Time Series Analysis Chapter 15

What is the primary purpose of aesthetics in data visualization?

Which type of scale is used to map data values onto a continuous range of colors?

What is the primary function of a coordinate system in data visualization?

Which type of scale is used to map categorical data values onto distinct colors?

What is the primary purpose of using nonlinear axes in data visualization?

What is the primary function of a position scale in data visualization?

What is the primary purpose of using color to highlight in data visualization?

What is the primary purpose of using color to represent data values in data visualization?

What is the primary purpose of using nonlinear axes in coordinate systems?

What is the primary function of a scale in data visualization?

Book Overview

The book is divided into three parts: "From Data to Visualization", "Principles of Figure Design", and an annotated bibliography.
The book covers static visualizations presented in print, online, or as slides, but not interactive visuals or movies.

Part I: From Data to Visualization

The first part describes different types of plots and charts, with an emphasis on the science of visualization.
The part is organized by the type of message the visualization conveys, rather than the type of data being visualized.
Topics covered include visualizing data, coordinate systems and axes, and color scales.

Part II: Principles of Figure Design

The second part discusses design issues that arise when assembling data visualizations, with an emphasis on the aesthetic aspect of data visualization.
Topics covered include ugly, bad, and wrong figures, and introduction to principles of figure design.

Part III: Annotated Bibliography

The annotated bibliography at the end of the book provides pointers to texts covering visualization software and programming libraries.

Visualization Topics

Visualizing trends: smoothing, showing trends with a defined functional form, detrending, and time-series decomposition.
Visualizing geospatial data: projections, layers, choropleth mapping, and cartograms.
Visualizing uncertainty: framing probabilities as frequencies, visualizing the uncertainty of point estimates, curve fits, and hypothetical outcome plots.

This quiz covers time series analysis, including visualizing trends, smoothing, showing trends with defined functional forms, and detrending and time-series decomposition.