exploratory-data-analysis

Exploratory data analysis and various types of plots using the Iris dataset

Getting started

To run this notebook and all of these plots, run the following commands:

$ git clone git@github.com:brainhack101/exploratory-data-analysis.git
$ cd exploratory-data-analysis
$ mkdir env
$ virtualenv env/exploratory-data-analysis -p python3.6
$ source env/exploratory-data-analysis/bin/activate
$ pip install jupyter numpy plotly scipy scikit-learn scikit-image
$ jupyter-notebook --NotebookApp.iopub_data_rate_limit=1000000

If you're using Anaconda, simply skip the "mkdir", "virtualenv", and "source" commands, and replace pip with conda.

Then copy the URL returned by the last command into your browser; it should look something like this:

http://localhost:8889/?token=17bbe9525ee99e3...

Once you're in the notebook portal, navigate to code>exploratory_iris.ipynb to launch the notebook.