Last Monday I was interviewed by Kevin Farkas of Appalachian Beaver County. The interview was about storytelling with statistics. He is compiling an oral history of Beaver County. He saw my post on the poorest school districts in the Alleghenies and wanted some pointers. The video above shows the first half of the interview. The secondContinue reading “Interview on Storytelling with Statistics”
Tag Archives: Big Data
Update on Johnstown Zip Code Testing
Last week I reported that my most viewed post on COVID-19 was on zip code testing in Johnstown zip codes compared to the county, state and the U.S. I reported that the testing rates for the zip code for downtown Johnstown (15901) was nearly identical to the U.S. rates while the rates for the other zipContinue reading “Update on Johnstown Zip Code Testing”
Extreme Outliers in Pennsylvania: Beaver and Montour Counties
COVIDcast map for Beaver County Today Governor Wolf has announced that 24 counties in will have restrictions limited on May 8. The state uses the COVID-cast analytics tool from Carnegie Mellon University to predict future cases in each county, according to state health secretary Rachel Levine. Their tool uses doctor visit data and data fromContinue reading “Extreme Outliers in Pennsylvania: Beaver and Montour Counties”
The Number of Corona Virus Cases in Cambria County has Grown Exponentially While Health Behaviors Predict Cases in PA
The number of corona virus cases has grown exponentially in Cambria County. I have been keeping track of the number of cases in a google sheet as can be seen above. The cumulative case line has been following a cubic trend with the polynomial, y = 0.0347×2 – 3051.6x + 7E+07. This equation accounts forContinue reading “The Number of Corona Virus Cases in Cambria County has Grown Exponentially While Health Behaviors Predict Cases in PA”
Corona Numbers from the WHO and JHU
Week 2 of the state of emergency is upon us. Last week I posted numbers from the World Heath Organization’s (WHO) Corona Virus dashboard showing the progression in the number of cases worldwide. Above is the cumulative frequency graph and overall numbers from their dashboard last week. At the left is the WHO’s world wideContinue reading “Corona Numbers from the WHO and JHU”
9th Anniversary Post: Evaluating the Domain Name
The 9th anniversary of CSI without Dead Bodies is upon us/me. It has been a hectic year where I purchased a domain name for this blog. The number of users per month for the last year when the domain name was bought are summarized in the blue line in the graph below. The number ofContinue reading “9th Anniversary Post: Evaluating the Domain Name”
Comparing Google Analytics to Statcounter
Since 2011 I used web traffic analytics websites to track the traffic on this site. Blogger has a built in traffic monitor that doesn’t filter out bots that inflate the web traffic estimates. I also use Google Analytics and Statcounter. Google Adsense also measures web traffic to determine ad revenue. I thought I would takeContinue reading “Comparing Google Analytics to Statcounter”
An Update on Data Journalism and Darply
I’ve been forced to move back to Pennsylvania so it has been harder to find the time to post to this blog. The eighth anniversary of this blog is coming up and I will be preparing the anniversary post. I have found time to write an article on the new data journalism site Darply on hateContinue reading “An Update on Data Journalism and Darply”
Cambridge Analytica was Behind the Results I Found on Facebook and the 2016 Election
The Cambridge Analytica (CA) story may have fallen on the back burner because of the March for Our Lives (rightly) and Stormy Daniels (wrongly). Mother Jones magazine published a detailed chronology of how it became involved in the 2016 election. First they were partnered with Ted Cruz’s campaign. They claimed credit for hisContinue reading “Cambridge Analytica was Behind the Results I Found on Facebook and the 2016 Election”
How is Washington DC an outlier? Let’s count the ways. (Repost from Data Driven Journalism)
My latest post on Data Driven Journalism is up an reprinted here. In my last post, I reported that Washington, DC had an extremely high rate of 30.83 hate groups per million residents in 2016 relative to the other 50 states (the national rate was 2.84 groups per million). DC also had an exceptionallyContinue reading “How is Washington DC an outlier? Let’s count the ways. (Repost from Data Driven Journalism)”