AddMaple V3

Welcome to AddMaple V3 — launched September 29, 2025. This release brings faster analysis, richer charts, deeper statistics, and a big change to how you manage your data: you can now fully control cleaning and preparation.

Highlights

• You control prep: Combine/separate columns, group/ungroup, edit types and titles, tidy legends, and use Clean with AI.
• New charts: Box plots, mean dot plots, improved dot (bubble) charts with Fixed vs Auto scale, plus pie/donut/rose and geographic maps.
• New stats: Expanded engine with Chi‑Square, T‑Test, ANOVA, Kruskal‑Wallis, correlations, regression, significance shading, key drivers, and NPS.
• Faster by default: Instant summaries for big files, SAV/SPSS support, and responsive UI.
• Dashboards & Insights: Streamlined Story Dashboards, publish/share with password, explorable data, and better collection-to-dashboard flows.

Data prep you control

You can now fix what used to be automatic-only. Prepare data precisely the way you need.

• Manage Columns: rename, change types, hide/unhide, review merges/groups: see Manage columns.
• Combine columns: merge single/multi-select exports back into one variable; confirm positive/negative values where needed: see Combine columns.
• Separate columns: undo automatic or manual combines when you want originals back: see Combine columns.
• Group / Ungroup: organize Likert/matrix questions as logical sets; edit group and item display names: see Group columns and Grouping from charts.
• Legend control: rename, reorder, hide/show, merge categories, assign colors, toggle Ordered vs Independent: see Legend and Ordered vs Independent.
• Clean with AI: auto‑standardize labels, order scales, optionally merge near‑duplicates with guardrails: see Clean with AI.
• Custom bins: fixed numeric/date ranges with live previews: see Number binning and Date binning.
• Weighting: apply a weight column; charts, tables, and tests use weighted bases: see Weighting.

Charts

• Dot charts (bubble) with scale control: choose 0–100 (fixed) or Auto Scale; ideal for percentage comparisons and grouped pivots: see Dot charts.
• Box plots & Mean dot plots for numeric distributions and group comparisons: see Box plots and mean dot plots.
• Additional charts for single‑column exploration: pie, donut, rose; automatic geographic maps when location data is detected: see Additional charts.
• Likert charts: group related opinion scales, align on neutral or left, show numbers/average: see Grouped Likert and Opinion scale columns.

Related basics: Why horizontal bars, How to pivot, Add a pivot, Aggregation.

Statistics

V3 expands automatic testing and interpretability. You explore, we surface the math.

• At a glance: see the summary card on pivot views; click through to full details: see Statistical calculations.
• Tests (auto‑selected):
  • Categorical vs categorical: Chi‑Square
  • Numeric vs 2 groups: T‑Test
  • Numeric vs 3+ groups: ANOVA or Kruskal‑Wallis when assumptions are weak
  • Numeric vs numeric: Correlation (Pearson/Spearman)
• Significance shading inside pivot tables: z‑score tiers, Holm adjustment, practical‑effect guards: see Significance testing.
• Related columns view: scan strongest relationships; click to jump to a pivot: see Related columns.
• Regression: linear and logistic with visuals: see Regression.
• Key drivers: random‑forest importance to explain outcomes: see Key driver analysis.
• NPS: automatic detection and scoring for 0–10 scales: see NPS.

Dashboards, sharing, and Insights

• Insights (My Collection): save analyses, tag, export, and add to dashboards: see Insights overview, Using My Collection, and Add to dashboard.
• Story Dashboards: create pages, add text/sections/images/videos/charts, arrange and style: see Dashboards, Create, Add items, Arrange, Edit items, Styles.
• Publish & protect: public link or password: see Publish and Password.
• Explorable data: let viewers open charts and explore selected columns: see Explorable.
• Copy & paste items across pages/dashboards: see Copy & paste.

Table and row views

• Interactive tables: add/remove columns, sort, filter by clicking values: see Add/remove columns, Sort, Filter from table.
• Row‑by‑row: read full responses with context; add filters from rows; quick navigation: see Understand row view, Add filter from row, Navigate rows.
• Status line logic: rows vs results, hiding vs filtering, weighted bases: see Filtering vs hiding.

Data sources and scale

• Excel: multi‑sheet support and header handling: see Open Excel files.
• SAV/SPSS: open directly, analyze instantly, or convert: see Analyze SAV or SPSS files and Open .sav without SPSS.
• Big files: millions of rows on modern machines; everything runs in your browser: see Largest file size and How AddMaple works without uploading.