Overview

Dataset statistics

Number of variables4
Number of observations112
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory33.2 B

Variable types

Text3
DateTime1

Dataset

Description농촌진흥청 대표 홈페이지에서는 매월 식량, 과수, 화훼 등 중요 농업기술 정보를 발간물로 제작하여 웹서비스로 제공하고 있습니다. 월별 이슈가 되는 농업기술 정책 정보를 선별해서 사진과 더불어 제공하고 있습니다.
Author농촌진흥청
URLhttps://www.data.go.kr/data/15123582/fileData.do

Alerts

제목 has unique valuesUnique
발간호수 has unique valuesUnique
발간물경로 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:58:35.645348
Analysis finished2023-12-12 17:58:35.925987
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T02:58:36.072083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length14.589286
Min length14

Characters and Unicode

Total characters1634
Distinct characters23
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

Unique112 ?
Unique (%)100.0%

Sample

1st row농업기술 2023년 9,10월호
2nd row농업기술 2023년 7,8월호
3rd row농업기술 2023년 5,6월호
4th row농업기술 2023년 3,4월호
5th row농업기술 2023년 1,2월호
ValueCountFrequency (%)
농업기술 112
33.3%
2021년 12
 
3.6%
2015년 12
 
3.6%
2016년 12
 
3.6%
2017년 12
 
3.6%
2019년 12
 
3.6%
2020년 12
 
3.6%
2022년 12
 
3.6%
2018년 12
 
3.6%
2014년 11
 
3.3%
Other values (19) 117
34.8%
2023-12-13T02:58:36.457346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
15.2%
2 184
11.3%
0 134
8.2%
1 129
7.9%
년 112
6.9%
호 112
6.9%
월 112
6.9%
업 112
6.9%
농 112
6.9%
술 112
6.9%
Other values (13) 267
16.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
48.1%
Decimal Number 593
36.3%
Space Separator 248
 
15.2%
Other Punctuation 5
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 184
31.0%
0 134
22.6%
1 129
21.8%
9 22
 
3.7%
7 22
 
3.7%
8 22
 
3.7%
5 22
 
3.7%
6 22
 
3.7%
4 21
 
3.5%
3 15
 
2.5%
Other Letter
ValueCountFrequency (%)
년 112
14.2%
호 112
14.2%
월 112
14.2%
업 112
14.2%
농 112
14.2%
술 112
14.2%
기 112
14.2%
수 1
 
0.1%
정 1
 
0.1%
Space Separator
ValueCountFrequency (%)
248
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
51.9%
Hangul 786
48.1%

Most frequent character per script

Common
ValueCountFrequency (%)
248
29.2%
2 184
21.7%
0 134
15.8%
1 129
15.2%
9 22
 
2.6%
7 22
 
2.6%
8 22
 
2.6%
5 22
 
2.6%
6 22
 
2.6%
4 21
 
2.5%
Other values (4) 22
 
2.6%
Hangul
ValueCountFrequency (%)
년 112
14.2%
호 112
14.2%
월 112
14.2%
업 112
14.2%
농 112
14.2%
술 112
14.2%
기 112
14.2%
수 1
 
0.1%
정 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 848
51.9%
Hangul 786
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
29.2%
2 184
21.7%
0 134
15.8%
1 129
15.2%
9 22
 
2.6%
7 22
 
2.6%
8 22
 
2.6%
5 22
 
2.6%
6 22
 
2.6%
4 21
 
2.5%
Other values (4) 22
 
2.6%
Hangul
ValueCountFrequency (%)
년 112
14.2%
호 112
14.2%
월 112
14.2%
업 112
14.2%
농 112
14.2%
술 112
14.2%
기 112
14.2%
수 1
 
0.1%
정 1
 
0.1%

등록일
Date

Distinct110
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2014-02-10 00:00:00
Maximum2023-09-04 00:00:00
2023-12-13T02:58:36.621830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:58:36.792726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발간호수
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T02:58:37.075761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0178571
Min length5

Characters and Unicode

Total characters562
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row제684호
2nd row제683호
3rd row제682호
4th row제681호
5th row제680호
ValueCountFrequency (%)
제 2
 
