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124,748 skills indexed with the new KISS metadata standard.

Showing 24 of 124,748Categories: General, Coding & Debugging, Cursor-rules
General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(1

1))

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General
PromptBeginner5 minmarkdownQuality: 24

par(mfrow = c(1

2))

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General
PromptBeginner5 minmarkdownQuality: 24

tapply(df$%s

df$%s

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General
PromptBeginner5 minmarkdownQuality: 24

tapply(df$%s

df$%s

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General
PromptBeginner5 minmarkdownQuality: 24

cat(Dimensions:

dim(df)

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General
PromptBeginner5 minmarkdownQuality: 24

# df <- df[complete.cases(df)

] # drop rows with any NA

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General
PromptBeginner5 minmarkdownQuality: 24

hist(df$%s

main = Distribution of %s

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General
PromptBeginner5 minmarkdownQuality: 24

out_file <- paste0(project_name

_analysis.R)

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General
PromptBeginner5 minmarkdownQuality: 24

df <- read.csv(%s

stringsAsFactors = FALSE)

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General
PromptBeginner5 minmarkdownQuality: 24

dims = c(rows = n_row

cols = n_col)

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General
PromptBeginner5 minmarkdownQuality: 24

# scaffold_analysis(myproject

outcome = score

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General
PromptBeginner5 minmarkdownQuality: 24

n_dup

n_dup / n_row * 100))

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General
PromptBeginner5 minmarkdownQuality: 24

cat(sprintf( %-25s %5d (%.1f%%)\n

lbl

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General
PromptBeginner5 minmarkdownQuality: 24

cat(sprintf( ... and %d more levels\n

n_lv - top_n_levels))

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General
PromptBeginner5 minmarkdownQuality: 24

pct <- round(cnt / n_row * 100

1)

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General
PromptBeginner5 minmarkdownQuality: 24

show <- min(top_n_levels

n_lv)

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General
PromptBeginner5 minmarkdownQuality: 24

tbl <- sort(table(x

useNA = no)

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General
PromptBeginner5 minmarkdownQuality: 24

cat(sprintf(\n %s (%d unique values)\n

col

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General
PromptBeginner5 minmarkdownQuality: 24

──────

───

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General
PromptBeginner5 minmarkdownQuality: 24

cat_cols <- names(df)[sapply(df

function(x) is.factor(x) | is.character(x))]

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General
PromptBeginner5 minmarkdownQuality: 24

min(x)

mean(x)

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General
PromptBeginner5 minmarkdownQuality: 24

col

bar

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General
PromptBeginner5 minmarkdownQuality: 24

Column

Min

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General
PromptBeginner5 minmarkdownQuality: 24

num_cols <- names(df)[sapply(df

is.numeric)]

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