Overview

Dataset statistics

Number of variables7
Number of observations79
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory58.7 B

Variable types

Text5
Categorical2

Dataset

Description경기도 착한여행 캠페인 참여 관광업체
Author경기관광공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=NUY0HYPQ89S9Q8T9EH1130764134&infSeq=1

Alerts

공사분담률(%) has constant value ""Constant
티켓형태 is highly imbalanced (61.2%)Imbalance
홈페이지 has 1 (1.3%) missing valuesMissing
관광업체명 has unique valuesUnique
전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:57:27.875363
Analysis finished2023-12-10 21:57:29.170451
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광업체명
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T06:57:29.331604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.7974684
Min length3

Characters and Unicode

Total characters537
Distinct characters210
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

Unique79 ?
Unique (%)100.0%

Sample

1st row서울랜드
2nd row한국민속촌
3rd row아침고요원예수목원
4th row고양원마운트
5th row허브아일랜드
ValueCountFrequency (%)
서울랜드 1
 
1.1%
가나아트파크 1
 
1.1%
농도원목장 1
 
1.1%
한터조랑말농장 1
 
1.1%
협동조합 1
 
1.1%
1박2일 1
 
1.1%
파주로 1
 
1.1%
서경들마을 1
 
1.1%
한국초콜릿연구소뮤지엄 1
 
1.1%
목아불교박물관 1
 
1.1%
Other values (78) 78
88.6%
2023-12-11T06:57:29.707460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 19
 
3.5%
을 17
 
3.2%
관 15
 
2.8%
원 14
 
2.6%
물 14
 
2.6%
박 13
 
2.4%
아 10
 
1.9%
장 9
 
1.7%
9
 
1.7%
이 8
 
1.5%
Other values (200) 409
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
96.1%
Space Separator 9
 
1.7%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 19
 
3.7%
을 17
 
3.3%
관 15
 
2.9%
원 14
 
2.7%
물 14
 
2.7%
박 13
 
2.5%
아 10
 
1.9%
장 9
 
1.7%
이 8
 
1.6%
미 8
 
1.6%
Other values (195) 389
75.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
96.1%
Common 21
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 19
 
3.7%
을 17
 
3.3%
관 15
 
2.9%
원 14
 
2.7%
물 14
 
2.7%
박 13
 
2.5%
아 10
 
1.9%
장 9
 
1.7%
이 8
 
1.6%
미 8
 
1.6%
Other values (195) 389
75.4%
Common
ValueCountFrequency (%)
9
42.9%
( 5
23.8%
) 5
23.8%
2 1
 
4.8%
1 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
96.1%
ASCII 21
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 19
 
3.7%
을 17
 
3.3%
관 15
 
2.9%
원 14
 
2.7%
물 14
 
2.7%
박 13
 
2.5%
아 10
 
1.9%
장 9
 
1.7%
이 8
 
1.6%
미 8
 
1.6%
Other values (195) 389
75.4%
ASCII
ValueCountFrequency (%)
9
42.9%
( 5
23.8%
) 5
23.8%
2 1
 
4.8%
1 1
 
4.8%

관광상품명
Text

Distinct71
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T06:57:29.893658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length10.43038
Min length3

Characters and Unicode

Total characters824
Distinct characters235
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)87.3%

Sample

1st row자유이용권
2nd row자유이용권
3rd row입장권 + 기념품
4th row워터파크 1인권
5th row입장권 + 허브향마스크 2장
ValueCountFrequency (%)
입장권 15
 
9.9%
7
 
4.6%
만들기 3
 
2.0%
자유이용권 3
 
2.0%
레일바이크 2
 
1.3%
워터파크 2
 
1.3%
기념품 2
 
1.3%
짚라인 2
 
1.3%
체험권 2
 
1.3%
나만의 2
 
1.3%
Other values (111) 111
73.5%
2023-12-11T06:57:30.199702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
8.7%
권 38
 
