Distinct578
Distinct (%)11.4%
Missing13
Missing (%)0.3%
Memory size39.8 KiB
2023-12-13T03:52:05.855163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2490618
Min length3

Characters and Unicode

Total characters21513
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

Unique251 ?
Unique (%)5.0%

Sample

1st row3 번
2nd row2 번
3rd row18 번
4th row51 번
5th row36 번
ValueCountFrequency (%)
번 5063
50.0%
5 108
 
1.1%
40 107
 
1.1%
10 107
 
1.1%
4 99
 
1.0%
15 99
 
1.0%
9 94
 
0.9%
3 92
 
0.9%
18 90
 
0.9%
7 89
 
0.9%
Other values (569) 4178
41.3%
2023-12-13T03:52:06.659503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5063
23.5%
번 5063
23.5%
1 2569
11.9%
2 1438
 
6.7%
3 1126
 
5.2%
4 1045
 
4.9%
5 995
 
4.6%
0 818
 
3.8%
6 810
 
3.8%
- 674
 
3.1%
Other values (3) 1912
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10713
49.8%
Space Separator 5063
23.5%
Other Letter 5063
23.5%
Dash Punctuation 674
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2569
24.0%
2 1438
13.4%
3 1126
10.5%
4 1045
9.8%
5 995
 
9.3%
0 818
 
7.6%
6 810
 
7.6%
7 660
 
6.2%
8 634
 
5.9%
9 618
 
5.8%
Space Separator
ValueCountFrequency (%)
5063
100.0%
Other Letter
ValueCountFrequency (%)
번 5063
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16450
76.5%
Hangul 5063
 
23.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5063
30.8%
1 2569
15.6%
2 1438
 
8.7%
3 1126
 
6.8%
4 1045
 
6.4%
5 995
 
6.0%
0 818
 
5.0%
6 810
 
4.9%
- 674
 
4.1%
7 660
 
4.0%
Other values (2) 1252
 
7.6%
Hangul
ValueCountFrequency (%)
번 5063
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16450
76.5%
Hangul 5063
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5063
30.8%
1 2569
15.6%
2 1438
 
8.7%
3 1126
 
6.8%
4 1045
 
6.4%
5 995
 
6.0%
0 818
 
5.0%
6 810
 
4.9%
- 674
 
4.1%
7 660
 
4.0%
Other values (2) 1252
 
7.6%
Hangul
ValueCountFrequency (%)
번 5063
100.0%

위도
Real number (ℝ)

Distinct2741
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.948345
Minimum34.793648
Maximum34.992926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-13T03:52:06.901623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.793648
5-th percentile34.939504
Q134.944714
median34.948253
Q334.952433
95-th percentile34.957329
Maximum34.992926
Range0.1992779
Interquartile range (IQR)0.0077188

Descriptive statistics

Standard deviation0.0064784603
Coefficient of variation (CV)0.00018537245
Kurtosis66.142915
Mean34.948345
Median Absolute Deviation (MAD)0.0039136
Skewness-2.8034449
Sum177397.8
Variance4.1970448 × 10-5
MonotonicityNot monotonic
2023-12-13T03:52:07.165680image/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%
34.942448 25
 
0.5%
34.9515951 24
 
0.5%
34.9412428 23
 
0.5%
34.9439505 23
 
0.5%
34.950132 23
 
0.5%
34.9547761 22
 
0.4%
34.9420661 22
 
0.4%
Other values (2731) 4778
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)

Distinct2755
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.49986
Minimum127.4381
Maximum127.75493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-13T03:52:07.808580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.4381
5-th percentile127.48212
Q1127.48597
median127.49541
Q3127.51548
95-th percentile127.5256
Maximum127.75493
Range0.3168284
Interquartile range (IQR)0.0295123

Descriptive statistics

Standard deviation0.015716242
Coefficient of variation (CV)0.00012326478
Kurtosis12.631598
Mean127.49986
Median Absolute Deviation (MAD)0.01056445
Skewness1.2292986
Sum647189.28
Variance0.00024700025
MonotonicityNot monotonic
2023-12-13T03:52:08.059940image/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%
127.508434 25
 
0.5%
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%
Other values (2745) 4777
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%
Mean58342.893
Minimum54962
Maximum540945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-13T03:52:08.347932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54962
5-th percentile57941
Q157955
median57960
Q357977
95-th percentile58002
Maximum540945
Range485983
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13536.646
Coefficient of variation (CV)0.23201876
Kurtosis1265.2218
Mean58342.893
Median Absolute Deviation (MAD)8
Skewness35.590839
Sum2.9614852 × 108
Variance1.8324077 × 108
MonotonicityNot monotonic
2023-12-13T03:52:08.579546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57956 593
 
11.7%
57942 573
 
11.3%
57941 331
 
6.5%
57967 243
 
4.8%
57963 234
 
4.6%
57959 230
 
4.5%
57957 230
 
4.5%
57960 200
 
3.9%
57964 196
 
3.9%
57939 190
 
3.7%
Other values (66) 2056
40.5%
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 190
3.7%
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

Distinct3132
Distinct (%)61.8%
Missing6
Missing (%)0.1%
Memory size39.8 KiB
2023-12-13T03:52:09.085587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length16.77712
Min length13

Characters and Unicode

Total characters85060
Distinct characters446
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

Unique2156 ?
Unique (%)42.5%

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 5069
24.2%
순천시 5069
24.2%
팔마로 294
 
1.4%
중앙로 253
 
1.2%
이수로 150
 
0.7%
시민로 140
 
0.7%
장평로 136
 
0.6%
강남로 133
 
0.6%
1층 110
 
0.5%
10 107
 
0.5%
Other values (1308) 9471
45.2%
2023-12-13T03:52:09.919691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15885
18.7%
남 5434
 
6.4%
전 5350
 
6.3%
천 5345
 
6.3%
시 5332
 
6.3%
도 5225
 
6.1%
순 5113
 
6.0%
라 5079
 
6.0%
1 3275
 
3.9%
길 3204
 
3.8%
Other values (436) 25818
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55585
65.3%
Space Separator 15885
 
