Overview

Dataset statistics

Number of variables23
Number of observations381
Missing cells2103
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.5 KiB
Average record size in memory189.3 B

Variable types

Text13
Categorical4
Numeric5
DateTime1

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 공식 관광지에 대한 데이터로 관광지의 유형과, 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109342/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
휴무일 is highly imbalanced (62.1%)Imbalance
소재지도로명주소 has 200 (52.5%) missing valuesMissing
면적 has 242 (63.5%) missing valuesMissing
지정일자 has 330 (86.6%) missing valuesMissing
수용인원수 has 372 (97.6%) missing valuesMissing
주차가능수 has 351 (92.1%) missing valuesMissing
운영시간 has 201 (52.8%) missing valuesMissing
요금정보 has 111 (29.1%) missing valuesMissing
주요목적 has 14 (3.7%) missing valuesMissing
편의시설 has 173 (45.4%) missing valuesMissing
관리기관명 has 57 (15.0%) missing valuesMissing
관리기관전화번호 has 52 (13.6%) missing valuesMissing
관광지소개 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:40:02.662201
Analysis finished2023-12-12 16:40:04.016513
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Text

Distinct115
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:04.168905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.5170604
Min length4

Characters and Unicode

Total characters2102
Distinct characters132
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

Unique35 ?
Unique (%)9.2%

Sample

1st row남원1리마을
2nd row남원1리마을
3rd row남원1리마을
4th row수망리마을
5th row수망리마을
ValueCountFrequency (%)
송당리마을 17
 
4.5%
교래삼다수마을 17
 
4.5%
가시리마을 16
 
4.2%
저지리마을 12
 
3.1%
동광마을 11
 
2.9%
김녕리마을 11
 
2.9%
상창리마을 10
 
2.6%
사계리어촌체험휴양마을 9
 
2.4%
감산리마을 8
 
2.1%
성읍2리마을 7
 
1.8%
Other values (105) 263
69.0%
2023-12-13T01:40:04.523731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 386
18.4%
을 381
18.1%
리 330
15.7%
수 46
 
2.2%
1 38
 
1.8%
2 29
 
1.4%
신 26
 
1.2%
상 26
 
1.2%
산 25
 
1.2%
광 24
 
1.1%
Other values (122) 791
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2026
96.4%
Decimal Number 75
 
3.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 386
19.1%
을 381
18.8%
리 330
16.3%
수 46
 
2.3%
신 26
 
1.3%
상 26
 
1.3%
산 25
 
1.2%
광 24
 
1.2%
삼 22
 
1.1%
양 22
 
1.1%
Other values (118) 738
36.4%
Decimal Number
ValueCountFrequency (%)
1 38
50.7%
2 29
38.7%
3 8
 
10.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2026
96.4%
Common 76
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 386
19.1%
을 381
18.8%
리 330
16.3%
수 46
 
2.3%
신 26
 
1.3%
상 26
 
1.3%
산 25
 
1.2%
광 24
 
1.2%
삼 22
 
1.1%
양 22
 
1.1%
Other values (118) 738
36.4%
Common
ValueCountFrequency (%)
1 38
50.0%
2 29
38.2%
3 8
 
10.5%
1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2026
96.4%
ASCII 76
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 386
19.1%
을 381
18.8%
리 330
16.3%
수 46
 
2.3%
신 26
 
1.3%
상 26
 
1.3%
산 25
 
1.2%
광 24
 
1.2%
삼 22
 
1.1%
양 22
 
1.1%
Other values (118) 738
36.4%
ASCII
ValueCountFrequency (%)
1 38
50.0%
2 29
38.2%
3 8
 
10.5%
1
 
1.3%

시군구명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
제주시
199 
서귀포시
182 

Length

Max length4
Median length3
Mean length3.4776903
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 199
52.2%
서귀포시 182
47.8%

Length

2023-12-13T01:40:04.650374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:40:04.751181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 199
52.2%
서귀포시 182
47.8%

읍면동명
Categorical

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
안덕면
68 
구좌읍
53 
표선면
35 
조천읍
35 
애월읍
33 
Other values (11)
157 

Length

Max length4
Median length3
Mean length3.023622
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안덕면 68
17.8%
구좌읍 53
13.9%
표선면 35
9.2%
조천읍 35
9.2%
애월읍 33
8.7%
한림읍 32
8.4%
한경면 30
7.9%
남원읍 27
 
7.1%
성산읍 27
 
7.1%
대정읍 20
 
5.2%
Other values (6) 21
 
5.5%

Length

2023-12-13T01:40:04.848199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안덕면 68
17.8%
구좌읍 53
13.9%
표선면 35
9.2%
조천읍 35
9.2%
한림읍 34
8.9%
애월읍 33
8.7%
한경면 33
8.7%
남원읍 27
 
7.1%
성산읍 27
 
7.1%
대정읍 20
 
5.2%
Other values (4) 16
 
4.2%

행정리명
Text

Distinct114
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:05.132899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2388451
Min length2

Characters and Unicode

Total characters1234
Distinct characters113
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

Unique35 ?
Unique (%)9.2%

Sample

1st row남원1리
2nd row남원1리
3rd row남원1리
4th row수망리
5th row수망리
ValueCountFrequency (%)
송당리 17
 
4.5%
교래리 17
 
4.5%
가시리 16
 
4.2%
저지리 12
 
3.1%
김녕리 11
 
2.9%
동광리 11
 
2.9%
상창리 10
 
2.6%
사계리 9
 
2.4%
감산리 8
 
2.1%
성읍2리 7
 
1.8%
Other values (104) 263
69.0%
2023-12-13T01:40:05.601488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 376
30.5%
1 38
 
3.1%
2 33
 
2.7%
수 29
 
2.4%
신 27
 
2.2%
상 26
 
2.1%
산 25
 
2.0%
광 24
 
1.9%
성 21
 
1.7%
가 19
 
1.5%
Other values (103) 616
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1155
93.6%
Decimal Number 79
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 376
32.6%
수 29
 
2.5%
신 27
 
2.3%
상 26
 
2.3%
산 25
 
2.2%
광 24
 
2.1%
성 21
 
1.8%
가 19
 
1.6%
동 18
 
1.6%
서 17
 
1.5%
Other values (100) 573
49.6%
Decimal Number
ValueCountFrequency (%)
1 38
48.1%
2 33
41.8%
3 8
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1155
93.6%
Common 79
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 376
32.6%
수 29
 
2.5%
신 27
 
2.3%
상 26
 
2.3%
산 25
 
2.2%
광 24
 
2.1%
성 21
 
1.8%
가 19
 
1.6%
동 18
 
1.6%
서 17
 
1.5%
Other values (100) 573
49.6%
Common
ValueCountFrequency (%)
1 38
48.1%
2 33
41.8%
3 8
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1155
93.6%
ASCII 79
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 376
32.6%
수 29
 
2.5%
신 27
 
2.3%
상 26
 
2.3%
산 25
 
2.2%
광 24
 
2.1%
성 21
 
1.8%
가 19
 
1.6%
동 18
 
1.6%
서 17
 
1.5%
Other values (100) 573
49.6%
ASCII
ValueCountFrequency (%)
1 38
48.1%
2 33
41.8%
3 8
 
10.1%

관광지명
Text

Distinct378
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:05.836204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.9370079
Min length2

Characters and Unicode

Total characters2262
Distinct characters414
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

Unique375 ?
Unique (%)98.4%

Sample

1st row금호제주리조트 아쿠아나
2nd row큰엉해안경승지
3rd row코코몽 에코파크
4th row마흐니 숲길
5th row물영아리오름
ValueCountFrequency (%)
제주 6
 
1.3%
당오름 2
 
0.4%
공원 2
 
0.4%
해변 2
 
0.4%
쇠소깍 2
 
0.4%
자생지 2
 
0.4%
농어촌체험마을 2
 
0.4%
당산봉 2
 
0.4%
전망대 2
 
0.4%
마라도 2
 
0.4%
Other values (420) 422
94.6%
2023-12-13T01:40:06.288842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 89
 
3.9%
름 87
 
3.8%
67
 
3.0%
리 46
 
2.0%
제 43
 
1.9%
주 41
 
1.8%
원 39
 
1.7%
장 34
 
1.5%
수 34
 
1.5%
이 34
 
1.5%
Other values (404) 1748
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2145
94.8%
Space Separator 67
 
3.0%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%
Decimal Number 12
 
0.5%
Uppercase Letter 5
 
0.2%
Other Punctuation 4
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 89
 
