Overview

Dataset statistics

Number of variables13
Number of observations199
Missing cells391
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory106.7 B

Variable types

Text8
Categorical1
Numeric2
DateTime2

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXETRRSRTINFO

Alerts

33.3937480 is highly overall correlated with 126.2394319High correlation
126.2394319 is highly overall correlated with 33.3937480High correlation
협재해변 has 173 (86.9%) missing valuesMissing
7월1일~8월31일까지 has 70 (35.2%) missing valuesMissing
주차/화장실/편의점/음료대/안내시설/경보및피난시설 has 11 (5.5%) missing valuesMissing
064-728-3981 has 28 (14.1%) missing valuesMissing
Unnamed: 10 has 109 (54.8%) missing valuesMissing
협재해수욕장 has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:15:36.869075
Analysis finished2023-12-10 06:15:40.153531
Duration3.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

협재해수욕장
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:40.418820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length6.0351759
Min length2

Characters and Unicode

Total characters1201
Distinct characters315
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row곽지해수욕장
2nd row김녕해수욕장
3rd row절물자연휴양림
4th row노루생태관찰원
5th row제주별빛누리공원
ValueCountFrequency (%)
제주 6
 
2.5%
2
 
0.8%
제주올레 2
 
0.8%
평대리해변 1
 
0.4%
환상숲 1
 
0.4%
곶자왈공원 1
 
0.4%
남원큰엉해변 1
 
0.4%
섯알오름 1
 
0.4%
김녕 1
 
0.4%
월정 1
 
0.4%
Other values (219) 219
92.8%
2023-12-10T15:15:41.084277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
3.1%
주 37
 
3.1%
제 37
 
3.1%
해 33
 
2.7%
관 28
 
2.3%
지 25
 
2.1%
원 22
 
1.8%
리 21
 
1.7%
도 17
 
1.4%
산 17
 
1.4%
Other values (305) 927
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
95.3%
Space Separator 37
 
3.1%
Decimal Number 12
 
1.0%
Other Punctuation 4
 
0.3%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
3.2%
제 37
 
3.2%
해 33
 
2.9%
관 28
 
2.4%
지 25
 
2.2%
원 22
 
1.9%
리 21
 
1.8%
도 17
 
1.5%
산 17
 
1.5%
물 17
 
1.5%
Other values (293) 891
77.8%
Decimal Number
ValueCountFrequency (%)
7 2
16.7%
3 2
16.7%
4 2
16.7%
1 2
16.7%
0 2
16.7%
8 1
8.3%
6 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1145
95.3%
Common 56
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
3.2%
제 37
 
3.2%
해 33
 
2.9%
관 28
 
2.4%
지 25
 
2.2%
원 22
 
1.9%
리 21
 
1.8%
도 17
 
1.5%
산 17
 
1.5%
물 17
 
1.5%
Other values (293) 891
77.8%
Common
ValueCountFrequency (%)
37
66.1%
. 2
 
3.6%
& 2
 
3.6%
7 2
 
3.6%
~ 2
 
3.6%
3 2
 
3.6%
4 2
 
3.6%
1 2
 
3.6%
0 2
 
3.6%
8 1
 
1.8%
Other values (2) 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
95.3%
ASCII 56
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
66.1%
. 2
 
3.6%
& 2
 
3.6%
7 2
 
3.6%
~ 2
 
3.6%
3 2
 
3.6%
4 2
 
3.6%
1 2
 
3.6%
0 2
 
3.6%
8 1
 
1.8%
Other values (2) 2
 
3.6%
Hangul
ValueCountFrequency (%)
주 37
 
3.2%
제 37
 
3.2%
해 33
 
2.9%
관 28
 
2.4%
지 25
 
2.2%
원 22
 
1.9%
리 21
 
1.8%
도 17
 
1.5%
산 17
 
1.5%
물 17
 
1.5%
Other values (293) 891
77.8%

협재해변
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing173
Missing (%)86.9%
Memory size1.7 KiB
2023-12-10T15:15:41.427957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8846154
Min length3

Characters and Unicode

Total characters153
Distinct characters91
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

Unique26 ?
Unique (%)100.0%

Sample

1st row곽지과물해수욕장
2nd row김녕성세기해변
3rd row중문대포해안
4th row선임교
5th row거문오름
ValueCountFrequency (%)
중문색달해변 1
 
3.8%
중문대포해안 1
 
3.8%
표선해비치해변 1
 
3.8%
형제해안도로 1
 
3.8%
당오름 1
 
3.8%
성산포종합여객터미널 1
 
3.8%
남원큰엉해안경승지 1
 
3.8%
군산오름/코메오름 1
 
3.8%
지질트레일 1
 
3.8%
하도해수욕장 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T15:15:42.123733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 14
 
