jahyeonjee22-Ys3I8X
Team11-miniproject2-Fidenza analysis
Nov 17, 2023 - Fidenza is by far my most versatile algorithm to date. Although the program stays focused on structured curves and blocks, the varieties of scale, organization, texture, and color usage it can employ create a wide array of generative possibilities.
BADM554 - MINI#2 extra credit
Nov 28, 2023 - If the mints are the top, then would they also be the top sales nfts? If so, how would they behave in sales?
Mini#3-Individual
Dec 2, 2023 - Part 3 - (8 points) Prepare data from YOUR selected NFT project sales data from project#2 (not Fidenza) 1) You will pull data from flipsidecrypto for the project you analyzed in mini project#2 and put that into your MongoDB cluster. You will use python on a collab notebook or similar infrastructure. Do not use Knime for this. 2) (2 points) Write a query on flipside to list all the secondary sales of the project you worked with for the second half of project#2. Select all attributes for this query, but leave out any one attribute. Discuss with your group and make sure your other members leave out different attributes. Pick some attribute from the end of the column list, so you don't miss any important attributes. For example, if there are five attributes in the secondary sales query output and three members in the team– A,B,C.D,E Member 1 could select A,B,C,D Member 2 can select B,C,D,E Member 3 can select C,D,E,A * Total 33 columns except ORIGIN_FUNCTION_SIGNATURE for me.
