Background

In this short report, I will work with the pressure and cars datasets that are inbuilt in R. I will start by plotting the pressure dataset, and then capture the top six (6) rows of the cars dataset. I will also use an appropriate theme to colour the fonts of my graph and tables. Finally, I will publish the report to rpubs.

A bulleted list of 3 or more items (either numbered or unnumbered)

The mpg dataset has a list of car models. Some four examples are given below.

• Audi

  • Manual
  • Auto

• Chevrolet

  • 2 seater
  • Compact

• Dodge

• Ford

Plot of the Pressure Dataset

In this section I plot the temperature versus pressure based on the pressure dataset. You can over your mouse cursor over the points to see the corresponding values.

ggplotly(pressure %>% 
    
    ggplot(mapping = aes(x = temperature, y = pressure, col = factor(temperature))) + 
    
    geom_point(shape = 1, stroke = 3, size = 4) + 
    
    ggthemes::theme_fivethirtyeight() + 
    
    labs(title = "Plot of Temp vs. Pressure", 
         x = "Temperature", y = "Pressure",
         caption = "John Karuitha, 2020, using R, Tidyverse, Plotly Packages") + 
    
    theme(legend.position = "none")) 

A table of the top 6 rows of the built-in ‘cars’ dataset

head(cars) %>% 
knitr::kable(caption = "Top 6 Rows of the Cars Dataset", booktabs = TRUE) %>% 
kableExtra::kable_styling(bootstrap_options = "striped", full_width = FALSE)