Why visualization reveals patterns in MATLAB - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to plot the data points.

MATLAB

x = 1:10;
y = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20];
[1](x, y);
title('Simple Line Plot');

Drag options to blanks, or click blank then click option'

Abar

Bscatter

Cplot

Dhistogram

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scatter' instead of 'plot' will show points but no connecting lines.

The plot function creates a line plot connecting the data points, which helps reveal patterns in the data.

2fill in blank

medium

Complete the code to add grid lines to the plot for better pattern visibility.

MATLAB

x = 1:5;
y = [5, 3, 6, 2, 7];
plot(x, y);
[1] on;

Drag options to blanks, or click blank then click option'

Agrid

Baxis

Chold

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'hold on' does not add grid lines; it allows multiple plots on the same figure.

The grid on command adds grid lines to the plot, making it easier to see patterns and compare values.

3fill in blank

hard

Fix the error in the code to correctly display a bar chart.

MATLAB

values = [3, 7, 5, 9];
[1](values);
title('Bar Chart');

Drag options to blanks, or click blank then click option'

Aplot

Bhist

Cscatter

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot' or 'scatter' instead of 'bar' results in wrong chart types.

The bar function creates a bar chart. Using plot or scatter will not produce bars.

4fill in blank

hard

Fill both blanks to create a scatter plot with red circle markers.

MATLAB

x = 1:6;
y = [2, 5, 3, 7, 4, 6];
scatter(x, y, [1], '[2]');

Drag options to blanks, or click blank then click option'

A100

B'o'

C'r'

D10

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing marker shape ('o') with color ('r').

The first blank sets the marker size (100), and the second blank sets the marker color ('r' for red).

5fill in blank

hard

Fill all three blanks to create a histogram with 15 bins and blue face color.

MATLAB

data = randn(100,1);
histogram(data, [1], 'FaceColor', [2], 'EdgeColor', [3]);

Drag options to blanks, or click blank then click option'

A10

B15

C'b'

D'k'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong number of bins or mixing up face and edge colors.

The number of bins is 15, the face color is blue ('b'), and the edge color is black ('k').