Big Data Science Projects (25 results)
"Big data" is exactly what it sounds like, a really large amount of data. Science has always been at the forefront of gathering, visualizing, and trying to make sense of massive data sets. For example, think of the more than 661,000 (and counting) asteroids that have been discovered in our solar system. Or ponder that 1.2 million species have been caught, identified, classified, and catalogued on Earth. And then there are the approximately 3 billion base pairs sequenced from the human genome. Even before there was a term for it, scientists have been amassing and analyzing big data.
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You have probably seen figures showing how human beings are related to chimpanzees, gorillas, and other primates. In this genomics science fair project, you will use bioinformatics tools to generate your own primate family tree.
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The Ring of Fire is a region of volcanic and earthquake activity that surrounds the Pacific Ocean. In this project you can explore the connection between plate tectonics and volcanic activity by mapping historical data.
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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.
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The first land animals took their tentative steps out of the ocean and onto solid ground around 365 million years ago. Over millions of years, these early ancestors developed into tetrapods, including amphibians, reptiles, dinosaurs, birds, and mammals. Then, around 50 million years ago, the reverse process occurred: the mammalian ancestor of today's whales returned to the ocean. In this genomics science fair project, you will use mitochondrial protein sequencing to trace the evolution of…
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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…
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