Try Quests to earn FLOWNFL All Day Tournament [Round 1]
Introduction
Using Flow, programmers can easily create profitable crypto and crypto-enabled businesses. Consumers using Flow applications can retain ownership of their data, new types of digital assets can be created and traded on global open markets, and open economies can be built with the help of users.
Apps used by everyone from casual basketball fans to large corporations with stringent requirements can all be powered by Flow's smart contracts, which can be pieced together like Legos. Link
For football fans, the National Football League (NFL) has introduced NFT collecting and a blockchain-powered marketplace. It introduced a trading card game to the online marketplace based on Polygon and Flow.
Method
In this dashboard I tried to deep dive into NFL All Day NFTs marketplace to achieve the formerly goals of this dashboard. for this I used flow.core.ez_nft_sales table to calculate the following metrics by daily over the time:
> * Daily count of sales transactions, unique buyers and sellers. > * Daily amount of sales volume in Flow and $USD over the time and in total. > * Find the top 10 most sold out NFTs based on Players in Flow & $USD.
To find the top 10 most sold out players I jointed previously mentioned table with flow.core.dim_allday_metadata to extract the traits of players.
Conclusion
The NFL graphs for buyers, sellers, transaction count, and transaction volume all move in parallel and in line, with only numeric differences.
> * Total number of NFL buyers is 32k. > * Total number of transactions all day is 274k. > * Total number of NFL sellers is 24k. > * Total amount of NFL sale is $33.3M. > > > * N/A player, Green Bay Packers, Reception play type, Common rarity, Series1 and Player Game classification had the most sales tx count, unique buyers, and sellers. > * Brett Favre sold $2.38m, the Green Bay Packers $4.76m, Pass play type $9.4m, Common rarity $15.5m, Series1 $23.3m, and Player Game $28.8m. > > \
About:
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Author: HaM☰d
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Discord: 0xHaM☰d#8391
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Twitter: @arjmandi_hamed
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Email: h_arjmandi2012@yahoo.com
Welcome to the NFL All Day Tournament!
The Aims of the Current Dashboard is:
> * Create an analysis that shows top-line NFL All Day metrics and stats. > * Chart total sales and sales volume growth, user analysis, player. > * Track metrics by player and position, and see if there are any notable spikes in sales so far this preseason.
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Hey there 👋!
Firstly, I appreciate you sticking with it until the conclusion.
I’m Hamed, Ph.D. In Civil Engineering and interested in data science.
I've made many similar dashboards and visualizations since I started at Flipside in January.
Please have a look at my various contact information and let me know what you think.
:telescope: Findings:
As of above charts we can observed that since April till late of July the trend on sales count and volume in $USD were in a range state, but on the late of July a smooth upward trend figured out, but not really meaningful.
Daily cumulative count of sales transactions, unique buyers and sellers were smoothly growing, but the growth of amount of sales volume in cumulative state NOT significantly in growth.
:telescope: Findings:
The most sales tx count, unique buyer and sellers was recorded for N/A player, and Green Bay Packers team, Reception play type, Common rarity, Series1 and Player Game classification.
The most amount of sales volume was recorded for, Brett Favre with $2.38m, Green Bay Packers team with $4.76m,Pass play type with $9.4m, Common rarity with $15.5m, Series1 with $23.3m and Player Game classification with $28.8m.
:telescope: Findings:
Top 10 most sold out players base on total amount sales volume in Flow & $USD and sales transactions count are depicted in this section.
Breett Favre with more than $2.38m is in the first place of most sales volume tiers that followed by N/A with more than $1.97m sales.
Top 10 in terms of sales transactions count shows that N/A with more than 23% of total count of sales transactions are in the first place and followed by Mark Brunell with 11% of sales transactions count.
