darter | : detective : Dart / Flutter VM snapshot analyzer | JSON Processing library

My data is comprised of a column of fish counts with the corresponding when and where of each catch.

My original question can be seen here (Automating a ggplot for each level in a group), but I thought I'd ask it differently to leave it open for many different ways to answer this question rather than a "how to" question to fix my poor attempt.

I'd like to make the process of creating a time series plot like the one below quicker/automatic (i.e., doesn't require the user to enter one species name at a time). Perhaps with an "if" loop. Something that tells R to cycle through all the unique common names in the data and print (or save to png) a plot using the code below (with the "common_name" of each species as the title of their respective plot). If there isn't enough data for a plot, R should print a message: "Not enough data for a plot", or something.

Here is a sample of my data (as you can see, there are over 100 species to make a plot of). This data sample shows only 3 species, 5 sites out of 47, and 3 years out of 16 years worth of data.

I want to create a python file that returns all the shortest paths given a certain dart score. Import to note is that the last dart throw should be a double or a double bulls-eye (50).

This is what I got sofar