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Miscellaneous minor edits #31

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016283d
Fix typo
brookslogan Dec 4, 2024
a6c717b
Fix typo
brookslogan Dec 4, 2024
ce587ba
Remove duplicate text
brookslogan Dec 4, 2024
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6 changes: 3 additions & 3 deletions slides/day1-afternoon.qmd
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Expand Up @@ -933,7 +933,7 @@ ggplot(snapshots |> filter(!latest),

## Backfill American edition

* Again, we can see a similar systematic underestimation problem for COVID-19 morality rates in CA. <!-- 2023-2024 -->
* Again, we can see a similar systematic underestimation problem for COVID-19 mortality rates in CA. <!-- 2023-2024 -->

* This plot also illustrates the [**revision process**]{.primary} - how the reported mortality changes & increases across multiple updates until it stabilizes at the final value (black line).

Expand Down Expand Up @@ -1907,7 +1907,7 @@ process_covid_data <- function(Date) {
* [**Tibble Creation**]{.primary}: Constructs a tibble with `geo_value`, `time_value`, `version`, and `case_rate_7d_av` to later compile into an `epi_archive` (you can think of an `epi_archive` as being a comprised of many `epi_df`s).


## Fetch Data - Process eange of dates
## Fetch Data - Process range of dates
* Note that `process_covid_data()` works on one date at a time.
* So now, we need a function that iterates over a date range and applies `process_covid_data()` to each date & combines the resulting tibbles into an `epi_archive`.
* We call this function `process_data_for_date_range()`...
Expand Down Expand Up @@ -1956,7 +1956,7 @@ Here's a summary of what `process_data_for_date_range()` does:
* Now, let's run the function & inspect the resulting `epi_archive` of 7-day avg. COVID-19 case counts:
* Expect building the archive to some time (enough for a cup of coffee or to meditate on life).

<!-- To wonder why you chose Expect building the archive to take a nontrivial amount of time (enough for a cup of coffee or to wonder why you chose coding in the first place). -->
<!-- Expect building the archive to take a nontrivial amount of time (enough for a cup of coffee or to wonder why you chose coding in the first place). -->
```{r run-fun-process-data-range}
#| echo: true
# Example usage: process data between Jan. 10, 2021, and Dec. 1, 2021
Expand Down