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Here’s when to use data visualization tools and why they’re useful

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It doesn’t matter if you subscribe to the “right-brain” or “left-brain” camp, the human mind is drawn to shapes, colors, and aesthetic patterns. And that’s exactly where data visualization tools come in. Data and information visualization tools were designed to make data points easier to digest, to help draw conclusions and discern information that might not be as easy to digitize and use in its raw form.

Data visualization tools, such as Tableau or Google Charts, allow users to import small or large amounts of data and automatically transform raw data into beautifully designed visuals or charts. This not only makes it easier to process information internally, but can also provide a streamlined way to present data-driven theories or display KPIs in meetings and presentations.

So what exactly are data visualization tools and what do they bring to the table? Read on to better understand the role data visualization tools can play in the workplace and how using these tools can help make processing large amounts of information fast and efficient.

What are data visualization tools?

Data visualization and information visualization tools have been designed to allow designers to easily and efficiently work with large data sets and talk about them at the surface level. It can look like a clear representation of smaller data sets, but can also represent up to hundreds or millions of data points in a fast and easily scannable format.

The role of modern data visualization tools is to help automate the process of creating a visualization, which not only makes a designer’s job easier, but also helps to ensure that all data visualizations will be error-free. human errors and data entry errors. Data visualization tools help designers interact with larger datasets to easily draw conclusions or discern usable insights in ways that would not be possible with solid datasets alone.

Although many data visualization and information visualization tools can come with a steep learning curve, most designers agree that investing the time needed to learn these tools powerful not only makes it easier to conclude or discern information, but also guarantees a much more efficient workflow. with less risk of human error.

What are the best data visualization tools?

There are currently dozens of data and insight visualization tools on the market, ranging from basic and easy to grasp tools to more complex ones that may take some time to learn and work into your daily workflow.

The best data visualization tools should be easy to use (or come with a comprehensive tutorial), handle large amounts of data points, and be able to convert different subsets of data into several different output options, such as maps and charts or graphs.

Depending on the type of data you tend to work with and how much you expect to commit to learning and using the tools available, there are a few different data visualization tools and scripts that will stand out depending on your field and your specific daily activities. needs of the day.

One of the most popular data visualization tools among web designers – and anyone who wants to quantify data points – is Tableau, which offers free or paid options that make it easy to import data, with hundreds of data import options available. There is also a wide range of color-coded graphs and aesthetic charts that not only allow informed conclusions to be drawn from data points internally, but can also be used to convey information in high-level presentations and presentations. level.

Of course, there are plenty of other data visualization tools that might better serve deeper needs. Popular data visualization tools across the board include Infogram, Google Charts, Datawrapper, Grafana, and FusionCharts.

Why use data visualization tools?

Data visualization tools help cover three main elements when working with large data sets or complex information. Powerful data visualization tools will help you understand your audience, put in place a clear framework for interpreting data and drawing conclusions, and tell a visual story that might not come across as clear and concise with points of view. raw data.

Data visualization tools, when used correctly, will help tell a given story better and allow for better extraction of information, seeing patterns and drawing conclusions from large data sets. Data visualization tools also take a more aesthetic approach to mapping and tracking data. It goes beyond simply pasting information onto a pie chart and instead uses design know-how, color theory and other practices to ensure that information is presented in a way interesting but easy to understand.

Although data visualization tools have always been popular in the design space, the right data visualization tools can help just about any field of work or personal interest. For example, data visualization tools can help journalists and editors track new trends to better understand reader interest. These tools can also be used by anyone looking to track data points of personal interest to better understand the larger picture, such as tracking specific weather changes in their neighborhood or community.