¿Cuál es la mejor manera de diseñar diapositivas de presentación que visualicen los datos de manera efectiva?

Focus on a compelling narrative. Start with a clear storyline to guide your audience through the data. Use visuals like charts and graphs to simplify complex information, ensuring they support rather than overwhelm your message. Maintain consistency in color schemes and fonts for a polished look. Include annotations to highlight key insights, and always consider your audience's level of familiarity with the data.

Muitas vezes a gente usa a intuição para escolher qual gráfico colocar na apresentação, mas existe toda uma lógica por trás. Por exemplo, gráficos de coluna são mais adequados para séries temporais com poucos períodos e para grandezas com um início e fim no período. Isso porque ele mais na foca na magnitude de cada período. Já o gráfico de linha também é indicado para séries temporais, porém com mais divisões de períodos e/ou com grandezas que "carregam o histórico" do período anterior. Isso porque ele mostra melhor tendências e variações contínuas.

- Importance: The right chart can make or break your data's impact. Examples: Use pie or donut charts for proportions, line or bar charts for trends, and scatter or bubble charts for variable relationships. Key Considerations: Focus on what you want to emphasize and avoid pitfalls like misleading scales or clutter.

Great comments! I would add know your audience or anticipate your audience.Are they speaking the same professional language and review data in detail or from a broader view? I try to include information so that all participants can be pulled into the slide: weather they are visual, auditory, write/read and kinesthetic (a bit more difficult).

Stick to one main idea per slide. Use appropriate charts and graphs. Use color to highlight key data. Ensure text is big and readable. Keep design consistent. Draw attention to key data points.

- Strategy: Colors and fonts aren't just aesthetic choices; they guide the viewer's attention. - Tools: Utilize tools like Coolors or Adobe Color for harmonious palettes. - Best Practices: Opt for clear, professional fonts and a limited palette to avoid confusion and maintain brand consistency.

Fonts and colours are often undermined. I prefer light colours in charts so font is easily visible, gradients can be used to show the heat. Fonts should be clearly visible and not too tacky.

Using fonts which makes your presentation stand out is a must. You can use fonts like: 1. Verdana 2. Tahoma 3. Georgia The above fonts are some of the popular fonts used by many creators.

Few years back, I attended a workshop on story telling and few points got stuck with me....here are some that can help: 1. Know your audience - What content is to be included? 2. Focus on the objective - What is the ultimate goal for this presentation? 3. Stick to the topic and facts - Putting everything and anything will make the viewer loose focus. 4. Use dynamic infographics to capture attention. 5. At the end, try to show the benefits/drawbacks if required. (based on topic).

Beispiele & Kundenerfahrungen sind bereits die einfachsten Formen des Storytelling. Und unser Gehirn liebt Geschichten. Geschichte halten die Aufmerksamkeit hoch und sorgen dafür, dass sich deine Botschaften langfristig einprägen.

Don’t expect your audience to see data and instantly understand. Use story telling to paint a picture of what data is telling us. Better yet, what it means as a result and how it is impacting decisions or next steps. Use phrases like: So we wondered, how does this compare Here we can see The change over time shows us As a result we found Be selective in what you show. Do you need every column to have a data call out? Does a title add clutter or clarity? Know your data inside and out, but edit what is shown. Every element should have a clear purpose. Putting all you know in one set of data is overwhelming and will loose the reader/audience. Be selective, but have the knowledge and context to back it up.

- Approach: Engage your audience with a narrative that makes data relatable. - Structure: Start with a hook, establish context, present data effectively, and conclude with a compelling call to action. - Goal: Transform data from mere numbers to a persuasive narrative.

If you can tell a story through the data it is easier for your audience to understand and relate to. They can apply the data to their own situation and it is more likely to be remembered.

So often, less is more, especially when it comes to slides with data. Create a slide with the minimum amount of information that will tell the story and then craft your story that describes what your audience is viewing.

- Challenge: Avoid overwhelming your audience with information overload. - Technique: Limit to one chart per slide and utilize white space for balance. - Outcome: Aim for clarity, professional appearance, and direct messaging.

- Process: Continuously improve your slides through testing and feedback. - Tools: Use devices, software like Grammarly or Hemingway, and gather peer reviews. - Objective: Enhance quality, accuracy, and overall impact.

At times, less is more. When it comes to slides, it should not look clustered. It should be neat. You can do this by using one chart per slide to draw attention to one message, insight, or argument. Also, you can use proper spacing around your chart or texts, it will make your slides look professional! You can remove the data which is not relevant to the topic.

Generell gilt: weniger ist mehr! Stell dir die Frage, welches Ziel du mit deiner Präsentation verbindest. Dann reduziere die präsentierten Daten entsprechend. Und für alle, die mehr wissen wollen oder die Details erfragen, verwende ein Handout.

To effectively test and refine a design for presentation slides, one must prioritize clarity and engagement. Begin by identifying key data points and structuring them logically. Utilize visuals like charts and graphs to simplify complex information. Ensure a consistent design theme for cohesion. Test the slides on a diverse audience for feedback, refining based on their responses. Balance text and visuals to maintain audience interest. Use a clean layout, choosing fonts and colors that enhance readability. Implement a narrative flow to guide viewers through the data. Remember, simplicity is key—striking a balance between informative content and visual appeal ensures a successful presentation that resonates with your audience.

Just like creating a perfect search to gather the data you're looking for, creating effective and readable presentation slides takes many drafts with subsequent edits. You'll need to test for the variety of factors like your audience, choice of data visualization, and formatting and continue to refine the slide. My favorite test of slides is to test present in front of someone who has little knowledge of the subject as the fresh eyes and brain can easily point you towards edits that will greatly impact clarity.

En mi perspectiva: resaltaría la importancia de resumir, destacando datos exactos. Escoger imágenes representativas (de preferencia crearse sus propias imágenes). Todo esto acompañado con tecnología, y evitando caer en lo tedioso.

When designing presentation slides for effective data visualization, it’s crucial to narrate a story through your data. For instance, a startup’s slide deck might use data to narrate a story of growth and market potential, capturing investor interest. Emphasize simplicity to avoid overwhelming your audience. Complex data can be supplemented through detailed handouts, keeping your slides focused. Also, use color strategically to highlight key data and guide viewers’ attention. Choose colors that enhance clarity and avoid misinterpretation. This approach not only informs but also engages and persuades your audience, making your presentation memorable.