Revision session 1.1 and 1.2

[KyriJanssen]

Added slides part 1.1
Revisions rmd files session 1.1 and 1.2

[github-actions]

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The following changes were observed in the rendered markdown documents:

 01-intro-to-r.md                    |  14 +-
 02-data-structures.md               |  93 ++++-
 1-Intro-to-R-slides.html (new)      | 794 ++++++++++++++++++++++++++++++++++++
 18-import-and-visualise-osm-data.md |   4 +-
 md5sum.txt                          |   4 +-
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⏱️ Updated at 2024-05-07 09:59:52 +0000

[cforgaci]

Thanks @KyriJanssen! I left some comments and suggestions.

[cforgaci]

In general, I would remove references to dayparts (e.g., "this morning") as the lesson should fit any other set-up (e.g., run in four afternoons) when run by others.

[cforgaci]

Is this callout deleted entirely? What's the reason?

[cforgaci]

Suggested change

	You can also inspect vectors with `str()` function. In factor vectors,
	it shows the underlying values of each category.
	You can also see the structure in the environment tab of RStudio.
	You can also inspect vectors with the `str()` function. In factor vectors,
	it shows the underlying values of each category.
	The structure of an object can also be examined in the Environment tab of RStudio.

[cforgaci]

Suggested change

	#in order to see how many values are missing in our with_na vector, we can use the sum function
	# to see how many values are missing in our with_na vector, we can use the sum function

[cforgaci]

Suggested change

	So far we've looked on individual values, such as x <- 100. Now we will move to a data structure
	called vectors. Vectors are arrays of values of the same data type. So now we combine multiple values into one object:
	x <- c(100, 200)
	So far we've looked at individual values, such as x <- 100. Now we will move to a data structure
	called vectors. Vectors are arrays of values of the same data type. So now we combine multiple values into one object:
	x <- c(100, 200)