Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.
Tag Archives: data abstraction
08
Apr
Apr
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.
25
Mar
Mar
Convert CSV to RDS is what you want to do if you are working with big data files in R GUI and want to improve efficiency. Read my blog post for an explanation and video demonstrations of this process!
18
Feb
Feb
GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.
16
Feb
Feb
Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!
14
Jan
Jan
Counting rows in SAS and R is approached differently, because the two programs process data in different ways. Read my blog post where I describe both ways.
13
Jan
Jan
Data science YouTube channel that brings you educational resources, career advice, live interactive sessions, and keeps you up-to-date in innovation and analytics – that’s what I have planned for 2022! Read my blog post for details.
07
Jan
Jan
Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!
06
Jan
Jan
Paid mentoring for data science can be worth the cost in certain circumstances – but not others. My blog post provides guidance on hiring a paid mentor.
26
Dec
Dec
Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!
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