Overview

Dataset statistics

Number of variables9
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory76.4 B

Variable types

Categorical3
Numeric2
Text4

Dataset

Description제주특별자치도 내에 소재하고 있는 관광농원과 관련한 데이터로 조성(승인)년도,농원명,소재지,조성면적(ha),입식작목,편의시설,상태 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15068609/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
조성(승인)년도 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 조성(승인)년도 and 1 other fieldsHigh correlation
현상황 is highly overall correlated with 구분High correlation
농원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:07:25.746410
Analysis finished2023-12-12 07:07:26.924693
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
서귀포시
28 
제주시
27 

Length

Max length4
Median length4
Mean length3.5090909
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 28
50.9%
제주시 27
49.1%

Length

2023-12-12T16:07:26.987303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:27.077631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 28
50.9%
제주시 27
49.1%

조성(승인)년도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.5273
Minimum1986
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T16:07:27.169821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1994.8
Q12010.5
median2015
Q32019
95-th percentile2021
Maximum2021
Range35
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.6791674
Coefficient of variation (CV)0.0043125713
Kurtosis1.2300623
Mean2012.5273
Median Absolute Deviation (MAD)4
Skewness-1.3955524
Sum110689
Variance75.327946
MonotonicityNot monotonic
2023-12-12T16:07:27.291211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2021 6
10.9%
2011 5
 
9.1%
2020 5
 
9.1%
2015 4
 
7.3%
2016 4
 
7.3%
2017 4
 
7.3%
2018 4
 
7.3%
2019 4
 
7.3%
2014 3
 
5.5%
2007 2
 
3.6%
Other values (9) 14
25.5%
ValueCountFrequency (%)
1986 1
 
1.8%
1992 2
 
3.6%
1996 2
 
3.6%
1997 2
 
3.6%
2000 1
 
1.8%
2004 1
 
1.8%
2007 2
 
3.6%
2008 1
 
1.8%
2010 2
 
3.6%
2011 5
9.1%
ValueCountFrequency (%)
2021 6
10.9%
2020 5
9.1%
2019 4
7.3%
2018 4
7.3%
2017 4
7.3%
2016 4
7.3%
2015 4
7.3%
2014 3
5.5%
2012 2
 
3.6%
2011 5
9.1%

농원명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T16:07:27.548784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length8.7454545
Min length3

Characters and Unicode

Total characters481
Distinct characters139
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

Unique55 ?
Unique (%)100.0%

Sample

1st row선흘캐릭월드 관광농원
2nd row선흘캐릭랜드
3rd row선흘 점프코리아 관광농원
4th row선녀와나무꾼
5th row마중물 관광농원 (화목원)
ValueCountFrequency (%)
관광농원 39
37.1%
노리매 1
 
1.0%
베케 1
 
1.0%
타운 1
 
1.0%
백록베이스볼 1
 
1.0%
오늘은 1
 
1.0%
테마농원 1
 
1.0%
트로이 1
 
1.0%
중문미로 1
 
1.0%
동백포레스트 1
 
1.0%
Other values (57) 57
54.3%
2023-12-12T16:07:27.973478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
 
10.6%
50
 
10.4%
광 49
 
10.2%
농 48
 
10.0%
관 46
 
9.6%
리 9
 
1.9%
스 7
 
1.5%
마 6
 
1.2%
제 6
 
1.2%
주 6
 
1.2%
Other values (129) 203
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
88.4%
Space Separator 50
 
10.4%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
 
12.0%
광 49
 
11.5%
농 48
 
11.3%
관 46
 
10.8%
리 9
 
2.1%
스 7
 
1.6%
마 6
 
1.4%
제 6
 
1.4%
주 6
 
1.4%
선 5
 
1.2%
Other values (126) 192
45.2%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
88.4%
Common 56
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
 
12.0%
광 49
 
11.5%
농 48
 
11.3%
관 46
 
10.8%
리 9
 
2.1%
스 7
 
1.6%
마 6
 
1.4%
제 6
 
1.4%
주 6
 
1.4%
선 5
 
1.2%
Other values (126) 192
45.2%
Common
ValueCountFrequency (%)
50
89.3%
( 3
 
5.4%
) 3
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
88.4%
ASCII 56
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
 
