Overview

Dataset statistics

Number of variables19
Number of observations598
Missing cells3336
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.6 KiB
Average record size in memory155.2 B

Variable types

Text10
Categorical4
Numeric4
DateTime1

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 축제, 체험프로그램, 특산물, 무형문화자원, 문화재, 포토스팟, 공방 등 특화자원에 대한 데이터로 특화자원의 유형과 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109343/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
위도 is highly overall correlated with 수용인원수 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 주차가능수 and 1 other fieldsHigh correlation
수용인원수 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
주차가능수 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
휴무일 is highly overall correlated with 편의시설High correlation
편의시설 is highly overall correlated with 경도 and 5 other fieldsHigh correlation
휴무일 is highly imbalanced (69.3%)Imbalance
편의시설 is highly imbalanced (67.9%)Imbalance
소재지도로명주소 has 392 (65.6%) missing valuesMissing
소재지전화번호 has 388 (64.9%) missing valuesMissing
위도 has 247 (41.3%) missing valuesMissing
경도 has 252 (42.1%) missing valuesMissing
수용인원수 has 583 (97.5%) missing valuesMissing
주차가능수 has 588 (98.3%) missing valuesMissing
이용시간 has 454 (75.9%) missing valuesMissing
요금정보 has 430 (71.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:26:31.464093
Analysis finished2023-12-12 19:26:39.826096
Duration8.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Text

Distinct177
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T04:26:40.345520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.6354515
Min length4

Characters and Unicode

Total characters3370
Distinct characters142
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

Unique53 ?
Unique (%)8.9%

Sample

1st row남원1리마을
2nd row남원1리마을
3rd row남원1리마을
4th row남원2리마을
5th row남원2리마을
ValueCountFrequency (%)
성읍1리마을 30
 
5.0%
청수농촌체험휴양마을 12
 
2.0%
혼인지마을 11
 
1.8%
무릉1리마을 11
 
1.8%
광평리마을 11
 
1.8%
조수1리마을 11
 
1.8%
하례1리마을 11
 
1.8%
금악리마을 10
 
1.7%
덕수리마을 9
 
1.5%
신례2리마을 8
 
1.3%
Other values (164) 474
79.3%
2023-12-13T04:26:40.745557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 599
17.8%
을 598
17.7%
리 520
15.4%
1 118
 
3.5%
수 68
 
2.0%
2 60
 
1.8%
성 57
 
1.7%
하 50
 
1.5%
신 48
 
1.4%
읍 37
 
1.1%
Other values (132) 1215
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3144
93.3%
Decimal Number 194
 
5.8%
Space Separator 32
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 599
19.1%
을 598
19.0%
리 520
16.5%
수 68
 
2.2%
성 57
 
1.8%
하 50
 
1.6%
신 48
 
1.5%
읍 37
 
1.2%
광 32
 
1.0%
촌 28
 
0.9%
Other values (128) 1107
35.2%
Decimal Number
ValueCountFrequency (%)
1 118
60.8%
2 60
30.9%
3 16
 
8.2%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3144
93.3%
Common 226
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 599
19.1%
을 598
19.0%
리 520
16.5%
수 68
 
2.2%
성 57
 
1.8%
하 50
 
1.6%
신 48
 
1.5%
읍 37
 
1.2%
광 32
 
1.0%
촌 28
 
0.9%
Other values (128) 1107
35.2%
Common
ValueCountFrequency (%)
1 118
52.2%
2 60
26.5%
32
 
14.2%
3 16
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3144
93.3%
ASCII 226
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 599
19.1%
을 598
19.0%
리 520
16.5%
수 68
 
2.2%
성 57
 
1.8%
하 50
 
1.6%
신 48
 
1.5%
읍 37
 
1.2%
광 32
 
1.0%
촌 28
 
0.9%
Other values (128) 1107
35.2%
ASCII
ValueCountFrequency (%)
1 118
52.2%
2 60
26.5%
32
 
14.2%
3 16
 
7.1%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
서귀포시
300 
제주시
298 

Length

Max length4
Median length4
Mean length3.5016722
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 300
50.2%
제주시 298
49.8%

Length

2023-12-13T04:26:40.918118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:26:41.042826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 300
50.2%
제주시 298
49.8%

읍면동명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
남원읍
86 
애월읍
83 
한림읍
67 
한경면
58 
성산읍
55 
Other values (11)
249 

Length

Max length4
Median length3
Mean length3.0050167
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
남원읍 86
14.4%
애월읍 83
13.9%
한림읍 67
11.2%
한경면 58
9.7%
성산읍 55
9.2%
대정읍 50
8.4%
표선면 50
8.4%
안덕면 49
8.2%
구좌읍 36
6.0%
조천읍 27
 
4.5%
Other values (6) 37
6.2%

Length

2023-12-13T04:26:41.160675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원읍 86
14.4%
애월읍 83
13.9%
한림읍 67
11.2%
한경면 60
10.0%
성산읍 55
9.2%
대정읍 51
8.5%
표선면 50
8.4%
안덕면 49
8.2%
구좌읍 36
6.0%
조천읍 27
 
4.5%
Other values (4) 34
 
5.7%

행정리명
Text

Distinct175
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T04:26:41.547362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3377926
Min length2

Characters and Unicode

Total characters1996
Distinct characters123
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 (%)8.5%

Sample

1st row남원1리
2nd row남원1리
3rd row남원1리
4th row남원2리
5th row남원2리
ValueCountFrequency (%)
성읍1리 30
 
5.0%
청수리 12
 
2.0%
조수1리 11
 
1.8%
무릉1리 11
 
1.8%
광평리 11
 
1.8%
온평리 11
 
1.8%
하례1리 11
 
1.8%
금악리 10
 
1.7%
없음 9
 
1.5%
덕수리 9
 
1.5%
Other values (162) 473
79.1%
2023-12-13T04:26:42.087183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 589
29.5%
1 118
 
5.9%
2 67
 
3.4%
수 61
 
3.1%
신 61
 
3.1%
성 57
 
2.9%
하 42
 
2.1%
읍 37
 
1.9%
흥 32
 
1.6%
광 32
 
1.6%
Other values (113) 900
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1790
89.7%
Decimal Number 201
 
10.1%
Space Separator 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 589
32.9%
수 61
 
3.4%
신 61
 
3.4%
성 57
 
3.2%
하 42
 
2.3%
읍 37
 
2.1%
흥 32
 
1.8%
광 32
 
1.8%
평 28
 
1.6%
천 27
 
1.5%
Other values (109) 824
46.0%
Decimal Number
ValueCountFrequency (%)
1 118
58.7%
2 67
33.3%
3 16
 
8.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1790
89.7%
Common 206
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 589
32.9%
수 61
 
3.4%
신 61
 
3.4%
성 57
 
3.2%
하 42
 
2.3%
읍 37
 
2.1%
흥 32
 
1.8%
광 32
 
1.8%
평 28
 
1.6%
천 27
 
1.5%
Other values (109) 824
46.0%
Common
ValueCountFrequency (%)
1 118
57.3%
2 67
32.5%
3 16
 
