Uploading datasets and visualization to dstack.ai is done via the dstack package available for both Python and R. These packages can be used from Jupyter notebooks, RMarkdown, Python and R scripts and applications.
Once you've pushed your data to dstack.ai using the dstack packages for Python and R, you can combine your datasets and visualizations into a great-looking interactive dashboards with just a few clicks. Learn more on how to push your data to dstack.ai
Installing dstack package
The dstack package can be easily installed on of the following ways:
pip install dstack
conda install dstack -c dstack.ai
Sometimes pip can't resolve PyYAML dependency, so it should be installed manually:pip install pyyaml
Note, the R CRAN package is still under review. In order to install it, please use the following commands: