Thursday, 19 February 2026

๐Ÿ’ง Day 31: Waterfall Chart in Python

 



๐Ÿ’ง Day 31: Waterfall Chart in Python


๐Ÿ”น What is a Waterfall Chart?

A Waterfall Chart shows how an initial value is affected by a series of positive and negative changes, leading to a final value.

It’s also called a:

  • Bridge Chart

  • Cascade Chart


๐Ÿ”น When Should You Use It?

Use a waterfall chart when:

  • Explaining profit & loss

  • Showing revenue breakdown

  • Analyzing budget changes

  • Tracking step-by-step financial impact


๐Ÿ”น Example Scenario

Company Profit Calculation:

  • Starting Revenue

  • Marketing Costs

  • Operational Costs

  • Taxes

  • Final Profit

A waterfall chart clearly shows how each component impacts the final number.


๐Ÿ”น Key Idea Behind It

๐Ÿ‘‰ Start with an initial value
๐Ÿ‘‰ Add/Subtract intermediate changes
๐Ÿ‘‰ End with a final total
๐Ÿ‘‰ Makes financial storytelling easy


๐Ÿ”น Python Code (Waterfall Chart using Plotly)

import plotly.graph_objects as go

 fig = go.Figure(go.Waterfall(

 name="Profit Breakdown", orientation="v", 

 measure=["absolute", "relative", "relative", "relative", "total"],
 x=["Revenue", "Marketing", "Operations", "Taxes", "Net Profit"], 

 y=[1000, -200, -150, -100, 0], 

)) 

 fig.update_layout(title="Company Profit Analysis") 

 fig.show()


๐Ÿ“Œ Install Plotly if needed:
pip install plotly


๐Ÿ”น Output Explanation

  • Revenue starts at 1000

  • Marketing reduces it

  • Operations reduce it further

  • Taxes reduce it again

  • Final bar shows Net Profit

Each step visually builds on the previous one.


๐Ÿ”น Waterfall vs Stacked Bar Chart

AspectWaterfall ChartStacked Bar
Step impact clarityVery HighMedium
Financial storytellingExcellentAverage
Shows cumulative effect
Business reportsIdealUseful

๐Ÿ”น Key Takeaways

  • Best for financial analysis

  • Shows step-by-step impact

  • Great for presentations

  • Very powerful in dashboards


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