Graphing Data from the Chemistry Laboratory

The next time you read a magazine or watch the news, make note of how many graphs you see because they are everywhere! Here, scholars collect, enter, and graph data using computers. The graphs are then analyzed to aid in discussion of...

Bring the sun to your class! Young scholars analyze actual solar wind data in the second lesson of a five-part series. Their analysis includes speed, temperature, and density data.

Beginning with a discussion about using technology to collect data, this resource includes a video about the next Mars rover as an example. Young scientists are taught that filtering is necessary before collected data can be analyzed....

Build a visualization to better see what is going on with large amounts of data. Pupils graph data to be able to view and analyze it. The class explores a visualization of popular baby names since 1880. The lab is the fifth in a unit of...

What's wrong with public transportation? Young engineers analyze data from a mass transit system. They do so to identify flaws in the system. 

"Clean the data!" "I did not know it was dirty." Introduce your class to the process of cleaning data so that it can analyze it. Groups work through a guide that demonstrates the common ways to filter and sort data. Pairs then...

Show your class how it all comes together. The last lesson in a unit of 15 has individuals take everything they learned in the data section to analyze the class-generated data. The pupils find a story they want to tell that appeals to...

Data, data everywhere. Challenge your class to begin thinking about data, the ways people collect information, and what we can learn from this data. Class members discuss sources of data and then individuals answer questions in the class...

We have calculators, so why do we have to do this by hand? The video takes viewers through graphing scientific data by hand to create a scatter plot. The process includes labeling axes, writing an appropriate title, determining a scale,...

Good versus bad data. Pairs rate online collections of data representations from good to bad and then suggest ways to improve the visualizations. The class then creates a list of best practices and common errors in data representations...