Solution
Data visualization represents data as graphs or charts so patterns, trends, and insights can be seen quickly.
Bar charts: Compare categories. Each bar is a category; height (or length) is the value. Use them for sales of different products (Figure 5.1).
Line graphs: Show trends over time by connecting data points. Use them for temperature over a week (Figure 5.2).
Histograms: Show the distribution of a dataset by grouping values into bins. Use them for the spread of exam scores (Figure 5.3).
Scatterplots: Show the relationship between two variables. Each point is one observation. Use them for hours studied versus exam scores (Figure 5.4).
Boxplots (whisker plots): Summarize median, quartiles, and outliers. Use them to compare exam scores of different classes (Figure 5.5).
Excel, Google Sheets, Python (Matplotlib), and Tableau can create these charts. Choose the type that matches the question: comparison, trend, distribution, relationship, or spread.