18.7%
Decimal Number 12767
 
15.0%
Dash Punctuation 716
 
0.8%
Uppercase Letter 38
 
< 0.1%
Lowercase Letter 21
 
< 0.1%
Close Punctuation 17
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Other Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 5434
9.8%
전 5350
9.6%
천 5345
9.6%
시 5332
9.6%
도 5225
9.4%
순 5113
9.2%
라 5079
 
9.1%
길 3204
 
5.8%
로 1878
 
3.4%
장 860
 
1.5%
Other values (392) 12765
23.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
15.8%
S 6
15.8%
C 5
13.2%
N 5
13.2%
K 3
7.9%
L 2
 
5.3%
E 2
 
5.3%
R 2
 
5.3%
G 2
 
5.3%
B 1
 
2.6%
Other values (4) 4
10.5%
Lowercase Letter
ValueCountFrequency (%)
c 4
19.0%
o 3
14.3%
a 2
9.5%
s 2
9.5%
n 2
9.5%
u 1
 
4.8%
d 1
 
4.8%
k 1
 
4.8%
h 1
 
4.8%
e 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 3275
25.7%
2 1977
15.5%
3 1473
11.5%
4 1203
 
9.4%
5 1092
 
8.6%
6 900
 
7.0%
0 838
 
6.6%
7 711
 
5.6%
8 677
 
5.3%
9 621
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 7
46.7%
. 6
40.0%
& 2
 
13.3%
Space Separator
ValueCountFrequency (%)
15885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55585
65.3%
Common 29416
34.6%
Latin 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 5434
9.8%
전 5350
9.6%
천 5345
9.6%
시 5332
9.6%
도 5225
9.4%
순 5113
9.2%
라 5079
 
9.1%
길 3204
 
5.8%
로 1878
 
3.4%
장 860
 
1.5%
Other values (392) 12765
23.0%
Latin
ValueCountFrequency (%)
A 6
 
10.2%
S 6
 
10.2%
C 5
 
8.5%
N 5
 
8.5%
c 4
 
6.8%
K 3
 
5.1%
o 3
 
5.1%
a 2
 
3.4%
s 2
 
3.4%
L 2
 
3.4%
Other values (17) 21
35.6%
Common
ValueCountFrequency (%)
15885
54.0%
1 3275
 
11.1%
2 1977
 
6.7%
3 1473
 
5.0%
4 1203
 
4.1%
5 1092
 
3.7%
6 900
 
3.1%
0 838
 
2.8%
- 716
 
2.4%
7 711
 
2.4%
Other values (7) 1346
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55585
65.3%
ASCII 29475
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15885
53.9%
1 3275
 
11.1%
2 1977
 
6.7%
3 1473
 
5.0%
4 1203
 
4.1%
5 1092
 
3.7%
6 900
 
3.1%
0 838
 
2.8%
- 716
 
2.4%
7 711
 
2.4%
Other values (34) 1405
 
4.8%
Hangul
ValueCountFrequency (%)
남 5434
9.8%
전 5350
9.6%
천 5345
9.6%
시 5332
9.6%
도 5225
9.4%
순 5113
9.2%
라 5079
 
9.1%
길 3204
 
5.8%
로 1878
 
3.4%
장 860
 
1.5%
Other values (392) 12765
23.0%

지번주소
Text

Distinct2905
Distinct (%)57.2%
Missing1
Missing (%)< 0.1%
Memory size39.8 KiB
2023-12-13T03:52:10.418617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length17.994877
Min length12

Characters and Unicode

Total characters91324
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

Unique1854 ?
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 5074
25.0%
순천시 5067
24.9%
연향동 1428
 
7.0%
장천동 820
 
4.0%
풍덕동 548
 
2.7%
조곡동 352
 
1.7%
동외동 320
 
1.6%
남내동 250
 
1.2%
저전동 232
 
1.1%
덕암동 231
 
1.1%
Other values (2724) 5987
29.5%
2023-12-13T03:52:11.089012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15305
16.8%
천 5949
 
6.5%
남 5465
 
6.0%
동 5384
 
5.9%
전 5307
 
5.8%
1 5261
 
5.8%
도 5076
 
5.6%
순 5076
 
5.6%
시 5075
 
5.6%
라 5075
 
5.6%
Other values (69) 28351
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50548
55.4%
Decimal Number 21073
23.1%
Space Separator 15305
 
16.8%
Dash Punctuation 4395
 
4.8%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 5949
11.8%
남 5465
10.8%
동 5384
10.7%
전 5307
10.5%
도 5076
10.0%
순 5076
10.0%
시 5075
10.0%
라 5075
10.0%
연 1428
 
2.8%
향 1428
 
2.8%
Other values (55) 5285
10.5%
Decimal Number
ValueCountFrequency (%)
1 5261
25.0%
2 2506
11.9%
3 2430
11.5%
5 2080
 
9.9%
6 1910
 
9.1%
4 1807
 
8.6%
8 1641
 
7.8%
7 1415
 
6.7%
9 1065
 
5.1%
0 958
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
N 1
33.3%
Space Separator
ValueCountFrequency (%)
15305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50548
55.4%
Common 40773
44.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 5949
11.8%
남 5465
10.8%
동 5384
10.7%
전 5307
10.5%
도 5076
10.0%
순 5076
10.0%
시 5075
10.0%
라 5075
10.0%
연 1428
 
2.8%
향 1428
 
2.8%
Other values (55) 5285
10.5%
Common
ValueCountFrequency (%)
15305
37.5%
1 5261
 
12.9%
- 4395
 
10.8%
2 2506
 
6.1%
3 2430
 
6.0%
5 2080
 
5.1%
6 1910
 
4.7%
4 1807
 
4.4%
8 1641
 
4.0%
7 1415
 
3.5%
Other values (2) 2023
 
5.0%
Latin
ValueCountFrequency (%)
C 2
66.7%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50548
55.4%
ASCII 40776
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15305
37.5%
1 5261
 
