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23 lines
2.0 KiB
23 lines
2.0 KiB
3 years ago
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# Assignment for Data Processing in Python
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In this assignment, we will ask you to elaborate on the code we have started developing in our challenges. The assignment consists of two parts:
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## COVID-19 Spread Modelling
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- [ ] Plot $R_t$ graphs for 5-6 different countries on one plot for comparison, or using several plots side-by-side
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- [ ] See how the number of deaths and recoveries correlate with number of infected cases.
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- [ ] Find out how long a typical disease lasts by visually correlating infection rate and deaths rate and looking for some anomalies. You may need to look at different countries to find that out.
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- [ ] Calculate the fatality rate and how it changes over time. *You may want to take into account the length of the disease in days to shift one time series before doing calculations*
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## COVID-19 Papers Analysis
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- [ ] Build co-occurrence matrix of different medications, and see which medications often occur together (i.e. mentioned in one abstract). You can modify the code for building co-occurrence matrix for medications and diagnoses.
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- [ ] Visualize this matrix using heatmap.
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- [ ] As a stretch goal, visualize the co-occurrence of medications using [chord diagram](https://en.wikipedia.org/wiki/Chord_diagram). [This library](https://pypi.org/project/chord/) may help you draw a chord diagram.
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- [ ] As another stretch goal, extract dosages of different medications (such as **400mg** in *take 400mg of chloroquine daily*) using regular expressions, and build dataframe that shows different dosages for different medications. **Note**: consider numeric values that are in close textual vicinity of the medicine name.
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## Rubric
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Exemplary | Adequate | Needs Improvement
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--- | --- | -- |
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All tasks are complete, graphically illustrated and explained, including at least one of two stretch goals | More than 5 tasks are complete, no stretch goals are attempted, or the results are not clear | Less than 5 (but more than 3) tasks are complete, visualizations do not help to demonstrate the point
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