Data Tables & Reports

Professional data presentation is essential for research communication[1]. This page demonstrates advanced table formatting and reporting capabilities.

Research Dataset Summary

Interactive Data Table

Statistical Summary Report

Table 1: Statistical Summary of Treatment Effects[2]

Formatted Publication Table

Table 2: Primary Outcome Results by Treatment Group[3]

*p < 0.05; **p < 0.01; ***p < 0.001

Missing Data Report

Table 3: Study Completion by Site and Treatment Group[4]

Export Options

Tables can be exported in multiple formats[5]:

Best Practices for Research Tables

  1. Clear Headers: Use descriptive column names with units
  2. Appropriate Precision: Report statistics to meaningful decimal places
  3. Missing Data: Always report and explain missing values
  4. Footnotes: Use footnotes for methodological details[6]
  5. Consistency: Maintain consistent formatting across tables

  1. Effective table design is crucial for research communication. Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press. ↩︎

  2. Statistical summaries should include measures of central tendency and dispersion. The 95% confidence interval provides the range of plausible values for the population parameter. ↩︎

  3. Publication tables should follow journal guidelines. Most biomedical journals require reporting of means ± standard deviations and p-values for hypothesis tests. ↩︎

  4. Missing data patterns can introduce bias. Little, R.J.A., & Rubin, D.B. (2019). Statistical Analysis with Missing Data (3rd ed.). Wiley. ↩︎

  5. Data export functionality ensures reproducibility and enables secondary analysis. Follow FAIR principles: Findable, Accessible, Interoperable, and Reusable. ↩︎

  6. Table footnotes should clarify abbreviations, statistical methods, and any data transformations applied. Keep footnotes concise but complete. ↩︎