Overview

Dataset statistics

Number of variables3
Number of observations183
Missing cells0
Missing cells (%)0.0%
Duplicate rows39
Duplicate rows (%)21.3%
Total size in memory4.6 KiB
Average record size in memory25.7 B

Variable types

DateTime2
Categorical1

Dataset

Description충청북도_농가경영종합관리시스템_농가 농업회계분석 관리시스템으로 등록일시, 수정일시, 포장단위금액등을 제공합니다.
Author충청북도
URLhttps://www.data.go.kr/data/15050279/fileData.do

Alerts

포장단위금액 has constant value ""Constant
Dataset has 39 (21.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 18:38:19.773916
Analysis finished2023-12-12 18:38:20.166436
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct135
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2017-03-27 10:50:00
Maximum2019-10-30 15:39:00
2023-12-13T03:38:20.292443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:20.541626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct136
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2017-03-27 10:50:00
Maximum2019-10-30 15:39:00
2023-12-13T03:38:20.784062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:21.044503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

포장단위금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
183 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 183
100.0%

Length

2023-12-13T03:38:21.287682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:38:21.478345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
100.0%

Missing values

2023-12-13T03:38:19.933526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:38:20.095212image/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

등록일시수정일시포장단위금액
02017-03-27 10:502017-03-27 10:500
12017-03-27 10:522017-03-27 10:520
22017-05-17 15:132017-05-17 15:130
32017-05-18 15:152017-05-18 15:150
42017-05-18 15:152017-05-18 15:150
52017-05-19 16:142017-05-19 16:140
62017-05-19 16:172017-05-19 16:170
72017-05-26 15:572017-05-26 15:570
82017-09-14 03:182017-09-14 03:180
92017-09-14 23:202017-09-14 23:200
등록일시수정일시포장단위금액
1732019-09-18 22:372019-09-18 22:370
1742019-09-18 22:412019-09-18 22:410
1752019-09-18 22:432019-09-18 22:430
1762019-09-18 22:442019-09-18 22:440
1772019-09-18 22:512019-09-18 22:510
1782019-09-19 01:352019-09-19 01:350
1792019-09-19 02:082019-09-19 02:280
1802019-09-19 07:582019-09-19 07:580
1812019-09-19 09:152019-09-19 09:150
1822019-10-30 15:392019-10-30 15:390

Duplicate rows

Most frequently occurring

등록일시수정일시포장단위금액# duplicates
102019-06-13 10:562019-06-13 10:5603
112019-06-13 10:572019-06-13 10:5703
142019-06-13 11:032019-06-13 11:0303
272019-06-13 11:302019-06-13 11:3003
282019-06-13 11:322019-06-13 11:3203
292019-06-13 11:342019-06-13 11:3403
342019-07-11 15:222019-07-11 15:2203
02017-05-18 15:152017-05-18 15:1502
12019-06-13 10:002019-06-13 10:0002
22019-06-13 10:032019-06-13 10:0302