Week 5

Storytelling and Crop Residue case

Prepare

Note📚 Prepare

📖 Review Exploratory Data Analysis materials from Week 3

📖 Read the Crop Residue Management case study (available in Moodle, “Case studies” section)

Participate

Note👥 Participate

📊 Case Discussion Presentation - Understanding the challenge of crop residue burning in India and alternatives for sustainable practices

📊 Teaching Summary: Data Visualization & Storytelling - Comprehensive guide on using data storytelling techniques with the CRM case

Practice

Note💻 Practice

🧮 Introduction to data storytelling principles

🧮 Building effective narratives with data visualization

Perform

Note📝 Perform

✏️ Exploratory Data Analysis on CRM Dataset (R/tidyverse) - Analyze the Crop Residue Management survey data to uncover insights about farmer adoption of sustainable practices

✏️ Exploratory Data Analysis on CRM Dataset (Python/pandas) - Same analysis using Python, pandas, and matplotlib

💡 Resources on data storytelling: The Seven Basic Data Stories

Ponder

Essential Readings

Knaflic, C.N. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. John Wiley & Sons.

Sringeswara, S., Tiwari, P., & Kumar, U.D. (2022). Data Visualization and Storytelling. Wiley India.

Supplemental Materials

Segel, E., & Heer, J. (2010). Narrative Visualization: Telling Stories with Data. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1139-1148.

Schwabish, J.A. (2014). An Economist’s Guide to Visualizing Data. Journal of Economic Perspectives, 28(1), 209-234.