Difference between revisions of "Student-solutions/Ryan"
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| + | == Gnuplot Visualization v2.0== | ||
| + | <pre> | ||
| + | set multiplot layout 1,2 columnsfirst title "Greenhouse Gas Emissions of United States (1990-2005)\nData courtesy of The World Bank" | ||
| + | set xtics 1990,5,2005 | ||
| + | set ylabel "Thousand metric tons of CO2 equivalents" | ||
| + | set key off | ||
| + | plot "stats.txt" using 1:2 title "CO2" with lp pt 7, "stats.txt" using 1:3 title "CH4" with lp pt 7, "stats.txt" using 1:4 title "N2O" with lp pt 7, "stats.txt" using 1:5 title "HFC, PFC, SF6" with lp pt 7, "stats.txt" using 1:(sum [col=2:7] column(col)) title "Total" with lp pt 7 | ||
| + | set ylabel "Percent change since 1990" | ||
| + | set key outside bottom horizontal spacing 0.75 | ||
| + | plot "stats.txt" using 1:6 title "CO2" with lp pt 7, "stats.txt" using 1:7 title "CH4" with lp pt 7, "stats.txt" using 1:8 title "N2O" with lp pt 7, "stats.txt" using 1:9 title "HFC, PFC, SF6" with lp pt 7, "stats.txt" using 1:10 title "Total" with lp pt 7 | ||
| + | unset multiplot | ||
| + | #End | ||
| + | </pre> | ||
| + | |||
== Gnuplot Visualization == | == Gnuplot Visualization == | ||
<pre> | <pre> | ||
| − | set multiplot layout 1,2 columnsfirst title "Greenhouse Gas Emissions of United States (1990-2005)" | + | set multiplot layout 1,2 columnsfirst title "Greenhouse Gas Emissions of United States (1990-2005)\nData courtesy of The World Bank" |
set xtics 1990,5,2005 | set xtics 1990,5,2005 | ||
set ylabel "Thousand metric tons of CO2 equivalents" | set ylabel "Thousand metric tons of CO2 equivalents" | ||
Latest revision as of 00:10, 6 November 2012
Contents
Gnuplot Visualization v2.0
set multiplot layout 1,2 columnsfirst title "Greenhouse Gas Emissions of United States (1990-2005)\nData courtesy of The World Bank" set xtics 1990,5,2005 set ylabel "Thousand metric tons of CO2 equivalents" set key off plot "stats.txt" using 1:2 title "CO2" with lp pt 7, "stats.txt" using 1:3 title "CH4" with lp pt 7, "stats.txt" using 1:4 title "N2O" with lp pt 7, "stats.txt" using 1:5 title "HFC, PFC, SF6" with lp pt 7, "stats.txt" using 1:(sum [col=2:7] column(col)) title "Total" with lp pt 7 set ylabel "Percent change since 1990" set key outside bottom horizontal spacing 0.75 plot "stats.txt" using 1:6 title "CO2" with lp pt 7, "stats.txt" using 1:7 title "CH4" with lp pt 7, "stats.txt" using 1:8 title "N2O" with lp pt 7, "stats.txt" using 1:9 title "HFC, PFC, SF6" with lp pt 7, "stats.txt" using 1:10 title "Total" with lp pt 7 unset multiplot #End
Gnuplot Visualization
set multiplot layout 1,2 columnsfirst title "Greenhouse Gas Emissions of United States (1990-2005)\nData courtesy of The World Bank" set xtics 1990,5,2005 set ylabel "Thousand metric tons of CO2 equivalents" set key inside right center plot "stats.txt" using 1:2 title "Carbon Dioxide (CO2)" with lp pt 7, "stats.txt" using 1:3 title "Methane (CH4)" with lp pt 7, "stats.txt" using 1:4 title "Nitrous Oxide (N2O)" with lp pt 7, "stats.txt" using 1:5 title "Other (HFC, PFC, SF6)" with lp pt 7, "stats.txt" using 1:(sum [col=2:7] column(col)) title "Total" with lp pt 7 set ylabel "Percent change since 1990" set key inside left top plot "stats.txt" using 1:6 title "Carbon Dioxide (CO2)" with lp pt 7, "stats.txt" using 1:7 title "Methane (CH4)" with lp pt 7, "stats.txt" using 1:8 title "Nitrous Oxide (N2O)" with lp pt 7, "stats.txt" using 1:9 title "Other (HFC, PFC, SF6)" with lp pt 7, "stats.txt" using 1:10 title "Total" with lp pt 7 unset multiplot #End
Science Visualizations
R Visualization
