Overview

Dataset statistics

Number of variables24
Number of observations333
Missing cells1130
Missing cells (%)14.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.5 KiB
Average record size in memory195.4 B

Variable types

Text12
Categorical8
Numeric3
DateTime1

Dataset

Description전라남도 순천시 전체의 문화예술관광지 장소 기준의 상세 정보, SNS 정보 데이터를 개방합니다. (시설명, 주소정보, 운영정보, 홈페이지, 블로그주소 등)
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15111526/fileData.do

Alerts

카테고리1 has constant value ""Constant
카테고리2 has constant value ""Constant
시도 명칭 has constant value ""Constant
최종작성일 has constant value ""Constant
휴무일 is highly imbalanced (74.7%)Imbalance
블로그 주소 is highly imbalanced (91.5%)Imbalance
페이스북 주소 is highly imbalanced (93.4%)Imbalance
인스타 주소 is highly imbalanced (90.3%)Imbalance
분점명 has 329 (98.8%) missing valuesMissing
리 명칭 has 23 (6.9%) missing valuesMissing
번지 has 98 (29.4%) missing valuesMissing
도로명 이름 has 200 (60.1%) missing valuesMissing
건물 번호 has 200 (60.1%) missing valuesMissing
우편번호 has 87 (26.1%) missing valuesMissing
도로명주소 has 193 (58.0%) missing valuesMissing
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:01:45.025068
Analysis finished2023-12-12 13:01:45.984829
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct331
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:46.191148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length6.951952
Min length2

Characters and Unicode

Total characters2315
Distinct characters347
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)98.8%

Sample

1st row여닫이문학산책로
2nd row청춘베리팜
3rd row가리역터
4th row야생화단지
5th row제암산철쭉평원
ValueCountFrequency (%)
진산해수욕장 2
 
0.6%
목포해상케이블카 2
 
0.6%
까막섬상록수림 1
 
0.3%
안악해수욕장 1
 
0.3%
익금해수욕장 1
 
0.3%
분계해수욕장 1
 
0.3%
남성리해수욕장 1
 
0.3%
대풍해수욕장 1
 
0.3%
모사금해수욕장 1
 
0.3%
시아시해수욕장 1
 
0.3%
Other values (325) 325
96.4%
2023-12-12T22:01:46.645024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 141
 
6.1%
장 137
 
5.9%
수 134
 
5.8%
욕 118
 
5.1%
원 57
 
2.5%
산 47
 
2.0%
지 43
 
1.9%
리 40
 
1.7%
도 38
 
1.6%
마 31
 
1.3%
Other values (337) 1529
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2267
97.9%
Decimal Number 31
 
1.3%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Space Separator 4
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 141
 
6.2%
장 137
 
6.0%
수 134
 
5.9%
욕 118
 
5.2%
원 57
 
2.5%
산 47
 
2.1%
지 43
 
1.9%
리 40
 
1.8%
도 38
 
1.7%
마 31
 
1.4%
Other values (322) 1481
65.3%
Decimal Number
ValueCountFrequency (%)
2 14
45.2%
0 5
 
16.1%
5 3
 
9.7%
1 3
 
9.7%
3 2
 
6.5%
9 1
 
3.2%
4 1
 
3.2%
6 1
 
3.2%
8 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2267
97.9%
Common 45
 
1.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 141
 
6.2%
장 137
 
6.0%
수 134
 
5.9%
욕 118
 
5.2%
원 57
 
2.5%
산 47
 
2.1%
지 43
 
1.9%
리 40
 
1.8%
도 38
 
1.7%
마 31
 
1.4%
Other values (322) 1481
65.3%
Common
ValueCountFrequency (%)
2 14
31.1%
0 5
 
11.1%
( 5
 
11.1%
) 5
 
11.1%
4
 
8.9%
5 3
 
6.7%
1 3
 
6.7%
3 2
 
4.4%
9 1
 
2.2%
4 1
 
2.2%
Other values (2) 2
 
4.4%
Latin
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2267
97.9%
ASCII 48
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 141
 
6.2%
장 137
 
6.0%
수 134
 
5.9%
욕 118
 
5.2%
원 57
 
2.5%
산 47
 
2.1%
지 43
 
1.9%
리 40
 
1.8%
도 38
 
1.7%
마 31
 
1.4%
Other values (322) 1481
65.3%
ASCII
ValueCountFrequency (%)
2 14
29.2%
0 5
 
10.4%
( 5
 
10.4%
) 5
 
10.4%
4
 
8.3%
5 3
 
6.2%
1 3
 
6.2%
3 2
 
4.2%
9 1
 
2.1%
T 1
 
2.1%
Other values (5) 5
 
10.4%

분점명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing329
Missing (%)98.8%
Memory size2.7 KiB
2023-12-12T22:01:46.831660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5
Min length3

Characters and Unicode

Total characters20
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row유달산승강장
2nd row북항승강장
3rd row여수점
4th row해남스테이션
ValueCountFrequency (%)
유달산승강장 1
25.0%
북항승강장 1
25.0%
여수점 1
25.0%
해남스테이션 1
25.0%
2023-12-12T22:01:47.169237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
승 2
 
10.0%
강 2
 
10.0%
장 2
 
10.0%
유 1
 
5.0%
점 1
 
5.0%
이 1
 
5.0%
테 1
 
5.0%
스 1
 
5.0%
남 1
 
5.0%
해 1
 
5.0%
Other values (7) 7
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
승 2
 
10.0%
강 2
 
10.0%
장 2
 
10.0%
유 1
 
5.0%
점 1
 
5.0%
이 1
 
5.0%
테 1
 
5.0%
스 1
 
5.0%
남 1
 
5.0%
해 1
 
5.0%
Other values (7) 7
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
승 2
 
10.0%
강 2
 
10.0%
장 2
 
10.0%
유 1
 
5.0%
점 1
 
5.0%
이 1
 
5.0%
테 1
 
5.0%
스 1
 
5.0%
남 1
 
5.0%
해 1
 
5.0%
Other values (7) 7
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
승 2
 
10.0%
강 2
 
10.0%
장 2
 
10.0%
유 1
 
5.0%
점 1
 
5.0%
이 1
 
5.0%
테 1
 
5.0%
스 1
 
5.0%
남 1
 
5.0%
해 1
 
5.0%
Other values (7) 7
35.0%

카테고리1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
문화관광/명소
333 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화관광/명소
2nd row문화관광/명소
3rd row문화관광/명소
4th row문화관광/명소
5th row문화관광/명소

Common Values

ValueCountFrequency (%)
문화관광/명소 333
100.0%

Length

2023-12-12T22:01:47.331281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:01:47.439226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화관광/명소 333
100.0%

카테고리2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
관광지
333 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광지 333
100.0%

