Overview

Dataset statistics

Number of variables6
Number of observations317
Missing cells131
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory48.4 B

Variable types

Text4
Categorical2

Dataset

Description식생활교육 우수농어촌체험공간의 명칭, 주소, 연락처 등
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220217000000002039

Alerts

Unnamed: 4 has 125 (39.4%) missing valuesMissing
Unnamed: 5 has 4 (1.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 03:37:40.036242
Analysis finished2023-12-11 03:37:40.981021
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

우수체험공간 지정 현황(2021. 12. 기준)
Text

Distinct316
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2023-12-11T12:37:41.427608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.6613924
Min length1

Characters and Unicode

Total characters841
Distinct characters14
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

Unique316 ?
Unique (%)100.0%

Sample

1st row지정번호
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
18 1
 
0.3%
218 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
207 1
 
0.3%
Other values (306) 306
96.8%
2023-12-11T12:37:42.153990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 168
20.0%
2 162
19.3%
3 78
9.3%
4 62
 
7.4%
5 62
 
7.4%
8 61
 
7.3%
6 61
 
7.3%
7 61
 
7.3%
9 61
 
7.3%
0 61
 
7.3%
Other values (4) 4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 837
99.5%
Other Letter 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 168
20.1%
2 162
19.4%
3 78
9.3%
4 62
 
7.4%
5 62
 
7.4%
8 61
 
7.3%
6 61
 
7.3%
7 61
 
7.3%
9 61
 
7.3%
0 61
 
7.3%
Other Letter
ValueCountFrequency (%)
지 1
25.0%
정 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 837
99.5%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 168
20.1%
2 162
19.4%
3 78
9.3%
4 62
 
7.4%
5 62
 
7.4%
8 61
 
7.3%
6 61
 
7.3%
7 61
 
7.3%
9 61
 
7.3%
0 61
 
7.3%
Hangul
ValueCountFrequency (%)
지 1
25.0%
정 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 837
99.5%
Hangul 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 168
20.1%
2 162
19.4%
3 78
9.3%
4 62
 
7.4%
5 62
 
7.4%
8 61
 
7.3%
6 61
 
7.3%
7 61
 
7.3%
9 61
 
7.3%
0 61
 
7.3%
Hangul
ValueCountFrequency (%)
지 1
25.0%
정 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 1
Categorical

Distinct19
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
경남
57 
경기
45 
전남
38 
전북
30 
충북
28 
Other values (14)
119 

Length

Max length4
Median length2
Mean length2.0063091
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row지역
3rd row충북
4th row전북
5th row경북

Common Values

ValueCountFrequency (%)
경남 57
18.0%
경기 45
14.2%
전남 38
12.0%
전북 30
9.5%
충북 28
8.8%
충남 25
7.9%
강원 21
 
6.6%
제주 19
 
6.0%
경북 18
 
5.7%
인천 12
 
3.8%
Other values (9) 24
7.6%

Length

2023-12-11T12:37:42.372886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 57
18.0%
경기 45
14.2%
전남 38
12.0%
전북 30
9.5%
충북 28
8.8%
충남 25
7.9%
강원 21
 
6.6%
제주 19
 
6.0%
경북 18
 
5.7%
인천 12
 
3.8%
Other values (9) 24
7.6%

Unnamed: 2
Categorical

Distinct30
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2013-11-19
60 
2017-09-01
37 
2020-10-19
25 
2021-06-04
20 
2010-12-24
19 
Other values (25)
156 

Length

Max length10
Median length10
Mean length9.9589905
Min length3

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row지정일
3rd row2010-11-29
4th row2010-11-29
5th row2010-11-29

Common Values

ValueCountFrequency (%)
2013-11-19 60
18.9%
2017-09-01 37
11.7%
2020-10-19 25
 
7.9%
2021-06-04 20
 
6.3%
2010-12-24 19
 
6.0%
2019-10-15 18
 
5.7%
2011-09-05 15
 
4.7%
2016-10-18 14
 
4.4%
2018-10-10 14
 
4.4%
2011-05-27 12
 
3.8%
Other values (20) 83
26.2%

Length

2023-12-11T12:37:42.584398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-11-19 60
18.9%
2017-09-01 37
11.7%
2020-10-19 25
 