4.6%
장 35
 
4.2%
입 29
 
3.5%
체 29
 
3.5%
+ 29
 
3.5%
험 29
 
3.5%
기 22
 
2.7%
이 18
 
2.2%
) 14
 
1.7%
Other values (225) 509
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
81.4%
Space Separator 72
 
8.7%
Math Symbol 29
 
3.5%
Decimal Number 17
 
2.1%
Close Punctuation 14
 
1.7%
Open Punctuation 14
 
1.7%
Other Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
권 38
 
5.7%
장 35
 
5.2%
입 29
 
4.3%
체 29
 
4.3%
험 29
 
4.3%
기 22
 
3.3%
이 18
 
2.7%
만 12
 
1.8%
지 11
 
1.6%
들 10
 
1.5%
Other values (210) 438
65.3%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
4 4
23.5%
2 3
17.6%
0 3
17.6%
7 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
+ 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
81.4%
Common 150
 
18.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
권 38
 
5.7%
장 35
 
5.2%
입 29
 
4.3%
체 29
 
4.3%
험 29
 
4.3%
기 22
 
3.3%
이 18
 
2.7%
만 12
 
1.8%
지 11
 
1.6%
들 10
 
1.5%
Other values (210) 438
65.3%
Common
ValueCountFrequency (%)
72
48.0%
+ 29
19.3%
) 14
 
9.3%
( 14
 
9.3%
1 6
 
4.0%
4 4
 
2.7%
2 3
 
2.0%
0 3
 
2.0%
& 2
 
1.3%
- 1
 
0.7%
Other values (2) 2
 
1.3%
Latin
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
81.4%
ASCII 153
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
47.1%
+ 29
19.0%
) 14
 
9.2%
( 14
 
9.2%
1 6
 
3.9%
4 4
 
2.6%
2 3
 
2.0%
0 3
 
2.0%
& 2
 
1.3%
Z 1
 
0.7%
Other values (5) 5
 
3.3%
Hangul
ValueCountFrequency (%)
권 38
 
5.7%
장 35
 
5.2%
입 29
 
4.3%
체 29
 
4.3%
험 29
 
4.3%
기 22
 
3.3%
이 18
 
2.7%
만 12
 
1.8%
지 11
 
1.6%
들 10
 
1.5%
Other values (210) 438
65.3%

공사분담률(%)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
50
79 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50

Common Values

ValueCountFrequency (%)
50 79
100.0%

Length

2023-12-11T06:57:30.333347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:30.427435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50 79
100.0%

티켓형태
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
모바일
73 
지류
 
6

Length

Max length3
Median length3
Mean length2.9240506
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지류
2nd row지류
3rd row모바일
4th row지류
5th row모바일

Common Values

ValueCountFrequency (%)
모바일 73
92.4%
지류 6
 
7.6%

Length

2023-12-11T06:57:30.542895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:30.653590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모바일 73
92.4%
지류 6
 
7.6%

홈페이지
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Memory size764.0 B
2023-12-11T06:57:30.867296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length26.641026
Min length16

Characters and Unicode

Total characters2078
Distinct characters66
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

Unique78 ?
Unique (%)100.0%

Sample

1st rowhttp://www.seoulland.co.kr/
2nd rowhttp://www.koreanfolk.co.kr/
3rd rowhttp://www.morningcalm.co.kr/
4th rowhttps://onemount.co.kr/
5th rowhttp://www.herbisland.co.kr/
ValueCountFrequency (%)
http://www.seoulland.co.kr 1
 
1.3%
http://borigoge.invil.org/index.html 1
 
1.3%
http://www.pefl.kr 1
 
1.3%
https://kimpodadomuseum.modoo.at 1
 
1.3%
http://www.nongdo.co.kr 1
 
1.3%
http://gohanter.com 1
 
1.3%
http://www.seogyeong.kr 1
 
1.3%
http://www.koreachocolatemuseum.com 1
 
1.3%
http://www.moka.or.kr 1
 
1.3%
http://www.cehum.com 1
 
1.3%
Other values (68) 68
87.2%
2023-12-11T06:57:31.280452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 238
 
