Great R Packages for Health Data Analytics - Likert Plot: Livestream Recording

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Links/Timestamps from Video:
00:38 Introduction to the four “unusual” plots covered in this livestream series
02:58 Quick look at blog post that explains the code
03:38 Explanation of the Likert plot – how to interpret the output
08:20 Looking at the raw data in the dataset that we are going to plot
08:46 What if for an item, not all the levels are used? You need this workaround!
10:00 How to make the fake data we will attach for our workaround
11:30 rbind (row bind) the fake data onto the real survey data to “game the system”
12:00 Changing the class (data type) of the variables to be plotted from numeric to factor
13:40 Creating and attaching the factor levels to the factor variables so they show up in the legend
15:00 Now that we attached our factor levels, we remove the fake data from our workaround
16:04 Trim off columns from dataframe that will not be part of the plot
17:09 Adjusting the column names in the plot dataframe so the item statement comes out on the plot
18:03 Quickly breaking down the plot code
23:18 Use-case for the Likert plot – ordering item responses to user satisfaction surveys