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Waterfall Chart Creation in Excel

Aug 5, 2025

Overview

This lecture explains how to create waterfall (bridge) charts in Excel using two methods: the legacy stacked column approach and the built-in Waterfall chart feature in newer Excel versions.

What is a Waterfall Chart?

  • Waterfall charts, also called bridge graphs, visually display changes between values (e.g., EBIT from prior to current year).
  • Positive drivers are shown in green and negative drivers in red, providing a clear view of variance analysis.

Method 1: Stacked Column Chart (Older Excel Versions)

  • Prepare separate columns: initial value, final value, positive changes, negative changes, and invisible bars.
  • The chart is built as a stacked column chart with floating bars on invisible bars (set to "no fill" and "no outline").
  • Positive/negative bars are colored green/red and stacked over appropriately calculated invisible bars.
  • Adjust chart formatting: set axis limits, remove the legend, color-code bars, and add data labels for clarity.

Method 2: Built-In Waterfall Chart (Excel 2016/2019/365)

  • Arrange data in two columns: labels and values (including start, increases, decreases, and end).
  • Insert the waterfall chart via Insert → Charts → All Charts → Waterfall.
  • Set start and end values as totals by right-clicking and selecting "Set as Total".
  • Format increase, decrease, and total bars using green, red, and blue colors, respectively.
  • Adjust axis limits, add a chart title, and remove the legend if desired.

Key Terms & Definitions

  • Waterfall Chart — A graphical display of changes in value (e.g., profit) across periods or categories.
  • Stacked Column Chart — A chart type where values are stacked in columns to show sub-totals and total.
  • Invisible Bar — A column in a stacked chart with "no fill" used to position floating bars.

Action Items / Next Steps

  • Practice creating both types of waterfall charts in Excel.
  • Experiment with chart formatting, color coding, and axis settings to enhance clarity.
  • Prepare a sample variance analysis dataset for hands-on practice.