Presentation Tactics for Effective Data Storytelling

Title Slide

• Keep it simple: Title, Presenter, Date.
• Importance of the date: Context for future reference.

Purpose Statement

• Introduce the purpose of the presentation.
• Frame the overall narrative: "This presentation is a story with data."

Structure of the Presentation

1. Introduction

   • Define what will be discussed.
   • Objectives of the presentation.

2. Data Presentation

   • Introduce visuals without text initially.
   • Explain the data set:
     • Collected from European residents (2015-2017).
     • Includes demographic, economic data, and happiness scores.

3. Using Animations and Annotations

   • Animations highlight key areas of the slide as you speak.
   • Annotations clarify visuals: e.g., happiness score indicators.

4. Analysis

   • Present key findings visually (e.g., heat maps, scatter plots):
     • Introduce the concept of correlation.
     • Results on happiness levels vs. population size.

Key Findings

• Happiness and Geography:
  • Limited correlation between geographical location and happiness.
• Happiness and Population:
  • Little to no correlation between happiness and population size.
• Happiness and Health:
  • Positive correlation found:
    • Correlation coefficient = 0.50.
• Importance of Correlation Coefficients:
  • Measure strength and direction of relationships between variables.
• Analysis of Wealth (GDP):
  • Strong correlation found between GDP and health (0.7) and GDP and happiness.

Conclusions

• Main Conclusions:
  1. Wealthier countries tend to have higher happiness levels.
  2. Healthier countries also correlate with happiness.
  3. Wealth, health, and happiness are interconnected.
• Causal Analysis Needed:
  • Future research to understand causal relationships.

Final Slide

• Importance of personal touch in data storytelling.
• Encourage using personal skills and experiences in presentations.

Call to Action

• Link to further resources, job search help, and course materials.