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A previous article discusses the geometry of weighted averages and shows how choosing different weights can lead to different rankings of the subjects. As an example, I showed how college programs might rank applicants by using a weighted average of factors such as test scores. "The best" applicant is determined
Fueled by a number of factors, including a global pandemic, data analytics skills are in high-demand. Organizations like the Youth Employment Services (YES) are well aware of the abundance of data and its growing complexity. That's why they partnered with SAS last year to provide free learning pathways to help
Many cities have Open Data pages. But once you download the data, what can you do with it? This is my second blog post where I download several datasets from Cary, NC's open data page, and and give you a few ideas to get you started on your own data
From this pandemic, every one of us has experienced some kind of loss or something that feels taken away. It could be a person, an activity, an event, an opportunity or even conceptual things like a sense of safety or normalcy. When I worked for hospice, it was routine to
What happens if you need to edit graph output files from SAS in a different application (for example, Microsoft Word)? It is not recommended that you edit your SAS graph output outside of SAS, but, if you must do so, you need to create your graphics output as EMF (Enhanced Metafile Format) graph output.
The rest of society hates bankers’ bonuses—and banks should too. The bonus cycle weakens the business by prioritising short-term profit over sustainable growth. Bankers’ bonuses are a regular target for media outrage, resentment, and calls for reform. Yet what most members of the public don’t realise is that the first
When our knowledge was contained in books, learning to read was vital to understanding the world. Today, new information is increasingly generated and communicated in numbers, charts and graphs. That’s why data literacy is emerging as an essential skill for everyone who wants to understand our data-rich world and make
Data science expert Andy Pulkstenis describes how to skip common machine learning mistakes.
In Part I of this blog post, I provided an overview of the approach my team and I took tackling the problem of classifying diverse, messy documents at scale. I shared the details of how we chose to preprocess the data and how we created features from documents of interest
In our last blog we explored the potential impact of missingness in data in terms of its impact on models which require complete case analysis. We took a simple view that data was missing with an equal, independent, probability for any given model input. This week we explore cases where
People love rankings. You've probably seen articles about the best places to live, the best colleges to attend, the best pizza to order, and so on. Each of these is an example of a ranking that is based on multiple characteristics. For example, a list of the best places to
What kind of movement do you hunger for? Yes, I said hunger for…what kind of movement would bring you joy? Maybe it’s a quick “snack” of restorative yoga postures, a set of barbell squats for “dessert”, or just a “side” of dancing for 5 minutes in the living room. Perhaps
During the pandemic, millions of people have made the leap to digital banking. Identity analytics can help banks provide a delightful customer experience while keeping fraudsters out in the cold. Fraud is often seen as a cost centre for banks, but there’s an opportunity for fraud teams to become a
Many cities have Open Data pages. But once you download this data, what can you do with it? I'm going to download several datasets from Cary, NC's open data page, and try to give you a few ideas to get you started on your own data exploration! And what data
As a huge road cycling fan, one of my favorite Olympic events is track cycling. With its speed and intensity, it is such a captivating set of events. While some events are sprint-focused and others are more endurance-focused, they all require powerful physical abilities, great bike-handling skills, cunning tactical expertise