The reason normalization goes under-appreciated is probably linked to confusion surrounding what it actually is. There are easy normalization techniques, such as removing decimal places, …

Data normalization is a crucial element of data analysis. It’s what allows analysts to compile and compare numbers of different sizes, from various data sources. And yet, normalization is little …

Data normalization is a crucial element of data analysis. It’s what allows analysts to compile and compare numbers of different sizes, from various data sources.

Plurality: “Data are” vs. “Data is” Strictly speaking, data is a plural word. The correct form of the verb that accompanies it must therefore be in the third person plural (they). Here are some …

This article provides a comprehensive list of types, methods, and techniques, and explains the difference between them. For a practical intro to data analysis (including types, methods, & …

Data normalization is a crucial element of data analysis. It’s what allows analysts to compile and compare numbers of different sizes, from various data sources. And yet, normalization is little …

Choosing the right laptop as a data scientist is an important step. From accessing and hosting databases to running queries and code, you will need a laptop that’s powerful, durable, …

AI trading software encompass everything from hands-off robo advisors to news aggregation, and everyone’s doing it. These tools fall into 4 categories: (1) robo advisors (via broker), (2) res…

What is a database analyst? Organizations with large amounts of data need to store it in a database. A database analyst is a technical employee responsible for ensuring the usefulness …

The same principle applies to data. Whether it’s in the form of a metadata library (aka data dictionary), field names or column headers in a database, rules for data types, file type …