Length

2023-12-12T22:01:47.551299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:01:47.650257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광지 333
100.0%

시도 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
전남
333 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남 333
100.0%

Length

2023-12-12T22:01:47.741249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:01:47.880783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남 333
100.0%

시군구 명칭
Categorical

Distinct22
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
신안군
49 
여수시
36 
완도군
32 
고흥군
25 
해남군
20 
Other values (17)
171 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장흥군
2nd row담양군
3rd row함평군
4th row신안군
5th row장흥군

Common Values

ValueCountFrequency (%)
신안군 49
14.7%
여수시 36
 
10.8%
완도군 32
 
9.6%
고흥군 25
 
7.5%
해남군 20
 
6.0%
진도군 18
 
5.4%
구례군 15
 
4.5%
담양군 13
 
3.9%
영암군 12
 
3.6%
순천시 11
 
3.3%
Other values (12) 102
30.6%

Length

2023-12-12T22:01:47.992589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신안군 49
14.7%
여수시 36
 
10.8%
완도군 32
 
9.6%
고흥군 25
 
7.5%
해남군 20
 
6.0%
진도군 18
 
5.4%
구례군 15
 
4.5%
담양군 13
 
3.9%
영암군 12
 
3.6%
순천시 11
 
3.3%
Other values (12) 102
30.6%

법정읍면동명칭
Text

Distinct152
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:48.332504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.981982
Min length2

Characters and Unicode

Total characters993
Distinct characters137
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)23.1%

Sample

1st row안양면
2nd row고서면
3rd row신광면
4th row흑산면
5th row장흥읍
ValueCountFrequency (%)
조도면 10
 
3.0%
자은면 9
 
2.7%
담양읍 8
 
2.4%
흑산면 8
 
2.4%
삼산면 7
 
2.1%
청산면 6
 
1.8%
비금면 6
 
1.8%
송지면 6
 
1.8%
돌산읍 6
 
1.8%
산동면 6
 
1.8%
Other values (142) 261
78.4%
2023-12-12T22:01:48.852194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 256
25.8%
산 57
 
5.7%
읍 54
 
5.4%
도 34
 
3.4%
동 34
 
3.4%
금 19
 
1.9%
양 17
 
1.7%
화 14
 
1.4%
자 13
 
1.3%
지 13
 
1.3%
Other values (127) 482
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 993
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 256
25.8%
산 57
 
5.7%
읍 54
 
5.4%
도 34
 
3.4%
동 34
 
3.4%
금 19
 
1.9%
양 17
 
1.7%
화 14
 
1.4%
자 13
 
1.3%
지 13
 
1.3%
Other values (127) 482
48.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 993
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 256
25.8%
산 57
 
5.7%
읍 54
 
5.4%
도 34
 
3.4%
동 34
 
3.4%
금 19
 
1.9%
양 17
 
1.7%
화 14
 
1.4%
자 13
 
1.3%
지 13
 
1.3%
Other values (127) 482
48.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 993
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 256
25.8%
산 57
 
5.7%
읍 54
 
5.4%
도 34
 
3.4%
동 34
 
3.4%
금 19
 
1.9%
양 17
 
1.7%
화 14
 
1.4%
자 13
 
1.3%
지 13
 
1.3%
Other values (127) 482
48.5%

리 명칭
Text

MISSING 

Distinct232
Distinct (%)74.8%
Missing23
Missing (%)6.9%
Memory size2.7 KiB
2023-12-12T22:01:49.200068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0354839
Min length2

Characters and Unicode

Total characters941
Distinct characters144
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)57.7%

Sample

1st row사촌리
2nd row동운리
3rd row가덕리
4th row진리
5th row금산리
ValueCountFrequency (%)
학동리 8
 
2.6%
송호리 5
 
1.6%
우이도리 4
 
1.3%
가사도리 4
 
1.3%
백산리 4
 
1.3%
이흑암리 3
 
1.0%
낭도리 3
 
1.0%
대초리 3
 
1.0%
둔전리 3
 
1.0%
오지리 3
 
1.0%
Other values (222) 270
87.1%
2023-12-12T22:01:49.669182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 310
32.9%
도 28
 
3.0%
산 27
 
2.9%
동 23
 
2.4%
대 17
 
1.8%
송 15
 
1.6%
천 14
 
1.5%
신 13
 
1.4%
사 12
 
1.3%
월 11
 
1.2%
Other values (134) 471
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 310
32.9%
도 28
 
3.0%
산 27
 
2.9%
동 23
 
2.4%
대 17
 
1.8%
송 15
 
1.6%
천 14
 
1.5%
신 13
 
1.4%
사 12
 
1.3%
월 11
 
1.2%
Other values (134) 471
50.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 310
32.9%
도 28
 
3.0%
산 27
 
2.9%
동 23
 
2.4%
대 17
 
1.8%
송 15
 
1.6%
천 14
 
1.5%
신 13
 
1.4%
사 12
 
1.3%
월 11
 
1.2%
Other values (134) 471
50.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 310
32.9%
도 28
 
3.0%
산 27
 
2.9%
동 23
 
2.4%
대 17
 
1.8%
송 15
 
1.6%
천 14
 
1.5%
신 13
 
1.4%
사 12
 
1.3%
월 11
 
1.2%
Other values (134) 471
50.1%

번지
Text

MISSING 

Distinct225
Distinct (%)95.7%
Missing98
Missing (%)29.4%
Memory size2.7 KiB
2023-12-12T22:01:50.093748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.5148936
Min length4

Characters and Unicode

Total characters1766
Distinct characters15
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

Unique215 ?
Unique (%)91.5%

Sample

1st row30 번지
2nd row232-3 번지
3rd row153-9 번지
4th row산36-2 번지
5th row17 번지
ValueCountFrequency (%)
번지 235
50.0%
770-5 2
 
0.4%
산70-1 2
 
0.4%
538 2
 
0.4%
549 2
 
0.4%
산9 2
 
0.4%
264-38 2
 
0.4%
산17 2
 
0.4%
55-3 2
 
0.4%
산114 2
 
0.4%
Other values (216) 217
46.2%
2023-12-12T22:01:50.673133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
13.3%
번 235
13.3%
지 235
13.3%
1 208
11.8%
- 139
7.9%
2 97
 
5.5%
3 81
 
4.6%
5 79
 
4.5%
7 76
 
4.3%
산 74
 
4.2%
Other values (5) 307
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
48.0%
Other Letter 544
30.8%
Space Separator 235
 
13.3%
Dash Punctuation 139
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 208
24.5%
2 97
11.4%
3 81
 
