Category: Design

Wojciech Gąciarz

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Chatbots have become an everydayness for Internet users therefore conversational platforms creators need to make their products easy to manage and more effective. DRUID – one of the fastest-growing AI companies, decided to team up and entrust this challenge to Synergy Codes – a leader in interactive data visualization. Have a look at the
How to avoid ten common mistakes in data visualization?

How to avoid ten common mistakes in data visualization?

John W. Tukey, the founding member of Princeton’s statistics department and the author of the software term,  once said that if you torture the data long enough, it will tell you anything. His work of life was to take boring, flat data and bring it to life through visualization. However, he was aware of the misconstructed data. It leads to publishing misleading visualization, which results in the audience’s mistrust. Let’s check then what design factors make visualizations stand out? How can designers convey the meaning of data with desired clarity? Read the article to find out.   How do we perceive data?  Data visualization focuses on human sight, and cognition is the most incredible natural phenomenon. Human brains work in such a way as to catch the most critical…

Paulina Kondratowicz

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10 Rules to Make Your Charts & Diagrams Stand Out

10 Rules to Make Your Charts & Diagrams Stand Out

Charts and graphs have become a staple in many areas of our day-to-day activity. From business reports to television to sports and games, they serve to present often complex data in an easily digestible form. The way you create these graphic representations of information will be affected by their exact purpose and the medium they’ll appear on. You’ll have to account for various factors in order to develop a useful chart. Stay with me to learn how to make a good graph that actually makes an impact. A badly designed chart can not only be an eyesore, but also lead to imprecise or incorrect conclusions. Regardless of what exactly you’re aiming…

Synergy Codes

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Data-driven UX – how it can improve creating data vis apps

Data-driven UX – how it can improve creating data vis apps

When designing data visualization, as designers we need to understand the users’ intentions for interacting with our product and what answers to their questions they are trying to find. Typically, during the design process, user flow consists of a series of steps, which they usually finish with an action, such as buying a product, starting an operation, etc. The goal in this case is concrete and clearly defined. However, it is not all cracked up to be when the goal itself is not just to reach desired data but its exploration and analysis, during which a user can perform several actions. Let’s start with what is

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Working with Web Designer. Development phase

Working with Web Designer. Development phase

Web Designer work in the project doesn’t end with creating the mockup of the client’s future application. When the cooperation starts, this person is still needed to make the idea from mockup real. Let us show you how web designer actions influence look and feel and bring the value to the project. We have already written about the importance of the good mockup, which shows how the application we would develop may look and work. Once it’s ready, we present it to the potential client. We apply their changes in the project, if needed, and when the company is satisfied with the prototype – we start the development phase.

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