12.0%
광 49
 
11.5%
농 48
 
11.3%
관 46
 
10.8%
리 9
 
2.1%
스 7
 
1.6%
마 6
 
1.4%
제 6
 
1.4%
주 6
 
1.4%
선 5
 
1.2%
Other values (126) 192
45.2%
ASCII
ValueCountFrequency (%)
50
89.3%
( 3
 
5.4%
) 3
 
5.4%

소재지
Text

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T16:07:28.273292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length24.127273
Min length19

Characters and Unicode

Total characters1327
Distinct characters102
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

Unique52 ?
Unique (%)94.5%

Sample

1st row제주특별자치도 제주시 조천읍 선교로 264
2nd row제주특별자치도 제주시 조천읍 선교로 264
3rd row제주특별자치도 제주시 조천읍 선교로 264
4th row제주특별자치도 제주시 조천읍 선교로 267
5th row제주특별자치도 제주시 연화남길 41
ValueCountFrequency (%)
제주특별자치도 55
21.0%
서귀포시 28
 
10.7%
제주시 27
 
10.3%
조천읍 10
 
3.8%
애월읍 9
 
3.4%
안덕면 6
 
2.3%
남원읍 5
 
1.9%
선교로 4
 
1.5%
표선면 4
 
1.5%
264 3
 
1.1%
Other values (102) 111
42.4%
2023-12-12T16:07:28.830368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
15.6%
주 84
 
6.3%
제 82
 
6.2%
특 55
 
4.1%
별 55
 
4.1%
자 55
 
4.1%
치 55
 
4.1%
도 55
 
4.1%
시 55
 
4.1%
1 39
 
2.9%
Other values (92) 585
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
67.1%
Decimal Number 209
 
15.7%
Space Separator 207
 
15.6%
Dash Punctuation 21
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
9.4%
제 82
 
9.2%
특 55
 
6.2%
별 55
 
6.2%
자 55
 
6.2%
치 55
 
6.2%
도 55
 
6.2%
시 55
 
6.2%
읍 33
 
3.7%
서 32
 
3.6%
Other values (80) 329
37.0%
Decimal Number
ValueCountFrequency (%)
1 39
18.7%
2 30
14.4%
5 27
12.9%
6 20
9.6%
4 18
8.6%
3 18
8.6%
7 16
7.7%
0 15
 
7.2%
8 13
 
6.2%
9 13
 
6.2%
Space Separator
ValueCountFrequency (%)
207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
67.1%
Common 437
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
9.4%
제 82
 
9.2%
특 55
 
6.2%
별 55
 
6.2%
자 55
 
6.2%
치 55
 
6.2%
도 55
 
6.2%
시 55
 
6.2%
읍 33
 
3.7%
서 32
 
3.6%
Other values (80) 329
37.0%
Common
ValueCountFrequency (%)
207
47.4%
1 39
 
8.9%
2 30
 
6.9%
5 27
 
6.2%
- 21
 
4.8%
6 20
 
4.6%
4 18
 
4.1%
3 18
 
4.1%
7 16
 
3.7%
0 15
 
3.4%
Other values (2) 26
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
67.1%
ASCII 437
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
47.4%
1 39
 
8.9%
2 30
 
6.9%
5 27
 
6.2%
- 21
 
4.8%
6 20
 
4.6%
4 18
 
4.1%
3 18
 
4.1%
7 16
 
3.7%
0 15
 
3.4%
Other values (2) 26
 
5.9%
Hangul
ValueCountFrequency (%)
주 84
 
9.4%
제 82
 
9.2%
특 55
 
6.2%
별 55
 
6.2%
자 55
 
6.2%
치 55
 
6.2%
도 55
 
6.2%
시 55
 
6.2%
읍 33
 
3.7%
서 32
 
3.6%
Other values (80) 329
37.0%

조성면적(ha)
Real number (ℝ)

Distinct32
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5090909
Minimum0.4
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T16:07:28.982875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.47
Q10.85
median1.7
Q33.3
95-th percentile6.6
Maximum9.9
Range9.5
Interquartile range (IQR)2.45

Descriptive statistics

Standard deviation2.2642367
Coefficient of variation (CV)0.90241316
Kurtosis2.8033129
Mean2.5090909
Median Absolute Deviation (MAD)1
Skewness1.6419133
Sum138
Variance5.1267677
MonotonicityNot monotonic
2023-12-12T16:07:29.121248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.9 5
 
