How deeply does Everyday Data Visualization cover trend line?

Explains peaks and falls as climax and falling action, stopping short of mathematical construction or implementation.

Trend line

As explained in Everyday Data Visualization

A line in a visualization that represents the direction or pattern of change in plotted data.

A trend line turns a changing series into a readable visual story: its peaks, rises, and falls help viewers grasp the main insight. section 6.1.3

Rhino poaching

A trend line shows rhino poaching increasing almost 100-fold from 2007 to 2014, reaching its peak, then declining through 2016. The fall signals improvement, but not a complete resolution. section 6.1.3

Read the line as a sequence of developments:

Treat the peak as the climax: the point where the central insight becomes most visible. section 6.1.3
Treat the decline after the peak as falling action: progress may have begun, while significant problems remain. section 6.1.3

How Everyday Data Visualization covers it

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Also explained in

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Statistics Slam DunkA regression line is a fitted line that summarizes the predicted relationship between variables in a regression model.
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Grokking AI Algorithms, Second EditionA regression line is a fitted straight-line model representing the relationship between a dependent variable and an independent variable.
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Statistics Every Programmer NeedsA regression line is a straight-line representation of the relationship between a dependent variable and an independent variable in a linear regression model.

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Related concepts

falling actionused by · The narrative element after the climax that shows consequences unfolding and tension decreasing before the ending.
geom_smooth() functionproduced by · The ggplot2 geom_smooth() function adds a smoothed trend or fitted-model layer to a plot.
line plotpart of · A line plot is a chart that connects ordered data values with line segments to show changes, relationships, or trends.
squared lossmeasured by · Squared loss is the square of the difference between a predicted or fitted value and its target or observation, often summed across data points.
linear regressionproduced by · Linear regression is a statistical modeling method that estimates a continuous response as a linear combination of predictor variables and fitted coefficients.

This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.