Lesson 3.1 Visualizing Data

Lesson 3.1 Visualizing Data

The goal of this lesson is for students to be able to create visualizations to analyze large sets of data and to meaningfully interpret the patterns they uncover. They draw conclusions relevant to themselves from data, including local weather, the economics of their community, and naming trends with their name. At the beginning of the lesson, students weigh societal concerns around the collection and persistence of Big Data. The students learn how to use Python to make useful graphic representations of data, developing from familiar visualizations to more modern visual analyses like scaled-dot or colorized scatter plots of multidimensional data sets. Students are introduced to basic Excel® spreadsheet programming and cell manipulation. A Monte Carlo simulation is used to help students appreciate the meaning of evidence for association between two variables.