Data Visualization: Rules, Catalog and Tools

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The data visualization catalog has been translated into Russian. It presents most types of graphs, each of them is provided with a detailed description, examples of use and links to data visualization tools.

Contents [hide]
Data Visualization Rules
Data Visualization Catalog
Data visualization tools
Online visualization tools
Creating a complete and convenient data visualization will require following simple rules, selecting the type of visual representation of data and choosing the right tool. Let's start with the rules.

Data Visualization Rules
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When visualizing data, there are some rules to keep in mind to help you create a useful visualization:

choosing the right chart type (the chart should match the data);
logical order of data (arrangement of data according to a certain logic: from greater to lesser, from positive to negative answers);
minimum chart types (you should not use different chart types for the same data set for the sake of beauty, this will interfere with the comparison of graphs and charts with each other);
simplicity (visualization is designed to simplify the data estonia telegram array, there is no need to further complicate it with 3D effects, shadows, gradients, and so on);
do not clutter the visualization (if there is a lot of data, it is better to make several simple graphs than one that includes all the information, but is too cluttered for perception);
understandable number format (if the numbers are large, then use division into digits or add thousands, millions, if the digits after the decimal point are not important, then you should avoid using them);
minimalism (if something can be removed from the graph without losing its meaning, then feel free to remove it; we are talking about elements such as a grid, an overly detailed legend);
the presence of a title and legend (do not overdo it with simplifying the data; if the graph cannot be understood without context and explanations, then there is an obvious lack of explanation);
using a familiar color scheme (everyone is used to the fact that the “yes” option corresponds to green, and the “no” option corresponds to red);
color unity (if you started creating a black and white visualization, then do not use color graphics);
contextual relevance (ask yourself questions: what will happen if the interactive visualization is printed, will a black and white visualization be visible on a projector, does the visualization fit into the design and color scheme of the site; the visualization should fit into the context in which it will be used.