Update hubble e2e example to create visualization tutorial #1065
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sydneynotthecity
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sydneynotthecity
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I would also update the Create a Dashboard Analyzing Soroban Metrics to something like Create a Report in Looker Studio. That will give us the flexibility to either add sections for different tooling (Dune? python libraries? etc) while keeping the tutorial generic.
Also review Step #5 under Use Custom SQL... the markdown formatting is funky and blocks the incorrect words.
Lastly, should step #7 onward be its own section? Applying a Global Filter or something similar. These steps context switch without any transition which is confusing
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| title: "End to End Analysis Example" | |||
| title: "Creating Visualizations Tutorial" | |||
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nit: I would drop Tutorial
Maybe in future we add a Tutorials section this would go under
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| By the end of the tutorial you will have created two graphs that will help visualize temporary VS persistent contract data entry distribution and expiration. | ||
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| <img src={hubble_visualization_demo} width="1000" /> |
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Love the gif, it really shows the end user how they can customize their visuals.
wdyt about dropping the hubble_visualization_final? it's kinda weird to me to include both at the top, feels duplicative
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Hmm yeah I'll drop it
| <img src={hubble_visualization_demo} width="1000" /> | ||
| <img src={hubble_visualization_final} width="500" /> | ||
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| As you can see, persistent contract data entries account for roughly 25% of all contract data entries with the rest being temporary. There are also a lot more expired temporary contract data entries. This is expected because temporay entries cannot be bumped whereas persistent entries can be bumped/restored. Please see [State Archival - Contract Data Type Descriptions](https://developers.stellar.org/docs/learn/encyclopedia/storage/state-archival#contract-data-type-descriptions) for more information. |
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nit: I would reword the last sentence:
For more information, you can read about [State Archival and the Contract Data Lifecycle].
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| Note that between `2024-02-01` and `2024-06-30` there aren't that many expired persistent entries | ||
| Note that between `2024-02-01` and `2024-10-31` there aren't that many expired persistent entries |
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Why does this matter? Curious what we're trying to highlight with the note
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I was trying to warn that the differences between temp and persistent expiration is pretty large. But yeah that point isn't necessary for this tutorial
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Update hubble e2e example to create visualization tutorial
Creating Visualizations Tutorial