Overview

Dataset statistics

Number of variables4
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory36.4 B

Variable types

DateTime1
Numeric3

Dataset

Description광양항 컨테이너부두 지역 월간 컨테이너차량의 공컨테이너, 적컨테이너 운송실적에 대한 데이터입니다. 데이터 구성은 공컨테이너 수, 적컨테이너 수, 합계로 구성됩니다.데이터 는 분기로 갱신됩니다.
Author여수광양항만공사
URLhttps://www.data.go.kr/data/15090120/fileData.do

Alerts

적컨테이너 is highly overall correlated with 공컨테이너 and 1 other fieldsHigh correlation
공컨테이너 is highly overall correlated with 적컨테이너 and 1 other fieldsHigh correlation
합계 is highly overall correlated with 적컨테이너 and 1 other fieldsHigh correlation
일자 has unique valuesUnique
합계 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:08:30.281084
Analysis finished2024-03-14 10:08:32.993935
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
Minimum2023-10-01 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T19:08:33.213224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:33.671811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

적컨테이너
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2516.4348
Minimum13
Maximum4670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2024-03-14T19:08:34.037212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile43.2
Q1706
median3452.5
Q33854.5
95-th percentile4230.9
Maximum4670
Range4657
Interquartile range (IQR)3148.5

Descriptive statistics

Standard deviation1609.3965
Coefficient of variation (CV)0.63955423
Kurtosis-1.5108971
Mean2516.4348
Median Absolute Deviation (MAD)609
Skewness-0.5059726
Sum231512
Variance2590157.1
MonotonicityNot monotonic
2024-03-14T19:08:34.283202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 2
 
2.2%
83 2
 
2.2%
3880 2
 
2.2%
4065 2
 
2.2%
3693 2
 
2.2%
27 1
 
1.1%
2847 1
 
1.1%
3527 1
 
1.1%
3277 1
 
1.1%
3293 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
13 1
1.1%
22 1
1.1%
25 1
1.1%
27 1
1.1%
41 1
1.1%
45 2
2.2%
46 1
1.1%
79 1
1.1%
83 2
2.2%
90 1
1.1%
ValueCountFrequency (%)
4670 1
1.1%
4307 1
1.1%
4268 1
1.1%
4267 1
1.1%
4232 1
1.1%
4230 1
1.1%
4195 1
1.1%
4091 1
1.1%
4065 2
2.2%
4057 1
1.1%

공컨테이너
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2452.8261
Minimum2
Maximum4646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2024-03-14T19:08:34.524729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.55
Q1577.75
median3394
Q33733
95-th percentile4237.45
Maximum4646
Range4644
Interquartile range (IQR)3155.25

Descriptive statistics

Standard deviation1619.6767
Coefficient of variation (CV)0.66033084
Kurtosis-1.5354979
Mean2452.8261
Median Absolute Deviation (MAD)624
Skewness-0.48985555
Sum225660
Variance2623352.6
MonotonicityNot monotonic
2024-03-14T19:08:34.769390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 3
 
3.3%
3447 2
 
2.2%
3349 1
 
1.1%
3520 1
 
1.1%
3064 1
 
1.1%
3328 1
 
1.1%
3868 1
 
1.1%
3415 1
 
1.1%
294 1
 
1.1%
2830 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
2 1
 
1.1%
4 1
 
1.1%
7 3
3.3%
8 1
 
1.1%
21 1
 
1.1%
26 1
 
1.1%
34 1
 
1.1%
40 1
 
1.1%
47 1
 
1.1%
52 1
 
1.1%
ValueCountFrequency (%)
4646 1
1.1%
4443 1
1.1%
4366 1
1.1%
4278 1
1.1%
4249 1
1.1%
4228 1
1.1%
4190 1
1.1%
4162 1
1.1%
4076 1
1.1%
4063 1
1.1%

합계
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4969.2609
Minimum32
Maximum9113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2024-03-14T19:08:35.094110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile70.65
Q11375.75
median6955
Q37563
95-th percentile8196.5
Maximum9113
Range9081
Interquartile range (IQR)6187.25

Descriptive statistics

Standard deviation3214.8765
Coefficient of variation (CV)0.64695265
Kurtosis-1.5333534
Mean4969.2609
Median Absolute Deviation (MAD)1011.5
Skewness-0.52318056
Sum457172
Variance10335431
MonotonicityNot monotonic
2024-03-14T19:08:35.519612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 1
 
1.1%
7751 1
 
1.1%
7059 1
 
1.1%
6591 1
 
1.1%
6605 1
 
1.1%
7161 1
 
1.1%
6652 1
 
1.1%
32 1
 
1.1%
697 1
 
1.1%
5677 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
32 1
1.1%
34 1
1.1%
35 1
1.1%
48 1
1.1%
69 1
1.1%
72 1
1.1%
79 1
1.1%
81 1
1.1%
85 1
1.1%
87 1
1.1%
ValueCountFrequency (%)
9113 1
1.1%
8703 1
1.1%
8495 1
1.1%
8431 1
1.1%
8279 1
1.1%
8129 1
1.1%
8066 1
1.1%
8062 1
1.1%
8060 1
1.1%
7873 1
1.1%

Interactions

2024-03-14T19:08:31.792018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:30.414564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:31.103242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:32.018455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:30.643545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:31.333924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:32.245557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:30.874525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:31.561965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:08:35.776481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자적컨테이너공컨테이너합계
일자1.0001.0001.0001.000
적컨테이너1.0001.0000.9380.972
공컨테이너1.0000.9381.0000.984
합계1.0000.9720.9841.000
2024-03-14T19:08:36.026402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적컨테이너공컨테이너합계
적컨테이너1.0000.8490.960
공컨테이너0.8491.0000.951
합계0.9600.9511.000

Missing values

2024-03-14T19:08:32.560323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:08:32.884438image/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

일자적컨테이너공컨테이너합계
02023-10-0127835
12023-10-02520441961
22023-10-03400359759
32023-10-04400142788279
42023-10-05419538658060
52023-10-06467044439113
62023-10-07145112972748
72023-10-08132134
82023-10-09418289707
92023-10-10405746468703
일자적컨테이너공컨테이너합계
822023-12-22352936617190
832023-12-23131210302342
842023-12-24196195391
852023-12-25235181416
862023-12-26376434947258
872023-12-27390041628062
882023-12-28430734277734
892023-12-29406537557820
902023-12-309187691687
912023-12-3179281