Data
PromptBeginner5 minmarkdownQuality: 24
- Matrix indexing a data frame (`df[cbind(i
j)]`) coerces to matrix first — avoid.
1
Explore
Find agent skills by outcome
14,613 skills indexed with the new KISS metadata standard.
Showing 24 of 14,613Categories: Data, Communication, Creative
Data
PromptBeginner5 minmarkdownQuality: 28
- Data frame [ with single column: `df[
1]` returns a vector (drop=TRUE default for columns)
1
Data
PromptBeginner5 minmarkdownQuality: 24
- `ts(data
start
1
Data
PromptBeginner5 minmarkdownQuality: 24
- `relist(flesh
skeleton) — flesh` is the flat data
1
Creative
PromptBeginner5 minmarkdownQuality: 28
- `tryCatch(expr
warning = function(w) {...}) catches the first warning and exits. Use withCallingHandlers + invokeRestart(muffleWarning)` to suppress warnings but continue.
0
Creative
PromptBeginner5 minmarkdownQuality: 24
- Reduce with init adds a starting value: `Reduce(f
x
0
Data
PromptBeginner5 minmarkdownQuality: 24
- Useful pattern: `do.call(rbind
listofdfs)` to combine a list of data frames.
1
Data
PromptBeginner5 minmarkdownQuality: 28
- io-and-text.md — Read when: read.table silently drops data or misparses columns
regex behaves differently than expected
1
Data
PromptBeginner5 minmarkdownQuality: 28
- visualization.md — Read when: par settings reset unexpectedly
layout/mfrow interaction is confusing
1
Data
PromptBeginner5 minmarkdownQuality: 28
- statistics.md — Read when: hypothesis test gives surprising result
need to choose correct p.adjust method
1
Data
PromptBeginner5 minmarkdownQuality: 28
- data-wrangling.md — Read when: subsetting returns wrong type
apply on data frame gives unexpected coercion
1
Data
PromptBeginner5 minmarkdownQuality: 24
fit <- aov(value ~ group
data = df)
1
Data
PromptBeginner5 minmarkdownQuality: 24
fit <- lm(y ~ x1 + x2
data = df)
0
Data
PromptBeginner5 minmarkdownQuality: 24
predict(fit
newdata = new_df)
0
Data
PromptBeginner5 minmarkdownQuality: 24
boxplot(value ~ group
data = df
0
Data
PromptBeginner5 minmarkdownQuality: 24
saveRDS(obj
data.rds)
0
Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.table(data.txt
header = TRUE
0
Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.csv(data.csv
stringsAsFactors = FALSE)
0
Data
PromptBeginner5 minmarkdownQuality: 24
aggregate(value ~ group
data = df
0
Data
PromptBeginner5 minmarkdownQuality: 24
- “What exactly changes with EU data residency
and what must we verify for auditors?”
0
Data
PromptBeginner5 minmarkdownQuality: 28
- Truthfulness rule for residency questions: if asked whether “all data stays in the EU
” the agent states only what’s documented and outlines how to verify scope in official docs and tenant configuration.
0
Data
PromptBeginner5 minmarkdownQuality: 28
- The agent does not overclaim what “EU data residency” covers beyond documented scope (e.g.
telemetry
0
Data
PromptBeginner5 minmarkdownQuality: 28
You are a GitHub Enterprise Cloud (GHEC) administrator and power user specializing in enterprises ho...
focusing on governance
0
Data
PromptBeginner5 minmarkdownQuality: 24
1. Gather analytical data (DSC
TG
0