/iacs2017

Materials for IACS 2017 contest.

Primary LanguageJupyter Notebook

IACS Contest

My contest entries are present in the analysis.ipynb notebook.

Running the interactive plots

You'll need to clone this repository locally, and have bokeh, pandas and numpy installed. After that, run:

$ bokeh serve --show bokehscatter.py --port 5001

or

$ bokeh serve --show bokehselect.py --port 5002

Before Running Notebook...

Prior to running the notebook, the data file (covtype_preprocess.csv.zip) has to be unzipped first.

Contest Entry

My contest entry has two figures, one interactive and one static, and they can be found under the "Contest Entry" header (a Ctrl-F or Cmd-F should do). Alternatively, simply scroll to the end of the notebook.

The interactive figure requires that the entire notebook be run from scratch. This takes roughly 1-2 minutes in total. The static figure is also present in the directory under the name overview_plot.pdf. Figure captions are inside the notebook.