4.1%
름 87
 
4.1%
리 46
 
2.1%
제 43
 
2.0%
주 41
 
1.9%
원 39
 
1.8%
장 34
 
1.6%
수 34
 
1.6%
이 34
 
1.6%
지 33
 
1.5%
Other values (382) 1665
77.6%
Decimal Number
ValueCountFrequency (%)
1 2
16.7%
5 2
16.7%
2 2
16.7%
8 1
8.3%
9 1
8.3%
4 1
8.3%
7 1
8.3%
6 1
8.3%
3 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
B 1
20.0%
S 1
20.0%
N 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
, 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
a 1
33.3%
u 1
33.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2145
94.8%
Common 109
 
4.8%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 89
 
4.1%
름 87
 
4.1%
리 46
 
2.1%
제 43
 
2.0%
주 41
 
1.9%
원 39
 
1.8%
장 34
 
1.6%
수 34
 
1.6%
이 34
 
1.6%
지 33
 
1.5%
Other values (382) 1665
77.6%
Common
ValueCountFrequency (%)
67
61.5%
( 13
 
11.9%
) 13
 
11.9%
1 2
 
1.8%
& 2
 
1.8%
5 2
 
1.8%
2 2
 
1.8%
. 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
Other values (5) 5
 
4.6%
Latin
ValueCountFrequency (%)
C 2
25.0%
m 1
12.5%
B 1
12.5%
a 1
12.5%
u 1
12.5%
S 1
12.5%
N 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2145
94.8%
ASCII 117
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 89
 
4.1%
름 87
 
4.1%
리 46
 
2.1%
제 43
 
2.0%
주 41
 
1.9%
원 39
 
1.8%
장 34
 
1.6%
수 34
 
1.6%
이 34
 
1.6%
지 33
 
1.5%
Other values (382) 1665
77.6%
ASCII
ValueCountFrequency (%)
67
57.3%
( 13
 
11.1%
) 13
 
11.1%
1 2
 
1.7%
& 2
 
1.7%
5 2
 
1.7%
2 2
 
1.7%
C 2
 
1.7%
. 1
 
0.9%
8 1
 
0.9%
Other values (12) 12
 
10.3%

관광지유형
Text

Distinct93
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:06.537465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.9002625
Min length1

Characters and Unicode

Total characters1105
Distinct characters124
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

Unique54 ?
Unique (%)14.2%

Sample

1st row워터파크
2nd row자연명소
3rd row테마파크
4th row숲길
5th row오름
ValueCountFrequency (%)
오름 106
27.7%
테마파크 28
 
7.3%
박물관 17
 
4.5%
해변 13
 
3.4%
관광농원 13
 
3.4%
공원 10
 
2.6%
해수욕장 9
 
2.4%
동굴 8
 
2.1%
자연명소 8
 
2.1%
문화유적지 8
 
2.1%
Other values (82) 162
42.4%
2023-12-13T01:40:07.074461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 106
 
9.6%
름 106
 
9.6%
관 58
 
5.2%
원 47
 
4.3%
마 39
 
3.5%
파 31
 
2.8%
물 31
 
2.8%
해 31
 
2.8%
크 30
 
2.7%
테 29
 
2.6%
Other values (114) 597
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
98.4%
Math Symbol 15
 
1.4%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 106
 
9.8%
름 106
 
9.8%
관 58
 
5.3%
원 47
 
4.3%
마 39
 
3.6%
파 31
 
2.9%
물 31
 
2.9%
해 31
 
2.9%
크 30
 
2.8%
테 29
 
2.7%
Other values (112) 579
53.3%
Math Symbol
ValueCountFrequency (%)
+ 15
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
98.4%
Common 18
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 106
 
9.8%
름 106
 
9.8%
관 58
 
5.3%
원 47
 
4.3%
마 39
 
3.6%
파 31
 
2.9%
물 31
 
2.9%
해 31
 
2.9%
크 30
 
2.8%
테 29
 
2.7%
Other values (112) 579
53.3%
Common
ValueCountFrequency (%)
+ 15
83.3%
3
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
98.4%
ASCII 18
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 106
 
9.8%
름 106
 
9.8%
관 58
 
5.3%
원 47
 
4.3%
마 39
 
3.6%
파 31
 
2.9%
물 31
 
2.9%
해 31
 
2.9%
크 30
 
2.8%
테 29
 
2.7%
Other values (112) 579
53.3%
ASCII
ValueCountFrequency (%)
+ 15
83.3%
3
 
16.7%

소재지도로명주소
Text

MISSING 

Distinct179
Distinct (%)98.9%
Missing200
Missing (%)52.5%
Memory size3.1 KiB
2023-12-13T01:40:07.541946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length25.955801
Min length21

Characters and Unicode

Total characters4698
Distinct characters176
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

Unique177 ?
Unique (%)97.8%

Sample

1st row제주특별자치도 서귀포시 남원읍 태위로 522-12
2nd row제주특별자치도 서귀포시 남원읍 태위로 522-17
3rd row제주특별자치도 서귀포시 남원읍 태위로 536
4th row제주특별자치도 서귀포시 남원읍 신례로298번길 3-6
5th row제주특별자치도 서귀포시 남원읍 생기악로 53-38
ValueCountFrequency (%)
제주특별자치도 181
19.8%
서귀포시 100
 
10.9%
제주시 81
 
8.9%
안덕면 40
 
4.4%
조천읍 20
 
2.2%
성산읍 19
 
2.1%
한림읍 17
 
1.9%
한경면 15
 
1.6%
남원읍 14
 
1.5%
애월읍 13
 
1.4%
Other values (290) 414
45.3%
2023-12-13T01:40:08.277408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
738
 
15.7%
주 270
 
5.7%
제 266
 
5.7%
자 187
 
4.0%
도 187
 
4.0%
시 182
 
3.9%
특 181
 
3.9%
별 181
 
3.9%
치 181
 
3.9%
로 153
 
3.3%
Other values (166) 2172
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3224
68.6%
Space Separator 738
 
15.7%
Decimal Number 683
 
14.5%
Dash Punctuation 50
 
1.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 270
 
8.4%
제 266
 
8.3%
자 187
 
5.8%
도 187
 
5.8%
시 182
 
5.6%
특 181
 
5.6%
별 181
 
5.6%
치 181
 
5.6%
로 153
 
4.7%
서 125
 
3.9%
Other values (151) 1311
40.7%
Decimal Number
ValueCountFrequency (%)
1 127
18.6%
2 102
14.9%
3 70
10.2%
5 67
9.8%
6 65
9.5%
4 65
9.5%
8 54
7.9%
0 52
7.6%
7 51
7.5%
9 30
 
4.4%
Space Separator
ValueCountFrequency (%)
738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3224
68.6%
Common 1474
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 270
 
8.4%
제 266
 
8.3%
자 187
 
5.8%
도 187
 
5.8%
시 182
 
5.6%
특 181
 
5.6%
별 181
 
5.6%
치 181
 
5.6%
로 153
 
4.7%
서 125
 
3.9%
Other values (151) 1311
40.7%
Common
ValueCountFrequency (%)
738
50.1%
1 127
 
8.6%
2 102
 
6.9%
3 70
 
4.7%
5 67
 
4.5%
6 65
 
4.4%
4 65
 
4.4%
8 54
 
3.7%
0 52
 
3.5%
7 51
 
3.5%
Other values (5) 83
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3224
68.6%
ASCII 1474
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
738
50.1%
1 127
 
8.6%
2 102
 
6.9%
3 70
 
4.7%
5 67
 
4.5%
6 65
 
4.4%
4 65
 
4.4%
8 54
 
3.7%
0 52
 
3.5%
7 51
 
3.5%
Other values (5) 83
 
5.6%
Hangul
ValueCountFrequency (%)
주 270
 
8.4%
제 266
 
8.3%
자 187
 
5.8%
도 187
 
5.8%
시 182
 
5.6%
특 181
 
5.6%
별 181
 
5.6%
치 181
 
5.6%
로 153
 
4.7%
서 125
 
3.9%
Other values (151) 1311
40.7%

소재지지번주소
Text

Distinct362
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:08.596844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length24.863517
Min length16

Characters and Unicode

Total characters9473
Distinct characters133
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

Unique346 ?
Unique (%)90.8%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원리 2390
2nd row제주특별자치도 서귀포시 남원읍 남원리 2379-3
3rd row제주특별자치도 서귀포시 남원읍 남원리 2380
4th row제주특별자치도 서귀포시 남원읍 수망리 산203
5th row제주특별자치도 서귀포시 남원읍 수망리 산 189
ValueCountFrequency (%)
제주특별자치도 381
19.4%
제주시 199
 
10.2%
서귀포시 182
 
9.3%
산 70
 
3.6%
안덕면 68
 
3.5%
구좌읍 53
 
2.7%
표선면 35
 
1.8%
조천읍 34
 
1.7%
한림읍 34
 
1.7%
애월읍 33
 
1.7%
Other values (445) 870
44.4%
2023-12-13T01:40:08.976424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1585
 
