# Analysis — Curated Skills


> 45 recommended skills for data analysis, statistics, visualization, and econometrics.



## Dataviz


| Skill | Description |
|-------|-------------|
| [algorithm-visualizer-guide](../../skills/analysis/dataviz/algorithm-visualizer-guide/) | Guide to Algorithm Visualizer for interactive algorithm exploration |
| [bokeh-visualization-guide](../../skills/analysis/dataviz/bokeh-visualization-guide/) | Guide to Bokeh for interactive browser-based research visualizations |
| [chart-image-generator](../../skills/analysis/dataviz/chart-image-generator/) | Generate publication-quality chart images from research data |
| [color-accessibility-guide](../../skills/analysis/dataviz/color-accessibility-guide/) | Colorblind-friendly palettes and accessible visualization design |
| [d3-visualization-guide](../../skills/analysis/dataviz/d3-visualization-guide/) | Guide to D3.js for building custom interactive data visualizations |
| [echarts-visualization-guide](../../skills/analysis/dataviz/echarts-visualization-guide/) | Guide to Apache ECharts for interactive research data dashboards |
| [geospatial-viz-guide](../../skills/analysis/dataviz/geospatial-viz-guide/) | Create maps, choropleths, and spatial data visualizations for research |
| [interactive-viz-guide](../../skills/analysis/dataviz/interactive-viz-guide/) | Interactive data visualization with Plotly, ECharts, and D3 |
| [metabase-analytics-guide](../../skills/analysis/dataviz/metabase-analytics-guide/) | Guide to Metabase for open-source research data analytics and dashboards |
| [network-visualization-guide](../../skills/analysis/dataviz/network-visualization-guide/) | Visualize networks, graphs, citation maps, and relational data |
| [plotly-interactive-guide](../../skills/analysis/dataviz/plotly-interactive-guide/) | Guide to Plotly.py for interactive scientific visualizations in Python |
| [publication-figures-guide](../../skills/analysis/dataviz/publication-figures-guide/) | Create journal-quality scientific figures with proper styling and accessibility |
| [python-dataviz-guide](../../skills/analysis/dataviz/python-dataviz-guide/) | Publication-quality data visualization with matplotlib, seaborn, and plotly |
| [redash-analytics-guide](../../skills/analysis/dataviz/redash-analytics-guide/) | Guide to Redash for SQL-driven research data dashboards and sharing |


## Econometrics


| Skill | Description |
|-------|-------------|
| [causal-inference-guide](../../skills/analysis/econometrics/causal-inference-guide/) | Causal inference methods including DiD, IV, RDD, and synthetic control |
| [econml-causal-guide](../../skills/analysis/econometrics/econml-causal-guide/) | Apply EconML for causal inference combining machine learning and econometrics |
| [iv-regression-guide](../../skills/analysis/econometrics/iv-regression-guide/) | Apply instrumental variables, 2SLS, and address endogeneity issues |
| [mostly-harmless-guide](../../skills/analysis/econometrics/mostly-harmless-guide/) | Replication code and guide for Mostly Harmless Econometrics methods |
| [panel-data-analyst](../../skills/analysis/econometrics/panel-data-analyst/) | Expert panel data regression analysis with fixed effects and GMM |
| [panel-data-guide](../../skills/analysis/econometrics/panel-data-guide/) | Panel data analysis with fixed and random effects models |
| [python-causality-guide](../../skills/analysis/econometrics/python-causality-guide/) | Learn causal inference with Python using the Brave and True handbook |
| [robustness-checks](../../skills/analysis/econometrics/robustness-checks/) | Sequential robustness checks in Stata with confounder blocks |
| [stata-accounting-guide](../../skills/analysis/econometrics/stata-accounting-guide/) | STATA code for empirical accounting and financial economics research |
| [stata-analyst-guide](../../skills/analysis/econometrics/stata-analyst-guide/) | Stata workflows for publication-ready sociology and social science research |
| [stata-reference-guide](../../skills/analysis/econometrics/stata-reference-guide/) | Comprehensive Stata reference covering syntax, econometrics, and 20+ packages |
| [time-series-guide](../../skills/analysis/econometrics/time-series-guide/) | Apply ARIMA, VAR, cointegration, and time series econometric methods |


## Statistics


| Skill | Description |
|-------|-------------|
| [bayesian-statistics-guide](../../skills/analysis/statistics/bayesian-statistics-guide/) | Bayesian inference methods including prior selection, MCMC, and model comparison |
| [data-anomaly-detection](../../skills/analysis/statistics/data-anomaly-detection/) | Detect anomalies and outliers in research data using statistical methods |
| [hypothesis-testing-guide](../../skills/analysis/statistics/hypothesis-testing-guide/) | Statistical hypothesis testing, power analysis, and significance reporting |
| [meta-analysis-guide](../../skills/analysis/statistics/meta-analysis-guide/) | Conduct systematic meta-analyses with effect size pooling and heterogeneity a... |
| [ml-experiment-tracker](../../skills/analysis/statistics/ml-experiment-tracker/) | Plan reproducible ML experiment runs with parameters and metrics tracking |
| [nonparametric-tests-guide](../../skills/analysis/statistics/nonparametric-tests-guide/) | Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods |
| [power-analysis-guide](../../skills/analysis/statistics/power-analysis-guide/) | Sample size calculation and statistical power analysis guide |
| [sem-guide](../../skills/analysis/statistics/sem-guide/) | Structural equation modeling with latent variables guide |
| [survival-analysis-guide](../../skills/analysis/statistics/survival-analysis-guide/) | Conduct Kaplan-Meier, Cox regression, and time-to-event analyses |


## Wrangling


| Skill | Description |
|-------|-------------|
| [csv-data-analyzer](../../skills/analysis/wrangling/csv-data-analyzer/) | Load, explore, clean, and analyze CSV data with statistical summaries |
| [data-cleaning-pipeline](../../skills/analysis/wrangling/data-cleaning-pipeline/) | Systematic data cleaning workflows for research datasets |
| [data-cog-guide](../../skills/analysis/wrangling/data-cog-guide/) | Upload messy CSVs with minimal prompting for deep automated analysis |
| [missing-data-handling](../../skills/analysis/wrangling/missing-data-handling/) | Diagnose missing data patterns and apply appropriate imputation strategies |
| [pandas-data-wrangling](../../skills/analysis/wrangling/pandas-data-wrangling/) | Data cleaning, transformation, and exploratory analysis with pandas |
| [questionnaire-design-guide](../../skills/analysis/wrangling/questionnaire-design-guide/) | Questionnaire and survey design with Likert scales and coding |
| [stata-data-cleaning](../../skills/analysis/wrangling/stata-data-cleaning/) | Clean, transform, and validate messy research data using Stata |
| [streamline-analyst-guide](../../skills/analysis/wrangling/streamline-analyst-guide/) | End-to-end data analysis AI agent with Streamlit UI |
| [survey-data-processing](../../skills/analysis/wrangling/survey-data-processing/) | Clean, recode, and prepare survey response data for analysis |
| [text-mining-guide](../../skills/analysis/wrangling/text-mining-guide/) | Apply NLP and text mining techniques to research text data |
