![]() ![]() Plots in ggplot2 (the geoms, facet_grid, time series plots, axis transformations, stratify, boxplot, slope charts).Basic data wrangling in dplyr ( mutate, filter, select, pipe operator %>%, summarize, dot placeholder, group_by, arrange, top_n).What I can do in R going into the weekend: 4634 days vs 13 years are two variables you can use in the same model, but because they are so different in size, the coefficients would probably be skewed). That way, coefficients aren’t tiny or enormous because of the nature of the independent variables (e.g. It’s best to normalize your data so that you work with values between 0 and 1.That said, too many variables will not improve the model and in some cases hurt it. You can add any number of independent variables with a coefficient attached to each to see the impact each has on the dependent variable.In order to do this, you take the existing data that you have and test all of the cases against this equation to find the most appropriate a and b in order to predict y values that you don’t have data for. It’s a way of figuring out the impact the independent variable x has on the dependent variable y. ![]()
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