Training Data Visualization Placement Test Practice — Data Visualization
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Placement Test Practice — Data Visualization

25 min Data Visualization

Placement Test Practice — Data Visualization

Practice Test — 20 Questions

1. Best chart for sales over 12 months?
2. Histogram: continuous or categorical data?
3. $r = 0.45$. Interpret.
4. What does $r^2 = 0.64$ mean?
5. Name two ways to mislead with a graph.
6. Sturges' bins for $n = 200$?
7. Regression equation: $\hat{y}=5+2x$. Predict $y$ at $x=10$.
8. Best chart for comparing 3 countries' GDP?
9. What is a residual?
10. Box plot: what do the box edges represent?
11. Lie factor > 1 means the graphic ___ the effect.
12. Right-skewed histogram: mean ___ median.
13. Does correlation imply causation?
14. What is extrapolation?
15. Best chart for showing outliers?
16. What is data-ink ratio?
17. When is a log scale useful on the y-axis?
18. Side-by-side box plots compare what?
19. $r = -1$. What does the scatter plot look like?
20. Name one advantage of a scatter plot over a table.
Show Answer Key

1. Line chart

2. Continuous (quantitative)

3. Moderate positive linear association

4. 64% of variance in $y$ explained by $x$

5. Truncated axis, area/volume distortion (also: cherry-picked range, 3-D effects)

6. $\lceil 1+\log_2 200 \rceil = \lceil 8.64 \rceil = 9$

7. $\hat{y}=5+20=25$

8. Bar chart

9. Observed value minus predicted value

10. $Q_1$ (25th percentile) and $Q_3$ (75th percentile)

11. Exaggerates

12. Greater than (>)

13. No

14. Predicting outside the range of observed data

15. Box plot

16. Proportion of a graphic's ink devoted to data

17. When data spans several orders of magnitude or has exponential growth

18. Distributions of a variable across different groups

19. All points on a perfectly straight line with negative slope

20. Instantly reveals patterns, clusters, outliers, and trends

Python Scientific Stack — NumPy, Matplotlib & Pandas Back to Module