1.8%
제684호 1
 
0.9%
제601호 1
 
0.9%
제602호 1
 
0.9%
제603호 1
 
0.9%
제604호 1
 
0.9%
제605호 1
 
0.9%
제606호 1
 
0.9%
제607호 1
 
0.9%
제608호 1
 
0.9%
Other values (103) 103
90.4%
2023-12-13T02:58:37.473178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 112
19.9%
호 112
19.9%
6 106
18.9%
5 48
8.5%
7 28
 
5.0%
8 26
 
4.6%
4 22
 
3.9%
3 22
 
3.9%
2 21
 
3.7%
1 21
 
3.7%
Other values (3) 44
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
59.8%
Other Letter 224
39.9%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 106
31.5%
5 48
14.3%
7 28
 
8.3%
8 26
 
7.7%
4 22
 
6.5%
3 22
 
6.5%
2 21
 
6.2%
1 21
 
6.2%
0 21
 
6.2%
9 21
 
6.2%
Other Letter
ValueCountFrequency (%)
제 112
50.0%
호 112
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 338
60.1%
Hangul 224
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
6 106
31.4%
5 48
14.2%
7 28
 
8.3%
8 26
 
7.7%
4 22
 
6.5%
3 22
 
6.5%
2 21
 
6.2%
1 21
 
6.2%
0 21
 
6.2%
9 21
 
6.2%
Hangul
ValueCountFrequency (%)
제 112
50.0%
호 112
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 338
60.1%
Hangul 224
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 112
50.0%
호 112
50.0%
ASCII
ValueCountFrequency (%)
6 106
31.4%
5 48
14.2%
7 28
 
8.3%
8 26
 
7.7%
4 22
 
6.5%
3 22
 
6.5%
2 21
 
6.2%
1 21
 
6.2%
0 21
 
6.2%
9 21
 
6.2%

발간물경로
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T02:58:37.698530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length185
Mean length149.80357
Min length61

Characters and Unicode

Total characters16778
Distinct characters49
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

Unique112 ?
Unique (%)100.0%

Sample

1st rowhttps://lib.rda.go.kr/search/mediaView.do?mets_no=000000317827
2nd rowhttps://lib.rda.go.kr/search/mediaView.do?mets_no=000000317324
3rd rowhttps://lib.rda.go.kr/search/mediaView.do?mets_no=000000317072
4th rowhttps://lib.rda.go.kr/search/mediaView.do?mets_no=000000316720
5th rowhttps://lib.rda.go.kr/search/mediaView.do?mets_no=000000316015
ValueCountFrequency (%)
https://lib.rda.go.kr/search/mediaview.do?mets_no=000000317827 1
 
0.9%
https://lib.rda.go.kr/search/mediaview.do?mets_no=000000317324 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313138382f534552564943452f3030303030303134313138385f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313137352f534552564943452f3030303030303134313137355f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313137392f534552564943452f3030303030303134313137395f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313139332f534552564943452f3030303030303134313139335f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313137342f534552564943452f3030303030303134313137345f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f32392f2f3030303030303134313136392f534552564943452f3030303030303134313136395f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f35392f2f3030303030303239303833352f534552564943452f3030303030303239303833355f30312e504446 1
 
0.9%
http://203.241.55.164/ezpdf/customlayoutnew3.jsp?contentid=2f2f493a2f2f646c5f696d6167652f494d472f35392f2f3030303030303239303833342f534552564943452f3030303030303239303833345f30312e504446 1
 
0.9%
Other values (102) 102
91.1%
2023-12-13T02:58:38.009372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2802
16.7%
0 1550
 
9.2%
2 1249
 
7.4%
4 1235
 
7.4%
F 960
 
5.7%
5 960
 
5.7%
6 888
 
5.3%
1 591
 
3.5%
t 576
 
3.4%
9 464
 
2.8%
Other values (39) 5503
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10066
60.0%
Lowercase Letter 3812
 
22.7%
Uppercase Letter 1632
 
9.7%
Other Punctuation 1124
 
6.7%
Math Symbol 112
 
0.7%
Connector Punctuation 32
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 576
15.1%
e 368
 
