Overview

Dataset statistics

Number of variables11
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory92.5 B

Variable types

Categorical5
Text5
Numeric1

Dataset

Description거창, 제주, 영천, 여수, 신안, 문경, 제천, 홍천, 구례 등에 위치한 은퇴자 공동체 마을의 이용현황(운영지역, 운영횟수, 세대, 소재지, 운영기간 등)에 대한 정보입니다.
URLhttps://www.data.go.kr/data/15040080/fileData.do

Alerts

구분 is highly overall correlated with 운영기간 and 1 other fieldsHigh correlation
운영기간 is highly overall correlated with 구분High correlation
운영세대수 is highly overall correlated with 운영횟수High correlation
운영횟수 is highly overall correlated with 운영세대수High correlation
운영시설 is highly overall correlated with 구분High correlation
마을명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:57:54.541024
Analysis finished2023-12-12 03:57:55.716971
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
단기체험형
27 
귀농교육형
8 
지역정착형
3 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단기체험형 27
71.1%
귀농교육형 8
 
21.1%
지역정착형 3
 
7.9%

Length

2023-12-12T12:57:55.811297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:57:55.937507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단기체험형 27
71.1%
귀농교육형 8
 
21.1%
지역정착형 3
 
7.9%

지역
Text

Distinct26
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:57:56.157626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters76
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)50.0%

Sample

1st row제주
2nd row제주
3rd row제주
4th row제주
5th row영월
ValueCountFrequency (%)
제주 4
 
10.5%
영월 3
 
7.9%
양구 3
 
7.9%
밀양 3
 
7.9%
해남 2
 
5.3%
태안 2
 
5.3%
서천 2
 
5.3%
제천 1
 
2.6%
신안 1
 
2.6%
영주 1
 
2.6%
Other values (16) 16
42.1%
2023-12-12T12:57:56.552095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 8
 
10.5%
천 8
 
10.5%
주 6
 
7.9%
제 5
 
6.6%
영 5
 
6.6%
구 4
 
5.3%
밀 3
 
3.9%
월 3
 
3.9%
진 3
 
3.9%
태 3
 
3.9%
Other values (21) 28
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 8
 
10.5%
천 8
 
10.5%
주 6
 
7.9%
제 5
 
6.6%
영 5
 
6.6%
구 4
 
5.3%
밀 3
 
3.9%
월 3
 
3.9%
진 3
 
3.9%
태 3
 
3.9%
Other values (21) 28
36.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 8
 
10.5%
천 8
 
10.5%
주 6
 
7.9%
제 5
 
6.6%
영 5
 
6.6%
구 4
 
5.3%
밀 3
 
3.9%
월 3
 
3.9%
진 3
 
3.9%
태 3
 
3.9%
Other values (21) 28
36.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 8
 
10.5%
천 8
 
10.5%
주 6
 
7.9%
제 5
 
6.6%
영 5
 
6.6%
구 4
 
5.3%
밀 3
 
3.9%
월 3
 
3.9%
진 3
 
3.9%
태 3
 
3.9%
Other values (21) 28
36.8%

마을명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:57:56.807178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.5789474
Min length2

Characters and Unicode

Total characters98
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row호근
2nd row하논
3rd row신풍
4th row명도암
5th row포도
ValueCountFrequency (%)
호근 1
 
2.6%
하늘샘 1
 
2.6%
강진 1
 
2.6%
귀농인의집 1
 
2.6%
갈숲 1
 
2.6%
지도 1
 
2.6%
꽃새미 1
 
2.6%
출렁다리 1
 
2.6%
두무산촌 1
 
2.6%
상내 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T12:57:57.229292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 4
 
4.1%
리 3
 
3.1%
도 3
 
3.1%
호 2
 
2.0%
구 2
 
2.0%
두 2
 
2.0%
고 2
 
2.0%
산 2
 
2.0%
미 2
 
2.0%
오 2
 
2.0%
Other values (67) 74
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 4
 
