Distribution charts help illustrate the full data spectrum to visualize related and unrelated points, correlations, trends, and clusters. Distribution charts are also used to identify outliers, measures of central tendency (mean, median, mode), and the range (deviation and variance) of information in your values.

.
.
USEFULNESS

• see the full data spectrum and visualize related or unrelated data points
• see if there are any correlations, trends, patterns, shapes, clusters, averages, or outliers
• to illustrate correlation between quantitative data points
• to understand outliers, the normal tendency, and the range of information in your values

.
.
REAL LIFE EXAMPLES

• Visualize the distribution of ages in a group of people
• Visualize the correlations between cause and effect
• Spot bugs or constraints in production or quality control systems
• Visualize sales in various stores, to spot best and worst performing ones

DISTRIBUTION OF A
SINGLE VARIABLE

---

DISTRIBUTION OF
TWO VARIABLES

---

BAR HISTOGRAM

LINE HISTOGRAM

SCATTER PLOT