|Overview: Data Context|
The circumstances surrounding a set of data.
Using out-of-context data generally invalidates results.
What is Data Context?
John Spacey, updated on December 11, 2017
Data context is the set of circumstances that surrounds a collection of data. Capturing and interpreting context is an basic step in data analysis. Use of out-of-context data is a common source of errors in scientific research, business decisions and professional advice. Consider sales data over a five year period for a firm. Such data occurs within the context of political events, organizational change, market competition and other factors that can impact results in various ways. Say for example, a prominent sales manager leaves your team and brings half of your sales people with her to her new firm. Sales data may be dramatically impacted by such an event and such context may be considered when interpreting related data.
Statistical AnalysisThis is the complete list of articles we have written about statistical analysis.
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A list of basic statistical analysis techniques.
An overview of cohort analysis.A definition of analytics with examples.
The difference between continuous and discrete data.
The common types of hypothesis with examples.
The definition of negative correlation with examples.The common types of error with examples.
An overview of structured data with examples.
An overview of regression analysis with examples.
The difference explained.A list of common cognitive biases explained.
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