9.1%
0.5 5
 
9.1%
0.8 3
 
5.5%
0.7 3
 
5.5%
2.9 3
 
5.5%
2.6 3
 
5.5%
0.4 3
 
5.5%
9.9 2
 
3.6%
1.0 2
 
3.6%
1.7 2
 
3.6%
Other values (22) 24
43.6%
ValueCountFrequency (%)
0.4 3
5.5%
0.5 5
9.1%
0.7 3
5.5%
0.8 3
5.5%
0.9 5
9.1%
1.0 2
 
3.6%
1.1 1
 
1.8%
1.2 1
 
1.8%
1.3 1
 
1.8%
1.4 1
 
1.8%
ValueCountFrequency (%)
9.9 2
3.6%
8.0 1
1.8%
6.0 1
1.8%
5.9 1
1.8%
5.4 1
1.8%
4.9 2
3.6%
4.6 1
1.8%
4.3 1
1.8%
4.2 1
1.8%
4.0 1
1.8%

입식작목
Text

Distinct45
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T16:07:29.319952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.2181818
Min length2

Characters and Unicode

Total characters342
Distinct characters89
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)74.5%

Sample

1st row감귤·유채
2nd row감귤·조랑말
3rd row메밀·감귤
4th row더덕·야생초
5th row채소·약용작물
ValueCountFrequency (%)
감귤 8
 
12.9%
등 6
 
9.7%
더덕·야생초 2
 
3.2%
기타 2
 
3.2%
조경수 2
 
3.2%
과수 1
 
1.6%
감귤·매실·열대수 1
 
1.6%
과수·허브·야생화 1
 
1.6%
매실·감귤.허브 1
 
1.6%
감귤·석부작하우스 1
 
1.6%
Other values (37) 37
59.7%
2023-12-12T16:07:29.725523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 44
 
12.9%
감 26
 
7.6%
귤 24
 
7.0%
수 13
 
3.8%
채 10
 
2.9%
. 9
 
2.6%
화 9
 
2.6%
유 8
 
2.3%
야 7
 
2.0%
생 7
 
2.0%
Other values (79) 185
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
81.9%
Other Punctuation 53
 
15.5%
Space Separator 7
 
2.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 26
 
9.3%
귤 24
 
8.6%
수 13
 
4.6%
채 10
 
3.6%
화 9
 
3.2%
유 8
 
2.9%
야 7
 
2.5%
생 7
 
2.5%
소 7
 
2.5%
물 7
 
2.5%
Other values (74) 162
57.9%
Other Punctuation
ValueCountFrequency (%)
· 44
83.0%
. 9
 
17.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
81.9%
Common 62
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 26
 
9.3%
귤 24
 
8.6%
수 13
 
4.6%
채 10
 
3.6%
화 9
 
3.2%
유 8
 
2.9%
야 7
 
2.5%
생 7
 
2.5%
소 7
 
2.5%
물 7
 
2.5%
Other values (74) 162
57.9%
Common
ValueCountFrequency (%)
· 44
71.0%
. 9
 
14.5%
7
 
11.3%
( 1
 
1.6%
) 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
81.9%
None 44
 
12.9%
ASCII 18
 
5.3%

Most frequent character per block

None
ValueCountFrequency (%)
· 44
100.0%
Hangul
ValueCountFrequency (%)
감 26
 
9.3%
귤 24
 
8.6%
수 13
 
4.6%
채 10
 
3.6%
화 9
 
3.2%
유 8
 
2.9%
야 7
 
2.5%
생 7
 
2.5%
소 7
 
2.5%
물 7
 
2.5%
Other values (74) 162
57.9%
ASCII
ValueCountFrequency (%)
. 9
50.0%
7
38.9%
( 1
 
5.6%
) 1
 
5.6%

편의시설
Text

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T16:07:29.929914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10.327273
Min length5

Characters and Unicode

Total characters568
Distinct characters81
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)85.5%

Sample

1st row관람·휴게실·사무소
2nd row관람·휴게실·사무소
3rd row관람·소매점·사무소
4th row관람·음식점·소매점·사무소
5th row음식점·소매점·야영장
ValueCountFrequency (%)
등 11
 
