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Looker Studio

Looker Studio is a free visualization and tool developed by , allowing users to create interactive, customizable dashboards and reports from a wide variety of sources through an easy-to-use drag-and-drop editor. It supports analytics, enabling teams to explore and share insights without requiring advanced technical skills. Originally launched as Google Data Studio in 2016, Looker Studio was rebranded and integrated into the broader platform on October 11, 2022, as part of Google Cloud's unified suite. This evolution aimed to combine the accessibility of Data Studio with Looker's enterprise-grade capabilities, supporting over 800 data sources, connected via various built-in and partner connectors, such as , , , , , and third-party services like and files. Key features include a range of visualizations—such as charts, tables, tables, and maps—along with options like filters, date range controls, and for multiple users. While the core version remains no-cost and suitable for individuals and small teams, Looker Studio Pro provides advanced enterprise features, including enhanced security, governance, and scalability for large organizations integrated with and Cloud Identity. As part of the Google Cloud ecosystem, it facilitates seamless data exploration and reporting, particularly when paired with tools like for handling large-scale analytics.

History

Launch as Google Data Studio

Google launched Google Data Studio on May 25, 2016, as a free, web-based data visualization tool designed to help users create interactive reports and dashboards from various data sources. The tool was introduced, initially available in the United States with plans for global expansion throughout the year, marking it as an accessible entry point for data exploration without requiring advanced technical skills. Its core integrations focused on Google products, including seamless connections to Google Analytics for web traffic data, Google Sheets for spreadsheet-based datasets, and other services like AdWords and BigQuery, allowing users to pull in marketing and analytics data directly. The initial emphasis was on empowering non-technical users, such as marketers and business analysts, to build visually compelling reports without coding or complex software, thereby democratizing data visualization within organizations. Early features included a range of basic charting options like bar charts, pie charts, time series, bullet charts, and heatmaps, enabling straightforward representation of data trends and metrics. Interactive elements, such as date pickers and dynamic filters, allowed reports to adapt to user inputs in real time, enhancing usability for exploratory analysis. Sharing and collaboration were foundational from the start, leveraging Google Docs-like infrastructure to enable easy distribution of reports within teams, with options for or access and permission controls. At launch, the free version supported up to five reports per account, unlimited data sources, and unlimited collaborators, positioning it as a alternative to tools. These milestones laid the groundwork for its evolution, culminating in general availability in September 2018.

Acquisition of Looker and Rebranding

In February 2020, Google completed its acquisition of , a platform, for $2.6 billion in cash, following an initial announcement in June 2019. This move aimed to bolster Google's offerings by incorporating Looker's technology into its cloud ecosystem. The strategic motivations centered on integrating Looker's semantic modeling capabilities, powered by its LookML language, with Google's tools such as , to improve , scalability, and multi-cloud compatibility. Looker's approach to creating trusted, reusable models was seen as complementary to Google's strengths in and , enabling enterprises to derive actionable insights more efficiently across diverse environments, including support for systems like and . This acquisition positioned Google to compete more effectively in the by offering a unified platform for and embedded . On October 11, 2022, announced the of Data Studio to Studio, aligning it with the broader platform to create a cohesive business intelligence suite. The emphasized universal access to business data, leveraging 's advanced modeling to enhance self-service analytics. Following the rebrand, initial enhancements included the introduction of Looker Studio Pro, an enterprise-grade version providing advanced management controls, team collaboration tools, and service level agreements (SLAs) for larger organizations. Deeper integration with Google Cloud services, such as preview access to Looker data models and connections to Dataplex for and management, further strengthened scalability and governance. Additionally, integrations with tools like were rolled out in preview, with full availability in early 2023, facilitating seamless data handling within productivity environments.

Post-Rebranding Developments

Since the 2022 rebranding, Looker Studio has continued to evolve with significant updates focused on and enhanced integrations. In 2024, Google extended Looker with deeper connections to Google Cloud and Workspace, including integration with Vertex AI for generative capabilities, enabling querying and automated insights as of March 2024. Through 2025, ongoing releases have introduced features like improved performance, modernized charts, responsive layouts, and data previews, with updates documented monthly up to November 2025.

