README.md

flourishcharts: Flourish in R & Python

Interactive data visualization for data practitioners. flourishcharts allows users to visualize their data using Flourish charts that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in d3.js graphics, easily in R and Python. The package relies on an enterprise API provided by Flourish.

Python package installation

You can install to a specific virtual env by using pipenv:

pipenv install flourishcharts

or to your global Python installation with pip:

python3 -m pip install --upgrade flourishcharts

R package installation

Install from CRAN via:

install.packages("flourishcharts")

Alternatively, install from GitHub:

remotes::install_github("canva-public/flourishcharts", subdir="R_package")

Key info

Grab a Flourish API key from https://app.flourish.studio/settings. Store in one of two places, depending on language used:

• Python: in the ~/.envrc file for the Python environment or, alternatively, your ~/.zshrc or ~/.bashrc file.

export FLOURISH_API_KEY="..."

• R: In your ~/.Renviron file:

FLOURISH_API_KEY = "..."

Any issues?

Please log an issue in the GitHub repository.