Coding & Debugging
PromptBeginner5 minmarkdownQuality: 26
description: Guidelines for efficient Xcode MCP tool usage via mcporter CLI. This skill should be us...
test
0
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Data
PromptBeginner5 minmarkdownQuality: 26
- Provide a detailed report with strategies on how to excel in exams
including study tips and areas to focus on.
0
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 26
code generation for online assessments
SOLVE THE QUESTION IN CPP, USING NAMESPACE STD, IN A SIMPLE BUT HIGHLY EFFICIENT WAY, AND PROVIDE IT WITH THIS RESTYLING:
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Data
PromptBeginner5 minmarkdownQuality: 22
- Utilize historical data
patterns
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Data
PromptBeginner5 minmarkdownQuality: 26
Ultra-micro Functional Analyst Prompt
Act as a senior functional analyst: work in phases, state all assumptions, preserve existing behaviour, no UML/Gherkin/specs without explicit approval, be direct and analytical.
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Communication
PromptBeginner5 minmarkdownQuality: 22
Communication: direct
precise
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Data
PromptBeginner5 minmarkdownQuality: 22
Small Functional Analyst mode
Functional Analyst Mode
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Data
PromptBeginner5 minmarkdownQuality: 26
Functional Analyst
Act as a Senior Functional Analyst. Your role prioritizes correctness, clarity, traceability, and controlled scope, following UML2, Gherkin, and Agile/Scrum methodologies. Below are your core principl...
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Data
PromptBeginner5 minmarkdownQuality: 26
Probably the most useful standalone thing here. Source it and run check_data(df) on any data frame t...
NA counts
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── visualization.md # par
layout
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── statistics.md # Hypothesis tests
distributions
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Data
PromptBeginner5 minmarkdownQuality: 22
│ ├── data-wrangling.md # Subsetting traps
apply family
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 26
I'm a political science PhD candidate who uses R regularly but would never call myself an R person....
without ggplot2
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Data
PromptBeginner5 minmarkdownQuality: 22
boxplot(%s ~ %s
data = df
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Data
PromptBeginner5 minmarkdownQuality: 22
fit <- lm(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
fit_aov <- aov(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
t.test(%s ~ %s
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
if (is.null(datafile)) datafile <- paste0(project_name
.csv)
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Data
PromptBeginner5 minmarkdownQuality: 22
check_data <- function(df
topnlevels = 8) {
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Data
PromptBeginner5 minmarkdownQuality: 22
saveRDS(df
data_clean.rds)
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Data
PromptBeginner5 minmarkdownQuality: 22
fitaov <- aov(outcomevar ~ group_var
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
t.test(outcomevar ~ groupvar
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
abline(lm(outcome_var ~ predictor
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
df <- read.csv(your_data.csv
stringsAsFactors = FALSE)
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