Overview and Capabilities

Core Purpose and Key Features

Looker Studio is a free, self-service business intelligence (BI) tool that enables users to create interactive dashboards and reports from diverse data sources, transforming raw data into actionable insights for informed decision-making. Designed for accessibility, it caters to non-experts by providing a no-code interface with drag-and-drop functionality, allowing individuals without technical backgrounds to build and customize visualizations effortlessly. This approach democratizes data analysis, making it suitable for teams across various industries to derive value from their data without relying on specialized developers. At its core, Looker Studio supports data transformation by converting raw inputs into meaningful metrics and dimensions, facilitating the creation of business-oriented narratives through engaging visuals and reports. It emphasizes by enabling users to craft compelling data stories that highlight trends, patterns, and key performance indicators in an intuitive format. With support for over 800 connectors, the tool ensures broad compatibility, allowing seamless integration of data from multiple platforms into unified views. A standout feature is its collaboration capabilities, which permit multiple users to edit and refine reports simultaneously, fostering similar to document-sharing platforms. Additionally, reports can be embedded directly into websites, intranets, or applications, extending their reach and integrating analytics into broader digital experiences. Deep integration with the ecosystem, including tools like , streamlines analytics workflows by enabling direct data flow and enhanced processing within familiar environments. For Looker Studio users, integration with in Looker provides AI-assisted features such as conversational analytics and formula assistance, available by default in subscriptions created on or after June 3, 2025. The core offering remains free for all users, with an optional upgrade available for enterprise-scale and .

Pricing and Plan Offerings

Looker Studio offers a free plan that enables users to create an unlimited number of reports and share them with an unlimited number of viewers at no cost. This plan encompasses all essential features for data connection, visualization, and basic collaboration, rendering it appropriate for individuals, small teams, and organizations with straightforward reporting requirements. Looker Studio Pro serves as a paid upgrade tailored for enterprise environments, providing administrative controls such as team workspaces and project-level permissions, enhanced customer support, and advanced sharing functionalities beyond the free tier. Subscriptions are billed monthly based on the number of Pro licenses purchased, with complimentary licenses available to existing users of the broader Looker platform. Pricing varies according to subscription duration and scale, typically structured on a per-user basis through Google Cloud. Users may encounter additional expenses when integrating third-party connectors or premium data sources not natively supported in Looker Studio. For instance, tools like Supermetrics, which facilitate connections to marketing platforms such as or , operate on separate subscription models starting from approximately €29 per month for basic plans, with costs scaling based on data volume, refresh frequency, and user seats. Following 's acquisition of in 2019 and the subsequent rebranding of Google Data Studio to Looker Studio in 2022, the pricing structure has preserved a no-cost entry-level option while introducing the tier to address scalability demands in larger deployments. This approach ensures accessibility for casual users while monetizing enterprise-grade enhancements.

Data Integration

Supported Data Sources

Looker Studio offers extensive connectivity to diverse data sources via its connector framework, enabling seamless integration for dashboard and report creation. The platform's built-in connectors primarily focus on Google ecosystem services, providing native support without additional setup. These include:
  • BigQuery: A serverless data warehouse for querying large datasets.
  • Google Analytics 4: For tracking website and app user behavior and events.
  • Google Sheets: Allowing direct visualization of spreadsheet data.
  • Google Ads: To access advertising campaign performance metrics.
  • Search Console: For insights into search query performance and site indexing.
These Google-provided connectors, numbering around 21 in total, ensure reliable, low-latency access to core and marketing tools. Complementing the built-in options, Looker Studio features over 1,300 partner and third-party connectors developed by external providers, significantly broadening its scope. These encompass relational databases like and for structured data storage, (CRM) systems such as for sales and customer data, and marketing automation tools including Ads for social advertising insights and for inbound marketing analytics. This extensive partner ecosystem covers more than 1,000 data sets across categories like , platforms, and systems, facilitating comprehensive data unification without custom coding in most cases. For scenarios requiring bespoke integrations, community connectors provide a for developers to build custom connections using , linking Looker Studio to any internet-accessible or data endpoint not covered by standard options. These open-source contributions are hosted in the Looker Studio Developer and can be shared publicly or privately. While most connectors support scheduled refreshes for data updates, capabilities are restricted to specific sources; notably, enables streaming data ingestion, allowing near- visualizations in Looker Studio reports. Other sources typically refresh at intervals ranging from minutes to hours, depending on the connector configuration.

