reate two vectors each having 10 random integers from 2 to 100. Apply the function LeastCommonMultiple to all numbers in your vectors to check their element-wise least common multiples using map2_dbl function in purrr package. For instance, if the random numbers are [2 10 25 13 6 12 11 20 4 8] and [7 6 10 3 12 5 4 30 17 16] then the result should be [14 30 50 39 12 60 44 60 68 16]. (b) Read currency.xls

1.(a)Write a function named LeastCommonMultiple that takes two integers and

returns their smallest common multiple. For instance, least common multiple of 10 and 12 is

60. Create two vectors each having 10 random integers from 2 to 100. Apply the function

LeastCommonMultiple to all numbers in your vectors to check their element-wise least

common multiples using map2_dbl function in purrr package. For instance, if the random

numbers are [2 10 25 13 6 12 11 20 4 8] and [7 6 10 3 12 5 4 30 17 16] then the result should be

[14 30 50 39 12 60 44 60 68 16].

(b) Read currency.xlsx file and store its content in a data frame or tibble. The excel file

contains daily exchange rates of Bank of Canada.

(c) 

In order to have one observation in each row, apply pivot_longer function to the data

frame and create Currency column which will have a value FXBRLCAD, FXEURCAD, FXTRYCAD,

or FXUSDCAD.

(d) 

Create the following line plot.

(e) 

Separate the date column into year, month, and day columns

(f) 

Create the following point plot using faceting

You can use filter function to get only “FXEURCAD” and “FXUSDCAD”. You can use

group_by and summarise functions to compute average rate per month.

(g) Unite the year, month, and day columns into one date column.

(h)

Widen your data by applying pivot_wider function. At the end, you should have the

initial data.