Sean Carney

Category: Data Science and Analytics

  • Advanced email in R: embedding images and markdown

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    Sean Carney
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    Previously we looked at how you can combine R and Markdown to create reports directly from your R scripts, and also how to send email from R using Microsoft Outlook. In this post, we’ll take these concepts a step further and look at how we can use R to embed images in email messages or…

  • Get started with RPA today using free tools

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    Sean Carney
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    Robotic process automation (or RPA) is transforming the way many businesses handle their repetitious, labour intensive tasks such as reporting, making basic decisions, and providing services. Using software these tasks can be automated; reducing the time to complete tasks while also improving their accuracy and consistency. If you want to get started down the RPA…

  • CRISP-DM in depth: data understanding

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    Sean Carney
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    Having developed business understanding and a deep knowledge of the problem you are trying to solve, the next step in the CRISP-DM framework is to develop that same level of understanding around the data itself. This step isn’t analysis, but rather looking at the structure and shape of the data in order to determine what…

  • Quickly create polished, professional reports with Markdown and R

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    Sean Carney
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    One underappreciated feature in R is the ability to easily create beautiful reports using Markdown. Markdown files contain a combination of code and text, allowing you to write your analysis alongside your code and publish both the analysis document and code in a wide variety of formats with little effort.

  • Defining big data

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    Sean Carney
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    Buzz words have the unfortunate tendency to be often used but seldom clearly defined. Today we are going to tackle the popular phrase “big data” and strip it down to a clear definition. Overall the term is fairly self explanatory, it refers to large data sets, but there are 5 defining characteristics specific to big…

  • Book review: Weapons of Math Destruction by Cathy O’Neil

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    Sean Carney
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    As big data transforms our businesses, governments and society, it also presents us with new moral and ethical dilemmas that we need to consider. As is typical with new technology, we often tend to implement first, and consider the ethical issues later. Cathy O’Neil’s book Weapons of Math Destruction is an introduction to the ethical…

  • CRISP-DM in depth: business understanding

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    Sean Carney
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    When using the CRISP-DM framework, the first step in the data mining process is to develop your business understanding. This stage of the process is about gaining knowledge of the business, the issues they face, opportunities for improvement, their objectives, their constraints and creating your project plan.

  • Error catching, logging, and reporting in R with tryCatchLog

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    Sean Carney
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    One of the biggest benefits from creating an automatic reporting framework is that you no longer need to directly supervise the creation and distribution of reports. However, when things go wrong it can be difficult to understand what went wrong and why. Luckily, R’s tryCatchLog package makes it easy to trap and log errors as…

  • Book review: Whiplash by Joi Ito and Jeff Howe

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    Sean Carney
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    Talking about the rate of change in our society has transcended being a statement of fact to being something of a cliché. Never the less, technical and societal changes are forcing us to regularly ask deep questions about how to move forward in the midst of rapid change. Joi Ito and Jeff Howe of the…

  • A brief overview of SQL’s SELECT statement

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    Sean Carney
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    One of the first steps in any data science project is to acquire and analyze the raw data. Since this data will commonly be stored in databases, understanding Structured Query Language (SQL) will enable you to get the data you need and start working quickly. This post summarizes the basics of SQL’s SELECT statement, which…