Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells9896
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

DateTime2
Numeric1

Dataset

Description가축분뇨 전자인계관리시스탬에서 관리하고 있는 가축분뇨 중 액비의 운반인계서 정보 중 운반차량으로 등록된 데이터입니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15041959/fileData.do

Alerts

수정일자 has 9896 (99.0%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:46:58.682871
Analysis finished2023-12-12 05:46:59.100115
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-05-01 00:00:00
2023-12-12T14:46:59.164384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:59.375618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

수정일자
Date

MISSING 

Distinct5
Distinct (%)4.8%
Missing9896
Missing (%)99.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-05-01 00:00:00
2023-12-12T14:46:59.484849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:59.618100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1028704 × 109
Minimum1.9104739 × 109
Maximum2.1058982 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:46:59.780775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9104739 × 109
5-th percentile2.1017937 × 109
Q12.1028145 × 109
median2.1038394 × 109
Q32.1038651 × 109
95-th percentile2.1048885 × 109
Maximum2.1058982 × 109
Range1.9542433 × 108
Interquartile range (IQR)1050559.2

Descriptive statistics

Standard deviation8322258.2
Coefficient of variation (CV)0.0039575707
Kurtosis312.37496
Mean2.1028704 × 109
Median Absolute Deviation (MAD)1021473
Skewness-16.585438
Sum2.1028704 × 1013
Variance6.9259981 × 1013
MonotonicityNot monotonic
2023-12-12T14:46:59.960174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2103846526 1
 
< 0.1%
2101792022 1
 
< 0.1%
2101796109 1
 
< 0.1%
2105896009 1
 
< 0.1%
2103848219 1
 
< 0.1%
2104891515 1
 
< 0.1%
2103859962 1
 
< 0.1%
2103867164 1
 
< 0.1%
2101805536 1
 
< 0.1%
2102830601 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1910473917 1
< 0.1%
1910473922 1
< 0.1%
1911487123 1
< 0.1%
1911488009 1
< 0.1%
1911489857 1
< 0.1%
1911498493 1
< 0.1%
1911498497 1
< 0.1%
1912515668 1
< 0.1%
1912520031 1
< 0.1%
2002547212 1
< 0.1%
ValueCountFrequency (%)
2105898245 1
< 0.1%
2105898236 1
< 0.1%
2105898227 1
< 0.1%
2105898218 1
< 0.1%
2105898217 1
< 0.1%
2105898205 1
< 0.1%
2105898204 1
< 0.1%
2105898195 1
< 0.1%
2105898191 1
< 0.1%
2105898188 1
< 0.1%

Interactions

2023-12-12T14:46:58.829717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:47:00.103231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자수정일자번호
등록일자1.0000.9980.082
수정일자0.9981.000NaN
번호0.082NaN1.000

Missing values

2023-12-12T14:46:58.970280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:46:59.055674image/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

등록일자수정일자번호
668832021-03<NA>2103846526
869332021-03<NA>2103867939
758102021-03<NA>2103861575
360862021-02<NA>2102830909
478422021-02<NA>2102828385
64072021-01<NA>2101801253
686142021-03<NA>2103843841
891972021-03<NA>2103864776
586992021-03<NA>2103849546
588692021-03<NA>2103844224
등록일자수정일자번호
450752021-02<NA>2102834247
730502021-03<NA>2103866869
395472021-02<NA>2102827347
33222021-01<NA>2101792303
938572021-04<NA>2104890081
666242021-03<NA>2103845955
605812021-03<NA>2103857638
813842021-03<NA>2103867005
928582021-05<NA>2105896070
606292021-03<NA>2103842373