Stepping into the Understanding of Data Visualization in UX Design
UX Design Data Visualization is something that might be a new terminology in this modern web and application development. The term ‘data’ means collection of information and ‘visualization’ means representing the data in a lucid way for the viewers.
User experience (UX) designs are the prime space where users can witness the front end of any website. Moreover, using Data Visualization in UX design can beat major challenges. UX design Data visualization integrates data visualization elements such as charts, graphs, gauges, etc in the UX design. In simple words, Data visualization is a perception and demonstration of the data to its users. When it comes to UX design, it adds the advantage of presenting data effectively for the website viewers. Another benefit of having seamless data visualization in the UX design and development framework is that it evinces intuitiveness in demonstrating a large pool of data in an intelligible website interface. If you want to learn more about how these data visualizations can impact UX design from a wide angle, then you are at the right place. In this blog, we will be exploring the main ideology and concept of data visualization and how it is utilized in the UX design industry effectively.
Simplifying the Overview data visualization in the UX Design industry
Let’s deeply dive into a few types of UX design data visualization examples, bar charts are one of the visualization types which is often used to compare more than two data values. The major advantage of this visualization is, that users can easily compare multiple data values in a single sight. Similar to Bar Charts, we have Line Charts which concise multiple data values in a clear line-formatted representation.
The users can compare the fluctuations of the data using line charts.
Scatter Points are two-dimensional ways of representing two data variables, where, one data variable is assigned along the x-axis and another data variable is assigned along the y-axis. Another commonly used type is maps, here the geographical data is present efficiently. We have population pyramids to demonstrate the gender and age distribution of an individual.
Moreover, pie charts are another type of visualization which is in the form of circles, and the differentiation in the data is demonstrated by dividing the circles. Also, gauges are similar to pie charts, but this type of visualization only focuses on single metrics. Kagi charts are used mainly in stock market analysis which exhibits the data of price trends and reversals. On the other hand, the Candlestick chart is also majorly used in stock market analysis to show price movements over time differences.
These data visualization types not only impact website display, they also have their pitch in the top trending technologies like data science, machine learning, artificial intelligence, and much more. The basic ideology behind these data visualization types is to give a straightforward representation of data to the viewers. These representations focus on giving innovative insights to creators to excel in their expertise. These data visualizations are utilized in different market spaces to gain clarity and popularity.
Questing about why Data Visualization is Important in the UX design industry
The importance of data visualization in the UX design industry is to elevate the comprehensive representation of the data and overcome the challenges of a UX design that needs to display a large volume of data. The major challenge in a UX design is, that users often find it difficult to understand large amounts of information in a single website frame. Using the UX data visualization types, we can easily 
present the data which gives a clear overview of the data to our viewer.
However, selecting a suitable UX data visualization type can fix this problem. If the website has a clear representation of the needed information, then definitely engagement will not be a big deal. Data Visualization will break down the communication barriers to boost the flow of insights in terms of representation.
Moreover, clear representation has a high chances of acquiring high engagement. If the representation of the information is lucid, the insights are more transparent for the viewers. These factors are directly related to the high engagement in a website. These UX design Data Visualization techniques are not only beneficial for the viewers, they are more effective for the creators too, in terms of decision-making. The decision-making process can save more time and cost for the creators. These factors primarily focus on the areas where a business can enhance its areas of growth. Adapting to the standard visualization practices can always lead to greater insight evolution.
Exploring the Top Data Visualization Tools in the Industry Sector
Data Visualization tools play an important role in markets that are dependent on large data. Many tools are emerging often to enable designers and developers to utilize the benefits of data visualization. Now, we can discuss a few popular tools in the market. Tableau is at the zenith of Data Visualization in the modern tech era. It is highly popular because of its compatible data representation options. It is easy and efficient to implement. PowerBI is the ultimate tool to dive into a large pool of data.
Its integrated services like MySQL, HADOOP, Amazon AWS, SAP, etc created an irreplaceable option for data scientists and data engineers or anyone working with datasets, generating insights and managing data effectively. DundasBI is an amazing tool for working with large datasets with an amazing customizable experience.
It has exciting options to extract, modify, and display large datasets. Google chart is the most commonly used Data visualization tool where data can be integrated easily with attractive Data visualization types. Another major feature is, that it can be easily collaborated with other Google tools. By implementing these data visualization tools a company can always have a hold on a constructive feedback loop. The business finds solutions in the existing plans and plans for future enhancements. This leads to transparency in the team and the ability to work on the path of success. Here, data visualization becomes the root of ideation and execution.
Insights about Data Visualization in UX Design with Pattem Digital
Summarizing the blog, we have seen the outline, importance of data visualization in the UX design industry, and UX design services and we have also discussed the top-rated data visualization tools conquering the market. These tools reshape the traditional data presentation practices and accelerate the engagement insights of the websites. Data visualization is not only a practice of effective demonstration of data, it is also a practice of comprehensive insight display to push greater engagement in any website.
Now let’s talk about the leading UI/UX development company, Pattem Digital. We are a team of jubilant designers and developers working on various aspects to satisfy our clients with top technologies. We are focused on customizing the website with all the latest technical perks to meet the requirements of the website viewers. We have captivating interface designs that include top data visualization presentations and we can also integrate add-on tools like HADOOP, Amazon AWS, SAP, and much more.
