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Line plot

As explained in Effective Data Analysis

A chart is a visual representation of data designed to communicate patterns, comparisons, or trends.

A line plot represents values across time by connecting observations, making trends, growth trajectories, and differences between groups easier to follow. It turns performance metrics into a visual narrative for stakeholders. section 7.3.2

Use line plots when comparing segmented metrics over time. They can clarify trajectories more effectively than grouped or stacked bars, but too many lines or unfamiliar encodings can overwhelm readers. section 7.3.2

Figure 7.22 Line graphs are typically easier to interpret when visualizing trends between groups over time.
figure

Compare trends between groups over time through distinct lines. section 7.3.2

Build and review a line plot with these practical checks:

  • Match the chart to the question and decide whether stakeholders need an overall or segmented view. section 7.3.2
  • Label lines and dashboard sections clearly, then add filters or grouping variables that support stakeholder work. section 12.3.3
  • Inspect axis limits carefully: defaults based on minimum and maximum values can exaggerate fluctuation, while broader limits can make change appear negligible. section 7.3.2
  • Use logarithmic scales cautiously when values fluctuate exponentially. section 7.3.2

Weekly performance dashboard

Plot weekly total sales, total items purchased, bounce rate, or average page views per visit. Add filters for useful groupings, arrange the dashboard logically, publish it through the selected analysis tool, and request peer feedback. section 12.3.3

How Effective Data Analysis covers it

How deep it goes
Explains selection, segmentation, labeling, axis limits, and logarithmic scales, but stops short of implementation code.
Examples
Uses weekly sales, purchases, bounce rate, subscribers, followers, and page views in dashboard exercises.
What it assumes
Assumes familiarity with metrics and stakeholder questions while treating chart selection, labeling, and interpretation as practical decisions.
What you can do after
Build it in a dashboard, choose useful groupings, label it clearly, and evaluate whether its scales communicate change responsibly.
How it connects
Connects line plots with time series data, dashboards, data visualization, stakeholders, and bar graphs.

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Related concepts

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