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 월간 컨테이너차량 운송실적(수출입 구분) 데이터입니다. 데이터구성은 일자, 수입, 수출로 구성됩니다.데이터는 매월 갱신됩니다. |
|---|---|
| Author | 여수광양항만공사 |
| URL | https://www.data.go.kr/data/15090134/fileData.do |
Reproduction
| Analysis started | 2024-05-04 07:02:22.664186 |
|---|---|
| Analysis finished | 2024-05-04 07:02:29.616931 |
| Duration | 6.95 seconds |
| 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)
수입
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 31 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2443.2903 |
| Minimum | 7 |
|---|---|
| Maximum | 4422 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 411.0 B |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 42 |
| Q1 | 665.5 |
| median | 3259 |
| Q3 | 3636.5 |
| 95-th percentile | 4019.5 |
| Maximum | 4422 |
| Range | 4415 |
| Interquartile range (IQR) | 2971 |
Descriptive statistics
| Standard deviation | 1567.717 |
|---|---|
| Coefficient of variation (CV) | 0.6416417 |
| Kurtosis | -1.5189695 |
| Mean | 2443.2903 |
| Median Absolute Deviation (MAD) | 551 |
| Skewness | -0.57479902 |
| Sum | 75742 |
| Variance | 2457736.5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 688 | 1 | 3.2% |
| 569 | 1 | 3.2% |
| 170 | 1 | 3.2% |
| 643 | 1 | 3.2% |
| 3259 | 1 | 3.2% |
| 3603 | 1 | 3.2% |
| 4048 | 1 | 3.2% |
| 3991 | 1 | 3.2% |
| 3346 | 1 | 3.2% |
| 132 | 1 | 3.2% |
| Other values (21) | 21 |
| Value | Count | Frequency (%) |
| 7 | 1 | |
| 19 | 1 | |
| 65 | 1 | |
| 132 | 1 | |
| 170 | 1 | |
| 543 | 1 | |
| 569 | 1 | |
| 643 | 1 | |
| 688 | 1 | |
| 721 | 1 |
| Value | Count | Frequency (%) |
| 4422 | 1 | |
| 4048 | 1 | |
| 3991 | 1 | |
| 3939 | 1 | |
| 3810 | 1 | |
| 3798 | 1 | |
| 3673 | 1 | |
| 3670 | 1 | |
| 3603 | 1 | |
| 3553 | 1 |
수출
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 31 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1560.5484 |
| Minimum | 14 |
|---|---|
| Maximum | 3160 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 411.0 B |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 303 |
| median | 2137 |
| Q3 | 2283 |
| 95-th percentile | 2798 |
| Maximum | 3160 |
| Range | 3146 |
| Interquartile range (IQR) | 1980 |
Descriptive statistics
| Standard deviation | 1057.9728 |
|---|---|
| Coefficient of variation (CV) | 0.67794938 |
| Kurtosis | -1.5149873 |
| Mean | 1560.5484 |
| Median Absolute Deviation (MAD) | 195 |
| Skewness | -0.48040646 |
| Sum | 48377 |
| Variance | 1119306.5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 191 | 1 | 3.2% |
| 292 | 1 | 3.2% |
| 16 | 1 | 3.2% |
| 317 | 1 | 3.2% |
| 2232 | 1 | 3.2% |
| 2375 | 1 | 3.2% |
| 2677 | 1 | 3.2% |
| 3160 | 1 | 3.2% |
| 2331 | 1 | 3.2% |
| 169 | 1 | 3.2% |
| Other values (21) | 21 |
| Value | Count | Frequency (%) |
| 14 | 1 | |
| 16 | 1 | |
| 36 | 1 | |
| 44 | 1 | |
| 169 | 1 | |
| 191 | 1 | |
| 270 | 1 | |
| 292 | 1 | |
| 314 | 1 | |
| 317 | 1 |
| Value | Count | Frequency (%) |
| 3160 | 1 | |
| 2919 | 1 | |
| 2677 | 1 | |
| 2375 | 1 | |
| 2332 | 1 | |
| 2331 | 1 | |
| 2329 | 1 | |
| 2285 | 1 | |
| 2281 | 1 | |
| 2260 | 1 |
| 일자 | 수입 | 수출 | |
|---|---|---|---|
| 일자 | 1.000 | 1.000 | 1.000 |
| 수입 | 1.000 | 1.000 | 0.749 |
| 수출 | 1.000 | 0.749 | 1.000 |
| 수입 | 수출 | |
|---|---|---|
| 수입 | 1.000 | 0.852 |
| 수출 | 0.852 | 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 | 수입 | 수출 | |
|---|---|---|---|
| 0 | 2024-03-01 | 688 | 191 |
| 1 | 2024-03-02 | 569 | 292 |
| 2 | 2024-03-03 | 65 | 44 |
| 3 | 2024-03-04 | 3054 | 2100 |
| 4 | 2024-03-05 | 3175 | 2137 |
| 5 | 2024-03-06 | 3798 | 2329 |
| 6 | 2024-03-07 | 3810 | 2040 |
| 7 | 2024-03-08 | 3553 | 2260 |
| 8 | 2024-03-09 | 543 | 511 |
| 9 | 2024-03-10 | 7 | 14 |
| 일자 | 수입 | 수출 | |
|---|---|---|---|
| 21 | 2024-03-22 | 3246 | 2229 |
| 22 | 2024-03-23 | 1040 | 270 |
| 23 | 2024-03-24 | 132 | 169 |
| 24 | 2024-03-25 | 3346 | 2331 |
| 25 | 2024-03-26 | 3991 | 3160 |
| 26 | 2024-03-27 | 4048 | 2677 |
| 27 | 2024-03-28 | 3603 | 2375 |
| 28 | 2024-03-29 | 3259 | 2232 |
| 29 | 2024-03-30 | 643 | 317 |
| 30 | 2024-03-31 | 170 | 16 |