Flow (FLOW) is a high-performance blockchain specifically for creating NFTs, massive crypto games, and apps. Unlike general-purpose blockchains such as Ethereum, Flow is built to efficiently scale for potentially billions of people interacting with NFTs like in-game items. \n

**Created by Dapper Labs, the same team behind NBA Top Shots and the infamous CryptoKitties blockchain game, Flow is a project in the right place at the right time. The NFT market is booming, and enormously popular social media platforms like TikTok and Twitter are rolling out NFT features. \n **

**Teams across major sports leagues, ranging from the NBA and NFL to MotoGP and esports, have debuted NFT initiatives and collectibles for fans. So, with NFTs already reaching mainstream status, Flow seems bound to succeed. \n **

This guide explains Flow blockchain, how it works, and why the FLOW token might deserve a place in your portfolio.

It’s a blockchain-based platform where you can own moments from NBA games and your favorite NBA players, all while maintaining blockchain security. It is based on Flow blockchain. Flow blockchain is built for new generation of apps and digital assets.

Top shot moments from your favorite NBA players have been transformed into non-fungible tokens in this collection. An NFT is a digital asset that is used to represent real-world artefacts such as art, music, in-game items, and films.

You can view the moments you like and their prices are available on the NBA Top Shot website. These moments are available for purchase and sale. It appears complicated until you visit the website and discover how simple it is.

These moments are very different from playing cards. The difference between playing cards and these video highlights is that the playing cards are physical rather than being in digital form. This is a stumbling hurdle for individuals who can’t get past the tangible component of things, but that’s just a factor of being old compared to the youth, who have everything on their phones.

qustion

Create an analysis on NBA Top Shots moments and attempt to uncover any correlations between a specific category and sales volume.

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This week, focus specifically on the play_type column in the flow.core.dim_topshot_metadata table. What play_types do users hold most, and how much volume in sales do these play_types generate? Include any other transactional metrics you can think of

Method

I have used the main data in these tables to get the following tables and charts

(flow.core.fact_nft_sales -)(- flow.core.dim_topshot_metadata)

And I also used this contract address to access play types (('A.0b2a3299cc857e29.TopShot'))

Description

The top left graph shows the play types that are popular with users and users have held them

The highest percentage and number of rims belong to it, which means that many users are interested in this and the collection is popular among users

Description

The bar chart above shows the number of Yoink sellers belonging to each plat types

As you can see, the highest number of unique sales belongs to rim and the lowest number of unique sellers belongs to 2 pointer

Description

The bar graph above shows the number of unique buyers belonging to each play type, as you can see, the highest number of unique purchases belongs to RIM first, then to 3-pointer and assist. The lowest number of unique buyers belongs to 2 pointer

Description

The chart above shows the daily sales of each of these play types since April 1st. On May 6th, sales have increased greatly, and this increase in sales is for RIM, which is responsible for a large percentage.

Description

The upper right bar chart shows the number of unique nfts belonging to each play types

The upper right bar graph shows the number of unique nfts belonging to each play types, the highest number belongs to RIM, the lowest number to 2POINTER

Description

The above bar chart shows the sales and sales volume of each play types, this volume is in usd, as you can see in the bar chart, the highest sales volume belongs to RIM, then to 3pointer and assist, the lowest sales volume also belongs to is to 2 pointer

Description

The table on the upper side is the general information of the sales of whales and normal users in play type, the graph on the right is the daily unique sales of whales and normal users and the comparison of the two.

Conclusion

The homogenizer that you saw in the analysis above, Rim was at the top among other paly types, from all the angles that we analyzed.

Among other play types, 2pointer was placed at the end of the table in all the analyzes we did, in terms of the number of unique sales, unique purchases, sales volume, popularity, unique supply, etc.