Getting Started with R Markdown — Guide and Cheatsheet

In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!

We’ll show you how to convert the default R Markdown document into a useful reference guide of your own. We encourage you to follow along by building out your own R Markdown guide, but if you prefer to just read along, that works, too!

R Markdown is an open-source tool for producing reproducible reports in R. It enables you to keep all of your code, results, plots, and writing in one place. R Markdown is particularly useful when you are producing a document for an audience that is interested in the results from your analysis, but not your code.

R Markdown is powerful because it can be used for data analysis and data science, collaborating with others, and communicating results to decision makers. With R Markdown, you have the option to export your work to numerous formats including PDF, Microsoft Word, a slideshow, or an HTML document for use in a website.

Turn your data analysis into pretty documents with R Markdown.

We’ll use the RStudio integrated development environment (IDE) to produce our R Markdown reference guide. If you’d like to learn more about RStudio, check out our list of 23 awesome RStudio tips and tricks!

Here at Dataquest, we love using R Markdown for coding in R and authoring content. In fact, we wrote this blog post in R Markdown! Also, learners on the Dataquest platform use R Markdown for completing their R projects.

We included fully-reproducible code examples in this blog post. When you’ve mastered the content in this post, check out our other blog post on R Markdown tips, tricks, and shortcuts.

Okay, let’s get started with building our very own R Markdown reference document!

R Markdown Guide and Cheatsheet: Quick Navigation

• 1. Install R Markdown
• 2. Default Output Format
• 3. R Markdown Document Format
• 4. Section Headers
• 5. Bulleted and Numbered Lists
• 6. Text Formatting
• 7. Links
• 8. Code Chunks
• 9. Running Code
• 10. Control Behavior with Code Chunk Options
• 11. Inline Code
• 12. Navigating Sections and Code Chunks
• 13. Table Formatting
• 14. Output Format Options
• 15. Presentations
• 16. Add a Table of Contents
• 17. Reproducible Reports with RStudio Cloud
• More R Markdown Tips, Tricks, and Shortcuts
• Bonus: R Markdown Cheatsheet
• Additional Resources

1. Install R Markdown

R Markdown is a free, open source tool that is installed like any other R package. Use the following command to install R Markdown:

install.packages("rmarkdown")

Now that R Markdown is installed, open a new R Markdown file in RStudio by navigating to File > New File > R Markdown…. R Markdown files have the file extension “.Rmd”.

2. Default Output Format

When you open a new R Markdown file in RStudio, a pop-up window appears that prompts you to select output format to use for the document.

The default output format is HTML. With HTML, you can easily view it in a web browser.

We recommend selecting the default HTML setting for now — it can save you time! Why? Because compiling an HTML document is generally faster than generating a PDF or other format. When you near a finished product, you change the output to the format of your choosing and then make the final touches.

One final thing to note is that the title you give your document in the pop-up above is not the file name! Navigate to File > Save As.. to name, and save, the document.

#data science tutorials #beginner #r #r markdown #r tutorial #r tutorials #rstats #rstudio #tutorial #tutorials

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Getting Started with R Markdown — Guide and Cheatsheet

In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!

We’ll show you how to convert the default R Markdown document into a useful reference guide of your own. We encourage you to follow along by building out your own R Markdown guide, but if you prefer to just read along, that works, too!

R Markdown is an open-source tool for producing reproducible reports in R. It enables you to keep all of your code, results, plots, and writing in one place. R Markdown is particularly useful when you are producing a document for an audience that is interested in the results from your analysis, but not your code.

R Markdown is powerful because it can be used for data analysis and data science, collaborating with others, and communicating results to decision makers. With R Markdown, you have the option to export your work to numerous formats including PDF, Microsoft Word, a slideshow, or an HTML document for use in a website.

Turn your data analysis into pretty documents with R Markdown.

We’ll use the RStudio integrated development environment (IDE) to produce our R Markdown reference guide. If you’d like to learn more about RStudio, check out our list of 23 awesome RStudio tips and tricks!

Here at Dataquest, we love using R Markdown for coding in R and authoring content. In fact, we wrote this blog post in R Markdown! Also, learners on the Dataquest platform use R Markdown for completing their R projects.

