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How can you create easy-to-understand Data Visualization storytelling frameworks?

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Data visualization is a powerful way to communicate complex and meaningful information to your audience. But how can you make sure that your data visualizations tell a clear and compelling story? In this article, you will learn how to create easy-to-understand data visualization storytelling frameworks that can help you structure your data, design your visuals, and deliver your message.

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George McCrea

DataIQ Top 100 List 2024 & 2022 (#10),2023??Analytics, insights and visualisation leader??Data Story teller…
Partha Sarathi Kundu

Data - Cloud - Automation | 3xAWS Certified | AWS Community Builder
Rajeshwari Guddeti

Data Enthusiast || Power BI || Tableau || Microsoft Certified Data Analyst Associate || Microsoft Certified Azure Data…

1 What is a data visualization storytelling framework?

A data visualization storytelling framework is a set of guidelines or principles that help you plan, create, and present your data visualizations in a logical and engaging way. A framework can help you define your goal, audience, data, message, and visual elements, and how they relate to each other. A framework can also help you avoid common pitfalls, such as clutter, confusion, or distortion, that can undermine your data visualization storytelling.

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Partha Sarathi Kundu

Data - Cloud - Automation | 3xAWS Certified | AWS Community Builder
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Creating easy-to-understand data visualization storytelling frameworks is all about striking a balance between clarity and engagement. I've learned this firsthand during my time as a data analyst. One of my most memorable experiences was when I needed to present complex sales data to a non-technical audience.

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Rajeshwari Guddeti

Data Enthusiast || Power BI || Tableau || Microsoft Certified Data Analyst Associate || Microsoft Certified Azure Data Fundamentals
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Data storytelling is the art of creating a compelling narrative based on complex data and analytics that help inform and influence a particular audience. To create easy-to-understand data visualization storytelling frameworks, you can follow a structured approach that involves three essential elements: narrative, visuals, and data. The following seven-step framework can help you improve your data storytelling: 1) Define the purpose of your story, 2) Collect data, 3) Think about your theory, 4) Outline everything from the intro to the conclusion, 5) Ask questions, 6) Create a goal for your audience, and 7) Use data sets that help guide your narrative unbiased.

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2 Why do you need a data visualization storytelling framework?

A data visualization storytelling framework can offer several advantages. It can help you pinpoint what you want to accomplish with your data visualization, the questions you want to answer, and the actions you want to inspire. Additionally, it can assist in tailoring the data visualization to your specific audience and context. Furthermore, it can help you select the right data sources, clean and transform the data, and perform suitable analysis and interpretation. Moreover, it can help you define the main takeaway of your data visualization, the supporting evidence and arguments, and the narrative arc or structure that ties them together. Finally, a framework can help you choose the best type of chart or graph for your data and apply principles of visual design such as color, shape, size, layout, and annotation.

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George McCrea

DataIQ Top 100 List 2024 & 2022 (#10),2023??Analytics, insights and visualisation leader??Data Story teller ??Co-founder #DataFit Club??Innovation Fellow??Geospatial Leader??Keynote speaker?? CDO Summer School
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Commonality creates comfort, and within this alliteration lies the answer. ?? The audience for the visualisation and story telling are not going to be the same people involved in creating this, so you must consider them coming from a 'cold start' with zero knowledge, so in that regard you must provide a common framework so they know what to expect at each stage. In various aplnning/agile methodologies there is a sequential frame work that enables a process to be followed and not be the subject of confusion to enable maximum focus on the specifics of this task/story. If you don't have a framework you are likely to be wasting the opportuntiy to derive real insight from the story.

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Partha Sarathi Kundu

Data - Cloud - Automation | 3xAWS Certified | AWS Community Builder
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To make it accessible, I began with a relatable analogy: the data was like ingredients in a recipe, and our sales process was the cooking method. Then, I used a simple line chart to show the sales journey. Each point on the graph represented a step in the recipe, making it easy for everyone to follow. It not only made the data more understandable but also sparked meaningful discussions. The key is to find relatable metaphors, use simple visuals, and connect the data to a narrative that your audience can easily grasp.

