What should you showcase in your data visualization portfolio?

To create an impactful data visualization portfolio, consider including a diverse range of projects that showcase your versatility as a data professional. Highlight real-world examples that emphasize skills in data manipulation, analytics, and visualization to demonstrate practical applications of your expertise. When building your portfolio, pay attention to the platform and projects you choose, describing them effectively to provide context and relevance. Additionally, focus on creating visually appealing and interactive visualizations with clean and professional design elements to make your portfolio stand out. Lastly, emphasize the impact and results of your visualizations, showcasing their significance in conveying insights.

To better Understanding/ Remember and Proof Authentication The well-known proverb "A picture speaks louder than a thousand words" To improve comprehension, facilitate rapid visualization or memorization, and validate based on importance.

Data visualisation portfolio has go be more than just visual. Surely powerful visuals can help narrate a powerful story but a bunch of visuals on a screen do not accomplish that. It is important to be able to pick up insights from those visualisations and the more intuitive it is for someone to get those insights by looking at the visualisation, the better. Impactful data storytellers rely on simpler, impactful and effective in relaying the findings from data. Almost always being able to connect data to business impact would be more valuable than just groovy visuals. Having domain expertise in an industry can provide a very strong base to add data visualisation projects relevant to that industry and create a compelling story through data.

When building a data visualization portfolio, it is important to pay attention to your design's details. Data visualization is more than just showcasing fancy visuals. Are your visuals saying something meaningful? Are your labels, titles, and other texts in sync with your visuals? Your portfolio should be able to tell the audience that you're an intentional person. As a data visualization expert, you should be able to convey your message clearly to your audience. This is one thing that you should keep in mind. Before you include a visualization in your portfolio, ask yourself "how would my audience view this?". You probably might not get the answer yourself, so please reach out to your networks in same field and see from their perspective.

For designing an effective data visualisation asset, I use the following principles: -> reducing cognitive load for the user by being conscious about the visuals on the screen/page -> using the right charts to relay the right kind of information. -> don’t use two different scales in a chart, that only adds confusion and impacts transparency. -> Clear use of legends with easy to read fonts to add to user experience. -> use of accessible and inclusive colors -> understanding the data savviness of your audience is another important factor. Co creating the solution with them can help with the adoption of your data viz product. -> Absolutely no pie charts. They are extremely hard to interpret and are non intuitive.