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+# Covid data visualization and analysis for Slovenia
+
+This was my personal project for visualizing and analyzing COVID-19 data for Slovenia during the first wave of the pandemic in spring 2020. I started it on 13. march (beginning of the first lockdown), and kept updating and improving it until april, when [Sledilnik](https://covid-19.sledilnik.org/sl/stats ) became good enough to replace most of it.
+
+Raw data (number of cases and tests) was gathered from various sources, then combined, cleaned and analysed in Python. The visualizations were done in Python inside Jupyter Notebook using `pandas`, `matplotlib` and `seaborn`. Predictions were calculated using [SIR-X model](http://rocs.hu-berlin.de/corona/docs/forecast/model/). At first I was exporting the results as a pdf of the entire notebook, but later switched to exporting just the images.
+
+Below you can see example visualizations for 1. april. Final analysis for the last day changes were made (4. april 2020) is in the [Korona.ipynb](Korona.ipynb) notebook, and the corresponding images are in the [images](images) folder. Check out the [archive](archive) folder for earlier data. *Note that everything is in Slovenian*.
+
+
+### Sources of the data (some may not work anymore):
+
+1. NIJZ: *[Spremljanje koronavirusa SARS-CoV-2 (COVID-19)](https://www.nijz.si/sl/pojav-novega-koronavirusa-2019-ncov)*
+2. NIJZ: *[Dnevno spremljanje okužb s SARS-CoV-2 (COVID-19) [graph]](https://www.nijz.si/sl/dnevno-spremljanje-okuzb-s-sars-cov-2-covid-19)*
+3. Data published by the government on *[gov.si](https://www.gov.si/teme/koronavirus/)* and *[twitter](https://twitter.com/vladaRS)*.
+4. Luka Renko and others: *[COVID-19 Slovenija](https://slo-covid-19.rtfm.si/#/about)*
+
+## Graphs for 4. april
+
+### Cases
+
+Cumulative & daily new cases (linear and log scale), growth analysis (new cases as percentage of all, doubling time)
+
+![](archive/v7.2-1_4/oku.png)
+
+### Tests
+
+Cumulative & daily new (linear and log scale), daily and overall positive percentage
+
+![](archive/v7.2-1_4/testi.png)
+
+### Hospitalized
+
+Hospitilized patients, ICU patiens and cumulative deaths, both absolute and as a percentage of cumulative infections
+
+![](archive/v7.2-1_4/hospit.png)
+
+### Cases by age
+
+Cumulative and daily new cases by age group (total and per 100k population), both absolute and relative
+
+![](archive/v7.2-1_4/starosti.png)
+
+### Cases by region
+
+Cumulative and daily new cases by region (total and per 100k population), both absolute and relative
+
+![](archive/v7.2-1_4/regije.png)
+
+### Predictions (4. april)
+
+Predictions for the next week using [SIR-X model](http://rocs.hu-berlin.de/corona/docs/forecast/model/)
+
+![](archive/v7.3-4_4/napoved.png)
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