Data Analytics & Visualization Flashcards
7 cards from real TOC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analytics & Visualization flashcards as text
When conducting a workforce analysis, a consultant finds that sales performance correlates with a specific PI profile. The correlation coefficient is r = 0.42. How should this finding be interpreted?
Answer: There is a moderate positive relationship between the profile and sales performance
An r of 0.42 indicates a moderate positive correlation — a meaningful but imperfect relationship between the behavioral profile and sales outcomes.
A talent optimization consultant is asked to identify 'flight risk' employees. Which combination of data sources would produce the most accurate predictive model?
Answer: Compensation data combined with tenure and engagement scores
Combining compensation competitiveness, tenure patterns, and engagement scores provides multi-dimensional predictors that improve attrition model accuracy.
Which data visualization technique is best for showing the distribution of employee performance ratings across a large workforce?
Answer: Histogram
A histogram displays the frequency distribution of a continuous variable like performance ratings, revealing skewness, gaps, and central tendencies.
A company uses a 9-box grid for talent reviews. What two dimensions does this framework typically plot employees against?
Answer: Performance and potential
The 9-box grid plots employees on axes of current performance and future potential, helping identify high potentials, core contributors, and underperformers.
What is the primary risk of using a single metric (e.g., eNPS) as the sole measure of organizational health?
Answer: It oversimplifies complex dynamics and misses leading indicators of talent problems
Relying on a single metric oversimplifies organizational health and can mask underlying issues that composite or multi-dimensional frameworks would reveal.
In the context of people analytics, what does 'data normalization' accomplish?
Answer: It converts different-scale variables to a common scale for fair comparison
Normalization rescales variables to a common range (e.g., 0–1), enabling fair comparison and combination of metrics measured on different scales.
A scatter plot of manager effectiveness scores vs. team engagement scores shows a strong upward trend with most points close to the trendline. What does this visual suggest?
Answer: There is a strong positive correlation between manager effectiveness and team engagement
A tight upward-trending scatter plot indicates a strong positive correlation, though correlation alone does not establish causation.