Visualizing COVID-19 data with Jupyter

[ghost]

Hi @CSSEGISandData @enshengdong @hongru94 !

Wanted to drop by and say thanks for all the work that is going into this.

This message is to notify I have created a Jupyter notebook that pulls your repo and parses how each country and cities are doing COVID-19-wise wrt number of cases which are confirmed, removed or resulted in death. The hope is for this notebook to be one in a series of educational materials available as part of the Callysto project.

Repo with notebook here.

Let me know if you have questions, comments or suggestions.

Cheers,

Laura

[DMiradakis]

@lgfunderburk I just took a look at your Jupyter notebook. Very nice!

[ghost]

Thanks @DMiradakis!

[Pradeep39]

Likewise Thank you for curating the datasets, I'm leveraging the timeseries datasets.

I created a notebook with animated visualizations and also published a Linkedin blog about it.

Github Link: https://github.com/Pradeep39/covid19-analytics/

Blog link: https://www.linkedin.com/pulse/visualizeanalyze-progression-covid-19-pradeep-reddy/?trackingId=cuIJQv2tSi%2BpnFxBaLd6mA%3D%3D

[JiPiBi]

@lgfunderburk

Great work ! and interesting for a fan of JupyterNotebook and python as me

Suggestions :

• Possibility to select several countries to compare their curves
• Possibilty to select a country by entering some letters , because scrolling in a non sorted list is difficult (more simple : sort the lists)

Remark :

• Have you the possibility in your code to fix bad values (JHU is not 100% reliable)

[ghost]

@JiPiBi Thanks for suggestions - these are great insights.

I also noticed the difficulty associated with scrolling in non-sorted lists. I think the box to enter a few letters and select country is the best of the two options. Can tweak code a bit. I like your idea to select several countries. Can implement that too.

The remark is interesting. Code can be modified to do that - could implement qqgrid and customize it for editing if it is a few cells, or create an automated script if it is several. Changes can later be saved into .csv and revised via PR. That is probably a more helpful approach for the JHU developers than asking to fix things that are wrong.

[ghost]

Added Combobox to find Region/Country and State/Province by entering the first few letters - the rest is autocompleted. https://github.com/lgfunderburk/COVID-19-MV/blob/master/COVID-19-Vis/DataVisCOVID-19.ipynb

[ghost]

Working on multiple region comparison, and data editing feature.

[JiPiBi]

Hi After some pip install :-) I was able to see your masterwork

Improvment is seeable . Great ! The zooming on a continent is amazing

First question , in the first big pie chart, you have 2 values :

• sometimes the same value twice
• sometimes 0 + a value what do they represent ?

First suggestion : the same piechart with deaths

After that I checked different countries , and what is not obvious is to know what provinces are available (France with its overseas territories , Germany with Bavaria , and of course USA) I think in that case that you need a dropdown list an perhaps a choice : all to make an agregation With United States for example : how to I get the agregation

Congratulations

[ghost]

Implemented API by Omar Laraqui since the old format stopped being supported https://github.com/Omaroid Latest repo https://github.com/lgfunderburk/COVID-19-MV

There are two notebooks now:

1. The sunburst notebook
2. A notebook with logarithmic scale for each country

With the new format it might be easier to modify values for each region.

Next on my to do list....

[chandan3007]

Likewise Thank you for curating the datasets, I'm leveraging the timeseries datasets.

I created a notebook with animated visualizations and also published a Linkedin blog about it.

Github Link: https://github.com/Pradeep39/covid19-analytics/

Blog link: https://www.linkedin.com/pulse/visualizeanalyze-progression-covid-19-pradeep-reddy/?trackingId=cuIJQv2tSi%2BpnFxBaLd6mA%3D%3D

Hi how can I download data from https://docs.google.com/spreadsheets/d/e/2PACX-1vSz8Qs1gE_IYpzlkFkCXGcL_BqR8hZieWVi-rphN1gfrO3H4lDtVZs4kd0C3P8Y9lhsT1rhoB-Q_cP4/pubhtml