Voila on Binder](https://mybinder.org/v2/gh/tretomaszewski/F19_IS590DV_Final/master?filepath=%2Fvoila%2Frender%2Fnotebooks%2FIS590DV_Fa19_Final_Presentation.ipynb)
Fall 2019 IS590DV Data Visualization Final Project
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the environment, e.g.
If you have conda
you can use environment.yml
to clone the environment used with this project.
-
In the project root directory on command line, clone the environment:
conda env create -f environment.yml conda activate dataviz pip install -r requirements.txt
-
Now to setup the environment for JupyterLab, run these commands.
ipykernel
, andipympl
may or may not be necessary depending on your setup.dataviz
is a good name for the kernel.conda install ipykernel ipython kernel install --user --name=<any_name_for_kernel>
-
Then, still in the project root, start up JupyterLab.
jupyter lab
-
Once in JupyterLab, navigate to the
notebooks
directory and selectSmartPhoneWatchActivity.ipynb
. -
If prompted for a kernel environment, choose the one used for
<any_name_for_kernel>
. If not prompted and the notebook won't run, try changing the kernel environment in the upper right-hand corner. -
Finally, if things still do not work, deactivate the dataviz environment
conda deactivate conda install -c conda-forge nb_conda_kernels
And return to Step 2.