The hottest Data Sources Substack posts right now

The post provides a curated list of the best tools and resources for investors
Various categories are covered like data sources, portfolio analysis, newsletters/blogs, short-sellers, and institutional research
Tools range from financial APIs, portfolio visualizers, to newsletters and even sites for social media tracking and book downloading

Gun violence is falling nationally in the U.S.
Data from big cities and Gun Violence Archive show a decrease in shootings.
It is too early to predict year-end changes in murder and gun violence based on data through April.

Gapminder is an independent Swedish foundation focused on fact-based global statistics.
Their bubble chart software, Trendalyzer, was acquired by Google in 2007.
Gapminder provides educators with free resources and offers a 'Worldview Upgrader' quiz to challenge misconceptions.

Chapter 8 of the digital epidemiology book is now released, focusing on digital public health surveillance.
The chapter covers a variety of data sources like search queries, social media, and wearables.
One important aspect discussed is participatory surveillance, along with future challenges and opportunities in digital public health surveillance.

GeocodeGPT enables ChatGPT to geocode addresses accurately.
Custom GPTs with external actions to reliable data sources are useful now.
Excitement for the launch of the Custom GPT marketplace to see innovative developments.

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Monitoring is a crucial aspect of incident management to detect issues quickly and efficiently.
Top-level metrics like Service Level Indicators (SLIs) and operational metrics provide valuable insights into system health.
Data for monitoring can come from time series data, logs, and traces, and visualization tools like Grafana help in analyzing and interpreting this data effectively.

2021 saw many impressive breakthroughs in Machine Learning with the industry growing considerably.
Microsoft is positioned well in the Machine Learning space due to its vertical integration across various stages of ML pipelines from hardware to data sources to model deployment.
Microsoft showcased exceptional performance in ML research and implementation in 2021, particularly with innovative projects like synthetic data analysis and leading NLP models.