9.6%
5 79
 
9.3%
7 76
 
9.0%
4 73
 
8.6%
6 67
 
7.9%
0 59
 
7.0%
9 56
 
6.6%
8 52
 
6.1%
Other Letter
ValueCountFrequency (%)
번 235
43.2%
지 235
43.2%
산 74
 
13.6%
Space Separator
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1222
69.2%
Hangul 544
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
235
19.2%
1 208
17.0%
- 139
11.4%
2 97
7.9%
3 81
 
6.6%
5 79
 
6.5%
7 76
 
6.2%
4 73
 
6.0%
6 67
 
5.5%
0 59
 
4.8%
Other values (2) 108
8.8%
Hangul
ValueCountFrequency (%)
번 235
43.2%
지 235
43.2%
산 74
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1222
69.2%
Hangul 544
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
19.2%
1 208
17.0%
- 139
11.4%
2 97
7.9%
3 81
 
6.6%
5 79
 
6.5%
7 76
 
6.2%
4 73
 
6.0%
6 67
 
5.5%
0 59
 
4.8%
Other values (2) 108
8.8%
Hangul
ValueCountFrequency (%)
번 235
43.2%
지 235
43.2%
산 74
 
13.6%

도로명 이름
Text

MISSING 

Distinct111
Distinct (%)83.5%
Missing200
Missing (%)60.1%
Memory size2.7 KiB
2023-12-12T22:01:51.059302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.0451128
Min length3

Characters and Unicode

Total characters538
Distinct characters155
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)70.7%

Sample

1st row흑산일주로
2nd row메타세쿼이아로
3rd row촌곡길
4th row무지개길
5th row우수영안길
ValueCountFrequency (%)
메타세쿼이아로 5
 
3.8%
왕인로 3
 
2.3%
섬진강로 3
 
2.3%
천마로 2
 
1.5%
김삿갓로 2
 
1.5%
안양산로 2
 
1.5%
기찬랜드로 2
 
1.5%
관광레저로 2
 
1.5%
민속마을길 2
 
1.5%
기차마을로 2
 
1.5%
Other values (101) 108
81.2%
2023-12-12T22:01:51.572403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 70
 
13.0%
로 65
 
12.1%
산 18
 
3.3%
대 14
 
2.6%
1 12
 
2.2%
동 8
 
1.5%
천 8
 
1.5%
마 8
 
1.5%
수 7
 
1.3%
안 7
 
1.3%
Other values (145) 321
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
97.0%
Decimal Number 16
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 70
 
13.4%
로 65
 
12.5%
산 18
 
3.4%
대 14
 
2.7%
동 8
 
1.5%
천 8
 
1.5%
마 8
 
1.5%
수 7
 
1.3%
안 7
 
1.3%
도 7
 
1.3%
Other values (141) 310
59.4%
Decimal Number
ValueCountFrequency (%)
1 12
75.0%
3 2
 
12.5%
4 1
 
6.2%
6 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
97.0%
Common 16
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 70
 
13.4%
로 65
 
12.5%
산 18
 
3.4%
대 14
 
2.7%
동 8
 
1.5%
천 8
 
1.5%
마 8
 
1.5%
수 7
 
1.3%
안 7
 
1.3%
도 7
 
1.3%
Other values (141) 310
59.4%
Common
ValueCountFrequency (%)
1 12
75.0%
3 2
 
12.5%
4 1
 
6.2%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
97.0%
ASCII 16
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 70
 
13.4%
로 65
 
12.5%
산 18
 
3.4%
대 14
 
2.7%
동 8
 
1.5%
천 8
 
1.5%
마 8
 
1.5%
수 7
 
1.3%
안 7
 
1.3%
도 7
 
1.3%
Other values (141) 310
59.4%
ASCII
ValueCountFrequency (%)
1 12
75.0%
3 2
 
12.5%
4 1
 
6.2%
6 1
 
6.2%

건물 번호
Text

MISSING 

Distinct115
Distinct (%)86.5%
Missing200
Missing (%)60.1%
Memory size2.7 KiB
2023-12-12T22:01:51.838436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.5413534
Min length3

Characters and Unicode

Total characters737
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

Unique101 ?
Unique (%)75.9%

Sample

1st row491 번
2nd row47 번
3rd row66 번
4th row292 번
5th row80-1 번
ValueCountFrequency (%)
번 133
50.0%
12 3
 
1.1%
353 3
 
1.1%
40 3
 
1.1%
47 3
 
1.1%
212 2
 
0.8%
160 2
 
0.8%
65 2
 
0.8%
55 2
 
0.8%
440 2
 
0.8%
Other values (106) 111
41.7%
2023-12-12T22:01:52.262398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.0%
번 133
18.0%
1 88
11.9%
2 61
8.3%
3 45
 
6.1%
4 44
 
6.0%
6 40
 
5.4%
- 40
 
5.4%
0 37
 
5.0%
5 34
 
4.6%
Other values (3) 82
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
58.5%
Space Separator 133
 
18.0%
Other Letter 133
 
18.0%
Dash Punctuation 40
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 88
20.4%
2 61
14.2%
3 45
10.4%
4 44
10.2%
6 40
9.3%
0 37
8.6%
5 34
 
7.9%
7 32
 
7.4%
9 27
 
6.3%
8 23
 
5.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Other Letter
ValueCountFrequency (%)
번 133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 604
82.0%
Hangul 133
 
18.0%

Most frequent character per script

Common
ValueCountFrequency (%)
133
22.0%
1 88
14.6%
2 61
10.1%
3 45
 
7.5%
4 44
 
7.3%
6 40
 
6.6%
- 40
 
6.6%
0 37
 
6.1%
5 34
 
5.6%
7 32
 
5.3%
Other values (2) 50
 
8.3%
Hangul
ValueCountFrequency (%)
번 133
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 604
82.0%
Hangul 133
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
22.0%
1 88
14.6%
2 61
10.1%
3 45
 
7.5%
4 44
 
7.3%
6 40
 
6.6%
- 40
 
6.6%
0 37
 
6.1%
5 34
 
5.6%
7 32
 
5.3%
Other values (2) 50
 
8.3%
Hangul
ValueCountFrequency (%)
번 133
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.80448
Minimum125.09611
Maximum127.8128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T22:01:52.414289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.09611
5-th percentile125.93248
Q1126.3673
median126.80357
Q3127.31992
95-th percentile127.71334
Maximum127.8128
Range2.716689
Interquartile range (IQR)0.952617

Descriptive statistics

Standard deviation0.59115833
Coefficient of variation (CV)0.0046619671
Kurtosis-0.5757217
Mean126.80448
Median Absolute Deviation (MAD)0.470229
Skewness-0.22004212
Sum42225.893
Variance0.34946817
MonotonicityNot monotonic
2023-12-12T22:01:52.563939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.019975 1
 