Data Connection and Preparation

Looker Studio enables users to connect data sources directly within the report editor by selecting from a gallery of available connectors, such as those for , , or third-party services. To add a data source, users start a new report or edit an existing one, then click "Add data" to access the connector ; they select the desired connector, authenticate using options like owner's credentials or viewer credentials, and choose the specific , such as a or database table, to link. Once connected, the data source can be configured by adjusting field properties or applying initial transformations before use in visualizations. Data blending in Looker Studio allows combining up to five sources into a single unified view for charts and tables, facilitating analysis across disparate datasets. The process involves opening the blend editor, adding tables from selected data sources, and defining join conditions using shared keys like dimensions (e.g., customer ID) or metrics; users specify join operators such as inner, left outer, right outer, full outer, or cross join to determine how records are matched and included. For example, blending data from one source with customer demographics from another requires matching fields like region, with the system hiding duplicate join keys by default to streamline the output. Blends support date range filters and can be created directly from existing charts or managed via the resource menu. Field editing in Looker Studio occurs primarily in the data source editor or at the chart level, where users can rename fields for clarity, apply aggregations like or AVG to metrics, and create calculated fields to derive new dimensions or measures. To rename a field, users simply edit the display name in the editor; for aggregation, functions such as (Price) or AVG() are applied directly in formulas, with auto-aggregation as the default when unspecified. Calculated fields are built using a with functions including CASE for conditional logic—e.g., CASE WHEN Country = "USA" THEN "" ELSE "Other" END—or REGEXP_EXTRACT for , such as REGEXP_EXTRACT(, "example.com") to pull domain names; these fields can be data source-wide for reuse or chart-specific for blended data. Steps include selecting "Add a field," entering the formula, setting the , and saving, enabling transformations like profit margins via () / (). Handling data freshness ensures reports reflect current information while optimizing performance through caching, with users setting refresh intervals per data source to balance accuracy and load times. In the data source editor, under the "Data freshness" option, intervals can be configured from 1 minute to 12 hours, depending on the connector. until the interval elapses, cached results are served from memory to speed up rendering. For scheduled refreshes, enabling auto-refresh on reports triggers periodic data pulls if older than the freshness threshold, while manual refresh is available via the refresh icon; caching reduces API calls and improves efficiency, especially for large datasets, though extracted data sources (e.g., from BigQuery) can further enhance performance by pre-loading data.

User Interface and Basic Operation

Report and Dashboard Creation

Looker Studio provides a web-based editor accessible at lookerstudio.google.com, where users can build and from scratch using a drag-and-drop . To initiate creation, users sign in with a , select "Create" from the menu, and choose "Report," which opens the editor with an empty canvas and an "Add data" for connecting sources—assuming data is already prepared, the focus shifts to visual assembly. The editor features a for inserting elements, a properties for adjustments, and options including freeform or responsive modes to suit desktop or mobile viewing. The interface supports theme selection and application through the "Theme and layout" panel in the toolbar, allowing users to choose predefined themes or customize colors, fonts, backgrounds, and styles for consistent branding across the report. Themes update style settings for all components, such as chart palettes and text formatting, ensuring visual coherence; custom themes can be extracted from images or built manually but apply report-wide, not per page. Page addition is handled via the "Pages" menu, where users click "Add a page" to insert new tabs, enabling multi-page reports for organizing content thematically—up to 100 pages, with navigation thumbnails for easy switching. Layout tools include grid settings and snap-to guides for precise alignment during arrangement. Components like are added by dragging from the toolbar's "Add a " menu onto the , where they can be resized, repositioned, and aligned using visual guides that snap into place for professional layouts. support filters at the level, affecting all and using the default , or at the level, applying to every on that alone; these are configured via the "" tab and inherit hierarchically ( > > ) unless disabled, reducing displayed without altering the source. Once built, basic sharing options include generating view-only links via the "Share" button, which can be restricted to the or public with a required for access. Scheduled email delivery automates distribution by attaching a PDF snapshot of the report to emails sent at set frequencies (daily, weekly, or custom, up to hourly in editions), with options for up to 50 recipients and preview inclusion of the first page. Export to PDF is available directly from the "Share > Download" menu, allowing selection of all or specific pages, page reordering, password protection, and transparent backgrounds, saving the file locally for offline use or printing. These features facilitate straightforward dissemination without advanced permissions.

