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Unit 1, Section 2: Visualizing Data

Instructional Days: 14

Enduring Understandings

Data collection methods affect what we can know about the real world. Visual representations help tell stories with data. Distributions of numerical and categorical variables help describe variability in the data. Technology and computers allow us to visualize complex relationships in data.

Engagement

You will watch the video called The Value of Data Visualization to help you to understand the importance of graphical representations of data. You will then discuss with your class how you might want to see a data set visualized. The video can be found at: https://www.youtube.com/watch?v=xekEXM0Vonc

Learning Objectives

Statistical/Mathematical:

S-ID 1: Represent data with plots on the real number line (dotplots, histograms, bar plots, and boxplots).

S-ID 3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

S-ID 6: Represent data on two quantitative variables on a scatterplot and describe how the variables are related.

Data Science:

Create visualizations with data. Learn the difference between plots used for categorical and numerical variables. Interpret and understand graphs of distributions for numerical and categorical variables.

Applied Computational Thinking Using RStudio:

• Learn to download, load, upload, and work with data using RStudio syntax and structure.

• Create appropriate graphical displays of data.

• Differentiate between observations and variables.

• Learn to use objects, functions, and assignments.

Real-World Connections:

You will continue to understand that data on its own is just collected; but once interpreted, it can lead to discoveries or understandings.

Language Objectives

  1. You will use complex sentences to construct summary statements about your understanding of data, how it is collected, how it is used, and how to work with it.

  2. You will engage in partner and whole group discussions and presentations to express your understanding of data science concepts.

  3. You will use complex sentences to write informative short reports that use data science concepts and skills.

Data File or Data Collection Method

Data Files:

  1. Your Food Habits Campaign Data

  2. CDC Data File

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