4.1%
리 3
 
3.1%
도 3
 
3.1%
호 2
 
2.0%
구 2
 
2.0%
두 2
 
2.0%
고 2
 
2.0%
산 2
 
2.0%
미 2
 
2.0%
오 2
 
2.0%
Other values (67) 74
75.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 4
 
4.1%
리 3
 
3.1%
도 3
 
3.1%
호 2
 
2.0%
구 2
 
2.0%
두 2
 
2.0%
고 2
 
2.0%
산 2
 
2.0%
미 2
 
2.0%
오 2
 
2.0%
Other values (67) 74
75.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 4
 
4.1%
리 3
 
3.1%
도 3
 
3.1%
호 2
 
2.0%
구 2
 
2.0%
두 2
 
2.0%
고 2
 
2.0%
산 2
 
2.0%
미 2
 
2.0%
오 2
 
2.0%
Other values (67) 74
75.5%

운영횟수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1기
12 
2기
9 
3기
9 
4기
5 
5기
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5기
2nd row2기
3rd row3기
4th row5기
5th row3기

Common Values

ValueCountFrequency (%)
1기 12
31.6%
2기 9
23.7%
3기 9
23.7%
4기 5
13.2%
5기 3
 
7.9%

Length

2023-12-12T12:57:57.377470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:57:57.547142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1기 12
31.6%
2기 9
23.7%
3기 9
23.7%
4기 5
13.2%
5기 3
 
7.9%

운영세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.131579
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:57:57.678922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q15.25
median8
Q312
95-th percentile36.8
Maximum73
Range72
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation13.835268
Coefficient of variation (CV)1.1404343
Kurtosis10.30317
Mean12.131579
Median Absolute Deviation (MAD)4
Skewness2.956139
Sum461
Variance191.41465
MonotonicityNot monotonic
2023-12-12T12:57:58.152849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8 6
15.8%
6 4
10.5%
9 4
10.5%
2 3
 
7.9%
12 3
 
7.9%
1 2
 
5.3%
18 2
 
5.3%
3 2
 
5.3%
5 2
 
5.3%
73 1
 
2.6%
Other values (9) 9
23.7%
ValueCountFrequency (%)
1 2
 
5.3%
2 3
7.9%
3 2
 
5.3%
4 1
 
2.6%
5 2
 
5.3%
6 4
10.5%
7 1
 
2.6%
8 6
15.8%
9 4
10.5%
10 1
 
2.6%
ValueCountFrequency (%)
73 1
 
2.6%
47 1
 
2.6%
35 1
 
2.6%
26 1
 
2.6%
24 1
 
2.6%
18 2
5.3%
16 1
 
2.6%
15 1
 
2.6%
12 3
7.9%
10 1
 
2.6%

실입주기간
Text

Distinct26
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:57:58.428354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length56.5
Mean length39.763158
Min length14

Characters and Unicode

Total characters1511
Distinct characters16
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

Unique20 ?
Unique (%)52.6%

Sample

1st row(1기) 2.14.~4.13. (2기) 4.18.~6.17. (3기) 6.22.~8.21. (4기) 8.25.~10.24. (5기) 10.28.~12.27.
2nd row(1기) 3.1.~4.30. (2기) 11.1.~12.31.
3rd row(1기) 3.10.~5.9. (2기) 5.12.~7.11. (3기) 9.14.~11.13.
4th row(1기) 2.25.~4.24. (2기) 4.26.~6.25. (3기) 6.27.~8.26. (4기) 8.28.~10.27. (5기) 10.29.~12.28.
5th row(1기) 3.10.~5.9. (2기) 5.13.~7.12. (3기) 8.16.~10.15.
ValueCountFrequency (%)
1기 37
20.1%
2기 26
 
