Learn how D3 data handlers can be used to import external, non-JSON data to DC charts. Learn how to create a DC boxplot to show distribution data.
- [Woman] A box plot, like those shown on the bottom here,…is a great way to compare distributions…of data.…The lines at either end of the box plot…indicate min and max.…The ends of the colored area…indicate the extremes of the inter-quartile range,…and this line in the middle, indicates the median,…or middle record.…Box plots also sometimes have little circles,…which indicate outliers in the distribution,…and they can allow you to see skew.…Looking at a box plot is a bit like looking…at a distribution from above.…
To make this, we're going to need some new data.…And we're going to use morley.csv,…which is sample data often used by the DC community,…and taken from the Morley experiment from 1887,…which was an experiment to measure the speed of light.…The data cover five experiments shown on the x-axis…each containing 20 rungs, and against each rung…a speed was recorded.…And the distribution of those 20 rungs…is what's shown on the y-axis.…We can download the data from Github,…and copy the file…into your folder.…
Until now, we've used a data array…
- Downloading and setting up DC.js
- Building dashboards
- Making charts: bar, area, pie, bubble, boxplot, and series
- Applying graphical filtering
- Working with dates
- Restyling dashboards
- Using D3 charts in a DC dashboard
- Linking charts together
Skill Level Intermediate
Crossfilter for Data Science Essential Trainingwith Emma Saunders1h 33m Intermediate
D3.js Essential Training for Data Scientistswith Emma Saunders4h 38m Intermediate
Data Visualization Tips and Trickswith Matt Francis2h 14m Intermediate
1. Preparing to Code in DC
2. Individual Charts
3. Making Advanced Charts
4. Building a Dashboard
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