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Best practices
Updated over 2 weeks ago

Data Visualization is an essential tool for interpreting and communicating data clearly and effectively. Following best practices ensures a presentation that is understandable, accurate, and engaging for the audience.

Rules and Best Practices

  • Ensure that users can quickly find the information they’re looking for on a single page.

  • Make it easy to locate the page containing the desired information.

  • Organize pages by themes (e.g., types of indicators, cost or revenue centers, focus on key indicators, etc.).

  • Each page should represent only one category of indicators or one type of data (e.g., one page for P&L, one for expenses, one for profitability ratios).

  • For a given theme, place global indicators at the top and details at the bottom.

  • For large tables, dedicate a specific page to them.

1. Define Objectives

Before creating a visualization, clarify your goals: What key message should be conveyed? Who is the target audience?

Ensure that each chart answers a specific question and helps in better understanding the data.

2. Choose the Right Type of Visualization

  • Bar Charts

    • Illustrate results and highlight peak periods.

    • Comparison and trends.

    • Best for: values, amounts. Less suitable for ratios and percentages.

  • Line Charts

    • Show trends and developments, not detailed amounts.

    • Comparison, projection, trends.

    • Best for: ratios and percentages. Less suitable for: values, amounts.

  • Pie Charts

    • Limit to a maximum of six sections for readability.

    • Comparison and distribution without a time component.

    • Use sparingly; should not be the only chart for an indicator.

Use of Colors

The widget settings allow you to:

  • Set the color of the dataset (line of a chart, bar in a bar chart, table row background, or pie chart section).

  • Set the widget’s background color.

Color Usage Tips

  • Color Consistency: For indicators repeated across pages, use the same color or shades.

  • Widget Background Color: Avoid dark colors.

  • Avoid Red and Green: These colors are often perceived as positive/negative.

  • Dataset for Current and Previous Periods: Use the same color shade, emphasizing the current period.

  • Actual vs. Budgeted Dataset: Use a neutral color for projections.

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