9.2%
변 6
 
3.9%
수 5
 
3.3%
름 5
 
3.3%
오 5
 
3.3%
장 4
 
2.6%
욕 4
 
2.6%
산 4
 
2.6%
세 3
 
2.0%
도 3
 
2.0%
Other values (81) 100
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
99.3%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 14
 
9.2%
변 6
 
3.9%
수 5
 
3.3%
름 5
 
3.3%
오 5
 
3.3%
장 4
 
2.6%
욕 4
 
2.6%
산 4
 
2.6%
세 3
 
2.0%
도 3
 
2.0%
Other values (80) 99
65.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 14
 
9.2%
변 6
 
3.9%
수 5
 
3.3%
름 5
 
3.3%
오 5
 
3.3%
장 4
 
2.6%
욕 4
 
2.6%
산 4
 
2.6%
세 3
 
2.0%
도 3
 
2.0%
Other values (80) 99
65.1%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 14
 
9.2%
변 6
 
3.9%
수 5
 
3.3%
름 5
 
3.3%
오 5
 
3.3%
장 4
 
2.6%
욕 4
 
2.6%
산 4
 
2.6%
세 3
 
2.0%
도 3
 
2.0%
Other values (80) 99
65.1%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

7월1일~8월31일까지
Text

MISSING 

Distinct88
Distinct (%)68.2%
Missing70
Missing (%)35.2%
Memory size1.7 KiB
2023-12-10T15:15:42.516567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length63
Mean length20.294574
Min length2

Characters and Unicode

Total characters2618
Distinct characters153
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

Unique78 ?
Unique (%)60.5%

Sample

1st row7월1일~8월31일까지
2nd row7월1일~8월31일까지
3rd row입장료면제(만 6세 이하 또는 만65세 이상인 사람)/다자녀가정30%할인
4th row09:00 - 18:00(3월~10월)/09:00 - 17:00(11월~2월)
5th row14:00 - 22:00(10월~3월)/15:00 - 23:00(4월~9월)/월요일휴무
ValueCountFrequency (%)
44
 
9.9%
09:00 20
 
4.5%
연중무휴 16
 
3.6%
무료 16
 
3.6%
입장마감 14
 
3.2%
매일 12
 
2.7%
휴관 11
 
2.5%
월요일 9
 
2.0%
휴무 9
 
2.0%
휴관/추석 8
 
1.8%
Other values (201) 285
64.2%
2023-12-10T15:15:43.204416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
12.1%
0 294
 
11.2%
1 148
 
5.7%
: 140
 
5.3%
/ 106
 
4.0%
월 94
 
3.6%
휴 93
 
3.6%
일 91
 
3.5%
무 85
 
3.2%
3 59
 
2.3%
Other values (143) 1192
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
46.6%
Decimal Number 686
26.2%
Space Separator 316
 
12.1%
Other Punctuation 248
 
9.5%
Dash Punctuation 41
 
1.6%
Open Punctuation 36
 
1.4%
Close Punctuation 36
 
1.4%
Math Symbol 36
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 94
 
7.7%
휴 93
 
7.6%
일 91
 
7.5%
무 85
 
7.0%
장 57
 
4.7%
입 47
 
3.9%
매 46
 
3.8%
마 39
 
3.2%
감 39
 
3.2%
료 35
 
2.9%
Other values (124) 593
48.6%
Decimal Number
ValueCountFrequency (%)
0 294
42.9%
1 148
21.6%
3 59
 
8.6%
7 50
 
7.3%
9 46
 
6.7%
8 43
 
6.3%
2 23
 
3.4%
6 11
 
1.6%
5 6
 
0.9%
4 6
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 140
56.5%
/ 106
42.7%
% 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 35
97.2%
= 1
 
2.8%
Space Separator
ValueCountFrequency (%)
316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1399
53.4%
Hangul 1219
46.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 94
 
7.7%
휴 93
 
7.6%
일 91
 
7.5%
무 85
 
7.0%
장 57
 
4.7%
입 47
 
3.9%
매 46
 
3.8%
마 39
 
3.2%
감 39
 
3.2%
료 35
 
2.9%
Other values (124) 593
48.6%
Common
ValueCountFrequency (%)
316
22.6%
0 294
21.0%
1 148
10.6%
: 140
10.0%
/ 106
 
7.6%
3 59
 
4.2%
7 50
 
3.6%
9 46
 
3.3%
8 43
 
3.1%
- 41
 
2.9%
Other values (9) 156
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1399
53.4%
Hangul 1219
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
22.6%
0 294
21.0%
1 148
10.6%
: 140
10.0%
/ 106
 