Customization and Interactivity

Looker Studio provides extensive styling options to tailor the visual appearance of reports, enabling users to apply custom color palettes, fonts, borders, and conditional formatting. Color palettes can be selected or customized using a built-in that includes standard palettes, custom RGB/HEX values, or extraction from images, allowing for consistent theming across elements like charts, backgrounds, and text. Fonts are configurable through report themes, where users choose from a of web-safe fonts such as or , setting defaults for body text, headers, and labels to ensure readability and alignment. Borders can be added or modified for components like tables and shapes, with options to adjust thickness, color, and style (solid, dashed) via the Style tab in the properties panel. Conditional formatting enhances data interpretation by dynamically altering colors, text, or backgrounds based on thresholds, such as highlighting values above a certain in red or green scales; this feature supports single-color rules for specific conditions or gradient scales for ranges, applied primarily to tables and scorecards. Interactivity in Looker Studio allows reports to respond dynamically to user actions, fostering deeper . Drill-down capabilities enable users to navigate from summary levels to granular details within a single , such as expanding a from yearly to monthly views by clicking elements, with options to control the depth and reset behavior. Cross-filtering synchronizes interactions across multiple on a page, where selecting a point in one —such as a region in a —automatically filters related to show only matching , configurable per via the Interactions . Tooltips provide on-hover contextual information and can include additional dimensions for certain types beyond default values. Controls in Looker Studio empower users to input parameters that dynamically adjust report content. Date range controls offer a interface for selecting custom periods, such as last 30 days or specific quarters, which can apply report-wide or to individual charts, with advanced options like auto-refresh on change. Dropdown lists and fixed-size lists allow single selection from predefined dimensions or parameters, filtering data by categories like product types, with an "Allow Select all" option. Slider controls facilitate range-based filtering for numeric fields, enabling users to drag endpoints to isolate values within bounds, such as revenue between $100K and $500K, with granular steps and default positions set in the data configuration. Responsive design in Looker Studio ensures reports adapt seamlessly to various devices, including viewing. Reports can be built in responsive mode using sections and blocks that automatically stack and resize elements based on screen width, with preview tools to test layouts across , tablet, and phone formats. For embedding, parameters can be passed via queries to generate dynamic content on load, such as pre-filtering by user ID or date, supporting into websites or apps while maintaining . This approach prioritizes fluid grids over fixed layouts, reducing manual adjustments for cross-device compatibility.

Visualization Options

Table, Scorecard, and Gauge Charts

charts in Looker Studio provide a structured way to display raw or aggregated in rows and columns, making them ideal for presenting detailed datasets such as sales or user in a spreadsheet-like format. Each column represents a (categorical like product categories) or (numerical measures like quantity sold), while rows correspond to individual . These charts automatically group by and aggregate using functions such as , , or , supporting up to 10 and 20 for fixed-schema sources or 100 of each for flexible-schema sources like or . Key features of table charts include interactive by clicking column headers (with multi-column sorting via Shift key, limited to 10 fields), to manage large datasets (default rows per page configurable, disabled for Top N row limits), and visual enhancements like heatmaps for conditional color-coding based on values to highlight trends or outliers. bars can also be added to columns for proportional , with customizable colors and targets. involves assigning and in the Setup of the Properties panel; for example, a sales table might use "Category" as a and "Qty Sold" as a summed , resulting in rows like Bird (28 units), Dog (27 units), and Cat (12 units). Conditional formatting rules, applied via the Style , allow color scales or text adjustments (e.g., low, medium, high contrast) to emphasize data points. Scorecard charts focus on summarizing a single key performance indicator (KPI) as a prominent numeric value, such as total sales or average session duration, often used for dashboard overviews to track essential business metrics at a glance. They display the metric with an optional label and support compact number formatting (e.g., 354.7K for 354,700) to handle large values efficiently. Comparisons can be enabled against a previous period, another metric, or a fixed value, showing percentage changes or deltas, while sparklines provide a compact line graph of the metric's trend over a specified date range. To configure a scorecard, select a single metric in the Setup tab, such as SUM(Qty Sold) for total items, with an optional date dimension for sparklines (e.g., a trend line for New Users over 28 days showing 89.6% growth). No dimensions are required, as the chart aggregates across the entire dataset or filtered scope. Conditional formatting in the Style tab applies rules like color changes based on thresholds, enhancing readability for positive or negative performance. For instance, a scorecard might show "354.7K views" with a sparkline illustrating upward trends. Data blending from multiple sources can be referenced briefly to enrich the single metric, but scorecards primarily rely on one data connection. Gauge charts serve as progress indicators, visualizing a single 's value relative to a or range of thresholds, commonly for monitoring goal attainment like targets or completion rates. The central bar represents the actual value, with an optional line and up to five colored range bands (e.g., red for poor performance below 50%, green for excellent above 80%) to denote performance zones. This setup allows quick assessment of how close a is to its goal, such as displaying $150.43K against a $200K with a 20.88% indicator. Configuration requires assigning one primary metric (e.g., SUM()) in the Setup , along with optional target and comparison metrics; ranges are defined by threshold values in the Style tab, with customizable colors for each band. Styling options include adjusting decimal precision, axis minimum/maximum, bar width, labels, and background elements to fit . Conditional formatting is inherent through the range colors, which automatically shade the based on the metric's position. For example, a for year-to-date might use for the actual value bar, a dashed line for the target, and zoned colors to signal under- or over-performance.

