data-analysis
538
quantitative-methods
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
a5c-ai
data-ai
sorting
Stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
538
qualitative-analysis
Conduct systematic qualitative data analysis using grounded theory, thematic analysis, and content analysis with NVivo or Atlas.ti
a5c-ai
data-ai
data-analysis
538
causal-inference-methods
Apply propensity score methods, instrumental variables, difference-in-differences, and regression discontinuity designs for causal identification
a5c-ai
data-ai
data-analysis
538
quality-metrics-measurement
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
a5c-ai
data-ai
data-analysis
538
learning-objectives-writing
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
a5c-ai
data-ai
data-analysis
538
learning-analytics-interpretation
Analyze learner data from LMS reports, assessments, and engagement metrics to identify patterns and inform instructional decisions
a5c-ai
data-ai
data-analysis
538
curriculum-gap-analysis
Identify gaps, overlaps, and misalignments in curriculum coverage through systematic comparison with standards and learning progressions
a5c-ai
data-ai
data-analysis
538
statistical-reporting-formatter
Skill for formatting statistical results according to reporting standards
a5c-ai
data-ai
data-analysis
538
power-analysis-calculator
Skill for statistical power analysis and sample size calculation
a5c-ai
data-ai
data-analysis
538
interactive-dashboard-builder
Skill for building interactive data dashboards
a5c-ai
data-ai
data-analysis
538
hypothesis-generator
Automated hypothesis generation using abductive reasoning and knowledge graph traversal
a5c-ai
data-ai
data-analysis
538
sympy-computer-algebra
Symbolic computation using SymPy for Python-based mathematical analysis
a5c-ai
data-ai
data-analysis
538
power-sample-size-calculator
Statistical power analysis and sample size determination
a5c-ai
data-ai
data-analysis
538
interpolation-approximation
Function interpolation and approximation methods
a5c-ai
data-ai
data-analysis
538
combinatorial-enumeration
Combinatorial object generation and counting
a5c-ai
data-ai
data-analysis
538
recurrence-solver
Solve recurrence relations using multiple methods including Master Theorem and generating functions
a5c-ai
data-ai
data-analysis
532
moai-lang-r
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
modu-ai
data-ai
data-analysis
529
statistical-tests-selector
Statistical test selection decision tree, per-test assumptions/formulas/interpretation guide, effect size, and power analysis. Use this skill for statistical analysis method selection involving 'statistical test', 't-test', 'ANOVA', 'chi-squared', 'correlation analysis', 'p-value', 'hypothesis testing', 'normality test', 'nonparametric test', 'effect size', etc. Enhances the analyst's statistical analysis capabilities. Note: data cleaning and visualization are outside this skill's scope.
revfactory
data-ai
data-analysis
529
visualization-chooser
Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide. Use this skill for data visualization design involving 'visualization selection', 'chart type', 'graph types', 'matplotlib', 'seaborn', 'plotly', 'heatmap', 'scatter plot', 'box plot', 'dashboard layout', etc. Enhances the visualizer's visualization design capabilities. Note: statistical analysis and data cleaning are outside this skill's scope.
revfactory
data-ai
data-analysis
529
data-analysis
๋ฐ์ดํฐ ๋ถ์ ํ๋ก์ ํธ์ ํ์์ ๋ถ์(EDA), ๋ฐ์ดํฐ ์ ์ , ํต๊ณ ๋ถ์, ์๊ฐํ, ๋ณด๊ณ ์ ์์ฑ์ ์์ด์ ํธ ํ์ด ํ์ ํ์ฌ ํ ๋ฒ์ ์ํํ๋ ํ ๋ถ์ ํ์ดํ๋ผ์ธ. '๋ฐ์ดํฐ ๋ถ์ํด์ค', 'EDA ํด์ค', 'ํ์์ ๋ถ์', 'ํต๊ณ ๋ถ์', '๋ฐ์ดํฐ ์๊ฐํ', '๋ถ์ ๋ณด๊ณ ์ ์จ์ค', 'CSV ๋ถ์', '๋ฐ์ดํฐ ์ธ์ฌ์ดํธ ๋ฝ์์ค', '๋ฐ์ดํฐ ์ ์ ', '์ด์์น ๋ถ์' ๋ฑ ๋ฐ์ดํฐ ๋ถ์ ์ ๋ฐ์ ์ด ์คํฌ์ ์ฌ์ฉํ๋ค. ๋จ, ์ค์๊ฐ ๋ฐ์ดํฐ ์คํธ๋ฆฌ๋ฐ, ML ๋ชจ๋ธ ํ์ต/๋ฐฐํฌ, BI ๋์๋ณด๋ ์๋ฒ ๊ตฌ์ถ์ ์ด ์คํฌ์ ๋ฒ์๊ฐ ์๋๋ค.