0.3%
125.991973 1
 
0.3%
126.861836 1
 
0.3%
126.390294 1
 
0.3%
126.505462 1
 
0.3%
126.90371 1
 
0.3%
127.14565 1
 
0.3%
125.981059 1
 
0.3%
127.407303 1
 
0.3%
127.238528 1
 
0.3%
Other values (323) 323
97.0%
ValueCountFrequency (%)
125.096114 1
0.3%
125.131653 1
0.3%
125.192148 1
0.3%
125.413031 1
0.3%
125.421007 1
0.3%
125.422482 1
0.3%
125.427055 1
0.3%
125.471174 1
0.3%
125.824767 1
0.3%
125.825902 1
0.3%
ValueCountFrequency (%)
127.812803 1
0.3%
127.807053 1
0.3%
127.803841 1
0.3%
127.793206 1
0.3%
127.776837 1
0.3%
127.776299 1
0.3%
127.767069 1
0.3%
127.762082 1
0.3%
127.760999 1
0.3%
127.759505 1
0.3%

경도
Real number (ℝ)

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.766128
Minimum34.019873
Maximum35.44531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T22:01:52.695689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.019873
5-th percentile34.171909
Q134.50446
median34.759694
Q335.040351
95-th percentile35.329914
Maximum35.44531
Range1.4254366
Interquartile range (IQR)0.5358901

Descriptive statistics

Standard deviation0.35207618
Coefficient of variation (CV)0.010126989
Kurtosis-0.88735469
Mean34.766128
Median Absolute Deviation (MAD)0.2673782
Skewness0.0019812282
Sum11577.121
Variance0.12395764
MonotonicityNot monotonic
2023-12-12T22:01:52.850255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.6274987 1
 
0.3%
34.8779383 1
 
0.3%
34.1949132 1
 
0.3%
35.1403846 1
 
0.3%
34.1866 1
 
0.3%
34.2025536 1
 
0.3%
34.4299101 1
 
0.3%
34.8713504 1
 
0.3%
34.5200057 1
 
0.3%
34.2351718 1
 
0.3%
Other values (323) 323
97.0%
ValueCountFrequency (%)
34.0198732 1
0.3%
34.0495794 1
0.3%
34.0557557 1
0.3%
34.0619909 1
0.3%
34.0721014 1
0.3%
34.1201806 1
0.3%
34.125497 1
0.3%
34.1270269 1
0.3%
34.1310745 1
0.3%
34.1404731 1
0.3%
ValueCountFrequency (%)
35.4453098 1
0.3%
35.4451576 1
0.3%
35.4127501 1
0.3%
35.3992324 1
0.3%
35.3952949 1
0.3%
35.379905 1
0.3%
35.3744308 1
0.3%
35.3632779 1
0.3%
35.3615598 1
0.3%
35.3614422 1
0.3%

우편번호
Real number (ℝ)

MISSING 

Distinct209
Distinct (%)85.0%
Missing87
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean277253
Minimum1632
Maximum556905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T22:01:53.006239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1632
5-th percentile57207.25
Q158289.5
median59607
Q3535883.25
95-th percentile549910.25
Maximum556905
Range555273
Interquartile range (IQR)477593.75

Descriptive statistics

Standard deviation238557.14
Coefficient of variation (CV)0.86043121
Kurtosis-1.9828985
Mean277253
Median Absolute Deviation (MAD)2405
Skewness0.16660086
Sum68204239
Variance5.6909508 × 1010
MonotonicityNot monotonic
2023-12-12T22:01:53.137187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57351 5
 
1.5%
535895 4
 
1.2%
535872 4
 
1.2%
59004 3
 
0.9%
536912 3
 
0.9%
58434 3
 
0.9%
537822 2
 
0.6%
57531 2
 
0.6%
58426 2
 
0.6%
59353 2
 
0.6%
Other values (199) 216
64.9%
(Missing) 87
26.1%
ValueCountFrequency (%)
1632 1
0.3%
57000 1
0.3%
57009 1
0.3%
57015 1
0.3%
57067 1
0.3%
57068 1
0.3%
57113 1
0.3%
57115 1
0.3%
57137 1
0.3%
57202 2
0.6%
ValueCountFrequency (%)
556905 1
0.3%
556855 2
0.6%
556852 2
0.6%
556842 2
0.6%
556832 1
0.3%
556821 1
0.3%
556811 2
0.6%
555300 1
0.3%
550240 1
0.3%
548921 1
0.3%

도로명주소
Text

MISSING 

Distinct134
Distinct (%)95.7%
Missing193
Missing (%)58.0%
Memory size2.7 KiB
2023-12-12T22:01:53.421907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26.5
Mean length21.571429
Min length15

Characters and Unicode

Total characters3020
Distinct characters218
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)91.4%

Sample

1st row전라남도 신안군 흑산면 흑산일주로 491
2nd row전라남도 담양군 담양읍 메타세쿼이아로 47
3rd row전라남도 나주시 금천면 촌곡길 66
4th row전라남도 신안군 압해읍 무지개길 292
5th row전라남도 해남군 문내면 우수영안길 80-1
ValueCountFrequency (%)
전라남도 129
 
18.4%
전남 11
 
1.6%
구례군 10
 
1.4%
여수시 10
 
1.4%
영암군 10
 
1.4%
담양군 9
 
1.3%
순천시 8
 
1.1%
신안군 8
 
1.1%
해남군 8
 
1.1%
고흥군 7
 
1.0%
Other values (342) 491
70.0%
2023-12-12T22:01:53.826847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
561
 
18.6%
도 156
 
5.2%
남 153
 
5.1%
전 141
 
4.7%
라 131
 
4.3%
군 110
 
3.6%
1 103
 
3.4%
면 103
 
3.4%
길 78
 
2.6%
로 65
 
2.2%
Other values (208) 1419
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1945
64.4%
Space Separator 561
 
18.6%
Decimal Number 469
 
15.5%
Dash Punctuation 43
 
1.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 156
 
8.0%
남 153
 
7.9%
전 141
 
7.2%
라 131
 
6.7%
군 110
 
5.7%
면 103
 
5.3%
길 78
 
4.0%
로 65
 
3.3%
산 40
 
2.1%
시 39
 
2.0%
Other values (194) 929
47.8%
Decimal Number
ValueCountFrequency (%)
1 103
22.0%
2 64
13.6%
3 47
10.0%
4 47
10.0%
6 42
9.0%
0 39
 
8.3%
5 36
 
7.7%
7 35
 
7.5%
9 30
 
6.4%
8 26
 
5.5%
Space Separator
ValueCountFrequency (%)
561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1945
64.4%
Common 1075
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 156
 
