Looker is distinguished from the various data visualization tools in the marketplace by allowing its users to create their graphics and visualizations. We can also create all sorts of templates for exploring and collaborating with a minimum of SQL knowledge while retaining key data distinctions. Looker can intelligently manage data on the web and handle various variations, such as Hive, Vertica, BigQuery, and Spark. In this post, let us know more about Looker data visualization.
Data Visualization is a graphical representation of data with the help of graphs, charts, diagrams, maps, etc., for ease of understanding. People can process the visual information more quickly and effectively than the written data. So data visualization acts as a key element of decision making. By creating an efficient visual data representation, we can quickly transmit information and get things done faster. Following are some benefits of data visualization:
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Looker offers many visualizations to make the data more understandable. You can select one type of visualization according to your needs, including use case and industry needs. These data visualizations will influence the way people understand the data and their decision-making according to their understanding. Some of the Looker data visualizations include
The following list includes some unique data visualizations provided by Looker:
Collapsible Tree Diagram: It is an open-source tool which can be used to visualize hierarchical data in an interactive way. It may also be extended or reduced in real-time by clicking on some nodes. A tree diagram is made up of a root node which connects with other nodes through branches.
Sunburst diagram: It is an open-source tool that is mostly used to represent hierarchical data structures. It uses a radial presentation of the data which makes it more aesthetically pleasing and a great presentation tool.
Chord diagram: It is an open-source tool that is used to efficiently visualize the relation between two elements which belong to a larger dataset. They are primarily used to represent the movement of a point A to a point B.
Liquid Fill Gauge: It is an open-source tool which can be used to compute progress to a target. Users can change the gauge color, liquid color, font color, and the wave animation.
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Looker makes it easy to create graphics and charts according to the query results. As Looker retains query details and visualization configuration together when a request is shared, the users can view the visualization as well as the data.
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Looker Data Visualization can be used for a wide range of industries to make your operations more efficient and drive your business growth with data-driven insights. The following are Looker Data Visualization use cases:
In this post, we have discussed the visualization of Looker data. We have explored various types of data visualizations provided by Looker and the steps you can take to set up a visualization in Looker, and so on. I hope you found this information helpful. Happy learning!
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