14.1%
3기 17
 
9.2%
4기 8
 
4.3%
3.10.~5.9 4
 
2.2%
3.1.~12.31 4
 
2.2%
10.11.~12.10 4
 
2.2%
8.5.~10.4 4
 
2.2%
9.15.~11.14 4
 
2.2%
7.8.~9.7 4
 
2.2%
Other values (49) 72
39.1%
2023-12-12T12:57:58.913925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 368
24.4%
1 196
13.0%
146
 
9.7%
2 105
 
6.9%
( 92
 
6.1%
기 92
 
6.1%
~ 92
 
6.1%
) 91
 
6.0%
3 72
 
4.8%
5 52
 
3.4%
Other values (6) 205
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
41.7%
Other Punctuation 368
24.4%
Space Separator 146
 
9.7%
Open Punctuation 92
 
6.1%
Other Letter 92
 
6.1%
Math Symbol 92
 
6.1%
Close Punctuation 91
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 196
31.1%
2 105
16.7%
3 72
 
11.4%
5 52
 
8.3%
0 43
 
6.8%
4 36
 
5.7%
7 35
 
5.6%
9 32
 
5.1%
6 31
 
4.9%
8 28
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 368
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Other Letter
ValueCountFrequency (%)
기 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1419
93.9%
Hangul 92
 
6.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 368
25.9%
1 196
13.8%
146
 
10.3%
2 105
 
7.4%
( 92
 
6.5%
~ 92
 
6.5%
) 91
 
6.4%
3 72
 
5.1%
5 52
 
3.7%
0 43
 
3.0%
Other values (5) 162
11.4%
Hangul
ValueCountFrequency (%)
기 92
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1419
93.9%
Hangul 92
 
6.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 368
25.9%
1 196
13.8%
146
 
10.3%
2 105
 
7.4%
( 92
 
6.5%
~ 92
 
6.5%
) 91
 
6.4%
3 72
 
5.1%
5 52
 
3.7%
0 43
 
3.0%
Other values (5) 162
11.4%
Hangul
ValueCountFrequency (%)
기 92
100.0%

운영기간
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2개월 단위
23 
9개월 단위
4 
10개월 단위
4 
3개월 단위
3 
3~5개월 단위
3 

Length

Max length8
Median length6
Mean length6.3157895
Min length6

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row2개월 단위
2nd row2개월 단위
3rd row2개월 단위
4th row2개월 단위
5th row2개월 단위

Common Values

ValueCountFrequency (%)
2개월 단위 23
60.5%
9개월 단위 4
 
10.5%
10개월 단위 4
 
10.5%
3개월 단위 3
 
7.9%
3~5개월 단위 3
 
7.9%
2~3개월 단위 1
 
2.6%

Length

2023-12-12T12:57:59.098103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:57:59.279622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단위 38
50.0%
2개월 23
30.3%
9개월 4
 
5.3%
10개월 4
 
5.3%
3개월 3
 
3.9%
3~5개월 3
 
3.9%
2~3개월 1
 
1.3%

운영시설
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
체험마을
26 
농업창업지원센터
8 
펜션
 
2
농업기술센터
 
1
유휴 보건소
 
1

Length

Max length8
Median length4
Mean length4.8421053
Min length2

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row펜션
2nd row펜션
3rd row체험마을
4th row체험마을
5th row체험마을

Common Values

ValueCountFrequency (%)
체험마을 26
68.4%
농업창업지원센터 8
 
21.1%
펜션 2
 
5.3%
농업기술센터 1
 
2.6%
유휴 보건소 1
 
2.6%

Length

2023-12-12T12:57:59.438548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:57:59.623642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체험마을 26
66.7%
농업창업지원센터 8
 
20.5%
펜션 2
 
5.1%
농업기술센터 1
 
2.6%
유휴 1
 
2.6%
보건소 1
 
2.6%

임대료
Text

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:57:59.852317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length7.0263158
Min length6

Characters and Unicode

Total characters267
Distinct characters15
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

