Gender distribution
Females: 2 (50%) • Males: 2 (50%)
Female
Male
Talent response completeness
Based on whether a talent paragraph was provided
Female2/2 complete
Male1/2 complete
Dataset snapshot
N = 4| Field of Study | Gender | Talent (excerpt) |
|---|---|---|
| Computer Science | Female | Bridging technical depth with practical application; translates complex analysis into clear, actionable insights; leadership and experimentation. |
| Civil Engineering | Male | Connects big-picture vision with technical execution; breaks down complex problems; designs AI-driven solutions; clarity and teamwork. |
| Aerospace Engineering | Female | Persistence and consistency; curiosity; improves through sustained effort; strong willingness to keep going. |
| Performing Arts | Male | No talent description provided. |
Correlation insights
📊
Field of Study ↔ Gender
- Each field appears once: Computer Science (Female), Civil Engineering (Male), Aerospace Engineering (Female), Performing Arts (Male).
- Overall gender split is even (2 Female, 2 Male), spanning both technical and non-technical fields.
- With one observation per field, no reliable pattern or correlation between field and gender can be inferred from this sample.
Confidence: very low (N=4, one data point per field).
🧠
Talent ↔ Gender
- Both genders articulate the ability to connect complex/technical ideas to clear, usable outcomes.
- Female entries highlight translation/leadership (Computer Science) and persistence/growth mindset (Aerospace).
- Male entries include problem decomposition and teamwork (Civil), with one missing talent description (Performing Arts).
- Talent response completeness differs: Females 2/2 complete; Males 1/2 complete.
Interpretation should be cautious due to one missing male response and small sample size.
🔗
Field of Study ↔ Talent
- Computer Science and Civil Engineering emphasize bridging technical depth with clarity/utility and AI familiarity.
- Aerospace Engineering emphasizes persistence and steady improvement.
- Performing Arts has no provided talent text, preventing linkage for that field.
- Given only one respondent per field, these are descriptive glimpses rather than field-level trends.
Technical ↔ Practical translation
Teamwork
Leadership/Mentoring
Persistence/Growth mindset
⚠️
Notes and limitations
- Very small dataset (N=4) with one record per field; results are not statistically significant.
- One missing talent response (Performing Arts, Male) reduces comparability across categories.
- All insights are derived strictly from Field of Study, Gender, and the provided Talent paragraphs.