Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 24 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 780.0 B |
| Average record size in memory | 32.5 B |
Variable types
| Numeric | 3 |
|---|
Dataset
| Description | 광양항 컨테이너부두 구역 컨테이너차량의 시간대별 월간평균 출입 대수 데이터입니다. 데이터구성은 시간(시), 평균(월) 출입 대수, 이용빈도 순위로 구성되었습니다.데이터 갱신주기는 월간입니다. |
|---|---|
| Author | 여수광양항만공사 |
| URL | https://www.data.go.kr/data/15090158/fileData.do |
Reproduction
| Analysis started | 2024-05-04 07:15:59.022247 |
|---|---|
| Analysis finished | 2024-05-04 07:16:02.424625 |
| Duration | 3.4 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
시간(hour)
Real number (ℝ)
UNIQUE ZEROS
| Distinct | 24 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.5 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 1 |
| Zeros (%) | 4.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.15 |
| Q1 | 5.75 |
| median | 11.5 |
| Q3 | 17.25 |
| 95-th percentile | 21.85 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 11.5 |
Descriptive statistics
| Standard deviation | 7.0710678 |
|---|---|
| Coefficient of variation (CV) | 0.61487546 |
| Kurtosis | -1.2 |
| Mean | 11.5 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0 |
| Sum | 276 |
| Variance | 50 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 0 | 1 | 4.2% |
| 13 | 1 | 4.2% |
| 23 | 1 | 4.2% |
| 22 | 1 | 4.2% |
| 21 | 1 | 4.2% |
| 20 | 1 | 4.2% |
| 19 | 1 | 4.2% |
| 18 | 1 | 4.2% |
| 17 | 1 | 4.2% |
| 16 | 1 | 4.2% |
| Other values (14) | 14 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 23 | 1 | |
| 22 | 1 | |
| 21 | 1 | |
| 20 | 1 | |
| 19 | 1 | |
| 18 | 1 | |
| 17 | 1 | |
| 16 | 1 | |
| 15 | 1 | |
| 14 | 1 |
차량대수
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 18 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 121.83333 |
| Minimum | 0 |
|---|---|
| Maximum | 356 |
| Zeros | 7 |
| Zeros (%) | 29.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 38 |
| Q3 | 283.5 |
| 95-th percentile | 347.6 |
| Maximum | 356 |
| Range | 356 |
| Interquartile range (IQR) | 283.5 |
Descriptive statistics
| Standard deviation | 142.42272 |
|---|---|
| Coefficient of variation (CV) | 1.1689964 |
| Kurtosis | -1.4034622 |
| Mean | 121.83333 |
| Median Absolute Deviation (MAD) | 38 |
| Skewness | 0.65572625 |
| Sum | 2924 |
| Variance | 20284.232 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 0 | 7 | |
| 276 | 1 | 4.2% |
| 1 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| 12 | 1 | 4.2% |
| 26 | 1 | 4.2% |
| 50 | 1 | 4.2% |
| 63 | 1 | 4.2% |
| 155 | 1 | 4.2% |
| 325 | 1 | 4.2% |
| Other values (8) | 8 |
| Value | Count | Frequency (%) |
| 0 | 7 | |
| 1 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| 12 | 1 | 4.2% |
| 20 | 1 | 4.2% |
| 26 | 1 | 4.2% |
| 50 | 1 | 4.2% |
| 63 | 1 | 4.2% |
| 136 | 1 | 4.2% |
| 155 | 1 | 4.2% |
| Value | Count | Frequency (%) |
| 356 | 1 | |
| 350 | 1 | |
| 334 | 1 | |
| 325 | 1 | |
| 311 | 1 | |
| 306 | 1 | |
| 276 | 1 | |
| 199 | 1 | |
| 155 | 1 | |
| 136 | 1 |
이용빈도 순위
Real number (ℝ)
HIGH CORRELATION
| Distinct | 18 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.625 |
| Minimum | 1 |
|---|---|
| Maximum | 18 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2.15 |
| Q1 | 6.75 |
| median | 12.5 |
| Q3 | 18 |
| 95-th percentile | 18 |
| Maximum | 18 |
| Range | 17 |
| Interquartile range (IQR) | 11.25 |
Descriptive statistics
| Standard deviation | 5.9330504 |
|---|---|
| Coefficient of variation (CV) | 0.51036993 |
| Kurtosis | -1.3033005 |
| Mean | 11.625 |
| Median Absolute Deviation (MAD) | 5.5 |
| Skewness | -0.38764687 |
| Sum | 279 |
| Variance | 35.201087 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 18 | 7 | |
| 7 | 1 | 4.2% |
| 17 | 1 | 4.2% |
| 16 | 1 | 4.2% |
| 15 | 1 | 4.2% |
| 13 | 1 | 4.2% |
| 12 | 1 | 4.2% |
| 11 | 1 | 4.2% |
| 9 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| Other values (8) | 8 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 18 | 7 | |
| 17 | 1 | 4.2% |
| 16 | 1 | 4.2% |
| 15 | 1 | 4.2% |
| 14 | 1 | 4.2% |
| 13 | 1 | 4.2% |
| 12 | 1 | 4.2% |
| 11 | 1 | 4.2% |
| 10 | 1 | 4.2% |
| 9 | 1 | 4.2% |
| 시간(hour) | 차량대수 | 이용빈도 순위 | |
|---|---|---|---|
| 시간(hour) | 1.000 | 0.574 | 0.766 |
| 차량대수 | 0.574 | 1.000 | 0.922 |
| 이용빈도 순위 | 0.766 | 0.922 | 1.000 |
| 시간(hour) | 차량대수 | 이용빈도 순위 | |
|---|---|---|---|
| 시간(hour) | 1.000 | 0.414 | -0.414 |
| 차량대수 | 0.414 | 1.000 | -1.000 |
| 이용빈도 순위 | -0.414 | -1.000 | 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.
| 시간(hour) | 차량대수 | 이용빈도 순위 | |
|---|---|---|---|
| 0 | 0 | 0 | 18 |
| 1 | 1 | 0 | 18 |
| 2 | 2 | 0 | 18 |
| 3 | 3 | 0 | 18 |
| 4 | 4 | 0 | 18 |
| 5 | 5 | 0 | 18 |
| 6 | 6 | 0 | 18 |
| 7 | 7 | 20 | 14 |
| 8 | 8 | 199 | 8 |
| 9 | 9 | 311 | 5 |
| 시간(hour) | 차량대수 | 이용빈도 순위 | |
|---|---|---|---|
| 14 | 14 | 350 | 2 |
| 15 | 15 | 325 | 4 |
| 16 | 16 | 276 | 7 |
| 17 | 17 | 155 | 9 |
| 18 | 18 | 63 | 11 |
| 19 | 19 | 50 | 12 |
| 20 | 20 | 26 | 13 |
| 21 | 21 | 12 | 15 |
| 22 | 22 | 4 | 16 |
| 23 | 23 | 1 | 17 |