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136,391 skills indexed with the new KISS metadata standard.

Showing 24 of 136,391Categories: General, Creative, Coding & Debugging, Writing & Content
General
PromptBeginner5 minmarkdownQuality: 24

outfile <- paste0(projectname

_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

ndup / nrow * 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

nlv - topn_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(topnlevels

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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General
PromptBeginner5 minmarkdownQuality: 24

bar <- paste0(rep(█

bar_len)

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General
PromptBeginner5 minmarkdownQuality: 24

pctna <- round(colswithna[col] / nrow * 100

1)

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General
PromptBeginner5 minmarkdownQuality: 24

cat(sprintf( Columns with NAs: %d of %d\n\n

length(colswithna)

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General
PromptBeginner5 minmarkdownQuality: 24

naflag <- if (nna == 0) " else sprintf( * %d NAs (%.1f%%)

n_na

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General
PromptBeginner5 minmarkdownQuality: 24

na_counts <- sapply(df

function(x) sum(is.na(x)))

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General
PromptBeginner5 minmarkdownQuality: 24

col

cls

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General
PromptBeginner5 minmarkdownQuality: 24

pct <- round(nna / nrow * 100

1)

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