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chore: fix recent blog heading casing (#8502)
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lostmygithubaccount authored Feb 29, 2024
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16 changes: 16 additions & 0 deletions docs/_freeze/posts/wow-analysis/index/execute-results/html.json

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8 changes: 4 additions & 4 deletions docs/posts/wow-analysis/index.qmd
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---
title: "Analysis of World of Warcraft Data"
title: "Analysis of World of Warcraft data"
author: "Tyler White"
error: false
date: "2024-02-29"
Expand All @@ -25,7 +25,7 @@ venturing into new territories and advancing beyond the former level cap of 70.
We'll determine who logged in the most, who leveled from 70 to 80 the fastest, and
what activities these players engaged with based on zones. Let's get to work.

### Getting Started
### Getting started

Ibis ships with an `examples` module, which includes this specific data. We'll use DuckDB
here, but this is possible with other backends, and we encourage you to experiment.
Expand All @@ -42,7 +42,7 @@ wowah_data = ex.wowah_data_raw.fetch()
wowah_data
```

### Getting Table Info
### Getting table info

Let's learn more about these fields. Are there any nulls we should consider? We can
use the [`info`](../../reference/expression-tables.qmd#ibis.expr.types.relations.Table.info)
Expand Down Expand Up @@ -205,7 +205,7 @@ zones_pivot
If they have a high value in the "Zone" column, they were likely questing. Other
players opted to venture into dungeons.

## Next Steps
## Next steps

It's pretty easy to do complex analysis with Ibis. We churned through over 10 million rows
in no time.
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