Further Exploring and Visualizing Data
In the previous chapters, we learned about the basics of BigQuery and the practice of data exploration, how to load and transform data, how to query data in BigQuery, and how to use notebooks to explore your data. Now, we will dive further into the world of data exploration and visualization in BigQuery. Further exploring and visualizing data allows us to better understand data attributes and peculiarities, gain insights, discover patterns, and communicate our findings effectively. In this chapter, we’ll discuss common practices for exploring data and review various techniques and tools available for BigQuery to analyze and visualize your data.
In this chapter, we are going to cover the following main topics:
- Understanding data distributions
- Uncovering relationships in data
- Exploring BigQuery data with Google Sheets
- Visualizing BigQuery data using Looker Studio
- Hands-on exercise – creating visualizations...