11.5%
w 205
 
9.9%
t 186
 
9.0%
. 185
 
8.9%
o 139
 
6.7%
p 106
 
5.1%
r 102
 
4.9%
h 94
 
4.5%
a 81
 
3.9%
: 78
 
3.8%
Other values (56) 664
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1525
73.4%
Other Punctuation 501
 
24.1%
Other Letter 42
 
2.0%
Decimal Number 8
 
0.4%
Uppercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 3
 
7.1%
양 2
 
4.8%
종 2
 
4.8%
물 2
 
4.8%
어 2
 
4.8%
촌 2
 
4.8%
체 2
 
4.8%
험 2
 
4.8%
마 2
 
4.8%
을 2
 
4.8%
Other values (20) 21
50.0%
Lowercase Letter
ValueCountFrequency (%)
w 205
13.4%
t 186
12.2%
o 139
 
9.1%
p 106
 
7.0%
r 102
 
6.7%
h 94
 
6.2%
a 81
 
5.3%
e 74
 
4.9%
m 70
 
4.6%
c 67
 
4.4%
Other values (15) 401
26.3%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
3 1
 
12.5%
5 1
 
12.5%
4 1
 
12.5%
2 1
 
12.5%
9 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 238
47.5%
. 185
36.9%
: 78
 
15.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1526
73.4%
Common 510
 
24.5%
Hangul 42
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 3
 
7.1%
양 2
 
4.8%
종 2
 
4.8%
물 2
 
4.8%
어 2
 
4.8%
촌 2
 
4.8%
체 2
 
4.8%
험 2
 
4.8%
마 2
 
4.8%
을 2
 
4.8%
Other values (20) 21
50.0%
Latin
ValueCountFrequency (%)
w 205
13.4%
t 186
12.2%
o 139
 
9.1%
p 106
 
6.9%
r 102
 
6.7%
h 94
 
6.2%
a 81
 
5.3%
e 74
 
4.8%
m 70
 
4.6%
c 67
 
4.4%
Other values (16) 402
26.3%
Common
ValueCountFrequency (%)
/ 238
46.7%
. 185
36.3%
: 78
 
15.3%
1 3
 
0.6%
3 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
- 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2036
98.0%
Hangul 42
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 238
 
11.7%
w 205
 
10.1%
t 186
 
9.1%
. 185
 
9.1%
o 139
 
6.8%
p 106
 
5.2%
r 102
 
5.0%
h 94
 
4.6%
a 81
 
4.0%
: 78
 
3.8%
Other values (26) 622
30.6%
Hangul
ValueCountFrequency (%)
관 3
 
7.1%
양 2
 
4.8%
종 2
 
4.8%
물 2
 
4.8%
어 2
 
4.8%
촌 2
 
4.8%
체 2
 
4.8%
험 2
 
4.8%
마 2
 
4.8%
을 2
 
4.8%
Other values (20) 21
50.0%

전화번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T06:57:31.550613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.987342
Min length9

Characters and Unicode

Total characters947
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

Unique79 ?
Unique (%)100.0%

Sample

1st row02-509-6214
2nd row031-288-1709
3rd row070-4010-5202
4th row1566-2232
5th row031-535-6495
ValueCountFrequency (%)
02-509-6214 1
 
1.3%
031-885-9952 1
 
1.3%
031-543-3600 1
 
1.3%
031-998-1000 1
 
1.3%
031-321-0445 1
 
1.3%
031-332-3695 1
 
1.3%
031-959-2353 1
 
1.3%
031-634-1089 1
 
1.3%
031-585-4691 1
 
1.3%
031-774-7786 1
 
1.3%
Other values (69) 69
87.3%
2023-12-11T06:57:31.948315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 157
16.6%
0 142
15.0%
3 131
13.8%
1 110
11.6%
5 88
9.3%
8 67
7.1%
2 59
 
