Aug 30, 2020
Why Data Visualization??
“Data is the new oil? No, data is the new soil.” — David McCandless
As per the MIT source, 90% of the information transmitted to our human brain is visual. The human brain can process visuals 60000 times faster than they do to text. Other source Kissmetrics also propose that High-quality Infographics are 30x more likely to be read then compare to text.
Now let’s understand What is Data Visualization is simpler terms.
Data visualization is the process of translating data or information into a visual context such as a Map or Graph to compose data effortlessly for the human brain to understand and pull out interesting insights from it.
The main goal behind Data visualization is to make it easier to identify patterns, trends, and outliers from the data. Common Data Visualization use cases are Sales and Marketing, Politics, Healthcare, Scientists, Finance, Logistics, Data Science, and researchers.
Why Data Visualization is important?
It provides a quick and effective way to communicate information in a universal manner using Visual information. In business, it can also help businesses to identify which factors will affect customer’s behavior, pinpoint to the areas which need to be improved or need more attention, make data more memorable for Stakeholders, helps to decide when and where to place specific products and predict sales volumes for business.
Benefits of Data Visualization:
Ability to absorb information quickly, improve insights, make faster decisions, increased understanding of next steps that must be taken to improve the organization, improved ability to maintain the audience’s interest with information, easy distribution of information that increases the opportunity to share insights with everyone involved.
Tools for Data Visualization:
Data visualization tools provide Data visualization designers with an easier way to create visual representations of large datasets. Commonly used tools for Data Visualization are Tableau, Power BI, Infogram, Chartblocks, Google charts, Fusion Charts, Qlikview, Grafana, etc. But generally, Industries are using Tableau and Power BI more.
Tech in 3 has prepared a quick comparison between both popular tools.
Power BI vs Tableau
Types of Graphs:
For a visual representation of our data, we have various types of graphs that can be used for our representation purpose. There are Line, Bar, Pie, Histogram, Scatter, Flow, etc. and a bunch of. Specific Charts from the above list can be used for specific purposes. As we all are aware of that common charts but here I will discuss what is Sunburst Chart?
Sunburst Chart:
The Sunburst chart is known by various names like Ring chart, multi-level pie chart, and Radial Treemap which can be useful for visualizing hierarchical data structures. A Sunburst Chart consists of an inner circle surrounded by rings of deeper hierarchy levels. The angle of each segment is either proportional to a value or divided equally under its parent node.
All segments in Sunburst Charts may be colored according to which category or hierarchy level they belong to.
Graphical elegance is often found in the simplicity of design and complexity of data.
So we can say that data visualization is important.
