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Merge pull request #893 from datacarpentry/update-source-url
update source URL
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config.yaml

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license: 'CC-BY 4.0'
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# Link to the source repository for this lesson
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source: 'https://github.com/datacarpentry/R-ecology-lesson-alternative'
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source: 'https://github.com/datacarpentry/R-ecology-lesson'
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# Default branch of your lesson
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branch: 'main'

episodes/working-with-data.Rmd

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Up until this point, we have been working with the `complete_old` dataframe contained in the `ratdat` package. However, you typically won't access data from an R package; it is much more common to access data files stored somewhere on your computer. We are going to download a CSV file containing the surveys data to our computer, which we will then read into R.
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Click this link to download the file: <https://datacarpentry.org/R-ecology-lesson-alternative/data/cleaned/surveys_complete_77_89.csv>.
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Click this link to download the file: <https://datacarpentry.org/R-ecology-lesson/data/cleaned/surveys_complete_77_89.csv>.
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You will be prompted to save the file on your computer somewhere. Save it inside the `cleaned` data folder, which is in the `data` folder in your `R-Ecology-Workshop` folder. Once it's inside our project, we will be able to point R towards it.
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