12.9%
- 4395
 
10.8%
2 2506
 
6.1%
3 2430
 
6.0%
5 2080
 
5.1%
6 1910
 
4.7%
4 1807
 
4.4%
8 1641
 
4.0%
7 1415
 
3.5%
Other values (4) 2026
 
5.0%
Hangul
ValueCountFrequency (%)
천 5949
11.8%
남 5465
10.8%
동 5384
10.7%
전 5307
10.5%
도 5076
10.0%
순 5076
10.0%
시 5075
10.0%
라 5075
10.0%
연 1428
 
2.8%
향 1428
 
2.8%
Other values (55) 5285
10.5%

전화번호
Text

MISSING 

Distinct3467
Distinct (%)85.5%
Missing1022
Missing (%)20.1%
Memory size39.8 KiB
2023-12-13T03:52:11.422266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.294031
Min length2

Characters and Unicode

Total characters49840
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

Unique2970 ?
Unique (%)73.3%

Sample

1st row061-723-1911
2nd row061-725-7780
3rd row061-742-0488
4th row061-724-5800
5th row061-752-4666
ValueCountFrequency (%)
확인불가 31
 
0.8%
1577-9621 6
 
0.1%
061-753-0175 4
 
0.1%
061-753-5323 4
 
0.1%
061-752-2522 4
 
0.1%
061-743-5557 4
 
0.1%
061-908-2112 4
 
0.1%
061-744-0518 3
 
0.1%
061-743-6803 3
 
0.1%
061-746-0001 3
 
0.1%
Other values (3454) 3986
98.4%
2023-12-13T03:52:11.939256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8024
16.1%
0 7242
14.5%
1 6370
12.8%
7 5682
11.4%
6 4843
9.7%
4 3863
7.8%
5 3749
7.5%
2 3457
6.9%
3 2846
 
5.7%
8 1871
 
3.8%
Other values (7) 1893
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41677
83.6%
Dash Punctuation 8024
 
16.1%
Other Letter 124
 
0.2%
Space Separator 12
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7242
17.4%
1 6370
15.3%
7 5682
13.6%
6 4843
11.6%
4 3863
9.3%
5 3749
9.0%
2 3457
8.3%
3 2846
 
6.8%
8 1871
 
4.5%
9 1754
 
4.2%
Other Letter
ValueCountFrequency (%)
확 31
25.0%
인 31
25.0%
가 31
25.0%
불 31
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 8024
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49716
99.8%
Hangul 124
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8024
16.1%
0 7242
14.6%
1 6370
12.8%
7 5682
11.4%
6 4843
9.7%
4 3863
7.8%
5 3749
7.5%
2 3457
7.0%
3 2846
 
5.7%
8 1871
 
3.8%
Other values (3) 1769
 
3.6%
Hangul
ValueCountFrequency (%)
확 31
25.0%
인 31
25.0%
가 31
25.0%
불 31
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49716
99.8%
Hangul 124
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8024
16.1%
0 7242
14.6%
1 6370
12.8%
7 5682
11.4%
6 4843
9.7%
4 3863
7.8%
5 3749
7.5%
2 3457
7.0%
3 2846
 
5.7%
8 1871
 
3.8%
Other values (3) 1769
 
3.6%
Hangul
ValueCountFrequency (%)
확 31
25.0%
인 31
25.0%
가 31
25.0%
불 31
25.0%

운영시간
Text

Distinct692
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:12.344229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length57
Mean length8.5596927
Min length2

Characters and Unicode

Total characters43449
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

Unique466 ?
Unique (%)9.2%

Sample

1st row00:00-24:00
2nd row확인불가
3rd row확인불가
4th row10:00-22:00
5th row16:00-02:00
ValueCountFrequency (%)
확인불가 2441
39.7%
375
 
6.1%
10:00-20:00 173
 
2.8%
09:00-18:00 136
 
2.2%
00:00-24:00 136
 
2.2%
10:00 80
 
1.3%
10:00-22:00 78
 
1.3%
11:00-21:00 74
 
1.2%
10:00-21:00 73
 
1.2%
09:00 72
 
1.2%
Other values (672) 2518
40.9%
2023-12-13T03:52:13.014369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13209
30.4%
: 5740
13.2%
1 3553
 
8.2%
- 2849
 
6.6%
확 2441
 
5.6%
불 2441
 
5.6%
가 2441
 
5.6%
인 2441
 
5.6%
2 2328
 
5.4%
3 1121
 
2.6%
Other values (70) 4885
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22656
52.1%
Other Letter 10722
24.7%
Other Punctuation 5962
 
13.7%
Dash Punctuation 2849
 
6.6%
Space Separator 1091
 
2.5%
Open Punctuation 62
 
0.1%
Close Punctuation 62
 
0.1%
Math Symbol 44
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
확 2441
22.8%
불 2441
22.8%
가 2441
22.8%
인 2441
22.8%
일 150
 
1.4%
토 136
 
1.3%
실 106
 
1.0%
월 59
 
0.6%
금 55
 
0.5%
퇴 53
 
0.5%
Other values (50) 399
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 13209
58.3%
1 3553
 
15.7%
2 2328
 
10.3%
3 1121
 
4.9%
9 1066
 
4.7%
8 627
 
2.8%
4 284
 
1.3%
7 216
 
1.0%
6 130
 
0.6%
5 122
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 5740
96.3%
, 123
 
2.1%
/ 75
 
1.3%
; 24
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 2849
100.0%
Space Separator
ValueCountFrequency (%)
1091
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32727
75.3%
Hangul 10722
 
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
확 2441
22.8%
불 2441
22.8%
가 2441
22.8%
인 2441
22.8%
일 150
 
1.4%
토 136
 
1.3%
실 106
 
1.0%
월 59
 
0.6%
금 55
 
0.5%
퇴 53
 
0.5%
Other values (50) 399
 
3.7%
Common
ValueCountFrequency (%)
0 13209
40.4%
: 5740
17.5%
1 3553
 
10.9%
- 2849
 
8.7%
2 2328
 
7.1%
3 1121
 
3.4%
1091
 
3.3%
9 1066
 
3.3%
8 627
 
1.9%
4 284
 
0.9%
Other values (10) 859
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32727
75.3%
Hangul 10722
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13209
40.4%
: 5740
17.5%
1 3553
 
