Collection of methods and results used in [cite publications when available]
Clone the repository
git clone https://github.com/BeaverResearch/ruuc_stats.git
Install the repository
cd ruuc_stats
pip install -e ./
Run the script ruuc_stats.summary_stats.py
, the reports containing all results based on
data/data.xlsx
. To generate an encompassing visualization of the reports run
ruuc_stats.create_aux_files.py
.
Start a local server form the main folder, e.g.,
python3 -m http.server
Then browse to localhost:8000 and browse among the available reports.
To visualize data through Tensorboard, open a terminal and cd into the main repository's folder. Then activate the virutalenv and launch the command
pip install -r requirements.txt
to get some additional libraries.
After the installation launch
tensorboard --logdir ./report/interactive_analyses
Browse to localhost:6006 for the visualization. If the page appears to be empty use the dropdown menu on the top-right and select projector.
Example results: