5 Effective Data Visualization Techniques to Start Using Now for the Data-Driven Organisation

Interpreting innumerable amounts of raw data can be tough unless it is transformed into meaningful charts or tables. There are plenty of options available when it comes to choosing a viable data visualization technique, although it can be overly confusing. In this blog, we will help you pick the best data visualization technique.

Five effective data visualization techniques:

Bar Charts:

A bar graph is used to show a comparison between different items. A standard bar uses either horizontal or vertical bars to represent data. A bar graph is used to avoid confusion when there are more than ten items to compare. Bar charts are used to display individual data based on certain values only. They are effectively used to compare values of different categories, compare parts of a whole, show change over time, etc.

Scattered 3D Plot:

Scattered 3D plot depicts the distribution of different objects in a three-dimensional manner. It is essentially used to establish a relationship and mutual impact between specific elements. A scattered plot is also applied to indicate how one variable affects another. The difference between different variables in a scattered plot is called a co-relation because all the elements are closely connected to one another.

Network Diagram:

Network diagram is an effective tool for finding out connections and co-relations between different units. It highlights and bridges the gaps with the help of nodes and the linked lines illustrate the relationship between different entities. The primary function of a network diagram is determining the relationship between different nodes that are clustered together.

Tree Map:

Tree maps are used to exhibit large amounts of hierarchically organized data that are enclosed in rectangular blocks. Typically, the size of each block represents quantities for each category. Each block of the category is further divided into subcategories. The primary functions of a treemap are comparing between different elements, hierarchically structuring data, forming proportions, etc.

Pie Chart:

Pie chart is one of the most popularly used data visualization techniques. Pie charts display percentages of data between different groups by dividing a circle into proportional segments. Each segment represents a part of each category, whereas the whole circle indicates the total sum of the data.