7.9%
2021-06-04 20
 
6.3%
2010-12-24 19
 
6.0%
2019-10-15 18
 
5.7%
2011-09-05 15
 
4.7%
2016-10-18 14
 
4.4%
2018-10-10 14
 
4.4%
2011-05-27 12
 
3.8%
Other values (20) 83
26.2%

Unnamed: 3
Text

Distinct316
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2023-12-11T12:37:42.866868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.5917722
Min length2

Characters and Unicode

Total characters2715
Distinct characters396
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)100.0%

Sample

1st row기관명
2nd row이연순향토음식개발연구원
3rd row온생명평생교육원
4th row승곡체험휴양마을
5th row매화랑 매실이랑
ValueCountFrequency (%)
영농조합법인 14
 
3.0%
농업회사법인 11
 
2.4%
교육농장 10
 
2.2%
농촌교육농장 6
 
1.3%
주식회사 5
 
1.1%
농어촌인성학교 4
 
0.9%
농업법인 2
 
0.4%
체험관 2
 
0.4%
체험장 2
 
0.4%
전통장류체험장 2
 
0.4%
Other values (395) 403
87.4%
2023-12-11T12:37:43.501956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 161
 
5.9%
147
 
5.4%
장 96
 
3.5%
마 84
 
3.1%
을 77
 
2.8%
인 61
 
2.2%
체 54
 
2.0%
험 53
 
2.0%
법 49
 
1.8%
원 48
 
1.8%
Other values (386) 1885
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2519
92.8%
Space Separator 147
 
5.4%
Other Symbol 11
 
0.4%
Close Punctuation 11
 
0.4%
Open Punctuation 10
 
0.4%
Lowercase Letter 10
 
0.4%
Other Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 161
 
6.4%
장 96
 
3.8%
마 84
 
3.3%
을 77
 
3.1%
인 61
 
2.4%
체 54
 
2.1%
험 53
 
2.1%
법 49
 
1.9%
원 48
 
1.9%
교 48
 
1.9%
Other values (366) 1788
71.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
y 1
10.0%
e 1
10.0%
b 1
10.0%
o 1
10.0%
n 1
10.0%
g 1
10.0%
v 1
10.0%
a 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1
25.0%
· 1
25.0%
: 1
25.0%
. 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 10
90.9%
] 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
[ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Decimal Number
ValueCountFrequency (%)
8 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2530
93.2%
Common 175
 
6.4%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 161
 
6.4%
장 96
 
3.8%
마 84
 
3.3%
을 77
 
3.0%
인 61
 
2.4%
체 54
 
2.1%
험 53
 
2.1%
법 49
 
1.9%
원 48
 
1.9%
교 48
 
1.9%
Other values (367) 1799
71.1%
Common
ValueCountFrequency (%)
147
84.0%
) 10
 
5.7%
( 9
 
5.1%
8 3
 
1.7%
] 1
 
0.6%
, 1
 
0.6%
· 1
 
0.6%
[ 1
 
0.6%
: 1
 
0.6%
. 1
 
0.6%
Latin
ValueCountFrequency (%)
l 2
20.0%
y 1
10.0%
e 1
10.0%
b 1
10.0%
o 1
10.0%
n 1
10.0%
g 1
10.0%
v 1
10.0%
a 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2519
92.8%
ASCII 184
 
6.8%
None 12
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 161
 
6.4%
장 96
 
3.8%
마 84
 
3.3%
을 77
 
3.1%
인 61
 
2.4%
체 54
 
2.1%
험 53
 
2.1%
법 49
 
1.9%
원 48
 
1.9%
교 48
 
1.9%
Other values (366) 1788
71.0%
ASCII
ValueCountFrequency (%)
147
79.9%
) 10
 
5.4%
( 9
 
4.9%
8 3
 
1.6%
l 2
 
1.1%
y 1
 
0.5%
e 1
 
0.5%
b 1
 
0.5%
o 1
 
0.5%
n 1
 
0.5%
Other values (8) 8
 
4.3%
None
ValueCountFrequency (%)
㈜ 11
91.7%
· 1
 
8.3%

Unnamed: 4
Text

MISSING 

Distinct192
Distinct (%)100.0%
Missing125
Missing (%)39.4%
Memory size2.6 KiB
2023-12-11T12:37:43.743942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989583
Min length8

Characters and Unicode

Total characters2302
Distinct characters19
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

Unique192 ?
Unique (%)100.0%

Sample

1st row대표번호(유선)
2nd row043-645-3050
3rd row063-433-1933
4th row054-531-0154
5th row061-543-9106
ValueCountFrequency (%)
대표번호(유선 1
 