7.6%
3 59
 
4.2%
7 50
 
3.6%
9 46
 
3.3%
8 43
 
3.1%
- 41
 
2.9%
Other values (9) 156
11.2%
Hangul
ValueCountFrequency (%)
월 94
 
7.7%
휴 93
 
7.6%
일 91
 
7.5%
무 85
 
7.0%
장 57
 
4.7%
입 47
 
3.9%
매 46
 
3.8%
마 39
 
3.2%
감 39
 
3.2%
료 35
 
2.9%
Other values (124) 593
48.6%

주차/화장실/편의점/음료대/안내시설/경보및피난시설
Text

MISSING 

Distinct93
Distinct (%)49.5%
Missing11
Missing (%)5.5%
Memory size1.7 KiB
2023-12-10T15:15:43.482104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length21.835106
Min length2

Characters and Unicode

Total characters4105
Distinct characters71
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

Unique66 ?
Unique (%)35.1%

Sample

1st row주차/화장실/편의점/음료대/안내시설/경보및피난시설
2nd row주차/화장실/편의점/음료대/안내시설/경보및피난시설
3rd row주차/약수터/연못/잔디광장/세미나실/산책로
4th row주차/와이파이/화장실/음료대/유도및안내시설
5th row주차/예약/와이파이/유아시설(놀이방)/남녀화장실구분/장애인편의시설
ValueCountFrequency (%)
주차장 40
 
21.3%
주차 9
 
4.8%
주차장/화장실 7
 
3.7%
화장실 6
 
3.2%
주차장/화장실/편의점/음료대/유도및안내시설 6
 
3.2%
주차/화장실 4
 
2.1%
주차장/화장실/편의점/음료대/유도및안내시설/경보및피난시설 4
 
2.1%
주차장/화장실/유도및안내시설 3
 
1.6%
주차장/현금결제/카드결제/화장실/편의점/음료대/유도및안내시설/경보및피난시설 3
 
1.6%
주차장/현금결제/카드결제/화장실/와이파이/흡연구역/편의점/음료대/유도및안내시설/경보및피난시설/임산부휴게시설 3
 
1.6%
Other values (83) 103
54.8%
2023-12-10T15:15:44.062095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 665
 
16.2%
장 244
 
5.9%
설 174
 
4.2%
시 174
 
4.2%
주 172
 
4.2%
차 172
 
4.2%
및 155
 
3.8%
결 137
 
3.3%
제 136
 
3.3%
실 134
 
3.3%
Other values (61) 1942
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3438
83.8%
Other Punctuation 665
 
16.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 244
 
7.1%
설 174
 
5.1%
시 174
 
5.1%
주 172
 
5.0%
차 172
 
5.0%
및 155
 
4.5%
결 137
 
4.0%
제 136
 
4.0%
실 134
 
3.9%
화 132
 
3.8%
Other values (58) 1808
52.6%
Other Punctuation
ValueCountFrequency (%)
/ 665
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3438
83.8%
Common 667
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 244
 
7.1%
설 174
 
5.1%
시 174
 
5.1%
주 172
 
5.0%
차 172
 
5.0%
및 155
 
4.5%
결 137
 
4.0%
제 136
 
4.0%
실 134
 
3.9%
화 132
 
3.8%
Other values (58) 1808
52.6%
Common
ValueCountFrequency (%)
/ 665
99.7%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3438
83.8%
ASCII 667
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 665
99.7%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
장 244
 
7.1%
설 174
 
5.1%
시 174
 
5.1%
주 172
 
5.0%
차 172
 
5.0%
및 155
 
4.5%
결 137
 
4.0%
제 136
 
4.0%
실 134
 
3.9%
화 132
 
3.8%
Other values (58) 1808
52.6%

해수욕장
Categorical

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
등산
28 
테마파크
19 
자연명소
17 
해수욕장
16 
박물관
16 
Other values (30)
103 

Length

Max length5
Median length4
Mean length3.0351759
Min length1

Unique

Unique10 ?
Unique (%)5.0%

Sample

1st row해수욕장
2nd row해수욕장
3rd row휴양림
4th row공원
5th row공원

Common Values

ValueCountFrequency (%)
등산 28
14.1%
테마파크 19
 
9.5%
자연명소 17
 
8.5%
해수욕장 16
 
8.0%
박물관 16
 
8.0%
지역명소 14
 
7.0%
체험 12
 
6.0%
해변 8
 
4.0%
드라이브 7
 
3.5%
공원 6
 
3.0%
Other values (25) 56
28.1%

Length

2023-12-10T15:15:44.262457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등산 28
14.1%
테마파크 19
 
