This repository contains a bunch of opinionated data visualizations in Python in the form of Jupyter Notebooks. The code is intended for quicker visualizations when performing an exploratory data analysis.
To modify and execute notebooks of this repository, you can use the jupyter/datascience-notebook container image from the Jupyter Docker Stacks.
Run the following steps with this repository as your working directory:
# Build custom image including packages required by out notebooks
docker build -t jupyter-custom:latest ./jupyter-notebook-custom
# Run the container (see container log for URL and access token)
docker run --name jupyter -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work jupyter-custom:latest
- Warming Stripes
- Calendar View
- Dynamic Histogram Matrix
- Event Timelines
- Violin Plots
- Chandlestick Chart
- State Change Heatmap
- Bar Chart showing resampled mean values for configurable time steps
- Ridge Plot