8.0%
남 153
 
7.9%
전 141
 
7.2%
라 131
 
6.7%
군 110
 
5.7%
면 103
 
5.3%
길 78
 
4.0%
로 65
 
3.3%
산 40
 
2.1%
시 39
 
2.0%
Other values (194) 929
47.8%
Common
ValueCountFrequency (%)
561
52.2%
1 103
 
9.6%
2 64
 
6.0%
3 47
 
4.4%
4 47
 
4.4%
- 43
 
4.0%
6 42
 
3.9%
0 39
 
3.6%
5 36
 
3.3%
7 35
 
3.3%
Other values (4) 58
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
64.4%
ASCII 1075
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
561
52.2%
1 103
 
9.6%
2 64
 
6.0%
3 47
 
4.4%
4 47
 
4.4%
- 43
 
4.0%
6 42
 
3.9%
0 39
 
3.6%
5 36
 
3.3%
7 35
 
3.3%
Other values (4) 58
 
5.4%
Hangul
ValueCountFrequency (%)
도 156
 
8.0%
남 153
 
7.9%
전 141
 
7.2%
라 131
 
6.7%
군 110
 
5.7%
면 103
 
5.3%
길 78
 
4.0%
로 65
 
3.3%
산 40
 
2.1%
시 39
 
2.0%
Other values (194) 929
47.8%

지번주소
Text

Distinct307
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:54.296717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length19.531532
Min length12

Characters and Unicode

Total characters6504
Distinct characters199
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)86.2%

Sample

1st row전라남도 장흥군 안양면 사촌리 30
2nd row전라남도 담양군 고서면 동운리 232-3
3rd row전라남도 함평군 신광면 가덕리 153-9
4th row전라남도 신안군 흑산면 진리 산36-2
5th row전라남도 장흥군 장흥읍 금산리 17
ValueCountFrequency (%)
전라남도 333
 
21.7%
신안군 49
 
3.2%
여수시 36
 
2.3%
완도군 32
 
2.1%
고흥군 25
 
1.6%
해남군 20
 
1.3%
진도군 18
 
1.2%
구례군 15
 
1.0%
담양군 13
 
0.8%
영암군 12
 
0.8%
Other values (615) 984
64.0%
2023-12-12T22:01:54.871413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1204
18.5%
도 445
 
6.8%
남 374
 
5.8%
전 347
 
5.3%
라 340
 
5.2%
리 310
 
4.8%
군 268
 
4.1%
면 257
 
4.0%
1 202
 
3.1%
산 159
 
2.4%
Other values (189) 2598
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4344
66.8%
Space Separator 1204
 
18.5%
Decimal Number 817
 
12.6%
Dash Punctuation 137
 
2.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 445
 
10.2%
남 374
 
8.6%
전 347
 
8.0%
라 340
 
7.8%
리 310
 
7.1%
군 268
 
6.2%
면 257
 
5.9%
산 159
 
3.7%
시 75
 
1.7%
안 73
 
1.7%
Other values (175) 1696
39.0%
Decimal Number
ValueCountFrequency (%)
1 202
24.7%
2 96
11.8%
3 79
 
9.7%
5 77
 
9.4%
7 74
 
9.1%
4 68
 
8.3%
6 63
 
7.7%
0 58
 
7.1%
9 50
 
6.1%
8 50
 
6.1%
Space Separator
ValueCountFrequency (%)
1204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4344
66.8%
Common 2160
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 445
 
10.2%
남 374
 
8.6%
전 347
 
8.0%
라 340
 
7.8%
리 310
 
7.1%
군 268
 
6.2%
면 257
 
5.9%
산 159
 
3.7%
시 75
 
1.7%
안 73
 
1.7%
Other values (175) 1696
39.0%
Common
ValueCountFrequency (%)
1204
55.7%
1 202
 
9.4%
- 137
 
6.3%
2 96
 
4.4%
3 79
 
3.7%
5 77
 
3.6%
7 74
 
3.4%
4 68
 
3.1%
6 63
 
2.9%
0 58
 
2.7%
Other values (4) 102
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4344
66.8%
ASCII 2160
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1204
55.7%
1 202
 
9.4%
- 137
 
6.3%
2 96
 
4.4%
3 79
 
3.7%
5 77
 
3.6%
7 74
 
3.4%
4 68
 
3.1%
6 63
 
2.9%
0 58
 
2.7%
Other values (4) 102
 
4.7%
Hangul
ValueCountFrequency (%)
도 445
 
10.2%
남 374
 
8.6%
전 347
 
8.0%
라 340
 
7.8%
리 310
 
7.1%
군 268
 
6.2%
면 257
 
5.9%
산 159
 
3.7%
시 75
 
1.7%
안 73
 
1.7%
Other values (175) 1696
39.0%

전화번호
Text

Distinct118
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:55.131513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length7.012012
Min length4

Characters and Unicode

Total characters2335
Distinct characters15
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

Unique111 ?
Unique (%)33.3%

Sample

1st row정보없음
2nd row0507-1471-1802
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 208
62.5%
061-690-7362 4
 
1.2%
061-380-3086 2
 
0.6%
061-530-5544 2
 
0.6%
061-550-6921 2
 
0.6%
061-550-5423 2
 
0.6%
061-244-2600 2
 
0.6%
061-320-2591 1
 
0.3%
061-275-5231 1
 
0.3%
061-654-5545 1
 
0.3%
Other values (108) 108
32.4%
2023-12-12T22:01:55.526236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 261
11.2%
- 247
10.6%
정 208
8.9%
보 208
8.9%
없 208
8.9%
음 208
8.9%
6 200
8.6%
1 191
8.2%
5 118
 
5.1%
3 106
 
4.5%
Other values (5) 380
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1256
53.8%
Other Letter 832
35.6%
Dash Punctuation 247
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 261
20.8%
6 200
15.9%
1 191
15.2%
5 118
9.4%
3 106
8.4%
4 85
 
6.8%
2 81
 
6.4%
8 77
 
6.1%
7 74
 
5.9%
9 63
 
5.0%
Other Letter
ValueCountFrequency (%)
정 208
25.0%
보 208
25.0%
없 208
25.0%
음 208
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1503
64.4%
Hangul 832
35.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 261
17.4%
- 247
16.4%
6 200
13.3%
1 191
12.7%
5 118
7.9%
3 106
7.1%
4 85
 
5.7%
2 81
 
5.4%
8 77
 
5.1%
7 74
 
4.9%
Hangul
ValueCountFrequency (%)
정 208
25.0%
보 208
25.0%
없 208
25.0%
음 208
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1503
64.4%
Hangul 832
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 261
17.4%
- 247
16.4%
6 200
13.3%
1 191
12.7%
5 118
7.9%
3 106
7.1%
4 85
 
