I have written on Plotly before. I will be revising Statistics with my Year 11 (UK age 15-16) class this week in preparation for their GCSE exam, so the latest Plotly blog post on Three Things That You Can Do To Explain Your Data is very timely.
I plan to use the Nobel Prize Data plots to revise Box Plots and importantly the interpretation of the plots. Whilst outliers are not on the specification for GCSE, they are for the A Level students and I believe that wonderfully clear outlier for for the Noble Peace Prize is worth a mention for all of them!
Note that you can play with the data! If you then choose to Fork and edit, you can save the file so you can modify it for your own use; you will need to create an account (free) or sign in with social media. Choose Traces and you will see several options, you can choose to show points or not for example. Note the Style tab too where you have several options to customise your chart.
Select the link to play with the data
You could use this to create your own charts – simply choose your theme, edit the data and choose your options to create very attractive and clear charts. I like the way the data can be displayed as well and created some simple box plots to demonstrate skew:
For more resources on Statistics see this page, also the worked examples here.
For more resources on Statistics see this page, also the worked examples here.
(Post for students on Box Plots)
Talking about Nobel Prize winners and statistics: I love listening to the More or Less podcasts from BBC Radio 4 (http://www.bbc.co.uk/news/magazine-17707410).
One of my all-time favourites talks about the correlation between average chocolate consumption per citizen of a country compared to the number of nobel prize winners that country produced(http://www.bbc.co.uk/news/magazine-20356613). In fact I was quoting that statistic to my year 13 last week when discussing correlation and regression.
These podcasts offer great teaching materials week after week – and they are fun to listen for any person with a hint of interest in statistics!
I agree Anja- that is such a good program.
And for more Spurious correlations – see http://www.tylervigen.com/
I didn’t learn these when I was in school so when I had to teach them, I found them a little difficult to comprehend. These graphics help a LOT.
I do like the option to display the points as well Iva. I think I will create a set of charts for teaching this; showing the points will help students understand any skew.