mito_quickstart

Use this configuration to quickly spin up an instance of Mito and Jupyter on a Docker container.

Prerequisites

• Docker

Installation

docker-compose up

Execution

This demo runs on an instance of Jupyter Notebook. To access the notebook, look for the URL on the console that launched the Docker environment. It should appear as something like this:

jupyter       |     To access the notebook, open this file in a browser:
jupyter       |         file:///home/jovyan/.local/share/jupyter/runtime/nbserver-16-open.html
jupyter       |     Or copy and paste one of these URLs:
jupyter       |         http://0b90cc578f8a:8888/?token=e04fb77ae092f52dd1a31bdc24d03f79933d0db1f620e77c
jupyter       |      or http://127.0.0.1:8888/?token=e04fb77ae092f52dd1a31bdc24d03f79933d0db1f620e77c

Launch the URL from a browser and navigate to the FirstMitoSheet.ipynb file.

Select the "IMPORT" button in the Mito Sheet and import the movies.csv file.

NOTE: The movies.csv file came from Movie Industry dataset on Kaggle