dhopp1 / covid-19-status-reports Goto Github PK

CSSE has this data, add to julia processed data output. Add to overview table as new columns.

• csse
• rki
• groups
• log doubling (just do no lines for active/recovered)
• acceleration
• forecast

If possible, otherwise becomes invisible when scrolling right to deaths.

Currently 8 seconds, make 20 for slow loading phones.

Explain what working on / upcoming things. Maybe link to this site.

DROPPED - not worth it
Currently code is all in main.py, very unwieldy, much hard coded. Set up proper structure, split out files, to increase maintainability and extendability.

• move plot colors to aesthetics.py
• data sources
• tables
• plot definitions
• dropdown update functions
• dropdowns
• plotting itself
• layout / tabs
• text

Make metric a dropdown (e.g. cases, deaths, active cases, etc.), then just show three plots per tab of #, new #, acceleration. Change titles of plots according to metric.

Test

Add 3rd dropdown to compare three countries. Maybe don't want to do this, look into it.

Code is now all stored in one file, should be split out by function/section, variables properly named to increase maintainability and extendability.

Reduce vertical space by switching to Feb instead of February

Add a dropdown for showing numbers per 100k people

• add data to population.csv
• add dropdown filter/bokeh logic

Since 03.04 been showing really low numbers for german Bundesländer. Fix.

Add additional ones, add to forecast data csv as additional column (forecast type?). Make a dropdown.

Currently explanations just show "[1]" etc., make into "Forecasts [4]" etc., the tab where it came from, to make clearer what it's referring to.

now showing new cases, should be new net cases

Rework design, CSS, etc. to make the site more visually appealing.

• change date range
• change both countries
• change x axis type + dates
• change metric + x axis, check all tabs
• change days moving average
• check hover text
• check copy
• data sanity check with original CSSE files
• data sanity check with RKI data
• data sanity check overview table

Add proper release numbers for easier deployment procedure.

Add map showing darkness = metric. Make responsive to time so can drag slider and see how spreads.

Hello,
Your dataset was added to CoronaWhy (https://www.coronawhy.org/) Data Lake on Dataverse as a piece of common COVID-19 data frame https://datasets.coronawhy.org/dataset.xhtml?persistentId=doi:10.5072/FK2/NAM9A9
Would you be willing to help with the maintenance of your dataset in Dataverse, e.g. adding the relevant metadata and keeping the dataset up-to-date? That will help to make the dataset findable and accessible for the medical science community.

already fixed for initial, have to think about how to use with metric changing, xaxis changing, etc.

CSSE seems to have the data as well more timely, would reduce dependencies.

Add explanation of limitations of data due to testing regimens, link to a more extensive article on the matter.