9.5%
자연명소 17
 
8.5%
해수욕장 16
 
8.0%
박물관 16
 
8.0%
지역명소 14
 
7.0%
체험 12
 
6.0%
해변 8
 
4.0%
드라이브 7
 
3.5%
공원 6
 
3.0%
Other values (25) 56
28.1%

064-728-3981
Text

MISSING 

Distinct150
Distinct (%)87.7%
Missing28
Missing (%)14.1%
Memory size1.7 KiB
2023-12-10T15:15:44.631754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.97076
Min length9

Characters and Unicode

Total characters2047
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

Unique140 ?
Unique (%)81.9%

Sample

1st row064-728-3958
2nd row064-728-3988
3rd row064-728-1510
4th row064-728-3611
5th row064-728-8900
ValueCountFrequency (%)
064-710-6043 7
 
4.1%
064-728-3394 6
 
3.5%
064-760-2772 3
 
1.8%
064-713-9950 3
 
1.8%
064-760-3192 2
 
1.2%
064-728-2752 2
 
1.2%
064-760-3567 2
 
1.2%
064-710-7826 2
 
1.2%
064-762-2190 2
 
1.2%
064-760-6321 2
 
1.2%
Other values (140) 140
81.9%
2023-12-10T15:15:45.240254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
17.0%
- 339
16.6%
6 259
12.7%
4 254
12.4%
7 231
11.3%
1 118
 
5.8%
2 118
 
5.8%
8 114
 
5.6%
3 112
 
5.5%
9 91
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1708
83.4%
Dash Punctuation 339
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
20.4%
6 259
15.2%
4 254
14.9%
7 231
13.5%
1 118
 
6.9%
2 118
 
6.9%
8 114
 
6.7%
3 112
 
6.6%
9 91
 
5.3%
5 63
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 339
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2047
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
17.0%
- 339
16.6%
6 259
12.7%
4 254
12.4%
7 231
11.3%
1 118
 
5.8%
2 118
 
5.8%
8 114
 
5.6%
3 112
 
5.5%
9 91
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2047
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
17.0%
- 339
16.6%
6 259
12.7%
4 254
12.4%
7 231
11.3%
1 118
 
5.8%
2 118
 
5.8%
8 114
 
5.6%
3 112
 
5.5%
9 91
 
4.4%

제주 제주시 한림읍 한림로 329-10
Text

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:45.734985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length18.768844
Min length10

Characters and Unicode

Total characters3735
Distinct characters168
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

Unique189 ?
Unique (%)95.0%

Sample

1st row제주 제주시 애월읍 곽지리
2nd row제주 제주시 구좌읍 구좌해안로 237
3rd row제주 제주시 명림로 584
4th row제주 제주시 명림로 520
5th row제주 제주시 선돌목동길 60
ValueCountFrequency (%)
제주 198
21.4%
제주시 101
 
10.9%
서귀포시 97
 
10.5%
구좌읍 19
 
2.0%
안덕면 19
 
2.0%
조천읍 16
 
1.7%
성산읍 14
 
1.5%
애월읍 12
 
1.3%
표선면 10
 
1.1%
대정읍 8
 
0.9%
Other values (312) 433
46.7%
2023-12-10T15:15:46.480451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
734
19.7%
주 302
 
8.1%
제 301
 
8.1%
시 200
 
5.4%
1 144
 
3.9%
로 135
 
3.6%
서 112
 
3.0%
2 104
 
2.8%
포 98
 
2.6%
귀 97
 
2.6%
Other values (158) 1508
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2253
60.3%
Space Separator 734
 
19.7%
Decimal Number 685
 
18.3%
Dash Punctuation 63
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 302
 
13.4%
제 301
 
13.4%
시 200
 
8.9%
로 135
 
6.0%
서 112
 
5.0%
포 98
 
4.3%
귀 97
 
4.3%
읍 86
 
3.8%
산 46
 
2.0%
면 43
 
1.9%
Other values (146) 833
37.0%
Decimal Number
ValueCountFrequency (%)
1 144
21.0%
2 104
15.2%
0 72
10.5%
5 69
10.1%
6 65
9.5%
3 54
 
7.9%
4 53
 
7.7%
7 50
 
7.3%
8 43
 
6.3%
9 31
 
4.5%
Space Separator
ValueCountFrequency (%)
734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2253
60.3%
Common 1482
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 302
 
13.4%
제 301
 
13.4%
시 200
 
8.9%
로 135
 
6.0%
서 112
 
5.0%
포 98
 
4.3%
귀 97
 
4.3%
읍 86
 
3.8%
산 46
 
2.0%
면 43
 
1.9%
Other values (146) 833
37.0%
Common
ValueCountFrequency (%)
734
49.5%
1 144
 
9.7%
2 104
 
7.0%
0 72
 
4.9%
5 69
 
4.7%
6 65
 
4.4%
- 63
 
4.3%
3 54
 
3.6%
4 53
 
3.6%
7 50
 
3.4%
Other values (2) 74
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2253
60.3%
ASCII 1482
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
734
49.5%
1 144
 
