In this lesson, students will learn about why data visualization is important, when different data visualizations are used, and some common errors with visualization.
Unit 3 | Data Science Practices
The "Data Science Practices" unit focuses on the practical aspects of data science, where students will analyze and visualize data to extract meaningful insights. They will be introduced to various data analysis techniques and statistical methods.
The unit emphasizes the importance of storytelling with data and conveying insights clearly and compellingly. In addition to the skills of creating data visualizations, students will be asked to think critically about what kinds of data visualizations will best serve the needs of the questions they seek to answer and the stories they seek to tell.
Lesson 3.2: Exploratory Analysis with CODAP
In this lesson, students will learn the mechanics of using CODAP to create several basic graph types to explore a dataset.
Lesson 3.3: Graphs and Figures for One Variable
In this lesson, students will learn about different univariate graphs, namely the boxplot, bar chart, histogram, and dotplot.
Lesson 3.4: Graphs and Figures for Two or More Variables
In this lesson, students will learn about different multivariate graphs, namely the scatter plot and binned dotplot.
Lesson 3.5: Tests and Estimates for One Variable
In this lesson, students will learn to create and interpret confidence intervals for one variable.
Lesson 3.6: Linear Models with Story Builder
In this lesson, students will learn to create linear models in CODAP and use the Story Builder plugin to record their progress through a data investigation on Earthquakes.
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