7.8%
5
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1790
89.7%
ASCII 206
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 589
32.9%
수 61
 
3.4%
신 61
 
3.4%
성 57
 
3.2%
하 42
 
2.3%
읍 37
 
2.1%
흥 32
 
1.8%
광 32
 
1.8%
평 28
 
1.6%
천 27
 
1.5%
Other values (109) 824
46.0%
ASCII
ValueCountFrequency (%)
1 118
57.3%
2 67
32.5%
3 16
 
7.8%
5
 
2.4%

특화자원명
Text

Distinct566
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T04:26:42.337676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length46
Mean length11.040134
Min length2

Characters and Unicode

Total characters6602
Distinct characters525
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

Unique545 ?
Unique (%)91.1%

Sample

1st row남원용암해수풀장
2nd row감귤, 한라봉, 천혜향, 레드향, 황금향, 해산물
3rd row한반도 포토스팟
4th row감귤, 키위
5th row왕감귤체험농장
ValueCountFrequency (%)
감귤 89
 
5.7%
마늘 58
 
3.7%
양배추 46
 
3.0%
등 42
 
2.7%
소라 39
 
2.5%
콩 36
 
2.3%
브로콜리 36
 
2.3%
감자 33
 
2.1%
무 31
 
2.0%
성게 28
 
1.8%
Other values (677) 1112
71.7%
2023-12-13T04:26:42.746895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
956
 
14.5%
, 732
 
11.1%
감 162
 
2.5%
리 138
 
2.1%
귤 122
 
1.8%
마 104
 
1.6%
양 81
 
1.2%
체 79
 
1.2%
험 78
 
1.2%
자 76
 
1.2%
Other values (515) 4074
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4807
72.8%
Space Separator 956
 
14.5%
Other Punctuation 737
 
11.2%
Close Punctuation 32
 
0.5%
Open Punctuation 32
 
0.5%
Decimal Number 23
 
0.3%
Uppercase Letter 13
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 162
 
3.4%
리 138
 
2.9%
귤 122
 
2.5%
마 104
 
2.2%
양 81
 
1.7%
체 79
 
1.6%
험 78
 
1.6%
자 76
 
1.6%
라 74
 
1.5%
제 67
 
1.4%
Other values (485) 3826
79.6%
Uppercase Letter
ValueCountFrequency (%)
N 2
15.4%
O 2
15.4%
Z 2
15.4%
A 1
7.7%
T 1
7.7%
V 1
7.7%
I 1
7.7%
C 1
7.7%
U 1
7.7%
E 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 6
26.1%
1 4
17.4%
3 4
17.4%
4 2
 
8.7%
0 2
 
8.7%
8 2
 
8.7%
6 1
 
4.3%
7 1
 
4.3%
5 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 732
99.3%
. 3
 
0.4%
& 1
 
0.1%
' 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 31
96.9%
] 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4807
72.8%
Common 1780
 
27.0%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 162
 
3.4%
리 138
 
2.9%
귤 122
 
2.5%
마 104
 
2.2%
양 81
 
1.7%
체 79
 
1.6%
험 78
 
1.6%
자 76
 
1.6%
라 74
 
1.5%
제 67
 
1.4%
Other values (485) 3826
79.6%
Common
ValueCountFrequency (%)
956
53.7%
, 732
41.1%
) 31
 
1.7%
( 31
 
1.7%
2 6
 
0.3%
1 4
 
0.2%
3 4
 
0.2%
. 3
 
0.2%
4 2
 
0.1%
0 2
 
0.1%
Other values (8) 9
 
0.5%
Latin
ValueCountFrequency (%)
N 2
13.3%
O 2
13.3%
Z 2
13.3%
A 1
6.7%
T 1
6.7%
V 1
6.7%
n 1
6.7%
I 1
6.7%
C 1
6.7%
U 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4807
72.8%
ASCII 1795
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
956
53.3%
, 732
40.8%
) 31
 
1.7%
( 31
 
1.7%
2 6
 
0.3%
1 4
 
0.2%
3 4
 
0.2%
. 3
 
0.2%
N 2
 
0.1%
O 2
 
0.1%
Other values (20) 24
 
1.3%
Hangul
ValueCountFrequency (%)
감 162
 
3.4%
리 138
 
2.9%
귤 122
 
2.5%
마 104
 
2.2%
양 81
 
1.7%
체 79
 
1.6%
험 78
 
1.6%
자 76
 
1.6%
라 74
 
1.5%
제 67
 
1.4%
Other values (485) 3826
79.6%

특화자원유형
Text

Distinct95
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T04:26:43.028547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.5183946
Min length1

Characters and Unicode

Total characters2702
Distinct characters131
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

Unique49 ?
Unique (%)8.2%

Sample

1st row수영장
2nd row주요생산물
3rd row포토스팟
4th row주요생산물
5th row체험프로그램
ValueCountFrequency (%)
주요생산물 173
28.9%
체험프로그램 106
17.7%
오름 34
 
5.7%
문화재 31
 
5.2%
신당+유형문화재 22
 
3.7%
기념물 22
 
3.7%
축제 19
 
3.2%
유형문화재 15
 
2.5%
전통행사 10
 
1.7%
테마파크 8
 
1.3%
Other values (84) 158
26.4%
2023-12-13T04:26:43.483921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 200
 
7.4%
산 181
 
6.7%
주 174
 
6.4%
생 174
 
6.4%
요 173
 
6.4%
체 124
 
4.6%
험 124
 
4.6%
로 109
 
4.0%
그 107
 
4.0%
램 107
 
4.0%
Other values (121) 1229
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2643
97.8%
Math Symbol 46
 
1.7%
Space Separator 6
 
0.2%
Decimal Number 3
 
0.1%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 200
 
7.6%
산 181
 
6.8%
주 174
 
6.6%
생 174
 
6.6%
요 173
 
6.5%
체 124
 
4.7%
험 124
 
4.7%
로 109
 
4.1%
그 107
 
4.0%
램 107
 
4.0%
Other values (112) 1170
44.3%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
3 1
33.3%
4 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
V 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 46
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2643
97.8%
Common 56
 
2.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 200
 
7.6%
산 181
 
6.8%
주 174
 
6.6%
생 174
 
6.6%
요 173
 
6.5%
체 124
 
4.7%
험 124
 
4.7%
로 109
 
4.1%
그 107
 
4.0%
램 107
 
4.0%
Other values (112) 1170
44.3%
Common
ValueCountFrequency (%)
+ 46
82.1%
6
 
10.7%
8 1
 
1.8%
3 1
 
1.8%
4 1
 
1.8%
. 1
 
1.8%
Latin
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2643
97.8%
ASCII 59
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 200
 