5.7%
2 81
 
5.4%
8 77
 
5.1%
7 74
 
4.9%
Hangul
ValueCountFrequency (%)
정 208
25.0%
보 208
25.0%
없 208
25.0%
음 208
25.0%

휴무일
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정보없음
284 
연중무휴
30 
매주 월요일
 
7
매주 화
 
3
매주 월
 
2
Other values (7)
 
7

Length

Max length48
Median length4
Mean length4.3933934
Min length4

Unique

Unique7 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 284
85.3%
연중무휴 30
 
9.0%
매주 월요일 7
 
2.1%
매주 화 3
 
0.9%
매주 월 2
 
0.6%
휴무일 공지참조 1
 
0.3%
매주 일요일 1
 
0.3%
매주 토,일,10/03 개천절, 10/09 한글날, 10/10 대체공휴일(한글날) 휴무 1
 
0.3%
매주 일요일,10/03 개천절, 10/09 한글날, 10/10 대체공휴일(한글날) 휴무 1
 
0.3%
매주 월요일, 1월1일 등 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2023-12-12T22:01:55.672325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보없음 284
77.2%
연중무휴 30
 
8.2%
매주 17
 
4.6%
월요일 9
 
2.4%
화 3
 
0.8%
개천절 2
 
0.5%
휴무 2
 
0.5%
대체공휴일(한글날 2
 
0.5%
10/10 2
 
0.5%
한글날 2
 
0.5%
Other values (13) 15
 
4.1%

운영시간
Text

Distinct55
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:55.891719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length4
Mean length7.2252252
Min length4

Characters and Unicode

Total characters2406
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)13.2%

Sample

1st row정보없음
2nd row매일 10:00 - 16:00
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 260
52.2%
48
 
9.6%
09:00 27
 
5.4%
매일 23
 
4.6%
18:00 15
 
3.0%
17:00 6
 
1.2%
09:00-18:00 5
 
1.0%
10:00-18:00 5
 
1.0%
10:00 5
 
1.0%
00:00 4
 
0.8%
Other values (68) 100
 
20.1%
2023-12-12T22:01:56.294406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 427
17.7%
음 261
10.8%
정 260
10.8%
보 260
10.8%
없 260
10.8%
: 179
7.4%
165
 
6.9%
1 113
 
4.7%
- 71
 
3.0%
9 66
 
2.7%
Other values (55) 344
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
50.7%
Decimal Number 723
30.0%
Other Punctuation 192
 
8.0%
Space Separator 165
 
6.9%
Dash Punctuation 71
 
3.0%
Math Symbol 22
 
0.9%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 261
21.4%
정 260
21.3%
보 260
21.3%
없 260
21.3%
일 34
 
2.8%
매 29
 
2.4%
월 16
 
1.3%
절 9
 
0.7%
기 9
 
0.7%
실 6
 
0.5%
Other values (36) 75
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 427
59.1%
1 113
 
15.6%
9 66
 
9.1%
8 35
 
4.8%
2 27
 
3.7%
3 18
 
2.5%
7 16
 
2.2%
4 12
 
1.7%
5 5
 
0.7%
6 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 179
93.2%
, 12
 
6.2%
/ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 21
95.5%
∼ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
50.7%
Common 1187
49.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 261
21.4%
정 260
21.3%
보 260
21.3%
없 260
21.3%
일 34
 
2.8%
매 29
 
2.4%
월 16
 
1.3%
절 9
 
0.7%
기 9
 
0.7%
실 6
 
0.5%
Other values (36) 75
 
6.2%
Common
ValueCountFrequency (%)
0 427
36.0%
: 179
15.1%
165
 
13.9%
1 113
 
9.5%
- 71
 
6.0%
9 66
 
5.6%
8 35
 
2.9%
2 27
 
2.3%
~ 21
 
1.8%
3 18
 
1.5%
Other values (9) 65
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
50.7%
ASCII 1186
49.3%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 427
36.0%
: 179
15.1%
165
 
13.9%
1 113
 
9.5%
- 71
 
6.0%
9 66
 
5.6%
8 35
 
3.0%
2 27
 
2.3%
~ 21
 
1.8%
3 18
 
1.5%
Other values (8) 64
 
5.4%
Hangul
ValueCountFrequency (%)
음 261
21.4%
정 260
21.3%
보 260
21.3%
없 260
21.3%
일 34
 
2.8%
매 29
 
2.4%
월 16
 
1.3%
절 9
 
0.7%
기 9
 
0.7%
실 6
 
0.5%
Other values (36) 75
 
6.2%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

홈페이지
Text

Distinct52
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T22:01:56.520710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length414
Median length4
Mean length11.057057
Min length4

Characters and Unicode

Total characters3682
Distinct characters76
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

Unique49 ?
Unique (%)14.7%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 280
83.8%
https://www.railtrip.co.kr/homepage/gokseong 2
 
0.6%
http://www.damyang.go.kr/gihoo/index.damyang 2
 
0.6%
http://jangseong.fowi.or.kr 1
 
0.3%
https://www.foresttrip.go.kr/indvz/main.do?hmpgid=id02030091 1
 
0.3%
http://www.정남진수목원.kr 1
 
0.3%
https://www.suncheon.go.kr/tour/tourist/0019/0001/0001 1
 
0.3%
https://www.foresttrip.go.kr/indvz/main.do?hmpgid=id02030097 1
 
0.3%
https://www.foresttrip.go.kr/indvz/main.do?hmpgid=id02030069 1
 
0.3%
https://ysfamilyland.business.site/?utm_source=gmb&utm_medium=referral 1
 
0.3%
Other values (43) 43
 
12.9%
2023-12-12T22:01:56.887141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 281
 
7.6%
없 280
 
7.6%
음 280
 
7.6%
보 280
 
7.6%
/ 195
 
5.3%
t 183
 
5.0%
o 162
 
4.4%
. 156
 
4.2%
w 124
 
3.4%
r 123
 
3.3%
Other values (66) 1618
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1806
49.0%
Other Letter 1129
30.7%
Other Punctuation 462
 
12.5%
Decimal Number 149
 
4.0%
Uppercase Letter 65
 
1.8%
Math Symbol 46
 
1.2%
Connector Punctuation 19
 
0.5%
Dash Punctuation 5
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 183
 
10.1%
o 162
 
9.0%
w 124
 
6.9%
r 123
 
6.8%
a 114
 
6.3%
e 107
 
5.9%
h 96
 
5.3%
c 86
 
4.8%
s 86
 
4.8%
p 85
 
4.7%
Other values (16) 640
35.4%
Uppercase Letter
ValueCountFrequency (%)
A 11
16.9%
C 10
15.4%
I 9
13.8%
D 5
7.7%
E 4
 