Line, Area, Bar, and Scatter Charts

Line charts in Looker Studio are ideal for visualizing how metrics change over time or across , displaying data as connected points on a line to highlight trends and fluctuations. They support a single dimension on the x-axis (such as or ) paired with up to five metrics on the y-axis, or two dimensions with one metric for more granular breakdowns. Multiple series can be added by using additional metrics or a breakdown dimension, allowing comparisons between datasets, such as sales trends by region. Annotations are available through reference lines or bands, which can mark key values like averages or targets directly on the . A smoothed line variation curves the connections between points for a less jagged appearance when data points are dense. To set up a , select a for the x-axis to define the sequence of points, assign one or more to the y-axis for the values to plot, and use series fields to group into separate lines. Configuration options include sorting by or , applying filters to focus on subsets of , and setting ranges for time-based analyses. Styling features allow customization of line colors, weights, and visibility of data labels or gridlines, with support for up to 20 in single- setups. Area charts extend line charts by filling the space beneath the lines with color, emphasizing cumulative trends or the magnitude of changes over time or categories. They require a time or categorical dimension on the x-axis and a single metric on the y-axis, with a breakdown dimension to create overlapping or stacked series that represent parts of a whole. Stacked area charts layer series to show totals and compositions, such as cumulative by product category, while 100% stacked variants normalize values to highlight proportions regardless of scale. Reference lines can annotate significant thresholds, but they are unavailable in 100% stacked configurations. Setup for area charts involves assigning the primary to the x-axis, the to the y-axis, and series via the breakdown for layering; drill-down capabilities allow exploring hierarchical data levels. Style options include toggling points on the lines, enabling data labels, and adjusting stacking behavior, with color schemes matching series or dimensions for clarity. These charts support cross-filtering and zooming for interactive exploration, similar to other visualization types in Looker Studio. Bar charts, including their vertical column variants, facilitate comparisons across categories by representing values as horizontal or vertical , making them suitable for groupings. A on the x-axis defines categories (e.g., regions or months), on the y-axis set bar lengths or heights, and series enable multiple groupings for side-by-side or displays. bar charts combine subcategories within each bar to illustrate totals and compositions, while 100% versions show relative proportions summing to 100%. Horizontal are useful for long category labels, whereas vertical columns suit shorter ones; both support up to 20 with one . Configuration requires selecting the dimension for categories, metrics for values, and optional series for breakdowns, with , filters, and to refine the view. Features include reference lines for benchmarks, conditional formatting for highlighting, and a total card that appears on hover for stacked bars. Styling encompasses bar colors by series or theme, data labels, and axis scales, with zoom functionality limited to the x-axis in some cases. Scatter charts enable by plotting data points based on two —one for the x-axis and one for the y-axis—to reveal correlations, clusters, or outliers in relationships like ad spend versus conversions. Dimensions can group points into series, up to three levels, for multi-faceted views, and up to 1,000 points are supported to maintain performance. The variation adds a third for sizing, where larger bubbles indicate higher values, such as influencing other variables. Trend lines, available in linear, , or forms, overlay to quantify patterns and slopes. To configure a scatter chart, assign metrics to the x- and y-axes for coordinates, a dimension or for bubble size if applicable, and series dimensions for coloring or grouping points. Filters and sorting organize the data, while style options include opacity adjustments, data labels, and log scales for skewed distributions. Reference lines provide additional context, and tooltips display detailed values on hover for interactivity.

