How to hide labels from series break out in Metabase dashboard - plot

I have a dashboard in Metabase with different plots and I would like to hide the labels of the series breakout in the "preview" as shown in the picture below.
I would like to hide these labels in the preview that the dashboard shows of the plots, but I would still like to have them when entering to visualize the full plot.
Not sure if it's possible but I believe that by hiding them I can have a cleaner visualization.

Related

How to show axis coordinate information on a bokeh plot?

I currently have Hover implemented but it's a hassle with so much information to show.
That's why I need to make an axis for my bokeh figure() that shows at the end the information of my axes, Date and Price.
I have tried with crosshair but it only shows information of elements that are painted on the screen, can this be done with bokeh?
Thank you.
info axis
I am trying to look for an option to make an axis that provides information on bokeh plots, I hope someone can guide me if this is possible, my attempts have not been successful.

Formatting Access Chart

I wish to incorporate a barchart in my access database report as a subreport. I have the data and the chart working in a subreport. The issue i have is that I only wish to show the actual barchart with no legend or title.
However no matter what I seem to try i still get large amounts of white space below and beside the chart where these components would normally appear. This means that the actual chart is relatively small within the space allowed for the subreport object.
How can I modify the report so that white space around the edges is removed or minimised.
Thanks

interactive pie chart to deep dive into each category (ideally recursively)

Is there any R package (htmlwidgets-like) to plot interactive pie charts? (please, do not get me started on the drawbacks of pie chart and its awful Tufte's data-ink ratio; the fact is that pie charts are familiar and actually appreciated by some audiences, so I want to -kind of- overcome pie chart's weaknesses with interactivity to tell a good story to an audience that would like to hear such a story using pie charts).
What I specifically want is to plot a pie chart that:
Has custom tooltips providing further details
With one click shows the details of clicked category (ideally using a sub-plot, like an another pie chart, showing how this category breaks down; even more ideally, recursively).
The closest thing I've found is amPie from rAmCharts. It has some tooltips and when you click a category slices it out. But it does not show any further detail of such category.

Bokeh - Adding a new plot on click of a button

I am using bokeh to plot some graphs. I will be using bokeh serve to serve a python notebook. My use case is as follows:
The page will load with a text box and button. Based on the data that is entered into the text box , I need to show different graphs on button click.
What is the best way to go about it. I have tried adding the plot to the current doc and such. but none of them seem to be working.
I am using bokeh 0.11.1

uiOutput not displaying with shiny server

I have a shiny app that is working fine locally, whether I open it in a window or the browser, but after putting it onto our shiny server I am getting some unexpected behavior.
I have two plots that get displayed using uiOutput. The first displays after loading a data file, and the second is just a zoomed plot which appears when the user selects a region from the first plot and double clicks. After putting this app on our server and using it in a browser, the first plot appears when the user uploads a file, but the second plot will not display (it is completely blank - no data points, axes or labels).
What is strange is that the data in this second plot can still be interacted with. I have included hover functionality so that when the user hovers over a point in the second plot, information gets displayed about the point in a small text window. Even though the second plot never appears, if I move the mouse over the region where the plot should be, this hover information gets displayed correctly. Depending on the size of the region selecting for zooming (i.e. if it is large), the zoomed image may not fit in the window making scrollbars necessary. If I select a large region for zooming, scrollbars appear as if the image is there, but the plot is as I said blank. I can render the zoomed plot as a pdf and that looks correct, but this isn't what I want.
As I said, everything works fine locally and this only happens after putting the app on our server. The same thing happens in Firefox, Safari and Chrome. This has to be something related to the shiny server but I have no idea what as both plots are being rendered in the same way.
I've managed to figure this out. In server.R when I generate the zoomed plot, I am doing two things. First, I am creating a pdf as follows:
pdf("z_plot.pdf")
plot()
...
dev.off()
The purpose of this is to have a plot that can be downloaded if required. After this, I am issuing the commands to render the plot in my shiny app. This is all being done in the same reactive expression, which for some reason works locally but when run on a shiny server only the pdf gets generated. I just had to separate the plotting commands into two reactive expressions and everything worked fine.

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