---
title: Agentic AI and Agents for building Visualisation Dashboards
description: Explore how agentic AI and agents for building Visualisation Dashboards that are automated, interactive, and efficient.
image: https://www.xenonstack.com/hubfs/agentic-ai-agents-data-visualization.png
---

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# Agentic AI and Agents for building Visualisation Dashboards

[Navdeep Singh Gill](https://www.xenonstack.com/blog/author/navdeep-singh-gill) | 19 January 2026

Agentic AI and Agents for building Visualisation Dashboards

9:07

Effective [data visualization](https://www.xenonstack.com/big-data-analytics/data-visualization/) is crucial in big data analytics, transforming vast and complex datasets into understandable graphical representations. With the right tools, organizations can detect trends, uncover insights, and make data-driven decisions efficiently. Poor visualization, on the other hand, can lead to misinterpretations, resulting in costly business consequences.

 

Platforms like Facebook handle approximately 4 petabytes of data daily, including videos, images, and text. Without advanced visualization techniques, deriving insights from such massive datasets would be nearly impossible. 

## **How Organizations Leverage Big Data Visualization**

1. **Facebook** utilizes "HiPlot" to explore and visualize multidimensional data interactively.
2. **For comprehensive data analysis, IBM** integrates "Big SQL" with visualization tools such as Zeppelin notebooks, Tableau, and Cognos.
3. **Amazon** employs tools like AMZ Base, Amylase, and SellerApp to facilitate data visualization and analytics.
4. **Microsoft Power BI** enables organizations to create interactive dashboards, integrate AI-driven insights, and perform real-time big data analytics.

Organizations can use these tools to convert raw, unstructured data into meaningful visual narratives, empowering decision-makers with clear, actionable insights.

## Importance of Data Visualization Dashboards

![importance-data-visualization-dashboards](https://www.xenonstack.com/hs-fs/hubfs/importance-data-visualization-dashboards.png?width=1920&height=1080&name=importance-data-visualization-dashboards.png)**Fig 1: Importance of Data Visualization Dashboards**

 

Organizations generate and store massive amounts of information every day. However, raw data can be challenging to interpret, mainly when spread across various systems or presented in dense formats. **Data visualization dashboards** help bridge this gap by transforming complex data into clear, visual formats that are easier to understand and act upon.

#### 1. **Makes Complex Data Understandable**

Dashboards convert detailed datasets into visual elements like charts, graphs, and maps. This simplifies interpretation, allowing people at all levels of an organization to grasp key insights quickly.

#### 2. **Enables Real-Time Tracking**

With dashboards, key metrics and performance indicators can be monitored in real-time. This allows for faster response to challenges and more timely decision-making, helping organizations stay agile.

#### 3. **Supports Better Decisions**

When data is presented visually, patterns and relationships become more apparent. This clarity leads to more informed and confident decisions across departments.

#### 4. **Saves Time and Improves Efficiency**

Instead of combing through multiple spreadsheets or reports, users can access a centralized view of essential data. Dashboards streamline the process, reduce errors, and save valuable time.

#### 5. **Interactive and Customizable**

Dashboards can be tailored to show the most relevant information for specific roles or goals. Many platforms allow users to filter data, drill down into particular areas, and change views to suit their needs.

#### 6. **Encourages Collaboration**

By offering a single, consistent view of essential data, dashboards help teams work together more effectively. Everyone operates from the same information, which promotes alignment and transparency.

#### 7. **Reveals Trends and Forecasts**

Visual dashboards make detecting trends, spotting irregularities, and anticipating future outcomes easier. This proactive approach helps teams prepare, adapt, and plan more confidently.

#### 8. **Engages Users**

Well-designed dashboards are visually appealing and easier to interact with than traditional reports. This increases user engagement and encourages a more frequent review of key metrics.

## **Challenges in Big Data Visualization**

Despite advancements in visualization tools, challenges persist when dealing with large-scale datasets:

1. **Perceptual Scalability**: Human cognitive limitations make it challenging to interpret vast datasets, and screen size constraints further complicate effective visualization.
2. **Real-time Scalability**: Processing and rendering massive datasets in real-time require substantial computational resources.
3. **Interactive Scalability**: As datasets grow, visualization tools may face performance bottlenecks, resulting in lagging interfaces and system slowdowns.

## **Agentic AI: The Future of Enterprise Data Visualization**

Agentic AI transforms big data visualization by automating insights, detecting patterns, and enhancing [real-time decision-making](https://agentanalyst.ai/). Unlike traditional AI, [Agentic AI](https://www.xenonstack.com/blog/agentic-ai) autonomously analyzes and visualizes data, reducing the burden on business leaders and analysts.

