Bar and Column Charts:

• These charts shine when comparing distinct groups or categories.
• Bar charts excel at showcasing differences between categories and tracking changes over time.
• Perfect for representing categorical data.

Pie Charts:

• These charts are designed to display the proportions or percentages of a whole.
• Ideal for nominal or ordinal categories.
• However, stick to fewer categories for easier interpretation.

Line Graphs:

• Champions of displaying trends over time (time-series data) or continuous data.
• Reveal rise and fall patterns effectively.
• Excellent for tracking metrics like sales revenue or website traffic over time.

Scatter Plots:

• Unravel the relationships between two quantitative variables.
• Useful for correlation analysis and identifying trends, clusters, or outliers.

Heat Maps:

• Masters of visualizing large amounts of data using color.
• Ideal for correlation matrices or website/app user behavior analysis.

Histograms:

• Provide insights into the distribution of a single variable.
• Help identify patterns like normal or skewed distributions.

Box Plots:

• Visualize summary statistics of a dataset (min, quartiles, median, max, outliers).
• Perfect for comparing distributions between different categories.

Area Charts:

• Similar to line graphs, they track quantitative values over time intervals.
• Especially useful for comparing two or more categories.