Summary

In this chapter, we embarked on a journey to explore the art of presenting results through interactive dashboards using Streamlit.

We started by learning the principles of designing effective dashboards. By understanding the importance of clarity, purpose, and data-ink ratio, you are now equipped to craft dashboards that deliver key insights without overwhelming non-technical audiences.

Later, you learned how to generate effective dimensions and metrics for your dashboards. Finally, we delved into the world of Streamlit, an open source framework that enables you to transform Python scripts into web applications seamlessly.

Building upon the foundation of presenting results with dashboards, the next chapter will delve into the world of econometrics and causal inference. As a marketing analyst, you often encounter data that presents unique challenges, such as sparsity, time series characteristics, or panel data. You will acquire the skills necessary to navigate these...