Plot moving average in R using ggplot2
Here is how to plot the moving average (rolling average or running average) in R using ggplot2 and add actual data in different ways. In that way, you can track the moving average and look at the data around that. Sometimes it helps to spot anomalies in time series.
How to get the sum by group in R
Here are multiple examples of getting the sum by group in R using the base, dplyr, and data.table capabilities. Depending on the situation, you can choose in your scenario what is the best solution.
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Multi-level axis labels in R plot using ggplot2
Here is an example of how to create multi-level axis labels in an R plot using ggplot2. You can separate them into 2 levels on a plot x-axis or more. It depends on the situation.
Send HTML emails from R by using Outlook
Here is a relatively simple way to send HTML emails from R by using Outlook. Besides Microsoft Outlook, there are options not mentioned in this post, but some of the ideas might be useful in those too. HTML emails from R are a great way to share insights by integrating plots or tables in the […]
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Color gradient in R jitter plot using midpoint or group
Here is how to use the color gradient in R jitter plot using midpoints or different gradients by a group. A good jitter plot in R makes it easier to view overlapping data points by categories. Color gradients might help to see differences better.
Value from next or previous row in R data frame using data.table
If you are working with large datasets and want to get value from the next or previous row in R, try to use the data.table. It is possible to do the same with base R or dplyr, but it might be too slow. Basically, this approach with the data.table to get value from the next […]
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How to modify plot title in R using ggplot2
Here is how to add and modify the plot title in R using ggplot2 in many ways. After adding the ggplot2 title and subtitle, you might want to change the alignment, color, and size, add a bold effect to all or a few words, and do other customizations. Here are multiple examples of that.
Jitter chart in Power BI with average line by categories
Here is how to create a jitter chart in Power BI with averages by categories and using only Power BI and DAX capabilities. No custom visualizations are necessary. A jitter chart makes it easier to view overlapping data points by categories.
How to add GIF animation to plot in R
Here is how to add GIF animation to the plot in R and draw extra attention. You can take a static ggplot2 plot and join it with GIF frames. As a result, you can create GIF in R with an infinite or finite loop.
NAs introduced by coercion in R
If you see the warning NAs introduced by coercion in R, don’t panic. It is not necessarily bad, but you should understand if that is acceptable. This warning message usually appears by converting non-numerical values to numerical values with functions like as.numeric or as.integer. It may also appear by creating plots where the correct data […]
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