Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells60000
Missing cells (%)60.0%
Duplicate rows1498
Duplicate rows (%)15.0%
Total size in memory918.0 KiB
Average record size in memory94.0 B

Variable types

DateTime1
Categorical3
Unsupported6

Dataset

Description우편집중국 간 차량 운송 데이터로 2021년 10월 한 달 간 발송일자, 발송집중국, 도착집중국, 차량톤급 데이터를 포함하고 있으며, 신청에 의해 제공
Author과학기술정보통신부 우정사업본부
URLhttps://www.data.go.kr/data/15101060/fileData.do

Alerts

Dataset has 1498 (15.0%) duplicate rowsDuplicates
Unnamed: 4 has 10000 (100.0%) missing valuesMissing
Unnamed: 5 has 10000 (100.0%) missing valuesMissing
Unnamed: 6 has 10000 (100.0%) missing valuesMissing
Unnamed: 7 has 10000 (100.0%) missing valuesMissing
Unnamed: 8 has 10000 (100.0%) missing valuesMissing
Unnamed: 9 has 10000 (100.0%) missing valuesMissing
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

Reproduction

Analysis started2023-12-12 01:39:27.347752
Analysis finished2023-12-12 01:39:28.184631
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발송일자
Date

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-10-01 00:00:00
Maximum2021-10-31 00:00:00
2023-12-12T10:39:28.263676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:39:28.415621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

발송집중국
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중부권광역우편물류센터
2226 
동서울우편집중국
781 
부평물류센터
613 
안양우편물류센터
 
476
고양우편집중국
 
468
Other values (24)
5436 

Length

Max length11
Median length7
Mean length7.9598
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양우편집중국
2nd row부천우편집중국
3rd row중부권광역우편물류센터
4th row순천집중과
5th row포항우편집중국

Common Values

ValueCountFrequency (%)
중부권광역우편물류센터 2226
22.3%
동서울우편집중국 781
 
7.8%
부평물류센터 613
 
6.1%
안양우편물류센터 476
 
4.8%
고양우편집중국 468
 
4.7%
대구우편집중국 375
 
3.8%
의정부우편집중국 368
 
3.7%
부산우편집중국 361
 
3.6%
동서울물류센터 360
 
3.6%
광주우편집중국 340
 
3.4%
Other values (19) 3632
36.3%

Length

2023-12-12T10:39:28.597802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중부권광역우편물류센터 2226
22.3%
동서울우편집중국 781
 
7.8%
부평물류센터 613
 
6.1%
안양우편물류센터 476
 
4.8%
고양우편집중국 468
 
4.7%
대구우편집중국 375
 
3.8%
의정부우편집중국 368
 
3.7%
부산우편집중국 361
 
3.6%
동서울물류센터 360
 
3.6%
광주우편집중국 340
 
3.4%
Other values (19) 3632
36.3%

도착집중국
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중부권광역우편물류센터
1852 
부평물류센터
679 
동서울우편집중국
632 
안양우편물류센터
 
543
부산우편집중국
 
528
Other values (24)
5766 

Length

Max length11
Median length7
Mean length7.8084
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의정부우편집중국
2nd row동서울우편집중국
3rd row부평물류센터
4th row동서울우편집중국
5th row부산우편집중국

Common Values

ValueCountFrequency (%)
중부권광역우편물류센터 1852
18.5%
부평물류센터 679
 
6.8%
동서울우편집중국 632
 
6.3%
안양우편물류센터 543
 
5.4%
부산우편집중국 528
 
5.3%
성남우편집중국 476
 
4.8%
고양우편집중국 425
 
4.2%
대구우편집중국 421
 
4.2%
의정부우편집중국 416
 
4.2%
수원우편집중국 410
 
4.1%
Other values (19) 3618
36.2%

Length

2023-12-12T10:39:28.815490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중부권광역우편물류센터 1852
18.5%
부평물류센터 679
 
6.8%
동서울우편집중국 632
 
6.3%
안양우편물류센터 543
 
5.4%
부산우편집중국 528
 
5.3%
성남우편집중국 476
 
4.8%
고양우편집중국 425
 
4.2%
대구우편집중국 421
 
4.2%
의정부우편집중국 416
 
4.2%
수원우편집중국 410
 
4.1%
Other values (19) 3618
36.2%

차량톤급
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
11.0
3600 
18.0
3227 
8.0
1753 
5.0
656 
25.0
490 
Other values (4)
 
