graaf | pure CSS grids for designing your new projects | Grid library
kandi X-RAY | graaf Summary
kandi X-RAY | graaf Summary
A collection of pure CSS grid overlays for designing your new projects: graaf.space.
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QUESTION
I am currently writing my thesis and I have one thing I could not solve by searching the web. I have some datasets and I have to compare the results before and after, and I would like to visualise it by comparing two sets of histograms (both sets contain 5 plots). The think it is a really easy problem for you guys but a little help is still needed.
I tried a few thing but I keep ending up by messing up the ggplot. I know that I probably have to add two small lines of code but I am really struggling to find them.
I have got the following code that works for the time being.
...ANSWER
Answered 2019-Oct-25 at 14:00Edited to add provided data.
Adding a density curve to fit a histogram can be tricky - the key is setting the density to ..count..
and making sure you're multiplying it by the number of bins
you are using in your histogram.
Here's some dummy data and a couple examples:
QUESTION
I have a list with some fake sale notification elements. They all have the same class. With the code I got, all notifications are shown at the same time but I only need to show 1 random notification each time. How can I do that?
This is my code at the moment:
PHP to generate the elements:
...ANSWER
Answered 2019-Oct-22 at 08:47You need to pass random inside setInterval
and hide all element same class toggled.
Please try. Now you need to detect if element is alreay toggle.
QUESTION
I am trying to make a function. The function has to provide me a list of piecharts after i give it a data frame with grades.
I am failing to see what's going wrong, if you could give me a little push so I can get on with my report :)
...ANSWER
Answered 2019-Oct-01 at 15:01The fifth and sixth columns in the dataframe are of character
class. For you to perform numeric operations like length
, you would need to pass a numeric
value. Also, some of the rows in fifth column have 'NA' values. We would also need to handle that.
Perform the following on your dataframe.
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