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PO
 

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  1. PO
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    <p>This isn't perfect as you don't have the speed in your data but it should get you to where you want with a few aesthetic changes:</p> <p><strong>Reshaping your data into a dataframe:</strong></p> <pre><code>dat1 &lt;- read.table(text=" Road Start End 1 157398137 166811234 1 216984017 238298694 1 238298694 247249719 2 0 8794530 2 8794530 26703134 2 59852594 73085123 2 206737339 218577503 2 218695178 231142027 3 96301465 115456078 3 116345621 126898764", header=T) dat2 &lt;- read.table(text=" Road Start End 1 157398137 166811234 1 216984017 238298694 1 238298694 247249719 2 0 8794530 2 8794530 26703134 2 59852594 73085123 2 206737339 218577503 3 3469683 56797911 3 96301465 115456078 3 116345621 126898764", header=T) dat3 &lt;- read.table(text=" Road Start End 1 157398137 166811234 1 216984017 238298694 1 238298694 247249719 2 0 8794530 2 8794530 26703134 2 59852594 73085123 2 206737339 218577503 2 218695178 231142027 2 231142027 241946296 3 3469683 56797911 3 96301465 115456078 3 116345621 126898764", header=T) lst &lt;- list(dat1, dat2, dat3) dat &lt;- data.frame(Vehicle = rep(paste0("Vehicle", 1:3), sapply(lst, nrow)), do.call(rbind, lst)) dat$Road &lt;- factor(dat$Road) dat </code></pre> <p><strong>Plotting the data:</strong></p> <pre><code>library(ggplot2) ggplot(dat) + geom_segment(aes(x=Start, xend=End, y=Vehicle, yend=Vehicle), size=3) + coord_flip() + facet_grid(Road~.) </code></pre> <p><img src="https://i.stack.imgur.com/0u28W.png" alt="enter image description here"></p>
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    1. POPlotting a visualization of different categories of observation in R
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    1. USTyler Rinker
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    1. COHow would I color according to speed if that were overlayed with new, non-overlapping data for Vehicles 1 to 3?
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    2. COIs it categorical or continuous data?
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    3. COCategorical 0-20mph - blue, 20-30mph - yellow, >30mph - red
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      1. USKaleb
 

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