10.9%
- 2849
 
8.7%
2 2328
 
7.1%
3 1121
 
3.4%
1091
 
3.3%
9 1066
 
3.3%
8 627
 
1.9%
4 284
 
0.9%
Other values (10) 859
 
2.6%
Hangul
ValueCountFrequency (%)
확 2441
22.8%
불 2441
22.8%
가 2441
22.8%
인 2441
22.8%
일 150
 
1.4%
토 136
 
1.3%
실 106
 
1.0%
월 59
 
0.6%
금 55
 
0.5%
퇴 53
 
0.5%
Other values (50) 399
 
3.7%

휴무일
Text

Distinct152
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:13.294643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length4
Mean length4.7395587
Min length1

Characters and Unicode

Total characters24058
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

Unique108 ?
Unique (%)2.1%

Sample

1st row연중무휴
2nd row확인불가
3rd row확인불가
4th row확인불가
5th row확인불가
ValueCountFrequency (%)
확인불가 3295
50.7%
매주 1143
 
17.6%
일요일 785
 
12.1%
연중무휴 472
 
7.3%
월요일 123
 
1.9%
화요일 96
 
1.5%
토,일요일 81
 
1.2%
수요일 64
 
1.0%
매달 55
 
0.8%
토 45
 
0.7%
Other values (116) 341
 
5.2%
2023-12-13T03:52:13.831367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3298
13.7%
가 3295
13.7%
확 3295
13.7%
불 3295
13.7%
일 2279
9.5%
1429
5.9%
요 1317
 
5.5%
매 1222
 
5.1%
주 1198
 
5.0%
휴 521
 
2.2%
Other values (75) 2909
12.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22128
92.0%
Space Separator 1429
 
5.9%
Other Punctuation 324
 
1.3%
Decimal Number 164
 
0.7%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3298
14.9%
가 3295
14.9%
확 3295
14.9%
불 3295
14.9%
일 2279
10.3%
요 1317
 
6.0%
매 1222
 
5.5%
주 1198
 
5.4%
휴 521
 
2.4%
무 498
 
2.3%
Other values (63) 1910
8.6%
Decimal Number
ValueCountFrequency (%)
1 52
31.7%
3 51
31.1%
2 29
17.7%
4 25
15.2%
0 4
 
2.4%
5 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 319
98.5%
/ 5
 
1.5%
Space Separator
ValueCountFrequency (%)
1429
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22128
92.0%
Common 1930
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3298
14.9%
가 3295
14.9%
확 3295
14.9%
불 3295
14.9%
일 2279
10.3%
요 1317
 
6.0%
매 1222
 
5.5%
주 1198
 
5.4%
휴 521
 
2.4%
무 498
 
2.3%
Other values (63) 1910
8.6%
Common
ValueCountFrequency (%)
1429
74.0%
, 319
 
16.5%
1 52
 
2.7%
3 51
 
2.6%
2 29
 
1.5%
4 25
 
1.3%
( 6
 
0.3%
) 6
 
0.3%
/ 5
 
0.3%
0 4
 
0.2%
Other values (2) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22128
92.0%
ASCII 1930
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3298
14.9%
가 3295
14.9%
확 3295
14.9%
불 3295
14.9%
일 2279
10.3%
요 1317
 
6.0%
매 1222
 
5.5%
주 1198
 
5.4%
휴 521
 
2.4%
무 498
 
2.3%
Other values (63) 1910
8.6%
ASCII
ValueCountFrequency (%)
1429
74.0%
, 319
 
16.5%
1 52
 
2.7%
3 51
 
2.6%
2 29
 
1.5%
4 25
 
1.3%
( 6
 
0.3%
) 6
 
0.3%
/ 5
 
0.3%
0 4
 
0.2%
Other values (2) 4
 
0.2%

홈페이지
Text

Distinct567
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:14.198066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length180
Median length4
Mean length7.8010244
Min length2

Characters and Unicode

Total characters39598
Distinct characters166
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)9.9%

Sample

1st rowhttps://www.goodchoice.kr/search/detailView/3680
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 4386
85.4%
http://www.nadle.kr 18
 
0.4%
http://gs25.gsretail.com 15
 
0.3%
http://cu.bgfretail.com 8
 
0.2%
http://www.baskinrobbins.co.kr 8
 
0.2%
7
 
0.1%
http://www.ediya.com 7
 
0.1%
modoo.at 6
 
0.1%
http://www.7-eleven.co.kr 5
 
0.1%
http://www.bulloman.com 5
 
0.1%
Other values (587) 668
 
13.0%
2023-12-13T03:52:15.037092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 4388
 
11.1%
정 4386
 
11.1%
없 4386
 
11.1%
보 4386
 
11.1%
/ 2046
 
5.2%
t 1744
 
4.4%
. 1603
 
4.0%
o 1486
 
3.8%
w 1089
 
2.8%
p 982
 
2.5%
Other values (156) 13102
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17698
44.7%
Lowercase Letter 14687
37.1%
Other Punctuation 4657
 
11.8%
Decimal Number 1810
 
4.6%
Uppercase Letter 389
 
1.0%
Math Symbol 166
 
0.4%
Dash Punctuation 75
 
0.2%
Space Separator 57
 
0.1%
Connector Punctuation 23
 
0.1%
Close Punctuation 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 4388
24.8%
정 4386
24.8%
없 4386
24.8%
보 4386
24.8%
천 10
 
0.1%
순 10
 
0.1%
모 8
 
< 0.1%
스 7
 
< 0.1%
이 7
 
< 0.1%
트 5
 
< 0.1%
Other values (75) 105
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
t 1744
 
