From the course: D3.js Essential Training for Data Scientists
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Distribution - D3.js Tutorial
From the course: D3.js Essential Training for Data Scientists
Distribution
- [Instructor] If you're a statistician, you'll be familiar with distribution data. There are three standard charts to show distribution. Histograms are the first port of call. They group each data point into buckets, or ranges, and use bars to show how many data points fell into each bucket. Boxplots are a great way to compare distributions. A standard boxplot shows you the five data points about your distribution: min and max, the interquartile range, and the median, or midpoint. Looking at a boxplot is a bit like looking at a histogram from above, sort of a bird's eye view. You can see if the distribution is normal, or skewed, or got a long tail. And you can see how spread out your results are, just as you can with a histogram. A word of caution with boxplots though: they can take a bit of explaining the first time people see them. The last remaining typical chart here is the scatterplot. Here you show your results directly against two numeric axes. Scatterplots are often used to…
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