Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 48 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.3 KiB |
| Average record size in memory | 27.8 B |
Variable types
| DateTime | 2 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 서울특별시 광진구의 의류폐기물 현황을 제공합니다.(의류 데이터의 연월, 양, 기준일 등의 정보를 제공합니다.) |
|---|---|
| Author | 서울특별시 광진구 |
| URL | https://www.data.go.kr/data/15110023/fileData.do |
Reproduction
| Analysis started | 2024-04-21 02:13:53.210346 |
|---|---|
| Analysis finished | 2024-04-21 02:13:54.609581 |
| Duration | 1.4 second |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
연월
Date
UNIQUE
| Distinct | 48 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 516.0 B |
| Minimum | 2020-01-01 00:00:00 |
|---|---|
| Maximum | 2023-12-01 00:00:00 |
Histogram with fixed size bins (bins=48)
양(kg)
Real number (ℝ)
| Distinct | 46 |
|---|---|
| Distinct (%) | 95.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60942.188 |
| Minimum | 32363 |
|---|---|
| Maximum | 88900 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 564.0 B |
Quantile statistics
| Minimum | 32363 |
|---|---|
| 5-th percentile | 35550.5 |
| Q1 | 48852.75 |
| median | 60259.5 |
| Q3 | 74590 |
| 95-th percentile | 84049.55 |
| Maximum | 88900 |
| Range | 56537 |
| Interquartile range (IQR) | 25737.25 |
Descriptive statistics
| Standard deviation | 15944.623 |
|---|---|
| Coefficient of variation (CV) | 0.26163523 |
| Kurtosis | -1.0853951 |
| Mean | 60942.188 |
| Median Absolute Deviation (MAD) | 14141 |
| Skewness | -0.045375623 |
| Sum | 2925225 |
| Variance | 2.5423101 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 69350 | 3 | 6.2% |
| 59894 | 1 | 2.1% |
| 60357 | 1 | 2.1% |
| 58845 | 1 | 2.1% |
| 52140 | 1 | 2.1% |
| 47538 | 1 | 2.1% |
| 53596 | 1 | 2.1% |
| 54170 | 1 | 2.1% |
| 38939 | 1 | 2.1% |
| 35470 | 1 | 2.1% |
| Other values (36) | 36 |
| Value | Count | Frequency (%) |
| 32363 | 1 | |
| 32749 | 1 | |
| 35470 | 1 | |
| 35700 | 1 | |
| 38939 | 1 | |
| 40092 | 1 | |
| 42824 | 1 | |
| 43234 | 1 | |
| 44100 | 1 | |
| 46008 | 1 |
| Value | Count | Frequency (%) |
| 88900 | 1 | |
| 86123 | 1 | |
| 84507 | 1 | |
| 83200 | 1 | |
| 82780 | 1 | |
| 81500 | 1 | |
| 80495 | 1 | |
| 79550 | 1 | |
| 79530 | 1 | |
| 77850 | 1 |
기준일
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 516.0 B |
| Minimum | 2024-04-03 00:00:00 |
|---|---|
| Maximum | 2024-04-03 00:00:00 |
Histogram with fixed size bins (bins=1)
| 연월 | 양(kg) | |
|---|---|---|
| 연월 | 1.000 | 1.000 |
| 양(kg) | 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.
| 연월 | 양(kg) | 기준일 | |
|---|---|---|---|
| 0 | 2020-01-01 | 35700 | 2024-04-03 |
| 1 | 2020-02-01 | 44100 | 2024-04-03 |
| 2 | 2020-03-01 | 49300 | 2024-04-03 |
| 3 | 2020-04-01 | 65700 | 2024-04-03 |
| 4 | 2020-05-01 | 74520 | 2024-04-03 |
| 5 | 2020-06-01 | 88900 | 2024-04-03 |
| 6 | 2020-07-01 | 76300 | 2024-04-03 |
| 7 | 2020-08-01 | 74800 | 2024-04-03 |
| 8 | 2020-09-01 | 83200 | 2024-04-03 |
| 9 | 2020-10-01 | 81500 | 2024-04-03 |
| 연월 | 양(kg) | 기준일 | |
|---|---|---|---|
| 38 | 2023-03-01 | 40092 | 2024-04-03 |
| 39 | 2023-04-01 | 86123 | 2024-04-03 |
| 40 | 2023-05-01 | 84507 | 2024-04-03 |
| 41 | 2023-06-01 | 80495 | 2024-04-03 |
| 42 | 2023-07-01 | 43234 | 2024-04-03 |
| 43 | 2023-08-01 | 42824 | 2024-04-03 |
| 44 | 2023-09-01 | 46138 | 2024-04-03 |
| 45 | 2023-10-01 | 53506 | 2024-04-03 |
| 46 | 2023-11-01 | 49291 | 2024-04-03 |
| 47 | 2023-12-01 | 46008 | 2024-04-03 |