11.9%
o 1486
 
10.1%
w 1089
 
7.4%
p 982
 
6.7%
h 915
 
6.2%
a 864
 
5.9%
c 819
 
5.6%
r 783
 
5.3%
s 726
 
4.9%
e 720
 
4.9%
Other values (16) 4559
31.0%
Uppercase Letter
ValueCountFrequency (%)
E 75
19.3%
C 73
18.8%
B 63
16.2%
D 44
11.3%
A 42
10.8%
S 15
 
3.9%
O 13
 
3.3%
U 9
 
2.3%
K 7
 
1.8%
M 7
 
1.8%
Other values (15) 41
10.5%
Other Punctuation
ValueCountFrequency (%)
/ 2046
43.9%
. 1603
34.4%
: 646
 
13.9%
% 193
 
4.1%
& 104
 
2.2%
? 56
 
1.2%
, 6
 
0.1%
@ 1
 
< 0.1%
# 1
 
< 0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 356
19.7%
1 234
12.9%
2 211
11.7%
4 189
10.4%
6 165
9.1%
7 155
8.6%
5 140
 
7.7%
9 129
 
7.1%
8 124
 
6.9%
3 107
 
5.9%
Math Symbol
ValueCountFrequency (%)
= 159
95.8%
| 6
 
3.6%
< 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 17
94.4%
] 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
[ 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17698
44.7%
Latin 15076
38.1%
Common 6824
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 4388
24.8%
정 4386
24.8%
없 4386
24.8%
보 4386
24.8%
천 10
 
0.1%
순 10
 
0.1%
모 8
 
< 0.1%
스 7
 
< 0.1%
이 7
 
< 0.1%
트 5
 
< 0.1%
Other values (75) 105
 
0.6%
Latin
ValueCountFrequency (%)
t 1744
 
11.6%
o 1486
 
9.9%
w 1089
 
7.2%
p 982
 
6.5%
h 915
 
6.1%
a 864
 
5.7%
c 819
 
5.4%
r 783
 
5.2%
s 726
 
4.8%
e 720
 
4.8%
Other values (41) 4948
32.8%
Common
ValueCountFrequency (%)
/ 2046
30.0%
. 1603
23.5%
: 646
 
9.5%
0 356
 
5.2%
1 234
 
3.4%
2 211
 
3.1%
% 193
 
2.8%
4 189
 
2.8%
6 165
 
2.4%
= 159
 
2.3%
Other values (20) 1022
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21900
55.3%
Hangul 17698
44.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 4388
24.8%
정 4386
24.8%
없 4386
24.8%
보 4386
24.8%
천 10
 
0.1%
순 10
 
0.1%
모 8
 
< 0.1%
스 7
 
< 0.1%
이 7
 
< 0.1%
트 5
 
< 0.1%
Other values (75) 105
 
0.6%
ASCII
ValueCountFrequency (%)
/ 2046
 
9.3%
t 1744
 
8.0%
. 1603
 
7.3%
o 1486
 
6.8%
w 1089
 
5.0%
p 982
 
4.5%
h 915
 
4.2%
a 864
 
3.9%
c 819
 
3.7%
r 783
 
3.6%
Other values (71) 9569
43.7%

블로그 주소
Text

Distinct255
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:15.460462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length4
Mean length5.6981875
Min length4

Characters and Unicode

Total characters28924
Distinct characters74
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)4.6%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 4795
94.2%
https://blog.naver.com/talk1250 3
 
0.1%
https://blog.naver.com/hindol01 3
 
0.1%
https://blog.naver.com/bhl5501 3
 
0.1%
https://blog.naver.com/mh_letstay 3
 
0.1%
3
 
0.1%
https://blog.naver.com/nky6100 2
 
< 0.1%
아델라 2
 
< 0.1%
필라테스 2
 
< 0.1%
https://blog.naver.com/saeneul2005 2
 
< 0.1%
Other values (255) 273
 
5.4%
2023-12-13T03:52:16.146414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 4795
16.6%
없 4795
16.6%
음 4795
16.6%
보 4795
16.6%
/ 889
 
3.1%
o 692
 
2.4%
t 639
 
2.2%
. 568
 
2.0%
a 440
 
1.5%
n 409
 
1.4%
Other values (64) 6107
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19216
66.4%
Lowercase Letter 6557
 
22.7%
Other Punctuation 1736
 
6.0%
Decimal Number 1345
 
4.7%
Connector Punctuation 36
 
0.1%
Space Separator 15
 
0.1%
Dash Punctuation 10
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 692
 
10.6%
t 639
 
9.7%
a 440
 
6.7%
n 409
 
6.2%
e 400
 
6.1%
s 397
 
6.1%
l 373
 
5.7%
h 363
 
5.5%
m 355
 
5.4%
c 351
 
5.4%
Other values (16) 2138
32.6%
Other Letter
ValueCountFrequency (%)
정 4795
25.0%
없 4795
25.0%
음 4795
25.0%
보 4795
25.0%
라 4
 
< 0.1%
이 3
 
< 0.1%
그 2
 
< 0.1%
로 2
 
< 0.1%
블 2
 
< 0.1%
버 2
 
< 0.1%
Other values (15) 21
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 301
22.4%
0 177
13.2%
1 148
11.0%
7 125
9.3%
4 106
 
7.9%
8 105
 
7.8%
6 102
 
7.6%
3 101
 
7.5%
5 95
 
7.1%
9 85
 
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 889
51.2%
. 568
32.7%
: 277
 
16.0%
? 1
 
0.1%
, 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19216
66.4%
Latin 6560
 
22.7%
Common 3148
 
10.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 692
 
10.5%
t 639
 
9.7%
a 440
 
6.7%
n 409
 
6.2%
e 400
 
6.1%
s 397
 
6.1%
l 373
 
5.7%
h 363
 
5.5%
m 355
 
5.4%
c 351
 
5.4%
Other values (18) 2141
32.6%
Hangul
ValueCountFrequency (%)
정 4795
25.0%
없 4795
25.0%
음 4795
25.0%
보 4795
25.0%
라 4
 
