Python vs R Workflows - Machine Learning, Visualization, and More
Chapter 5 is where Boyan Angelov gets practical about the question everyone dances around: which language should you actually use for which job?
Data visualization
Data Science Foundations Chapter 11: Making Data Visual and Easy to Understand
You ran the analysis. Got your numbers. Built a model. Now you need to show people what you found. And here is where most data people trip up. They pick the wrong chart, overload it with details, and the audience walks away confused.
Data Engineering With GCP Chapter 7: Making Data Visual With Looker Studio
You spend weeks building pipelines, modeling data, setting up orchestration. Everything works. Data lands in BigQuery clean and on time. And then someone from the business side asks: “So… where do I see the numbers?” That is exactly where Chapter 7 picks up. All that upstream work has to end somewhere useful, and for most organizations that somewhere is a dashboard.