Thank you both for your response. As the names suggest, I am plotting the
sales & price data for items over time to understand the how certain items may
be more responsive than others to price changes.
Another way of displaying this information on the same chart as the one showing
sales, would be to scale the price data between 0 and 1 (1 -
current_price/max_price) and use a geom_tile (?) to display it. In terms of the
axes, x axis would still be time, y axis would be constant (top of the chart)
and fill would change based on the scaled price (i.e. discount).
Would it be possible to do this in ggplot2?
df <- melt(df, id=c('time', 'sid'))
ggplot(df, aes(time, value, colour=sid)) +
geom_line(data = subset(df, variable=='sales')) +
geom_point(data = subset(df, variable=='price')) + <--- replace with
geom_tile?
facet_wrap(~sid + variable, ncol=1, scales='free_y')
Thanks.
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