Introducing An Easier Way to Filter & Find Datasets on Tuva!

There are 300+ Tuva Datasets in our library covering topics such as the Climate Change, Land & Sea Animals, Presidents of the United States, and many many more.

Today, we are excited to do an initial launch of a more powerful Filter Bar to meet the diverse needs of our educators within the Tuva community.

A More Powerful Filter Bar:

Now, if you wanted to find all the Science or Environment-related Tuva Datasets that are small in size, you can find them very quickly by choosing Science & Environment in the Subject drop-down and 1-40 in the Size drop-down, like this:

As you can see above, you can now filter and find Tuva Datasets based on a number of additional parameters beyond Subject & Grade Level such as:

  1. The Size of the dataset (How many data points are there?)
  2. The NGSS standard (particularly relevant for all our US Science Educators)
  3. The dataset Language (For our non-English speaking educators and learners)

Now, if you wanted to find all the Science or Environment-related Tuva Datasets that are small in size, you can find them very quickly by choosing Science & Environment in the Subject drop-down and 1-40 in the Size drop-down, like this:

Or, if you wanted to find a dataset that is related to the MS-ESS3-5 (Earth & Human Activity) NGSS Standard, you can find it very quickly by choosing MS-ESS3-5 in the NGSS drop-down, like this:


Send Us Your Favorite Datasets & Win

Do you have a favorite dataset that you have used in your previous lessons or units? Does it come from an authentic source? Is it licensed under Creative Commons? Are you able to link to it?

Send us your favorite datasets to hello@tuvalabs.com over the next two weeks and enter a chance to win a Tuva T-shirt, a Tuva Coffee Mug, and other goodies!

New Feature: Plotting Multiple Numerical Attributes on the Same Axis

When it comes to exploring data, how one organizes the dataset is incredibly important. Typically, each column should represent an attribute and each row should represent one observation. There are certain best practices one should follow when organizing a dataset, but we will leave that for another post.

There are times when the data is organized a bit differently, one needs to be able to plot multiple attributes on the same axis in order to meaningfully explore and analyze the data. Today, we are launching this functionality on Tuva.

Once you drag and drop an attribute on the x- or y-axis, you will be able to drag another attribute and drop it on the small rectangular box that appears below the attribute on that same axis. Here is a brief video showcasing this new feature in an example:

What do you think about this feature? Take it for a spin on the Climate Change or World Populations dataset, and post your comments, ideas, or feedback in the discussion thread.