Using Ecto and PostgreSQL for Effective Chart Data Normalization

The content provides a comprehensive overview of normalizing chart data using Ecto and PostgreSQL. It starts by explaining how to set up ECharts with Phoenix LiveView and the importance of producing quality datasets for effective charting. Several utility functions are introduced for calculating appropriate step sizes for numerical and datetime data, ensuring data readability for end-users. The article also highlights how to handle data summarization over time, including calculating percentiles, and addresses how to fill gaps in datasets for continuous charts. The author encourages experimentation to find the best data presentation for charts, recognizing that no single approach fits all scenarios. It concludes with a promise to provide more code snippets in future updates.