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| November 20 · Issue #164 · View online |
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This week’s pick is an application of Benford’s law to assess the accuracy of COVID-19 data. We also have a look at Pulsar, an alternative to Kafka, and an explanation of how Google figures out your earworms by listening to you hum. Stay healthy!
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I used Benford’s law to analyze COVID-19 in 113 countries | by Kevin Basset | Nov, 2020 | Medium
One of the makers of The Coronavirus App, who’s received countless emails asking whether the data that the app displays could be trusted, uses Benford’s Law to examine the data.
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Pulsar Advantages Over Kafka. Why you should consider Pulsar over… | by Javier Ramos | Nov, 2020 | ITNEXT
Even though Kafka gets more press, Pulsar is another very capable open-source messaging system often used to build data pipelines. This piece looks at the differences between the two platforms and identifies the (few) use cases where Pulsar might be a better choice.
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Amazon Redshift announces automatic refresh and query rewrite for materialized views
Redshift now supports automatic refresh and query rewrite capabilities to simplify and automate the usage of materialized views. The automatic refresh feature helps administrators to keep materialized views up-to-date, while the automatic query rewrite feature enables end-users to easily benefit from improved query performance.
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A Curated List of 57 Amazing GitHub Repositories for Every Python Developer | by Angelica Dietzel | Better Programming | Nov, 2020 | Medium
A lot of hard work went into this exhaustive list of Python repositories that are useful for a variety of applications, including data analysis.
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What Is a Tracking Plan and Why Do You Need One? | by Avo | Nov, 2020 | Medium
Picture the most chaotic project you’ve ever worked on that was saved at the last minute by an overhaul of project planning. How about doing that before the project started? This piece examines that radical thought.
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Advanced dashboard design: Get more out of Google Data Studio | by datadice | Nov, 2020 | Medium
Some great examples of Data Studio dashboards that go beyond the basics – worth a look for anyone designing dashboards.
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A Single Python Function Generating A Gorgeous Bar Chart Race Video | by Christopher Tao | Nov, 2020 | Towards Data Science
A tutorial for generating Bar Chart Race Video (popular everywhere on the Internet now) using Python with a single function and a few lines of code.
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Dasymetric Spatial Interpolation in BigQuery | by Mathias Schläffer | Nov, 2020 | Medium
Three different ways of constructing a chloropleth map and why H3 hexagons might be the way to go.
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Turning Metadata Into Insights with Databook | Uber Engineering Blog
To help our teams easily discover and understand this data better, Uber built Databook, an in-house platform that surfaces and manages the metadata related to various data entities such as datasets, internal dashboards, business metrics, and more.
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Google AI Blog: The Machine Learning Behind Hum to Search
Melodies stuck in your head, often referred to as “ earworms ,” are a well-known and sometimes irritating phenomenon. How Google built a recognition system that can search for a song based on humming the tune.
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What you should have on your Data Scientist Resume (Especially in the Pandemic time) | by Cornellius Yudha Wijaya | Nov, 2020 | Towards Data Science
A basic but complete review of best practices for a Data Science resume. Here are this week’s jobs:
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