Interactive Data Visualizer for Scientific Experimentation and Evaluation

This package contains a web-based visualization tool for visualizing scientific experimation data. It is built on top of Dash and Flask. Dash uses Plotly to provide an interactive visualization of the data.

The tool expects a csv file containing the following attributes:

• x : the position in x axis
• y : the position in y axis
• theta : the orientation of the robot
• group : group id
• motion : left (l), straight (s), and right (r) representing the motions for lego robot experiments and representing the place location for the KUKA youBot arm experiments
• weight (optional) : small (s), medium (m), large (l) representing the size of the objects to be placed

The visualization includes:

• Tabular data
• Scatter plots
• Histogram and probability distribution
• Normality test using Lilliefors, Shapiro-Wilk, and chi square
• Quantile quantile (QQ) plots

Installation and Usage

• Local install

  pip install -r requirements.txt
  

  Run with gunicorn

  gunicorn --config gunicorn_config.py index:server
  

• Using docker

  docker build -t digiklausur/idv:latest .
  

  Run the visualization tool

  docker run -d -p 8085:8085 digiklausur/idv:latest
  

Deployment on Kubernetes

Usage with Jupyter