AgentSkillify

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110,974 skills indexed with the new KISS metadata standard.

Showing 24 of 110,974Categories: Data & Insights, General, Cursor-rules, Creative, Data
General
PromptBeginner5 minmarkdown

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

c(outcome

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General
PromptBeginner5 minmarkdown

num_cols <- names(df)[sapply(df

is.numeric)]

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General
PromptBeginner5 minmarkdown

# df <- df[df$year >= 2010

]

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General
PromptBeginner5 minmarkdown

# labels = c(18-25

26-45

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General
PromptBeginner5 minmarkdown

# breaks = c(0

25

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General
PromptBeginner5 minmarkdown

# df$gender <- ifelse(df$gender == 1

Male

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General
PromptBeginner5 minmarkdown

# df$date <- as.Date(df$date

format = %Y-%m-%d)

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General
PromptBeginner5 minmarkdown

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

col

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General
PromptBeginner5 minmarkdown

print(table(df[[col]]

useNA = ifany))

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General
PromptBeginner5 minmarkdown

cat(sprintf(Duplicate rows: %d\n

n_dup))

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General
PromptBeginner5 minmarkdown

cat_cols <- names(df)[sapply(df

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

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General
PromptBeginner5 minmarkdown

print(na_report[na_report$n_miss > 0

])

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Data
PromptBeginner5 minmarkdown

df <- read.csv(your_data.csv

stringsAsFactors = FALSE)

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General
PromptBeginner5 minmarkdown

pct_miss = round(colMeans(is.na(df)) * 100

1)

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General
PromptBeginner5 minmarkdown

head(df

10)

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General
PromptBeginner5 minmarkdown

# library(car) # Type II/III ANOVA

VIF

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General
PromptBeginner5 minmarkdown

# Copy this file

rename it

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General
PromptBeginner5 minmarkdown

# library(lmtest) # Breusch-Pagan

Durbin-Watson etc.

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General
PromptBeginner5 minmarkdown

- `colorRamp` returns a **function** mapping [0

1] to RGB matrix.

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General
PromptBeginner5 minmarkdown

- `adjustcolor(col

alpha.f = 0.5)`: easy way to add transparency.

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General
PromptBeginner5 minmarkdown

- `hcl(h

c

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General
PromptBeginner5 minmarkdown

- `rgb(r

g

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General
PromptBeginner5 minmarkdown

- Must call `dev.off()` to finalize the file. Without it

file may be empty/corrupt.

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General
PromptBeginner5 minmarkdown

- `dev.copy(pdf

file = plot.pdf)` followed by `dev.off()` to save current plot.

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