Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 24 |
| Missing cells | 2 |
| Missing cells (%) | 2.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 756.0 B |
| Average record size in memory | 31.5 B |
Variable types
| DateTime | 1 |
|---|---|
| Numeric | 1 |
| Categorical | 1 |
Dataset
| Description | 이 데이터는 2020~2021년 충청남도 아산시 관내 코로나19 사망자 및 확진자 현황으로 월, 사망자수, 확진자수를 제공합니다. |
|---|---|
| Author | 충청남도 |
| URL | https://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=109&beforeMenuCd=DOM_000000201001001000&publicdatapk=15098663 |
Reproduction
| Analysis started | 2024-01-09 22:35:20.485979 |
|---|---|
| Analysis finished | 2024-01-09 22:35:20.751904 |
| Duration | 0.27 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
월별
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)
확진자
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 21 |
|---|---|
| Distinct (%) | 95.5% |
| Missing | 2 |
| Missing (%) | 8.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 132.72727 |
| Minimum | 1 |
|---|---|
| Maximum | 771 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2.2 |
| Q1 | 11.25 |
| median | 62 |
| Q3 | 166.5 |
| 95-th percentile | 473.05 |
| Maximum | 771 |
| Range | 770 |
| Interquartile range (IQR) | 155.25 |
Descriptive statistics
| Standard deviation | 188.55419 |
|---|---|
| Coefficient of variation (CV) | 1.4206138 |
| Kurtosis | 5.7723073 |
| Mean | 132.72727 |
| Median Absolute Deviation (MAD) | 55 |
| Skewness | 2.2974733 |
| Sum | 2920 |
| Variance | 35552.684 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 7 | 2 | 8.3% |
| 1 | 1 | 4.2% |
| 6 | 1 | 4.2% |
| 771 | 1 | 4.2% |
| 266 | 1 | 4.2% |
| 213 | 1 | 4.2% |
| 481 | 1 | 4.2% |
| 322 | 1 | 4.2% |
| 147 | 1 | 4.2% |
| 54 | 1 | 4.2% |
| Other values (11) | 11 | |
| (Missing) | 2 | 8.3% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 10 | 1 | |
| 15 | 1 | |
| 17 | 1 | |
| 35 | 1 | |
| 54 | 1 | |
| 55 | 1 |
| Value | Count | Frequency (%) |
| 771 | 1 | |
| 481 | 1 | |
| 322 | 1 | |
| 266 | 1 | |
| 213 | 1 | |
| 173 | 1 | |
| 147 | 1 | |
| 100 | 1 | |
| 90 | 1 | |
| 79 | 1 |
사망자
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 12.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 324.0 B |
| <NA> | |
|---|---|
| 3 | |
| 1 | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.5 |
| Min length | 1 |
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 4.2% |
Sample
| 1st row | <NA> |
|---|---|
| 2nd row | <NA> |
| 3rd row | <NA> |
| 4th row | <NA> |
| 5th row | <NA> |
Common Values
| Value | Count | Frequency (%) |
| <NA> | 20 | |
| 3 | 3 | 12.5% |
| 1 | 1 | 4.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| na | 20 | |
| 3 | 3 | 12.5% |
| 1 | 1 | 4.2% |
| 월별 | 확진자 | 사망자 | |
|---|---|---|---|
| 월별 | 1.000 | 1.000 | 1.000 |
| 확진자 | 1.000 | 1.000 | 1.000 |
| 사망자 | 1.000 | 1.000 | 1.000 |
| 확진자 | 사망자 | |
|---|---|---|
| 확진자 | 1.000 | 1.000 |
| 사망자 | 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.
| 월별 | 확진자 | 사망자 | |
|---|---|---|---|
| 0 | 2020-01 | <NA> | <NA> |
| 1 | 2020-02 | 7 | <NA> |
| 2 | 2020-03 | 2 | <NA> |
| 3 | 2020-04 | 1 | <NA> |
| 4 | 2020-05 | <NA> | <NA> |
| 5 | 2020-06 | 7 | <NA> |
| 6 | 2020-07 | 6 | <NA> |
| 7 | 2020-08 | 17 | <NA> |
| 8 | 2020-09 | 15 | <NA> |
| 9 | 2020-10 | 10 | <NA> |
| 월별 | 확진자 | 사망자 | |
|---|---|---|---|
| 14 | 2021-03 | 35 | <NA> |
| 15 | 2021-04 | 90 | <NA> |
| 16 | 2021-05 | 173 | <NA> |
| 17 | 2021-06 | 54 | <NA> |
| 18 | 2021-07 | 147 | <NA> |
| 19 | 2021-08 | 322 | <NA> |
| 20 | 2021-09 | 481 | 1 |
| 21 | 2021-10 | 213 | <NA> |
| 22 | 2021-11 | 266 | 3 |
| 23 | 2021-12 | 771 | 3 |