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3 How can you create a data visualization storytelling framework?

Creating a data visualization storytelling framework requires careful thought and consideration. It is important to define your goal and audience, explore and prepare your data, craft your message and narrative, and choose and design your visual elements. To begin, ask yourself why you are creating the data visualization, who it is for, and what you want to achieve. Then, collect the necessary data, check its quality, and clean or transform it as needed. After that, decide what message you want to communicate with your data visualization and how you want to guide your audience through it. Finally, select the best type of visual representation for your data and apply principles of visual design to make it clear, attractive, and informative.

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Partha Sarathi Kundu

Data - Cloud - Automation | 3xAWS Certified | AWS Community Builder
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In creating easy-to-understand data visualization storytelling frameworks: 1. Begin with a relatable narrative. 2. Simplify visuals for clarity. 3. Highlight key insights with emphasis. 4. Maintain consistent labels and scales. 5. Encourage two-way communication. Effective data storytelling hinges on simplicity, engagement, and clear communication.

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4 What are some examples of data visualization storytelling frameworks?

When creating effective data visualizations, there are many existing data visualization storytelling frameworks that can provide inspiration or serve as a reference. Stephanie Evergreen and Ann Emery's Data Visualization Checklist outlines criteria and best practices for text, arrangement, color, and lines. Alberto Cairo's Data-Driven Storytelling Canvas helps you plan and sketch your data visualization story, while Cole Nussbaumer Knaflic's Storytelling with Data Process guides you through six steps to create and deliver impactful data visualizations. From understanding the context and selecting an effective visual to eliminating clutter and telling a story, these frameworks can help you create compelling data visualizations.

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5 How can you improve your data visualization storytelling skills?

Developing a knack for creating easy-to-understand data visualization storytelling frameworks is a skill that can be honed through practice and learning from others. To improve your data visualization storytelling skills, seek feedback and critique from your peers, colleagues, or mentors. Also, look for examples of data visualizations that tell a clear and compelling story and analyze what makes them effective or not. Additionally, follow and learn from data visualization experts such as Edward Tufte, Alberto Cairo, or Cole Nussbaumer Knaflic by reading their books, blogs, or courses. Lastly, experiment with different types of data visualizations, visual design elements, and narrative structures to see how they affect your message and audience. Test and refine your data visualizations and make changes based on feedback and results.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Partha Sarathi Kundu

Data - Cloud - Automation | 3xAWS Certified | AWS Community Builder
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In addition to the previous points, consider the following when creating easy-to-understand data visualization storytelling frameworks: 1. Know Your Audience: Tailor your visualizations to the background and interests of your audience. What matters to them most? 2. Tell a Progressive Story: Structure your data storytelling in a logical sequence, building up to the main point or insight. 3. Choose the Right Tool: Select the appropriate data visualization tools and software that align with your message and data type. By considering these additional factors, you can create data storytelling frameworks that are not only easy to understand but also highly impactful.

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How can you create easy-to-understand Data Visualization storytelling frameworks?

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6

1 What is a data visualization storytelling framework?

2 Why do you need a data visualization storytelling framework?

3 How can you create a data visualization storytelling framework?

4 What are some examples of data visualization storytelling frameworks?

5 How can you improve your data visualization storytelling skills?

6 Here’s what else to consider

Data Visualization

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How can you create easy-to-understand Data Visualization storytelling frameworks?

1

2

3

4

5

6

1 What is a data visualization storytelling framework?

2 Why do you need a data visualization storytelling framework?

3 How can you create a data visualization storytelling framework?

4 What are some examples of data visualization storytelling frameworks?

5 How can you improve your data visualization storytelling skills?

6 Here’s what else to consider

Data Visualization

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