< 0.1%
이 3
 
< 0.1%
그 2
 
< 0.1%
로 2
 
< 0.1%
블 2
 
< 0.1%
버 2
 
< 0.1%
Other values (15) 21
 
0.1%
Common
ValueCountFrequency (%)
/ 889
28.2%
. 568
18.0%
2 301
 
9.6%
: 277
 
8.8%
0 177
 
5.6%
1 148
 
4.7%
7 125
 
4.0%
4 106
 
3.4%
8 105
 
3.3%
6 102
 
3.2%
Other values (11) 350
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19216
66.4%
ASCII 9708
33.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 4795
25.0%
없 4795
25.0%
음 4795
25.0%
보 4795
25.0%
라 4
 
< 0.1%
이 3
 
< 0.1%
그 2
 
< 0.1%
로 2
 
< 0.1%
블 2
 
< 0.1%
버 2
 
< 0.1%
Other values (15) 21
 
0.1%
ASCII
ValueCountFrequency (%)
/ 889
 
9.2%
o 692
 
7.1%
t 639
 
6.6%
. 568
 
5.9%
a 440
 
4.5%
n 409
 
4.2%
e 400
 
4.1%
s 397
 
4.1%
l 373
 
3.8%
h 363
 
3.7%
Other values (39) 4538
46.7%

페이스북 주소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
정보없음
5076 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 5076
100.0%

Length

2023-12-13T03:52:16.398152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:16.549434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 5076
100.0%

인스타 주소
Text

Distinct326
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:16.813927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length4
Mean length6.714736
Min length4

Characters and Unicode

Total characters34084
Distinct characters113
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)5.7%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 4696
91.0%
16
 
0.3%
instagram 14
 
0.3%
동영상 13
 
0.3%
사진 13
 
0.3%
및 13
 
0.3%
https://www.instagram.com/gs25_official 9
 
0.2%
https://www.instagram.com/baskinrobbinskorea 7
 
0.1%
https://www.instagram.com/ediya.coffee 4
 
0.1%
https://www.instagram.com/lotteria_kr 4
 
0.1%
Other values (329) 370
 
7.2%
2023-12-13T03:52:17.430766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
없 4697
13.8%
정 4696
13.8%
음 4696
13.8%
보 4696
13.8%
/ 1306
 
3.8%
t 1264
 
3.7%
a 1190
 
3.5%
w 973
 
2.9%
s 917
 
2.7%
m 902
 
2.6%
Other values (103) 8747
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18915
55.5%
Lowercase Letter 11710
34.4%
Other Punctuation 2591
 
7.6%
Connector Punctuation 344
 
1.0%
Decimal Number 289
 
0.8%
Uppercase Letter 106
 
0.3%
Space Separator 83
 
0.2%
Math Symbol 18
 
0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
없 4697
24.8%
정 4696
24.8%
음 4696
24.8%
보 4696
24.8%
상 13
 
0.1%
영 13
 
0.1%
동 13
 
0.1%
및 13
 
0.1%
진 13
 
0.1%
사 13
 
0.1%
Other values (32) 52
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
t 1264
10.8%
a 1190
 
10.2%
w 973
 
8.3%
s 917
 
7.8%
m 902
 
7.7%
o 772
 
6.6%
n 734
 
6.3%
i 709
 
6.1%
c 613
 
5.2%
r 580
 
5.0%
Other values (16) 3056
26.1%
Uppercase Letter
ValueCountFrequency (%)
I 17
16.0%
C 15
14.2%
E 15
14.2%
A 10
9.4%
B 8
 
7.5%
Y 4
 
3.8%
P 4
 
3.8%
D 4
 
3.8%
M 3
 
2.8%
O 3
 
2.8%
Other values (12) 23
21.7%
Decimal Number
ValueCountFrequency (%)
2 50
17.3%
9 45
15.6%
1 40
13.8%
5 37
12.8%
8 35
12.1%
0 23
8.0%
4 21
7.3%
3 14
 
4.8%
7 12
 
4.2%
6 12
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 1306
50.4%
. 751
29.0%
: 363
 
14.0%
? 126
 
4.9%
% 31
 
1.2%
@ 13
 
0.5%
& 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 344
100.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18915
55.5%
Latin 11816
34.7%
Common 3353
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1264
 
10.7%
a 1190
 
10.1%
w 973
 
8.2%
s 917
 
7.8%
m 902
 
7.6%
o 772
 
6.5%
n 734
 
6.2%
i 709
 
6.0%
c 613
 
5.2%
r 580
 
4.9%
Other values (38) 3162
26.8%
Hangul
ValueCountFrequency (%)
없 4697
24.8%
정 4696
24.8%
음 4696
24.8%
보 4696
24.8%
상 13
 
0.1%
영 13
 
0.1%
동 13
 
0.1%
및 13
 
0.1%
진 13
 
0.1%
사 13
 
0.1%
Other values (32) 52
 
0.3%
Common
ValueCountFrequency (%)
/ 1306
39.0%
. 751
22.4%
: 363
 
10.8%
_ 344
 
10.3%
? 126
 
3.8%
83
 
2.5%
2 50
 
1.5%
9 45
 
1.3%
1 40
 
1.2%
5 37
 
1.1%
Other values (13) 208
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18915
55.5%
ASCII 15169
44.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
없 4697
24.8%
정 4696
24.8%
음 4696
24.8%
보 4696
24.8%
상 13
 
0.1%
영 13
 
0.1%
동 13
 
0.1%
및 13
 
0.1%
진 13
 
0.1%
사 13
 
0.1%
Other values (32) 52
 
0.3%
ASCII
ValueCountFrequency (%)
/ 1306
 
8.6%
t 1264
 
8.3%
a 1190
 
7.8%
w 973
 
6.4%
s 917
 
6.0%
m 902
 
5.9%
o 772
 
5.1%
. 751
 
5.0%
n 734
 
4.8%
i 709
 
4.7%
Other values (61) 5651
37.3%

네이버평점
Text

Distinct191
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T03:52:17.834945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.9596139
Min length1

