It looks like San Diego has hit its peak in new coronavirus cases, with a notable downturn in the rate of change of daily cases.
Similar to the previous post about case growth rates in US states, growth rate are declining in most countries. The global average for the decline in growth rates is about .9% per day. Extrapolating this decline would result in countries hitting zero new cases per day at about 40 days from when then hit 100 … Read more
Some US states, like California, have declining growth rates in COVID19 cases, others, like Massachusetts, are in trouble. This chart shows, per state and for the US, the trend in the growth rates of COVID19 cases. Each day, the number of cases is increasing, but by a smaller percentage each day. If today had 30% … Read more
We are scraping the San Diego County coronavirus cases page to generate a historical dataset. See the data repository for a link to the file.
Do you know Biotech companies, non profits, or other organizations who are working on the front lines of the pandemic who need professional help with managing, cleaning or publishing data? The San Diego Regional Data Library and Civic Knowledge are offering pro-bono and low-cost help with pandemic-related small data projects. Some examples of the work … Read more
Here is the video of my talk at the PyData Los Angeles 2019 conference, on the topic of “Tackling Homelessness with Open Data”. link to the presentation in multiple formats. Here is a link to the presentation in multiple formats.
I’m presenting tomorrow at the PyData Los Angeles 2019 conference, on the topic of “Tackling Homelessness with Open Data”. I hope you can join us there, but if not, here is a link to the presentation in multiple formats. If you are following along, you may be interested in our many blog posts on homelessness, … Read more
Here is a dataset with 4.3M violent crime incidents, from police departments across the country, including San Diego. It isn’t processed well enough to just load into data analysis tools, but it is more detailed than is available anywhere else.
Learn to map homelessness and compare to crime and pedestrian traffic, with Python and Pandas.