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 juliasilge.com
Health Care Indicators in Utah Counties | Julia Silge
| | albert-rapp.de
Correlation heat maps with {ggplot2} - Albert Rapp
5.3 parsecs away

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| | I show you how to create a correlation heat map with {ggplot2}, how to avoid using the wrong colors and how to use some nice variations of standard heat maps.
| | dm13450.github.io
Currency Hedging and Principal Component Analysis | Dean Markwick
5.1 parsecs away

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| | Principal component analysis (PCA) reduces a dataset to its main components. When we apply it to a dataset of different currencies it helps us understand how each currency drives the overall portfolio and what currency might be a common factor.
| | statsandr.com
Correlation coefficient and correlation test in R - Stats and R
4.9 parsecs away

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| | Learn how to compute a correlation coefficient (Pearson and Spearman) and perform a correlation test in R
| | pillar.r-lib.org
Get a glimpse of your data - glimpse pillar
28.4 parsecs away

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| glimpse() is like a transposed version of print(): columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible. (And it always shows the underlying data, even when applied to a remote data source.) See format_glimpse() for details on the formatting.