Data Analysis 2: Data Visualisation - Computerphile

This series was made possible by sponsorship from by Google.

The ‘Chicken’ dataset was adapted from this dataset:

This video was filmed and edited by Sean Riley.

[mokopa]

The chickens/eggs/diet example was wisely chosen, perfectly presented and definitely relevant. Well done, you certaily deserve your thumbs-up!

I came up with the optimal diet for chicken... unfortunately it only works for spherical chicken in a perfect vacuum.

[Ethelgiggle]

Im really regretting not studying computer science in nottingham. All of those people are awesome especially Dr. Mike. To have a class with him would be nice for sure.

[Nayus]

Data Visualisation's impact in the conclusion is often overlooked or underated. I remember in experimental physics class how when we had to make the final visualisations of our measurements, specially in histograms, the different in width of the intervals made a huge difference in the overall look of the graph, without even touching any of the measurements. It's interesting how changing something completely "legal" and without obscuring any result you still could imply a different behavior

[dimitriouchemistry]

It's funny how you were talking about types of data, and then the commercial before your video said that the "tacos are 15% tastier"

[zerokelvin]

What makes a good graph? I can really recommend the book "The Visual Display of Quantitative Information" by Edward Tufte. In fact every scientist, politician and journalist should be mandated to read it in my opinion

[black_platypus]

15:56 Your favorite sensationalist news outlet: *Diet A kills older chickens!*

[tomaspinguim]

The boxplot do not plot the maximum and minimum of the data. It actually plots the wiskers until the 3rd quartile (q3) + 1.95 * IQR or 1st quartile (q1) - 1.95 IQR. IQR means InterQuartile Range or the distance between q1 and q3.

[Izzy-vexz]

I didn’t think I could like Dr. Mike any more than I already do, but then he said one of his favorite TV shows was Frasier and I was proven wrong.

[isabellabihy]

Thank you making the appropriate visualization clear. Excellent! People get duped easily by impressive visuals. Looks good, the scale becomes unimportant. Along comes a convincing presenter, and the truth gets lost. MS Excel's (and other spreadsheet applications) statistical functions are fantastic, but if you apply them inappropriately, your visualization may look and be colorful, but doesn't really have a meaning.

[ExplicableCashew]

I see Mike Pound, I click. What a good day

[ThePinkArmy]

Came here for the data talk, got me some shared Frasier love! Great video

[ramixnudles]

In the last analysis, would it be appropriate to use the min/max of the data for B and C to limit the ages of the chickens for A? I.e., take only those chickens on diet A which were at least as old as the youngest chickens of B or C?
This might wind up reducing the data points available for A, but would remove the younger age bias.

[dreznik]

the hard part of this work is not the analysis, but the preparation. 9:1 of the work. the R/tidyverse is a good tool

[Alex-jvbs]

This whole series is awesome. Well explained. I wish you did it before I wrote my thesis :D

[SomebootyElse]

Those down votes came from the pie chart enthusiasts.

[TheAsymmetrical]

Currently writing out letters so people will hire me as a "data manager" listening to D A D D Y P O U N D gives me strength doing so. Ty ty

(this is a great resource genuinely ty)

[morganwilliams]

Love it! Can you please link to your R-code?

[rickl]

Would that be too much if i ask for the upload of the sample data sheet?

[simonh]

Could you explain why it makes sense to create plots about the age with the chicken dataset. It seems unintuitive to me when you measure the age of the same chicken over time and then create a histogram / boxplot.