Analyzing data distributions

Assignment Help Programming Languages

Reference no: EM132398982

Mini-homework 5: Tidy Gradebook

How to submit

To submit your mini-homework, follow the two steps below. Your homework will be graded for credit **after** you've completed both steps!

1. Save, commit, and push your completed R Markdown file so that everything is synchronized to GitHub. If you do this right, then you will be able to view your completed file on the GitHub website.

2. Knit your R Markdown document to the PDF format, export (download) the PDF file from RStudio Server, and then upload it to *Mini-homework 5* posting on Blackboard.

Cheatsheets

You are encouraged to review and keep the following cheatsheets handy while working on this mini-homework:

* [dplyr cheatsheet][dplyr-cheatsheet]

* [ggplot2 cheatsheet][ggplot2-cheatsheet]

* [RStudio cheatsheet][rstudio-cheatsheet]

* [R Markdown cheatsheet][rmarkdown-cheatsheet]

* [R Markdown reference][rmarkdown-reference]

[dplyr-cheatsheet]
[ggplot2-cheatsheet]
[rstudio-cheatsheet]
[rmarkdown-reference]
[rmarkdown-cheatsheet]

Mini-homework 6: Analyzing data distributions

How to submit

To submit your mini-homework, follow the two steps below.

Your homework will be graded for credit **after** you've completed both steps!

1. Save, commit, and push your completed R Markdown file so that everything is synchronized to GitHub. If you do this right, then you will be able to view your completed file on the GitHub website.

2. Knit your R Markdown document to the PDF format, export (download) the PDF file from RStudio Server, and then upload it to *Mini-homework 6* posting on Blackboard.

Cheatsheets

You are encouraged to review and keep the following cheatsheets handy while working on this mini-homework:

* [dplyr cheatsheet][dplyr-cheatsheet]

* [ggplot2 cheatsheet][ggplot2-cheatsheet]

* [RStudio cheatsheet][rstudio-cheatsheet]

* [R Markdown cheatsheet][rmarkdown-cheatsheet]

* [R Markdown reference][rmarkdown-reference]

[dplyr-cheatsheet]
[ggplot2-cheatsheet]
[rstudio-cheatsheet]
[rmarkdown-reference]
[rmarkdown-cheatsheet]

Mini-homework 7: Who busts the Mythbusters?

How to submit

To submit your mini-homework, follow the two steps below. Your homework will be graded for credit **after** you've completed both steps!

1. Save, commit, and push your completed R Markdown file so that everything is synchronized to GitHub. If you do this right, then you will be able to view your completed file on the GitHub website.

2. Knit your R Markdown document to the PDF format, export (download) the PDF file from RStudio Server, and then upload it to *Mini-homework 7* posting on Blackboard.

Cheatsheets

You are encouraged to review and keep the following cheatsheets handy while working on this mini-homework:

* [dplyr cheatsheet][dplyr-cheatsheet]

* [ggplot2 cheatsheet][ggplot2-cheatsheet]

* [RStudio cheatsheet][rstudio-cheatsheet]

* [R Markdown cheatsheet][rmarkdown-cheatsheet]

* [R Markdown reference][rmarkdown-reference]

[dplyr-cheatsheet]
[ggplot2-cheatsheet]
[rstudio-cheatsheet]
[rmarkdown-reference]
[rmarkdown-cheatsheet]

Attachment:- Assignment Details.rar

Reference no: EM132398982

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