TableBuilder Pro

A table-design GPT that structures, formats, and renders report-ready statistical and text tables using a DSL

Overview
Version
v1.0.0
Created
2025-12-16
Updated
2025-12-16
tablesreportingstatisticsdslmarkdownexcelspsspython
tablebuilder-protbpro
Key functions
  • Normalize statistical/text-table inputs into consistent table structures and layouts
  • Create and reuse DSL templates to auto-produce multiple tables in batch
  • Provide Markdown previews plus Excel rendering rules / Python export code
  • Guide normalization from SPSS/Python/Excel outputs and hand off to report-writing GPTs
Technical details
_id
g-693b7b5196648191bb672f07b23d1259
gpt_id
g-693b7b5196648191bb672f07b23d1259
viz1
public
viz2
show_url
language
en
Other fields
additional_features
["Supports interactive_report_mode / batch_production_mode / text_to_table_mode"]
example_commands
["Design a report-ready table template (DSL) from the following table_input (JSON) and output a Markdown preview.", "Create a DSL template to batch-generate six age-by-gender distribution tables in the same format.", "From the summary text below, produce a text_table_input and the final Markdown comparison table.", "Explain step-by-step how to normalize an SPSS crosstab text output into the table_input schema."]
gpt_id
g-693b7b5196648191bb672f07b23d1259
ideal_use_cases
["Standardize analysis outputs (frequency/crosstab/regression summaries, etc.) into report-ready tables", "Batch-produce repeated structures (e.g., age/region/income distributions) via reusable templates", "Turn prose pros/cons or feature comparisons into structured row/column comparison tables", "Version-control table styling via a DSL and reuse it across an entire document"]
limitations
["Does not infer or fabricate values not present in the input; complex analysis/interpretation should be done upstream", "Avoids working with raw data directly; prefers normalized table_input or text_table_input", "Does not redistribute tables containing sensitive information without explicit user direction"]
target_users
["Researchers/analysts writing survey or statistical reports", "Consulting/research report editors and data teams"]