SF Data Weekly - Symphonic Metal Band Analysis, Matplotlib EDV and Sepsis

Does nerdiness improve or hinder the overall kickassery of symphonic metal music? An analytical look at this important question.

Instead of using Pandas to read multiple CSV files - which would probably only use one core of your CPU - this piece shows how to use DataTable to do it twice as fast (at least).

It’s common to hear of e-commerce companies saying that they are enjoying financial growth. Yet most of the time, these claims are not backed up by convincing numbers or financial data… [Sponsored]

Creating an end-to-end pipeline to ingest, store, process, analyze, and visualize operational data.

Basic, but important, SQL examples to accomplish tasks like finding the nth row in a table, or eliminating duplicates in a query.

How to count event sessions in Google Analytics 4 data stored in BigQuery, with SQL examples.

Developments of the Bitcoin HODL Waves chart over a typical cycle and Spent Volume Age Bands during the Luna Crash.

This piece looks at an analysis of a 43 field dataset to determine which indicators can be used to help healthcare providers diagnose sepsis.

Code examples showing how to create simple visualizations to help explore a new dataset.

An interesting article and film describing the visualizations in “The Greater London Plan” from 1944.

ML model performance tends decrease slightly over time, making it difficult to detect. How the team at Lyft addressed this issue.