In matthewhirschey/bespokelearnr: Bespoke data science learning

R
Getting to know your data

Any questions?

r dataframe_name dataset

r dataframe_title

• For this class, we will use a dataset called r dataframe_name.

• r dataframe_source

• r dataframe_desc

Inspecting your dataframe: dimensions

Use the dim() function to see how many rows (observations) and columns (variables) are in r dataframe_name

dim(r dataframe_name)

Enter your function here:

Inspecting your dataframe: glimpse

Use the glimpse() function to see what kinds of variables the r dataframe_name dataset contains

glimpse(r dataframe_name)

Enter your function here:

Basic Data Types in R {.build}

Recall that R has different data types -

character - "a", "tidyverse"

numeric - 2, 11.5

integer - 2L (the L tells R to store this as an integer)

logical - TRUE, FALSE

complex - 1+4i

(raw)

You will also come across the double datatype. It is the same as numeric

factor. A factor is a collection of ordered character variables

Basic Data Types in R

In addition to the glimpse() function, you can use the class() function to determine the data type of a specific column

class(r dataframe_name$r colnames(df_character_select))

class(df_character_select[[1]])

Try getting the class of a variable:

matthewhirschey/bespokelearnr documentation built on Oct. 11, 2020, 12:57 a.m.