16.7%
제 580
 
6.1%
주 580
 
6.1%
시 397
 
4.2%
도 393
 
4.1%
자 385
 
4.1%
특 381
 
4.0%
별 381
 
4.0%
치 381
 
4.0%
리 376
 
4.0%
Other values (123) 4034
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6380
67.3%
Space Separator 1585
 
16.7%
Decimal Number 1338
 
14.1%
Dash Punctuation 170
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 580
 
9.1%
주 580
 
9.1%
시 397
 
6.2%
도 393
 
6.2%
자 385
 
6.0%
특 381
 
6.0%
별 381
 
6.0%
치 381
 
6.0%
리 376
 
5.9%
읍 240
 
3.8%
Other values (111) 2286
35.8%
Decimal Number
ValueCountFrequency (%)
1 302
22.6%
2 190
14.2%
3 152
11.4%
4 111
 
8.3%
6 110
 
8.2%
5 105
 
7.8%
7 99
 
7.4%
0 93
 
7.0%
8 91
 
6.8%
9 85
 
6.4%
Space Separator
ValueCountFrequency (%)
1585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6380
67.3%
Common 3093
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 580
 
9.1%
주 580
 
9.1%
시 397
 
6.2%
도 393
 
6.2%
자 385
 
6.0%
특 381
 
6.0%
별 381
 
6.0%
치 381
 
6.0%
리 376
 
5.9%
읍 240
 
3.8%
Other values (111) 2286
35.8%
Common
ValueCountFrequency (%)
1585
51.2%
1 302
 
9.8%
2 190
 
6.1%
- 170
 
5.5%
3 152
 
4.9%
4 111
 
3.6%
6 110
 
3.6%
5 105
 
3.4%
7 99
 
3.2%
0 93
 
3.0%
Other values (2) 176
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6380
67.3%
ASCII 3093
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1585
51.2%
1 302
 
9.8%
2 190
 
6.1%
- 170
 
5.5%
3 152
 
4.9%
4 111
 
3.6%
6 110
 
3.6%
5 105
 
3.4%
7 99
 
3.2%
0 93
 
3.0%
Other values (2) 176
 
5.7%
Hangul
ValueCountFrequency (%)
제 580
 
9.1%
주 580
 
9.1%
시 397
 
6.2%
도 393
 
6.2%
자 385
 
6.0%
특 381
 
6.0%
별 381
 
6.0%
치 381
 
6.0%
리 376
 
5.9%
읍 240
 
3.8%
Other values (111) 2286
35.8%

위도
Real number (ℝ)

Distinct380
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.382995
Minimum33.113772
Maximum33.954666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T01:40:09.109957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.113772
5-th percentile33.235847
Q133.305917
median33.386451
Q333.450229
95-th percentile33.54375
Maximum33.954666
Range0.84089469
Interquartile range (IQR)0.14431197

Descriptive statistics

Standard deviation0.11031781
Coefficient of variation (CV)0.0033046109
Kurtosis5.6814272
Mean33.382995
Median Absolute Deviation (MAD)0.07138173
Skewness1.2106074
Sum12718.921
Variance0.012170019
MonotonicityNot monotonic
2023-12-13T01:40:09.269601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.39043486 2
 
0.5%
33.27264281 1
 
0.3%
33.45028883 1
 
0.3%
33.38907202 1
 
0.3%
33.40581267 1
 
0.3%
33.40824654 1
 
0.3%
33.39029938 1
 
0.3%
33.39419821 1
 
0.3%
33.40441053 1
 
0.3%
33.37710974 1
 
0.3%
Other values (370) 370
97.1%
ValueCountFrequency (%)
33.11377176 1
0.3%
33.11392085 1
0.3%
33.11664905 1
0.3%
33.11848589 1
0.3%
33.11924732 1
0.3%
33.1700117 1
0.3%
33.19848191 1
0.3%
33.20333105 1
0.3%
33.20471796 1
0.3%
33.20647842 1
0.3%
ValueCountFrequency (%)
33.95466645 1
0.3%
33.94821882 1
0.3%
33.94571386 1
0.3%
33.93988321 1
0.3%
33.55977253 1
0.3%
33.55829321 1
0.3%
33.55789842 1
0.3%
33.55763916 1
0.3%
33.5574303 1
0.3%
33.55685446 1
0.3%

경도
Real number (ℝ)

Distinct380
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52774
Minimum126.14782
Maximum126.96715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T01:40:09.408351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.14782
5-th percentile126.22683
Q1126.30467
median126.41707
Q3126.75493
95-th percentile126.90267
Maximum126.96715
Range0.8193341
Interquartile range (IQR)0.4502578

Descriptive statistics

Standard deviation0.24268586
Coefficient of variation (CV)0.0019180447
Kurtosis-1.5361263
Mean126.52774
Median Absolute Deviation (MAD)0.2051709
Skewness0.16347506
Sum48207.07
Variance0.058896428
MonotonicityNot monotonic
2023-12-13T01:40:09.540163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.2358922 2
 
0.5%
126.7014326 1
 
0.3%
126.3052494 1
 
0.3%
126.4114027 1
 
0.3%
126.4062374 1
 
0.3%
126.3977283 1
 
0.3%
126.3667693 1
 
0.3%
126.373405 1
 
0.3%
126.3504243 1
 
0.3%
126.388043 1
 
0.3%
Other values (370) 370
97.1%
ValueCountFrequency (%)
126.1478169 1
0.3%
126.1631082 1
0.3%
126.1661833 1
0.3%
126.166382 1
0.3%
126.167514 1
0.3%
126.1676909 1
0.3%
126.1706467 1
0.3%
126.1729521 1
0.3%
126.1738465 1
0.3%
126.174844 1
0.3%
ValueCountFrequency (%)
126.967151 1
0.3%
126.965 1
0.3%
126.963586 1
0.3%
126.958237 1
0.3%
126.9565077 1
0.3%
126.947017 1
0.3%
126.943225 1
0.3%
126.9405375 1
0.3%
126.9336425 1
0.3%
126.9332874 1
0.3%

면적
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)100.0%
Missing242
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean1548708.1
Minimum2
Maximum1.74 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T01:40:09.684129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile788.59
Q133591.5
median186485
Q3427119.5
95-th percentile851165.7
Maximum1.74 × 108
Range1.74 × 108
Interquartile range (IQR)393528

Descriptive statistics

Standard deviation14738166
Coefficient of variation (CV)9.5164262
Kurtosis138.80561
Mean1548708.1
Median Absolute Deviation (MAD)176849
Skewness11.777604
Sum2.1527042 × 108
Variance2.1721354 × 1014
MonotonicityNot monotonic
2023-12-13T01:40:09.839495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.0 1
 
0.3%
380707.0 1
 
0.3%
228379.0 1
 
0.3%
404264.0 1
 
0.3%
279921.0 1
 
0.3%
423814.0 1
 
0.3%
466283.0 1
 
0.3%
360185.0 1
 
0.3%
412245.0 1
 
0.3%
5376.0 1
 
0.3%
Other values (129) 129
33.9%
(Missing) 242
63.5%
ValueCountFrequency (%)
2.0 1
0.3%
57.66 1
0.3%
90.0 1
0.3%
117.413 1
0.3%
160.0 1
0.3%
435.34 1
0.3%
550.0 1
0.3%
815.1 1
0.3%
1143.5 1
0.3%
1618.0 1
0.3%
ValueCountFrequency (%)
174000000.0 1
0.3%
2836857.0 1
0.3%
1900000.0 1
0.3%
1546757.0 1
0.3%
1322314.0 1
0.3%
1320000.0 1
0.3%
951657.0 1
0.3%
840000.0 1
0.3%
835758.0 1
0.3%
818809.0 1
0.3%

지정일자
Date

MISSING 

Distinct50
Distinct (%)98.0%
Missing330
Missing (%)86.6%
Memory size3.1 KiB
Minimum1961-11-30 00:00:00
Maximum2022-08-11 00:00:00
2023-12-13T01:40:09.972572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:10.111031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수용인원수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing372
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1383.1111
Minimum8
Maximum5000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T01:40:10.220791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12.8
Q120
median600
Q32000
95-th percentile4600
Maximum5000
Range4992
Interquartile range (IQR)1980

Descriptive statistics

Standard deviation1892.2175
Coefficient of variation (CV)1.3680879
Kurtosis0.27515638
Mean1383.1111
Median Absolute Deviation (MAD)580
Skewness1.3021646
Sum12448
Variance3580487.1
MonotonicityNot monotonic
2023-12-13T01:40:10.318013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 2
 