7.6%
산 181
 
6.8%
주 174
 
6.6%
생 174
 
6.6%
요 173
 
6.5%
체 124
 
4.7%
험 124
 
4.7%
로 109
 
4.1%
그 107
 
4.0%
램 107
 
4.0%
Other values (112) 1170
44.3%
ASCII
ValueCountFrequency (%)
+ 46
78.0%
6
 
10.2%
8 1
 
1.7%
3 1
 
1.7%
A 1
 
1.7%
T 1
 
1.7%
V 1
 
1.7%
4 1
 
1.7%
. 1
 
1.7%

소재지도로명주소
Text

MISSING 

Distinct131
Distinct (%)63.6%
Missing392
Missing (%)65.6%
Memory size4.8 KiB
2023-12-13T04:26:43.740916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.626214
Min length21

Characters and Unicode

Total characters5279
Distinct characters154
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

Unique111 ?
Unique (%)53.9%

Sample

1st row제주특별자치도 서귀포시 남원읍 남태해안로 140
2nd row제주특별자치도 서귀포시 남원읍 태위로 522-17
3rd row제주특별자치도 서귀포시 남원읍 남위남성로 10-14
4th row제주특별자치도 서귀포시 남원읍 남위남성로 164
5th row제주특별자치도 서귀포시 남원읍 원님서로326번길 38-51
ValueCountFrequency (%)
제주특별자치도 206
19.9%
서귀포시 106
 
10.3%
제주시 100
 
9.7%
표선면 34
 
3.3%
한경면 33
 
3.2%
애월읍 33
 
3.2%
안덕면 25
 
2.4%
한림읍 19
 
1.8%
성산읍 19
 
1.8%
성읍정의현로 18
 
1.7%
Other values (223) 440
42.6%
2023-12-13T04:26:44.126276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
831
 
15.7%
주 314
 
5.9%
제 309
 
5.9%
도 214
 
4.1%
자 213
 
4.0%
치 208
 
3.9%
특 206
 
3.9%
별 206
 
3.9%
시 206
 
3.9%
로 181
 
3.4%
Other values (144) 2391
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3730
70.7%
Space Separator 831
 
15.7%
Decimal Number 682
 
12.9%
Dash Punctuation 36
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 314
 
8.4%
제 309
 
8.3%
도 214
 
5.7%
자 213
 
5.7%
치 208
 
5.6%
특 206
 
5.5%
별 206
 
5.5%
시 206
 
5.5%
로 181
 
4.9%
서 140
 
3.8%
Other values (132) 1533
41.1%
Decimal Number
ValueCountFrequency (%)
1 121
17.7%
2 90
13.2%
3 81
11.9%
5 76
11.1%
6 67
9.8%
4 65
9.5%
8 56
8.2%
0 49
7.2%
7 43
 
6.3%
9 34
 
5.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3730
70.7%
Common 1549
29.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 314
 
8.4%
제 309
 
8.3%
도 214
 
5.7%
자 213
 
5.7%
치 208
 
5.6%
특 206
 
5.5%
별 206
 
5.5%
시 206
 
5.5%
로 181
 
4.9%
서 140
 
3.8%
Other values (132) 1533
41.1%
Common
ValueCountFrequency (%)
831
53.6%
1 121
 
7.8%
2 90
 
5.8%
3 81
 
5.2%
5 76
 
4.9%
6 67
 
4.3%
4 65
 
4.2%
8 56
 
3.6%
0 49
 
3.2%
7 43
 
2.8%
Other values (2) 70
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3730
70.7%
ASCII 1549
29.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
831
53.6%
1 121
 
7.8%
2 90
 
5.8%
3 81
 
5.2%
5 76
 
4.9%
6 67
 
4.3%
4 65
 
4.2%
8 56
 
3.6%
0 49
 
3.2%
7 43
 
2.8%
Other values (2) 70
 
4.5%
Hangul
ValueCountFrequency (%)
주 314
 
8.4%
제 309
 
8.3%
도 214
 
5.7%
자 213
 
5.7%
치 208
 
5.6%
특 206
 
5.5%
별 206
 
5.5%
시 206
 
5.5%
로 181
 
4.9%
서 140
 
3.8%
Other values (132) 1533
41.1%

소재지지번주소
Text

Distinct449
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T04:26:44.412270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length30
Mean length23.103679
Min length16

Characters and Unicode

Total characters13816
Distinct characters155
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

Unique404 ?
Unique (%)67.6%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원리 91-6
2nd row제주특별자치도 서귀포시 남원읍 남원1리
3rd row제주특별자치도 서귀포시 남원읍 남원리 2379-3
4th row제주특별자치도 서귀포시 남원읍 남원2리
5th row제주특별자치도 서귀포시 남원읍 남원리 1151-1
ValueCountFrequency (%)
제주특별자치도 598
21.6%
서귀포시 300
 
10.8%
제주시 298
 
10.8%
남원읍 86
 
3.1%
애월읍 83
 
3.0%
한림읍 67
 
2.4%
한경면 60
 
2.2%
성산읍 55
 
2.0%
대정읍 51
 
1.8%
표선면 50
 
1.8%
Other values (482) 1119
40.4%
2023-12-13T04:26:44.930511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2187
 
15.8%
제 896
 
6.5%
주 896
 
6.5%
도 624
 
4.5%
자 607
 
4.4%
시 605
 
4.4%
치 598
 
4.3%
특 598
 
4.3%
별 598
 
4.3%
리 587
 
4.2%
Other values (145) 5620
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9927
71.9%
Space Separator 2187
 
15.8%
Decimal Number 1499
 
10.8%
Dash Punctuation 191
 
1.4%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 896
 
9.0%
주 896
 
9.0%
도 624
 
6.3%
자 607
 
6.1%
시 605
 
6.1%
치 598
 
6.0%
특 598
 
6.0%
별 598
 
6.0%
리 587
 
5.9%
읍 442
 
4.5%
Other values (129) 3476
35.0%
Decimal Number
ValueCountFrequency (%)
1 362
24.1%
2 196
13.1%
3 173
11.5%
5 145
9.7%
6 115
 
7.7%
0 110
 
7.3%
4 103
 
6.9%
7 99
 
6.6%
9 99
 
6.6%
8 97
 
6.5%
Space Separator
ValueCountFrequency (%)
2187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9927
71.9%
Common 3888
 
28.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 896
 
9.0%
주 896
 
9.0%
도 624
 
6.3%
자 607
 
6.1%
시 605
 
6.1%
치 598
 
6.0%
특 598
 
6.0%
별 598
 
6.0%
리 587
 
5.9%
읍 442
 
4.5%
Other values (129) 3476
35.0%
Common
ValueCountFrequency (%)
2187
56.2%
1 362
 
9.3%
2 196
 
5.0%
- 191
 
4.9%
3 173
 
4.4%
5 145
 
3.7%
6 115
 
3.0%
0 110
 
2.8%
4 103
 
2.6%
7 99
 
2.5%
Other values (5) 207
 
5.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9927
71.9%
ASCII 3889
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2187
56.2%
1 362
 
