Managing Research Data with Databases and Interactive Visualization
Every project needs to store and visualize data. Most of us have generated a static plot with matplotlib from data in a CSV file. However, when the data format becomes slightly more complicated and the data size increases, both correctness and performance issues arise. This blog post will try to convince you that databases and interactive visualization provide a better pipeline. It is less error-prone, easier and faster to process your data, and has a shorter feedback loop, all without necessarily adding to your workload.