274

Length

Max length4
Median length4
Mean length3.7294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row8.0
3rd row18.0
4th row8.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 3600
36.0%
18.0 3227
32.3%
8.0 1753
17.5%
5.0 656
 
6.6%
25.0 490
 
4.9%
4.5 116
 
1.2%
2.5 104
 
1.0%
1.0 31
 
0.3%
기타 23
 
0.2%

Length

2023-12-12T10:39:29.003008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:39:29.174480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11.0 3600
36.0%
18.0 3227
32.3%
8.0 1753
17.5%
5.0 656
 
6.6%
25.0 490
 
4.9%
4.5 116
 
1.2%
2.5 104
 
1.0%
1.0 31
 
0.3%
기타 23
 
0.2%

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Correlations

2023-12-12T10:39:29.295552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발송일자발송집중국도착집중국차량톤급
발송일자1.0000.2980.0820.145
발송집중국0.2981.0000.6090.501
도착집중국0.0820.6091.0000.473
차량톤급0.1450.5010.4731.000
2023-12-12T10:39:29.409088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착집중국발송집중국차량톤급
도착집중국1.0000.1430.198
발송집중국0.1431.0000.213
차량톤급0.1980.2131.000
2023-12-12T10:39:29.519705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발송집중국도착집중국차량톤급
발송집중국1.0000.1430.213
도착집중국0.1431.0000.198
차량톤급0.2130.1981.000

Missing values

2023-12-12T10:39:27.863854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:39:28.093358image/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

발송일자발송집중국도착집중국차량톤급Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
98132021-10-14고양우편집중국의정부우편집중국5.0<NA><NA><NA><NA><NA><NA>
242772021-10-29부천우편집중국동서울우편집중국8.0<NA><NA><NA><NA><NA><NA>
102772021-10-14중부권광역우편물류센터부평물류센터18.0<NA><NA><NA><NA><NA><NA>
9302021-10-01순천집중과동서울우편집중국8.0<NA><NA><NA><NA><NA><NA>
201462021-10-25포항우편집중국부산우편집중국11.0<NA><NA><NA><NA><NA><NA>
233522021-10-28부평물류센터동서울우편집중국18.0<NA><NA><NA><NA><NA><NA>
207032021-10-26고양우편집중국대전우편집중국11.0<NA><NA><NA><NA><NA><NA>
108442021-10-15동서울물류센터고양우편집중국5.0<NA><NA><NA><NA><NA><NA>
89462021-10-13중부권광역우편물류센터안양우편물류센터11.0<NA><NA><NA><NA><NA><NA>
167122021-10-21부평물류센터고양우편집중국11.0<NA><NA><NA><NA><NA><NA>
발송일자발송집중국도착집중국차량톤급Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
248942021-10-29중부권광역우편물류센터창원우편집중국11.0<NA><NA><NA><NA><NA><NA>
13602021-10-04안양우편물류센터중부권광역우편물류센터18.0<NA><NA><NA><NA><NA><NA>
175482021-10-22동서울물류센터안양우편물류센터8.0<NA><NA><NA><NA><NA><NA>
167012021-10-21부평물류센터부천우편집중국5.0<NA><NA><NA><NA><NA><NA>
22712021-10-05천안우편집중국중부권광역우편물류센터11.0<NA><NA><NA><NA><NA><NA>
42102021-10-07동서울우편집중국창원우편집중국18.0<NA><NA><NA><NA><NA><NA>
200452021-10-25대구우편집중국수원우편집중국18.0<NA><NA><NA><NA><NA><NA>
37922021-10-06중부권광역우편물류센터대구우편집중국18.0<NA><NA><NA><NA><NA><NA>
191192021-10-25부천우편집중국수원우편집중국11.0<NA><NA><NA><NA><NA><NA>
80032021-10-12원주우편집중국고양우편집중국8.0<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

발송일자발송집중국도착집중국차량톤급# duplicates
12662021-10-27부천우편집중국부평물류센터11.010
2502021-10-07부산우편집중국중부권광역우편물류센터11.09
8562021-10-19중부권광역우편물류센터제주우편집중국18.09
122021-10-01부산우편집중국중부권광역우편물류센터11.08
1302021-10-05전주우편집중국중부권광역우편물류센터18.08
1712021-10-06부천우편집중국부평물류센터11.08
1992021-10-06중부권광역우편물류센터동서울우편집중국18.08
4162021-10-12부천우편집중국부평물류센터11.08
4872021-10-13부산우편집중국중부권광역우편물류센터11.08
8662021-10-20대구우편집중국중부권광역우편물류센터11.08