0.5%
2000 1
 
0.3%
700 1
 
0.3%
600 1
 
0.3%
4000 1
 
0.3%
5000 1
 
0.3%
8 1
 
0.3%
100 1
 
0.3%
(Missing) 372
97.6%
ValueCountFrequency (%)
8 1
0.3%
20 2
0.5%
100 1
0.3%
600 1
0.3%
700 1
0.3%
2000 1
0.3%
4000 1
0.3%
5000 1
0.3%
ValueCountFrequency (%)
5000 1
0.3%
4000 1
0.3%
2000 1
0.3%
700 1
0.3%
600 1
0.3%
100 1
0.3%
20 2
0.5%
8 1
0.3%

주차가능수
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)76.7%
Missing351
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean97.233333
Minimum0
Maximum822
Zeros3
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T01:40:10.428462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median52
Q3127.5
95-th percentile255
Maximum822
Range822
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation155.98645
Coefficient of variation (CV)1.6042487
Kurtosis16.630548
Mean97.233333
Median Absolute Deviation (MAD)47.5
Skewness3.7261542
Sum2917
Variance24331.771
MonotonicityNot monotonic
2023-12-13T01:40:10.861065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
0.8%
130 3
 
0.8%
15 3
 
0.8%
200 2
 
0.5%
180 1
 
0.3%
90 1
 
0.3%
10 1
 
0.3%
120 1
 
0.3%
100 1
 
0.3%
24 1
 
0.3%
Other values (13) 13
 
3.4%
(Missing) 351
92.1%
ValueCountFrequency (%)
0 3
0.8%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
10 1
 
0.3%
15 3
0.8%
20 1
 
0.3%
24 1
 
0.3%
30 1
 
0.3%
41 1
 
0.3%
ValueCountFrequency (%)
822 1
 
0.3%
300 1
 
0.3%
200 2
0.5%
180 1
 
0.3%
130 3
0.8%
120 1
 
0.3%
100 1
 
0.3%
94 1
 
0.3%
90 1
 
0.3%
78 1
 
0.3%

관광지소개
Text

UNIQUE 

Distinct381
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:11.206099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length263
Median length87
Mean length43.826772
Min length9

Characters and Unicode

Total characters16698
Distinct characters721
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)100.0%

Sample

1st row바다와 한라산 전망을 동시에 누리는 Seaside Resort
2nd row때묻지 않은 기암절벽이 아름다운 해양경승지
3rd row아이들의 오감을 자극하는 친환경 프리미엄 테마파크
4th row사색을 즐기며 걷기 좋은 숲길
5th row신령스러운 산이라는 뜻의 '영아리'와 분화구에 물이 고인 습지를 품고 있기에 '물'이라는 접두어가 붙은 오름
ValueCountFrequency (%)
있는 116
 
2.8%
수 89
 
2.2%
오름 55
 
1.3%
곳 47
 
1.1%
있음 38
 
0.9%
제주 27
 
0.7%
위치한 23
 
0.6%
볼 22
 
0.5%
있으며 20
 
0.5%
화구를 20
 
0.5%
Other values (2577) 3679
89.0%
2023-12-13T01:40:11.771161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3757
 
22.5%
이 338
 
2.0%
는 301
 
1.8%
의 256
 
1.5%
을 222
 
1.3%
로 219
 
1.3%
에 219
 
1.3%
있 217
 
1.3%
한 194
 
1.2%
, 176
 
1.1%
Other values (711) 10799
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12252
73.4%
Space Separator 3757
 
22.5%
Decimal Number 348
 
2.1%
Other Punctuation 213
 
1.3%
Lowercase Letter 47
 
0.3%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Initial Punctuation 9
 
0.1%
Final Punctuation 9
 
0.1%
Math Symbol 6
 
< 0.1%
Other values (4) 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 338
 
2.8%
는 301
 
2.5%
의 256
 
2.1%
을 222
 
1.8%
로 219
 
1.8%
에 219
 
1.8%
있 217
 
1.8%
한 194
 
1.6%
가 171
 
1.4%
고 170
 
1.4%
Other values (665) 9945
81.2%
Decimal Number
ValueCountFrequency (%)
0 65
18.7%
1 62
17.8%
2 48
13.8%
3 36
10.3%
4 33
9.5%
9 26
 
7.5%
6 23
 
6.6%
5 23
 
6.6%
8 20
 
5.7%
7 12
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
m 32
68.1%
k 4
 
8.5%
e 3
 
6.4%
s 2
 
4.3%
t 1
 
2.1%
r 1
 
2.1%
o 1
 
2.1%
d 1
 
2.1%
i 1
 
2.1%
a 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 176
82.6%
. 17
 
8.0%
' 11
 
5.2%
· 5
 
2.3%
: 2
 
0.9%
& 1
 
0.5%
! 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
R 1
20.0%
J 1
20.0%
A 1
20.0%
M 1
20.0%
Math Symbol
ValueCountFrequency (%)
~ 3
50.0%
∙ 2
33.3%
∼ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 22
95.7%
「 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
」 1
 
4.3%
Other Symbol
ValueCountFrequency (%)
㎡ 3
75.0%
㎞ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
3757
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%
Format
ValueCountFrequency (%)
​ 1
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12226
73.2%
Common 4394
 
26.3%
Latin 52
 
0.3%
Han 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 338
 
2.8%
는 301
 
2.5%
의 256
 
2.1%
을 222
 
1.8%
로 219
 
1.8%
에 219
 
1.8%
있 217
 
1.8%
한 194
 
1.6%
가 171
 
1.4%
고 170
 
1.4%
Other values (644) 9919
81.1%
Common
ValueCountFrequency (%)
3757
85.5%
, 176
 
4.0%
0 65
 
1.5%
1 62
 
1.4%
2 48
 
1.1%
3 36
 
0.8%
4 33
 
0.8%
9 26
 
0.6%
6 23
 
0.5%
5 23
 
0.5%
Other values (21) 145
 
3.3%
Han
ValueCountFrequency (%)
岳 5
19.2%
馬 2
 
7.7%
峰 1
 
3.8%
旨 1
 
3.8%
楮 1
 
3.8%
藻 1
 
3.8%
團 1
 
3.8%
塊 1
 
3.8%
紅 1
 
3.8%
水 1
 
3.8%
Other values (11) 11
42.3%
Latin
ValueCountFrequency (%)
m 32
61.5%
k 4
 
7.7%
e 3
 
5.8%
s 2
 
3.8%
S 1
 
1.9%
R 1
 
1.9%
t 1
 
1.9%
r 1
 
1.9%
o 1
 
1.9%
d 1
 
1.9%
Other values (5) 5
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12226
73.2%
ASCII 4412
 
26.4%
CJK 26
 
0.2%
Punctuation 19
 
0.1%
None 8
 
< 0.1%
CJK Compat 4
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3757
85.2%
, 176
 
4.0%
0 65
 
1.5%
1 62
 
1.4%
2 48
 
1.1%
3 36
 
0.8%
4 33
 
0.7%
m 32
 
0.7%
9 26
 
0.6%
6 23
 
0.5%
Other values (25) 154
 
3.5%
Hangul
ValueCountFrequency (%)
이 338
 
2.8%
는 301
 
2.5%
의 256
 
2.1%
을 222
 
1.8%
로 219
 
1.8%
에 219
 
1.8%
있 217
 
1.8%
한 194
 
1.6%
가 171
 
1.4%
고 170
 
1.4%
Other values (644) 9919
81.1%
Punctuation
ValueCountFrequency (%)
‘ 9
47.4%
’ 9
47.4%
​ 1
 
5.3%
None
ValueCountFrequency (%)
· 5
62.5%
「 1
 
12.5%
」 1
 
12.5%
² 1
 
12.5%
CJK
ValueCountFrequency (%)
岳 5
19.2%
馬 2
 
7.7%
峰 1
 
3.8%
旨 1
 
3.8%
楮 1
 
3.8%
藻 1
 
3.8%
團 1
 
3.8%
塊 1
 
3.8%
紅 1
 
3.8%
水 1
 
3.8%
Other values (11) 11
42.3%
CJK Compat
ValueCountFrequency (%)
㎡ 3
75.0%
㎞ 1
 
25.0%
Math Operators
ValueCountFrequency (%)
∙ 2
66.7%
∼ 1
33.3%

휴무일
Categorical

IMBALANCE 

Distinct25
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
연중무휴
233 
<NA>
105 
월요일
 
