From the course: R Essential Training Part 2: Modeling Data
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Computing descriptive statistics
From the course: R Essential Training Part 2: Modeling Data
Computing descriptive statistics
- [Instructor] When you're analyzing data it's always a good idea to start with visualizations first, and when you have a quantitative variable that's an interval or ratio level, sometimes called a continuous variable, when you're measuring something that is measured or scaled it's common to do a histogram or a box plot, and then to follow it up to do a numerical analysis with common descriptive statistics, and in this video I want to show you how to do some of those basic descriptive statistics. To do this I'm going to start by loading a few packages. And then I'm going to load a dataset that I've used elsewhere. It's the state data. This is a dataset that contains information about Google searches and also results from a psychology paper about personality profiles on a state by state basis for the 48 continental United States. I'm going to load that, but I'm going to make a few modifications as I load it. First I'm…
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