This repository contains examples for the data visualisation + analysis section of the course. I'll add to it as the semester progresses.

Feel free to comment (or better yet, submit a pull request) if you spot any errors, have a nicer way to do something, or have any other comments/suggestions!

• 00-Basic
  • Some very basic introductory python versions of the introductory matlab scripts from the course blackboard

• wk1 lecture slides

• read-files

  • A number of basic examples showing reading in text files + plotting
  • Examples in: python, C++, gnuplot, matlab, Mathematica, C
  • See README-read_files.md for details

• binary-files

  • Examples of reading/writing binary files
  • See README_binary-files.md for details

• GPS-example

  • A more complicated "real world" example, using skills from above
    • (This will probably be more accessible after a few weeks of the course, but I give it to you now for your interest)
  • Plots public atomic clock data from GPS (provided by JPL/NASA)
  • See README_GPS-example.md for details

• waveform

  • Python and C++ versions of the matlab script to read the binary waveform data from week 1 tutorial

• A bare-bones python example similar to provided matlab example for first project
• You'll need to download the data from the blackboard site

• Example "height" data plots from the lecture
• Solutions to week 2 workshop (flu data)
• wk2 lecture slides

• Bivariate examples: fit, correlations, weigthed fit
• wk3 lecture slides

• Time-series data examples, including Fourier transforms, autocorrelation, heatmaps, seasonal trends etc.
• interative plot example with ipywidgets
• wk4 lecture slides

• Multi-variate data: 3D data plotting, multi-regression, heatmaps, spatial statistics (correlation)
• wk5 lecture slides

• PCA: Principle component analysis examples
• wk6 lecture slides
• (week 7 was covered by other lecturer)

• k-means clustering and extensions
• 4D+ plotting: contours, colour-maps, quiver plots, stream plots, meshgrid
• wk8 lecture slides

• Interactive plotting and animations, python 'magics'
• Interpolation
• Wire frames, surface plots, 3D contours and projections (galaxy-surface)
• Plotting styles, colors, fonts, style sheets
• dealing with large output file sizes + scalable graphics