Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells10
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory54.3 B

Variable types

Text1
Unsupported5

Dataset

Description가축위생방역지원본부에서 보유하고 있는 전국 축산농가정보를 운영상태와 시·도 별로 구분·산출하여 데이터화한 자료
Author가축위생방역지원본부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220203000000001666

Alerts

1. 전국 축산농장 총괄(시도별) has 1 (4.8%) missing valuesMissing
Unnamed: 1 has 2 (9.5%) missing valuesMissing
Unnamed: 2 has 2 (9.5%) missing valuesMissing
Unnamed: 3 has 2 (9.5%) missing valuesMissing
Unnamed: 4 has 2 (9.5%) missing valuesMissing
Unnamed: 5 has 1 (4.8%) 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

Reproduction

Analysis started2023-12-11 03:47:17.499834
Analysis finished2023-12-11 03:47:17.965593
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1. 전국 축산농장 총괄(시도별)
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-11T12:47:18.144874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length2
Mean length4.7
Min length1

Characters and Unicode

Total characters94
Distinct characters55
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

Unique20 ?
Unique (%)100.0%

Sample

1st row시도
2nd row계
3rd row서울
4th row대구
5th row인천
ValueCountFrequency (%)
시도 1
 
3.3%
계 1
 
3.3%
수 1
 
3.3%
않을 1
 
3.3%
상호일치하지 1
 
3.3%
합계가 1
 
3.3%
농가·축종·품종단위별 1
 
3.3%
인하여 1
 
3.3%
혼합사육농가로 1
 
3.3%
다품종 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T12:47:18.527602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
11.7%
종 5
 
5.3%
가 3
 
3.2%
다 3
 
3.2%
남 3
 
3.2%
북 3
 
3.2%
경 3
 
3.2%
전 3
 
3.2%
농 2
 
2.1%
· 2
 
2.1%
Other values (45) 56
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
83.0%
Space Separator 11
 
11.7%
Other Punctuation 5
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 5
 
6.4%
가 3
 
3.8%
다 3
 
3.8%
남 3
 
3.8%
북 3
 
3.8%
경 3
 
3.8%
전 3
 
3.8%
농 2
 
2.6%
합 2
 
2.6%
품 2
 
2.6%
Other values (40) 49
62.8%
Other Punctuation
ValueCountFrequency (%)
· 2
40.0%
※ 1
20.0%
, 1
20.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
83.0%
Common 16
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 5
 
6.4%
가 3
 
3.8%
다 3
 
3.8%
남 3
 
3.8%
북 3
 
3.8%
경 3
 
3.8%
전 3
 
3.8%
농 2
 
2.6%
합 2
 
2.6%
품 2
 
2.6%
Other values (40) 49
62.8%
Common
ValueCountFrequency (%)
11
68.8%
· 2
 
12.5%
※ 1
 
6.2%
, 1
 
6.2%
. 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
83.0%
ASCII 13
 
13.8%
None 2
 
2.1%
Punctuation 1
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
84.6%
, 1
 
7.7%
. 1
 
7.7%
Hangul
ValueCountFrequency (%)
종 5
 
6.4%
가 3
 
3.8%
다 3
 
3.8%
남 3
 
3.8%
북 3
 
3.8%
경 3
 
3.8%
전 3
 
3.8%
농 2
 
2.6%
합 2
 
2.6%
품 2
 
2.6%
Other values (40) 49
62.8%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.5%
Memory size300.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.5%
Memory size300.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.5%
Memory size300.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)9.5%
Memory size300.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)4.8%
Memory size300.0 B

Missing values

2023-12-11T12:47:17.595940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:47:17.717612image/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.
2023-12-11T12:47:17.867220image/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

1. 전국 축산농장 총괄(시도별)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0<NA>NaNNaNNaNNaN(단위 : 호)
1시도2021년2020년2019년2018년2017년
2계176393177739170121170563170048
3서울4446525869
4대구11781248108410721083
5인천16901730157718091849
6부산468396415432440
7광주298313321324313
8세종10181056107111131125
9대전428465463468488
1. 전국 축산농장 총괄(시도별)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
11경기1531715872159171413114382
12강원1610315668132441344113591
13충북1421613895133941303712374
14충남2095921370210812150121715
15전북1797218157181481836917407
16전남2633326896252682524725745
17경북3265532867311133159831383
18경남2264822682219742240122653
19제주20692106213126542634
20※ 다축종, 다품종 혼합사육농가로 인하여 농가·축종·품종단위별 합계가 상호일치하지 않을 수 있습니다.NaNNaNNaNNaNNaN