data analysis with r programming coursera answers

data analysis with r programming weekly challenge 1 1. A data analyst uses words and symbols to give instructions to a computer. What are the words and symbols known as? Answers Coded language Function language Programming languages Syntax languages 2. Many data analysts prefer to use a programming language for

data analysis with r programming weekly challenge 2 1. A data analyst is assigning a variable to a value in their company’s sales dataset for 2020. Which variable name uses the correct syntax? Answers -sales-2020 2020_sales sales_2020 _2020sales   2. You want to create a vector with the values 12,

data analysis with r programming weekly challenge 3 1. A data analyst is working with a dataset in R that has more than 50,000 observations. Why might they choose to use a tibble instead of the standard data frame? Select all that apply. Answers Tibbles can create row names Tibbles

data analysis with r programming weekly challenge 4 1. Which of the following are benefits of using ggplot2? Select all that apply. Answers Customize the look and feel of your plot Easily add layers to your plot Combine data manipulation and visualization Automatically clean data before creating a plot  

data analysis with r programming weekly challenge 5 1. A data analyst wants to create documentation for their cleaning process so other analysts on their team can recreate this process. What tool can help them create this shareable report? Answers Code chunks Inline code Dashboards R Markdown 2. A data