covid-19 data analysis
Very basic data analysis and visualization on the spread of the COVID-19 virus in Italy based on the dataset published by the Italian National Service, includes single region analysis.
An internet connection is needed to download the official data from https://github.com/pcm-dpc/COVID-19
Cita come
Andrea Augello (2025). covid-19 data analysis (https://github.com/Andrea-Augello/covid-19_data_analysis-), GitHub. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- Sciences > Biological and Health Sciences >
 - AI and Statistics > Curve Fitting Toolbox > Linear and Nonlinear Regression >
 - Sciences > Biological and Health Sciences > Epidemiology >
 
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Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.3.7 | Added an option for a moving mean data preprocessing  | 
          
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| 1.3.2 | Beautified date output  | 
          
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| 1.3.1 | The dataset used to download the data changed the date format, which breaks older code. This update adjusted for that, I will soon fix the ugly output.  | 
          
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| 1.3.0 | Refactored some code for extra efficiency
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| 1.2.8 | Updated markdown preview  | 
          
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| 1.2.7 | More data visualization regarding derivatives and confidence intervals  | 
          
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| 1.2.3 | Better behavior with the Windows filesystem  | 
          
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| 1.2.1 | Improved data visualization  | 
          
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| 1.1.1 | Slightly better initial parameter extimation, doesn't break with older data.  | 
          
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| 1.1.0 | Slightly improved mathematical model to achieve more responsiveness  | 
          
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| 1.0.3 | More sensible naming  | 
          
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| 1.0.2 | Added image  | 
          
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| 1.0.1 | More analysis on the derivative of the increase  | 
          
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| 1.0.0 | 
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