Data
PromptBeginner5 minmarkdownQuality: 24
boxplot(value ~ group
data = df
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130,610 skills indexed with the new KISS metadata standard.
Showing 24 of 130,610Categories: Coding & Debugging, Cursor-rules, Data, General
General
PromptBeginner5 minmarkdownQuality: 24
main = Distribution
xlab = Value)
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General
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barplot(table(df$category)
main = Counts
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General
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hist(x
breaks = 30
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General
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col = lightblue
las = 2)
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General
PromptBeginner5 minmarkdownQuality: 24
pch = 19
col = steelblue
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General
PromptBeginner5 minmarkdownQuality: 24
lines(x
y2
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General
PromptBeginner5 minmarkdownQuality: 24
plot(x
y
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General
PromptBeginner5 minmarkdownQuality: 24
chunk <- readLines(con
n = 100)
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General
PromptBeginner5 minmarkdownQuality: 24
plot(x
y
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General
PromptBeginner5 minmarkdownQuality: 24
con <- file(big.csv
r)
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General
PromptBeginner5 minmarkdownQuality: 24
RDS (single R object
preserves types)
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General
PromptBeginner5 minmarkdownQuality: 24
save(df1
df2
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Data
PromptBeginner5 minmarkdownQuality: 24
saveRDS(obj
data.rds)
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Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.csv(data.csv
stringsAsFactors = FALSE)
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Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.table(data.txt
header = TRUE
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General
PromptBeginner5 minmarkdownQuality: 24
grepl(pattern
x) # logical vector
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General
PromptBeginner5 minmarkdownQuality: 24
strsplit(a
b
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General
PromptBeginner5 minmarkdownQuality: 24
grep(pattern
x) # indices of matches
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General
PromptBeginner5 minmarkdownQuality: 24
substr(hello
1
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General
PromptBeginner5 minmarkdownQuality: 24
gsub(old
new
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General
PromptBeginner5 minmarkdownQuality: 24
sprintf(%.2f%%
3.14159) # 3.14%
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Data
PromptBeginner5 minmarkdownQuality: 24
aggregate(value ~ group
data = df
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General
PromptBeginner5 minmarkdownQuality: 24
paste0(x
1:3) # x1 x2 x3
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