Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 27 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 807.0 B |
| Average record size in memory | 29.9 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 2 |
Dataset
| Description | 전라북도 고창군 코로나19 확진자 및 사망자 현황 입니다. 데이터는 사망자수, 확진자수 등으로 구성되어 있습니다. |
|---|---|
| Author | 전라북도 고창군 |
| URL | https://www.data.go.kr/data/15099547/fileData.do |
Reproduction
| Analysis started | 2023-12-12 09:45:52.249659 |
|---|---|
| Analysis finished | 2023-12-12 09:45:52.491698 |
| Duration | 0.24 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
구분
Date
UNIQUE
| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 348.0 B |
| Minimum | 2020-01-31 00:00:00 |
|---|---|
| Maximum | 2022-03-31 00:00:00 |
Histogram with fixed size bins (bins=27)
확진자
Categorical
HIGH CORRELATION
| Distinct | 13 |
|---|---|
| Distinct (%) | 48.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 348.0 B |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 6 | |
| 3 | |
| Other values (8) |
Length
| Max length | 5 |
|---|---|
| Median length | 1 |
| Mean length | 1.5925926 |
| Min length | 1 |
Unique
| Unique | 8 ? |
|---|---|
| Unique (%) | 29.6% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 8 | |
| 1 | 4 | |
| 2 | 3 | 11.1% |
| 6 | 2 | 7.4% |
| 3 | 2 | 7.4% |
| 11 | 1 | 3.7% |
| 15 | 1 | 3.7% |
| 9 | 1 | 3.7% |
| 121 | 1 | 3.7% |
| 114 | 1 | 3.7% |
| Other values (3) | 3 | 11.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 8 | |
| 1 | 4 | |
| 2 | 3 | 11.1% |
| 6 | 2 | 7.4% |
| 3 | 2 | 7.4% |
| 11 | 1 | 3.7% |
| 15 | 1 | 3.7% |
| 9 | 1 | 3.7% |
| 121 | 1 | 3.7% |
| 114 | 1 | 3.7% |
| Other values (3) | 3 | 11.1% |
사망자
Categorical
HIGH CORRELATION
| Distinct | 5 |
|---|---|
| Distinct (%) | 18.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 348.0 B |
| 0 | |
|---|---|
| 1 | |
| 3 | 2 |
| 2 | 1 |
| 9 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 7.4% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1 | 3 | 11.1% |
| 3 | 2 | 7.4% |
| 2 | 1 | 3.7% |
| 9 | 1 | 3.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1 | 3 | 11.1% |
| 3 | 2 | 7.4% |
| 2 | 1 | 3.7% |
| 9 | 1 | 3.7% |
| 구분 | 확진자 | 사망자 | |
|---|---|---|---|
| 구분 | 1.000 | 1.000 | 1.000 |
| 확진자 | 1.000 | 1.000 | 0.868 |
| 사망자 | 1.000 | 0.868 | 1.000 |
| 확진자 | 사망자 | |
|---|---|---|
| 확진자 | 1.000 | 0.555 |
| 사망자 | 0.555 | 1.000 |
| 확진자 | 사망자 | |
|---|---|---|
| 확진자 | 1.000 | 0.555 |
| 사망자 | 0.555 | 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.
| 구분 | 확진자 | 사망자 | |
|---|---|---|---|
| 0 | 2020-01-31 | 0 | 0 |
| 1 | 2020-02-29 | 0 | 0 |
| 2 | 2020-03-31 | 0 | 0 |
| 3 | 2020-04-30 | 0 | 0 |
| 4 | 2020-05-31 | 0 | 0 |
| 5 | 2020-06-30 | 0 | 0 |
| 6 | 2020-07-31 | 1 | 0 |
| 7 | 2020-08-31 | 1 | 0 |
| 8 | 2020-09-30 | 0 | 0 |
| 9 | 2020-10-31 | 2 | 0 |
| 구분 | 확진자 | 사망자 | |
|---|---|---|---|
| 17 | 2021-06-30 | 3 | 0 |
| 18 | 2021-07-31 | 2 | 0 |
| 19 | 2021-08-31 | 15 | 0 |
| 20 | 2021-09-30 | 9 | 0 |
| 21 | 2021-10-31 | 6 | 0 |
| 22 | 2021-11-30 | 121 | 1 |
| 23 | 2021-12-31 | 114 | 9 |
| 24 | 2022-01-31 | 101 | 1 |
| 25 | 2022-02-28 | 1,303 | 3 |
| 26 | 2022-03-31 | 4,897 | 3 |