9.3%
2 196
 
5.0%
- 191
 
4.9%
3 173
 
4.4%
5 145
 
3.7%
6 115
 
3.0%
0 110
 
2.8%
4 103
 
2.6%
7 99
 
2.5%
Other values (6) 208
 
5.3%
Hangul
ValueCountFrequency (%)
제 896
 
9.0%
주 896
 
9.0%
도 624
 
6.3%
자 607
 
6.1%
시 605
 
6.1%
치 598
 
6.0%
특 598
 
6.0%
별 598
 
6.0%
리 587
 
5.9%
읍 442
 
4.5%
Other values (129) 3476
35.0%

소재지전화번호
Text

MISSING 

Distinct114
Distinct (%)54.3%
Missing388
Missing (%)64.9%
Memory size4.8 KiB
2023-12-13T04:26:45.205501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.97619
Min length7

Characters and Unicode

Total characters2515
Distinct characters11
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

Unique90 ?
Unique (%)42.9%

Sample

1st row064-764-8080
2nd row0507-1330-8687
3rd row064-764-7759
4th row0507-1417-0414
5th row0507-1370-6198
ValueCountFrequency (%)
064-710-6797 14
 
6.7%
064-710-6703 11
 
5.2%
064-772-5580 10
 
4.8%
064-792-1732 9
 
4.3%
064-710-6045 7
 
3.3%
064-773-1945 7
 
3.3%
064-784-5552 6
 
2.9%
064-120 6
 
2.9%
064-782-7445 5
 
2.4%
064-733-8181 5
 
2.4%
Other values (104) 130
61.9%
2023-12-13T04:26:45.654547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 414
16.5%
0 400
15.9%
7 344
13.7%
4 298
11.8%
6 296
11.8%
1 150
 
6.0%
2 143
 
5.7%
9 129
 
5.1%
5 117
 
4.7%
8 113
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2101
83.5%
Dash Punctuation 414
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 400
19.0%
7 344
16.4%
4 298
14.2%
6 296
14.1%
1 150
 
7.1%
2 143
 
6.8%
9 129
 
6.1%
5 117
 
5.6%
8 113
 
5.4%
3 111
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 414
16.5%
0 400
15.9%
7 344
13.7%
4 298
11.8%
6 296
11.8%
1 150
 
6.0%
2 143
 
5.7%
9 129
 
5.1%
5 117
 
4.7%
8 113
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 414
16.5%
0 400
15.9%
7 344
13.7%
4 298
11.8%
6 296
11.8%
1 150
 
6.0%
2 143
 
5.7%
9 129
 
5.1%
5 117
 
4.7%
8 113
 
4.5%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct276
Distinct (%)78.6%
Missing247
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean33.382932
Minimum33.199965
Maximum33.965134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T04:26:45.828712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.199965
5-th percentile33.250492
Q133.325113
median33.384962
Q333.444596
95-th percentile33.524157
Maximum33.965134
Range0.76516924
Interquartile range (IQR)0.11948314

Descriptive statistics

Standard deviation0.092438459
Coefficient of variation (CV)0.0027690335
Kurtosis7.326183
Mean33.382932
Median Absolute Deviation (MAD)0.05963366
Skewness1.3577109
Sum11717.409
Variance0.0085448686
MonotonicityNot monotonic
2023-12-13T04:26:46.011866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.38496243 14
 
2.3%
33.30224797 10
 
1.7%
33.27480121 9
 
1.5%
33.33718217 7
 
1.2%
33.40783569 6
 
1.0%
33.25652337 5
 
0.8%
33.32550557 5
 
0.8%
33.36185609 5
 
0.8%
33.44459609 4
 
0.7%
33.32822541 4
 
0.7%
Other values (266) 282
47.2%
(Missing) 247
41.3%
ValueCountFrequency (%)
33.19996517 1
0.2%
33.21246363 1
0.2%
33.21646069 2
0.3%
33.22149073 1
0.2%
33.22782714 2
0.3%
33.23630021 1
0.2%
33.23652899 1
0.2%
33.23706894 1
0.2%
33.24139331 1
0.2%
33.24168096 1
0.2%
ValueCountFrequency (%)
33.96513441 1
0.2%
33.95858048 1
0.2%
33.55902588 1
0.2%
33.5575253 1
0.2%
33.55741888 1
0.2%
33.55646353 1
0.2%
33.5503828 1
0.2%
33.5501523 1
0.2%
33.54980576 1
0.2%
33.54298855 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct271
Distinct (%)78.3%
Missing252
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean126.49423
Minimum126.16506
Maximum126.96827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T04:26:46.205979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16506
5-th percentile126.22676
Q1126.27819
median126.36616
Q3126.80144
95-th percentile126.91121
Maximum126.96827
Range0.803209
Interquartile range (IQR)0.52324173

Descriptive statistics

Standard deviation0.25945263
Coefficient of variation (CV)0.0020511024
Kurtosis-1.4243756
Mean126.49423
Median Absolute Deviation (MAD)0.13089625
Skewness0.51885131
Sum43767.005
Variance0.067315665
MonotonicityNot monotonic
2023-12-13T04:26:46.405875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8014973 14
 
2.3%
126.2590271 10
 
1.7%
126.2352642 9
 
1.5%
126.2285782 7
 
1.2%
126.9002536 6
 
1.0%
126.6217407 5
 
0.8%
126.255015 5
 
0.8%
126.8405473 5
 
0.8%
126.9112057 4
 
0.7%
126.3795538 4
 
0.7%
Other values (261) 277
46.3%
(Missing) 252
42.1%
ValueCountFrequency (%)
126.1650593 1
0.2%
126.16548 1
0.2%
126.1664215 1
0.2%
126.1671222 1
0.2%
126.179326 1
0.2%
126.1817094 1
0.2%
126.1819273 1
0.2%
126.1856631 1
0.2%
126.1923158 1
0.2%
126.1947378 1
0.2%
ValueCountFrequency (%)
126.9682683 1
0.2%
126.967182 1
0.2%
126.963072 1
0.2%
126.960609 1
0.2%
126.958538 1
0.2%
126.956642 1
0.2%
126.9545976 1
0.2%
126.949623 1
0.2%
126.946543 1
0.2%
126.9359467 1
0.2%

특화자원내용
Text

Distinct414
Distinct (%)69.5%
Missing2
Missing (%)0.3%
Memory size4.8 KiB
2023-12-13T04:26:46.867761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length115
Mean length34.129195
Min length4

Characters and Unicode

Total characters20341
Distinct characters817
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)68.0%

Sample

1st row남원1리 마을회에서 관리하고 있는 해수풀장
2nd row마을 주요 생산물
3rd row나무 그림자가 한반도 모양이라 한반도 앞에서 사진을 찍을 수 있는 곳
4th row마을 주요 생산물
5th row귤 따기 체험 프로그램
ValueCountFrequency (%)
마을 189
 
3.7%
주요 173
 
3.4%
생산물 171
 
3.4%
있는 96
 
1.9%
수 82
 
1.6%
체험 59
 
1.2%
있음 56
 
1.1%
제주 37
 
0.7%
곳 27
 
0.5%
등 22
 
0.4%
Other values (2964) 4179
82.1%
2023-12-13T04:26:47.546876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4499
 
