Enhance Your Learning with Data Visualisation Flash Cards for quick learning
The representation of data in a visual format, such as charts, graphs, and maps, to facilitate understanding and analysis.
Different ways to represent data visually, including bar charts, line graphs, pie charts, scatter plots, and heat maps.
Software and applications used to create visual representations of data, such as Tableau, Power BI, and D3.js.
Guidelines and principles for creating effective and meaningful data visualisations, including simplicity, clarity, and accuracy.
The process of presenting data in a visual or graphical form, making it easier to understand and interpret.
Methods and approaches used to analyze and interpret data, such as statistical analysis, data mining, and machine learning.
The use of data visualisation to analyze business data, identify trends, and make informed decisions for improved performance.
The application of data visualisation in scientific research and discovery, aiding in the understanding and communication of complex data.
The use of data visualisation techniques in journalism to present data-driven stories and enhance audience understanding.
The use of data visualisation in healthcare to analyze patient data, track health trends, and improve medical decision-making.