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Results for “Linear Regression”
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Linear Regression
match 100%
Fit a line through two variables to expose relationships and highlight influential outliers.
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Line Chart
match 67%
Line charts show how logistics metrics change through time — transit durations, order volume, fuel cost, or on-time rate.
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Bar / Column Chart
match 60%
A bar chart compares categories such as routes, carriers, or depots side by side. It’s the simplest and most honest way to rank supply-chain performance.
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Pie / Donut Chart
match 60%
Pie charts show how a few categories contribute to a whole. Use them when audiences want a quick, high-level sense of share.
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Histogram
match 51%
Histograms show how a numeric measure is distributed across ranges — the quickest way to spot skew, outliers, or clustering before you model or segment.
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Small Multiples
match 46%
Small multiples display the same visual repeated across categories — perfect for comparing regions, carriers, or product groups with consistent scales.
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Standard Deviation
match 45%
Standard deviation quantifies spread — the heartbeat of reliability metrics like transit time or pick accuracy.