Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 31 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 938.0 B |
| Average record size in memory | 30.3 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 2 |
Dataset
| Description | 광양항 컨테이너부두 구역 컨테이너화물차량의 이동통계 데이터입니다. 데이터는 날자, 출입차량 대수, 평균소요시간(분)으로 구성되어 있습니다.데이터 갱신주기는 월간입니다. |
|---|---|
| Author | 여수광양항만공사 |
| URL | https://www.data.go.kr/data/15090146/fileData.do |
Reproduction
| Analysis started | 2024-05-04 07:32:50.651604 |
|---|---|
| Analysis finished | 2024-05-04 07:32:52.063189 |
| Duration | 1.41 second |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
일자
Date
UNIQUE
| Distinct | 31 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 380.0 B |
| Minimum | 2024-03-01 00:00:00 |
|---|---|
| Maximum | 2024-03-31 00:00:00 |
Histogram with fixed size bins (bins=31)
차량대수
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 31 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2935.7742 |
| Minimum | 15 |
|---|---|
| Maximum | 5499 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 411.0 B |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 50.5 |
| Q1 | 756.5 |
| median | 2369 |
| Q3 | 5131.5 |
| 95-th percentile | 5408 |
| Maximum | 5499 |
| Range | 5484 |
| Interquartile range (IQR) | 4375 |
Descriptive statistics
| Standard deviation | 2286.733 |
|---|---|
| Coefficient of variation (CV) | 0.77891991 |
| Kurtosis | -1.925529 |
| Mean | 2935.7742 |
| Median Absolute Deviation (MAD) | 2354 |
| Skewness | -0.10638784 |
| Sum | 91009 |
| Variance | 5229147.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 811 | 1 | 3.2% |
| 738 | 1 | 3.2% |
| 137 | 1 | 3.2% |
| 775 | 1 | 3.2% |
| 5120 | 1 | 3.2% |
| 5102 | 1 | 3.2% |
| 1357 | 1 | 3.2% |
| 88 | 1 | 3.2% |
| 2348 | 1 | 3.2% |
| 52 | 1 | 3.2% |
| Other values (21) | 21 |
| Value | Count | Frequency (%) |
| 15 | 1 | |
| 49 | 1 | |
| 52 | 1 | |
| 88 | 1 | |
| 89 | 1 | |
| 137 | 1 | |
| 596 | 1 | |
| 738 | 1 | |
| 775 | 1 | |
| 798 | 1 |
| Value | Count | Frequency (%) |
| 5499 | 1 | |
| 5432 | 1 | |
| 5384 | 1 | |
| 5382 | 1 | |
| 5268 | 1 | |
| 5234 | 1 | |
| 5210 | 1 | |
| 5143 | 1 | |
| 5120 | 1 | |
| 5102 | 1 |
평균소요시간(분)
Real number (ℝ)
HIGH CORRELATION
| Distinct | 19 |
|---|---|
| Distinct (%) | 61.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.354839 |
| Minimum | 12 |
|---|---|
| Maximum | 56 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 411.0 B |
Quantile statistics
| Minimum | 12 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 24.5 |
| median | 28 |
| Q3 | 32 |
| 95-th percentile | 37 |
| Maximum | 56 |
| Range | 44 |
| Interquartile range (IQR) | 7.5 |
Descriptive statistics
| Standard deviation | 7.7483262 |
|---|---|
| Coefficient of variation (CV) | 0.27326293 |
| Kurtosis | 4.8175483 |
| Mean | 28.354839 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.0966047 |
| Sum | 879 |
| Variance | 60.036559 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 32 | 5 | |
| 28 | 3 | 9.7% |
| 26 | 2 | 6.5% |
| 27 | 2 | 6.5% |
| 29 | 2 | 6.5% |
| 30 | 2 | 6.5% |
| 24 | 2 | 6.5% |
| 21 | 2 | 6.5% |
| 25 | 1 | 3.2% |
| 15 | 1 | 3.2% |
| Other values (9) | 9 |
| Value | Count | Frequency (%) |
| 12 | 1 | 3.2% |
| 15 | 1 | 3.2% |
| 19 | 1 | 3.2% |
| 21 | 2 | |
| 22 | 1 | 3.2% |
| 24 | 2 | |
| 25 | 1 | 3.2% |
| 26 | 2 | |
| 27 | 2 | |
| 28 | 3 |
| Value | Count | Frequency (%) |
| 56 | 1 | 3.2% |
| 39 | 1 | 3.2% |
| 35 | 1 | 3.2% |
| 34 | 1 | 3.2% |
| 33 | 1 | 3.2% |
| 32 | 5 | |
| 31 | 1 | 3.2% |
| 30 | 2 | 6.5% |
| 29 | 2 | 6.5% |
| 28 | 3 |
| 일자 | 차량대수 | 평균소요시간(분) | |
|---|---|---|---|
| 일자 | 1.000 | 1.000 | 1.000 |
| 차량대수 | 1.000 | 1.000 | 0.531 |
| 평균소요시간(분) | 1.000 | 0.531 | 1.000 |
| 차량대수 | 평균소요시간(분) | |
|---|---|---|
| 차량대수 | 1.000 | 0.631 |
| 평균소요시간(분) | 0.631 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 일자 | 차량대수 | 평균소요시간(분) | |
|---|---|---|---|
| 0 | 2024-03-01 | 811 | 22 |
| 1 | 2024-03-02 | 738 | 21 |
| 2 | 2024-03-03 | 89 | 19 |
| 3 | 2024-03-04 | 4806 | 27 |
| 4 | 2024-03-05 | 4809 | 29 |
| 5 | 2024-03-06 | 5234 | 35 |
| 6 | 2024-03-07 | 5268 | 30 |
| 7 | 2024-03-08 | 5101 | 33 |
| 8 | 2024-03-09 | 798 | 28 |
| 9 | 2024-03-10 | 15 | 12 |
| 일자 | 차량대수 | 평균소요시간(분) | |
|---|---|---|---|
| 21 | 2024-03-22 | 2346 | 26 |
| 22 | 2024-03-23 | 596 | 31 |
| 23 | 2024-03-24 | 52 | 24 |
| 24 | 2024-03-25 | 2348 | 56 |
| 25 | 2024-03-26 | 88 | 15 |
| 26 | 2024-03-27 | 1357 | 26 |
| 27 | 2024-03-28 | 5102 | 24 |
| 28 | 2024-03-29 | 5120 | 27 |
| 29 | 2024-03-30 | 775 | 25 |
| 30 | 2024-03-31 | 137 | 28 |