9.7%
2 104
 
7.0%
0 72
 
4.9%
5 69
 
4.7%
6 65
 
4.4%
- 63
 
4.3%
3 54
 
3.6%
4 53
 
3.6%
7 50
 
3.4%
Other values (2) 74
 
5.0%
Hangul
ValueCountFrequency (%)
주 302
 
13.4%
제 301
 
13.4%
시 200
 
8.9%
로 135
 
6.0%
서 112
 
5.0%
포 98
 
4.3%
귀 97
 
4.3%
읍 86
 
3.8%
산 46
 
2.0%
면 43
 
1.9%
Other values (146) 833
37.0%

협재리 2447
Text

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:47.094405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.3115578
Min length3

Characters and Unicode

Total characters1654
Distinct characters129
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

Unique189 ?
Unique (%)95.0%

Sample

1st row곽지리
2nd row김녕리 4330
3rd row봉개동 산78-37
4th row봉개동 산51-2
5th row오등동 10-34
ValueCountFrequency (%)
산 8
 
2.0%
서홍동 8
 
2.0%
고성리 7
 
1.8%
연평리 6
 
1.5%
색달동 6
 
1.5%
상창리 5
 
1.3%
선흘리 5
 
1.3%
교래리 4
 
1.0%
해안동 4
 
1.0%
사계리 4
 
1.0%
Other values (277) 339
85.6%
2023-12-10T15:15:47.966960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
12.0%
1 155
 
9.4%
리 122
 
7.4%
2 102
 
6.2%
- 96
 
5.8%
3 79
 
4.8%
동 73
 
4.4%
0 60
 
3.6%
5 59
 
3.6%
4 58
 
3.5%
Other values (119) 651
39.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
42.6%
Other Letter 655
39.6%
Space Separator 199
 
12.0%
Dash Punctuation 96
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 122
 
18.6%
동 73
 
11.1%
산 48
 
7.3%
서 17
 
2.6%
성 16
 
2.4%
달 13
 
2.0%
평 12
 
1.8%
상 12
 
1.8%
이 11
 
1.7%
홍 9
 
1.4%
Other values (107) 322
49.2%
Decimal Number
ValueCountFrequency (%)
1 155
22.0%
2 102
14.5%
3 79
11.2%
0 60
 
8.5%
5 59
 
8.4%
4 58
 
8.2%
6 56
 
8.0%
8 53
 
7.5%
7 43
 
6.1%
9 39
 
5.5%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 999
60.4%
Hangul 655
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 122
 
18.6%
동 73
 
11.1%
산 48
 
7.3%
서 17
 
2.6%
성 16
 
2.4%
달 13
 
2.0%
평 12
 
1.8%
상 12
 
1.8%
이 11
 
1.7%
홍 9
 
1.4%
Other values (107) 322
49.2%
Common
ValueCountFrequency (%)
199
19.9%
1 155
15.5%
2 102
10.2%
- 96
9.6%
3 79
 
7.9%
0 60
 
6.0%
5 59
 
5.9%
4 58
 
5.8%
6 56
 
5.6%
8 53
 
5.3%
Other values (2) 82
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 999
60.4%
Hangul 655
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
19.9%
1 155
15.5%
2 102
10.2%
- 96
9.6%
3 79
 
7.9%
0 60
 
6.0%
5 59
 
5.9%
4 58
 
5.8%
6 56
 
5.6%
8 53
 
5.3%
Other values (2) 82
8.2%
Hangul
ValueCountFrequency (%)
리 122
 
18.6%
동 73
 
11.1%
산 48
 
7.3%
서 17
 
2.6%
성 16
 
2.4%
달 13
 
2.0%
평 12
 
1.8%
상 12
 
1.8%
이 11
 
1.7%
홍 9
 
1.4%
Other values (107) 322
49.2%

33.3937480
Real number (ℝ)

HIGH CORRELATION 

Distinct193
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.380392
Minimum33.118608
Maximum33.557208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:48.249950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.118608
5-th percentile33.237103
Q133.276837
median33.392687
Q333.472296
95-th percentile33.532316
Maximum33.557208
Range0.4386002
Interquartile range (IQR)0.1954589

Descriptive statistics

Standard deviation0.10725891
Coefficient of variation (CV)0.0032132309
Kurtosis-1.3012835
Mean33.380392
Median Absolute Deviation (MAD)0.1002843
Skewness-0.12423993
Sum6642.698
Variance0.011504473
MonotonicityNot monotonic
2023-12-10T15:15:48.550609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3926868 2
 
