When selecting a dataset to explore, pick something that matters to you! You’ll be working with this data for a while, so you don’t want to pick something at random just to get it done.

When choosing a dataset, it’s a good idea to consider a few factors:

  1. Is it interesting? Pick a dataset you’re genuinely interested in, so that you can explore questions that matter to you!

  2. Is it relevant? Pick a dataset that deals with something personally relevant to you and your community! Does this data impact you in any way? Are there questions you have about the dataset that mean something to you or someone you know?

  3. Is it familiar? Pick a dataset you know about, so you can use your expertise to deepen your analysis! You wouldn’t be able to make samples of the Animals Dataset properly if you didn’t know that some animals are much bigger or longer-lived than others.

These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). CCbadge Bootstrap by the Bootstrap Community is licensed under a Creative Commons 4.0 Unported License. This license does not grant permission to run training or professional development. Offering training or professional development with materials substantially derived from Bootstrap must be approved in writing by a Bootstrap Director. Permissions beyond the scope of this license, such as to run training, may be available by contacting contact@BootstrapWorld.org.