This video covers how to use the often impenetrable API reference.
- [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 show regression data,…and you can add a line of best fit, an R-squared,…
- Making a simple bar chart with D3
- Understanding SVG graphics
- Drawing basic shapes
- Adding text
- Using generators and the path element
- Creating a scale and axes
- Importing data into D3
- Creating trees and Voronoi tessellations
- Preparing your data for advanced graphics
- Adding interactivity and transitions
- Choosing the right graphic
- Finding D3.js plugins
Skill Level Intermediate
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
2. Making a Simple Bar Chart with D3
3. Basic Shapes, Courtesy of SVG
4. Advanced Shapes, with D3 and Path
5. Scales and Axes
6. Importing Data into D3
7. Additional Graphics with D3 Layout
8. Preparing Your Data for Advanced Graphics
10. Picking the Right Graphic
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