Interactively explore the flights dataΒΆ
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.
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.
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.
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.