Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 684 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 16.8 KiB |
| Average record size in memory | 25.2 B |
Variable types
| Numeric | 1 |
|---|---|
| DateTime | 2 |
Dataset
| Description | 부산광역시_수영장매표관리시스템사물함현황정보_20231231 |
|---|---|
| Author | 부산광역시 |
| URL | http://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15121077 |
사물함번호 has unique values | Unique |
Reproduction
| Analysis started | 2024-03-13 13:13:47.766500 |
|---|---|
| Analysis finished | 2024-03-13 13:13:49.486303 |
| Duration | 1.72 second |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
사물함번호
Real number (ℝ)
UNIQUE
| Distinct | 684 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 527.27047 |
| Minimum | 1 |
|---|---|
| Maximum | 1099 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 47.3 |
| Q1 | 232.5 |
| median | 469.5 |
| Q3 | 830.25 |
| 95-th percentile | 1045.85 |
| Maximum | 1099 |
| Range | 1098 |
| Interquartile range (IQR) | 597.75 |
Descriptive statistics
| Standard deviation | 332.32254 |
|---|---|
| Coefficient of variation (CV) | 0.6302696 |
| Kurtosis | -1.3484295 |
| Mean | 527.27047 |
| Median Absolute Deviation (MAD) | 293.5 |
| Skewness | 0.10913046 |
| Sum | 360653 |
| Variance | 110438.27 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 747 | 1 | 0.1% |
| 731 | 1 | 0.1% |
| 733 | 1 | 0.1% |
| 735 | 1 | 0.1% |
| 738 | 1 | 0.1% |
| 739 | 1 | 0.1% |
| 743 | 1 | 0.1% |
| 745 | 1 | 0.1% |
| 746 | 1 | 0.1% |
| Other values (674) | 674 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 13 | 1 |
| Value | Count | Frequency (%) |
| 1099 | 1 | |
| 1098 | 1 | |
| 1097 | 1 | |
| 1095 | 1 | |
| 1094 | 1 | |
| 1091 | 1 | |
| 1090 | 1 | |
| 1089 | 1 | |
| 1087 | 1 | |
| 1086 | 1 |
시작일자
Date
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.5 KiB |
| Minimum | 2023-10-01 00:00:00 |
|---|---|
| Maximum | 2024-01-01 00:00:00 |
Histogram with fixed size bins (bins=5)
종료일자
Date
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.5 KiB |
| Minimum | 2023-12-31 00:00:00 |
|---|---|
| Maximum | 2024-03-31 00:00:00 |
Histogram with fixed size bins (bins=5)
| 사물함번호 | 시작일자 | 종료일자 | |
|---|---|---|---|
| 사물함번호 | 1.000 | 0.293 | 0.306 |
| 시작일자 | 0.293 | 1.000 | 0.995 |
| 종료일자 | 0.306 | 0.995 | 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.
| 사물함번호 | 시작일자 | 종료일자 | |
|---|---|---|---|
| 0 | 1 | 2024-01-01 | 2024-03-31 |
| 1 | 2 | 2024-01-01 | 2024-03-31 |
| 2 | 3 | 2024-01-01 | 2024-03-31 |
| 3 | 5 | 2024-01-01 | 2024-03-31 |
| 4 | 6 | 2024-01-01 | 2024-03-31 |
| 5 | 7 | 2024-01-01 | 2024-03-31 |
| 6 | 9 | 2024-01-01 | 2024-03-31 |
| 7 | 10 | 2023-12-01 | 2024-02-29 |
| 8 | 11 | 2024-01-01 | 2024-03-31 |
| 9 | 13 | 2024-01-01 | 2024-03-31 |
| 사물함번호 | 시작일자 | 종료일자 | |
|---|---|---|---|
| 674 | 1086 | 2023-12-01 | 2024-02-29 |
| 675 | 1087 | 2024-01-01 | 2024-03-31 |
| 676 | 1089 | 2024-01-01 | 2024-03-31 |
| 677 | 1090 | 2024-01-01 | 2024-03-31 |
| 678 | 1091 | 2023-12-01 | 2024-02-29 |
| 679 | 1094 | 2024-01-01 | 2024-03-31 |
| 680 | 1095 | 2024-01-01 | 2024-03-31 |
| 681 | 1097 | 2024-01-01 | 2024-03-31 |
| 682 | 1098 | 2024-01-01 | 2024-03-31 |
| 683 | 1099 | 2024-01-01 | 2024-03-31 |