Untitled Flashcards Set

ggplot()

Initializes a ggplot object, typically followed by aes() and geom_*() layers.

aes()

Defines aesthetic mappings, such as x and y variables, color, shape, size.

geom_boxplot()

Creates a boxplot to visualize the distribution and outliers of numerical data.

geom_point()

Creates a scatterplot for visualizing relationships between two numerical variables.

geom_histogram()

Creates a histogram to show the distribution of a single numerical variable.

geom_smooth()

Adds a smoothed conditional mean line, such as a LOESS or linear regression curve.

geom_line()

Creates a line chart, typically used for time series data.

labs()

Adds labels for title, axis labels, and legend.

theme_minimal()

Applies a clean, minimalistic theme to the plot.

theme()

Customizes various aspects of the plot, such as text size, legend position, and axis appearance.

scale_x_continuous()

Adjusts the x-axis scale, setting breaks, labels, or limits.

scale_color_manual()

Manually sets colors for different groups in a plot.

glimpse()

Provides a compact summary of a dataframe’s structure.

nrow()

Returns the number of rows in a dataframe.

ncol()

Returns the number of columns in a dataframe.

dim()

Returns both the number of rows and columns in a dataframe.

slice_head()

Returns the first n rows of a dataframe.

filter()

Filters rows based on a condition.

arrange()

Sorts rows by one or more columns.

relocate()

Moves selected columns to a new position in the dataframe.

if_else()

A vectorized conditional function returning values based on a condition.

case_when()

A more flexible conditional function for multiple conditions.

count()

Counts occurrences of values in a column.

group_by()

Groups data for grouped operations.

ungroup()

Removes grouping from a dataframe.

read_csv()

Reads a CSV file into a dataframe.

separate()

Splits a column into multiple columns based on a delimiter.

mutate()

Creates or modifies columns.

summarize()

Aggregates data based on a function like mean, sum, or count.

pivot_longer()

Converts multiple columns into two columns: one for column names and one for values.

pivot_wider()

Converts key-value pairs into multiple columns.

left_join()

Merges two dataframes, keeping all rows from the left dataframe.

inner_join()

Merges two dataframes, keeping only rows that appear in both.

right_join()

Merges two dataframes, keeping all rows from the right dataframe.

full_join()

Merges two dataframes, keeping all rows from both.