22.1%
을 529
 
2.6%
이 360
 
1.8%
주 345
 
1.7%
는 329
 
1.6%
마 296
 
1.5%
, 268
 
1.3%
에 262
 
1.3%
로 261
 
1.3%
산 258
 
1.3%
Other values (807) 12934
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14965
73.6%
Space Separator 4500
 
22.1%
Decimal Number 377
 
1.9%
Other Punctuation 322
 
1.6%
Close Punctuation 46
 
0.2%
Open Punctuation 46
 
0.2%
Lowercase Letter 29
 
0.1%
Uppercase Letter 23
 
0.1%
Math Symbol 19
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 529
 
3.5%
이 360
 
2.4%
주 345
 
2.3%
는 329
 
2.2%
마 296
 
2.0%
에 262
 
1.8%
로 261
 
1.7%
산 258
 
1.7%
물 247
 
1.7%
의 236
 
1.6%
Other values (758) 11842
79.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
17.4%
C 3
13.0%
S 2
8.7%
F 2
8.7%
N 2
8.7%
T 2
8.7%
V 2
8.7%
G 1
 
4.3%
P 1
 
4.3%
B 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 96
25.5%
0 58
15.4%
2 58
15.4%
3 35
 
9.3%
4 29
 
7.7%
5 25
 
6.6%
9 22
 
5.8%
7 21
 
5.6%
6 18
 
4.8%
8 15
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
m 19
65.5%
k 4
 
13.8%
c 1
 
3.4%
n 1
 
3.4%
d 1
 
3.4%
i 1
 
3.4%
g 1
 
3.4%
o 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 268
83.2%
' 35
 
10.9%
. 11
 
3.4%
· 3
 
0.9%
% 3
 
0.9%
& 1
 
0.3%
‧ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 8
42.1%
→ 8
42.1%
∙ 3
 
15.8%
Space Separator
ValueCountFrequency (%)
4499
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Other Symbol
ValueCountFrequency (%)
㎞ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14921
73.4%
Common 5324
 
26.2%
Latin 52
 
0.3%
Han 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 529
 
3.5%
이 360
 
2.4%
주 345
 
2.3%
는 329
 
2.2%
마 296
 
2.0%
에 262
 
1.8%
로 261
 
1.7%
산 258
 
1.7%
물 247
 
1.7%
의 236
 
1.6%
Other values (726) 11798
79.1%
Han
ValueCountFrequency (%)
月 3
 
6.8%
岳 3
 
6.8%
明 3
 
6.8%
臺 2
 
4.5%
煙 2
 
4.5%
厄 2
 
4.5%
可 2
 
4.5%
佐 2
 
4.5%
日 2
 
4.5%
甕 1
 
2.3%
Other values (22) 22
50.0%
Common
ValueCountFrequency (%)
4499
84.5%
, 268
 
5.0%
1 96
 
1.8%
0 58
 
1.1%
2 58
 
1.1%
) 46
 
0.9%
( 46
 
0.9%
' 35
 
0.7%
3 35
 
0.7%
4 29
 
0.5%
Other values (18) 154
 
2.9%
Latin
ValueCountFrequency (%)
m 19
36.5%
A 4
 
7.7%
k 4
 
7.7%
C 3
 
5.8%
S 2
 
3.8%
F 2
 
3.8%
N 2
 
3.8%
T 2
 
3.8%
V 2
 
3.8%
G 1
 
1.9%
Other values (11) 11
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14921
73.4%
ASCII 5351
 
26.3%
CJK 44
 
0.2%
Punctuation 9
 
< 0.1%
Arrows 8
 
< 0.1%
None 4
 
< 0.1%
Math Operators 3
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4499
84.1%
, 268
 
5.0%
1 96
 
1.8%
0 58
 
1.1%
2 58
 
1.1%
) 46
 
0.9%
( 46
 
0.9%
' 35
 
0.7%
3 35
 
0.7%
4 29
 
0.5%
Other values (31) 181
 
3.4%
Hangul
ValueCountFrequency (%)
을 529
 
3.5%
이 360
 
2.4%
주 345
 
2.3%
는 329
 
2.2%
마 296
 
2.0%
에 262
 
1.8%
로 261
 
1.7%
산 258
 
1.7%
물 247
 
1.7%
의 236
 
1.6%
Other values (726) 11798
79.1%
Arrows
ValueCountFrequency (%)
→ 8
100.0%
Punctuation
ValueCountFrequency (%)
‘ 4
44.4%
’ 4
44.4%
‧ 1
 
11.1%
None
ValueCountFrequency (%)
· 3
75.0%
  1
 
25.0%
CJK
ValueCountFrequency (%)
月 3
 
6.8%
岳 3
 
6.8%
明 3
 
6.8%
臺 2
 
4.5%
煙 2
 
4.5%
厄 2
 
4.5%
可 2
 
4.5%
佐 2
 
4.5%
日 2
 
4.5%
甕 1
 
2.3%
Other values (22) 22
50.0%
Math Operators
ValueCountFrequency (%)
∙ 3
100.0%
CJK Compat
ValueCountFrequency (%)
㎞ 1
100.0%

수용인원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)53.3%
Missing583
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean226.93333
Minimum4
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T04:26:47.679802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.2
Q120
median40
Q350
95-th percentile1300
Maximum2000
Range1996
Interquartile range (IQR)30

Descriptive statistics

Standard deviation550.51501
Coefficient of variation (CV)2.4258887
Kurtosis8.5062555
Mean226.93333
Median Absolute Deviation (MAD)10
Skewness2.9326581
Sum3404
Variance303066.78
MonotonicityNot monotonic
2023-12-13T04:26:47.816375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 3
 
0.5%
50 3
 
0.5%
40 3
 
0.5%
30 2
 
0.3%
2000 1
 
0.2%
1000 1
 
0.2%
10 1
 
0.2%
4 1
 
0.2%
(Missing) 583
97.5%
ValueCountFrequency (%)
4 1
 
0.2%
10 1
 
0.2%
20 3
0.5%
30 2
0.3%
40 3
0.5%
50 3
0.5%
1000 1
 
0.2%
2000 1
 
0.2%
ValueCountFrequency (%)
2000 1
 
0.2%
1000 1
 
0.2%
50 3
0.5%
40 3
0.5%
30 2
0.3%
20 3
0.5%
10 1
 
0.2%
4 1
 
0.2%

주차가능수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)70.0%
Missing588
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean39.8
Minimum8
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T04:26:47.956312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.9
Q117.5
median30
Q350
95-th percentile94
Maximum130
Range122
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation35.549027
Coefficient of variation (CV)0.89319164
Kurtosis5.0198873
Mean39.8
Median Absolute Deviation (MAD)20
Skewness2.0344516
Sum398
Variance1263.7333
MonotonicityNot monotonic
2023-12-13T04:26:48.083973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
50 3
 
