R

Question 1

Common functions you can use to preview data

Answer 1

Colname()
Str()
Glimpse()
Head()

Question 2

Rename()

Answer 2

Rename(dataset, col_name = new col_name, col_name2 = new col_name2

Question 3

Ggplot

Answer 3

Loaded with tidyverse
Ggplot(data = diamonds, aes(x = carat, y = price)) + geom_point()
Returns graph with carat and price as x and y axes

Question 4

Facet_wrap()

Answer 4

Separates out components for a less busy visual

Question 5

Variable

Answer 5

<-

Question 6

Vector

Answer 6

A group of data elements of the same type stored in a one dimensional sequence in R

Question 7

Pipe

Answer 7

%>%
Tool for expressing a sequence of multiple operations

Question 8

Vector

Answer 8

group of data elements of the same type, stored in a sequence in R. You cannot have a vector that contains both logicals and numerics.

Question 9

Tibble

Answer 9

Tibbles are data. frames that are lazy and surly: they do less (i.e. they don’t change variable names or types, and don’t do partial matching) and complain more (e.g. when a variable does not exist). This forces you to confront problems earlier, typically leading to cleaner, more expressive code.

Question 10

Skim_without_charts(bookings_df)

Answer 10

Gives summary info (min, max, empty, average, etc) of each variable type

Question 11

Geom_pount()

Answer 11

Creates scatterplots

Question 12

Aes

Answer 12

Aesthetics, sets x and y axis, color, how it looks

Question 13

Aes alpha

Answer 13

Transparent

Question 14

Changes to all points(not variable dependent)

Answer 14

Do it outside the aes() function