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Need lesson intro in index.md #5

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jt14den opened this issue Jun 25, 2020 · 4 comments
Closed

Need lesson intro in index.md #5

jt14den opened this issue Jun 25, 2020 · 4 comments
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help wanted Extra attention is needed type:enhancement Propose enhancement to the lesson

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@jt14den
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jt14den commented Jun 25, 2020

On lesson homepage, the lesson needs an introduction to the goals of the lesson, see:

A statement of the intended audience and objectives for the lesson as a whole is needed.

@jt14den jt14den added help wanted Extra attention is needed type:enhancement Propose enhancement to the lesson labels Jun 25, 2020
@momiji15
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momiji15 commented Nov 9, 2020

I'm going out on a limb and taking a stab at this intro. Please add feedback!

This lesson is designed for librarians and library professionals with little or no prior experience with R to be more acquainted with the programming language. Having a level of familiarity with R is beneficial in assisting patrons with requests regarding the cleaning, formatting, and visualization with data along for librarians and library professionals themselves when it comes to data they intend to use and analyze for their internal workflows.

Learners will become familiar with both R and R Studio[(https://rstudio.com/)] software environment. The R Studio environment allows one to run their code and see the immediate results of one's code separate panels. While R originally started as a being a statistical programming language, R is used for various applications such as data visualization, deploying of web applications, and creating reproducible documentation. Given the extensive applications of R, we will solely be focusing on importing, cleaning, and visualizing data.

By the end of this lesson, learners will be able to:

  1. Describe what is R and the basic components of the R Studio software environment.
  2. Apply functions to import data into R and to format data.
  3. Employ functions in the dplyr package to perform data cleaning and transformation.
  4. Use the ggplot2 package to create various types of plots and to change aesthetic features of plots.

@libjohn
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libjohn commented Nov 11, 2020

Thanks for the input. I like the concepts you summarized for an intro. My main suggestion would be to add to the first sentence in paragraph two:

... R, RStudio, and the Tidyverse

Secondarily. I'm not sure there is any one person assigned to make the changes. Do you feel comfortable forking the lesson and issuing a pull-request?

@momiji15
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Thanks for the feedback! I'll make sure to add those changes. I can try to fork the lesson and issue a pull-request.

@ciakovx
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ciakovx commented Apr 19, 2021

Closed aefea41

@ciakovx ciakovx closed this as completed Apr 19, 2021
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