Characters and Unicode

Total characters9947
Distinct characters12
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

Unique49 ?
Unique (%)1.0%

Sample

1st row4.03
2nd row0
3rd row0
4th row0
5th row4.41/5.0
ValueCountFrequency (%)
0 3520
69.3%
4.5 65
 
1.3%
4.48 43
 
0.8%
4.35 43
 
0.8%
4.38 42
 
0.8%
4.36 35
 
0.7%
4.34 33
 
0.7%
4.42 32
 
0.6%
4.45 32
 
0.6%
4.39 30
 
0.6%
Other values (181) 1201
 
23.7%
2023-12-13T03:52:18.527946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3706
37.3%
4 1918
19.3%
. 1645
16.5%
5 560
 
5.6%
3 555
 
5.6%
2 321
 
3.2%
6 277
 
2.8%
8 241
 
2.4%
1 216
 
2.2%
7 198
 
2.0%
Other values (2) 310
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8178
82.2%
Other Punctuation 1769
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3706
45.3%
4 1918
23.5%
5 560
 
6.8%
3 555
 
6.8%
2 321
 
3.9%
6 277
 
3.4%
8 241
 
2.9%
1 216
 
2.6%
7 198
 
2.4%
9 186
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1645
93.0%
/ 124
 
7.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3706
37.3%
4 1918
19.3%
. 1645
16.5%
5 560
 
5.6%
3 555
 
5.6%
2 321
 
3.2%
6 277
 
2.8%
8 241
 
2.4%
1 216
 
2.2%
7 198
 
2.0%
Other values (2) 310
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3706
37.3%
4 1918
19.3%
. 1645
16.5%
5 560
 
5.6%
3 555
 
5.6%
2 321
 
3.2%
6 277
 
2.8%
8 241
 
2.4%
1 216
 
2.2%
7 198
 
2.0%
Other values (2) 310
 
3.1%

최종 작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2022-11-21
5076 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-21
2nd row2022-11-21
3rd row2022-11-21
4th row2022-11-21
5th row2022-11-21

Common Values

ValueCountFrequency (%)
2022-11-21 5076
100.0%

Length

2023-12-13T03:52:18.759152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:18.941649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-21 5076
100.0%

Sample

시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일홈페이지블로그 주소페이스북 주소인스타 주소네이버평점최종 작성일
069모텔<NA>숙박업모텔전라남도순천시연향동<NA>1329-10 번지연향상가5길3 번34.953302127.52079157967전라남도 순천시 연향상가5길 3전라남도 순천시 연향동 1329-10061-723-191100:00-24:00연중무휴https://www.goodchoice.kr/search/detailView/3680정보없음정보없음정보없음4.032022-11-21
1007노래방<NA>다중이용시설노래방전라남도순천시연향동<NA>1348-1 번지연향3로2 번34.950276127.51631757978전라남도 순천시 연향3로 2전라남도 순천시 연향동 1348-1061-725-7780확인불가확인불가정보없음정보없음정보없음정보없음02022-11-21
21도씨맥주호반점음식점맥주전라남도순천시연향동<NA>1610-7 번지안산길18 번34.93949127.52701858003전라남도 순천시 안산길 18전라남도 순천시 연향동 1610-7061-742-0488확인불가확인불가정보없음정보없음정보없음정보없음02022-11-21
3187에어컨공조<NA>공조설비에어컨공조전라남도순천시동외동<NA>7-3 번지감사터3길51 번34.958628127.48842457939전라남도 순천시 감사터3길 51전라남도 순천시 동외동 7-3<NA>10:00-22:00확인불가정보없음정보없음정보없음정보없음02022-11-21
41도씨맥주&치킨연향점음식점맥주,호프전라남도순천시연향동<NA>1464-3 번지기적의도서관길36 번34.947905127.5260557986전라남도 순천시 기적의도서관길 36전라남도 순천시 연향동 1464-3061-724-580016:00-02:00확인불가정보없음정보없음정보없음정보없음4.41/5.02022-11-21
5일억조<NA>음식점한정식전라남도순천시금곡동<NA>181-3 번지공마당길25 번34.954459127.47850657941전라남도 순천시 공마당길 25전라남도 순천시 금곡동 181-3061-752-466611:00-21:00일요일정보없음https://blog.naver.com/bhl5501정보없음정보없음02022-11-21
62000노래연습장<NA>다중이용시설노래연습장전라남도순천시연향동<NA>1479-6 번지기적의도서관길12 번34.947868127.5237557986전라남도 순천시 기적의도서관길 12전라남도 순천시 연향동 1479-6061-725-1422확인불가확인불가정보없음정보없음정보없음정보없음02022-11-21
721세기유통<NA>유통유통전라남도순천시영동<NA>55 번지옥천길58 번34.953492127.48159557941전라남도 순천시 옥천길 58전라남도 순천시 영동 55061-752-3393확인불가확인불가정보없음정보없음정보없음정보없음02022-11-21
824게스트하우스<NA>숙박업게스트하우스전라남도순천시조곡동<NA>157-15 번지역전광장3길44 번34.945491127.49973457962전라남도 순천시 역전광장3길 44전라남도 순천시 조곡동 157-15061-746-2700입실 15:00,퇴실 11:00확인불가https://site.onda.me/127733정보없음정보없음정보없음4.712022-11-21
924번수산<NA>음식점수산물전라남도순천시풍덕동<NA>865-24 번지풍덕주택길35 번34.943223127.50293957963전라남도 순천시 풍덕주택길 35전라남도 순천시 풍덕동 865-24061-745-9409확인불가확인불가정보없음정보없음정보없음정보없음4.22022-11-21
시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일홈페이지블로그 주소페이스북 주소인스타 주소네이버평점최종 작성일
5066탑클래스미술학원<NA>학원미술학원전라남도순천시장천동<NA>60-2 번지시민로7 번34.950424127.48570357956전라남도 순천시 시민로 7 2층 애니스타 만화학원전라남도 순천시 장천동 60-2확인불가14:00-22:00확인불가정보없음정보없음정보없음정보없음02022-11-21
5067캘리디자인공감<NA>학원전문디자인전라남도순천시장천동<NA>45-1 번지강남로71 번34.951624127.48963557956전라남도 순천시 강남로 71 3층 캘리디자인공감전라남도 순천시 장천동 45-1 3층0507-1416-4785확인불가확인불가정보없음https://blog.naver.com/mgm0024정보없음https://www.instagram.com/suncheon_gongam/02022-11-21
5068미술재미 순천교육원<NA>학원미술학원전라남도순천시인제동<NA>372-8 번지장평안길17 번34.945055127.49372157959전라남도 순천시 장평안길 17 미술재미전라남도 순천시 인제동 372-8확인불가12:00-19:00확인불가정보없음정보없음정보없음정보없음02022-11-21
5069좋은샘학원<NA>학원교습학원,교습소전라남도순천시인제동<NA>29-79 번지하인제길7 번34.944266127.48875457959전라남도 순천시 하인제길 7전라남도 순천시 인제동 29-79061-908-557411:00-20:00확인불가정보없음정보없음정보없음정보없음02022-11-21
5070순천성남푸르넷영쌤<NA>학원학습지전라남도순천시인제동<NA>29-74 번지하인제길3-1 번34.944347127.48842457959전라남도 순천시 하인제길 3-1전라남도 순천시 인제동 29-74061-742-7427확인불가확인불가정보없음정보없음정보없음정보없음4.752022-11-21
5071유진피아노<NA>학원피아노전라남도순천시남정동<NA>527-23 번지성남뒷길99 번34.94264127.49043557959전라남도 순천시 성남뒷길 99 오렌지분식전라남도 순천시 남정동 527-23061-744-995112:00-20:30확인불가정보없음정보없음정보없음정보없음02022-11-21
5072한올뷰티아카데미순천 남정점학원작업,기술학원전라남도순천시남정동<NA>532 번지방아실길22 번34.941722127.48993957959전라남도 순천시 방아실길 22 1층전라남도 순천시 남정동 532확인불가10:00-22:00연중무휴정보없음https://blog.naver.com/kkoyam12정보없음https://www.instagram.com/hanolbeauty_suncheon02022-11-21
5073서일어학원순천 남정점학원영어학원전라남도순천시남정동<NA>529-1 번지성남앞길4 번34.94226127.48862557959전라남도 순천시 성남앞길 4 율곡아이네트전라남도 순천시 남정동 529-1확인불가확인불가확인불가정보없음정보없음정보없음정보없음02022-11-21
5074지앤비어학원순천 남산점학원영어학원전라남도순천시남정동<NA>535-7 번지남산로19-1 번34.940016127.49068657959전라남도 순천시 남산로 19-1전라남도 순천시 남정동 535-7061-744-111913:00-21:00연중무휴정보없음정보없음정보없음정보없음02022-11-21
5075뉴탑학원<NA>학원입시학원전라남도순천시인제동<NA>55-17 번지우석로197 번34.946289127.487857958전라남도 순천시 우석로 197 여로빌딩전라남도 순천시 인제동 55-17061-745-003314:00-22:00확인불가정보없음정보없음정보없음정보없음02022-11-21

