Interactively explore the flights data¶

At this point in a data-science project, you would normally start by looking at the data, trying to understand its structure, and see how to go about answering our question: how many flights had Austin, TX as their destination.

In this tutorial, we will jump-start the process by using some notebooks and scripts that have already been prepared.

Python

Go to the first example Python notebook and download the file to your computer. Go to the notebooks directory in your running interactive session and drag and drop the downloaded notebook there.

Julia

Go to the first example Julia notebook and download the file to your computer. Go to the notebooks directory in your running interactive session and drag and drop the downloaded notebook there.

R

Go to this example script download the file to your computer. Make the src directory in your running interactive session and upload the script there.

Note: some browsers might change the file extension to .txt - make sure to change it to .ipynb if that is the case!

In any case, use the renku save command to save your results, like the following:

$ renku save -m "Created notebook to filter flights to AUS, TX."

Successfully saved to branch master:
      notebooks/FilterFlights.ipynb
OK

You should look at the respective notebook or script to understand the logic. You can execute the relevant steps iteratively if you are new to this type of data wrangling.