Pie, Bullet, and Treemap Charts

Pie charts in Looker Studio provide a circular for displaying proportions of a whole, where each slice represents the relative value of a single and combination. The determines the slice labels, while the dictates the size of each slice based on its value. Users can configure up to 10 slices, with any excess data aggregated into an "Others" category, and the chart can be styled as a solid pie or a donut variant by adjusting the inner . Labels can show percentages, values, or values, and colors can be applied uniformly, by slice order, or based on values. Bullet charts in Looker Studio serve as linear gauges to track a single 's progress toward a target, featuring a central for the actual value, a vertical line for the target, and up to three colored qualitative bands representing performance ranges such as poor, satisfactory, and good. The bands are customizable in color and range values to provide contextual benchmarks, allowing users to visually assess how the metric performs against goals. Additional styling options include labels, bar thickness, and with scorecards for enhanced display. Treemap charts in Looker Studio visualize hierarchical data through nested rectangles, where the size of each rectangle is proportional to a selected and the color indicates values from another or . Dimensions establish the hierarchy levels, supporting up to two levels simultaneously or drill-down interactions for deeper exploration, with a minimum of 5 and maximum of 5,000 rows. Rectangles are arranged to minimize whitespace, and options include showing branch headers, applying gradients or single colors, and enabling cross-filtering with other charts in the report. Data preparation for hierarchies involves ensuring dimensions are structured to reflect parent-child relationships. Best practices for these charts emphasize their targeted use to enhance clarity in reports. Pie charts should be limited to fewer than five categories to avoid visual clutter, as excessive slices can hinder accurate proportion interpretation; for more categories, alternatives like bar charts may be preferable. Bullet charts benefit from defining distinct qualitative bands that align with thresholds, ensuring quick identification of performance status without overwhelming the viewer. Treemaps excel for multi-level breakdowns of large datasets, such as sales by region and product, but require careful color selection to distinguish hierarchies without implying unintended comparisons.

Geographic and Map Visualizations

Looker Studio provides robust options for visualizing spatial data through and Geo charts, enabling users to represent geographic information interactively. visualizations support markers, heatmaps, and filled regions, allowing data to be plotted using latitude and longitude coordinates, addresses, or geospatial fields from sources like . These charts facilitate exploration of location-based patterns, such as customer distribution or regional sales density, by overlaying data points on a familiar map interface. Geo charts in Looker Studio specialize in choropleth maps, where regions like countries or states are shaded according to metric values to highlight variations across areas. For instance, a of the might color states by average sessions per user, with darker shades indicating higher values. visualizations also support bubble overlays, where circles sized by a metric (e.g., total revenue) can be placed on the map for additional layering. Configuration of these visualizations begins with selecting a geo dimension, such as country names, cities, or regions, which must match supported types like "" or "/Province" for proper recognition. Metrics are then assigned for coloring—using gradient scales from minimum to maximum values—or sizing bubbles, with options to customize color schemes and add optional metrics for deeper analysis. Zoom controls allow users to restrict the view to specific areas, such as a single country, and include pan, tilt, and fullscreen capabilities for enhanced navigation. Maps can integrate with filters to enable dynamic interactivity, such as updating visualizations based on date ranges or categories. Integrations enhance these capabilities, particularly with BigQuery's geospatial data types, supporting up to 1 million points for rendering polygons or points in filled maps and heatmaps. This allows direct pulls of complex geographic datasets, such as custom boundaries or location clusters, directly into reports without additional processing.