We included fully-reproducible code examples in this blog post. When you’ve mastered the content in this post, check out our other blog post on R Markdown tips, tricks, and shortcuts.

Okay, let’s get started with building our very own R Markdown reference document!

R Markdown Guide and Cheatsheet: Quick Navigation

• 1. Install R Markdown
• 2. Default Output Format
• 3. R Markdown Document Format
• 4. Section Headers
• 5. Bulleted and Numbered Lists
• 6. Text Formatting
• 7. Links
• 8. Code Chunks
• 9. Running Code
• 10. Control Behavior with Code Chunk Options
• 11. Inline Code
• 12. Navigating Sections and Code Chunks
• 13. Table Formatting
• 14. Output Format Options
• 15. Presentations
• 16. Add a Table of Contents
• 17. Reproducible Reports with RStudio Cloud
• More R Markdown Tips, Tricks, and Shortcuts
• Bonus: R Markdown Cheatsheet
• Additional Resources

1. Install R Markdown

R Markdown is a free, open source tool that is installed like any other R package. Use the following command to install R Markdown:

install.packages("rmarkdown")

Now that R Markdown is installed, open a new R Markdown file in RStudio by navigating to File > New File > R Markdown…. R Markdown files have the file extension “.Rmd”.

2. Default Output Format

When you open a new R Markdown file in RStudio, a pop-up window appears that prompts you to select output format to use for the document.

The default output format is HTML. With HTML, you can easily view it in a web browser.

We recommend selecting the default HTML setting for now — it can save you time! Why? Because compiling an HTML document is generally faster than generating a PDF or other format. When you near a finished product, you change the output to the format of your choosing and then make the final touches.

One final thing to note is that the title you give your document in the pop-up above is not the file name! Navigate to File > Save As.. to name, and save, the document.

#data science tutorials #beginner #r #r markdown #r tutorial #r tutorials #rstats #rstudio #tutorial #tutorials

R Markdown Tips, Tricks, and Shortcuts

R Markdown is an open-source tool for producing reproducible reports in R. It helps you keep all of your code, results, and writing in one place, and format it all in a way that’s attractive and digestible.

It’s a valuable tool for presenting your data work to others, too. With R Markdown, you have the option to export your work to numerous formats including PDF, Microsoft Word, a slideshow, or an html document for use on a website.

Turn your data analysis into pretty documents with R Markdown.

R Markdown is a powerful tool because it can be used for data analysis and data science, to collaborate with others, and communicate results to decision makers.

In this blog post we’ll look at some tips, tricks, and shortcuts for working with R Markdown in RStudio. (If you’d like to learn more about RStudio, check out this Dataquest blog post for RStudio tips and tricks!)

We love using R Markdown for coding in R and authoring content. In fact, we wrote this blog post in R Markdown! Let’s check out some reasons why!

1. Keyboard Shortcuts

Knowing R Markdown keyboard shortcuts will save lots of time when creating reports.

Here are some of the essential R Markdown shortcuts:

• Insert a new code chuck with Command + Option + I on a Mac, or Ctrl + Alt + Ion Linux and Windows.
• Output your document in the format specified in your YAML header with Command + Shift + K on a Mac, or Ctrl + Shift + K on Linux and Windows. The “k” is short for “knit”!

Next we’ll cover shortcuts to run code chunks. But before doing this it is often a good idea to restart your R session and start with a clean environment. Do this with Command + Shift + F10 on a Mac or Ctrl + Shift + F10 on Linux and Windows.

• Run all chunks above the current chunk with Command + Option + P on a Mac; Ctrl + Alt + P on Linux and Windows.
• Run the current chunk with Command + Option + C or Command + Shift + Enteron a Mac; Ctrl + Alt + C or Ctrl + Shift + Enter on Linux and Windows.
• Run the next chunk with Command + Option + N on a Mac; Ctrl + Alt + N on Linux and Windows.
• Run all chunks with Command + Option + R or Command + A + Enter on a Mac; Ctrl + Alt + R or Ctrl + A + Enter on Linux and Windows.

