Overview

Dataset statistics

Number of variables11
Number of observations22
Missing cells26
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory94.0 B

Variable types

Text1
Unsupported10

Dataset

Description가축위생방역지원본부에서 보유하고 있는 전국 축산농가 현황 정보를 충종별, 시·도 별로 호수와 두수 현황을 산출하여 데이터화
Author가축위생방역지원본부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220203000000001667

Alerts

2. 전국 축산농장 총괄(축종별) has 1 (4.5%) missing valuesMissing
Unnamed: 1 has 2 (9.1%) missing valuesMissing
Unnamed: 2 has 3 (13.6%) missing valuesMissing
Unnamed: 3 has 2 (9.1%) missing valuesMissing
Unnamed: 4 has 3 (13.6%) missing valuesMissing
Unnamed: 5 has 2 (9.1%) missing valuesMissing
Unnamed: 6 has 3 (13.6%) missing valuesMissing
Unnamed: 7 has 2 (9.1%) missing valuesMissing
Unnamed: 8 has 3 (13.6%) missing valuesMissing
Unnamed: 9 has 2 (9.1%) missing valuesMissing
Unnamed: 10 has 3 (13.6%) missing valuesMissing
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:30:53.881005
Analysis finished2023-12-11 03:30:54.523511
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2. 전국 축산농장 총괄(축종별)
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-11T12:30:54.674056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length21
Mean length5.5238095
Min length1

Characters and Unicode

Total characters116
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row축종
2nd row계
3rd row소
4th row돼지
5th row닭
ValueCountFrequency (%)
축종 1
 
2.9%
합계가 1
 
2.9%
※ 1
 
2.9%
다축종 1
 
2.9%
다품종 1
 
2.9%
혼합사육농가로 1
 
2.9%
인하여 1
 
2.9%
농가·축종·품종단위별 1
 
2.9%
상호일치하지 1
 
2.9%
계 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T12:30:55.027472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
12.9%
종 5
 
4.3%
다 4
 
3.4%
조 3
 
2.6%
수 3
 
2.6%
가 3
 
2.6%
합 3
 
2.6%
축 3
 
2.6%
리 2
 
1.7%
위 2
 
1.7%
Other values (55) 73
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
80.2%
Space Separator 15
 
12.9%
Other Punctuation 8
 
6.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 5
 
5.4%
다 4
 
4.3%
조 3
 
3.2%
수 3
 
3.2%
가 3
 
3.2%
합 3
 
3.2%
축 3
 
3.2%
리 2
 
2.2%
위 2
 
2.2%
소 2
 
2.2%
Other values (49) 63
67.7%
Other Punctuation
ValueCountFrequency (%)
· 2
25.0%
* 2
25.0%
. 2
25.0%
※ 1
12.5%
, 1
12.5%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
80.2%
Common 23
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 5
 
5.4%
다 4
 
4.3%
조 3
 
3.2%
수 3
 
3.2%
가 3
 
3.2%
합 3
 
3.2%
축 3
 
3.2%
리 2
 
2.2%
위 2
 
2.2%
소 2
 
2.2%
Other values (49) 63
67.7%
Common
ValueCountFrequency (%)
15
65.2%
· 2
 
8.7%
* 2
 
8.7%
. 2
 
8.7%
※ 1
 
4.3%
, 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
80.2%
ASCII 20
 
17.2%
None 2
 
1.7%
Punctuation 1
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
75.0%
* 2
 
10.0%
. 2
 
10.0%
, 1
 
5.0%
Hangul
ValueCountFrequency (%)
종 5
 
5.4%
다 4
 
4.3%
조 3
 
3.2%
수 3
 
3.2%
가 3
 
3.2%
합 3
 
3.2%
축 3
 
3.2%
리 2
 
2.2%
위 2
 
2.2%
소 2
 
2.2%
Other values (49) 63
67.7%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.1%
Memory size308.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)13.6%
Memory size308.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.1%
Memory size308.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)13.6%
Memory size308.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.1%
Memory size308.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)13.6%
Memory size308.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.1%
Memory size308.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)13.6%
Memory size308.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.1%
Memory size308.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)13.6%
Memory size308.0 B

Missing values

2023-12-11T12:30:54.000043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:30:54.171039image/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.
2023-12-11T12:30:54.378068image/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

2. 전국 축산농장 총괄(축종별)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
0축종2021년NaN2020년NaN2019년NaN2018년NaN2017년NaN
1<NA>호수마릿수호수마릿수호수마릿수호수마릿수호수마릿수
2계207571229911450210974204499551201046234752174200029227358446196899234036352
3소10289039365671039403765741104439357772210661634558411085433451429
4돼지546811840369560011600833572511784312631311516158648211237114
5닭6661819059564566882167906708592001954743875718518526534052666194732915
6오리2304581119324335207115180272318151828942116719147772640
7사슴164926975176127779184429305198030473220432228
8염소1281345521415022512871159395753301701958870416339492611
9산양23955082415644216584720143741854048
2. 전국 축산농장 총괄(축종별)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
12관상조1114827131068841328958397383290532824118296
13거위231110979220510484171084531537726715307588
14꿩539132794523148959439163399411157571392185786
15칠면조1340515915435866133155541283547712745278
16타조113136410513538910269211311001220
17기러기16043016514512851811112849410002754488321657
18*꿀벌725372394969380514002263021200
19말10741630110431665096117178126923798125224117
20※ 다축종, 다품종 혼합사육농가로 인하여 농가·축종·품종단위별 합계가 상호일치하지 않을 수 있습니다.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21*꿀벌의 마릿수는 군수를 의미합니다.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN