How do you collaborate and get feedback on your interactive and dynamic visuals?

1 Choose the right platform

Depending on your purpose, audience, and data, you may want to use different platforms to create and share your interactive and dynamic visuals. For example, you may use Tableau, Power BI, or Google Data Studio for dashboards and reports, D3.js, Plotly, or Highcharts for web-based charts, or R Shiny, Dash, or Streamlit for interactive web apps. Each platform has its own features, limitations, and learning curve. You should consider factors such as functionality, flexibility, cost, security, and collaboration options when choosing the right platform for your project.

2 Share your visuals online

One of the benefits of interactive and dynamic visuals is that they can be accessed and viewed online, without requiring any software installation or download. This makes it easier to share your visuals with your collaborators, clients, or stakeholders. However, you also need to ensure that your visuals are compatible with different browsers, devices, and screen sizes, and that they load fast and smoothly. You may need to use tools such as GitHub Pages, Netlify, Heroku, or Azure to host and deploy your visuals online, and use responsive design techniques to make them adaptable to different formats.

4 Incorporate feedback into your visuals

Once you have collected feedback on your interactive and dynamic visuals, you should analyze and prioritize it, and incorporate it into your visuals. You should also communicate how you have addressed the feedback to your collaborators, clients, or stakeholders, and explain why you have made certain changes or decisions. You can use tools such as Google Slides, PowerPoint, or Prezi to create presentations and showcase your visuals and the feedback you have received and implemented. You should also invite further feedback and questions to ensure that your visuals meet the expectations and requirements of your audience.

5 Document and share your code

If you have used code to create your interactive and dynamic visuals, you should document and share your code with your collaborators, clients, or stakeholders, especially if they are interested in learning more about how you have created your visuals or want to modify or reuse them. You should use tools such as GitHub, GitLab, or Bitbucket to store and manage your code, and use tools such as Jupyter Notebook, R Markdown, or Google Colab to create notebooks that combine code, text, and visuals. You should also use comments, annotations, and documentation to explain your code and its logic.

6 Keep learning and improving

Creating and sharing interactive and dynamic visuals is a continuous learning and improvement process. You should always look for new ways to enhance your skills, knowledge, and creativity in data presentation. You should also keep track of the performance and impact of your visuals, such as how many views, clicks, or interactions they generate, and how they influence the actions or decisions of your audience. You can use tools such as Google Analytics, Mixpanel, or Hotjar to measure and analyze the behavior and feedback of your users, and use the insights to refine and optimize your visuals.

7 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?