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 International Growth Rates of COVID-19 Cases Are Declining
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 Hopeful Trends in COVID-19 Growth Rates
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 Pro-Bono & Low Cost Data Wrangling For the COVID Front Line
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 PyDataLA Presentation
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.
After 8 months of hard work form many volunteers and staff, we’re releasing the first version of the Downtown Homelessness Dataset. This dataset has about 41,900 observations of homeless sleepers on 287 blocks in Downtown San Diego, over 62 months.
The dataset is part of our Homelessness Collection. If you’d like to learn how to work on this dataset and the others in the collection, join us for a working session at the next meetup for Data Science for Non Profits, Wednesday 9 October.
The San Diego Data Library is building a detailed data set about Downtown homelessness using 5 years of hand-marked paper maps. The conversion process is human-powered, and we need you help to finish the conversion. When we are finished, we will have a very valuable data for doing detailed analysis of the relationship between unsheltered … Read more Homelessness Data Conversion