revfactory
data-ai
data-analysis
529
statistical-tests-selector
ํต๊ณ ๊ฒ์ ์ ํ ์์ฌ๊ฒฐ์ ํธ๋ฆฌ, ๊ฒ์ ๋ณ ๊ฐ์ /๊ณต์/ํด์ ๊ฐ์ด๋, ํจ๊ณผ ํฌ๊ธฐ์ ๊ฒ์ ๋ ฅ ๋ถ์. 'ํต๊ณ ๊ฒ์ ', 't-๊ฒ์ ', 'ANOVA', '์นด์ด์ ๊ณฑ', '์๊ด๋ถ์', 'p-value', '๊ฐ์ค ๊ฒ์ ', '์ ๊ท์ฑ ๊ฒ์ ', '๋น๋ชจ์ ๊ฒ์ ', 'ํจ๊ณผ ํฌ๊ธฐ' ๋ฑ ํต๊ณ ๋ถ์ ๋ฐฉ๋ฒ ์ ํ ์ ์ด ์คํฌ์ ์ฌ์ฉํ๋ค. analyst์ ํต๊ณ ๋ถ์ ์ญ๋์ ๊ฐํํ๋ค. ๋จ, ๋ฐ์ดํฐ ์ ์ ๋ ์๊ฐํ๋ ์ด ์คํฌ์ ๋ฒ์๊ฐ ์๋๋ค.
revfactory
data-ai
data-analysis
529
visualization-chooser
๋ฐ์ดํฐ ์ ํ๊ณผ ๋ถ์ ๋ชฉ์ ์ ๋ฐ๋ฅธ ์๊ฐํ ์ ํ ์ ํ ๋งคํธ๋ฆญ์ค, matplotlib/seaborn/plotly ๊ตฌํ ํจํด ๊ฐ์ด๋. '์๊ฐํ ์ ํ', '์ฐจํธ ์ ํ', '๊ทธ๋ํ ์ข ๋ฅ', 'matplotlib', 'seaborn', 'plotly', 'ํํธ๋งต', '์ฐ์ ๋', '๋ฐ์คํ๋กฏ', '๋์๋ณด๋ ๋ ์ด์์' ๋ฑ ๋ฐ์ดํฐ ์๊ฐํ ์ค๊ณ ์ ์ด ์คํฌ์ ์ฌ์ฉํ๋ค. visualizer์ ์๊ฐํ ์ค๊ณ ์ญ๋์ ๊ฐํํ๋ค. ๋จ, ํต๊ณ ๋ถ์์ด๋ ๋ฐ์ดํฐ ์ ์ ๋ ์ด ์คํฌ์ ๋ฒ์๊ฐ ์๋๋ค.
revfactory
data-ai
data-analysis
529
audit-report
๋ด๋ถ๊ฐ์ฌ ๋ณด๊ณ ์ ์์ฑ ํ์ดํ๋ผ์ธ. ๊ฐ์ฌ ๋ฒ์ ์ค์ ๋ถํฐ ์ฒดํฌ๋ฆฌ์คํธ, ๋ฐ๊ฒฌ์ฌํญ, ๊ฐ์ ๊ถ๊ณ , ์ถ์ ๋์ฅ๊น์ง ์์ด์ ํธ ํ์ด ํ์ ์์ฑํ๋ค. '๊ฐ์ฌ ๋ณด๊ณ ์ ์์ฑํด์ค', '๋ด๋ถ๊ฐ์ฌ ์ค๋น', '๊ฐ์ฌ ์ฒดํฌ๋ฆฌ์คํธ ๋ง๋ค์ด์ค', '๊ฐ์ฌ ๋ฐ๊ฒฌ์ฌํญ ์ ๋ฆฌ', '์์ ์กฐ์น ๊ณํ', '๊ฐ์ฌ ์ถ์ ๋์ฅ', '์ปดํ๋ผ์ด์ธ์ค ๊ฐ์ฌ', '์ด์ ๊ฐ์ฌ ๋ณด๊ณ ์' ๋ฑ ๋ด๋ถ๊ฐ์ฌ ์ ๋ฐ์ ์ด ์คํฌ์ ์ฌ์ฉํ๋ค. ์ธ๋ถ ํ๊ณ๊ฐ์ฌ, ์ธ๋ฌด์กฐ์ฌ, ๋ฒ์ ์์ก ๊ด๋ จ ๊ฐ์ฌ๋ ์ด ์คํฌ์ ๋ฒ์๊ฐ ์๋๋ค.
revfactory
data-ai