data visualization Show the Data Snow Month skimming deep waters

Transcription

1 data visualization skimming deep waters Show the Data Snow

2 Minimize Distraction Minimize Distraction Snow Make Big Data Coherent Reveal Several Levels of Detail Mean Snow by Across s

3 Be Closely Integrated with Statistics The Data:Ink Ratio Mean Snow by Across s Above all else show data. 2. Maximize the data-ink ratio. 3. Erase non-data-ink. 4. Erase redundant data-ink. 5. Revise and edit Minimizing Ink Minimizing Ink Mean Snow by Across s Mean Snow by Across s

4 Extra Ink in Boxes & Lines A Cleaner Boxplot Pure Tufte Boxplots Basic Plotting in R diatom

5 cyanobacteria.tota diatom dinoflagellate green Snow Visualizing a Lot of the Data A Basic Bivariate Plot 4 pairs(plankton[, 14:18]) diatom, data = plankton) diatom A Basic Bivariate Plot Adding Axis Labels plot(plankton$diatom, plankton$) plankton$ diatom, data = plankton, xlab = "", ylab = "", xlim = c(, )) plankton$diatom 5 15

6 Adding Axis Limits More Point Shapes diatom, data = plankton, xlab = "", ylab = "", xlim = c(, )) diatom, data = plankton, xlab = "", ylab = "", xlim = c(, ), pch = 19) More Point Shapes cex for Size plot symbols : points (... pch = *, cex = 3 ) *. o * o OO + + %% # # diatom, data = plankton, xlab = "", ylab = "", xlim = c(, ), pch = 19, cex = 4) See also cex.axis, cex.lab, and more

7 Add a Little Color Panels with Par and Mfrow diatom, data = plankton, xlab = "", ylab = "", xlim = c(, ), pch = 19, col = ) par(mfrow = c(1, 2)) Daphnia Abundnace Lots of Other Functions that For Plots?matplot?lines?axis?title?legend?points?segments ggplot2 or how I learned to stop worring and love & So...Explore! Plot with the data, try different par settings, or use some of these functions!

8 Start with nothing... p <- ggplot(data = plankton, mapping = aes(x =, y = )) p ## Error: No layers in plot There is no layout specified here for the data. Add a Layer Format with Theme p <- p + geom_point() p p <- p + ylab("total Copepod Abundance") + theme_bw() p Total Copepod Abundance

9 Map a Variable to Color Set Your Own Scale p2 <- ggplot(data = plankton, aes(x =, y =, color = )) + geom_point() + theme_bw() p2 p2 <- p2 + scale_color_gradient(low = "blue", high = "red") p And Maybe Add Another Layer Facet for Easier Visualization p2 <- p2 + geom_line(aes(group = )) p2 p2 <- p2 + facet_wrap( ) + scale_x_continuous(breaks = c(3, 6, 9, 12)) p

10 This All Can Lead to Interesting Visualizations qplot(factor(), diatom, geom = "bar", fill = factor(), data = plankton) + theme_bw() + xlab("") + ylab("\n") + scale_fill_discrete(name = "") + scale_x_discrete(breaks = seq(1974, 1997, 5)) Lots of Layers to Add to ggplot2 Objects?theme?labs?xlim?facet_grid?scale_x_log?geom_histogram?geom_ribbon?geom_linerange?geom_freqpoly So...Explore! Also, see for some examples