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F2019_IS590DV_FinalProject Binder

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

Project Organization

├── 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.

Setup

If you have conda you can use environment.yml to clone the environment used with this project.

  1. 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
    
  2. 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>
    
  3. Then, still in the project root, start up JupyterLab.

     jupyter lab
    
  4. Once in JupyterLab, navigate to the notebooks directory and select SmartPhoneWatchActivity.ipynb.

  5. 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.

  6. 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.

About

Final project for UIUC iSchool Fall 2019's IS590DV - Data Visualization

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