1.0%
33.2729412 2
 
1.0%
33.4513646 2
 
1.0%
33.5059831 2
 
1.0%
33.2423924 2
 
1.0%
33.3265291 2
 
1.0%
33.4445628 1
 
0.5%
33.4556758 1
 
0.5%
33.4293598 1
 
0.5%
33.3845106 1
 
0.5%
Other values (183) 183
92.0%
ValueCountFrequency (%)
33.1186079 1
0.5%
33.1697319 1
0.5%
33.2041832 1
0.5%
33.2077669 1
0.5%
33.2100177 1
0.5%
33.2190593 1
0.5%
33.2223404 1
0.5%
33.2316941 1
0.5%
33.2338565 1
0.5%
33.2365498 1
0.5%
ValueCountFrequency (%)
33.5572081 1
0.5%
33.5551855 1
0.5%
33.5546234 1
0.5%
33.5509999 1
0.5%
33.545364 1
0.5%
33.5428268 1
0.5%
33.5410273 1
0.5%
33.5378712 1
0.5%
33.5362521 1
0.5%
33.5323494 1
0.5%

126.2394319
Real number (ℝ)

HIGH CORRELATION 

Distinct193
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.56171
Minimum126.16299
Maximum126.96512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:48.807629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16299
5-th percentile126.26241
Q1126.39066
median126.54791
Q3126.71148
95-th percentile126.92658
Maximum126.96512
Range0.8021333
Interquartile range (IQR)0.32081995

Descriptive statistics

Standard deviation0.21179729
Coefficient of variation (CV)0.0016734705
Kurtosis-0.94101294
Mean126.56171
Median Absolute Deviation (MAD)0.160298
Skewness0.21501506
Sum25185.781
Variance0.044858093
MonotonicityNot monotonic
2023-12-10T15:15:49.074667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4948405 2
 
1.0%
126.6750048 2
 
1.0%
126.656711 2
 
1.0%
126.9602566 2
 
1.0%
126.3139508 2
 
1.0%
126.8287399 2
 
1.0%
126.3130931 1
 
0.5%
126.4508725 1
 
0.5%
126.3071463 1
 
0.5%
126.8003767 1
 
0.5%
Other values (183) 183
92.0%
ValueCountFrequency (%)
126.1629872 1
0.5%
126.1712389 1
0.5%
126.1721474 1
0.5%
126.1841571 1
0.5%
126.2157124 1
0.5%
126.2362051 1
0.5%
126.2396912 1
0.5%
126.2459881 1
0.5%
126.2484149 1
0.5%
126.2550051 1
0.5%
ValueCountFrequency (%)
126.9651205 1
0.5%
126.9638072 1
0.5%
126.9602566 2
1.0%
126.9510167 1
0.5%
126.9437402 1
0.5%
126.9368007 1
0.5%
126.9322309 1
0.5%
126.9299773 1
0.5%
126.9277955 1
0.5%
126.9264499 1
0.5%

Unnamed: 10
Text

MISSING 

Distinct88
Distinct (%)97.8%
Missing109
Missing (%)54.8%
Memory size1.7 KiB
2023-12-10T15:15:49.605510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length33.444444
Min length17

Characters and Unicode

Total characters3010
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)95.6%

Sample

1st rowhttps://www.foresttrip.go.kr/indvz/main.do?hmpgId=ID02030053
2nd rowhttp://www.jejusi.go.kr/star/main.do
3rd rowhttp://www.ipcjeju.com/
4th rowhttp://www.mandukmuseum.or.kr/
5th rowhttp://jmoa.jeju.go.kr/kor/
ValueCountFrequency (%)
http://www.jeju.go.kr/hallasan/index.htm 2
 
2.2%
https://www.jejuolle.org/trail/kor 2
 
2.2%
https://morningsmile.modoo.at 1
 
1.1%
http://www.yeomiji.or.kr/main/main.jsp 1
 
1.1%
https://blog.naver.com/wannabelej 1
 
1.1%
http://www.namuggun.com 1
 
1.1%
http://www.jejupark.co.kr 1
 
1.1%
http://www.koreaautomuseum.com 1
 
1.1%
http://www.jeju.go.kr/seongeup/index.htm 1
 
1.1%
http://www.bontemuseum.com 1
 
1.1%
Other values (78) 78
86.7%
2023-12-10T15:15:50.461141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 309
 
10.3%
. 244
 
8.1%
t 242
 
8.0%
w 205
 
6.8%
e 177
 
5.9%
o 172
 
5.7%
h 147
 
4.9%
p 130
 
4.3%
r 126
 
4.2%
m 120
 
4.0%
Other values (37) 1138
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2326
77.3%
Other Punctuation 646
 
