good job. I would like to know more about the math, it looks interestig.
But I agree with other people, what exactly is this helping us? maybe this is interesting for highend players, they might find this interesting? But I am quite sure that they already know this.
I've been thinking of doing some sort of data analysis on a chess dataset, this is pretty cool.
Is there a way to use this to let lichess player find which top players play the most similar opening to them? Ideally with separate lists for black and white.
The idea is to find an "opening hero" that you can use as a role model for learning purpose.
Naming opening seqeunces by the material class they would reach at a position, is not naming one seqeunce but a whole bunch, because even the position name of the class they belong to, would have many arrangements.
But even if we were to name positions, not full game sequences to get there, there are many (:) chess players of high ranking at least (and lower probably) that would insist on naming the different ways to get there, and there may have a point.
I wonder why we need to be restrictive in what we name.. name the sequences on thing, name the positions another thing (the tendency is to name it for its relation to the most popular sequence to get there, at the time of position naming). and then name the classes of positions.. and perhaps revise carefully names already given to group of sequences, (or keep them so for historical value, and start naming classes of seqeucens on some objective criteria of the board along all those seqeunces).
how did this topic get there though? was naming getting in the way?
Here is the zero exchange Volume X-Zero. All 960 FEN's and moves without exchanges would be in the first volume.
X0-16P_4R_4N_4B_2Q (This is the 32 piece pawn combination of both black and white: zero exchanges.)
As soon as there is one exchange a new volume is created.
Volume 1, chapter names...
X1-15P_4R_4N_4B_2Q (1st exchange: Pawn)
X1-16P_3R_4N_4B_2Q (1st exchange: Rook)
X1-16P_4R_3N_4B_2Q (1st exchange: Knight)
X1-16P_4R_4N_3B_2Q (1st exchange: Bishop)
X1-16P_4R_4N_4B_1Q (1st exchange: Queen)
That's it for the zero exchange and the first exchange.
Now grab the ECO opening lines with their names and sort them in the above chapter folders.
Volume 2, with Chapter (folder ID numbers). In the folders you have your SAN / FEN codes.
X2-14P_4R_4N_4B_2Q (2nd exchange: 2 pawn gone)
X2-15P_3R_4N_4B_2Q (2nd exchange: 1P + 1R gone)
X2-15P_4R_3N_4B_2Q (2nd exchange: 1P + 1N gone)
X2-15P_4R_4N_3B_2Q (2nd exchange: 1P + 1B gone)
X2-15P_4R_4N_4B_1Q (2nd exchange: 1P + 1Q gone)
X2-15P_3R_4N_4B_2Q (2nd exchange: 1P + 1R gone)
X2-16P_2R_4N_4B_2Q (2nd exchange: 2 rooks gone)
X2-16P_3R_3N_4B_2Q (2nd exchange: 1R + 1N gone)
X2-16P_3R_4N_3B_2Q (2nd exchange: 1R + 1B gone)
X2-16P_3R_4N_4B_1Q (2nd exchange: 1R + 1Q gone)
X2-16P_4R_3N_3B_2Q (2nd exchange: 2 knights gone)
X2-16P_4R_3N_4B_1Q (2nd exchange: 1N + 1Q gone)
X2-16P_4R_4N_4B_2Q (2nd exchange: 2 Queens gone)
X2-16P_4R_3N_3B_1Q (2nd exchange: 1B + 1Q gone)
That's it for 2 exchanges on a chessboard. End of volume 2.
The process continues to the 30th exchange, which makes 30 chess volumes, with chapters.
Then start hand picking the best FEN's that fit the chapter piece names. Think of the chapters as a folder ID's.
Enjoy my sorting idea.
this is quite satisfying when you pull one node around
@Squid1127 said in #16:
> this is quite satisfying when you pull one node around
yes i agree that pulling a node and seeing the reaction kind of makes those links alive.. but it is also showing that some of the visualization representation is floating. That one should be clear about where the information comes from in the representation, and what is for our visual-interfacing satisfaction of perception..
both are important, I am not saying don't use visual "tricks" or added emphasis messaging, but we need to be clear about what is forced by the data information, and what is about our psychology looking at it.. I am myself no clear about those, and learning.. so I might learn from your take on that.
@beginnerdev said in #11:
> But I agree with other people, what exactly is this helping us?
This is about chess phenomena. I don't think it is fast food yet. It is about understanding what is out there already from a many games point of view (many players, and perhaps many generations).
Exactly what is the point?
@oortcloud_o Hey, not really a comment about the content but a tip/request about the structure: In your intro please introduce the topic a bit. you dive right into the details about rating filters and such but besides the title (which could mean quite a few things) at this point readers would not really be knowing yet what you are aiming to do and why. So I would bet that with a few words it becomes a nicer read!
