do_viz_shots_gradient: Visualization of the shots statistics with advanced features

In BAwiR: Analysis of Basketball Data

Visualization of the shots statistics with advanced features

Description

Create a visualization of the left half of the court and compare either the field goal percentage or the points per shot of a given player with respect to the league. In addition, it can also show a heatmap with the zones where the player takes the shots.

Usage

do_viz_shots_gradient(data_filter, type, metric, data_shots_zones, language = "English")

Arguments

data_filter	Shooting filtered data obtained with do_filter_data.
type	Options are 'team' for team statistics, 'player' for player statistics and 'all' for the whole league.
metric	Options are 'fg' for the field goal percentage, 'pps' for the points per shot and 'none' if plotting a heatmap is preferred.
data_shots_zones	Shooting data with the court zones.
language	Language of the titles. Valid options are 'English' and 'Spanish' so far.

Value

A plot.

Author(s)

Guillermo Vinue

See Also

do_divide_court_zones, do_filter_data, do_shots_stats, do_prepare_data_gradient

Examples

## Not run: 
df0 <- do_divide_court_zones(acb_shooting_data_2425)

df1 <- do_filter_data(df0, "2024-2025", "", "", "", "", "")

do_viz_shots_gradient(df1, "all", "none", df0)

df1 <- do_filter_data(df0, "2024-2025", "", "", "", "", "D. Ennis")

do_viz_shots_gradient(df1, "player", "none", df0)
do_viz_shots_gradient(df1, "player", "fg", df0)

df1 <- do_filter_data(df0, "2024-2025", "Valencia Basket", "", "", "", "")

do_viz_shots_gradient(df1, "team", "none", df0)

## End(Not run)

BAwiR documentation built on Feb. 27, 2026, 5:07 p.m.