21.5%
Decimal Number 22
 
0.7%
Uppercase Letter 11
 
0.4%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 242
 
10.4%
w 205
 
8.8%
e 177
 
7.6%
o 172
 
7.4%
h 147
 
6.3%
p 130
 
5.6%
r 126
 
5.4%
m 120
 
5.2%
a 110
 
4.7%
n 101
 
4.3%
Other values (16) 796
34.2%
Decimal Number
ValueCountFrequency (%)
3 6
27.3%
0 6
27.3%
4 3
13.6%
2 2
 
9.1%
5 2
 
9.1%
7 1
 
4.5%
6 1
 
4.5%
1 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
I 2
18.2%
D 2
18.2%
V 1
 
9.1%
M 1
 
9.1%
H 1
 
9.1%
A 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 309
47.8%
. 244
37.8%
: 91
 
14.1%
? 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2337
77.6%
Common 673
 
22.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 242
 
10.4%
w 205
 
8.8%
e 177
 
7.6%
o 172
 
7.4%
h 147
 
6.3%
p 130
 
5.6%
r 126
 
5.4%
m 120
 
5.1%
a 110
 
4.7%
n 101
 
4.3%
Other values (23) 807
34.5%
Common
ValueCountFrequency (%)
/ 309
45.9%
. 244
36.3%
: 91
 
13.5%
3 6
 
0.9%
0 6
 
0.9%
4 3
 
0.4%
- 3
 
0.4%
? 2
 
0.3%
= 2
 
0.3%
2 2
 
0.3%
Other values (4) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 309
 
10.3%
. 244
 
8.1%
t 242
 
8.0%
w 205
 
6.8%
e 177
 
5.9%
o 172
 
5.7%
h 147
 
4.9%
p 130
 
4.3%
r 126
 
4.2%
m 120
 
4.0%
Other values (37) 1138
37.8%

09:00
Date

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-12-10 00:00:00
Maximum2023-12-10 18:00:00
2023-12-10T15:15:50.692150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:50.855604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

19:00
Date

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-12-10 00:00:00
Maximum2023-12-10 23:00:00
2023-12-10T15:15:51.021117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:51.172488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

Interactions

2023-12-10T15:15:38.992481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:38.708544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:39.123559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:38.836046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:15:51.299920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
협재해변7월1일~8월31일까지주차/화장실/편의점/음료대/안내시설/경보및피난시설해수욕장33.3937480126.2394319Unnamed: 1009:0019:00
협재해변1.0001.0001.0001.0001.0001.0001.0001.0001.000
7월1일~8월31일까지1.0001.0000.9860.9500.5280.7130.9930.9590.977
주차/화장실/편의점/음료대/안내시설/경보및피난시설1.0000.9861.0000.9470.0000.0990.9970.8380.872
해수욕장1.0000.9500.9471.0000.4360.0001.0000.7750.666
33.39374801.0000.5280.0000.4361.0000.6661.0000.0000.000
126.23943191.0000.7130.0990.0000.6661.0000.9890.0000.000
Unnamed: 101.0000.9930.9971.0001.0000.9891.0000.0000.989
09:001.0000.9590.8380.7750.0000.0000.0001.0000.927
19:001.0000.9770.8720.6660.0000.0000.9890.9271.000
2023-12-10T15:15:51.503907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
33.3937480126.2394319해수욕장
33.39374801.0000.5130.150
126.23943190.5131.0000.000
해수욕장0.1500.0001.000

Missing values

2023-12-10T15:15:39.364518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:15:39.687792image/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.
2023-12-10T15:15:40.020359image/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

