Hi,
I'm trying to add plotly to my R-script visualization, and have tried the RADACAD guide at http://radacad.com/interactive-map-using-r-and-power-bi-create-custom-visual-part-1
I got the visualization working in PBI although the code probably looks awful. Now I'm trying to add the functionality from plotly, so I can see the values of the datapoints on my scatterplot.
I got some sample data where the table has the amazing name "Sheet1" and the columns I add to "values" are "Price", "Production", and "Date".
here is the code that I got working in PBI, and I'm trying to package into a custom R visual
library(ggplot2)
p = qplot(1:10, (1:10)^3)
g = ggplot(dataset, aes(x=Price, y=Production, color = Date))+
geom_point() +
theme(axis.text.x = element_text(size=14),
axis.text.y = element_text(size=14),
axis.title.x = element_text(size=16),
axis.title.y = element_text(size=16),
panel.background = element_rect(fill = "white",
colour = "777777",
size = 0.4, linetype = "solid"),
panel.grid.major = element_line(size = 0.08, linetype = 'dashed',
colour = "777777"),
panel.grid.minor = element_line(size = 0.08, linetype = 'dashed',
colour = "777777")) +
theme(legend.position="bottom") +
ylab("Production") +
xlab("Price") +
stat_smooth(method = "lm", formula = y ~ poly(x,2), size = 1, se = FALSE)
g$respect = TRUE
library(grid)
grid.draw(g)
Any input on how to convert the above into what needs to go in the example below is appreciated!
############### Library Declarations ###############
libraryRequireInstall("ggplot2");
libraryRequireInstall("plotly")
####################################################
################### Actual code ####################
g = qplot(Values$Data, data = Values, fill = Values$Type, main = Sys.time());
####################################################
############# Create and save widget ###############
p = ggplotly(g);
internalSaveWidget(p, 'out.html');
