Realize insights with data visualization
Visualization is the key to comprehending any piece of big data to make it look as easy to understand as possible. When giant sheets of data are converted into graphic formats, they not only reinforce major concepts, but also help in carving out better strategies for the future.
Visualization can take many forms:
- A chart that shows data in a graphical layout
- A tree or diagram that connects related concepts to each other across a much larger report
- A display of numerical data that illustrates details about how certain statistics have changed over time, or points to previously hidden trends
Visualization can make a difference. It helps make it easy for people to find the data they want. In fact, people often become more comfortable interacting with big data when seeing a visual representation instead of just reading massive database files.
It is not too difficult to create visualized data. Here are a few simple steps that outline possible setups:
- Open a file in your big data system that shows information in a large spreadsheet. This is typically the most common format that big data servers use when gathering information.
- Then, use your program to generate charts, graphs and other features that illustrate your captured data. Be extremely specific regarding the type of data you want to use, because some big data files might be too complicated to be immediately understood.
- Adjust the physical parameters of the visualization as you see fit. Make sure the data that is online is visible and easy to grasp.
- After you create the visualization, add new information to it as necessary. Optionally, you can revise your original database and have the visualized data automatically update itself if you have programmed it to do so.
- Format the data and import information from other files into your reports as needed.
This process shouldn’t take much time. There are various programs, including many common ones, that you can benefit from to help you manipulate your big data files quickly.
There is no limit on how much information you can use at this point. You are free to show as much data as you want to offer detailed explanations about any points you want to highlight. This will help boost your efforts to get more out of the data you want to share with other people.
Graphical charts, a tree or diagram, or a statistical display of data are the major ways to make data visual. Visualization makes it easy to comprehend big data and other trends using the five simple steps stated above. There are many different programs for you to manipulate your big data files, so the process requires little effort.
Interactive, rich data visualization tools will be among the many technologies on display at IBM Insight 2015, October 25-29 in Las Vegas, Nevada. Register for the conference today.