Overview
Welcome to the Sequoia Forest Tool, a research visualization tool for creating forest plots from CSV data.
The Sequoia Forest Tool generates forest plots from pre-computed summary statistics supplied as a CSV file. All effect estimates, confidence intervals, and p-values are taken from the input file as provided.
SCREENSHOT - The Sequoia Forest Tool, shown with a finished example forest plot loaded.
Input
- Accepts a single CSV file with a header row and any column names.
- Column names are mapped to plot fields after upload; no fixed schema is required.
- All rows in the file are loaded; row filtering is not available.
Output
- Exportable as image file (SVG/PNG).
- Savable as a project file preserving all configuration.
Tool sections
| Section | Function | Article |
|---|---|---|
| File Upload | Load CSV file | 02 |
| Map Data Columns | Assign CSV columns to plot fields | 03 |
| Grouping & Selection | Y-axis label, grouping variable, multi-level sort | 04 |
| Visible Columns | Tabular data columns displayed alongside the plot | 05 |
| Plot Annotations | Title, description, axis labels | 06 |
| Plot Legends | Significance legend, legend items and layout | 07 |
| Theme & Styling | Colors, fonts, markers, axis visibility | 08 |
| Canvas & Display | Spacing, zoom, row height, padding | 09 |
Basic Workflow
To create a forest plot:
- Upload a CSV file.
- Map the required data columns.
- Select the Y-axis label column.
- Choose the X-axis mode.
- Configure grouping, sorting, and visible columns.
- Add plot title, annotations, and legends.
- Customize the theme and canvas.
- Generate and review the forest plot.
- Save the project if needed.
Refer step-by-step guide with worked example for detailed version.
Tips
- Always check your CSV file before uploading.
- Make sure numeric fields contain valid numbers.
- Use grouping when the dataset has many rows.
- Save your project before closing the browser.