Hi,
first I want to highlight that this dasboard is one of the best available in my point of view. Thanks for that!
But could you think about providing the dashboard as a standalone link instead of embedding it into this article?
Having frames in frames in frames in frames drives me nuts.
Very nice and informative, but please allow all plots to use log scale since it is difficult to see low range, and log scale shows exponential growth much better.
Thank you so much for your hard work updating this site. It is the only tracker I use now.
Is there any way you could link a .csv file of your data? Or can you share the place where you are getting your raw data? I am doing my own tracking and predictions based on the numbers and would love to have the raw data to manipulate.
Thanks again!
Hi Dan, the data is from JHU I wrote scripts to pull it 24/7. The data is hosted on Google BigQuery. I am planning to share the dataset, but the tables are pretty messy right now. I’ll clean it up and share in the future.
Nice improvements – this is now one of the best dashboards out there.
One suggestion – on bar charts, show the current day as a hollow or faded rectangle, so as not to give the early impression of a downturn.
Just want to say thanks for this… I have been coming to this on a daily basis for reference. Sorry you have a day job other than making great content like this!
Subscribe to my newsletter. I’ll write a tutorial. In short, I have corn job running 24/7 to get scrape the data from JHU, clean it, and load it into BigQuery via BQ command.
This is great, thank you so much! If you are looking for ideas I would love to see a map that is colored by “confirmed per 100k” rather than raw number of confirmed. Also a way to change the time period in the plots, so for example, I can see what Italy or South Korea looked like earlier in the outbreak.
Probably the plot mainland China vs non China has no more much reason to be now, you could consider substituting it with a plot of the % increase (the actual log coefficient) or a log-log plot of the total cases (the power-law coefficient) that could give a further point of view on the dynamic. thank you!
29 comments
Kansas has had 6 or 7 confirmed cases and at least one death, but it isn’t listed under the states at all.
You should add logarithmic charts, gives you a better overview of the growth.
Hi Goh!
Love the dashboard. Have a feature request if you’re going to keep working on it.
Can you add the ability to filter by date? For instance I’d love to be able to explore just yesterday’s data.
Australia is up to 5 deaths and more cases now. Maybe whatever you’re pulling your data from for this country is inaccurate
Hi!
nice site!It would be cool implemented the logarithmic scale for “Total Cases” and “Daily New Cases”
mik
Can you please cite the sources for your data?
Hi,
first I want to highlight that this dasboard is one of the best available in my point of view. Thanks for that!
But could you think about providing the dashboard as a standalone link instead of embedding it into this article?
Having frames in frames in frames in frames drives me nuts.
Very nice and informative, but please allow all plots to use log scale since it is difficult to see low range, and log scale shows exponential growth much better.
Hello it would be nice if we could plot different countries progressions over time in the same graph for comparison.
Thanks!
Thank you so much for your hard work updating this site. It is the only tracker I use now.
Is there any way you could link a .csv file of your data? Or can you share the place where you are getting your raw data? I am doing my own tracking and predictions based on the numbers and would love to have the raw data to manipulate.
Thanks again!
Hi Dan, the data is from JHU I wrote scripts to pull it 24/7. The data is hosted on Google BigQuery. I am planning to share the dataset, but the tables are pretty messy right now. I’ll clean it up and share in the future.
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could you add the number of tests performed in the lower table if this data is available? thank you!
Hi Roberto, it really depends on my data source JHU, if they are providing such data, I will surely integrate it into the dashboard. Thank you!
Nice improvements – this is now one of the best dashboards out there.
One suggestion – on bar charts, show the current day as a hollow or faded rectangle, so as not to give the early impression of a downturn.
Thanks Charles! Great idea! However, that is a limitation of Data Studio (the tool that I am using) Stay safe!
much love brother keep up the good work if you need any help let me know.
Thanks a lot Tom! Appreciate your support and kind words!
Just want to say thanks for this… I have been coming to this on a daily basis for reference. Sorry you have a day job other than making great content like this!
Thanks Spencer! Really appreciate your kind words. I’ve fixed the data source, stay safe!
Hi,
Can you please share how you hosted the data on bigquery. How do you refresh it daily.
Thanks,
Subscribe to my newsletter. I’ll write a tutorial. In short, I have corn job running 24/7 to get scrape the data from JHU, clean it, and load it into BigQuery via BQ command.
Thank you guy, you do a great job here !
Pascal
Thanks a lot for your support! I’ve fixed the data source.
Just noticed, you left out Canada today … Congrats on a very informative site
This is great, thank you so much! If you are looking for ideas I would love to see a map that is colored by “confirmed per 100k” rather than raw number of confirmed. Also a way to change the time period in the plots, so for example, I can see what Italy or South Korea looked like earlier in the outbreak.
Awesome work on creating & maintaining this dashboard Goh! It’s the one I hit up when I want to see the latest with what’s going on 👌🏽
– Suth
Very good info. Lucky me I found your website by accident (stumbleupon).
I have book marked it for later!
Probably the plot mainland China vs non China has no more much reason to be now, you could consider substituting it with a plot of the % increase (the actual log coefficient) or a log-log plot of the total cases (the power-law coefficient) that could give a further point of view on the dynamic. thank you!