The pandemic has changed our mobility patterns. In this blog, we work with time series data collected by Google and we have drilled down to Toronto, Ontario (home of the CN Tower and also Penny Analytics). The original data is Read more…
When we moved into our house, it came with the appliances from the previous owner, including the washing machine. The washing machine was similar to the one I had grown up with, and was probably about the same age. It Read more…
More than twenty years ago, I lived in a university town in Canada and taught math and engineering courses. In each of these, there was always a concern about students cheating on assessments and exams. In practice, the tools we Read more…
In this blogpost, we apply outlier detection to 80 years of daily Canadian weather data. We keep reading that our climate is changing – temperatures are increasing and that extreme weather events are happening more often. We were interested in Read more…
Fraud is a problem that is simply not going away. In this post, we apply outlier detection to finding fraudulent credit card transactions, using a well known dataset from Kaggle. We called this post “fraud detection without tears”, after a Read more…
In this post, we visualize the outlier detection results from Penny Analytics using two multivariate datasets. (If instead you are interested in visualizing time series outlier results, please see our earlier blogpost.) Outliers in the Fisher Iris dataset Let’s start Read more…
Higher education is expensive and outcomes (graduation, employment) are not always certain. This has become increasingly true in Canada and the UK, and perhaps was always true in the US. At Penny Analytics, we have worked at the universities of Read more…
In this post, we apply outlier detection to checking expenses claims. Expenses claims in companies often need a second look. According to the Economist, employees’ expense claims are becoming more unusual. There are also different personality types when it comes Read more…
In this post, we take a deeper dive into one of our free trial datasets, NYC taxi. The original data is from the NYC taxi commission who publish their data here: NYC taxi commission data The dataset is really simple, Read more…
In this post we use a public dataset called FiSC (Fiscally Standardized Cities). This dataset is available from the Lincoln Institute of Land Policy here: Lincoln Institute FiSC According to their website: “The FiSC database makes it possible to compare Read more…
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