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readme.md

Data Science FACENS - Data Visualization

Associated examples and material of the discipline Data Visualization -- Data Science Specialization Program -- FACENS.

Table of contents

Resources

Running Examples & Exercises

Examples and exercises are presented as Jupyter Notebooks. Get started by cloning this repository within your own Jupyter environment or by launching a Jupyter environment from cloud services.

Cloud Services

MyBinder (project BinderHub)

  • Jupyter Lab:
    Binder

  • Jupyter:
    Binder

Google Colaboratory

  • Jupyter Notebook:
    Binder

Locally

Local installation

Alternatively, you may install Jupyter Lab by following these instructions.

Using Docker

You can run a containerized instance of Jupyter Lab from our own Docker image. Try:

docker run -it -p 8888:8888 matheusmota/facens-dataviz

Alternatively, you can map you local home folder into the container:

docker run -it -v `pwd`:/jupyter/data/ -p 8888:8888 matheusmota/facens-dataviz

Access the Jupyter Lab server by going to http://0.0.0.0:8888.

The Dockerfile used to build the image can be found here.

Alternative #3: repo2docker

repo2docker -p 8888:8888 -v `pwd`:`pwd`  https://github.com/matheusmota/facens-dataviz  jupyter-lab --ip 0.0.0.0 --NotebookApp.token=''

Access the Jupyter Lab server by going to http://0.0.0.0:8888/lab.

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