Overview

Dataset statistics

Number of variables3
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)7.6%
Total size in memory2.0 KiB
Average record size in memory25.7 B

Variable types

DateTime2
Boolean1

Dataset

Description충청북도 농업기술원 농가경영기록장(농가의 소득을 증진시킬 수 있는 회원전용 농가경영 관리 프로그램)의 수입지출관련 이용자 접속기록, 거래, 거래처 등의 관리시스템으로 등록일시, 수정일시, 상태 등을 제공합니다.
Author충청북도
URLhttps://www.data.go.kr/data/15050322/fileData.do

Alerts

상태 has constant value ""Constant
Dataset has 6 (7.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 14:41:48.871161
Analysis finished2023-12-12 14:41:49.039050
Duration0.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2015-10-20 00:00:00
Maximum2016-10-07 00:00:00
2023-12-12T23:41:49.075941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:49.159565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
Distinct6
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2015-10-20 00:00:00
Maximum2016-10-07 00:00:00
2023-12-12T23:41:49.243170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:41:49.326855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

상태
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
79 
ValueCountFrequency (%)
False 79
100.0%
2023-12-12T23:41:49.414228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:41:49.469264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일시수정일시
등록일시1.0000.971
수정일시0.9711.000

Missing values

2023-12-12T23:41:48.949503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:41:49.013938image/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

등록일시수정일시상태
02015-10-20 00:002015-10-20 00:00N
12015-10-20 00:002015-10-20 00:00N
22015-11-16 00:002015-11-21 00:00N
32015-11-16 00:002015-11-16 00:00N
42015-11-16 00:002015-11-16 00:00N
52015-11-16 00:002015-11-16 00:00N
62015-11-20 00:002015-11-20 00:00N
72015-11-21 00:002015-11-21 00:00N
82015-11-21 00:002015-11-21 00:00N
92015-11-21 00:002015-11-21 00:00N
등록일시수정일시상태
692016-10-07 00:002016-10-07 00:00N
702016-10-07 00:002016-10-07 00:00N
712016-10-07 00:002016-10-07 00:00N
722016-10-07 00:002016-10-07 00:00N
732016-10-07 00:002016-10-07 00:00N
742016-10-07 00:002016-10-07 00:00N
752016-10-07 00:002016-10-07 00:00N
762016-10-07 00:002016-10-07 00:00N
772016-10-07 00:002016-10-07 00:00N
782016-10-07 00:002016-10-07 00:00N

Duplicate rows

Most frequently occurring

등록일시수정일시상태# duplicates
52016-10-07 00:002016-10-07 00:00N35
22015-11-21 00:002015-11-21 00:00N29
42016-10-06 00:002016-10-07 00:00N4
12015-11-16 00:002015-11-16 00:00N3
32015-11-21 00:002016-10-07 00:00N3
02015-10-20 00:002015-10-20 00:00N2