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Pranav Vispute

Aug 02 · 5 min read

Understanding Data Visualization

Images have the power to transcend language barriers. They can convey complex ideas to the masses, and we know this because we’ve seen them in ancient civilizations in the form of hieroglyphics and medieval paintings.

Though technology has made communication somewhat “easier,” being able to translate numbers or business data can be difficult without a visual representation. This is why data visualization has become so vital in recent years.

There are many reasons why visual information is easily captured and processed by the brain much faster than data in a text format. Visualization works to produce attractive visuals of data because we respond to and process visual data better than any other data type.

In fact, the human brain processes an image 60,000 times faster than text, and 90 percent of data transmitted to the brain is in the visual form. Since we are visual by nature, we can use this skill to enhance data processing and organizational effectiveness.

Understanding Visualization

Here are some real-life examples for you to better understand data visualization.

You know about Driving speed, RPM, Gear shifts, Distance traveled, Fuel indication, Warning indications, etc., by using different visuals like Gauge indicators, Bars, Symbols, etc.

Similarly, Google Maps, Stock Market, Medical equipment (i.e., ECG, Thermometer, etc.), and Weather forecast also uses visualization to indicate data that the user can easily understand.

However, nowadays, data visualization is primarily used in the business world to quickly understand business data and make strategic decisions. Data is increasingly essential to all businesses. It is such a big part of our everyday lives that it makes sense that companies with solid Data Analysis, Data Science, Big Data, and Data Engineering talent would feel the need to improve their data visualization capabilities.

When Data visualization is considered just a skill, it’s usually less important than modeling and analysis for professionals. But we’re now seeing an acknowledgment that if you don’t have good data visualization, then your insights are less apparent, resonate less with audiences, and are harder to communicate among people.

No matter which type of data visualization you choose to use to showcase specific patterns and trends, it should have three main elements:

  • Clean data that is accurate and well-sourced.
  • Design elements that showcase the data visually.
  • Ability to share with your specific audience.

When all three come together, a visual masterpiece of data is created.

Importance Of Data Visualization

For companies with larger data sets from multiple sources, it may be helpful to consider data visualization software. Instead of inputting data yourself or linking multiple spreadsheets, these tools automate the entire data collection and visualization process with many more charts and graphics options.

Most data visualization tools will integrate with other software in your tech stack. For example, you can have your CRM and marketing automation metrics visualized in a single space instead of having to bounce between tools. Overall, it’s more efficient.

Another advantage of these tools? Real-time updating.

Spreadsheets may be a free option for simple Data visualization, but the data is often retrospective and won’t provide a clear picture of what to expect next. If a company relies on real-time data, having a tool that provides these insights on both mobile and desktop can be a huge plus.

Whether data visualization is used to show changes over time, display correlations between relationships, or determine complex metrics, it is often the most effective way to get the point across.

Tools for Data Visualization:

Following are some tools for implementing data visualizations:

Power BI

Power BI from Microsoft is probably the most trending and popular data visualization tool in the market. It is the leading data visualization tool used for business intelligence types of data.

Tableau

Tableau is a type of data visualization tool used to create interactive graphs, maps, and charts. It enables you to connect to different data sources and construct visualizations within minutes.

Google Charts

Google Charts is an interactive data visualization tool that creates graphical charts from user-supplied information. Google Charts delivers a perfect way to visualize data on your website.

QlikView

QlikView is yet another data visualization tool that allows users to make faster data-driven decisions by accelerating analytics, revealing new business insights, and increasing the accuracy of results.

Pranav Vispute

500 Followers

Developer, Kockpit Analytics. ❤️ Stats, Power BI, MSSQL, decision science. All views are my own. twitter.com/quaesita

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