0.5%
063-653-7117 1
 
0.5%
043-645-6678 1
 
0.5%
044-868-7007 1
 
0.5%
062-944-2108 1
 
0.5%
031-332-3695 1
 
0.5%
033-344-1004 1
 
0.5%
070-4211-0314 1
 
0.5%
033-574-7132 1
 
0.5%
043-544-6565 1
 
0.5%
Other values (182) 182
94.8%
2023-12-11T12:37:44.200865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 381
16.6%
0 297
12.9%
3 293
12.7%
5 248
10.8%
4 198
8.6%
6 185
8.0%
1 161
7.0%
8 153
6.6%
7 150
 
6.5%
2 150
 
6.5%
Other values (9) 86
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1913
83.1%
Dash Punctuation 381
 
16.6%
Other Letter 6
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 297
15.5%
3 293
15.3%
5 248
13.0%
4 198
10.4%
6 185
9.7%
1 161
8.4%
8 153
8.0%
7 150
7.8%
2 150
7.8%
9 78
 
4.1%
Other Letter
ValueCountFrequency (%)
표 1
16.7%
선 1
16.7%
유 1
16.7%
호 1
16.7%
번 1
16.7%
대 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2296
99.7%
Hangul 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 381
16.6%
0 297
12.9%
3 293
12.8%
5 248
10.8%
4 198
8.6%
6 185
8.1%
1 161
7.0%
8 153
6.7%
7 150
 
6.5%
2 150
 
6.5%
Other values (3) 80
 
3.5%
Hangul
ValueCountFrequency (%)
표 1
16.7%
선 1
16.7%
유 1
16.7%
호 1
16.7%
번 1
16.7%
대 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2296
99.7%
Hangul 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 381
16.6%
0 297
12.9%
3 293
12.8%
5 248
10.8%
4 198
8.6%
6 185
8.1%
1 161
7.0%
8 153
6.7%
7 150
 
6.5%
2 150
 
6.5%
Other values (3) 80
 
3.5%
Hangul
ValueCountFrequency (%)
표 1
16.7%
선 1
16.7%
유 1
16.7%
호 1
16.7%
번 1
16.7%
대 1
16.7%

Unnamed: 5
Text

MISSING 

Distinct313
Distinct (%)100.0%
Missing4
Missing (%)1.3%
Memory size2.6 KiB
2023-12-11T12:37:44.578361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length22.127796
Min length2

Characters and Unicode

Total characters6926
Distinct characters292
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

Unique313 ?
Unique (%)100.0%

Sample

1st row주소
2nd row충청북도 제천시 용두천로 186(청전동 153-13)
3rd row전라북도 진안군 부귀면 봉암리 262번지
4th row경상북도 상주시 낙동면 승곡1길 34
5th row전라남도 광양시 옥룡면 백계로 318-13
ValueCountFrequency (%)
경상남도 50
 
3.2%
경기도 44
 
2.8%
전라남도 33
 
2.1%
충청북도 27
 
1.7%
전라북도 25
 
1.6%
충청남도 20
 
1.3%
강원도 20
 
1.3%
제주특별자치도 17
 
1.1%
제주시 12
 
0.8%
경상북도 12
 
0.8%
Other values (1005) 1314
83.5%
2023-12-11T12:37:45.133294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
 
18.3%
도 267
 
3.9%
1 258
 
3.7%
면 223
 
3.2%
시 184
 
2.7%
길 179
 
2.6%
2 157
 
2.3%
- 156
 
2.3%
3 148
 
2.1%
군 147
 
2.1%
Other values (282) 3943
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4266
61.6%
Space Separator 1264
 
18.3%
Decimal Number 1207
 
17.4%
Dash Punctuation 156
 
2.3%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 267
 
6.3%
면 223
 
5.2%
시 184
 
4.3%
길 179
 
4.2%
군 147
 
3.4%
남 145
 
3.4%
경 128
 
3.0%
로 119
 
2.8%
산 97
 
2.3%
북 95
 
2.2%
Other values (265) 2682
62.9%
Decimal Number
ValueCountFrequency (%)
1 258
21.4%
2 157
13.0%
3 148
12.3%
4 118
9.8%
5 102
 