6.2%
9 56
 
5.9%
4 51
 
5.4%
7 44
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 790
83.4%
Dash Punctuation 157
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
18.0%
3 131
16.6%
1 110
13.9%
5 88
11.1%
8 67
8.5%
2 59
7.5%
9 56
 
7.1%
4 51
 
6.5%
7 44
 
5.6%
6 42
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 157
16.6%
0 142
15.0%
3 131
13.8%
1 110
11.6%
5 88
9.3%
8 67
7.1%
2 59
 
6.2%
9 56
 
5.9%
4 51
 
5.4%
7 44
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 157
16.6%
0 142
15.0%
3 131
13.8%
1 110
11.6%
5 88
9.3%
8 67
7.1%
2 59
 
6.2%
9 56
 
5.9%
4 51
 
5.4%
7 44
 
4.6%

주소
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T06:57:32.220622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length22.607595
Min length14

Characters and Unicode

Total characters1786
Distinct characters185
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

Unique79 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 광명로 181 (막계동, 서울랜드)
2nd row경기도 용인시 기흥구 민속촌로 90 (보라동, 한국민속촌)
3rd row경기도 가평군 상면 수목원로 432
4th row경기도 고양시 일산서구 한류월드로 300 (대화동)
5th row경기도 포천시 신복면 청신로947번길 35
ValueCountFrequency (%)
경기도 79
 
19.2%
가평군 12
 
2.9%
파주시 11
 
2.7%
양평군 9
 
2.2%
포천시 8
 
1.9%
용인시 8
 
1.9%
처인구 7
 
1.7%
안산시 6
 
1.5%
단원구 5
 
1.2%
용문면 4
 
1.0%
Other values (225) 262
63.7%
2023-12-11T06:57:32.604250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
 
18.6%
도 82
 
4.6%
경 81
 
4.5%
기 81
 
4.5%
1 73
 
4.1%
시 56
 
3.1%
로 54
 
3.0%
3 46
 
2.6%
면 46
 
2.6%
2 41
 
2.3%
Other values (175) 893
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1076
60.2%
Space Separator 333
 
18.6%
Decimal Number 325
 
18.2%
Dash Punctuation 30
 
1.7%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 82
 
7.6%
경 81
 
7.5%
기 81
 
7.5%
시 56
 
5.2%
로 54
 
5.0%
면 46
 
4.3%
길 33
 
3.1%
평 27
 
2.5%
군 25
 
2.3%
천 21
 
2.0%
Other values (160) 570
53.0%
Decimal Number
ValueCountFrequency (%)
1 73
22.5%
3 46
14.2%
2 41
12.6%
5 31
9.5%
7 29
 
8.9%
0 25
 
7.7%
8 24
 
7.4%
4 22
 
6.8%
6 19
 
5.8%
9 15
 
4.6%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1076
60.2%
Common 710
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 82
 
7.6%
경 81
 
7.5%
기 81
 
7.5%
시 56
 
5.2%
로 54
 
5.0%
면 46
 
4.3%
길 33
 
3.1%
평 27
 
2.5%
군 25
 
2.3%
천 21
 
2.0%
Other values (160) 570
53.0%
Common
ValueCountFrequency (%)
333
46.9%
1 73
 
10.3%
3 46
 
6.5%
2 41
 
5.8%
5 31
 
4.4%
- 30
 
4.2%
7 29
 
4.1%
0 25
 
3.5%
8 24
 
3.4%
4 22
 
3.1%
Other values (5) 56
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1076
60.2%
ASCII 710
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
46.9%
1 73
 
10.3%
3 46
 
6.5%
2 41
 
5.8%
5 31
 
4.4%
- 30
 
4.2%
7 29
 
4.1%
0 25
 
3.5%
8 24
 
3.4%
4 22
 
3.1%
Other values (5) 56
 
7.9%
Hangul
ValueCountFrequency (%)
도 82
 
7.6%
경 81
 
7.5%
기 81
 
7.5%
시 56
 
5.2%
로 54
 
5.0%
면 46
 
4.3%
길 33
 
3.1%
평 27
 
2.5%
군 25
 
2.3%
천 21
 
2.0%
Other values (160) 570
53.0%

Correlations

2023-12-11T06:57:32.697115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광업체명관광상품명티켓형태홈페이지전화번호주소
관광업체명1.0001.0001.0001.0001.0001.000
관광상품명1.0001.0000.0001.0001.0001.000
티켓형태1.0000.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T06:57:29.006983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:57:29.122122image/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.