Unique16 ?
Unique (%)42.1%

Sample

1st row월 38만원
2nd row월 38만원
3rd row월 30~35만원
4th row월 50만원
5th row월 30만원
ValueCountFrequency (%)
월 38
50.0%
30만원 6
 
7.9%
15만원 3
 
3.9%
20만원 3
 
3.9%
38만원 2
 
2.6%
35만원 2
 
2.6%
28~30만원 2
 
2.6%
45만원 2
 
2.6%
30~35만원 2
 
2.6%
35~40만원 1
 
1.3%
Other values (15) 15
 
19.7%
2023-12-12T12:58:00.303084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 38
14.2%
38
14.2%
만 38
14.2%
원 38
14.2%
3 26
9.7%
0 19
7.1%
2 16
6.0%
5 15
 
5.6%
~ 13
 
4.9%
1 9
 
3.4%
Other values (5) 17
6.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
42.7%
Decimal Number 102
38.2%
Space Separator 38
 
14.2%
Math Symbol 13
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 26
25.5%
0 19
18.6%
2 16
15.7%
5 15
14.7%
1 9
 
8.8%
8 6
 
5.9%
4 5
 
4.9%
7 4
 
3.9%
6 1
 
1.0%
9 1
 
1.0%
Other Letter
ValueCountFrequency (%)
월 38
33.3%
만 38
33.3%
원 38
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
57.3%
Hangul 114
42.7%

Most frequent character per script

Common
ValueCountFrequency (%)
38
24.8%
3 26
17.0%
0 19
12.4%
2 16
10.5%
5 15
 
9.8%
~ 13
 
8.5%
1 9
 
5.9%
8 6
 
3.9%
4 5
 
3.3%
7 4
 
2.6%
Other values (2) 2
 
1.3%
Hangul
ValueCountFrequency (%)
월 38
33.3%
만 38
33.3%
원 38
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153
57.3%
Hangul 114
42.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 38
33.3%
만 38
33.3%
원 38
33.3%
ASCII
ValueCountFrequency (%)
38
24.8%
3 26
17.0%
0 19
12.4%
2 16
10.5%
5 15
 
9.8%
~ 13
 
8.5%
1 9
 
5.9%
8 6
 
3.9%
4 5
 
3.3%
7 4
 
2.6%
Other values (2) 2
 
1.3%

관리비
Categorical

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
실비정산
17 
월 5만원
6 
무료
5 
월 10만원
4 
월 7~10만원
 
1
Other values (5)
5 

Length

Max length8
Median length7
Mean length4.4736842
Min length2

Unique

Unique6 ?
Unique (%)15.8%

Sample

1st row실비정산
2nd row실비정산
3rd row실비정산
4th row실비정산
5th row월 10만원

Common Values

ValueCountFrequency (%)
실비정산 17
44.7%
월 5만원 6
 
15.8%
무료 5
 
13.2%
월 10만원 4
 
10.5%
월 7~10만원 1
 
2.6%
월 5~7만원 1
 
2.6%
월 4~6만원 1
 
2.6%
실비정선 1
 
2.6%
월 5~8만원 1
 
2.6%
월 3만원 1
 
2.6%

Length

2023-12-12T12:58:00.509618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:58:00.702168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실비정산 17
32.1%
월 15
28.3%
5만원 6
 
11.3%
무료 5
 
9.4%
10만원 4
 
7.5%
7~10만원 1
 
1.9%
5~7만원 1
 
1.9%
4~6만원 1
 
1.9%
실비정선 1
 
1.9%
5~8만원 1
 
1.9%

소재지
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:58:01.106268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.1315789
Min length6

Characters and Unicode

Total characters271
Distinct characters80
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서귀포시 호근동
2nd row서귀포시 호근동
3rd row서귀포시 성산읍
4th row제주시 봉개동
5th row영월군 김삿갓면
ValueCountFrequency (%)
서귀포시 3
 
