tgf | Terragrunt frontend that allow execution | Continuous Deployment library

I have two dataframes, one is the original data:

I have the following 3 lists:

I am trying to show multiple sets of different polylines (each set represents one cycling route with its own start and endpoint).

There are ten routes in total I am bringing in from a JSON file. The problem is the map is consolidating all the individual ten routes into one mammoth polyline.

So It is sort of connecting them all together (you can just make out the very straight line connecting between each route and only one startCap and endCap icon).

I would expect/want to see ten different startCap and endCap icons and spaces between each polyline set.

So how do I make the map show each polyline route as distinct routes?

I am using flutter_polyline_points to decode the polyline route to the google map.

Code below and the JSON is on the live link to make it easy to emulate if that helps.

In essence in terms of steps :

1. I create the google map and have one main central marker on it.

2. I then bring in ten routes from a JSON file. These are ten objects in an array called Segments. Each object has a unique id I use for the PolyLineid and a unique polyline set of points in a string. So I bring in the JSON and then.

3. iterate over each object and decode the polyline string to polyline coordinates which I attempt to then add to the map as multiple PolyLines.

Also to here is the output I am seeing to bring the issue to life.

I have a PCA plot that ive been working on a while now (I am not very good at R but this is teaching me a lot, just trying to make this one plot). I am now at the stage where the plot looks how we want it, now we just want to draw ellipses around the replicates. (see plot below)

Ideally, the ellipses would have the border colour the exact same colour and be filled in with a mostly transparent version of that same colour (see example plot below)

Many people have suggested using ggbiplot, which i tried but i found the manual very sparse in detail and i didnt really understand how to control the plot. To generate the plot i used the following code:

Sorry in advance if the post isn't clear. So I have my dataframe, 74 observations and 43 columns. I performed cluster analysis on them. I then got 5 clusters, and assigned the cluster number to each respective row. Now, my df has 74 rows (obs) and 44 variables. And I would like to plot and see in each cluster what variables are enriched and what variables are not, for all variables.

I want to achieve this by ggplot. My imaginary output panel is to have 5 boxplots per row, and 42 rows plots, each row will describe a variable measured in the dataset.

Example of the dataset (sorry its very big so I made an example, actual values are different)