15.9%
관람·휴게실·사무소 2
 
2.9%
체험농장·휴게음식점 2
 
2.9%
음식점·소매점 2
 
2.9%
체험농장·소매점 2
 
2.9%
숙박·음식점 1
 
1.4%
카페·체험농장 1
 
1.4%
식당·민박 1
 
1.4%
숙박·판매장 1
 
1.4%
전시관·연못 1
 
1.4%
Other values (45) 45
65.2%
2023-12-12T16:07:30.437292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 85
 
15.0%
점 39
 
6.9%
장 35
 
6.2%
매 33
 
5.8%
식 30
 
5.3%
소 25
 
4.4%
음 23
 
4.0%
체 21
 
3.7%
험 21
 
3.7%
박 17
 
3.0%
Other values (71) 239
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
80.1%
Other Punctuation 87
 
15.3%
Space Separator 14
 
2.5%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 39
 
8.6%
장 35
 
7.7%
매 33
 
7.3%
식 30
 
6.6%
소 25
 
5.5%
음 23
 
5.1%
체 21
 
4.6%
험 21
 
4.6%
박 17
 
3.7%
휴 12
 
2.6%
Other values (64) 199
43.7%
Other Punctuation
ValueCountFrequency (%)
· 85
97.7%
. 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
80.1%
Common 111
 
19.5%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 39
 
8.6%
장 35
 
7.7%
매 33
 
7.3%
식 30
 
6.6%
소 25
 
5.5%
음 23
 
5.1%
체 21
 
4.6%
험 21
 
4.6%
박 17
 
3.7%
휴 12
 
2.6%
Other values (64) 199
43.7%
Common
ValueCountFrequency (%)
· 85
76.6%
14
 
12.6%
) 5
 
4.5%
( 5
 
4.5%
. 2
 
1.8%
Latin
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 455
80.1%
None 85
 
15.0%
ASCII 28
 
4.9%

Most frequent character per block

None
ValueCountFrequency (%)
· 85
100.0%
Hangul
ValueCountFrequency (%)
점 39
 
8.6%
장 35
 
7.7%
매 33
 
7.3%
식 30
 
6.6%
소 25
 
5.5%
음 23
 
5.1%
체 21
 
4.6%
험 21
 
4.6%
박 17
 
3.7%
휴 12
 
2.6%
Other values (64) 199
43.7%
ASCII
ValueCountFrequency (%)
14
50.0%
) 5
 
17.9%
( 5
 
17.9%
. 2
 
7.1%
R 1
 
3.6%
V 1
 
3.6%

현상황
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
운영중
16 
조성중
14 
운영
13 
미운영
11 
승인 취소 소송중
 
1

Length

Max length9
Median length3
Mean length2.8727273
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 16
29.1%
조성중 14
25.5%
운영 13
23.6%
미운영 11
20.0%
승인 취소 소송중 1
 
1.8%

Length

2023-12-12T16:07:30.607264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:30.727228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 16
28.1%
조성중 14
24.6%
운영 13
22.8%
미운영 11
19.3%
승인 1
 
1.8%
취소 1
 
1.8%
소송중 1
 
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2022-09-22
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-22
2nd row2022-09-22
3rd row2022-09-22
4th row2022-09-22
5th row2022-09-22

Common Values

ValueCountFrequency (%)
2022-09-22 55
100.0%

Length

2023-12-12T16:07:30.877220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:30.983202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-22 55
100.0%

Interactions

2023-12-12T16:07:26.504819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:26.312004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:26.597619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:26.427935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:07:31.068750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조성(승인)년도농원명소재지조성면적(ha)입식작목편의시설현상황
구분1.0000.7321.0001.0000.0830.7801.0000.695
조성(승인)년도0.7321.0001.0001.0000.0000.9670.9560.384
농원명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0000.9350.9951.000
조성면적(ha)0.0830.0001.0001.0001.0000.4790.8630.199
입식작목0.7800.9671.0000.9350.4791.0000.9850.944
편의시설1.0000.9561.0000.9950.8630.9851.0000.950
현상황0.6950.3841.0001.0000.1990.9440.9501.000
2023-12-12T16:07:31.187748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현상황구분
현상황1.0000.805
구분0.8051.000
2023-12-12T16:07:31.269842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성(승인)년도조성면적(ha)구분현상황
조성(승인)년도1.000-0.0530.5210.221
조성면적(ha)-0.0531.0000.0000.000
구분0.5210.0001.0000.805
현상황0.2210.0000.8051.000

