Browse CFA Level 2

Chapter 15: Financial Data Visualization and Reporting

In this section

  • Exploratory Data Analysis for Large Datasets
    Master the art of Exploratory Data Analysis (EDA) in finance by tackling large datasets. Learn how to identify hidden patterns, manage outliers, leverage powerful tools and techniques, and prepare data for advanced modeling.
  • Advanced Graphical Methods for Residual Diagnostics
    Explore advanced graphical techniques to diagnose and interpret residuals in complex regression models, covering residual vs. fitted plots, Normal Q–Q, Scale–Location, leverage/influence plots, partial regression, and more.
  • Dashboards and Dynamic Reporting Tools
    Explore how investment professionals use dynamic dashboards to visualize real-time data, automate reporting, and foster interactive analytics in finance.
  • Communicating Statistical Results Effectively
    Learn how to tailor and present quantitative findings for diverse audiences, ensuring clarity and actionable insights for investment decisions.
  • Vignette Illustrations of Visual Analysis
    Discover how to effectively interpret and leverage key visual cues in advanced quantitative vignettes, from scatter plots and correlation heatmaps to residual diagnostics and performance dashboards.
Friday, April 11, 2025 Monday, January 1, 1

Important Notice: FinancialAnalystGuide.com provides supplemental CFA study materials, including mock exams, sample exam questions, and other practice resources to aid your exam preparation. These resources are not affiliated with or endorsed by the CFA Institute. CFA® and Chartered Financial Analyst® are registered trademarks owned exclusively by CFA Institute. Our content is independent, and we do not guarantee exam success. CFA Institute does not endorse, promote, or warrant the accuracy or quality of our products.