| |
| May 6 · Issue #238 · View online |
|
|
Our pick this week is a piece on forming realistic expectations about data, as part of a journey towards becoming a data analyst. We also have a piece on a site that tracks and visualizes over 100 different data types about a guy named Felix, as well as an article about some of the humans who do data science at Lyft. Stay healthy!
|
|
|
|
How to form realistic expectations about data | by Cassie Kozyrkov | Apr, 2022 | Towards Data Science
“The universe doesn’t owe you solid conclusions just because you got hold of some numbers.”
|
|
|
GitHub - dflemstr/rq: Record Query - A tool for doing record analysis and transformation
Record Query is an open-source command-line tool for record analysis and transformation - good for exploratory data analysis or as part of a data pipeline.
|
The Ultimate Shopify E-Commerce Tech Stack Guide | Integrate.io
We discuss the 8 essential components of your Shopify e-commerce tech stack that will help you better serve your customers and boost your company’s profits. [Sponsored]
|
|
|
Ultorg: a user interface for relational databases
A video walk-through of Ultorg, a tool that takes a different approach to querying relational databases than standard query tools. Presented at a site called “Have you tried rubbing a database on it?”
|
Vectorization in OLAP Databases — tech ramblings
A discussion, with examples, of vectorization as a performance optimization technique for Online Analytical Processing databases.
|
|
|
Step 2 in the Data Exploration Journey: Going Deeper into the Analysis | Nightingale
In her third article on data exploration (step 1 had two parts), Erica Gunn moves past orientation into engagement.
|
Using Tidycensus to gather Census Data quickly. | MLearning.ai
Census data is widely used in analytics projects. This piece explains how to use the R package Tidycensus to quickly retrieve census data.
|
|
|
How I put my whole life into a single database · Felix Krause
Felix likes to track metrics about Felix, which he collects at https://howisfelix.today/. This piece reviews the full Felix data visualization experience. |
Best Seaborn Visualizations for Data Science | by Bharath K | Apr, 2022 | Towards Data Science
Nine different visualization for data science, using the Seaborn Python visualization library.
|
|
|
Evolution of ML Fact Store. by Vivek Kaushal | by Netflix Technology Blog | Apr, 2022 | Netflix TechBlog
How Netflix stores data in Axion, their fact store that is leveraged to compute ML features offline.
|
Humans of Lyft Science. By: Shuang Wu and Viviana Hernandez | by Shuangwu | Apr, 2022 | Lyft Engineering
Meet three Lyft Data Scientists — Hannah, Kyron, and Malorie — as they share their stories about how they got to Lyft, and their experiences since joining.
|
|
|
|
|
|
Did you enjoy this issue?
|
|
|
|
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
|
|
|
|
650 California St., San Francisco, CA 94108
|
