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Inspect and Plot TidyTuesday Data

inspect_plot.Rd

A comprehensive function that analyzes TidyTuesday datasets and generates appropriate inspection plots based on data characteristics and number of datasets.

Usage

inspect_plot(ttd, plots = "all")

Arguments

ttd

A list of data frames from load_tt_data()

plot

Character vector specifying which plots to generate. Options include:

  • "types" - Column type distributions

  • "mem" - Memory usage analysis

  • "na" - Missing value analysis

  • "cor" - Correlation analysis (numeric columns)

  • "imb" - Feature imbalance (categorical columns)

  • "num" - Numeric column summaries

  • "cat" - Categorical column summaries

  • "all" - Generate all available plots (default)

Value

Plots are displayed; function is called for side effects

Examples

ttd <- load_tt_data("Moore’s Law")
#> INFO [2026-02-03 21:19:40] Starting import for cpu.csv from https://raw.githubusercontent.com/rfordatascience/tidytuesday/refs/heads/main/data/2019/2019-09-03/cpu.csv
#> SUCCESS [2026-02-03 21:19:41] Successfully loaded cpu.csv
#> INFO [2026-02-03 21:19:41] Starting import for gpu.csv from https://raw.githubusercontent.com/rfordatascience/tidytuesday/refs/heads/main/data/2019/2019-09-03/gpu.csv
#> SUCCESS [2026-02-03 21:19:41] Successfully loaded gpu.csv
#> INFO [2026-02-03 21:19:41] Starting import for ram.csv from https://raw.githubusercontent.com/rfordatascience/tidytuesday/refs/heads/main/data/2019/2019-09-03/ram.csv
#> SUCCESS [2026-02-03 21:19:41] Successfully loaded ram.csv

# Generate all plots
inspect_plot(ttd)
#> INFO [2026-02-03 21:19:41] inspect_plot(): starting analysis
#> INFO [2026-02-03 21:19:41] Beginning plot type 'types'



#> SUCCESS [2026-02-03 21:19:42] Completed plot type 'types'
#> INFO [2026-02-03 21:19:42] Beginning plot type 'mem'



#> SUCCESS [2026-02-03 21:19:42] Completed plot type 'mem'
#> INFO [2026-02-03 21:19:42] Beginning plot type 'na'



#> SUCCESS [2026-02-03 21:19:43] Completed plot type 'na'
#> INFO [2026-02-03 21:19:43] Beginning plot type 'cor'



#> SUCCESS [2026-02-03 21:19:43] Completed plot type 'cor'
#> INFO [2026-02-03 21:19:43] Beginning plot type 'imb'



#> SUCCESS [2026-02-03 21:19:44] Completed plot type 'imb'
#> INFO [2026-02-03 21:19:44] Beginning plot type 'num'



#> SUCCESS [2026-02-03 21:19:45] Completed plot type 'num'
#> INFO [2026-02-03 21:19:45] Beginning plot type 'cat'
#> Warning: Ignoring unknown parameters: `size`

#> Warning: Ignoring unknown parameters: `size`

#> Warning: Ignoring unknown parameters: `size`

#> SUCCESS [2026-02-03 21:19:46] Completed plot type 'cat'
#> SUCCESS [2026-02-03 21:19:46] inspect_plot(): all requested plots finished
#> NULL

# Generate only specific plots
inspect_plot(ttd, plot = c("types", "mem"))
#> INFO [2026-02-03 21:19:46] inspect_plot(): starting analysis
#> INFO [2026-02-03 21:19:46] Beginning plot type 'types'



#> SUCCESS [2026-02-03 21:19:46] Completed plot type 'types'
#> INFO [2026-02-03 21:19:46] Beginning plot type 'mem'



#> SUCCESS [2026-02-03 21:19:47] Completed plot type 'mem'
#> SUCCESS [2026-02-03 21:19:47] inspect_plot(): all requested plots finished
#> NULL

# Generate single plot type
inspect_plot(ttd, plot = "cor")
#> INFO [2026-02-03 21:19:47] inspect_plot(): starting analysis
#> INFO [2026-02-03 21:19:47] Beginning plot type 'cor'



#> SUCCESS [2026-02-03 21:19:47] Completed plot type 'cor'
#> SUCCESS [2026-02-03 21:19:47] inspect_plot(): all requested plots finished
#> NULL