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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.

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