2. Quickly Preview Your Document

R Markdown provides many format options for compiling your document. But rendering your work as a PDF or a presentation can take much longer than compiling to HTML. For this reason, it is generally useful to output your document to HTML while authoring because this enables to iterate quickly.

When you open a new R Markdown file, the default output format is HTML — when you compile your report, you can easily view it in a web browser. This default setting can save you time! When you near a finished product, you change the output to the format of your choosing and make the final touches then.

#data science tutorials #beginner #r #r markdown #r tutorial #rstats

How to start an electric scooter facility/fleet in a university campus/IT park

Are you leading an organization that has a large campus, e.g., a large university? You are probably thinking of introducing an electric scooter/bicycle fleet on the campus, and why wouldn’t you?

Introducing micro-mobility in your campus with the help of such a fleet would help the people on the campus significantly. People would save money since they don’t need to use a car for a short distance. Your campus will see a drastic reduction in congestion, moreover, its carbon footprint will reduce.

Micro-mobility is relatively new though and you would need help. You would need to select an appropriate fleet of vehicles. The people on your campus would need to find electric scooters or electric bikes for commuting, and you need to provide a solution for this.

To be more specific, you need a short-term electric bike rental app. With such an app, you will be able to easily offer micro-mobility to the people on the campus. We at Devathon have built Autorent exactly for this.

What does Autorent do and how can it help you? How does it enable you to introduce micro-mobility on your campus? We explain these in this article, however, we will touch upon a few basics first.

Micro-mobility: What it is

You are probably thinking about micro-mobility relatively recently, aren’t you? A few relevant insights about it could help you to better appreciate its importance.

Micro-mobility is a new trend in transportation, and it uses vehicles that are considerably smaller than cars. Electric scooters (e-scooters) and electric bikes (e-bikes) are the most popular forms of micro-mobility, however, there are also e-unicycles and e-skateboards.

You might have already seen e-scooters, which are kick scooters that come with a motor. Thanks to its motor, an e-scooter can achieve a speed of up to 20 km/h. On the other hand, e-bikes are popular in China and Japan, and they come with a motor, and you can reach a speed of 40 km/h.

You obviously can’t use these vehicles for very long commutes, however, what if you need to travel a short distance? Even if you have a reasonable public transport facility in the city, it might not cover the route you need to take. Take the example of a large university campus. Such a campus is often at a considerable distance from the central business district of the city where it’s located. While public transport facilities may serve the central business district, they wouldn’t serve this large campus. Currently, many people drive their cars even for short distances.

As you know, that brings its own set of challenges. Vehicular traffic adds significantly to pollution, moreover, finding a parking spot can be hard in crowded urban districts.

Well, you can reduce your carbon footprint if you use an electric car. However, electric cars are still new, and many countries are still building the necessary infrastructure for them. Your large campus might not have the necessary infrastructure for them either. Presently, electric cars don’t represent a viable option in most geographies.

As a result, you need to buy and maintain a car even if your commute is short. In addition to dealing with parking problems, you need to spend significantly on your car.

All of these factors have combined to make people sit up and think seriously about cars. Many people are now seriously considering whether a car is really the best option even if they have to commute only a short distance.

This is where micro-mobility enters the picture. When you commute a short distance regularly, e-scooters or e-bikes are viable options. You limit your carbon footprints and you cut costs!

Businesses have seen this shift in thinking, and e-scooter companies like Lime and Bird have entered this field in a big way. They let you rent e-scooters by the minute. On the other hand, start-ups like Jump and Lyft have entered the e-bike market.

Think of your campus now! The people there might need to travel short distances within the campus, and e-scooters can really help them.

How micro-mobility can benefit you

What advantages can you get from micro-mobility? Let’s take a deeper look into this question.

