Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 24 |
| Missing cells | 9 |
| Missing cells (%) | 18.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 540.0 B |
| Average record size in memory | 22.5 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 충청남도 계룡시 코로나-19 확진자 현황에 관한 공공데이터로서 기준날짜, 확진자 수 항목을 공공데이터로 제공합니다. |
|---|---|
| Author | 충청남도 계룡시 |
| URL | https://www.data.go.kr/data/15099425/fileData.do |
Reproduction
| Analysis started | 2023-12-12 03:45:12.918823 |
|---|---|
| Analysis finished | 2023-12-12 03:45:13.298154 |
| Duration | 0.38 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
월
Date
UNIQUE
| Distinct | 24 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 324.0 B |
| Minimum | 2020-01-01 00:00:00 |
|---|---|
| Maximum | 2021-12-01 00:00:00 |
Histogram with fixed size bins (bins=24)
확진자수
Real number (ℝ)
MISSING
| Distinct | 11 |
|---|---|
| Distinct (%) | 73.3% |
| Missing | 9 |
| Missing (%) | 37.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16 |
| Minimum | 1 |
|---|---|
| Maximum | 118 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 5 |
| Q3 | 12 |
| 95-th percentile | 65.5 |
| Maximum | 118 |
| Range | 117 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 30.260771 |
|---|---|
| Coefficient of variation (CV) | 1.8912982 |
| Kurtosis | 10.524465 |
| Mean | 16 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 3.1498375 |
| Sum | 240 |
| Variance | 915.71429 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 2 | 3 | 12.5% |
| 1 | 2 | 8.3% |
| 9 | 2 | 8.3% |
| 5 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| 3 | 1 | 4.2% |
| 6 | 1 | 4.2% |
| 20 | 1 | 4.2% |
| 15 | 1 | 4.2% |
| 43 | 1 | 4.2% |
| (Missing) | 9 |
| Value | Count | Frequency (%) |
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| 5 | 1 | 4.2% |
| 6 | 1 | 4.2% |
| 9 | 2 | |
| 15 | 1 | 4.2% |
| 20 | 1 | 4.2% |
| 43 | 1 | 4.2% |
| Value | Count | Frequency (%) |
| 118 | 1 | 4.2% |
| 43 | 1 | 4.2% |
| 20 | 1 | 4.2% |
| 15 | 1 | 4.2% |
| 9 | 2 | |
| 6 | 1 | 4.2% |
| 5 | 1 | 4.2% |
| 4 | 1 | 4.2% |
| 3 | 1 | 4.2% |
| 2 | 3 |
| 월 | 확진자수 | |
|---|---|---|
| 월 | 1.000 | 1.000 |
| 확진자수 | 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.
| 월 | 확진자수 | |
|---|---|---|
| 0 | 2020-01 | <NA> |
| 1 | 2020-02 | 1 |
| 2 | 2020-03 | <NA> |
| 3 | 2020-04 | <NA> |
| 4 | 2020-05 | <NA> |
| 5 | 2020-06 | 2 |
| 6 | 2020-07 | <NA> |
| 7 | 2020-08 | 5 |
| 8 | 2020-09 | 2 |
| 9 | 2020-10 | <NA> |
| 월 | 확진자수 | |
|---|---|---|
| 14 | 2021-03 | <NA> |
| 15 | 2021-04 | 3 |
| 16 | 2021-05 | 6 |
| 17 | 2021-06 | 1 |
| 18 | 2021-07 | 20 |
| 19 | 2021-08 | 9 |
| 20 | 2021-09 | 15 |
| 21 | 2021-10 | 9 |
| 22 | 2021-11 | 43 |
| 23 | 2021-12 | 118 |