COVID-19 Data Reorganization using Github Actions.
This GitHub Action will re-generate the CSV file and provide a visual graph that is suitable for the Corona Live website and COVID-19 discord bot.
You can use the data files without any limitation, but Python scripts are protected under the MIT license.
Read this in other languages: English, 한국어.
Reorganize COVID-19 Dataset from JHU CSSE and generate the visual graph.
Generate COVID-19 spread map file in form of HTML.
This map displays the total confirmed, deaths, recovered, and active cases of COVID-19 by using different sizes of circles with different colors. The circles will appear in each state in the United States individually and in each country in the world.
Folders that includes all the data files from April 8th, 2020. The files under each folder might be different based on the modification of the script file.
Under the Img folder, the following graphs will be included.
| Type | Description |
|---|---|
| Global Linear | The linear graph of COVID-19 that includes the number of Confirmed, Recovered, and Death. |
| Global Log | The logarithmic graph of COVID-19 that includes the number of Confirmed, Recovered, and Death. |
| Prediction | The prediction graph of COVID-19 Total Confirmed case based on the time interval. Those predictions are not accurate due to the uncertainty of the situation. |
| Top10 | The bar graphs of ten countries with most Total Confirmed cases. |
All of the images are named under the following rules:
- Starts with the lower case of the type mentioned above. Replace the blank space with underbar "_".
- Each of the images has a transparent version and background version. The transparent version of the image will end with "_t" and the background version will end with "_bg" tag.
- All files are png.
A folder that includes all original files at that point.
| File Name | Description |
|---|---|
| combined.csv | Dataset that includes all number of Confirmed, Recovered, and Deaths cases on that day. |
| confirmed.csv | Dataset that includes a number of Confirmed cases since January 22nd, 2020. |
| deaths.csv | Dataset that includes a number of Deaths cases since January 22nd, 2020. |
| recovered.csv | Dataset that includes a number of Recovered cases since January 22nd, 2020. |
A JSON file that includes the following.
| Name | Variable Type | Description |
|---|---|---|
| date | String | Current Date. |
| last_updated | String | Last updated date. |
| total_confirmed | Integer | Worldwide total confirmed case number. |
| total_deaths | Integer | Worldwide total deaths case number. |
| total_recovered | Integer | Worldwide total recovered case number. |
| total_active | Integer | Worldwide total active case number. |
| mortality_rate | Double | Worldwide mortality rate. |
| recovery_rate | Double | Worldwide recovery rate. |
HTML map which displays the total confirmed, deaths, recovered, and active cases of COVID-19 by using different sizes of circles with different colors. The circles will appear in each state in the United States individually and in each country in the world.
| Name | Variable Type | Description |
|---|---|---|
| last_updated | String | Last updated date |
| total_confirmed_prediction | Integer | Total predicted number of confirmed cases. |
| total_confirmed_difference | Integer | A difference between today's confirmed cases and predicted confirmed cases. |
| tomorrow | String | Date of tomorrow. |
| tomorrow_confirmed_prediction | Integer | Predicted number of confirmed cases of tomorrow. |
| tomorrow_confirmed_difference | Integer | A difference between today's confirmed cases and tomorrow's predicted confirmed cases. |
| total_days | Integer | Predicted total days of the pandemic. |
| days_remained | Integer | Number of days left until the predicted end of the pandemic. |
All of the data files are based on the Data Repository by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
You can find the data repository here.
MIT License. Feel free to use this Python script and Data.