Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 96 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.7 KiB |
| Average record size in memory | 18.4 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 대구광역시 상수도사업본부에서 2015년 1월부터 2022년 12월까지 월별 당초조정 시 물이용부담금 조정 건수를 제공합니다. |
|---|---|
| Author | 공공데이터포털 |
| URL | https://www.data.go.kr/data/15117479/fileData.do |
납기년월 has unique values | Unique |
Reproduction
| Analysis started | 2024-04-17 17:54:22.333849 |
|---|---|
| Analysis finished | 2024-04-17 17:54:22.542069 |
| Duration | 0.21 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
납기년월
Date
UNIQUE
| Distinct | 96 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 900.0 B |
| Minimum | 2015-01-01 00:00:00 |
|---|---|
| Maximum | 2022-12-01 00:00:00 |
Histogram with fixed size bins (bins=50)
고지건수
Real number (ℝ)
| Distinct | 95 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 140375.54 |
| Minimum | 132776 |
|---|---|
| Maximum | 147122 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 996.0 B |
Quantile statistics
| Minimum | 132776 |
|---|---|
| 5-th percentile | 134477.5 |
| Q1 | 136909.75 |
| median | 140854.5 |
| Q3 | 143150 |
| 95-th percentile | 145698.75 |
| Maximum | 147122 |
| Range | 14346 |
| Interquartile range (IQR) | 6240.25 |
Descriptive statistics
| Standard deviation | 3728.5289 |
|---|---|
| Coefficient of variation (CV) | 0.026561101 |
| Kurtosis | -1.0889462 |
| Mean | 140375.54 |
| Median Absolute Deviation (MAD) | 3104 |
| Skewness | -0.11507797 |
| Sum | 13476052 |
| Variance | 13901928 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 144744 | 2 | 2.1% |
| 140459 | 1 | 1.0% |
| 136574 | 1 | 1.0% |
| 139037 | 1 | 1.0% |
| 136660 | 1 | 1.0% |
| 139694 | 1 | 1.0% |
| 136941 | 1 | 1.0% |
| 137917 | 1 | 1.0% |
| 132776 | 1 | 1.0% |
| 134172 | 1 | 1.0% |
| Other values (85) | 85 |
| Value | Count | Frequency (%) |
| 132776 | 1 | |
| 133163 | 1 | |
| 134172 | 1 | |
| 134217 | 1 | |
| 134332 | 1 | |
| 134526 | 1 | |
| 134812 | 1 | |
| 135219 | 1 | |
| 135233 | 1 | |
| 135300 | 1 |
| Value | Count | Frequency (%) |
| 147122 | 1 | |
| 146398 | 1 | |
| 146123 | 1 | |
| 145867 | 1 | |
| 145800 | 1 | |
| 145665 | 1 | |
| 145622 | 1 | |
| 145483 | 1 | |
| 145395 | 1 | |
| 145394 | 1 |
| 납기년월 | 고지건수 | |
|---|---|---|
| 납기년월 | 1.000 | 1.000 |
| 고지건수 | 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.
| 납기년월 | 고지건수 | |
|---|---|---|
| 0 | 2015-01 | 140459 |
| 1 | 2015-02 | 142934 |
| 2 | 2015-03 | 139954 |
| 3 | 2015-04 | 143189 |
| 4 | 2015-05 | 140571 |
| 5 | 2015-06 | 143933 |
| 6 | 2015-07 | 141442 |
| 7 | 2015-08 | 144476 |
| 8 | 2015-09 | 141617 |
| 9 | 2015-10 | 144744 |
| 납기년월 | 고지건수 | |
|---|---|---|
| 86 | 2022-03 | 133163 |
| 87 | 2022-04 | 135809 |
| 88 | 2022-05 | 135725 |
| 89 | 2022-06 | 136508 |
| 90 | 2022-07 | 134812 |
| 91 | 2022-08 | 136691 |
| 92 | 2022-09 | 134526 |
| 93 | 2022-10 | 136445 |
| 94 | 2022-11 | 134217 |
| 95 | 2022-12 | 135943 |