0.5%
30 2
 
0.3%
130 1
 
0.2%
8 1
 
0.2%
25 1
 
0.2%
15 1
 
0.2%
10 1
 
0.2%
(Missing) 588
98.3%
ValueCountFrequency (%)
8 1
 
0.2%
10 1
 
0.2%
15 1
 
0.2%
25 1
 
0.2%
30 2
0.3%
50 3
0.5%
130 1
 
0.2%
ValueCountFrequency (%)
130 1
 
0.2%
50 3
0.5%
30 2
0.3%
25 1
 
0.2%
15 1
 
0.2%
10 1
 
0.2%
8 1
 
0.2%

휴무일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
449 
연중무휴
127 
월요일
 
6
일요일
 
6
화요일
 
3
Other values (6)
 
7

Length

Max length15
Median length4
Mean length4.006689
Min length3

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 449
75.1%
연중무휴 127
 
21.2%
월요일 6
 
1.0%
일요일 6
 
1.0%
화요일 3
 
0.5%
매월마지막월요일 2
 
0.3%
목요일 1
 
0.2%
수요일 1
 
0.2%
공휴일 1
 
0.2%
일요일+공휴일 1
 
0.2%

Length

2023-12-13T04:26:48.253498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 449
75.1%
연중무휴 127
 
21.2%
월요일 6
 
1.0%
일요일 6
 
1.0%
화요일 3
 
0.5%
매월마지막월요일 2
 
0.3%
목요일 1
 
0.2%
수요일 1
 
0.2%
공휴일 1
 
0.2%
일요일+공휴일 1
 
0.2%

이용시간
Text

MISSING 

Distinct51
Distinct (%)35.4%
Missing454
Missing (%)75.9%
Memory size4.8 KiB
2023-12-13T04:26:48.577322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length22
Mean length22.715278
Min length15

Characters and Unicode

Total characters3271
Distinct characters37
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

Unique35 ?
Unique (%)24.3%

Sample

1st row(평일)11:00~18:00+(주말)10:00~18:00
2nd row(평일+주말+공휴일)09:00~17:00
3rd row(평일+주말+공휴일)09:00~18:00
4th row(평일+주말+공휴일)08:00~19:00
5th row(평일+주말+공휴일)09:00~18:00
ValueCountFrequency (%)
평일+주말+공휴일)00:00~24:00 33
22.9%
평일+주말+공휴일)10:00~17:00 28
19.4%
평일+주말+공휴일)10:00~16:00 10
 
6.9%
평일+주말+공휴일)09:00~18:00 6
 
4.2%
평일+주말+공휴일)10:00~18:00 5
 
3.5%
평일+주말)09:00~18:00 5
 
3.5%
평일+토요일)09:00~15:00 4
 
2.8%
평일+주말+공휴일)10:00~16:30 3
 
2.1%
평일+주말)10:00~17:00 3
 
2.1%
평일+주말+공휴일)09:30~17:00 2
 
1.4%
Other values (38) 45
31.2%
2023-12-13T04:26:49.047627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 756
23.1%
: 302
 
9.2%
+ 289
 
8.8%
일 275
 
8.4%
1 186
 
5.7%
( 151
 
4.6%
) 151
 
4.6%
~ 151
 
4.6%
평 148
 
4.5%
주 140
 
4.3%
Other values (27) 722
22.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1208
36.9%
Other Letter 1012
30.9%
Math Symbol 440
 
13.5%
Other Punctuation 302
 
9.2%
Open Punctuation 151
 
4.6%
Close Punctuation 151
 
4.6%
Space Separator 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 275
27.2%
평 148
14.6%
주 140
13.8%
말 140
13.8%
공 120
11.9%
휴 120
11.9%
기 15
 
1.5%
절 15
 
1.5%
동 10
 
1.0%
요 7
 
0.7%
Other values (11) 22
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 756
62.6%
1 186
 
15.4%
7 52
 
4.3%
9 51
 
4.2%
2 45
 
3.7%
8 35
 
2.9%
4 33
 
2.7%
3 28
 
2.3%
6 17
 
1.4%
5 5
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 289
65.7%
~ 151
34.3%
Other Punctuation
ValueCountFrequency (%)
: 302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2259
69.1%
Hangul 1012
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 275
27.2%
평 148
14.6%
주 140
13.8%
말 140
13.8%
공 120
11.9%
휴 120
11.9%
기 15
 
1.5%
절 15
 
1.5%
동 10
 
1.0%
요 7
 
0.7%
Other values (11) 22
 
2.2%
Common
ValueCountFrequency (%)
0 756
33.5%
: 302
 
13.4%
+ 289
 
12.8%
1 186
 
8.2%
( 151
 
6.7%
) 151
 
6.7%
~ 151
 
6.7%
7 52
 
2.3%
9 51
 
2.3%
2 45
 
2.0%
Other values (6) 125
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2259
69.1%
Hangul 1012
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 756
33.5%
: 302
 
13.4%
+ 289
 
12.8%
1 186
 
8.2%
( 151
 
6.7%
) 151
 
6.7%
~ 151
 
6.7%
7 52
 
2.3%
9 51
 
2.3%
2 45
 
2.0%
Other values (6) 125
 
5.5%
Hangul
ValueCountFrequency (%)
일 275
27.2%
평 148
14.6%
주 140
13.8%
말 140
13.8%
공 120
11.9%
휴 120
11.9%
기 15
 
1.5%
절 15
 
1.5%
동 10
 
1.0%
요 7
 
0.7%
Other values (11) 22
 
2.2%

요금정보
Text

MISSING 

Distinct84
Distinct (%)50.0%
Missing430
Missing (%)71.9%
Memory size4.8 KiB
2023-12-13T04:26:49.238774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length92
Mean length17.708333
Min length1

Characters and Unicode

Total characters2975
Distinct characters231
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)44.0%

Sample

1st row2000원(입장료)+30000원(평상주중3시간)+50000원(평상종일)+35000원(평상주말4시간)+60000원(평상주말종일)
2nd row무료
3rd row10000원
4th row8000원(성인)+5000원(장애인+국가유공자+도민)+3000원(어린이+단체)
5th row9000원(성인개인)+7000원(성인단체)+6000원(청소년개인+군인개인+유공자개인+경로개인+장애인개인)+5000원(청소년단체+군인단체+유공자단체+경로단체+장애인단체+어린이개인)+4000원(어린이단체)
ValueCountFrequency (%)
무료 61
30.8%
10000원 9
 
4.5%
15000원(성인 5
 
2.5%
만들기 5
 
2.5%
15000원 5
 
2.5%
4000원 3
 
1.5%
1000원 3
 
1.5%
30000원 2
 
1.0%
9000원(성인)+8000원(어린이+청소년)+7000원(경로+유공자+장애인 2
 
1.0%
5000원(2명이상 2
 
1.0%
Other values (101) 101
51.0%
2023-12-13T04:26:49.625562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 673
22.6%
원 206
 