### **Key AI Capabilities for Data Visualization**

1. **Automated Data Interpretation:** AI detects anomalies and **highlights critical insights** without manual intervention.
2. **Predictive Analytics:** Machine learning algorithms forecast trends and **simulate business scenarios**.
3. **Natural Language Processing (NLP):** Enables executives to ask business questions and receive AI-generated visual reports instantly.
4. **Data Imputation & Augmentation:** AI fills missing data gaps and enriches datasets for **more accurate business intelligence**.

![big-data-services](https://www.xenonstack.com/hubfs/big-data-services.svg)

**[Big Data](https://www.xenonstack.com/insights/what-is-big-data) is all about large and complex data sets, which can be structured and unstructured. Its concept encompasses the infrastructures, technologies, and tools created to manage this large amount of information.** 

## **Data Visualization with Microsoft Power BI**

### **Introduction to Power BI**

Microsoft Power BI is one of the most widely used business intelligence (BI) tools, allowing users to visualize data interactively and in real time. It helps organizations:

- Create **dynamic dashboards** for tracking key performance indicators (KPIs).
- Integrate with multiple data sources, including **SQL Server, Excel, and cloud platforms**.
- Leverage **AI-driven insights** using **DAX (Data Analysis Expressions)** and **natural language processing (NLP)**.
- Enhance collaboration with **interactive reports and real-time data exploration**.

### **Installation and Setup of Power BI**

Power BI is available in different formats:

 

**1. Online Version**: This can be accessed via the Microsoft Store or Power BI Web Service.

![xenonstack-install-the-power-bi-3-1-1](https://www.xenonstack.com/hs-fs/hubfs/images/xenonstack-install-the-power-bi-3-1-1.png?width=1130&height=583&name=xenonstack-install-the-power-bi-3-1-1.png)

**Fig 2: Power BI**

**2. Desktop Version**: Available for Windows machines (Mac users can use Windows Azure to run it).

To install:

![xenonstack-installation-completed](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-installation-completed.png?width=1108&height=572&name=xenonstack-installation-completed.png)**Fig 3: Power BI Desktop**

 

- Download the latest version (32-bit or 64-bit).
- Follow the installation prompts to set up Power BI Desktop.
- Sign in with a Microsoft account to access online features.

### **Key Features of Power BI for Big Data Visualization**

1. **Diverse Visualization Options**: Includes bar charts, pie charts, treemaps, filled maps, funnel charts, and waterfall charts.
2. **Data Connectivity**: It imports data from sources such as **SQL Server, Excel, Azure, APIs, and third-party applications**.
3. **Interactive Dashboards**: Allows users to create visually appealing reports with **real-time filtering and drill-down options**.
4. **Q&A Functionality**: This enables users to ask questions in natural language, and Power BI automatically generates visual insights.
5. **AI-Powered Analytics**: Uses **machine learning models** to predict trends and generate meaningful insights.
6. **Data Relationship Mapping**: Helps users understand data dependencies and relationships between multiple datasets.
7. **Regular Updates**: Power BI receives monthly updates with new features and optimizations.

## **Data Analytics Connectivity in Power BI**

Power BI allows seamless connectivity with various data sources, such as:

 

- **Excel**: Imports and transforms spreadsheets into dynamic reports.

![xenonstack-excel-with-power-bi-3](https://www.xenonstack.com/hs-fs/hubfs/images/xenonstack-excel-with-power-bi-3.png?width=1366&height=768&name=xenonstack-excel-with-power-bi-3.png)

**Fig 4: Excel With Power BI**

- **SQL Server**: Connects directly to enterprise databases for robust data analysis.

![xenonstack-sql-power-bi](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-sql-power-bi.png?width=1366&height=768&name=xenonstack-sql-power-bi.png)**Fig 5: SQL with Power BI** 

- **Cloud Data Warehouses**: Supports integrations with **Azure, AWS, Google Cloud, and Snowflake**.

> To connect a dataset: 
> 
> 1. Click on **"Get Data"** and choose a source (Excel, SQL Server, APIs, etc.).
> 2. Load the dataset and preview the available tables.
> 3. Establish **relationships** between datasets for enhanced analytics.

## **Agentic AI-Enhanced Big Data Visualization Tools**

Several AI-powered visualization tools are shaping big data analytics:

![xenonstack-power-bi-icons](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-power-bi-icons.png?width=1408&height=1080&name=xenonstack-power-bi-icons.png)

**Fig 6: Types of Visualization**

1. [**Google Charts**:](https://developers.google.com/chart) A versatile tool that supports structured and unstructured data, allowing users to create a variety of customizable visualizations for web and mobile applications.
2. **Tableau** is an intuitive platform that leverages AI-driven analytics to detect patterns automatically, providing valuable insights and facilitating interactive data exploration.
3. **Microsoft Power BI**: Combines AI-powered predictive analytics with natural language processing (NLP), enabling users to generate visual insights and ask data-driven questions in plain language.
4. [**D3.js**:](https://d3js.org/)A powerful open-source JavaScript library used to create dynamic, interactive, and highly customizable data visualizations for web-based applications.
5. [**Datawrapper**:](https://www.datawrapper.de/) A user-friendly tool designed for creating responsive, high-quality charts and maps that can be easily embedded into websites and reports.
6. [**Databox**:](https://databox.com/)A real-time, AI-enhanced dashboard that aggregates data from various sources, helping businesses monitor key performance indicators (KPIs) and make informed decisions instantly.

## **Designing an Interactive Dashboard in Power BI**

A **dashboard** in Power BI is a single-page visualization that combines multiple data insights into a unified view. Key steps in creating an effective dashboard include:

1. **Selecting the Right Metrics**: Choose KPIs relevant to business objectives.
2. **Choosing the Right Visualization**: Use line charts for trends, bar charts for comparisons, and pie charts for proportions.
3. **Building Interactivity**: Enable drill-downs, slicers, and filters for user engagement.
4. **Ensuring Data Accuracy**: Validate sources and ensure consistency across datasets.

### **Example Dashboards in Power BI**

1. **Employee Productivity Dashboard**: Uses line charts to track productivity trends.
2. **Financial Performance Dashboard**: Employs treemaps to visualize revenue and expenses.
3. **Project Time Allocation Dashboard**: Displays time spent on different projects using clustered bar charts.

> ## **Best Practices for Big Data Visualization**
> 
> 1. **Leverage NoSQL for Unstructured Data**: Store raw data in **MongoDB** before refining and visualizing it.
> 2. **Choose the Right Visualization Tools**: Select AI-powered tools based on dataset complexity.
> 3. **Incorporate AI and Machine Learning**: Enhance predictive analytics using AI-driven models.
> 4. **Develop User-Friendly Dashboards**: Ensure dashboards are **interactive, intuitive, and visually appealing**.

## **The Future of Data Visualization with Agentic AI**

The evolution of data visualization is moving toward **AI-driven intelligence**, enabling businesses to automate insights, improve predictive analytics, and optimize decision-making. As AI technology advances, **Agentic AI** will continue to revolutionize big data visualization by:

- **Enhancing real-time analytics**.
- **Automating complex data transformations**.
- **Personalizing insights through intelligent agents**.

With the integration of **[Power BI](https://www.microsoft.com/en-us/power-platform/products/power-bi), [Tableau](https://www.tableau.com/), and AI-driven analytics**, businesses can unlock the full potential of their data resources, leading to **smarter, faster, and more impactful decision-making**.

## Next Steps with Agentic AI

Talk to our experts about implementing Agentic AI-powered systems, where industries and different departments leverage Agentic Workflows and Decision Intelligence to become decision-centric. By utilizing AI for automated data visualization, organizations can streamline IT support and operations, improving efficiency and responsiveness with actionable insights and real-time decision-making.

[Contact Us](https://www.xenonstack.com/contact-us/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/)

### More Ways to Explore Us

### [Data Quality Management and its Best Practices.](https://www.xenonstack.com/insights/data-quality-management)

### [Top 10 Best Practices for effective Data Visualization](https://www.xenonstack.com/blog/best-practices-data-visualization)

### [Advanced Data Visualization Techniques and its Features](https://www.xenonstack.com/blog/data-visualization-techniques)

 

 

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## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

[Explore More by Navdeep Singh Gill ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/navdeep-singh-gill)

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XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance.

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## AI Engineering

[Composite AI](https://www.xenonstack.com/artificial-intelligence/composite-ai/) [Decision AI](https://www.xenonstack.com/artificial-intelligence/decision-ai/) [AI Quality](https://www.xenonstack.com/artificial-intelligence/ai-quality/) [Generative AI](https://www.xenonstack.com/artificial-intelligence/generative-ai/) [Multimodal AI](https://www.xenonstack.com/artificial-intelligence/multimodal-ai/) [AI Assurance](https://www.xenonstack.com/artificial-intelligence/explainable-ai/) [MLOps](https://www.xenonstack.com/artificial-intelligence/mlops/) [Physical AI](https://www.xenonstack.com/artificial-intelligence/physical-ai/) [Augmented Engineering](https://www.xenonstack.com/artificial-intelligence/ai-augmented-software-development/) [Generative BI](https://www.xenonstack.com/artificial-intelligence/generative-bi/)

## Data Foundry

[Streaming Data Platform](https://www.xenonstack.com/dataops/streaming-data-platform/) [Data Lakehouse](https://www.xenonstack.com/dataops/delta-lake/) [Data Catalog](https://www.xenonstack.com/dataops/data-catalog/) [Data Observability](https://www.xenonstack.com/dataops/data-observability/) [Cloud Data Warehouse](https://www.xenonstack.com/dataops/cloud-data-warehouse/) [Data Engineering](https://www.xenonstack.com/dataops/data-engineering/) [MetaData Management](https://www.xenonstack.com/dataops/metadata-management/) [Data Quality](https://www.xenonstack.com/dataops/augmented-data-quality/) [Real Time Analytics](https://www.xenonstack.com/dataops/real-time-analytics/) [Data Modernization](https://www.xenonstack.com/dataops/data-modernization/)

