![]() It is a visual programming software executable in browsers, whose function is to build and share in a simple way interactive data visualization projects through a system of modules connected between them, in which operations are applied or the data flow of each module is controlled, allowing us to customize and make iterations and prototypes of interactive solutions based on data extracted from analysis processes. ![]() The procedure is very simple, as it is based on uploading the data and choosing a type of display. With this practice we can make the most of our content and use our data as efficiently as possible. Many Eyes allows conversation around a visualisation, what does this mean? It allows users to give their opinions on certain graphics and to propose innovative approaches based on existing data. The most relevant features of the program include dynamic data analysis, cartographic creations and the use of pre-established metrics. ![]() It serves mainly to assist in data analysis and hypothesis formulation, as well as to isolate data structures that allow the discovery of patterns, all in a quite intuitive way thanks to the interactive visualizations. Gephi offers many possibilities such as grouping nodes of the network, coloring them, giving them proportional sizes to indicators, among others. It is an open source program to visualize networks. We will now examine which are some of the most relevant. There are numerous tools, many of them open source, that can be used for data visualization. They are especially useful for tracking contacts and their connections, which will help us to identify possible relationships of interest to our company. These graphics consist of nodes and arrows interconnected with each other. It is a type of graph widely used in statistical inference, and allows us to study the relationship between two facts, for example we could study the correlation between the hours in a shift and the productivity of our employees at each moment, to identify which are the best hours for them to rest. ![]() This type of chart uses numerical values for both axes, rather than using categories on either axis as in other charts. Some applications of this graph could be to see the preference of a supermarket’s customers for particular brands of a product or the proportion of different nationalities of users visiting our website. They can be used to represent survey results or preferences, and to represent proportions. They are used to show how different parts represent a total. Even so, some of the most interesting ones are the following: Pie charts ![]() The amount of graphics that can be used for data visualization is almost infinite, and will depend largely on the needs of the company at any given time. In addition, we have access to new tools, such as time diagrams, with which we can track the progress of our actions, as well as detect trends, and thus have the knowledge to make informed strategic decisions. Thanks to data visualisation, not only will we have concrete and tangible figures, but they will also be easier to digest and display, especially for departments in the company that may be less familiar with how these data are analysed and used. Advantages of data visualizationĪ strategic decision supported by real data has a much higher probability of success. Visualization allows us to bring the data to life. That’s why visualising data comes into play, which is nothing more than presenting it in a visual format, with which we can see if there are any patterns or connections that would otherwise go unnoticed. But the data itself is not very useful, the analysis we make of it is what makes the difference. Within the data we collect there is important knowledge that can help us drive our business forward. Let’s talk about data visualization Do you use data analysis in your business? ![]()
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