6.9%
( 179
 
6.0%
) 179
 
6.0%
+ 160
 
5.4%
1 95
 
3.2%
인 73
 
2.5%
5 71
 
2.4%
료 68
 
2.3%
무 67
 
2.3%
Other values (221) 1204
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1411
47.4%
Decimal Number 1003
33.7%
Open Punctuation 179
 
6.0%
Close Punctuation 179
 
6.0%
Math Symbol 160
 
5.4%
Space Separator 35
 
1.2%
Other Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 206
 
14.6%
인 73
 
5.2%
료 68
 
4.8%
무 67
 
4.7%
이 58
 
4.1%
체 41
 
2.9%
성 35
 
2.5%
상 25
 
1.8%
스 25
 
1.8%
어 24
 
1.7%
Other values (201) 789
55.9%
Decimal Number
ValueCountFrequency (%)
0 673
67.1%
1 95
 
9.5%
5 71
 
7.1%
2 38
 
3.8%
3 38
 
3.8%
4 28
 
2.8%
6 20
 
2.0%
8 19
 
1.9%
7 14
 
1.4%
9 7
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
· 2
40.0%
/ 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Math Symbol
ValueCountFrequency (%)
+ 160
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1561
52.5%
Hangul 1411
47.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 206
 
14.6%
인 73
 
5.2%
료 68
 
4.8%
무 67
 
4.7%
이 58
 
4.1%
체 41
 
2.9%
성 35
 
2.5%
상 25
 
1.8%
스 25
 
1.8%
어 24
 
1.7%
Other values (201) 789
55.9%
Common
ValueCountFrequency (%)
0 673
43.1%
( 179
 
11.5%
) 179
 
11.5%
+ 160
 
10.2%
1 95
 
6.1%
5 71
 
4.5%
2 38
 
2.4%
3 38
 
2.4%
35
 
2.2%
4 28
 
1.8%
Other values (7) 65
 
4.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1562
52.5%
Hangul 1411
47.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 673
43.1%
( 179
 
11.5%
) 179
 
11.5%
+ 160
 
10.2%
1 95
 
6.1%
5 71
 
4.5%
2 38
 
2.4%
3 38
 
2.4%
35
 
2.2%
4 28
 
1.8%
Other values (9) 66
 
4.2%
Hangul
ValueCountFrequency (%)
원 206
 
14.6%
인 73
 
5.2%
료 68
 
4.8%
무 67
 
4.7%
이 58
 
4.1%
체 41
 
2.9%
성 35
 
2.5%
상 25
 
1.8%
스 25
 
1.8%
어 24
 
1.7%
Other values (201) 789
55.9%
None
ValueCountFrequency (%)
· 2
100.0%

편의시설
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct49
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
466 
공용주차장+화장실
 
20
주차장+화장실
 
14
화장실
 
10
공용주차장+무인판매대+화장실
 
10
Other values (44)
78 

Length

Max length42
Median length4
Mean length5.8160535
Min length3

Unique

Unique34 ?
Unique (%)5.7%

Sample

1st row샤워장+탈의실+매점
2nd row<NA>
3rd row공중화장실
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 466
77.9%
공용주차장+화장실 20
 
3.3%
주차장+화장실 14
 
2.3%
화장실 10
 
1.7%
공용주차장+무인판매대+화장실 10
 
1.7%
주차장 9
 
1.5%
화장실+주차장 7
 
1.2%
주차장+화장실+무료WIFI+편의점+음료대 5
 
0.8%
주차장+현금결제+카드결제+화장실+무료WIFI 5
 
0.8%
공용주차장+공용화장실+무료WIFI 5
 
0.8%
Other values (39) 47
 
7.9%

Length

2023-12-13T04:26:49.786727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 466
77.4%
공용주차장+화장실 20
 
3.3%
주차장+화장실 14
 
2.3%
화장실 10
 
1.7%
공용주차장+무인판매대+화장실 10
 
1.7%
주차장 9
 
1.5%
화장실+주차장 7
 
1.2%
주차장+화장실+무료wifi+편의점+음료대 5
 
0.8%
주차장+현금결제+카드결제+화장실+무료wifi 5
 
0.8%
공용주차장+공용화장실+무료wifi 5
 
0.8%
Other values (42) 51
 
8.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T04:26:49.907874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:50.033660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:26:38.652801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:33.336354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:35.016625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.124954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.760492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:33.441806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:36.150463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.232133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.862787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:34.724658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:37.923656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.363824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.958613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:34.878530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.034369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:26:38.511119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:26:50.126309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명읍면동명특화자원유형위도경도수용인원수주차가능수휴무일이용시간요금정보편의시설
시군구명1.0001.0000.5530.7330.4270.4881.0000.2700.5880.8310.963
읍면동명1.0001.0000.7890.9210.9150.7620.7630.4840.8890.9450.960
특화자원유형0.5530.7891.0000.6600.7161.0000.5170.0000.9200.0000.980
위도0.7330.9210.6601.0000.6210.7860.7630.0000.8030.7140.862
경도0.4270.9150.7160.6211.0000.0000.8400.3040.8760.6420.953
수용인원수0.4880.7621.0000.7860.0001.000NaN0.0001.0001.0001.000
주차가능수1.0000.7630.5170.7630.840NaN1.0000.3461.0001.0000.873
휴무일0.2700.4840.0000.0000.3040.0000.3461.0000.9860.9870.945
이용시간0.5880.8890.9200.8030.8761.0001.0000.9861.0000.9940.990
요금정보0.8310.9450.0000.7140.6421.0001.0000.9870.9941.0000.958
편의시설0.9630.9600.9800.8620.9531.0000.8730.9450.9900.9581.000
2023-12-13T04:26:50.277583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일시군구명편의시설읍면동명
휴무일1.0000.2000.5790.166
시군구명0.2001.0000.6960.988
편의시설0.5790.6961.0000.627
읍면동명0.1660.9880.6271.000
2023-12-13T04:26:50.398681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수용인원수주차가능수시군구명읍면동명휴무일편의시설
위도1.0000.490-0.713-0.2490.5400.7640.0000.493
경도0.4901.0000.3990.7170.4640.4720.4720.711
수용인원수-0.7130.3991.000NaN0.7130.7760.0000.798
주차가능수-0.2490.717NaN1.0000.8660.7460.3330.577
시군구명0.5400.4640.7130.8661.0000.9880.2000.696
읍면동명0.7640.4720.7760.7460.9881.0000.1660.627
휴무일0.0000.4720.0000.3330.2000.1661.0000.579
편의시설0.4930.7110.7980.5770.6960.6270.5791.000

Missing values

2023-12-13T04:26:39.126100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:26:39.470008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T04:26:39.697662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

