This article describes how to go from a crosstab table in Displayr...
...to an editable PowerPoint snake chart:
Note: you can create a Snake chart in Displayr (Visualization > Line > Snake with Tests) and export it to PowerPoint as an image. PowerPoint doesn't support a Snake Chart type output. Nevertheless, this type of output is often used in reporting. Researchers have found a workaround involving restructuring the data and charting it as a Scatter plot. This article contains the steps to automate the process.
Method
- Create a crosstab selecting the question you wish to show as lines in Columns (age in the table above).
- From the toolbar, go to Calculation > Custom Code and draw an output on the Page.
- Update and input the below code into the R Code editor. You must update the table name in row 2 of the code. You can find the table's name by selecting the table and selecting Copy > Copy Name from Tools .
#specify table
thetab=table.Income.by.Age
#load reshape
library(reshape2)
#remove nets
thetab=thetab[rownames(thetab) != "NET",colnames(thetab) != "NET" ]
#melt the table to long format
thetab.m=melt(thetab)
#create a similar table for the axes
axis.m=thetab.m
#change the values to the sequential axis values based on how many columns were melted
axis.m[,"value"]=seq(NROW(axis.m)/length(unique(axis.m$Var2)),1,-1)
#merge the two long data together
merged=Cbind(thetab.m,axis.m)
#make the data wide keeping pcts long but axis values into individual columns
wide = dcast(merged, thetab.m.Var2 + thetab.m.Var1 + thetab.m.value ~ axis.m.Var2, value.var="axis.m.value")
#remove the unneeded column names
wide.2 = wide[,!colnames(wide) %in% c("thetab.m.Var2")]
wide.2[,-1] - The above code will reformat the table into the correct format for the desired chart type.
- Select the output, go to Appearance > Powerpoint Export > Format, and select Microsoft Chart.
- Set Export as to XY Scatter Lines (or another Scatter type).
- Go to Share > Export Pages > PowerPoint > Create New Document > Export.
- Open the exported file in PowerPoint and re-format the chart.
Next
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