6.2%
S 4
 
6.2%
P 3
 
4.6%
B 3
 
4.6%
F 3
 
4.6%
L 2
 
3.1%
Other values (10) 11
16.9%
Decimal Number
ValueCountFrequency (%)
0 49
32.9%
1 23
15.4%
2 21
14.1%
3 15
 
10.1%
9 10
 
6.7%
6 8
 
5.4%
8 7
 
4.7%
4 6
 
4.0%
5 5
 
3.4%
7 5
 
3.4%
Other Letter
ValueCountFrequency (%)
정 281
24.9%
없 280
24.8%
음 280
24.8%
보 280
24.8%
목 2
 
0.2%
원 2
 
0.2%
수 2
 
0.2%
진 1
 
0.1%
남 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 195
42.2%
. 156
33.8%
: 52
 
11.3%
& 30
 
6.5%
? 16
 
3.5%
% 12
 
2.6%
, 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1871
50.8%
Hangul 1129
30.7%
Common 682
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 183
 
9.8%
o 162
 
8.7%
w 124
 
6.6%
r 123
 
6.6%
a 114
 
6.1%
e 107
 
5.7%
h 96
 
5.1%
c 86
 
4.6%
s 86
 
4.6%
p 85
 
4.5%
Other values (36) 705
37.7%
Common
ValueCountFrequency (%)
/ 195
28.6%
. 156
22.9%
: 52
 
7.6%
0 49
 
7.2%
= 46
 
6.7%
& 30
 
4.4%
1 23
 
3.4%
2 21
 
3.1%
_ 19
 
2.8%
? 16
 
2.3%
Other values (11) 75
 
11.0%
Hangul
ValueCountFrequency (%)
정 281
24.9%
없 280
24.8%
음 280
24.8%
보 280
24.8%
목 2
 
0.2%
원 2
 
0.2%
수 2
 
0.2%
진 1
 
0.1%
남 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2553
69.3%
Hangul 1129
30.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 281
24.9%
없 280
24.8%
음 280
24.8%
보 280
24.8%
목 2
 
0.2%
원 2
 
0.2%
수 2
 
0.2%
진 1
 
0.1%
남 1
 
0.1%
ASCII
ValueCountFrequency (%)
/ 195
 
7.6%
t 183
 
7.2%
o 162
 
6.3%
. 156
 
6.1%
w 124
 
4.9%
r 123
 
4.8%
a 114
 
4.5%
e 107
 
4.2%
h 96
 
3.8%
c 86
 
3.4%
Other values (57) 1207
47.3%

블로그 주소
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정보없음
323 
https://blog.naver.com/ihwa66
 
1
https://blog.naver.com/woorinori201
 
1
https://blog.naver.com/hohofarm
 
1
https://blog.naver.com/neri2127900
 
1
Other values (6)
 
6

Length

Max length43
Median length4
Mean length4.9009009
Min length4

Unique

Unique10 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 323
97.0%
https://blog.naver.com/ihwa66 1
 
0.3%
https://blog.naver.com/woorinori201 1
 
0.3%
https://blog.naver.com/hohofarm 1
 
0.3%
https://blog.naver.com/neri2127900 1
 
0.3%
https://blog.naver.com/asp5300 1
 
0.3%
https://blog.naver.com/myongryangairvoyager 1
 
0.3%
https://blog.naver.com/hndrc 1
 
0.3%
https://blog.naver.com/ceo-sopoong 1
 
0.3%
https://blog.naver.com/scbaygarden 1
 
0.3%

Length

2023-12-12T22:01:57.032983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보없음 323
97.0%
https://blog.naver.com/ihwa66 1
 
0.3%
https://blog.naver.com/woorinori201 1
 
0.3%
https://blog.naver.com/hohofarm 1
 
0.3%
https://blog.naver.com/neri2127900 1
 
0.3%
https://blog.naver.com/asp5300 1
 
0.3%
https://blog.naver.com/myongryangairvoyager 1
 
0.3%
https://blog.naver.com/hndrc 1
 
0.3%
https://blog.naver.com/ceo-sopoong 1
 
0.3%
https://blog.naver.com/scbaygarden 1
 
0.3%

페이스북 주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정보없음
327 
https://www.facebook.com/mokpomarinecablecar
 
2
https://www.facebook.com/bongjoschool/
 
1
https://www.facebook.com/duryunsancablecar
 
1
https://www.facebook.com/2023gardenexpo
 
1

Length

Max length44
Median length4
Mean length4.6576577
Min length4

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 327
98.2%
https://www.facebook.com/mokpomarinecablecar 2
 
0.6%
https://www.facebook.com/bongjoschool/ 1
 
0.3%
https://www.facebook.com/duryunsancablecar 1
 
0.3%
https://www.facebook.com/2023gardenexpo 1
 
0.3%
https://www.facebook.com/uworldpark/ 1
 
0.3%

Length

2023-12-12T22:01:57.163747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:01:57.275911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 327
98.2%
https://www.facebook.com/mokpomarinecablecar 2
 
0.6%
https://www.facebook.com/bongjoschool 1
 
0.3%
https://www.facebook.com/duryunsancablecar 1
 
0.3%
https://www.facebook.com/2023gardenexpo 1
 
0.3%
https://www.facebook.com/uworldpark 1
 
0.3%

인스타 주소
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정보없음
321 
https://www.instagram.com/mmcablecar_/
 
2
https://www.instagram.com/cheongchun_berry_farm/
 
1
https://www.instagram.com/yeosu_woorinori/
 
1
https://www.instagram.com/aquaplanet_official/
 
1
Other values (7)
 
7

Length

Max length48
Median length4
Mean length5.3783784
Min length4

Unique

Unique10 ?
Unique (%)3.0%

Sample

1st row정보없음
2nd rowhttps://www.instagram.com/cheongchun_berry_farm/
3rd row정보없음
4th row정보없음
5th row정보없음

Common Values

ValueCountFrequency (%)
정보없음 321
96.4%
https://www.instagram.com/mmcablecar_/ 2
 
0.6%
https://www.instagram.com/cheongchun_berry_farm/ 1
 
0.3%
https://www.instagram.com/yeosu_woorinori/ 1
 
0.3%
https://www.instagram.com/aquaplanet_official/ 1
 
0.3%
https://www.instagram.com/myongryang_air_voyager 1
 
0.3%
https://www.instagram.com/hampyeong_ecopark/ 1
 
0.3%
http://www.instagram.com/duryunsancablecar 1
 
0.3%
https://www.instagram.com/hwasun.sopoong/ 1
 
0.3%
https://www.instagram.com/hc_familyland/ 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2023-12-12T22:01:57.652936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보없음 321
96.4%
https://www.instagram.com/mmcablecar 2
 
