The Best Data Visualization Tools and Platforms for You

Reviewing large amounts of data can be overwhelming. And the more data there is to read, the harder it can be to comb through it.. Enter data visualization tools! Data visualization tools can be very useful.

When data is converted from its original format to a visual guide, the human brain is better able to understand what it sees. Ideally, a good data visualization tool is clear, simple, and aesthetically pleasing.

Misleading Data Visualization Examples to Stay Away From

Data visualization is an essential tool for analyzing and communicating complex data material. You must be careful though. When done in the wrong way it will distort or misrepresent the information.

Sad to say, some use data visualization to misrepresent data on purpose. They have an agenda or want to promote their own opinion. Other misleading data visualizations are the result of mistakes or a lack of understanding of how to present data. The design may be beautiful and appealing but unsuitable for clear communication of the information.

Impressive Data Visualization Examples to Look At

The human brain is better able to identify and interpret ideas through images than through abstract words. This is what makes data visualization such a powerful and elegant concept. Humans can grasp an idea or identify patterns and trends with well-designed data visualizations.

Data visualization examples help us make sense of large datasets and, ultimately, the world around us by:

  • transmitting findings in a simple way
  • encountering new understanding on a topic
  • diving straight into a subject analysis

Data captivates us! It can spark something in our minds and inform our lives. To keep you captivated, take a look at this list of the best data visualization examples.

Data Visualization Best Practices You Need To Know

Data visualization is a great way to communicate data and content in an easy-to-understand way. Using data visualization, you can represent data with line charts, line graphs, bar charts, pie charts, scatter plots or maps.

When you visually represent data, it’s easier to understand and analyze. It also makes decision making easier, as well as understanding difficult concepts. Graphic designers must follow data visualization best practices so that they can present their data in the best ways possible. This can be necessary when working with huge data sets that are often complicated and incoherent.

This article outlines the top 14 best data visualization practices so that you can create even better charts and graphs.

Great Data Visualization Color Palette Examples to Use

The color palettes that users choose for a website or a brand are very important. Usually, this decision is made lightly, but this is a mistake.

Colors convey emotions and give a distinctive look to a brand. It turns out that colors are important to such an extent that they have a direct influence on purchase patterns.

Data visualization is not the exception. Some may spend hours on technical tasks, analysis, and preparing results only to struggle with how they look on the charts.

If you want your charts to be perfectly understandable, you must find the right combination of aesthetics and information. The proper color palettes can help convey the right message through graphics. However, a poor choice of color can conceal the necessary data and create confusion.