마을명시군구명읍면동명행정리명특화자원명특화자원유형소재지도로명주소소재지지번주소소재지전화번호위도경도특화자원내용수용인원수주차가능수휴무일이용시간요금정보편의시설데이터기준일자
0남원1리마을서귀포시남원읍남원1리남원용암해수풀장수영장제주특별자치도 서귀포시 남원읍 남태해안로 140제주특별자치도 서귀포시 남원읍 남원리 91-6064-764-808033.277696126.7196502남원1리 마을회에서 관리하고 있는 해수풀장<NA><NA>연중무휴(평일)11:00~18:00+(주말)10:00~18:002000원(입장료)+30000원(평상주중3시간)+50000원(평상종일)+35000원(평상주말4시간)+60000원(평상주말종일)샤워장+탈의실+매점2022-09-30
1남원1리마을서귀포시남원읍남원1리감귤, 한라봉, 천혜향, 레드향, 황금향, 해산물주요생산물<NA>제주특별자치도 서귀포시 남원읍 남원1리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
2남원1리마을서귀포시남원읍남원1리한반도 포토스팟포토스팟제주특별자치도 서귀포시 남원읍 태위로 522-17제주특별자치도 서귀포시 남원읍 남원리 2379-3<NA>33.273343126.7037085나무 그림자가 한반도 모양이라 한반도 앞에서 사진을 찍을 수 있는 곳<NA><NA>연중무휴<NA>무료공중화장실2022-09-30
3남원2리마을서귀포시남원읍남원2리감귤, 키위주요생산물<NA>제주특별자치도 서귀포시 남원읍 남원2리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
4남원2리마을서귀포시남원읍남원2리왕감귤체험농장체험프로그램제주특별자치도 서귀포시 남원읍 남위남성로 10-14제주특별자치도 서귀포시 남원읍 남원리 1151-10507-1330-868733.283744126.7072293귤 따기 체험 프로그램<NA><NA>연중무휴(평일+주말+공휴일)09:00~17:00<NA><NA>2022-09-30
5남원2리마을서귀포시남원읍남원2리최남단체험감귤농장체험프로그램제주특별자치도 서귀포시 남원읍 남위남성로 164제주특별자치도 서귀포시 남원읍 남원리 2019064-764-775933.289913126.6937595귤 따기 체험 프로그램<NA><NA>연중무휴(평일+주말+공휴일)09:00~18:00<NA><NA>2022-09-30
6남원2리마을서귀포시남원읍남원2리폴개협동조합 감귤농장체험프로그램제주특별자치도 서귀포시 남원읍 원님서로326번길 38-51제주특별자치도 서귀포시 남원읍 남원리 4930507-1417-041433.303133126.7069337귤 따기 체험 프로그램<NA><NA>연중무휴(평일+주말+공휴일)08:00~19:0010000원<NA>2022-09-30
7수망리마을서귀포시남원읍수망리수망8경8경+무형문화재<NA>제주특별자치도 서귀포시 남원읍 수망리<NA><NA><NA>마을에서 선정한 수망8경(동척조일, 앙망설산, 홍유신호, 영담만경, 세우야궐, 울화만향, 수망하곡)<NA><NA><NA><NA><NA><NA>2022-09-30
8수망리마을서귀포시남원읍수망리수망리방사탑방사탑+유형문화재<NA>제주특별자치도 서귀포시 남원읍 수망리<NA><NA><NA>마을의 안녕을 기원하는 의미로 방사탑을 세웠으며, 탑의 맨 위에는 사람이나 새 모양의 형상을 만들어 놓기도 함<NA><NA><NA><NA><NA><NA>2022-09-30
9수망리마을서귀포시남원읍수망리수망리본향당신당+유형문화재<NA>제주특별자치도 서귀포시 남원읍 수망리 775번지, 마을 서쪽 의귀천 다리(수망교) 옆 내창 따라 북쪽 300m<NA><NA><NA>정월 7일, 6월 7일로 1년에 2번 마을 굿을 함<NA><NA><NA><NA><NA><NA>2022-09-30
마을명시군구명읍면동명행정리명특화자원명특화자원유형소재지도로명주소소재지지번주소소재지전화번호위도경도특화자원내용수용인원수주차가능수휴무일이용시간요금정보편의시설데이터기준일자
588월림리마을제주시한림읍월림리라온ZOO동물원동물원제주특별자치도 제주시 한림읍 월림7길 155제주특별자치도 제주시 한림읍 월림리 산 8064-795-808033.355739126.242467제주도 최초의 체험형 실내 동물원<NA><NA>연중무휴(평일+주말+공휴일)10:00~17:0012000원(24개월이상성인까지)+6000원(18개월이상24개월까지+30인이상단체)+9600원(제주도민)공용주차장+화장실+무료WIFI+편의점+경보 및 피난시설+엘리베이터2022-09-30
589월림리마을제주시한림읍월림리감귤, 마늘, 양배추 등주요생산물<NA>제주특별자치도 제주시 한림읍 월림리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
590한림1리마을제주시한림읍한림1리수산물주요생산물<NA>제주특별자치도 제주시 한림읍 한림1리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
591한림1리마을제주시한림읍한림1리현무호체험프로그램<NA>제주특별자치도 제주시 한림읍 한림리 1314-183<NA>33.416841126.2628476배를 타고 낚시를 할 수 있는 프로그램<NA><NA>연중무휴(평일+주말+공휴일)09:00~17:00120000원화장실+공영주차장2022-09-30
592한림2리마을제주시한림읍한림2리양배추, 브로콜리, 양파, 쪽파 등주요생산물<NA>제주특별자치도 제주시 한림읍 한림2리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
593한림3리마을제주시한림읍한림3리양파, 양배추 등주요생산물<NA>제주특별자치도 제주시 한림읍 한림3리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
594한수리마을제주시한림읍한수리한수리 대섬밧 하르방당(대섬밧당)신당<NA>제주특별자치도 제주시 한림읍 한수리 914-1<NA>33.423394126.2606876어부, 해녀들의 안전조업과 풍어를 기원하고 풍년과 화합을 축원하는 당이며 영등대왕의 신체를 모시고 있음<NA><NA>연중무휴(평일+주말+공휴일)00:00~24:00무료<NA>2022-09-30
595한수리마을제주시한림읍한수리소라, 전복, 오분자기, 성게 등주요생산물<NA>제주특별자치도 제주시 한림읍 한수리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30
596한수리마을제주시한림읍한수리제주 전통 낚시체험(테우낚시, 고망낚시, 방파제낚시)체험프로그램제주특별자치도 제주시 한림읍 한림해안로 200제주특별자치도 제주시 한림읍 한수리 879-30064-796-753533.419775126.2627664전통방식의 대나무 낚시대를 이용하여 테우낚시, 고망낚시, 방파제낚시를 즐길 수 있는 체험 프로그램20<NA>연중무휴(평일+주말+공휴일)10:00~18:0015000원<NA>2022-09-30
597협재리마을제주시한림읍협재리감귤, 양배추, 브로콜리, 버섯, 고구마, 보리, 콩 등주요생산물<NA>제주특별자치도 제주시 한림읍 협재리<NA><NA><NA>마을 주요 생산물<NA><NA><NA><NA><NA><NA>2022-09-30