Data VisualizationInsights & Tutorials

The Power of Data Visualization with Generative AI

In today’s data-driven world, the ability to effectively communicate insights and tell compelling stories with data is more important than ever. Data visualization plays a crucial role in this process, allowing us to transform complex data sets into visual representations that are easy to understand and interpret. And now, with the advent of generative AI, data visualization has become even more powerful.

What are Data Dashboards?

Data visualization is an art of storytelling by combining fancy visualization tools with the analyzed summary of the data. Actually, this story becomes valuable only if you have the audience to listen and react. From this point of view, data dashboards can be considered the most engaging and interactive data visualization tool that offers various types of data analysis in an up-to-date way.

Data Visualization in Decision Making Tools

Research shows that we can only retain 10% of what we hear, and merely 20% of what we read. In addition, we can retain up to 80% of the data which we see. When data is concerned to be utilized in decision-making insights, that is why data visualization is considered the best approach. It helps in demonstrating the data. By default, human beings are visual creatures. Visual content can ignite our cognitive processes more vigorously as compared to plain text and audio notes. Furthermore, studies also reveal that almost 90% of the data being perceived by the human brain is visual in its nature.

The Role of Data Visualization in Data Democratization

Data visualization has changed the way brands and businesses used to present information. While data democratization has further evolved the techniques of approaching data. Data democratization is referred to as giving barrier-free access to large-scale data. It makes digital information easily accessible to all users without requiring any prior technical knowledge of data analytics. Democratization of data has reduced the dependence on technical data analytic experts. It has enabled ordinary users of information systems to analyze and gather information at their fingertips without any outside assistance. Getting inferences from data visualizations has become easier for an average non-technical user through the democratization of data. Which helps in effective decision formulations.

Best Practices for Information Visualization on Data/Admin Dashboards

Data dashboards are very effective for information visualization. At its simplest, dashboards are application screens that show data in a powerful and unique way. Data visualization techniques are implied for the relevant display of actionable data. Dashboards are designed to present data in a quick, intelligent, user-friendly, and easy-to-scan way so that the most relevant Key Performance Indicators (KPIs) can be tracked at a glance. In general, dashboards offer a global overview of the performance indicators, in addition, giving the users with access to the appropriate control, relevant data, and most important information and functions.

Effective Visual Communication of Data using Digital Dashboards

Visual communication of data is the art of extracting useful, effective, and efficient information by graphically representing raw data. It is not only limited to the graphical representation only. Any form of data visualization like graphs, charts, colorful patterns, pie, bar, maps, treemapping, histograms, line bars, columns, and X – Y scattering of data can be referred to as visualization of data in a useful way for communication of meaningful information. Simply, there are so many categories of visual communications including motion graphics, infographics, and other interactive forms of content.

Top 7 Data Visualization Softwares and Suggested Courses

We have written plenty about data visualization previously, and if you haven’t gone through all the key points already, then we suggest you take out a few minutes to read: Getting Started to Data Visualization.

Data Visualization with Python

In today’s era of modern technology, graphics have become the pinnacle of communication. Be it transmitting devices or marketing commercials, business websites, or online tutorials, everything has to be portrayed graphically for optimal satisfaction. Therefore, it comes as no surprise that data visualization has become the primary source for grabbing public attention.

Data Table Insights

Interactive Data Visualization

In this post, we will cover interactive data visualization and its benefits mostly. To give you the outline, the definition of interactivity and its effects on visualization, tips to create samples, and the points that you can take advantage of this technique will be described below.

Best Data Visualization Books

Reading a data visualization book teaches you a lot about the internals. But since reading a book and processing it takes so much time, we mostly want to pick the best book out there. At this point, you have to accept that there is no best data visualization book for everyone because it is subjective.

Maximizing The Impact of Data Visualisation

Maximizing the impact of your data visualisation is a process that you should start with basics. Once you have a chart with default settings, you can simply add value to your visual. Each addition would light another bulb in your mind. Keep this process until you are satisfied and before the visual is getting too complex. It is not a good idea to keep pushing all the information. So, it is better to be focused on a piece of specific information.

Visualizing Big Data

Qualitative Data; Definition, Examples, Analysis, and Visualization

Best Ways to Visualize Time Series Data

A time series is a data collection ordered in time sequentially. So, the type or the domain of data is irrelevant for the name of this series. However, if you are working with time-related data, there are several options to visualize it. In this post, we will be talking about the most common use cases of time series.

Frequently Asked Questions about Data Visualization

What is data visualization?

Data visualization is about emphasizing the valuable information from a dataset by using visual representation tools. Charts, graphs, maps, and even simply colored texts are tools to visualize data for highlighting patterns, similarities, differences, and outliers in a set of raw data.

Infographics vs Charts

If you are researching data visualization, you probably come across with the keywords infographics and charts. And, you might think they would be the same concept for the visualization of data. But they are way more different and in this article, we are talking about their meanings and differences.

Getting Started to Data Visualization

Visualization is mostly about knowing your data set with details. Better data visualization comes with domain expertise. Without digesting relations and boundaries of the data set, and focusing on what you want to show, knowing all the data visualization tools won’t help you.