Dive into the world of time series data to uncover trends, seasonality, and patterns. Learn to analyze long-term trends, detect seasonal variations, and highlight extremes over time. With techniques like heatmaps and faceted plots, you'll be equipped to reveal the compelling narratives hidden within your time-based data.
Overview
Syllabus
- Unit 1: Analyzing Long-Term Trends with Line Plots
- Complete the Line Plot Code
- Enhance Line Plot Clarity
- Focus on Monthly Passenger Trends
- Visualize Passenger Trends Yourself
- Unit 2: Visualizing Seasonality with Seaborn Line Plots
- Fill in the Missing Plot Details
- Uncover New Seasonal Patterns
- Enhance Your Plot with Color
- Visualize Patterns with Seaborn Lineplot
- Unit 3: Highlighting Extremes with Boxen Plots
- Complete the Boxen Plot
- Discover Monthly Passenger Patterns
- Fix the Boxen Plot Code
- Enhance Your Boxen Plot Colors
- Crafting Your Own Boxen Plot
- Unit 4: Comparing Yearly Trends with Heatmaps
- Complete the Heatmap Code
- Enhance Heatmaps with Annotations
- Enhance Your Heatmap with Colormaps
- Transform Data for Heatmaps
- Visualize Yearly Passenger Trends
- Unit 5: Exploring Yearly Trends with Faceted Plots
- Complete the Faceted Plot Setup
- Transform Your FacetGrid Perspective
- Create Your Faceted Visualization
- Crafting Yearly Data Visualizations