9.7%
o 336
 
8.8%
p 272
 
7.1%
d 256
 
6.7%
s 244
 
6.4%
n 192
 
5.0%
c 192
 
5.0%
a 176
 
4.6%
u 160
 
4.2%
Other values (13) 1040
27.3%
Decimal Number
ValueCountFrequency (%)
3 2802
27.8%
0 1550
15.4%
2 1249
12.4%
4 1235
12.3%
5 960
 
9.5%
6 888
 
8.8%
1 591
 
5.9%
9 464
 
4.6%
7 242
 
2.4%
8 85
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 960
58.8%
D 160
 
9.8%
L 80
 
4.9%
E 80
 
4.9%
C 80
 
4.9%
A 80
 
4.9%
N 80
 
4.9%
I 80
 
4.9%
V 32
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 448
39.9%
/ 448
39.9%
: 113
 
10.1%
? 112
 
10.0%
# 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11334
67.6%
Latin 5444
32.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 960
17.6%
t 576
 
10.6%
e 368
 
6.8%
o 336
 
6.2%
p 272
 
5.0%
d 256
 
4.7%
s 244
 
4.5%
n 192
 
3.5%
c 192
 
3.5%
a 176
 
3.2%
Other values (22) 1872
34.4%
Common
ValueCountFrequency (%)
3 2802
24.7%
0 1550
13.7%
2 1249
11.0%
4 1235
10.9%
5 960
 
8.5%
6 888
 
7.8%
1 591
 
5.2%
9 464
 
4.1%
. 448
 
4.0%
/ 448
 
4.0%
Other values (7) 699
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2802
16.7%
0 1550
 
9.2%
2 1249
 
7.4%
4 1235
 
7.4%
F 960
 
5.7%
5 960
 
5.7%
6 888
 
5.3%
1 591
 
3.5%
t 576
 
3.4%
9 464
 
2.8%
Other values (39) 5503
32.8%

Missing values

2023-12-13T02:58:35.789939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:58:35.890310image/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

제목등록일발간호수발간물경로
0농업기술 2023년 9,10월호2023-09-04제684호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000317827
1농업기술 2023년 7,8월호2023-06-30제683호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000317324
2농업기술 2023년 5,6월호2023-05-02제682호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000317072
3농업기술 2023년 3,4월호2023-02-28제681호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000316720
4농업기술 2023년 1,2월호2022-12-28제680호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000316015
5농업기술 2022년 12월호2022-11-28제679호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000315992
6농업기술 2022년 11월호2022-10-28제678호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000315821
7농업기술 2022년 10월호2022-09-27제677호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000315734
8농업기술 2022년 9월호2022-08-26제676호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000315545
9농업기술 2022년 8월호2022-07-26제675호https://lib.rda.go.kr/search/mediaView.do?mets_no=000000315374
제목등록일발간호수발간물경로
102농업기술 2014년 11월호2014-11-18제582호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F32392F2F3030303030303134313137312F534552564943452F3030303030303134313137315F30312E504446
103농업기술 2014년 10월호2014-11-18제581호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F32392F2F3030303030303134313138362F534552564943452F3030303030303134313138365F30312E504446
104농업기술 2014년 9월호2014-09-12제580호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F32392F2F3030303030303134313136382F534552564943452F3030303030303134313136385F30312E504446
105농업기술 2014년 8월호2014-08-08제579호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30392F2F3030303030303034303030312F534552564943452F3030303030303034303030315F30312E504446
106농업기술 2014년 7월호2014-07-04제578호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30382F2F3030303030303033393939332F534552564943452F3030303030303033393939335F30312E504446
107농업기술 2014년 6월호2014-06-16제577호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30392F2F3030303030303034303033392F534552564943452F3030303030303034303033395F30312E504446
108농업기술 2014년 5월호2014-05-09제576호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30382F2F3030303030303033393939382F534552564943452F3030303030303033393939385F30312E504446
109농업기술 2014년 4월호2014-04-02제575호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30392F2F3030303030303034303032302F534552564943452F3030303030303034303032305F30312E504446
110농업기술 2014년 3월호2014-03-03제574호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30392F2F3030303030303034303031382F534552564943452F3030303030303034303031385F30312E504446
111농업기술 2014년 2월호2014-02-10제573호http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F30392F2F3030303030303034303033382F534552564943452F3030303030303034303033385F30312E504446