Sample

관광업체명관광상품명공사분담률(%)티켓형태홈페이지전화번호주소
0서울랜드자유이용권50지류http://www.seoulland.co.kr/02-509-6214경기도 과천시 광명로 181 (막계동, 서울랜드)
1한국민속촌자유이용권50지류http://www.koreanfolk.co.kr/031-288-1709경기도 용인시 기흥구 민속촌로 90 (보라동, 한국민속촌)
2아침고요원예수목원입장권 + 기념품50모바일http://www.morningcalm.co.kr/070-4010-5202경기도 가평군 상면 수목원로 432
3고양원마운트워터파크 1인권50지류https://onemount.co.kr/1566-2232경기도 고양시 일산서구 한류월드로 300 (대화동)
4허브아일랜드입장권 + 허브향마스크 2장50모바일http://www.herbisland.co.kr/031-535-6495경기도 포천시 신복면 청신로947번길 35
5아일랜드캐슬아일랜드캐슬 워터파크50모바일http://www.island-castle.co.kr/031-894-0332경기도 의정부시 장곡로 22(장암동, 아일랜드캐슬)
6신북리조트 스프링폴자유이용권50모바일http://www.sinbukresort.co.kr/031-536-5025경기도 포천시 신북면 청신로 571
7고성청소년수련원(쁘띠프랑스)입장권 + 어린왕자 기념품50모바일http://www.pfcamp.com/031-584-8200경기도 가평군 청평면 호반로 1063
8호텔미란다(이천스파플러스)스파플러스 워터존(전시설 이용권)50모바일http://www.mirandahotel.com/renewal/index.asp031-639-5000경기도 이천시 중리천로115번길 45(안흥동)
9평강식물원음료패키지50지류http://www.peacelandkorea.com/031-532-1779경기도 포천시 영북면 우물목길 171-18
관광업체명관광상품명공사분담률(%)티켓형태홈페이지전화번호주소
69포천한과박물관(한가원)전통 유과만들기50모바일https://hangaone.com/031-533-8121경기도 포천시 영북면 산정호수로 322번길 26-9
70두루뫼박물관입장권50모바일http://www.durumea.org/031-958-6101경기도 파주시 법원읍 초리골길 278
71영집궁시박물관미니 쇠뇌 패키지50모바일http://www.arrow.or.kr/031-944-6800경기도 파주시 탄현면 국원말길 168
72나룻배마을삼시세끼50모바일https://www.farmstay.co.kr/village/A11453031-833-5005경기도 연천군 왕징면 북삼로 98
73옻샘마을제빵체험50모바일http://www.tongcamp.com/031-584-9339경기도 가평군 설악면 묵안로654번길 33-13
74초롱이둥지마을편백나무숲주머니 편백숲길체험50모바일http://chorongi.com/031-584-9959경기도 가평군 설악면 묵안로 906
75아홉마지기마을키링만들기50모바일http://www.9majigi.kr/031-582-3115경기도 가평군 가평읍 용추로 238
76아침고요푸른마을잣전병과 잣아이스크림 만들기50모바일http://www.morningbluevillage.co.kr/031-585-3633경기도 가평군 상면 수목원로 136
77별바라기마을포도 고추장 만들기50모바일http://www.byeolbaragi.com/031-585-3823경기도 가평군 조종면 명지산로 325
78버섯구지마을나만의 커피콩50모바일http://www.bsgj.kr/031-584-9614경기도 가평군 조종면 대보간선로 173