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[Soil Exploration activity] deleting the csv file of the soil data #29

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[Soil Exploration activity] deleting the csv file of the soil data #29

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8c44f54
deleting the csv file of the soil data
ehumph Aug 20, 2024
bfdec4f
Updating language
ehumph Aug 20, 2024
f193e3e
whoops, add biodigsdata package install
ehumph Aug 20, 2024
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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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