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| April 29 · Issue #237 · View online |
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Our pick this week is an explanation of Pythagorean Expectation and its application to sports analysis and prediction. We also have an piece on saying “I Love You” with a data visualization, and Bayesian customer life value modeling. Stay healthy!
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Pythagorean Expectation in Sports Analytics, with Examples From Different Sports | by Momin Mehmood Butt | Apr, 2022 | Towards Data Science
Pythagorean Expectation is a brainchild of baseball analyst and statistician Bill James. This piece explains how it is used in different forms to drive data analytics and predictive modelling in sports like baseball, basketball, ice hockey, and football.
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Building ETL Pipelines — For Beginners | by Aashish Nair | Apr, 2022 | Towards Data Science
A step-by-step explaining how to build a simple ETL pipeline in Python.
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The 7 Best E-Commerce Integrations and APIs | Integrate.io
If you’re looking for the best e-commerce APIs and integrations, look no further than this list! Here are 7 options that will help make your business more successful. [Sponsored]
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The power of information schema in BigQuery | Google Cloud Blog
How to analyze and decipher the BigQuery Information Schema to understand Slot Consumption and Query Concurrency / Throughput.
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Automate notifications on Slack for Amazon Redshift query monitoring rule violations | Amazon Web Services
Redshift Query Monitoring Rules [QMRs] can check for query runtimes (in seconds), query return row count and CPU time. This post explains how to push QMR violations into Slack channels.
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Bayesian Customer Lifetime Values Modeling using PyMC3 | by Meraldo Antonio | Apr, 2022 | Towards Data Science
Customer lifetime value (CLV) is the total worth of a customer to a company over the length of their relationship. This piece explains how to implement the BG-NBD probabilistic hierarchical model using PYMC3 to analyze customer purchasing behavior.
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Data Literacy: Data comprehension includes understanding terms and basic conventions.
A very basic introduction to statistical terms that might help you explain them to your analytics consumers.
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SPOTLIGHT: How to Say ‘I Love You’ with a Graphic | Nightingale
An exercise in data humanism, showing how the correspondence between two people reflects the pattern of their relationship.
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Embedding Interactive Python Plots on the Web | by Pier Paolo Ippolito | Apr, 2022 | Towards Data Science
Using the Plotly chart studio service to create plots that can be shared on the web.
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Best practices for visualizing your cluster results | Towards Data Science
Best practices for analyzing and diagnosing your clustering output, visualizing your clusters properly, and presenting your cluster’s characteristics.
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How Retool upgraded our 4 TB main application PostgreSQL database
Retool’s story of how they upgraded their Postgres database from version 9.6 to version 13, with minimal downtime.
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Shifting your mindset from amateur to professional analyst | by Cassie Kozyrkov | Apr, 2022 | Towards Data Science
Another installment in a series about becoming a data analyst. Here are this week’s job picks:
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