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Merge pull request #550 from tobyhodges/ep04-relocate-instructor-note
move instructor notes about data checkpoint inline
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episodes/04-data-types-and-format.md

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sure the CSV wrote out properly, and that you can open it! If you want, try to bring it
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back into Python to make sure it imports properly.
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::::::::::::::::::::::: instructor
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## Processed Data Checkpoint
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If learners have trouble generating the output, or anything happens with that, the folder
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[`sample_output`](https://github.com/datacarpentry/python-ecology-lesson/tree/main/sample_output)
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in this repository contains the file `surveys_complete.csv` with the data they should generate.
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::::::::::::::::::::::::::::::::::
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## Recap
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What we've learned:

episodes/07-visualization-ggplot-python.md

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surveys_complete = surveys_complete.dropna()
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```
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::::::::::::::::::::::: instructor
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If learners have trouble generating the output, or anything happens with that, the folder
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[`sample_output`](https://github.com/datacarpentry/python-ecology-lesson/tree/main/sample_output)
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in this repository contains the file `surveys_complete.csv` with the data they should generate.
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::::::::::::::::::::::::::::::::::
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## Plotting with plotnine
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The `plotnine` package (cfr. other packages conform The Grammar of Graphics) supports the creation of complex plots from data in a

instructors/instructor-notes.md

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## 07-visualization-ggplot-python
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If the students have trouble generating the output, or anything happens with that, there is a file
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called "sample output" that contains the data file they should have generated in lesson 3.
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Answers are embedded with challenges in this lesson.
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Note `plotnine` contains a *lot* of deprecation warnings in some versions of python/matplotlib, warnings may need to be supressed with
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```python

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