8
동절기+간절기
 
7
목요일
 
3
Other values (20)
25 

Length

Max length33
Median length4
Mean length4.3254593
Min length3

Unique

Unique15 ?
Unique (%)3.9%

Sample

1st row매월1번째월요일
2nd row연중무휴
3rd row화요일
4th row연중무휴
5th row연중무휴

Common Values

ValueCountFrequency (%)
연중무휴 233
61.2%
<NA> 105
27.6%
월요일 8
 
2.1%
동절기+간절기 7
 
1.8%
목요일 3
 
0.8%
월요일+화요일 2
 
0.5%
월요일+명절 2
 
0.5%
월요일+연휴 2
 
0.5%
화요일 2
 
0.5%
매월1번째월요일 2
 
0.5%
Other values (15) 15
 
3.9%

Length

2023-12-13T01:40:11.952625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 234
60.8%
na 105
27.3%
월요일 8
 
2.1%
동절기+간절기 7
 
1.8%
목요일 3
 
0.8%
월요일+연휴 2
 
0.5%
화요일 2
 
0.5%
매월1번째월요일 2
 
0.5%
월요일+명절 2
 
0.5%
월요일+화요일 2
 
0.5%
Other values (18) 18
 
4.7%

운영시간
Text

MISSING 

Distinct77
Distinct (%)42.8%
Missing201
Missing (%)52.8%
Memory size3.1 KiB
2023-12-13T01:40:12.142295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length22
Mean length26.055556
Min length1

Characters and Unicode

Total characters4690
Distinct characters41
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)31.1%

Sample

1st row(평일+주말+공휴일)11:00~20:00
2nd row(평일+주말+공휴일)10:00~18:00
3rd row(평일+주말+공휴일)10:00~18:00
4th row(평일+주말+공휴일)09:00~18:00
5th row(평일+주말+공휴일)06:00~21:00
ValueCountFrequency (%)
평일+주말+공휴일)00:00~24:00 27
 
15.0%
평일+주말+공휴일)09:00~18:00 27
 
15.0%
평일+주말)09:00~18:00 14
 
7.8%
평일+주말+공휴일)10:00~18:00 10
 
5.6%
평일+주말+공휴일)09:00~19:00 5
 
2.8%
평일+주말+공휴일)09:00~17:00 5
 
2.8%
평일+주말+공휴일+하절기)09:00~17:50+(평일+주말+공휴일+동절기)09:00~16:30+(평일+주말+공휴일+간절기)09:00~17:20 4
 
2.2%
평일+주말+공휴일)10:00~17:00 4
 
2.2%
평일+주말+공휴일+하절기)09:00~18:00+(평일+주말+공휴일+동절기)09:00~17:00 3
 
1.7%
평일+주말)09:00~17:00 3
 
1.7%
Other values (67) 78
43.3%
2023-12-13T01:40:12.455812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1043
22.2%
+ 433
 
9.2%
: 431
 
9.2%
일 361
 
7.7%
1 226
 
4.8%
( 215
 
4.6%
) 215
 
4.6%
~ 213
 
4.5%
평 198
 
4.2%
말 191
 
4.1%
Other values (31) 1164
24.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1725
36.8%
Other Letter 1453
31.0%
Math Symbol 646
 
13.8%
Other Punctuation 433
 
9.2%
Open Punctuation 215
 
4.6%
Close Punctuation 215
 
4.6%
Space Separator 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 361
24.8%
평 198
13.6%
말 191
13.1%
주 191
13.1%
공 160
11.0%
휴 159
10.9%
절 58
 
4.0%
기 58
 
4.0%
하 25
 
1.7%
동 25
 
1.7%
Other values (13) 27
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 1043
60.5%
1 226
 
13.1%
9 140
 
8.1%
8 101
 
5.9%
2 59
 
3.4%
7 55
 
3.2%
3 47
 
2.7%
4 34
 
2.0%
6 12
 
0.7%
5 8
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 433
67.0%
~ 213
33.0%
Other Punctuation
ValueCountFrequency (%)
: 431
99.5%
/ 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 215
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3237
69.0%
Hangul 1453
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 361
24.8%
평 198
13.6%
말 191
13.1%
주 191
13.1%
공 160
11.0%
휴 159
10.9%
절 58
 
4.0%
기 58
 
4.0%
하 25
 
1.7%
동 25
 
1.7%
Other values (13) 27
 
1.9%
Common
ValueCountFrequency (%)
0 1043
32.2%
+ 433
13.4%
: 431
13.3%
1 226
 
7.0%
( 215
 
6.6%
) 215
 
6.6%
~ 213
 
6.6%
9 140
 
4.3%
8 101
 
3.1%
2 59
 
1.8%
Other values (8) 161
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3237
69.0%
Hangul 1453
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1043
32.2%
+ 433
13.4%
: 431
13.3%
1 226
 
7.0%
( 215
 
6.6%
) 215
 
6.6%
~ 213
 
6.6%
9 140
 
4.3%
8 101
 
3.1%
2 59
 
1.8%
Other values (8) 161
 
5.0%
Hangul
ValueCountFrequency (%)
일 361
24.8%
평 198
13.6%
말 191
13.1%
주 191
13.1%
공 160
11.0%
휴 159
10.9%
절 58
 
4.0%
기 58
 
4.0%
하 25
 
1.7%
동 25
 
1.7%
Other values (13) 27
 
1.9%

요금정보
Text

MISSING 

Distinct119
Distinct (%)44.1%
Missing111
Missing (%)29.1%
Memory size3.1 KiB
2023-12-13T01:40:12.597605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length207
Median length2
Mean length23.737037
Min length2

Characters and Unicode

Total characters6409
Distinct characters240
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)41.9%

Sample

1st row11000원(온천탕성인)+9000원(온천탕어린이)+22000원(아쿠아나주중성인)+20000원(아쿠아나주중어린이)+26000원(아쿠아나주말성인)+21000원(아쿠아나주말어린이)+30000원(아쿠아나성수기성인)+26000원(아쿠아나성수기어린이)
2nd row무료
3rd row25000원(24개월이상13세까지아동)+15000원(중학생이상성인+장애아동)+무료(24개월미만유아)+9500원(장애성인)+3000원(코코몽기차1회탑승권+카레이싱1회이용권)+6000원(자유이용권)
4th row무료
5th row무료
ValueCountFrequency (%)
무료 144
50.2%
요금 5
 
1.7%
상이 4
 
1.4%
12000원(성인개인)+10000원(경로개인+성인단체+성인도민)+9000원(경로단체+경로도민)+8000원(청소년개인)+7000원(청소년단체+어린이개인)+6000원(청소년도민+어린이단체)+5500원(어린이도민 4
 
1.4%
프로그램별 3
 
1.0%
10000원 2
 
0.7%
2000원(성인)+1000원(청소년+군인)+500원(어린이)+무료(6세이하+경로+장애인 2
 
0.7%
12000원(성인)+10000원(청소년)+8000원(어린이 2
 
0.7%
17000원(성인 1
 
0.3%
시간에 1
 
0.3%
Other values (119) 119
41.5%
2023-12-13T01:40:12.881480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1170
18.3%
+ 494
 
7.7%
) 391
 
6.1%
( 391
 
6.1%
원 379
 
5.9%
인 268
 
4.2%
1 177
 
2.8%
료 163
 
2.5%
무 161
 
2.5%
이 161
 
2.5%
Other values (230) 2654
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3261
50.9%
Decimal Number 1818
28.4%
Math Symbol 494
 
7.7%
Close Punctuation 391
 
6.1%
Open Punctuation 391
 
6.1%
Uppercase Letter 20
 
0.3%
Space Separator 17
 
0.3%
Lowercase Letter 12
 
0.2%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 379
 
11.6%
인 268
 
8.2%
료 163
 
5.0%
무 161
 
4.9%
이 161
 
4.9%
성 133
 
4.1%
어 111
 
3.4%
체 110
 
3.4%
린 110
 
3.4%
년 98
 
3.0%
Other values (203) 1567
48.1%
Decimal Number
ValueCountFrequency (%)
0 1170
64.4%
1 177
 
9.7%
5 116
 
6.4%
2 97
 
5.3%
3 67
 
3.7%
6 53
 
2.9%
8 42
 
2.3%
4 42
 
2.3%
7 28
 
1.5%
9 26
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
35.0%
B 6
30.0%
E 2
 
10.0%
V 2
 
10.0%
T 2
 
10.0%
C 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
g 5
41.7%
k 3
25.0%
p 2
 
16.7%
i 2
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
% 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 494
100.0%
Close Punctuation
ValueCountFrequency (%)
) 391
100.0%
Open Punctuation
ValueCountFrequency (%)
( 391
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3259
50.9%
Common 3116
48.6%
Latin 32
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 379
 
11.6%
인 268
 
8.2%
료 163
 
5.0%
무 161
 
4.9%
이 161
 
4.9%
성 133
 
4.1%
어 111
 
3.4%
체 110
 
3.4%
린 110
 
3.4%
년 98
 
3.0%
Other values (202) 1565
48.0%
Common
ValueCountFrequency (%)
0 1170
37.5%
+ 494
15.9%
) 391
 
12.5%
( 391
 
12.5%
1 177
 
5.7%
5 116
 
3.7%
2 97
 
3.1%
3 67
 
2.2%
6 53
 
1.7%
8 42
 
1.3%
Other values (7) 118
 
3.8%
Latin
ValueCountFrequency (%)
A 7
21.9%
B 6
18.8%
g 5
15.6%
k 3
9.4%
p 2
 
6.2%
E 2
 
6.2%
V 2
 
6.2%
T 2
 
6.2%
i 2
 
6.2%
C 1
 
3.1%
Han
ValueCountFrequency (%)
展 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3259
50.9%
ASCII 3148
49.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1170
37.2%
+ 494
15.7%
) 391
 
12.4%
( 391
 
12.4%
1 177
 
5.6%
5 116
 
3.7%
2 97
 
3.1%
3 67
 
2.1%
6 53
 
1.7%
8 42
 
1.3%
Other values (17) 150
 
4.8%
Hangul
ValueCountFrequency (%)
원 379
 
11.6%
인 268
 
8.2%
료 163
 
5.0%
무 161
 
4.9%
이 161
 
4.9%
성 133
 
4.1%
어 111
 
3.4%
체 110
 
3.4%
린 110
 
3.4%
년 98
 
3.0%
Other values (202) 1565
48.0%
CJK
ValueCountFrequency (%)
展 2
100.0%

주요목적
Text

MISSING 

Distinct105
Distinct (%)28.6%
Missing14
Missing (%)3.7%
Memory size3.1 KiB
2023-12-13T01:40:13.142169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.400545
Min length1

Characters and Unicode

Total characters1248
Distinct characters125
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)19.6%

Sample

1st row관광+포토
2nd row포토스팟
3rd row관광+포토
4th row걷기
5th row걷기+등산
ValueCountFrequency (%)
관람 46
 
11.9%
등산 40
 
10.3%
등반 37
 
9.5%
체험 25
 
6.4%
오름탐방 17
 
4.4%
공연+전시 13
 
3.4%
산책 13
 
3.4%
프로그램체험 12
 
3.1%
물놀이 10
 
2.6%
걷기+등산 8
 
2.1%
Other values (96) 167
43.0%
2023-12-13T01:40:13.507807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
등 87
 
7.0%
관 86
 
6.9%
산 78
 
6.2%
+ 64
 
5.1%
체 55
 
4.4%
험 55
 
4.4%
람 55
 
4.4%
반 38
 
3.0%
공 31
 
2.5%
전 29
 
2.3%
Other values (115) 670
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1152
92.3%
Math Symbol 64
 
5.1%
Space Separator 29
 
2.3%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 87
 
7.6%
관 86
 
7.5%
산 78
 
6.8%
체 55
 
4.8%
험 55
 
4.8%
람 55
 
4.8%
반 38
 
3.3%
공 31
 
2.7%
전 29
 
2.5%
연 29
 
2.5%
Other values (110) 609
52.9%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 64
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1152
92.3%
Common 96
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 87
 
7.6%
관 86
 
7.5%
산 78
 
6.8%
체 55
 
4.8%
험 55
 
4.8%
람 55
 
4.8%
반 38
 
3.3%
공 31
 
2.7%
전 29
 
2.5%
연 29
 
2.5%
Other values (110) 609
52.9%
Common
ValueCountFrequency (%)
+ 64
66.7%
29
30.2%
3 1
 
1.0%
. 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1152
92.3%
ASCII 96
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
등 87
 
7.6%
관 86
 
7.5%
산 78
 
6.8%
체 55
 
4.8%
험 55
 
4.8%
람 55
 
4.8%
반 38
 
3.3%
공 31
 
2.7%
전 29
 
2.5%
연 29
 
2.5%
Other values (110) 609
52.9%
ASCII
ValueCountFrequency (%)
+ 64
66.7%
29
30.2%
3 1
 
1.0%
. 1
 
1.0%
4 1
 
1.0%

편의시설
Text

MISSING 

Distinct103
Distinct (%)49.5%
Missing173
Missing (%)45.4%
Memory size3.1 KiB
2023-12-13T01:40:13.713614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length54
Mean length18.538462
Min length3

Characters and Unicode

Total characters3856
Distinct characters110
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

Unique71 ?
Unique (%)34.1%

Sample

1st row공용주차장+현금결제+카드결제+화장실+무료WIFI+금연구역+편의점+음료대+유도 및 안내시설+경보 및 피난시설+임산부휴게시설+엘리베이터
2nd row공중화장실
3rd row화장실+주차장
4th row주차장+편의점
5th row현금결제+신용카드+반려동물동반
ValueCountFrequency (%)
및 65
19.2%
안내시설+경보 22
 
6.5%
공용주차장 21
 
6.2%
피난시설 17
 
5.0%
안내시설 17
 
5.0%
주차장+화장실 15
 
4.4%
공용주차장+현금결제+카드결제+화장실+무료wifi 10
 
3.0%
주차장 8
 
2.4%
공용주차장+화장실 8
 
2.4%
공용주차장+공용화장실+무료wifi 6
 
1.8%
Other values (94) 149
44.1%
2023-12-13T01:40:14.059824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 537
 
13.9%
장 365
 
9.5%
차 188
 
4.9%
주 186
 
4.8%
실 166
 
4.3%
화 161
 
4.2%
공 143
 
3.7%
용 143
 
3.7%
132
 
3.4%
I 130
 
3.4%
Other values (100) 1705
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2923
75.8%
Math Symbol 537
 
13.9%
Uppercase Letter 260
 
6.7%
Space Separator 132
 
3.4%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 365
 
12.5%
차 188
 
6.4%
주 186
 
6.4%
실 166
 
5.7%
화 161
 
5.5%
공 143
 
4.9%
용 143
 
4.9%
료 105
 
3.6%
설 83
 
2.8%
시 83
 
2.8%
Other values (93) 1300
44.5%
Uppercase Letter
ValueCountFrequency (%)
I 130
50.0%
F 65
25.0%
W 65
25.0%
Math Symbol
ValueCountFrequency (%)
+ 537
100.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2923
75.8%
Common 673
 
17.5%
Latin 260
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 365
 
12.5%
차 188
 
6.4%
주 186
 
6.4%
실 166
 
5.7%
화 161
 
5.5%
공 143
 
4.9%
용 143
 
4.9%
료 105
 
3.6%
설 83
 
2.8%
시 83
 
2.8%
Other values (93) 1300
44.5%
Common
ValueCountFrequency (%)
+ 537
79.8%
132
 
19.6%
) 2
 
0.3%
( 2
 
0.3%
Latin
ValueCountFrequency (%)
I 130
50.0%
F 65
25.0%
W 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2923
75.8%
ASCII 933
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 537
57.6%
132
 
14.1%
I 130
 
13.9%
F 65
 
7.0%
W 65
 
7.0%
) 2
 
0.2%
( 2
 
0.2%
Hangul
ValueCountFrequency (%)
장 365
 
12.5%
차 188
 
6.4%
주 186
 
6.4%
실 166
 
5.7%
화 161
 
5.5%
공 143
 
4.9%
용 143
 
4.9%
료 105
 
3.6%
설 83
 
2.8%
시 83
 
2.8%
Other values (93) 1300
44.5%

관리기관명
Text

MISSING 

Distinct170
Distinct (%)52.5%
Missing57
Missing (%)15.0%
Memory size3.1 KiB
2023-12-13T01:40:14.274397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length6.9907407
Min length3

Characters and Unicode

Total characters2265
Distinct characters313
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)48.1%

Sample

1st row금호제주리조트
2nd row제주특별자치도 서귀포시 남원읍사무소
3rd row제주에코빌리지
4th row제주특별자치도 서귀포시 남원읍 수망리사무소
5th row제주도청
ValueCountFrequency (%)
제주도청 108
25.8%
제주시청 30
 
7.2%
제주특별자치도 28
 
6.7%
제주시 18
 
4.3%
서귀포시 8
 
1.9%
주식회사 6
 
1.4%
서귀포시청 5
 
1.2%
한림읍 5
 
1.2%
추자면사무소 4
 
1.0%
한림공원 4
 
1.0%
Other values (181) 203
48.4%
2023-12-13T01:40:14.661303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 248
 
10.9%
제 232
 
10.2%
도 150
 
6.6%
청 145
 
6.4%
118
 
5.2%
시 64
 
2.8%
자 42
 
1.9%
사 41
 
1.8%
원 38
 
1.7%
리 37
 
1.6%
Other values (303) 1150
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2093
92.4%
Space Separator 118
 