Micro-mobility can offer several advantages to the people on your campus, e.g.:

• Affordability: Shared e-scooters are cheaper than other mass transportation options. Remember that the people on your campus will use them on a shared basis, and they will pay for their short commutes only. Well, depending on your operating model, you might even let them use shared e-scooters or e-bikes for free!
• Convenience: Users don’t need to worry about finding parking spots for shared e-scooters since these are small. They can easily travel from point A to point B on your campus with the help of these e-scooters.
• Environmentally sustainable: Shared e-scooters reduce the carbon footprint, moreover, they decongest the roads. Statistics from the pilot programs in cities like Portland and Denver showimpressive gains around this key aspect.
• Safety: This one’s obvious, isn’t it? When people on your campus use small e-scooters or e-bikes instead of cars, the problem of overspeeding will disappear. you will see fewer accidents.

#android app #autorent #ios app #mobile app development #app like bird #app like bounce #app like lime #autorent #bird scooter business model #bird scooter rental #bird scooter rental cost #bird scooter rental price #clone app like bird #clone app like bounce #clone app like lime #electric rental scooters #electric scooter company #electric scooter rental business #how do you start a moped #how to start a moped #how to start a scooter rental business #how to start an electric company #how to start electric scooterrental business #lime scooter business model #scooter franchise #scooter rental business #scooter rental business for sale #scooter rental business insurance #scooters franchise cost #white label app like bird #white label app like bounce #white label app like lime

Creating Reports with R Markdown

Intro

It’s easy to turn python scripts into reports using Jupyter notebook or Google Colab. Did you know that you could also do the same for R scripts?

In this tutorial, I’m going to demonstrate how to turn your R script into a report.

Pre-requisites

We need to have two software installed.

1. R
2. R Studio — Free version

Downloading The KnitR Package

Make sure to download the package which lets you convert your R Markdown files into reports.

You can run the command (shown below) in the console to download the package.

install.packages("knitr")

Using R Markdown to Code in R Studio

Under the “File” tab, click “New File” and “R Markdown”.

Name your file and choose the default output format. You can always change the output format later.

Once you hit “Ok”, you can now code and write a report on R Markdown.

Understanding How to Use R Markdown

The **highlighted section (or the cell) **is where you can write your code.

```{r cars}
YOU CAN WRITE YOUR CODE HERE

And the **non-highlighted** section is where you can write your **report**.

![Image for post](https://miro.medium.com/max/657/1*M8ufnJsYAk5xTLpzFwIfsg.png)

Example of R Markdown

You can run the code in the entire cell by clicking the green run button on the upper right corner in the cell.

Alternatively, you can hit Ctrl + Enter to only run the selected code.

#r-markdown #knitr #data-science #r #data analysis

Markdown Cheatsheet: What is Markdown?

What is Markdown?

Markdown is a way to style text on the web. You control the display of the document; formatting words as bold or italic, adding images, and creating lists are just a few of the things we can do with Markdown. Mostly, Markdown is just regular text with a few non-alphabetic characters thrown in, like # or *.

Markdown is very popular to write README’s on Github. So, I’ve given you a tutorial of the markdown.

Syntax guide

You can find documantation and a complete explanation of Markdown’s syntex here.

Contents

• Headings
• Emphasis
• Bold
• Italic
• Strikethrough
• Images
• Links
• Paragraphs
• BlockQuotes
• Lists
• Ordered Lists
• Unordered Lists
• Code
• Syntax highlighting or Multiline code
• Tables
• Horizontal Rules

---

Headings

You can create headings by prefixing with a # (hash mark).

Heading 1

Syntex: 
    # Heading 1
        or
    =====

Heading 2

Syntex:
    ## Heading 2
        or
    ----

Heading 3

Syntex:
    ### Heading 3

Heading 4

Syntex:
    #### Heading 4

Heading 5

Syntex:
    ##### Heading 5

Heading 6

Syntex:
    ###### Heading 6

---

Emphasis

Bold

You can make any text bold by adding double asterisks (*) or double underscores(_).

Syntex:

    **Bold**

    __Bold__

Italic

You can make any text italic by adding asterisk (*) or underscore(_).

Syntex:

    *Italic*
    _Italic_

Bold and Italic

Even you can combine both them.

Syntex:
    You **can** combine them_

Strikethrough

Markdown supports strikethrough by wrapping text in ~~:

Syntex:
    ~~This text is strikethrough.~~

#markdown #readme #learning #programming #beginners-guide #deep learning