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Month: June 2017

Reading Data for Travel Analysis into R

Reading Data for Travel Analysis into R

The last post covered all of the basics on how to prepare to start an analysis in R. Next, we need some data to analyze. Thanks to the internet we can find data on just about anything, including the historical trends of weather in almost any location. In this case we’re going to use data from Weather Underground. They provide a number of variables, but the raw format would be difficult to use: MST,Max TemperatureF,Mean TemperatureF,Min TemperatureF,Max Dew PointF,MeanDew PointF,Min…

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Getting started with travel analysis in R

Getting started with travel analysis in R

Sedona is one of those bucket list trips for me. I’ve always wanted to see the Grand Canyon and I’ve heard that the nearby town of Sedona is an interesting and beautiful place to visit. I also know that since it’s in the desert, there are a lot of fluctuations in temperature and there are probably certain times of year when we wouldn’t want to visit. If we’re going to take this trip it’s going to require investing a lot…

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What does Data Science have to do with real life?

What does Data Science have to do with real life?

According to Wikipedia, Data Science is “an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics”. In other words, most of my friends are drifting off about 15 seconds into my explanation of what I do. It may not sound like Data Science has a lot to do…

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