time <- c(2*0:10,21) init <- 1 fin <- 220 i <- init:fin weight0 <- ifelse(ChickWeight[i,2] == 0, ChickWeight[i,1], NA) weight2 <- ifelse(ChickWeight[i,2] == 2, ChickWeight[i,1], NA) weight4 <- ifelse(ChickWeight[i,2] == 4, ChickWeight[i,1], NA) weight6 <- ifelse(ChickWeight[i,2] == 6, ChickWeight[i,1], NA) weight8 <- ifelse(ChickWeight[i,2] == 8, ChickWeight[i,1], NA) weight10 <- ifelse(ChickWeight[i,2] == 10, ChickWeight[i,1], NA) weight12 <- ifelse(ChickWeight[i,2] == 12, ChickWeight[i,1], NA) weight14 <- ifelse(ChickWeight[i,2] == 14, ChickWeight[i,1], NA) weight16 <- ifelse(ChickWeight[i,2] == 16, ChickWeight[i,1], NA) weight18 <- ifelse(ChickWeight[i,2] == 18, ChickWeight[i,1], NA) weight20 <- ifelse(ChickWeight[i,2] == 20, ChickWeight[i,1], NA) weight21 <- ifelse(ChickWeight[i,2] == 21, ChickWeight[i,1], NA) weights <- array(c(weight0, weight2, weight4, weight6, weight8, weight10, weight12, weight14, weight16, weight18, weight20, weight21), c(fin-init+1, 12)) meanweight <- colMeans(weights, na.rm = TRUE, dims = 1) plot(time, meanweight, xlim=c(0,21),ylim=c(40,271),main="Mean Chick Weights for Four Diets over Twenty-One Days",type="b") init <- 221 fin <- 340 i <- init:fin weight0 <- ifelse(ChickWeight[i,2] == 0, ChickWeight[i,1], NA) weight2 <- ifelse(ChickWeight[i,2] == 2, ChickWeight[i,1], NA) weight4 <- ifelse(ChickWeight[i,2] == 4, ChickWeight[i,1], NA) weight6 <- ifelse(ChickWeight[i,2] == 6, ChickWeight[i,1], NA) weight8 <- ifelse(ChickWeight[i,2] == 8, ChickWeight[i,1], NA) weight10 <- ifelse(ChickWeight[i,2] == 10, ChickWeight[i,1], NA) weight12 <- ifelse(ChickWeight[i,2] == 12, ChickWeight[i,1], NA) weight14 <- ifelse(ChickWeight[i,2] == 14, ChickWeight[i,1], NA) weight16 <- ifelse(ChickWeight[i,2] == 16, ChickWeight[i,1], NA) weight18 <- ifelse(ChickWeight[i,2] == 18, ChickWeight[i,1], NA) weight20 <- ifelse(ChickWeight[i,2] == 20, ChickWeight[i,1], NA) weight21 <- ifelse(ChickWeight[i,2] == 21, ChickWeight[i,1], NA) weights <- array(c(weight0, weight2, weight4, weight6, weight8, weight10, weight12, weight14, weight16, weight18, weight20, weight21), c(fin-init+1, 12)) meanweight <- colMeans(weights, na.rm = TRUE, dims = 1) points(time, meanweight, pch=2, type="b") init <- 341 fin <- 460 i <- init:fin weight0 <- ifelse(ChickWeight[i,2] == 0, ChickWeight[i,1], NA) weight2 <- ifelse(ChickWeight[i,2] == 2, ChickWeight[i,1], NA) weight4 <- ifelse(ChickWeight[i,2] == 4, ChickWeight[i,1], NA) weight6 <- ifelse(ChickWeight[i,2] == 6, ChickWeight[i,1], NA) weight8 <- ifelse(ChickWeight[i,2] == 8, ChickWeight[i,1], NA) weight10 <- ifelse(ChickWeight[i,2] == 10, ChickWeight[i,1], NA) weight12 <- ifelse(ChickWeight[i,2] == 12, ChickWeight[i,1], NA) weight14 <- ifelse(ChickWeight[i,2] == 14, ChickWeight[i,1], NA) weight16 <- ifelse(ChickWeight[i,2] == 16, ChickWeight[i,1], NA) weight18 <- ifelse(ChickWeight[i,2] == 18, ChickWeight[i,1], NA) weight20 <- ifelse(ChickWeight[i,2] == 20, ChickWeight[i,1], NA) weight21 <- ifelse(ChickWeight[i,2] == 21, ChickWeight[i,1], NA) weights <- array(c(weight0, weight2, weight4, weight6, weight8, weight10, weight12, weight14, weight16, weight18, weight20, weight21), c(fin-init+1, 12)) meanweight <- colMeans(weights, na.rm = TRUE, dims = 1) points(time, meanweight, pch=3, type="b") init <- 461 fin <- 578 i <- init:fin weight0 <- ifelse(ChickWeight[i,2] == 0, ChickWeight[i,1], NA) weight2 <- ifelse(ChickWeight[i,2] == 2, ChickWeight[i,1], NA) weight4 <- ifelse(ChickWeight[i,2] == 4, ChickWeight[i,1], NA) weight6 <- ifelse(ChickWeight[i,2] == 6, ChickWeight[i,1], NA) weight8 <- ifelse(ChickWeight[i,2] == 8, ChickWeight[i,1], NA) weight10 <- ifelse(ChickWeight[i,2] == 10, ChickWeight[i,1], NA) weight12 <- ifelse(ChickWeight[i,2] == 12, ChickWeight[i,1], NA) weight14 <- ifelse(ChickWeight[i,2] == 14, ChickWeight[i,1], NA) weight16 <- ifelse(ChickWeight[i,2] == 16, ChickWeight[i,1], NA) weight18 <- ifelse(ChickWeight[i,2] == 18, ChickWeight[i,1], NA) weight20 <- ifelse(ChickWeight[i,2] == 20, ChickWeight[i,1], NA) weight21 <- ifelse(ChickWeight[i,2] == 21, ChickWeight[i,1], NA) weights <- array(c(weight0, weight2, weight4, weight6, weight8, weight10, weight12, weight14, weight16, weight18, weight20, weight21), c(fin-init+1, 12)) meanweight <- colMeans(weights, na.rm = TRUE, dims = 1) points(time, meanweight, pch=4, type="b") points(2,250) points(2,235,pch=2) points(2,220,pch=3) points(2,205,pch=4) text(3.5,250,"Diet 1") text(3.5,235,"Diet 2") text(3.5,220,"Diet 3") text(3.5,205,"Diet 4") #Finished!