0.6%
https://www.instagram.com/cheongchun_berry_farm 1
 
0.3%
https://www.instagram.com/yeosu_woorinori 1
 
0.3%
https://www.instagram.com/aquaplanet_official 1
 
0.3%
https://www.instagram.com/myongryang_air_voyager 1
 
0.3%
https://www.instagram.com/hampyeong_ecopark 1
 
0.3%
http://www.instagram.com/duryunsancablecar 1
 
0.3%
https://www.instagram.com/hwasun.sopoong 1
 
0.3%
https://www.instagram.com/hc_familyland 1
 
0.3%
Other values (2) 2
 
0.6%

최종작성일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2022-11-22 00:00:00
Maximum2022-11-22 00:00:00
2023-12-12T22:01:57.740962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:01:57.816995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시설명분점명카테고리1카테고리2시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호휴무일운영시간홈페이지블로그 주소페이스북 주소인스타 주소최종작성일
0여닫이문학산책로<NA>문화관광/명소관광지전남장흥군안양면사촌리30 번지<NA><NA>127.01997534.627499529852<NA>전라남도 장흥군 안양면 사촌리 30정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
1청춘베리팜<NA>문화관광/명소관광지전남담양군고서면동운리232-3 번지<NA><NA>126.96723935.24326517862<NA>전라남도 담양군 고서면 동운리 232-30507-1471-1802휴무일 공지참조매일 10:00 - 16:00정보없음정보없음정보없음https://www.instagram.com/cheongchun_berry_farm/2022-11-22
2가리역터<NA>문화관광/명소관광지전남함평군신광면가덕리153-9 번지<NA><NA>126.49326535.132222525851<NA>전라남도 함평군 신광면 가덕리 153-9정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
3야생화단지<NA>문화관광/명소관광지전남신안군흑산면진리산36-2 번지흑산일주로491 번125.42100734.694541535917전라남도 신안군 흑산면 흑산일주로 491전라남도 신안군 흑산면 진리 산36-2정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
4제암산철쭉평원<NA>문화관광/명소관광지전남장흥군장흥읍금산리17 번지<NA><NA>126.95886234.697903529805<NA>전라남도 장흥군 장흥읍 금산리 17정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
5개구리생태공원생태관<NA>문화관광/명소관광지전남담양군담양읍학동리55-3 번지메타세쿼이아로47 번127.00660635.32522657351전라남도 담양군 담양읍 메타세쿼이아로 47전라남도 담양군 담양읍 학동리 55-3061-380-3086매주 일요일09:30-17:30정보없음정보없음정보없음정보없음2022-11-22
6이화당<NA>문화관광/명소관광지전남나주시금천면촌곡리16-12 번지촌곡길66 번126.77392435.04035158211전라남도 나주시 금천면 촌곡길 66전라남도 나주시 금천면 촌곡리 16-12정보없음연중무휴입실15:00-퇴실11:00정보없음https://blog.naver.com/ihwa66정보없음정보없음2022-11-22
7송공산하시초관<NA>문화관광/명소관광지전남신안군압해읍송공리58-21 번지무지개길292 번126.25507634.8415958822전라남도 신안군 압해읍 무지개길 292전라남도 신안군 압해읍 송공리 58-21정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
8울다피다날다<NA>문화관광/명소관광지전남해남군문내면선두리424-2 번지우수영안길80-1 번126.30972834.58897459004전라남도 해남군 문내면 우수영안길 80-1전라남도 해남군 문내면 선두리 424-2정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
9담양군에코센터<NA>문화관광/명소관광지전남담양군담양읍학동리56-2 번지메타세쿼이아로43 번127.00611435.32552557351전라남도 담양군 담양읍 메타세쿼이아로 43전라남도 담양군 담양읍 학동리 56-2061-380-3087매주 월요일매일 09:00 ~ 18:00http://www.damyang.go.kr/gihoo/index.damyang정보없음정보없음정보없음2022-11-22
시설명분점명카테고리1카테고리2시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호휴무일운영시간홈페이지블로그 주소페이스북 주소인스타 주소최종작성일
323제암산자연휴양림<NA>문화관광/명소관광지전남보성군웅치면대산리산113-1 번지대산길330 번126.98593734.69873559450전라남도 보성군 웅치면 대산길 330전라남도 보성군 웅치면 대산리 산113-1061-852-4434연중무휴00:00 - 24:00정보없음정보없음정보없음정보없음2022-11-22
324땅끝수목원<NA>문화관광/명소관광지전남해남군현산면황산리1077-6 번지<NA><NA>126.56975734.432857536912<NA>전라남도 해남군 현산면 황산리 1077-6정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
325지리산정원<NA>문화관광/명소관광지전남구례군광의면온당리산145-1 번지<NA><NA>127.4419335.288525542841<NA>전라남도 구례군 광의면 온당리 산145-1정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
326요월정원림<NA>문화관광/명소관광지전남장성군황룡면황룡리172 번지<NA><NA>126.74473735.276923515812<NA>전라남도 장성군 황룡면 황룡리 172정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
327천년의숲산림욕장<NA>문화관광/명소관광지전남신안군증도면대초리1611-1 번지<NA><NA>126.13739434.986771535821<NA>전라남도 신안군 증도면 대초리 1611-1정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
328초암정원<NA>문화관광/명소관광지전남보성군득량면오봉리산7 번지<NA><NA>127.19089134.768541546921<NA>전라남도 보성군 득량면 오봉리 산7정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
329편백힐치유의숲<NA>문화관광/명소관광지전남장성군북하면대흥리376 번지하남실길212 번126.89761135.37990557207전라남도 장성군 북하면 하남실길 212전라남도 장성군 북하면 대흥리 376정보없음정보없음14:00-12:00https://heal3001.modoo.at/?link=87w88szo정보없음정보없음정보없음2022-11-22
330국립낙안민속자연휴양림<NA>문화관광/명소관광지전남순천시낙안면동내리산3-1 번지민속마을길1600 번127.35408934.91344557918전라남도 순천시 낙안면 민속마을길 1600전라남도 순천시 낙안면 동내리 산3-1061-754-4400매주 화요일일일개장 09:00-18:00 숙박시설 15:00-12:00https://www.foresttrip.go.kr/indvz/main.do?hmpgId=0200정보없음정보없음정보없음2022-11-22
331독수정원림<NA>문화관광/명소관광지전남담양군가사문학면연천리산93-1 번지독수정길22-7 번127.02628335.1736657392전라남도 담양군 가사문학면 독수정길 22-7전라남도 담양군 가사문학면 연천리 산93-1정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22
332북병산치유의숲(2023년예정)<NA>문화관광/명소관광지전남순천시삼거동<NA>5 번지<NA><NA>127.438934.977547540020<NA>전라남도 순천시 삼거동 5정보없음정보없음정보없음정보없음정보없음정보없음정보없음2022-11-22