Duplicate rows

Most frequently occurring

시설명분점명목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호운영시간휴무일홈페이지블로그 주소페이스북 주소인스타 주소네이버평점최종 작성일# duplicates
0기아자동차연향대리점도,소매업전시,판매전라남도순천시연향동<NA>1433-3 번지충효로101 번34.947897127.51472357991전라남도 순천시 충효로 101전라남도 순천시 연향동 1433-3061-722-570009:00-20:00확인불가http://www.kia.com/정보없음정보없음정보없음02022-11-212
1똘이<NA>도,소매업기업전라남도순천시남내동<NA>83-1 번지황금1길2-1 번34.953542127.48506857942전라남도 순천시 황금1길 2-1전라남도 순천시 남내동 83-1061-752-0097확인불가확인불가정보없음정보없음정보없음정보없음02022-11-212
2일일정육점<NA>도,소매업정육점전라남도순천시남내동<NA>112-7 번지중앙시장길21 번34.953422127.48514157942전라남도 순천시 중앙시장길 21전라남도 순천시 남내동 112-7061-752-6912확인불가확인불가정보없음정보없음정보없음정보없음02022-11-212
3중앙금방<NA>도,소매업귀금속전라남도순천시중앙동<NA>80-1 번지중앙7길5-1 번34.955632127.4848657942전라남도 순천시 중앙7길 5-1전라남도 순천시 중앙동 80-1061-752-2994확인불가확인불가정보없음정보없음정보없음정보없음02022-11-212
4총각상회<NA>도,소매업근무복,작업복전라남도순천시중앙동<NA>1-4 번지중앙로130 번34.957157127.4848257942전라남도 순천시 중앙로 130전라남도 순천시 중앙동 1-4061-752-2555확인불가확인불가정보없음정보없음정보없음정보없음4.192022-11-212
5팔마공조<NA>도,소매업행사전라남도순천시연향동<NA>1488-4 번지대석1길51-9 번34.94655127.52340157986전라남도 순천시 대석1길 51-9전라남도 순천시 연향동 1488-4061-722-2600확인불가확인불가http://0617222600.iyp.kr/정보없음정보없음정보없음02022-11-212
6한국자동차서비스<NA>도,소매업자동차정비,수리전라남도순천시연향동<NA>1432-1 번지덕연로62 번34.948533127.51298957991전라남도 순천시 덕연로 62전라남도 순천시 연향동 1432-1<NA>확인불가확인불가정보없음정보없음정보없음정보없음02022-11-212
7흰돌자동미션<NA>도,소매업자동차부품전라남도순천시덕암동<NA>222-10 번지팔마로184 번34.942453127.50700457963전라남도 순천시 팔마로 184전라남도 순천시 덕암동 222-10061-745-367708:30-19:30확인불가정보없음https://blog.naver.com/hindol01정보없음정보없음3.812022-11-212