What is Visualizations?
Visualizations are graphical depictions of data used for analytical purposes. The goal of any visualization is accuracy, ease of use, and the presentation of information in a digestible format.
Traditionally, visualizations were static and that once worked for businesses to provide information. However, in the fast moving modern world, agility is required for businesses to make quick decisions and react to the changing marketplace. Interactive visualizations fill this gap by ensuring you can quickly generate visualizations and explore your data in many ways (e.g., slice and dice) to answer business questions without a high-level data scientist.
It is important to note that visualizations are a powerful statistical tool that comes with many implications. Using visualizations should come with careful consideration of how the data is represented. Visualizations may often distort the truth in data in many ways such as the scales applied, the size of the visualization, etc. This can cause you to perceive a pattern or trend as more significant than it really is.
Visual analytics provides interactive visualizations for users to discover insights. Interactive visualizations allow you to drill down into data to reach more detailed levels, filter parts of the data to investigate a segment and many more features:
- Changing visualization format on the go. This allows you to navigate data through different formats such as tables or pie charts to view the data in any perspective on demand.
- Drill-down features allow you to navigate summary information to any specified level (e.g., sales by country to sales by region) to answer specific business questions.
- “What-if” analysis with features such as cascading parameters, sort functions, filters and sliders. This allows you to segment parts of data, apply conditional functions to expand, collapse or group information for multiple points of views.
- Geo analysis provides interactive geographic based visualizations with customized overlays and markers for detailed map information. Conditional properties can be adjusted for shape, size, color and labels on maps.
- Animated visualizations to view historical data in a timeline. You can watch your data move to analyze trends and identify patterns.