Created by Tommy Geoco

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What is this?

This 8-part video series is part of Making UX Decisions, a course for designers and product builders that teaches you how to make smarter, faster design decisions when time and resources are limited. The full course includes:

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If you enjoy this mini-course, consider checking out **the full course here.**

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Videos

Chapters

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Sense-Making Tools

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Refer to this database of additional sense-making tools and when to use them.

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Sense-making Tools

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Glossary of Terms

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Refer to this table of commonly used terms in data and information sense-making.

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Term Definition
Dimensions Variables or categories used to describe or classify the data, can be qualitative or quantitative.
Measures Quantitative values associated with dimensions, representing the data being analyzed or visualized.
Discrete Data Distinct, separate values or categories that can be counted.
Continuous Data Values that can take any point within a range and are usually measured.
Categorical Data Non-numerical values or categories used to describe or classify observations.
Ordinal Data A type of categorical data with categories having a natural order or ranking.
Interval Data Quantitative data with meaningful differences between values but no true zero point.
Ratio Data Quantitative data with a true zero point, allowing for meaningful comparisons of ratios.
Aggregation Combining or summarizing data to create a higher-level view or analysis.
Data Transformation Converting or modifying data into a different format or structure to improve analysis or visualization.
Data Cleaning Identifying and correcting errors, inconsistencies, or inaccuracies in data to ensure its quality and reliability.
Data Visualization Using graphical representations, such as charts or diagrams, to display data and information for easier understanding and communication.
Information Hierarchy Organizing and structuring information, often by importance or complexity, to facilitate understanding and navigation.
Metadata Data about data, providing additional information or context about a data set, such as the source, author, or creation date.
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