5.2%
Decimal Number 13
 
0.6%
Lowercase Letter 12
 
0.5%
Other Symbol 9
 
0.4%
Close Punctuation 8
 
0.4%
Open Punctuation 8
 
0.4%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 248
 
11.8%
제 232
 
11.1%
도 150
 
7.2%
청 145
 
6.9%
시 64
 
3.1%
자 42
 
2.0%
사 41
 
2.0%
원 38
 
1.8%
리 37
 
1.8%
치 29
 
1.4%
Other values (281) 1067
51.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
y 2
16.7%
i 1
8.3%
g 1
8.3%
e 1
8.3%
s 1
8.3%
r 1
8.3%
d 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
3 3
23.1%
5 2
 
15.4%
7 1
 
7.7%
1 1
 
7.7%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
118
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2102
92.8%
Common 149
 
6.6%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 248
 
11.8%
제 232
 
11.0%
도 150
 
7.1%
청 145
 
6.9%
시 64
 
3.0%
자 42
 
2.0%
사 41
 
2.0%
원 38
 
1.8%
리 37
 
1.8%
치 29
 
1.4%
Other values (282) 1076
51.2%
Common
ValueCountFrequency (%)
118
79.2%
) 8
 
5.4%
( 8
 
5.4%
2 5
 
3.4%
3 3
 
2.0%
5 2
 
1.3%
- 1
 
0.7%
7 1
 
0.7%
1 1
 
0.7%
4 1
 
0.7%
Latin
ValueCountFrequency (%)
C 2
14.3%
a 2
14.3%
l 2
14.3%
y 2
14.3%
i 1
7.1%
g 1
7.1%
e 1
7.1%
s 1
7.1%
r 1
7.1%
d 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2093
92.4%
ASCII 163
 
7.2%
None 9
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 248
 
11.8%
제 232
 
11.1%
도 150
 
7.2%
청 145
 
6.9%
시 64
 
3.1%
자 42
 
2.0%
사 41
 
2.0%
원 38
 
1.8%
리 37
 
1.8%
치 29
 
1.4%
Other values (281) 1067
51.0%
ASCII
ValueCountFrequency (%)
118
72.4%
) 8
 
4.9%
( 8
 
4.9%
2 5
 
3.1%
3 3
 
1.8%
C 2
 
1.2%
5 2
 
1.2%
a 2
 
1.2%
l 2
 
1.2%
y 2
 
1.2%
Other values (11) 11
 
6.7%
None
ValueCountFrequency (%)
㈜ 9
100.0%

관리기관전화번호
Text

MISSING 

Distinct172
Distinct (%)52.3%
Missing52
Missing (%)13.6%
Memory size3.1 KiB
2023-12-13T01:40:14.914144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.8328267
Min length7

Characters and Unicode

Total characters3235
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)48.6%

Sample

1st row064-760-4181
2nd row1661-4284
3rd row064-764-1089
4th row064-120
5th row064-120
ValueCountFrequency (%)
064-120 143
43.5%
064-728-1526 4
 
1.2%
064-796-0001 4
 
1.2%
1670-1188 2
 
0.6%
064-797-5773 2
 
0.6%
064-760-6321 2
 
0.6%
064-728-3985 2
 
0.6%
064-710-7801 2
 
0.6%
064-796-7222 2
 
0.6%
064-760-2772 2
 
0.6%
Other values (162) 164
49.8%
2023-12-13T01:40:15.345095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 681
21.1%
- 507
15.7%
4 394
12.2%
6 392
12.1%
2 279
8.6%
7 263
 
8.1%
1 262
 
8.1%
8 145
 
4.5%
9 113
 
3.5%
3 107
 
3.3%
Other values (2) 92
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2726
84.3%
Dash Punctuation 507
 
15.7%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 681
25.0%
4 394
14.5%
6 392
14.4%
2 279
10.2%
7 263
 
9.6%
1 262
 
9.6%
8 145
 
5.3%
9 113
 
4.1%
3 107
 
3.9%
5 90
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 507
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 681
21.1%
- 507
15.7%
4 394
12.2%
6 392
12.1%
2 279
8.6%
7 263
 
8.1%
1 262
 
8.1%
8 145
 
4.5%
9 113
 
3.5%
3 107
 
3.3%
Other values (2) 92
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 681
21.1%
- 507
15.7%
4 394
12.2%
6 392
12.1%
2 279
8.6%
7 263
 
8.1%
1 262
 
8.1%
8 145
 
4.5%
9 113
 
3.5%
3 107
 
3.3%
Other values (2) 92
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2022-09-30
381 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-09-30
5th row2022-09-30

Common Values

ValueCountFrequency (%)
2022-09-30 381
100.0%

Length

2023-12-13T01:40:15.497358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:40:15.616755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 381
100.0%

Sample

마을명시군구명읍면동명행정리명관광지명관광지유형소재지도로명주소소재지지번주소위도경도면적지정일자수용인원수주차가능수관광지소개휴무일운영시간요금정보주요목적편의시설관리기관명관리기관전화번호데이터기준일자
0남원1리마을서귀포시남원읍남원1리금호제주리조트 아쿠아나워터파크제주특별자치도 서귀포시 남원읍 태위로 522-12제주특별자치도 서귀포시 남원읍 남원리 239033.272643126.701433<NA><NA><NA><NA>바다와 한라산 전망을 동시에 누리는 Seaside Resort매월1번째월요일<NA>11000원(온천탕성인)+9000원(온천탕어린이)+22000원(아쿠아나주중성인)+20000원(아쿠아나주중어린이)+26000원(아쿠아나주말성인)+21000원(아쿠아나주말어린이)+30000원(아쿠아나성수기성인)+26000원(아쿠아나성수기어린이)관광+포토공용주차장+현금결제+카드결제+화장실+무료WIFI+금연구역+편의점+음료대+유도 및 안내시설+경보 및 피난시설+임산부휴게시설+엘리베이터금호제주리조트<NA>2022-09-30
1남원1리마을서귀포시남원읍남원1리큰엉해안경승지자연명소제주특별자치도 서귀포시 남원읍 태위로 522-17제주특별자치도 서귀포시 남원읍 남원리 2379-333.273343126.703709<NA><NA><NA><NA>때묻지 않은 기암절벽이 아름다운 해양경승지연중무휴(평일+주말+공휴일)11:00~20:00무료포토스팟공중화장실제주특별자치도 서귀포시 남원읍사무소064-760-41812022-09-30
2남원1리마을서귀포시남원읍남원1리코코몽 에코파크테마파크제주특별자치도 서귀포시 남원읍 태위로 536제주특별자치도 서귀포시 남원읍 남원리 238033.274558126.705851<NA><NA><NA><NA>아이들의 오감을 자극하는 친환경 프리미엄 테마파크화요일(평일+주말+공휴일)10:00~18:0025000원(24개월이상13세까지아동)+15000원(중학생이상성인+장애아동)+무료(24개월미만유아)+9500원(장애성인)+3000원(코코몽기차1회탑승권+카레이싱1회이용권)+6000원(자유이용권)관광+포토화장실+주차장제주에코빌리지1661-42842022-09-30
3수망리마을서귀포시남원읍수망리마흐니 숲길숲길<NA>제주특별자치도 서귀포시 남원읍 수망리 산20333.379447126.655193<NA><NA><NA><NA>사색을 즐기며 걷기 좋은 숲길연중무휴<NA>무료걷기<NA>제주특별자치도 서귀포시 남원읍 수망리사무소064-764-10892022-09-30
4수망리마을서귀포시남원읍수망리물영아리오름오름<NA>제주특별자치도 서귀포시 남원읍 수망리 산 18933.370809126.69352717013.02000-12-05<NA><NA>신령스러운 산이라는 뜻의 '영아리'와 분화구에 물이 고인 습지를 품고 있기에 '물'이라는 접두어가 붙은 오름연중무휴<NA>무료걷기+등산주차장+편의점제주도청064-1202022-09-30
5신례1리마을서귀포시남원읍신례1리양금석가옥문화재제주특별자치도 서귀포시 남원읍 신례로298번길 3-6제주특별자치도 서귀포시 남원읍 신례1리 131433.291317126.62848<NA>1978-11-14<NA><NA>제주도 전통 초가 양식으로 이루어진 가옥연중무휴<NA>무료관람<NA>제주도청064-1202022-09-30
6신례1리마을서귀포시남원읍신례1리동백포레스트식물원+수목원제주특별자치도 서귀포시 남원읍 생기악로 53-38제주특별자치도 서귀포시 남원읍 신례리 176733.300307126.6362<NA><NA><NA><NA>사진찍기 좋은 신례리 동백나무 군락지월요일+화요일(평일+주말+공휴일)10:00~18:004000원(성인)+3000원(제주도민+초등학생+경로)+무료(미취학아동+국가유공자)관광+포토현금결제+신용카드+반려동물동반동백포레스트0507-1331-21022022-09-30
7신례1리마을서귀포시남원읍신례1리이승이오름(이승악)오름<NA>제주특별자치도 서귀포시 남원읍 신례리 산 2-433.340144126.622244332070.0<NA><NA><NA>살쾡이를 닮아서 이승이란 이름을 갖게 된 오름연중무휴<NA>무료걷기+등산화장실+정자+주차장제주도청064-1202022-09-30
8신례1리마을서귀포시남원읍신례1리사라오름오름<NA>제주특별자치도 서귀포시 남원읍 신례리 산 2-133.371928126.57083462863.02011-10-13<NA><NA>노루 떼가 뛰어노는 모습이 한 폭의 그림 같은 곳임연중무휴<NA>무료걷기+등산<NA>제주도청064-1202022-09-30
9신례1리마을서귀포시남원읍신례1리휴애리 자연생활공원자연공원제주특별자치도 서귀포시 남원읍 신례동로 256제주특별자치도 서귀포시 남원읍 신례리 208133.309386126.63540565000.02007-05-052000200자연 속 동식물들과 교감이 있는 체험형 자연생활공원연중무휴(평일+주말+공휴일)09:00~18:0013000원(성인)+11000원(청소년+성인단체)+10000원(어린이)+9000원(청소년단체)+8000원(어린이단체)+6500원(경로+유공자성인+장애인성인+제주도민성인)+5500원(유공자청소년+장애인청소년+제주도민청소년)+5000원(유공자어린이+장애인어린이+제주도민어린이)체험+공연+전시+포토스팟공용주차장+현금결제+카드결제+화장실+무료WIFI+편의점+음료대+유도 및 안내시설+경보 및 피난시설+임산부휴게시설휴애리064-732-21142022-09-30
마을명시군구명읍면동명행정리명관광지명관광지유형소재지도로명주소소재지지번주소위도경도면적지정일자수용인원수주차가능수관광지소개휴무일운영시간요금정보주요목적편의시설관리기관명관리기관전화번호데이터기준일자
371월림리마을제주시한림읍월림리제주카트클럽카트장제주특별자치도 제주시 한림읍 중산간서로 3853제주특별자치도 제주시 한림읍 월림리 341-233.347716126.256<NA><NA><NA><NA>남녀노소 누구나 스피드를 즐길 수 있는 카트체험장연중무휴(평일+주말+공휴일)09:00~19:0025000원(1인용)+35000원(2인용)카트체험공용주차장+화장실제주카트클럽064-772-50802022-09-30
372월림리마을제주시한림읍월림리더마파크테마파크제주특별자치도 제주시 한림읍 월림7길 155제주특별자치도 제주시 한림읍 월림리 산 833.354137126.244323<NA><NA><NA>100말전문 테마공원으로 기마공연과 함께 고품격승마등 볼거리와 즐길 거리가 함께 있는 체험형 테마공원연중무휴(평일+주말+공휴일)09:00~17:0020000원(공연관람성인)+18000원(공연관람청소년)+15000원(공연관람어린이)+12000원(승마A코스)+25000원(카트체험1인승)+35000원(카트체험2인승)승마공연 및 승마체험공용주차장+화장실+무료WIFI+편의점+경보 및 피난시설+엘리베이터라온더마파크064-795-80802022-09-30
373협재리마을제주시한림읍협재리협재굴동굴<NA>제주특별자치도 제주시 한림읍 협재리 260033.387006126.240167<NA><NA><NA><NA>천연기념물 236호로 세계 제3대 불가사의 동굴로 꼽히는 용암동굴연중무휴(평일+주말+공휴일+하절기)09:00~17:50+(평일+주말+공휴일+동절기)09:00~16:30+(평일+주말+공휴일+간절기)09:00~17:2012000원(성인개인)+10000원(경로개인+성인단체+성인도민)+9000원(경로단체+경로도민)+8000원(청소년개인)+7000원(청소년단체+어린이개인)+6000원(청소년도민+어린이단체)+5500원(어린이도민)관람공용주차장+현금결제+카드결제+화장실+무료WIFI+흡연구역+편의점+음료대+유도 및 안내시설주식회사 한림공원064-796-00012022-09-30
374협재리마을제주시한림읍협재리쌍용굴동굴<NA>제주특별자치도 제주시 한림읍 협재리 260033.386451126.240871<NA><NA><NA><NA>한림공원 내에 위치한 두 마리의 용이 빠져 나온 것 같다고 하여 이름 붙여진 쌍용굴연중무휴(평일+주말+공휴일+하절기)09:00~17:50+(평일+주말+공휴일+동절기)09:00~16:30+(평일+주말+공휴일+간절기)09:00~17:2012000원(성인개인)+10000원(경로개인+성인단체+성인도민)+9000원(경로단체+경로도민)+8000원(청소년개인)+7000원(청소년단체+어린이개인)+6000원(청소년도민+어린이단체)+5500원(어린이도민)관람공용주차장+현금결제+카드결제+화장실+무료WIFI+흡연구역+편의점+음료대+유도 및 안내시설주식회사 한림공원064-796-00012022-09-30
375협재리마을제주시한림읍협재리황금굴동굴<NA>제주특별자치도 제주시 한림읍 협재리 260033.386753126.24162<NA><NA><NA><NA>원형보존이 잘 되어 있고 희귀한 용암굴연중무휴(평일+주말+공휴일+하절기)09:00~17:50+(평일+주말+공휴일+동절기)09:00~16:30+(평일+주말+공휴일+간절기)09:00~17:2012000원(성인개인)+10000원(경로개인+성인단체+성인도민)+9000원(경로단체+경로도민)+8000원(청소년개인)+7000원(청소년단체+어린이개인)+6000원(청소년도민+어린이단체)+5500원(어린이도민)관람공용주차장+현금결제+카드결제+화장실+무료WIFI+흡연구역+편의점+음료대+유도 및 안내시설주식회사 한림공원064-796-00012022-09-30
376협재리마을제주시한림읍협재리한림공원식물원제주특별자치도 제주시 한림읍 한림로 300제주특별자치도 제주시 한림읍 협재리 248733.389003126.240239<NA><NA><NA><NA>10만 평 대지 위에 펼쳐지는 환상적인 10가지 테마파크연중무휴(평일+주말+공휴일+하절기)09:00~17:50+(평일+주말+공휴일+동절기)09:00~16:30+(평일+주말+공휴일+간절기)09:00~17:2012000원(성인개인)+10000원(경로개인+성인단체+성인도민)+9000원(경로단체+경로도민)+8000원(청소년개인)+7000원(청소년단체+어린이개인)+6000원(청소년도민+어린이단체)+5500원(어린이도민)포토스팟공용주차장+현금결제+카드결제+화장실+무료WIFI+흡연구역+편의점+음료대+유도 및 안내시설주식회사 한림공원064-796-00012022-09-30
377협재리마을제주시한림읍협재리협재포구포구<NA>제주특별자치도 제주시 한림읍 협재리 1458-233.399101126.243881<NA><NA><NA><NA>비양도가 보이는 포구연중무휴<NA><NA>관람<NA><NA><NA>2022-09-30
378협재리마을제주시한림읍협재리협재해수욕장해수욕장<NA>제주특별자치도 제주시 한림읍 협재리 244733.393791126.23916<NA><NA><NA>120비양도, 은모래, 바다가 그려낸 그림같이 아름다운 해변연중무휴<NA><NA>물놀이공용주차장+화장실+편의점+음료대+유도 및 안내시설+경보 및 피난시설<NA>064-728-39812022-09-30
379금능리마을제주시한림읍금능리금능원담축제축제<NA>제주특별자치도 제주시 한림읍 금능리 2036-233.390435126.235892<NA><NA><NA><NA>오늘날 사라져가는 원담을 널리 알리고 보존하기 위한 축제동절기+간절기<NA>무료<NA>주차장+화장실금능원담축제추진위원회<NA>2022-09-30
380금악리마을제주시한림읍금악리힐하우스 스파온천+스파제주특별자치도 제주시 한림읍 한창로 925-122제주특별자치도 제주시 한림읍 금악리 84-133.335963126.312348<NA><NA><NA>10더힐하우스스파는 블랙스톤 골프호텔 단지 내에 위치하고 있으며 편안한 분위기와 현대식 시설을 갖춘 전문 스파연중무휴(평일+주말+공휴일)11:00~22:00187000원(골퍼스핸디캡)+236000원(아로마틱스파80분+스톤에너지80분)+256000원(바디에센셜80분+림파틱80분)+420000원(디톡스랩120분+안티셀룰라이트랩)스파주차장+무료WIFI+화장실더힐하우스0507-1322-23802022-09-30