First Grade, Big Data Science Experiments (25 results)

Over time, viruses evolve. Their evolution is influenced by both neutral drift, the natural mutation rate of the virus, and selective pressure from the hosts' immune systems. Scientists study a virus's genomic evolution—the changes at the nucleotide and amino acid level—to better understand how the virus is spreading and the clinical implications. You can use public databases and tools to do the same type of tracking and analysis of COVID-19 that scientists around the world do. … Read more

Here's a sports science project that shows you how to use correlation analysis to choose the best batting statistic for predicting run-scoring ability. You'll learn how to use a spreadsheet to measure correlations between two variables. Read more

Harmful algal blooms occur when algae, which form the base of the ocean food web, grow in massive numbers and produce toxic or harmful effects on people, fish, shellfish, marine mammals, and birds. In this project you will learn how to use archived data from continuous monitoring stations on the Chesapeake Bay to study how water quality measurements (dissolved oxygen (DO), salinity, temperature, pH, turbidity, and total chlorophyll) change before, during, and after harmful algal blooms. Read more

Ozone in the stratosphere protects the earth by absorbing harmful ultraviolet radiation from the sun. However, when ozone occurs in the troposphere, i.e., the air that we breathe, it is harmful to health. In this project you can use data from EPA monitoring stations to analyze the weather/climate conditions that can lead to harmful ozone levels. Read more

Big data is one of the most promising and hyped trends in technology and business today. Big data refers to data-analysis jobs that are too large and complex to be analyzed by applications that are traditionally used. Big data sets hold valuable information. Many publicly available data sets have the potential to improve our everyday lives by giving us insight into the things we care about. How well-equipped are we to extract information from the data? Visualizations and aggregations (or… Read more