3.9%
양구군 3
 
3.9%
영월군 3
 
3.9%
밀양시 3
 
3.9%
태안군 2
 
2.6%
호근동 2
 
2.6%
해남군 2
 
2.6%
서천군 2
 
2.6%
고창군 1
 
1.3%
북면 1
 
1.3%
Other values (54) 54
71.1%
2023-12-12T12:58:01.696440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
14.0%
면 27
 
10.0%
군 23
 
8.5%
시 15
 
5.5%
동 12
 
4.4%
양 9
 
3.3%
천 8
 
3.0%
서 7
 
2.6%
산 7
 
2.6%
문 5
 
1.8%
Other values (70) 120
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
86.0%
Space Separator 38
 
14.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 27
 
11.6%
군 23
 
9.9%
시 15
 
6.4%
동 12
 
5.2%
양 9
 
3.9%
천 8
 
3.4%
서 7
 
3.0%
산 7
 
3.0%
문 5
 
2.1%
영 5
 
2.1%
Other values (69) 115
49.4%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
86.0%
Common 38
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 27
 
11.6%
군 23
 
9.9%
시 15
 
6.4%
동 12
 
5.2%
양 9
 
3.9%
천 8
 
3.4%
서 7
 
3.0%
산 7
 
3.0%
문 5
 
2.1%
영 5
 
2.1%
Other values (69) 115
49.4%
Common
ValueCountFrequency (%)
38
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
86.0%
ASCII 38
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
100.0%
Hangul
ValueCountFrequency (%)
면 27
 
11.6%
군 23
 
9.9%
시 15
 
6.4%
동 12
 
5.2%
양 9
 
3.9%
천 8
 
3.4%
서 7
 
3.0%
산 7
 
3.0%
문 5
 
2.1%
영 5
 
2.1%
Other values (69) 115
49.4%

Interactions

2023-12-12T12:57:55.286481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:58:01.854668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지역마을명운영횟수운영세대수실입주기간운영기간운영시설임대료관리비소재지
구분1.0000.6191.0000.5590.0000.9491.0000.6920.8660.0001.000
지역0.6191.0001.0000.5620.0000.7520.5580.6830.9450.9001.000
마을명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영횟수0.5590.5621.0001.0000.6891.0000.4350.7380.4680.7310.000
운영세대수0.0000.0001.0000.6891.0000.8850.0000.3340.6780.3030.000
실입주기간0.9490.7521.0001.0000.8851.0000.9781.0000.0000.8180.927
운영기간1.0000.5581.0000.4350.0000.9781.0000.6240.6100.0001.000
운영시설0.6920.6831.0000.7380.3341.0000.6241.0000.5740.0001.000
임대료0.8660.9451.0000.4680.6780.0000.6100.5741.0000.8711.000
관리비0.0000.9001.0000.7310.3030.8180.0000.0000.8711.0001.000
소재지1.0001.0001.0000.0000.0000.9271.0001.0001.0001.0001.000
2023-12-12T12:58:02.071901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시설운영횟수구분운영기간관리비
운영시설1.0000.3580.6510.4730.000
운영횟수0.3581.0000.4860.3030.351
구분0.6510.4861.0000.9560.000
운영기간0.4730.3030.9561.0000.000
관리비0.0000.3510.0000.0001.000
2023-12-12T12:58:02.244531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영세대수구분운영횟수운영기간운영시설관리비
운영세대수1.0000.0000.5150.0000.2030.123
구분0.0001.0000.4860.9560.6510.000
운영횟수0.5150.4861.0000.3030.3580.351
운영기간0.0000.9560.3031.0000.4730.000
운영시설0.2030.6510.3580.4731.0000.000
관리비0.1230.0000.3510.0000.0001.000

Missing values

2023-12-12T12:57:55.449837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:57:55.645668image/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