협재해수욕장협재해변7월1일~8월31일까지주차/화장실/편의점/음료대/안내시설/경보및피난시설해수욕장064-728-3981제주 제주시 한림읍 한림로 329-10협재리 244733.3937480126.2394319Unnamed: 1009:0019:00
0곽지해수욕장곽지과물해수욕장7월1일~8월31일까지주차/화장실/편의점/음료대/안내시설/경보및피난시설해수욕장064-728-3958제주 제주시 애월읍 곽지리곽지리33.444563126.313093<NA>09:0019:00
1김녕해수욕장김녕성세기해변7월1일~8월31일까지주차/화장실/편의점/음료대/안내시설/경보및피난시설해수욕장064-728-3988제주 제주시 구좌읍 구좌해안로 237김녕리 433033.557208126.736551<NA>09:0019:00
2절물자연휴양림<NA>입장료면제(만 6세 이하 또는 만65세 이상인 사람)/다자녀가정30%할인주차/약수터/연못/잔디광장/세미나실/산책로휴양림064-728-1510제주 제주시 명림로 584봉개동 산78-3733.440049126.625203https://www.foresttrip.go.kr/indvz/main.do?hmpgId=ID0203005309:0018:00
3노루생태관찰원<NA>09:00 - 18:00(3월~10월)/09:00 - 17:00(11월~2월)주차/와이파이/화장실/음료대/유도및안내시설공원064-728-3611제주 제주시 명림로 520봉개동 산51-233.444324126.626689<NA>09:0018:00
4제주별빛누리공원<NA>14:00 - 22:00(10월~3월)/15:00 - 23:00(4월~9월)/월요일휴무주차/예약/와이파이/유아시설(놀이방)/남녀화장실구분/장애인편의시설공원064-728-8900제주 제주시 선돌목동길 60오등동 10-3433.444576126.549186http://www.jejusi.go.kr/star/main.do14:0022:00
5천지연폭포<NA>입장마감21:20주차/화장실/음료대/유도및안내시설/경보및피난시설폭포064-733-1528제주 서귀포시 남성중로 2-15서홍동 666-133.244717126.559551<NA>09:0021:00
6정방폭포<NA>매일 09:00 - 18:00(일몰시간에 따라 변경가능)주차/화장실/편의점/음료대/유도및안내시설/경보및피난시설폭포064-733-1530제주 서귀포시 칠십리로2 14번길 37동홍동 27833.244748126.57305<NA>09:0018:00
7중문대포주상절리대중문대포해안연중무휴현금결제/카드결제주차/편의점/음료대/유도및안내시설/경보및피난시설기념물064-738-1521제주 서귀포시 이어도로 36-30제주 서귀포시 중문동 2768-133.237994126.426018<NA>09:0018:00
8천제연폭포선임교매일 09:00 - 18:00(일몰시간에 따라 변경가능)주차/현금결제/카드결게폭포064-760-6331제주 서귀포시 천제연로 132중문동 223233.252676126.418374<NA>09:0018:00
9산방산<NA>평일 : 08:30 ~ 18:00/주말 : 08:00 ~ 18:00주차/현금결제/카드결제/화장실/편의점/음료대/유도및안내시설산064-794-2940제주 서귀포시 안덕면 사계리산 16사계리 산1633.242392126.313951<NA>09:0018:00
협재해수욕장협재해변7월1일~8월31일까지주차/화장실/편의점/음료대/안내시설/경보및피난시설해수욕장064-728-3981제주 제주시 한림읍 한림로 329-10협재리 244733.3937480126.2394319Unnamed: 1009:0019:00
189서귀포항<NA><NA>주차/화장실해변<NA>제주 서귀포시 칠십리로72번길 14서귀동 758-433.238905126.564869<NA>00:0000:00
190소천지<NA><NA><NA>해변<NA>제주 서귀포시 칠십리로485번길 2복목동 1637-1733.241751126.602711<NA>00:0000:00
191알작지해변<NA><NA><NA>해변<NA>제주 제주시 테우해안로 60내도동 47533.496175126.441226<NA>00:0000:00
192정물오름<NA><NA>주차장등산064-710-6043제주 제주시 한림읍 산록남로 214-12금악리 산52-533.338841126.335089<NA>00:0000:00
193제주베니스랜드더베니스랜드유료/장애인 입장료:12000원주차장/현금결제/카드결제/화장실/흡연구역/편의점/음료대/유도및안내시설/경보및피난시설테마파크064-784-6565제주 서귀포시 성산읍 난산리 2575서성일로 47433.415396126.840703http://theveniceland.com/09:0018:00
194제주커피박물관<NA>동절기:9:00~1800/하절기:09:00~19:00주차장/현금결제/카드결제/화장실/와이파이박물관064-784-2255제주 서귀포시 성산읍 서성일로1168번길 89-17고성리 2040-133.439849126.899003http://jejubaum.com/09:3018:30
195종달리해안도로<NA><NA><NA>드라이브<NA>제주 제주시 구좌읍 종달리 630-1동달리 630-133.482895126.901709<NA>00:0000:00
196터진목 & 성산면 4.3희생자 위령비<NA><NA>주차장유적<NA>제주 서귀포시 성산읍 일출로 88-19고성리 224-133.449957126.922345http://43archives.or.kr/viewHistoricSiteD.do?historicSiteSeq=1300:0000:00
197표선~세화해안도로<NA><NA><NA>드라이브064-760-2772제주 서귀포시 표선면 표선리표선리33.326529126.82874<NA>00:0000:00
198넥슨컴퓨터박물관<NA>방문시사전예약필요/월요일 휴무/설날 휴관/추석 휴관주차장/현금결제/카드결제/화장실/와이파이/흡연구역/편의점/음료대/유도및안내시설/경보및피난시설/임산부휴게시설/엘리베이터박물관064-745-1994제주 제주시 1100로 3198-8노형동 8633.47212126.4858https://nexoncomputermuseum.org/10:0018:00