References

  1. [1]
    Looker Studio: Business Insights Visualizations | Google Cloud
    Looker Studio unlocks the power of your data by making it easy to create interactive dashboards and compelling reports from a wide variety of sources.BigQuery · Turned to Looker Studio Pro · Announced · Release Notes
  2. [2]
    The next evolution of Looker, your unified business intelligence ...
    Oct 11, 2022 · Looker Studio helps make it easy for everyone to do self-service analytics. It currently supports more than 800 data sources with a catalog surpassing 600 ...
  3. [3]
    Looker business intelligence platform embedded analytics
    Looker Studio offers interactive, collaborative, and ad hoc reports and dashboards, with access to over 800 data sources and connectors and a flexible drag-and- ...Looker Studio · Looker pricing · Looker · Free trial
  4. [4]
    Welcome to Looker Studio | Google Cloud Documentation
    Documentation for Looker Studio, a no-cost tool that turns your data into fully customizable reports. It provides an easy-to-use drag-and-drop editor.What you need to use Looker... · About Looker Studio Pro · Try Looker Studio Pro
  5. [5]
    Announcing Data Studio: our free, new, Data Visualization Product
    May 25, 2016 · Data Studio is a free tool to connect to marketing data, create informative reports, and share data easily within an organization.
  6. [6]
    Data Studio is now generally available - Google Blog
    Sep 20, 2018 · We're excited to announce that Data Studio, Google's free data visualization and reporting product, is out of beta and now generally available.
  7. [7]
    Welcoming Looker to Google Cloud
    Feb 13, 2020 · Looker will strengthen Google Cloud's analytics and data warehouse capabilities, including BigQuery, enabling our customers to address some of ...Missing: semantic modeling
  8. [8]
    Google to Acquire Looker | Google Cloud Blog
    Jun 6, 2019 · Google has entered into a definitive agreement to acquire Looker, a unified platform for business intelligence, data applications, and embedded analytics.
  9. [9]
    About Looker Studio Pro | Google Cloud Documentation
    With Looker Studio Pro, you get access to all the features of Looker Studio that you already know, plus enhanced enterprise capabilities and technical support.
  10. [10]
    Looker Studio Pro subscription overview
    A Looker Studio Pro subscription gives users in your organization all the features of the no-cost version of Looker Studio, plus the enhanced enterprise ...
  11. [11]
    Pricing | the AI-first Marketing Intelligence Platform - Supermetrics
    Supermetrics connects marketing data, reveals what works, and lets you act on it in one platform. Use AI to turn insights into measurable growth.
  12. [12]
    Available connectors | Looker - Google Cloud Documentation
    Connectors link your underlying data to a Looker Studio data source. Google provides the following connectors. You can also connect to data using connectors ...
  13. [13]
    Connect to Data - Looker Studio - Google
    Access your data from 1000+ data sets from over 1300 connectors. Looker Studio Connectors (21). Connectors built and supported by Looker Studio. Learn more.
  14. [14]
    Looker Studio Community Connectors - Google for Developers
    Sep 18, 2024 · Looker Studio Community Connectors enable direct connections from Looker Studio to any internet accessible data source.Build a connector · Build · Reference · Data types and semantic typesMissing: 2025 | Show results with:2025
  15. [15]
    About data sources | Looker Studio | Google Cloud Documentation
    File upload data sources let you import CSV data into Looker Studio. By using a file upload data source, you can visualize information not otherwise supported ...How (and when) data sources... · Embedded versus reusable...
  16. [16]
    How blends work in Looker Studio | Google Cloud Documentation
    Blending data lets you create charts, tables, and controls that are based on multiple data sources. You can blend data from up to five data sources in ...Differences between blends... · How blends work · Join operators · Join conditions
  17. [17]
    About calculated fields | Looker Studio - Google Cloud Documentation
    Calculated fields let you create new metrics and dimensions that are derived from your data. Calculated fields let you extend and transform the information ...
  18. [18]
    Create a report | Looker Studio - Google Cloud Documentation
    Create a new report · Sign in to Looker Studio. · Click Create and then select Report. · You'll see the report editor tool, with the Add data to report panel open.
  19. [19]
    Themes | Looker Studio | Google Cloud Documentation
    Jul 22, 2025 · Themes are a set of predefined color and style combinations you can apply to your reports. Applying a theme updates the style settings of ...
  20. [20]
    Report and page layout | Looker Studio
    Use report and layout settings to adjust page size, configure navigation, change layout grid settings, and change the order in which report-level components ...Snap To · Grid Settings · Report-Level Component...
  21. [21]
    About filter properties | Looker Studio - Google Cloud
    Pages. Page-level filters apply to every chart on that page. For example, you can dedicate page 1 of your Google Analytics report to mobile app traffic, and ...How filters work · Filter inheritance · Multiple filters on a component
  22. [22]
    Schedule automatic report delivery | Looker Studio - Google Cloud
