I use Johns Hopkins data for …

[rahmatiangit]

A place for data consumers to let Johns Hopkins CSSE (and each other) know how the data is being used, for example here is my info

Public/Private: Public
Link if Public: https://public.flourish.studio/story/264200/
Short Description: Page through slides of US county hotspots, states, and more info

[ash]

Public/Private: Public
Link if Public: https://covid.observer/
Short Description: Covid statistics with graphs divided by countries, continents, and regions
GitHub: http://github.com/ash/covid.observer

[agentphantom]

Public/Private: Public
Link if Public: https://github.com/PhantomInsights/covid-19
Short Description: Scripts for merging the time series data into one csv file and EDA on that dataset.

[jscloutier]

Public/Private: Public
Link if Public: https://sites.google.com/view/covid19tracker/home
Short Description: Evolving visualizations and metrics to begin understanding risk profile for US Counties.

[rks125]

I combine John Hopkins data with many other data sets (population, land area, urban density, ICU beds, helpful calculations like "days since X number of cases/deaths", "days since quarantine date", workers, workers that take public transit, etc. And I share this huge flat CSV file (daily updates): https://www.soothsawyer.com/covid19-ultimate-data-set-by-ryan-smith/

I also am trying to analyze the data to more accurately predict the impacts of changes by country, state, counties by looking at underlying data trends (compounding daily growth rates, slopes of the growth rates, using the slope to predict number of days to flat growth, zero cases (solving for exponent values which involve logarithmic calculations (fun stuff), etc. I also look at 3-day and 7-day average trends. I hope to publish my findings shortly. Very interesting.

You can cheat and look at my mess of a public Tableau account (but you can play with the data and look at any country/state/county:
https://public.tableau.com/profile/ryan4590#!/vizhome/Covid-19Ryan/growthratesbydate-statelevelv3a?publish=yes

[GerryG07]

Public/Private: Public
Link if Public: http://tinyurl.com/covid19trends
Short Description: Data visualization of country trend assessments using 5day and 14day moving averages (10 green is best score). Interactive and can select each country. Time lapse of country assessment also available in page 2.

[m-kovalsky]

Public/Private: Public
Link if Public: https://www.elegantbi.com/post/covid-19-report
Short Description: Showing the data trends using Microsoft's Power BI

[jcavfen9]

Public/Private: Public
Link if Public: https://public.tableau.com/views/Coronavirus2019-nCoVstats/Coronavirus2019-nCoV?:display_count=y&publish=yes&:origin=viz_share_link
Short Description: Trends, maps, details per country/regions

[stutoo]

Public/Private: Public
Link if Public: http://moveanalytics.com/2020/04/05/covid-19-per-capita-dashboard-for-states-and-provinces/
Short Description: Charts and animations in Power BI with focus on metrics on a per 100,000 basis at the Canada/US province/state level.

[bms44974]

I use R to read the US time-series data and generate simple plots of (confirmed cases [cumulative & daily], deaths [cumulative & daily]) versus date for the US and by state (+DC). Daily cases and deaths are also plotted raw and normalized per 10K population. Trends in daily data are displayed with a LOESS trends line. I also tabulate a ranking of states based on the most recent day's cases (normalized per 10K population). These go to family across the country every morning with a brief description of the errata posted for the prior day and comments on the emerging trends.
Thanks so much for the hard work of collating these data and managing the files. Almost every graphic I see in the media and on official government web sites credit JH CSSE as the source for their data.

[KatharinaKanns]

Public/Private: Private
Short Description: I work on two visual dashboards. One for a medical company, the other one for a global peace organization. Data is enriched with e.g. population, area, … in order to on the one hand have valuable comparison between the countries, on the other hand trends and effects about "flattening the curve" as a result of measurements is visualized.

[ruuttt]

Public/Private: Public
Link if Public: https://deathscoronavirus.com/
Short Description: Cumulative COVID-19 deaths per million capita over time of over 200 countries/states/regions are plotted in a single chart in a smart way.

[thepost]

Public/Private: Public
Link if Public: https://docs.google.com/spreadsheets/d/1w7KqWPsNcpLcCKOkvBNG8a2nwCN5QO3yDyCdcvW38cc/edit?usp=sharing
Short Description: A Google spreadsheet showing the day to day increases in confirmed cases, deaths, and recoveries, for each country.

[jjbenes]

Public/Private: Public
Links if Public:

• https://first-principles.ai/covid-19/jhu_csse-per-capita-map.html

• https://first-principles.ai/covid-19/CA_GA.html

• Open source: https://github.com/jjbenes/covid19

Short Description: API for COVID-19 data from JHU and USAFact.org. The link above is an example application that ranks and animates daily per-capita confirmed cases for U.S. counties.

[NightDragon1]

Public/Private: Private, Public access available for small amount of users
Link if Public: Due computing limitation, share after request
Short Description: Grafana Representation of the Data, Focus Austria and Countries of special interest.

[iborko]

Public/Private: Public
Link: https://covid19hr.velebit.ai/
Short Description: Visualizations of Covid data for Croatia (country code: HR). We manually crawl data for Croatia, but we use this repo to get the data for neighboring countries and major EU countries.
Visualization software used: Grafana

[briancpark]

Public/Private: Public
Link if Public: https://github.com/briancpark/COVID-19-Visualizations
Short Description: Using data science visualization packages with Python, such as Matplotlib, Pandas, and GeoPandas.

[bhaden94]

Public/Private: Public
Link if Public: https://covid19-min-tracker.herokuapp.com/home
Short Description: Web App made with Spring boot, jQuery datatables, and CanvasJScharts to create a minimal view of the numbers.

[chdh]

Public/Private: Public
Link if Public: https://www.coronacalc.org
Short Description: Statistics graphs per country/region and trend computation.
GitHub: https://github.com/chdh/corona-calc

[winwiz1]

Public/Private: Public
Link if Public: https://covid.winwiz1.com
Short Description: Google made COVID-19 data available as a BigQuery public dataset. You can query the dataset using SQL and BigQuery Console or by using COVID-19 Query Tool (the link above) without SQL.