Graphical depiction of information and data is known as data visualization. Data visualization tools make it easy to examine and comprehend trends, outliers, and patterns in data by employing visual elements like charts, graphs, and maps. These tools and technologies are critical in the Big Data environment to analyze enormous volumes of data and make data-driven decisions. It is a practical and straightforward approach to conveying information to a broad audience using visual data. This practice can also assist businesses in determining which factors influence customer behavior, identifying areas that need to be improved or given more attention, making data more memorable for stakeholders, and forecasting sales volumes.
Effective data visualization is the decisive step in data analysis; key insights and messages are lost without it. While it is easy to make fun of erroneous or misleading charts, they can have dire consequences. Bad data visualizations cause audiences to misinterpret the true data, leading to poor business decisions. As a result, it is critical to always keep the best practices in mind when creating visualizations.
There a mainly 6 best practices for data visualization, they are:
- Knowing the Audience
- Using the right type of chart
- Choosing the layout carefully
- Adding comparison values
- Being careful with colors
- Being consistent with labeling and data formatting
- Being careful with colors: This is one of the most significant best practices for dashboard design. When it comes to color, there is an option of staying true to the company’s identity, for example- the same colors, logo, or fonts. Experimenting can also be done with a completely alternative palette. The crucial thing is to keep things consistent and avoid using too many distinct colors. One can explore with gradients after selecting two to three colors. Most colors should always be toned down. Across all charts, we should utilize the same color for matching items. As a result, consumers’ amount of mental work is reduced, making dashboards more understandable. There are multiple color types that can be used to convey specific information through visuals.
- Sequential Colors
- Divergent Colors
- Categorical Colors
Sequential color is used to show the scale. They are also a wonderful technique to make the dashboard look more attractive. A simple gradient may refresh a design, emphasize components, and give an otherwise flat image the feeling of depth.
Divergent Colors pair sequential schemes based on two different hues so that they diverge from a shared light color, for the critical midpoint, toward dark colors of different shades at each extreme.
Categorical colors help users map non-numeric meaning to objects in a visualization. These are designed to be visually distinct from one another.