Tutor needed for a quick session: Visualisation & Markdown

This sounds like something we can do here if no one closer to your TZ can help (I'm PST, so that's a stretch.)

To get you going, let's set aside the details of how to convert it to Word (presentation should be the final step) and how to format the data in markdown and focus on the basics of the data, the object that contains it, what transformations are needed (sorting?) and the kind of plots sought.

To get started, see the FAQ: How to do a minimal reproducible example reprex for beginners. The data doesn't have to be all your data, or even representative data—just enough to illustrate the task.

Here's an example, using the built-in. I'm assuming you're working in RStudio.

suppressPackageStartupMessages({
  library(dplyr)
})

head(mtcars)
#>                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
#> Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
#> Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
#> Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
mtcars %>% arrange(-desc(mpg)) %>% head()
#>                      mpg cyl disp  hp drat    wt  qsec vs am gear carb
#> Cadillac Fleetwood  10.4   8  472 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   8  460 215 3.00 5.424 17.82  0  0    3    4
#> Camaro Z28          13.3   8  350 245 3.73 3.840 15.41  0  0    3    4
#> Duster 360          14.3   8  360 245 3.21 3.570 15.84  0  0    3    4
#> Chrysler Imperial   14.7   8  440 230 3.23 5.345 17.42  0  0    3    4
#> Maserati Bora       15.0   8  301 335 3.54 3.570 14.60  0  1    5    8