Chapter 5 Preview Data

Reviewing data is an important part of data analysis. There are many different methods to review data within R, however a common practice to review data is to manually visualize the values in columns of a dataframe. This section will explore options for manually exploring data within a dataframe.

5.1 Inspect Data Structure

Prior to performing data analysis it is good to understand the elements, data types, and examples of the data within a dataframe.

5.1.1 Preview the structure of a dataframe

Description
Method to inspect the data structure and elements of a dataframe
Ingredients
Package Data

readr

sample.csv


Preparation

df <- readr::read_csv("C:/data/sample_parcel_land_sizes.csv")


Sample Instructions

function(data)


Actual Instructions

str(df)

5.2 Preview Data

Manually reviewing data is a common practice to understand the data in a dataframe. R provides many options for manually reviewing dataframes.

5.2.1 Subset of rows to preview in a dataframe

Description
Method to visually inspect the first few rows of a dataframe
Ingredients
Package Data

readr

sample.csv


Preparation

df <- readr::read_csv("C:/data/sample_parcel_land_sizes.csv")


Sample Instructions

function(data)


Actual Instructions

head(df)

5.2.2 Specify a set number of rows to preview in a dataframe

Description
Method to visually inspect a specific number of rows of a dataframe
Ingredients
Package Data

readr

sample.csv


Preparation

df <- readr::read_csv("C:/data/sample_parcel_land_sizes.csv")


Sample Instructions

function(data, number)


Actual Instructions

head(df, 100)

5.2.3 Preview all rows of a dataframe

Description
Method to visually inspect all rows of a dataframe
Ingredients
Package Data

readr

sample.csv


Preparation

df <- readr::read_csv("C:/data/sample_parcel_land_sizes.csv")


Sample Instructions

data


Actual Instructions

df

5.2.4 Preview all rows of a dataframe within a viewer

Description
Method to visually inspect all rows of a dataframe
Ingredients
Package Data

readr

sample.csv


Preparation

df <- readr::read_csv("C:/data/sample_parcel_land_sizes.csv")


Sample Instructions

function(data)


Actual Instructions

View(df)