Data
PromptBeginner5 minmarkdownQuality: 22
- Design comprehensive system architectures with clear component boundaries
data flow paths
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7,145 skills indexed with the new KISS metadata standard.
Showing 24 of 7,145Categories: Data & Insights, Data, Marketing
Data
PromptBeginner5 minmarkdownQuality: 22
* Positioning: Fairly cites Entropy/MDPI priors? Compares apples-to-apples (e.g.
same datasets
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Marketing
PromptBeginner5 minmarkdownQuality: 29
Neon Logo Design for Streaming Platform
Circular neon logo, minimalist play button inside film strip frame, electric blue and hot pink gradient glow, dark background, cyberpunk aesthetic, centered geometric icon, flat vector design, modern....
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Data
PromptBeginner5 minmarkdownQuality: 22
Project Builder
Think like a vector analyst
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Data
PromptBeginner5 minmarkdownQuality: 26
Greeting: Welcome to ${your_website}. I'm the AI coordinator. Are you looking for quantitative advis...
or are you interested in our analyst training programs?
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Data
PromptBeginner5 minmarkdownQuality: 22
Independence: We report what the data supports
not what the client prefers.
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Data
PromptBeginner5 minmarkdownQuality: 26
Listar todas as fontes consultadas com URLs
datas de acesso e breve descrição da relevância de cada uma.
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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.
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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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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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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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