Back to Resources
Data Analytics 8 Slides

Master Your Data With These 5 Essential Charts.

Use and to navigate
Swipe left / right on mobile

Guide Notes & Explanation

Accompanying breakdown for this slide deck

  • Master Your Data With These 5 Essential Charts

The Column Chart

  • Excellent for comparing values across different categories.
  • Ideal for showing changes in data over a period of time.
  • Uses vertical bars to represent the data values.
  • Perfect for monthly sales figures or performance comparisons.
  • Keep categories to a minimum for maximum clarity.
  • Avoid using it for a single data series.

The Bar Chart

  • Essentially a horizontal version of the column chart.
  • Best used when you have long category names.
  • Easier to read and compare values across many categories.
  • Great for ranking items from highest to lowest.
  • Commonly used for survey results or performance metrics.
  • Provides a clean and simple visual comparison.

The Line Chart

  • The go-to chart for visualizing trends over time.
  • Connects individual data points with a continuous line.
  • Perfect for showing progress and identifying patterns.
  • Excellent for tracking metrics like revenue growth or website traffic.
  • Can display multiple lines to compare different categories.
  • Avoid using with non-sequential or non-time-based data.

The Pie Chart

  • Shows the relationship of parts to a whole.
  • Each slice represents a proportion of the total.
  • Best used for simple compositions with few categories.
  • Effective for highlighting a significant segment, like market share.
  • Limit the number of slices to prevent a cluttered visual.
  • Avoid using for comparing multiple categories precisely.

The Scatter Chart

  • Reveals the relationship between two different numerical values.
  • Each point represents a single data point on two axes.
  • Used to identify correlations, clusters, and outliers.
  • Perfect for analyzing if one variable affects another.
  • Essential for scientific data and statistical analysis.
  • Add a trend line to make the correlation clearer.

Pro Chart Selection Tips

  • Know your goal: comparison, composition, distribution, or trend.
  • Match the chart type directly to that analytical goal.
  • Keep it simple; avoid unnecessary decorations or 3D effects.
  • Use clear and concise titles and axis labels.
  • Limit color use to only what is necessary for clarity.
  • Always ensure your data is accurate and clean first.

Your Next Steps

  • Open Power BI and practice creating each chart type.
  • Experiment with the formatting options for each visual.
  • Try using the same dataset in different charts to see the impact.
  • Follow this page for more Power BI tips and insights.
  • Share this carousel with your network if you found it helpful.