Skip to content

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

License

Notifications You must be signed in to change notification settings

brainhack101/exploratory-data-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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 [email protected]: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.

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published