How do you use storytelling and data visualization to present your ideas or results?

2 Data visualization basics

Data visualization is the process of transforming data into visual forms, such as charts, graphs, maps, or diagrams. It can help you simplify complex information, highlight key insights, and persuade your audience with evidence. To create effective data visualizations, you need to consider four elements: the data, the format, the design, and the context. The data is the source and quality of your information, the format is the type and shape of your visual, the design is the style and aesthetics of your visual, and the context is the background and relevance of your visual.

3 Examples of storytelling and data visualization

To illustrate how storytelling and data visualization can work together, let's look at some examples from different fields and scenarios. For example, if you are a marketer who wants to showcase the success of a campaign, you can use a story arc to show the problem, the solution, and the results. You can also use data visualizations to support your story with numbers and trends. For example, you can use a bar chart to compare the performance of different channels, a line chart to show the growth of traffic or conversions, or a pie chart to show the distribution of customers or segments.

4 Tips for resumes and interviews

How can you apply storytelling and data visualization to your resumes and interviews? Here are some tips to help you improve your communication skills and impress your potential employers. First, use stories to highlight your achievements, skills, and values. Use the STAR method (Situation, Task, Action, Result) to structure your stories and show how you solved a problem, improved a situation, or created an impact. Second, use data visualizations to quantify your achievements, skills, and values. Use the SMART method (Specific, Measurable, Achievable, Relevant, Time-bound) to define your metrics and goals and show how you measured and achieved them. Third, use both stories and data visualizations to tailor your communication to your target audience. Research the company, the role, and the industry and use relevant examples and visuals that match their needs and expectations.

5 Best practices for storytelling and data visualization

To make your storytelling and data visualization more effective and engaging, follow these best practices. First, keep it simple and clear. Avoid jargon, technical terms, or unnecessary details that might confuse or bore your audience. Use simple language, short sentences, and clear transitions. Second, keep it relevant and focused. Avoid irrelevant or distracting information that might dilute or contradict your message. Use only the most important and relevant data and visuals that support your goal and audience. Third, keep it consistent and coherent. Avoid inconsistent or conflicting information that might undermine or confuse your message. Use consistent formats, colors, fonts, and styles for your data and visuals. Use coherent logic, flow, and tone for your stories.