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ehumph authored Aug 20, 2024
2 parents 38d90f9 + f193e3e commit f48f4f7
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13 changes: 3 additions & 10 deletions 09-data_exploration.Rmd
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Expand Up @@ -32,14 +32,7 @@ This activity will teach you how to use the AnVIL platform to:

We will use the `BioDIGS` package to retrieve the data. We first need to install the package from where it is stored on GitHub.

```{r, message = FALSE, warning = FALSE, echo = FALSE}
library(readr)
soil.values <- read_csv(file = "soil_testing_data.csv")
```


```{r, message = FALSE, warning = FALSE, eval=F}
```{r, message = FALSE, warning = FALSE}
devtools::install_github("fhdsl/BioDIGSData")
```
Expand All @@ -48,7 +41,7 @@ Once you've installed the package, we can load the library and assign the soil t

dataset_object_name <- stored_BioDIGS_dataset

```{r, message = FALSE, warning = FALSE, eval=F}
```{r, message = FALSE, warning = FALSE}
library(BioDIGSData)
Expand Down Expand Up @@ -205,7 +198,7 @@ soil.values.clean %>%
dplyr::summarize(Mean = mean(As_EPA3051))
```

Now we know that the mean arsenic concentration might be different for each region, and appears higher for the Baltimore City samples than the Montgomery County samples.
Now we know that the mean arsenic concentration might be different for each region. In particular, the mean arsenic concentration appears higher for the Baltimore City samples than the Montgomery County samples.

::: {.reflection}
QUESTIONS:
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