Power BI · DAX · interactive data storytelling

Exploring Myers-Briggs Personality Types

A seven-view Power BI experience that examines personality-type frequencies, trait patterns, a simplified type finder, and a two-type comparison tool.

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Project brief

Question

What do type, role, trait, and reported-gender frequencies reveal within the available personality dataset?

Data

16 personality types organized by five dimensions, role, subtype, frequency, and reported gender from published 16Personalities reference data.

Method

Interactive Power BI views using bar charts, bookmarks, buttons, slicers, cards, disconnected tables, and DAX measures.

Explore the analysis

From distribution patterns to type-level exploration.

Frequency overview

Sentinels account for the largest share of the dataset.

Role frequency, reported gender distribution, and all 16 types sit in one frame. Sentinels lead at 11.53%, followed by Explorers (6.75%), Diplomats (4.13%), and Analysts (2.60%). The 50% reference line and type-level bars preserve the detail behind those role totals.

Open overview in Power BI ↗

Personality trait analysis

Four trait lenses, one comparable structure.

Interactive dashboardClick Energy, Mind, Nature, or Tactics in the dashboard →

Each trait uses the same visual grammar: frequency comparison, role composition, and gender dominance across individual types. Read the frequency bars first, then use role composition to separate a broad pattern from the framework’s built-in structure.

Open personality traits in Power BI ↗

Simplified type finder

Five selections resolve to a complete type profile.

The type finder translates Energy, Mind, Nature, Tactics, and Identity selections into a personality type, subtype, role, description, and frequency. Because every input remains visible, visitors can inspect how the result is derived. It is an educational exploration tool, not a validated assessment.

Open type finder in Power BI ↗

Compatibility test

Two independent selections make the comparison transparent.

Disconnected tables let visitors select any two complete personality types without one slicer filtering the other. DAX compares the five dimensions and translates the count of matching traits into a friendly label. It is a similarity score, not a claim about real-world relationships.

Open compatibility test in Power BI ↗

Method & limits

Designed for exploration, not deterministic conclusions.

The comparison model combines type and subtype for complete selections, then uses disconnected tables to preserve independent slicers. DAX measures compare Energy, Mind, Nature, Tactics, and Identity to generate the similarity label. Frequency and reported-gender patterns describe the available source data and may not generalize beyond it; neither the type finder nor compatibility result should be read as diagnostic, predictive, or a measure of relationship quality.

Outcome

A personality framework made more navigable through data storytelling.

The project pairs aggregate analysis with interactive exploration, helping visitors understand the distribution behind the framework before using it to explore individual types.