Missing values

2023-12-12T16:07:26.698251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:07:26.851673image/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

구분조성(승인)년도농원명소재지조성면적(ha)입식작목편의시설현상황데이터기준일자
0제주시2011선흘캐릭월드 관광농원제주특별자치도 제주시 조천읍 선교로 2640.8감귤·유채관람·휴게실·사무소운영2022-09-22
1제주시2011선흘캐릭랜드제주특별자치도 제주시 조천읍 선교로 2640.9감귤·조랑말관람·휴게실·사무소운영2022-09-22
2제주시2011선흘 점프코리아 관광농원제주특별자치도 제주시 조천읍 선교로 2641.2메밀·감귤관람·소매점·사무소운영2022-09-22
3제주시2012선녀와나무꾼제주특별자치도 제주시 조천읍 선교로 2674.6더덕·야생초관람·음식점·소매점·사무소운영2022-09-22
4제주시2015마중물 관광농원 (화목원)제주특별자치도 제주시 연화남길 411.0채소·약용작물음식점·소매점·야영장운영2022-09-22
5제주시2016자연인 관광농원제주특별자치도 제주시 아란서길 1101.3딸기·채소 등음식·소매·야영장·숙박(민박)·체험장 등운영2022-09-22
6제주시2017제주약초마을 관광농원제주특별자치도 제주시 조천읍 남조로 21850.7약초·메밀·유채 등발효·숙성·건조실·소매점운영2022-09-22
7제주시2017홍스랜드 관광농원제주특별자치도 제주시 애월읍 어음13길 25-459.9딸기·감자·고구마·더덕일반음식·숙박(펜션)·휴게음식·소매점운영2022-09-22
8제주시2018제주감귤향기 관광농원제주특별자치도 제주시 한경면 금등대안1길 810.5감귤일반음식·숙박(민박)·휴게음식·소매점운영2022-09-22
9제주시2018화조원 관광농원제주특별자치도 제주시 애월읍 애원로 8042.6화훼·독수리·부엉이·동물휴게음식·소매점운영2022-09-22
구분조성(승인)년도농원명소재지조성면적(ha)입식작목편의시설현상황데이터기준일자
45서귀포시2011올레길 하우스제주특별자치도 서귀포시 남원읍 신흥리 20981.6감귤·유실수숙박시설·식당미운영2022-09-22
46서귀포시1986갈산 관광농원제주특별자치도 서귀포시 토평동 929-22.5화훼.열대과수민박·조경미운영2022-09-22
47서귀포시1992영보 관광농원제주특별자치도 서귀포시 강정동 12590.9감귤·화훼.열대과수판매장·예식장·식당·파고라미운영2022-09-22
48서귀포시1992제광농원제주특별자치도 서귀포시 대정읍 안성리 6103.3감귤·유채.메밀.조경수예식장·노래방미운영2022-09-22
49서귀포시1996늘푸른레저타운 관광농원제주특별자치도 서귀포시 표선면 성읍리 4501.7감귤·메밀.열대수숙박·판매장.미운영2022-09-22
50서귀포시1996논오름 관광농원제주특별자치도 서귀포시 안덕면 상창리 27702.6감귤·유채.단감나무식당·민박미운영2022-09-22
51서귀포시1997민속마을 관광농원제주특별자치도 서귀포시 표선면 성읍리 2425-10.9유자·오미자·상황버섯판매장·민박·휴게실·매점미운영2022-09-22
52서귀포시2010서광 관광농원제주특별자치도 서귀포시 안덕면 서광리 2489-415.9기타체험농장·소매점 등조성중2022-09-22
53서귀포시2020고은 관광농원제주특별자치도 서귀포시 상예동 3713-14.3감귤체험농장·숙박조성중2022-09-22
54서귀포시2021담소요 관광농원제주특별자치도 서귀포시 남원읍 신례리 16960.8기타체험농장·정원조성중2022-09-22