Looker Data Visualization

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.

What is 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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  • Data visualization makes it easier to draw insights from complex data sets. The visually representing data allows us to discover actionable information from data easily, which can go undetected in a different format.
  • Trends and outliers can be readily found when data is displayed either graphically or visually rather than having to analyze the text or the spreadsheets.
  • Data visualization closes the gap between actionable information and effective decision-making by helping businesses to understand data and how it correlates with issues. It allows companies to identify root causes and solve problems more quickly and more effectively.
  • Data visualization tools provide multiple graphical visualizations such as line charts, box charts, area charts, heat maps, scatter plots, pie plots, donut charts, and so on to be selected regardless of the pattern.

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Looker has the following main features:

  • Open API
  • In-Database Architecture
  • Creating dashboards is easy.
  • Browser-Based Interface
  • Real-Time Data Exploration
  • Reports can be completely exported and customizable
  • Flexible modeling language
  • Live connectivity to all SQL databases & infrastructures
  • Looker follows a pricing model based on quotations that enable you to request a model plan based on your specific use cases, needs, and budget.

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Looker data visualization types

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 

  • bar chart
  • Pie chart
  • Column chart
  • Line chart
  • Area chart
  • Grouped column chart
  • Donut chart
  • Bubble chart
  • Stacked percent chart
  • Stacked column chart
  • Stacked bar chart
  • table
  • Box plot
  • Scatter plot
  • Column histogram
  • Heat map

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.

Related Article: Looker Analytics

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How can we set up a visualization in Looker?

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.

  • Firstly, you should create and execute your request.
  • Click on the Visualization tab to configure visualization options.
  • You can select which kind of visualization can present your data in the best possible way. You can click on the three dots on the right side of the visualization options for more options.
  • Then click on Edit for configuring the settings of the visualization option settings. You can also define dimensions and measures that should be included in the visualization for complete results.

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Use cases of Looker Data Visualizations:

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:

  • e-Commerce
  • Retail
  • Health care
  • Gaming

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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Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.