write 2-3 sentences (40-60 words) in response to each of the following questions:How does adding code chunks improve the usability of your R Markdown file? How does visualizing data in an R Markdown file differ from visualizing data in a program like Tableau?

. In the text box below, write 2-3 sentences (40-60 words) in response to each of the following questions:How does using functions help you quickly gain insights into large amounts of data?How does creating a data table help you organize and communicate important aspects of your data?

write 2-3 sentences (40-60 words) in response to each of the following questions:What did linking data from multiple sources allow you to do with your visualization in Tableau? What other kinds of datasets could you link to the four you used in this activity? What kinds of comparisons or insights could you make?If you couldn’t link data in this way, how would you make complex comparative datasets and visualizations like this?

Question 4Fill in the blank: A data analyst includes _____ in their R Markdown notebook so that they can refer to it directly in their explanation of their analysis. 1 pointinline codemarkdownYAMLdocumentation

e text box below, write 2-3 sentences (40-60 words) in response to each of the following questions: How do subqueries help you work with large datasets? Which other ways could you use subqueries to analyze data?

Examine your completed data visualization. In the space provided below, write 2-3 sentences (40-60 words) in response to each of the following questions:How does the line chart help you visualize the sales data? Based on your analysis, when will your company need to increase staff and inventory?