Since you don’t have datapoints at the intersections, the simplest solution is probably to get the areas above and below each line and use clipPaths to crop the difference. I’ll assume you’re using d3.svg.line to draw the lines that the areas are based on. This way we’ll be able to re-use the .x() and .y() … Read more
Let’s create some data: dd = data.frame(School_ID = c(“A”, “B”, “C”, “A”, “B”), Year = c(1998, 1998, 1999, 2000, 2005), Value = c(5, 10, 15, 7, 15)) Then to create a plot in base graphics, we create an initial plot of one group: plot(dd$Year[dd$School_ID==”A”], dd$Value[dd$School_ID==”A”], type=”b”, xlim=range(dd$Year), ylim=range(dd$Value)) then iteratively add on the lines: lines(dd$Year[dd$School_ID==”B”], … Read more
In updating to version 2.2.2 of ChartJS, I found that the accepted answer no longer works. The datasets will take an array holding styling information for the properties. In this case: var pointBackgroundColors = []; var myChart = new Chart($(‘#myChart’).get(0).getContext(‘2d’), { type: ‘line’, data: { datasets: [ { data: dataPoints, pointBackgroundColor: pointBackgroundColors } ] } … Read more
First, scale Rate by Rate*max(df$Response) and modify the 0.9 scale of Response text. Second, include a second axis via scale_y_continuous(sec.axis=…): ggplot(df) + geom_bar(aes(x=Year, y=Response),stat=”identity”, fill=”tan1″, colour=”sienna3″)+ geom_line(aes(x=Year, y=Rate*max(df$Response)),stat=”identity”)+ geom_text(aes(label=Rate, x=Year, y=Rate*max(df$Response)), colour=”black”)+ geom_text(aes(label=Response, x=Year, y=0.95*Response), colour=”black”)+ scale_y_continuous(sec.axis = sec_axis(~./max(df$Response))) Which yields:
put colour inside the aes like this: d<-data.frame(x=1:5, y1=1:5, y2=2:6) ggplot(d, aes(x)) + geom_line(aes(y=y1, colour=”1″)) + geom_line(aes(y=y2, colour=”2″)) + scale_colour_manual(values=c(“red”, “blue”)) but I recommend this way: d2 <- melt(d, id=”x”) ggplot(d2, aes(x, value, colour=variable)) + geom_line() + scale_colour_manual(values=c(“red”, “blue”))
The StandardXYItemLabelGenerator should work; there’s an example here. Addendum: The labels you can see in the picture are in a separate string array. Such labels may be incorporated in the XYDataset, as shown in LabeledXYDataset below. Because none of the features of StandardXYItemLabelGenerator are used, a custom implementation of XYItemLabelGenerator is sufficient. The XYItemRenderer controls … Read more