8.5%
6 100
 
8.3%
7 95
 
7.9%
0 80
 
6.6%
9 75
 
6.2%
8 74
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
? 1
 
14.3%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4266
61.6%
Common 2660
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 267
 
6.3%
면 223
 
5.2%
시 184
 
4.3%
길 179
 
4.2%
군 147
 
3.4%
남 145
 
3.4%
경 128
 
3.0%
로 119
 
2.8%
산 97
 
2.3%
북 95
 
2.2%
Other values (265) 2682
62.9%
Common
ValueCountFrequency (%)
1264
47.5%
1 258
 
9.7%
2 157
 
5.9%
- 156
 
5.9%
3 148
 
5.6%
4 118
 
4.4%
5 102
 
3.8%
6 100
 
3.8%
7 95
 
3.6%
0 80
 
3.0%
Other values (7) 182
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4266
61.6%
ASCII 2660
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
47.5%
1 258
 
9.7%
2 157
 
5.9%
- 156
 
5.9%
3 148
 
5.6%
4 118
 
4.4%
5 102
 
3.8%
6 100
 
3.8%
7 95
 
3.6%
0 80
 
3.0%
Other values (7) 182
 
6.8%
Hangul
ValueCountFrequency (%)
도 267
 
6.3%
면 223
 
5.2%
시 184
 
4.3%
길 179
 
4.2%
군 147
 
3.4%
남 145
 
3.4%
경 128
 
3.0%
로 119
 
2.8%
산 97
 
2.3%
북 95
 
2.2%
Other values (265) 2682
62.9%

Correlations

2023-12-11T12:37:45.256366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2
Unnamed: 11.0000.819
Unnamed: 20.8191.000
2023-12-11T12:37:45.388821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 1
Unnamed: 21.0000.369
Unnamed: 10.3691.000
2023-12-11T12:37:45.518322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2
Unnamed: 11.0000.369
Unnamed: 20.3691.000

Missing values

2023-12-11T12:37:40.552624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:37:40.709735image/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.
2023-12-11T12:37:40.866601image/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

우수체험공간 지정 현황(2021. 12. 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0<NA><NA><NA><NA><NA><NA>
1지정번호지역지정일기관명대표번호(유선)주소
21충북2010-11-29이연순향토음식개발연구원043-645-3050충청북도 제천시 용두천로 186(청전동 153-13)
32전북2010-11-29온생명평생교육원063-433-1933전라북도 진안군 부귀면 봉암리 262번지
43경북2010-11-29승곡체험휴양마을054-531-0154경상북도 상주시 낙동면 승곡1길 34
54전남2010-12-24매화랑 매실이랑<NA>전라남도 광양시 옥룡면 백계로 318-13
65전남2010-12-24한과, 떡문화체험학습<NA>전라남도 담양군 창평면 삼천리 180-1번지
76전남2010-12-24고구마나라 호박공주 농촌체험 교육농장<NA>전라남도 해남군 화산면 연곡리 359
87전남2010-12-24해남에 다녀왔습니다<NA>전라남도 해남군 삼산면 덕촌길 18-8
98전남2010-12-24발효코리아061-543-9106전라남도 진도군 임회면 용호리 1334
우수체험공간 지정 현황(2021. 12. 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
307306경남2021-06-04농업회사법인산딸기닷컴㈜055-331-8114경상남도 김해시 상동면 장척로 374
308307경남2021-06-04열매가푸른날<NA>경상남도 밀양시 부북면 위양2길 17-25
309308경남2021-06-04내화체험목장055-384-2446경상남도 양산시 원동면 내화절골길 110
310309경남2021-06-04악양왕언니교육농장055-883-3373경상남도 하동군 악양면 하중대길 37
311310제주2021-06-04도구리영농조합법인064-782-8783제주도 제주시 조천읍 선흘동 1길 17
312311제주2021-06-04폴개협동조합064-764-0116제주도 서귀포시 남원읍 원님서로 326번길 38-51
313312경기2021-12-09농업회사법인 그린푸드031-582-8366경기도 가평군 가평읍 달전천벚꽃길 257-25
314313전북2021-12-09영농조합법인토굴발효063-562-6800전북 고창군 상하면 선운대로 734-12
315314전남2021-12-09백련동 편백농원061-393-7077전남 장성군 서삼면 추암로 555
316315제주2021-12-09와흘메밀마을 농촌체험휴양마을064-783-1688제주특별자치도 제주시 조천읍 남조로 2455