What's included

• Data Cleaning and Preparation

  Cleanse and structure your data for analysis. This includes handling missing values, identifying outliers, and transforming data for analysis.

• Descriptive Statistics and Visualizations

  Generate summary statistics, frequencies, and visually engaging charts to understand the key characteristics of your data.

• Statistical Analysis

  Conduct appropriate statistical analyses based on your project goals. This may include power analyses, hypothesis testing, regression analysis, propensity scoring, testing treatment differences, mixed-effects modeling, meta-analysis and more.

• (Semi-Automated) Data Report

  Create a clear and concise report summarizing findings, including tables, graphs, and insights derived from the analysis using RQuarto and RMarkdown.

• R Script and Code

  Provide you with the R code and scripts used for data analysis and visualization, allowing for future reproducibility and customization.

• Technical Writing Support

  Help you draft sections of reports, grant proposals, or publications requiring statistical insights and analysis.