WSCBS2021 Visualization

This is an example Brane package to explore data by visualization, using Matplotlib (Python package). It can group columns of CSVs and show a bar plot / pie chart of the number of occurences. Futhermore a threshold is available to place values below a specific count, which will be merged in a group called "Others". NaN values can be dropped by setting the corresponding boolean.

Import it as follows:

$ brane import daanvinken/wscbs2021-visualization

The following environment variables can be set:

$ export INPUT='piechart' #or barplot
$ CSV_PATH=/data/test1000.csv
$ OUTPUT_PATH=/data/histimg.png
$ COLUMN_NAME=Census_PowerPlatformRoleName
$ THRESHOLD_OTHERS=10
$ PLOT_TITLE=Platform types
$ DROP_NAN=true

You also need to push the package to be able to import it in your remote session or jupyterlab notebook:

brane push visualization 1.0.0

For an overview of the parameters of the brane package, you can test the package

$ brane --debug test visualization --data data
# example parameters:
# - piechart
# - /data/data/test1000.csv
# - /data/piechart.png
# - 10.0
# - PlatformTypes
# - true
# - Census_PowerPlatformRoleName

The package can be build and published with make build. After which the example notebook can be executed within the Jupyter IDE.