## Platform Engineering

[Cloud Native](https://www.xenonstack.com/cloud-native/platform-engineering/) [Automation As Code](https://www.xenonstack.com/cloud-native/automation-as-code/) [Observability](https://www.xenonstack.com/cloud-native/observability/) [FinOps](https://www.xenonstack.com/cloud-native/finops/) [Application Modernization](https://www.xenonstack.com/cloud-native/application-modernization/) [DevSecOps](https://www.xenonstack.com/cloud-native/devsecops/) [Site Reliability Engineering](https://www.xenonstack.com/cloud-native/site-reliability-engineering/) [Progressive Delivery](https://www.xenonstack.com/cloud-native/progressive-delivery/) [GitOps](https://www.xenonstack.com/cloud-native/gitops/) [Compliance as code](https://www.xenonstack.com/cloud-native/compliance-as-code/) [Value Stream Management](https://www.xenonstack.com/cloud-native/value-stream-management/) [Policy as Code](https://www.xenonstack.com/cloud-native/policy-as-code/) [Telemetry Pipeline](https://www.xenonstack.com/cloud-native/telemetry-pipeline/)

## Agentic AI

[Agentic Analytics](https://www.xenonstack.com/agentic-ai/enterprise-systems/) [Agentic AI Systems](https://www.xenonstack.com/agentic-ai/agentic-ai-system/) [Process Intelligence](https://www.xenonstack.com/agentic-ai/business-process-operations/) [Developer Experience](https://www.xenonstack.com/agentic-ai/developer-experience-platform/) [Autonomous Operations](https://www.xenonstack.com/agentic-ai/autonomous-operations/) [AI Vision at EDGE](https://www.xenonstack.com/agentic-ai/edge-and-vision-ai/) [Compound AI System](https://www.xenonstack.com/agentic-ai/compound-ai-system/) [GUI Agents](https://www.xenonstack.com/agetic-ai/gui-agents/) [CMDB Management](https://www.xenonstack.com/agentic-ai/cmdb-management/) [ITSM](https://www.xenonstack.com/agentic-ai/itsm/) [Network Automation](https://www.xenonstack.com/agentic-ai/network-automation/)

## AI Agents

[DataBricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [SnowFlake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [AWS AI Agents](https://www.xenonstack.com/ai-agents/aws-ai-agents/) [Microsoft Azure AI Agents](https://www.xenonstack.com/ai-agents/microsoft-azure-ai-agents-actions/) [SalesForce AI Agents](https://www.xenonstack.com/ai-agents/salesforce-agents-actions/) [MySQL AI Agents](https://www.xenonstack.com/ai-agents/mysql-agents-actions/) [PostgreSQL AI Agents](https://www.xenonstack.com/ai-agents/postgresql-agents-actions/) [Datadog AI Agents](https://www.xenonstack.com/ai-agents/datadog-agents-actions/) [DynaTrace AI Agents](https://www.xenonstack.com/ai-agents/dynatrace-agents-actions/) [Splunk AI Agents](https://www.xenonstack.com/ai-agents/splunk-agents-actions/) [BigQuery AI Agents](https://www.xenonstack.com/ai-agents/bigquery-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Infor AI Agents](https://www.xenonstack.com/ai-agents/infor-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) [WorkDay AI Agents](https://www.xenonstack.com/ai-agents/workday-agents-actions/) [Jira AI Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/)

## Industry

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## Enterprise Support

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## Solutions

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## Company

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![india-flag-icon](https://www.xenonstack.com/hubfs/united-states.svg)

USA

![india-flag-icon](https://www.xenonstack.com/hubfs/uae-flag-icon.svg)

Dubai

![india-flag-icon](https://www.xenonstack.com/hubfs/india-flag-icon.svg)

India

![india-flag-icon](https://www.xenonstack.com/hubfs/united-kingdom.svg)

UK

![india-flag-icon](https://www.xenonstack.com/hubfs/australia-flag-icon.svg)

Australia

✕

## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
- ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments
- ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR

[Explore Agent SRE](https://agentsre.ai/)

![akira-ai-banner-illustration](https://www.xenonstack.com/hubfs/akira-ai-banner-illustration.svg)

✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
- ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback
- ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance

[See Vision AI in Action](https://www.xenonstack.ai/)

![physical-surveillance](https://www.xenonstack.com/hubfs/xai-banner-image.svg)

✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg)

✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg)

✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg)

✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg)

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