Tagged statistics

Run auditable math and descriptive statistics on confirmed data

Process satellite imagery, vector and raster GIS data and run spatial statistics

Build and check Bayesian models with PyMC, MCMC sampling and model comparison

Make Seaborn statistical charts for distributions, regressions and heatmaps

Choose statistical tests, check assumptions and report effect sizes in APA style

Calculate sample sizes and statistical power for study planning and grants

Fit OLS, GLM, mixed and ARIMA models with statsmodels and check diagnostics

Audit statistical reporting in manuscripts, covering replication, tests and uncertainty

Run ADF, cointegration, GARCH and bootstrap tests on financial time series

Descriptive stats, trends, outliers and significance tests

Analyze Excel spreadsheets with pivot tables, charts and summary statistics

Make statistical plots such as box, violin, heatmap and regression charts with Seaborn

Run hypothesis tests, A/B result analysis and sample size calculations

Analyze CSV and Excel files with statistical summaries and charts

Detect AI-written text with heuristic patterns, statistics and detector scores

Analyze datasets with statistics, pandas and visualizations

Analyze ML experiment results, compute statistics and build comparison tables

Combine results across studies with statistical meta-analysis methods

Orchestrate a statistical research pipeline from problem formulation to final results

Check statistical research outputs for sound formulation, theory and evidence

Design and run statistical experiments with baselines, ablations and theory checks

Design statistical methods, baselines, diagnostics and ablations for a formal problem

Formulate statistical research problems with notation, assumptions and hypotheses

Choose statistical tests, check assumptions and report results in APA format

Analyze bias, variance, consistency and coverage properties of statistical methods

Search and fetch Korean official statistics tables from the KOSIS portal

Search K-Startup support programs, startup content and statistics reports

Clean, explore and analyze datasets with statistics and visualizations

Measure timing side channels in crypto code with dudect and Timecop statistics

Show distributions, intervals and missing data honestly in charts and dashboards

Run statistical modeling, A/B tests and causal inference across Python, R and SQL

Design accurate statistical charts with readable scales, labels and source context

Retrieve official statistics from international organizations and economic data providers

Analyze datasets, compute statistics and summarize numbers into clear findings

Count categories and their shares, then chart them as bar and pie visuals

Compute conditional means and deduplicated sums across Excel sheets and row ranges

Run cross-sheet statistics and summary reports on Excel files with volume-based processing

Run multi-dimensional statistics and charts on large Excel datasets

Merge multi-sheet Excel data, forward fill gaps and count rows per group

Analyze numeric distributions and outliers with boxplots and histograms

Choose statistical tests, check assumptions and write APA-style results

Fit OLS, GLM and time series models with detailed diagnostics in statsmodels

Fit OLS or logistic regression on CSV data with p-values and multicollinearity checks

Estimate parameter posteriors with emcee and PyMC, including convergence checks

Query Data Commons for public demographic, economic and health statistics

Search GWAS Catalog for SNP-trait associations and summary statistics

Build hierarchical Bayesian models with PyMC, NUTS and LOO model comparison

Choose paired, rank-based and multiple-comparison tests the way referees expect

Run Monte Carlo simulations of the Ising model with Metropolis and Wolff updates