How does data visualization facilitate data analysis?
Posted: Sun Jan 19, 2025 5:34 am
Data visualisation is here to revolutionise the analysis and representation of information. Using different tools and instruments (a map, a graph, a dashboard, etc.), we seek to establish patterns, trends or understand phenomena .
Relying on a visual element such as a dashboard is enlightening and much simpler than consulting a whole series of indicators separately.
Representing information in a visual way is taking on a completely new and innovative dimension. In this article, Appvizer tells you what it is all about and presents some examples of its application .
What does data visualisation refer to?
Data visualization is the way of designating the representation of data in a visual way . This practice, which consists of analyzing the meaning of data in order to translate it into a readable form, is often referred to as " dataviz " (from the English data visualization ).
As in the case of Big Data , in data visualization, the more information israel whatsapp shopping data there is (the greater the data sources ), the more useful in terms of importance the analysis will be.
Questioning the meaning that data can have for a company makes it necessary for the company to find a way to simplify its reading for later analysis. In this sense, Data Design consists of matching form with substance.
Proper representation of data makes it easier and clearer to read and therefore much more useful.
Types of data visualization → Examples
Taking the above into account, depending on the type of analysis being carried out, the way in which a set of data is represented is of great importance.
What types of data visualizations exist and which one makes the most sense to meet your purposes? The range of possibilities is wide:
histograms ,
scatter plots,
flow charts ,
heat maps,
point distribution maps,
time scales,
matrices,
bar graphs, curves, lines, areas, columns, waterfalls , etc.
types-of-data-visualization
© Dataviz Project
It is also possible to create infographics , interactive or not, as well as cartographic representations of the data.
Relying on a visual element such as a dashboard is enlightening and much simpler than consulting a whole series of indicators separately.
Representing information in a visual way is taking on a completely new and innovative dimension. In this article, Appvizer tells you what it is all about and presents some examples of its application .
What does data visualisation refer to?
Data visualization is the way of designating the representation of data in a visual way . This practice, which consists of analyzing the meaning of data in order to translate it into a readable form, is often referred to as " dataviz " (from the English data visualization ).
As in the case of Big Data , in data visualization, the more information israel whatsapp shopping data there is (the greater the data sources ), the more useful in terms of importance the analysis will be.
Questioning the meaning that data can have for a company makes it necessary for the company to find a way to simplify its reading for later analysis. In this sense, Data Design consists of matching form with substance.
Proper representation of data makes it easier and clearer to read and therefore much more useful.
Types of data visualization → Examples
Taking the above into account, depending on the type of analysis being carried out, the way in which a set of data is represented is of great importance.
What types of data visualizations exist and which one makes the most sense to meet your purposes? The range of possibilities is wide:
histograms ,
scatter plots,
flow charts ,
heat maps,
point distribution maps,
time scales,
matrices,
bar graphs, curves, lines, areas, columns, waterfalls , etc.
types-of-data-visualization
© Dataviz Project
It is also possible to create infographics , interactive or not, as well as cartographic representations of the data.