    Scheduled email delivery lets you regularly send an email with a PDF attachment of the report. The email will also contain a preview of the report's first page, ...
  23. [23]
    Download a Looker Studio report as PDF
    Save a snapshot of your report by downloading it as PDF. You can then share the file offline using email, print it, archive it on disk, or do anything else ...
  24. [24]
    How to color your reports | Looker Studio
    Use the color picker to select colors for themes and components. The color picker has three sections: The standard color palette. This is the same for all ...
  25. [25]
    Use conditional formatting rules in Looker Studio - Google Cloud
    Conditional formatting will apply to the visible row when a collapsed value meets the applied conditions. Choose the colors in the Color and style section to ...Single Color Conditional... · Color Scale Conditional... · How To Select Colors
  26. [26]
    Drill into your data | Looker Studio - Google Cloud
    Click Drill actions at the bottom of the tooltip to open the Drill Actions menu. Turn on the Filter on switch. Click the downward-facing Drill Down arrow at the ...
  27. [27]
    Getting the most out of Looker visualizations cookbook: Tooltip ...
    including fields that are not in the Explore query. Caution: ...
  28. [28]
    Date range control | Looker Studio - Google Cloud Documentation
    The date range control is a customizable calendar widget that lets you adjust the timeframe of a report without editing the configuration.Add a date range control to a... · How date range controls work
  29. [29]
    Drop-down list and Fixed-size list control - Looker Studio Help
    These controls show a list of options from which you can select. The list can come from the values in a dimension, or from a list of acceptable values defined ...Missing: customization | Show results with:customization
  30. [30]
    Slider control | Looker Studio - Google Cloud Documentation
    Jul 22, 2025 · Slider controls let you filter by a range of values in a numeric dimension, or select a single value from a numeric parameter.Slider DATA options · Data Source · Slider STYLE optionsMissing: dropdown | Show results with:dropdown
  31. [31]
    Create a responsive report | Looker Studio
    Sign in to Looker Studio. Click Create and then select Report. Add a data source to the report. By default, the report type is set to Freeform.Add sections to your report · Add charts and controls to a... · Add a filter to a section
  32. [32]
    Embed and snippets | Integrate and share - Google for Developers
    Sep 18, 2024 · Share insights with the world by embedding a Looker Studio report in any site or app that supports the HTML iframe tag, oEmbed, and Open Graph Tags.
  33. [33]
    Table reference  |  Looker Studio  |  Google Cloud
    ### Summary of Table Charts in Looker Studio (Google Cloud Documentation)
  34. [34]
    Scorecard reference  |  Looker Studio  |  Google Cloud
    ### Summary of Scorecard Charts in Looker Studio (Google Cloud Documentation)
  35. [35]
    Gauge chart reference  |  Looker Studio  |  Google Cloud
    ### Summary of Gauge Charts in Looker Studio (Google Cloud Documentation)
  36. [36]
    Line chart and combo chart reference  |  Looker Studio  |  Google Cloud
    ### Description
  37. [37]
    https://cloud.google.com/looker/docs/studio/scorecard-reference
  38. [38]
    Area chart reference  |  Looker Studio  |  Google Cloud
    ### Description
  39. [39]
    Bar chart and column chart reference  |  Looker Studio  |  Google Cloud
    ### Description
  40. [40]
    None
    Nothing is retrieved...<|control11|><|separator|>
  41. [41]
    Pie chart reference | Looker Studio - Google Cloud Documentation
    Pie charts in Looker Studio visualize the relative values for a single dimension and metric combination. The dimension determines the number and names of the ...Pie charts in Looker Studio · Pie chart examples · Style the chart
  42. [42]
    Bullet chart reference | Looker Studio - Google Cloud Documentation
    Bullet charts in Looker Studio visualize a single metric. You can optionally display a target value, and set up to three ranges. You can also change the chart ...Bullet charts in Looker Studio · Set up the chart data · Style the chart
  43. [43]
    Treemap reference | Looker Studio - Google Cloud Documentation
    A treemap shows your data organized into dimension hierarchies. For example, you can use a treemap to show the average annual sales of each item in a ...Treemaps in Looker Studio · Set up the chart data · Style the chart
  44. [44]
    Google Maps reference | Looker Studio
    To visualize your data on a Google Map, follow these steps: Edit your report. Navigate to the page that will contain the chart. In the toolbar, click Add a ...Configure a filled map · Configure a line map · Configure a connection map
  45. [45]
    Geo chart reference | Looker Studio - Google Cloud Documentation
    A Geo chart provides a way to visualize how a measurement varies across a geographic area. The Looker Studio Geo chart is based on Google's GeoChart ...Geo Chart Examples · Set Up The Chart Data · Style The Chart
  46. [46]
    Geo dimension reference | Looker Studio
    This page defines the geo dimension types supported by Looker Studio, along with notes for how to use these in Geo charts and Google Maps. Continent. Available ...Subcontinent · Country subdivision (1st level) · Designated market area · City