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JBI100 (2017-4) Visualization

This is an implementation of visualization concepts. We focus on one specific illustrative scenario about designing and implementing interactive adjacency matrix visualizations with a focus on the comparison of eye movement data.

Prerequisites

This project requires an installation of Python 3.5.x or higher.

The preferred setup includes the creation and activation of a virtual environment, because you will have to install a lot of dependencies.

If needed, confirm your version with the following command:

python3 -V

Installing

Please note the first two steps are optional.

  1. Create a virtual environment by executing the command venv:
python3 -m venv /path/to/new/virtual/environment
  1. Activate it:
Platform Shell Command to activate virtual environment
Posix bash/zsh $ source /bin/activate
fish $ . /bin/activate.fish
csh/tcsh $ source /bin/activate.csh
Windows cmd.exe C:> \Scripts\activate.bat
PowerShell PS C:> \Scripts\Activate.ps1
  1. Install the new standard of python distribution:
pip3 install wheel

And the other requirements:

pip3 install -r requirements.txt

Check if the following command lists the same packages that can be found in 'requirements.txt'.

pip freeze

Deployment

Navigate to the folder 'app_path' and run the application:

bokeh serve monolith.py

Usage

Built With

  • Bokeh - The visualization framework used

  • More stuff - built with more stuff

Authors

  • s numbers and names

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