구분지역마을명운영횟수운영세대수실입주기간운영기간운영시설임대료관리비소재지
0단기체험형제주호근5기73(1기) 2.14.~4.13. (2기) 4.18.~6.17. (3기) 6.22.~8.21. (4기) 8.25.~10.24. (5기) 10.28.~12.27.2개월 단위펜션월 38만원실비정산서귀포시 호근동
1단기체험형제주하논2기12(1기) 3.1.~4.30. (2기) 11.1.~12.31.2개월 단위펜션월 38만원실비정산서귀포시 호근동
2단기체험형제주신풍3기8(1기) 3.10.~5.9. (2기) 5.12.~7.11. (3기) 9.14.~11.13.2개월 단위체험마을월 30~35만원실비정산서귀포시 성산읍
3단기체험형제주명도암5기47(1기) 2.25.~4.24. (2기) 4.26.~6.25. (3기) 6.27.~8.26. (4기) 8.28.~10.27. (5기) 10.29.~12.28.2개월 단위체험마을월 50만원실비정산제주시 봉개동
4단기체험형영월포도3기18(1기) 3.10.~5.9. (2기) 5.13.~7.12. (3기) 8.16.~10.15.2개월 단위체험마을월 30만원월 10만원영월군 김삿갓면
5단기체험형영월삼굿3기9(1기) 3.10.~5.9. (2기) 5.13.~7.12. (3기) 9.1.~10.31.2개월 단위체험마을월 30만원실비정산영월군 중동면
6단기체험형태백구문소3기9(1기) 3.22.~5.21. (2기) 5.24.~7.23. (3기) 8.17.~10.16.2개월 단위체험마을월 27만원무료태백시 동점동
7단기체험형양구오미1기4(1기) 9.1.~10.31.2개월 단위체험마을월 20만원무료양구군 방산면
8단기체험형양구지게2기8(1기0 3.10.~5.9. (2기) 9.1.~10.31.2개월 단위체험마을월 20만원무료양구군 동면
9단기체험형양양황룡3기18(1기) 3.11.~5.10. (2기) 5.11.~7.10. (3기) 8.23.~10.22.2개월 단위체험마을월 35만원월 10만원양양군 서면
구분지역마을명운영횟수운영세대수실입주기간운영기간운영시설임대료관리비소재지
28지역정착형밀양솔방3기9(1기) 3.7.~6.6. (2기) 6.9.~9.8. (3기) 9.16.~12.15.3~5개월 단위체험마을월 28~30만원월 10만원밀양시 상동면
29지역정착형문경상내2기6(1기) 2.21.~7.20. (2기) 7.25.~12.24.3~5개월 단위체험마을월 40만원월 5만원문경시 마성면
30귀농교육형제천제천1기5(1기) 3.1.~11.30.9개월 단위농업창업지원센터월 15~27만원실비정산제천시 신월동
31귀농교육형구례구례1기3(1기) 3.1.~12.31.10개월 단위농업창업지원센터월 16만원실비정산구례군 용방문
32귀농교육형홍천홍천1기2(1기) 3.1.~12.31.10개월 단위농업창업지원센터월 15~20만원실비정산홍천군 서석면
33귀농교육형영천영천1기2(1기) 3.1.~11.30.9개월 단위농업창업지원센터월 20~25만원실비정산영천시 자양면
34귀농교육형고창고창1기2(1기) 3.1.~11.30.9개월 단위농업창업지원센터월 19~27만원실비정산고창군 부안면
35귀농교육형영주영주1기1(1기) 3.1.~12.31.10개월 단위농업창업지원센터월 12~24만원실비정산영주시 아지동
36귀농교육형강진강진1기3(1기) 3.1.~11.30.9개월 단위농업창업지원센터월 18만원실비정산강진군 칠량면
37귀농교육형해남해남1기1(1기) 3.1.~12.31.10개월 단위농업창업지원센터월 15만원실비정산해남군 계곡면