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Data Visualization
Turn raw numbers into compelling visual stories using Matplotlib and Seaborn in the browser.
4h 34min 11 lessons 13 interactive pages Intermediate
Welcome to Data Visualization š
"A picture is worth a thousand words." In data science, this is absolutely true.
Matplotlib is the foundational visualization library. You'll create:
- Line plots for trends
- Scatter plots for relationships
- Histograms and distributions
- Bar charts for comparisons
- Heatmaps for patterns
- And much more!
Why Visualization Matters
- Spot patterns that numbers hide
- Communicate findings to stakeholders
- Detect outliers and anomalies
- Explore data before analysis
Prerequisites
ā Modules 1-2 (Python, NumPy)
Let's create beautiful plots! šØ