This idea has been spurred by this work at Five Thirty Eight.
I'm not entirely sure that they used R, but the chart appears in a similar fashion to their other data viz. I looked around here, but couldn't find anything directly relating to this.
Is this kind of plot possible using ggplot?
Thanks for any and all help!
They do use R but their ggplot2 theme is semi-proprietary and they don't say what they use. People have attempted to recreate the theme
https://github.com/jrnold/ggthemes
After the graphs are created it then goes through an illustrative step to bring graphs together and make them more of a story.
Related
I am implementing a R shiny with a plot panel implemented by library(ggplot2). If there are 12 plots, the layout looks great. Please check below.
12-plot layout
However, if I increase the plot number to 70, then each plot looks being compressed (pls see below). Is that possible I can keep the size of each plot fixed? Thank you so much!
enter image description here
Is there another way to approach this? For instance, can you group your data by two categorical variables and use on for colouring and the other for facetting? In that way, you may be able to reduce the number of facets, and stick with the larger facet size, while still conveying all relevant information? 70 facet plots is a lot!
Is this more of a QC thing? For QC, I tend to break it into groups by condition as Paul was suggesting. The reason is that within a condition, things should be really similar. Outside a condition, all bets are off. When I do this for genomics data, I tend to use “pairs” customized to my liking.
What don’t you like about the 70 sample display? Simply the change in aspect ratio? IMO, these are the things I don’t like about ggplot. You can make these plots using base R and then place them on a page manually using par or layout. For that matter, you can do the same with ggplot and use ggarrange or a different manual layout function to place the plots. All wrapped in a for or apply of course.
The other things I like to do when I have a LOT of QCs to look through is create a movie. I can use the forward/back buttons and go through a lot quickly. I like the idea of having this in a dashboard, nice one!
you could also try coord_fixed(ratio= ), not sure if that will work with faceting or not
Finally, I have made a movie-like visualization for those 70 plots using the plot_ly function in R package "plotly".
I made a heatmap on R and most of it is one colour. I have two columns of data which showed up as various colours, but the rest of it is red.
Does anyone know how to increase the "resolution" of this? I don't mean anything about how to make the image more clear (which is why I think I'm having trouble searching for info on it). I mean, how do I make my heatmap more meaningful and not all mostly one colour.
Thanks and sorry if this has been answered somewhere else. I think I don't know the key term I need to search properly.
Edit:
Here is the code I used so far (heatdata is my matrix):
heatmap <- heatmap(heatdata,Rowv=NA,Colv=NA,col=cm.colors(256),scale="row")
I'm looking for the equivalent of:
ggplot(df,aes(x=date,y=var1,**group=col1,colour=col1**))+geom_line()
in the googleVis package.
Anyone knows how to do this? I only found examples of differently colored lines if they are mapping different columns from the dataframe.
thanks!
#mtoto, I hope my answer here on ggplot2 equivalent of 'factorization or categorization' in googleVis in R can help. Have you taken a look?
Using roles you can specify specific styles for your data. It involves adding another column with the style detail. So if plotting varx, you need to add the column varx.style where you will set the colors.
I do not know ggplot well enough to know if this is the exact fit of what you want, but please take a look at my figures and links in that answer.
I'm currently working on forecasts with different models and i was wondering if it is possible to create a line graph in R (i'm currently working with ggplot2, but i'd gladly consider other packages) that has one colour for the actual values and afterwards changes the colour to highlight how the forecast developed?
Thanks in advance!
edit: Thank you for your suggestions but i used a different approach and plotted the forecast together with the real data in one plot which visualizes it better imo
Yes, this is possible. It's typically done by graphing two lines of different colors, but they meet at a point so there is an illusion that there is only one line.
I am trying to render 739455 data point on a graph using R, but on the x-axis I can not view all those numbers, is there a way I can do that?
I am new to R.
Thank you
As others suggested, try hist, hexbin, plot(density(node)), as these are standard methods for dealing with more points than pixels. (I like to set hist with the parameter breaks = "FD" - it tends to have better breakpoints than the default setting.)
Where you may find some joy is in using the iplots package, an interactive plotting package. The corresponding commands include ihist, iplot, and more. As you have a Mac, the more recent Acinonyx package may be even more fun. You can zoom in and out quite easily. I recommend starting with the iplots package as it has more documentation and a nice site.
If you have a data frame with several variables, not just node, then being able to link the different plots such that brushing points in one plot highlights them in another will make the whole process more stimulating and efficient.
That's not to say that you should ignore hexbin and the other ideas - those are still very useful. Be sure to check out the options for hexbin, e.g. ?hexbin.