Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
An approach to design that relies on data and analytics to inform decisions and measure success.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes.