MockFlow is a powerful and user-friendly tool for wireframing, enabling you to easily visualize your ideas and take them from low to high fidelity with zero learning curve. The intuitive editor simplifies the design process, and the extensive collection of UI packs and templates available in the MockStore provides a quick and easy way to kickstart your work.
MockFlow doesn't just stop at wireframing, however. It offers a comprehensive end-to-end solution for the entire product design process, streamlining the workflow from conception to delivery. With additional inbuilt tools available, you can create site maps, build user profiles with User Persona, and define brand guidelines with Style Guides, all in one place.
MockFlow's Design Space allows you to centralize all your design assets in one place, making collaboration with colleagues and stakeholders easy and efficient. In addition, the seamless integration capabilities enable you to effortlessly embed design files from other web applications within your Design Space, making the integration of existing design assets a breeze.
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Based on our record, The Data Visualisation Catalogue seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I contstantly refer to this data viz dictionary that explains the best viz to use for a ton of problems. https://datavizcatalogue.com/. Source: about 1 year ago
Learn the various chart types and their best application: https://datavizcatalogue.com/. Source: almost 2 years ago
Because you are building unnecessary visual complexity. I recommend you take a gander at ink ratio and visualization types like this that are very easy to follow. Source: about 2 years ago
Resources I use a lot: - https://datavizcatalogue.com - http://vita.had.co.nz/papers/layered-grammar.html - http://www.visual-literacy.org/periodic_table/periodic_table.html - https://www.anychart.com/chartopedia/. Source: about 2 years ago
A quick Google on "data visualisation" brings up several sites that provide the info you're looking for. To help get you started, here's one from the first few results from that Google search: https://datavizcatalogue.com/. Source: over 2 years ago
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