Experts have time and again professed that an individual has a better grasp of information and has a greater capacity to retain it when that data is interpreted visually rather than in stock format- like tabular format or in written words.
In the last decade, data visualization has gained momentum. It helps customers understand various correlations and trends that might go unnoticed otherwise. Workers too have a better understanding of the data, gives an organisation a performance boost.
Initially data visualization was limited to MS Excel but with humungous leaps that the industry has gained on the front of Business Intelligence and big data analytics, newer and better tools and techniques have come to the aide of analysts. With a boom in the big data trend, data visualization was the best method to gather overview of such huge quantities of information.
Today, curriculum on BI and big data analytics have data visualization course involved, so that candidates are better prepared for their potential employers.
What determines the choice for a particular data visualization tool?
When representing particular data it is imperative to choose the right tool. This is determined by the following factors that analysts keep in mind:
- Who is the data being represented to- Audience profile is an extremely important factor to be kept in mind and helps in choosing the particular data visualization technique.
- The data being represented- the method of representation is directly related to the data that is being represented.
- Purpose- whether it is to inform the end users about a particular product or investment or provide insights to researchers and analysts to assist them in furthering their work.
Tools that are used extensively
If you are analyst looking to diverge into some other field, then you can opt for a data visualization course. Those who have a knack for art and analytics can flourish in this field.
If you are looking to make a foray in data visualization or work in the field of big data, then the tools that you should be comfortable with are:
- Tableau- it is the biggest data visualization tool that is used by most organisations and has advanced features that allow you to create advanced graphics.
- Plotly- it is one of the most easy to implement tool that is available in the market and hence its popularity is high, allowing users to create advanced visualization in minutes.
- RAW- it is compatible with a number of software like Adobe Illustrator, Sketch and Inkspace, allowing easy graphical interpretation of big data.
- D3.js- it has an extensive library and is open source software and allows real time interaction. It has ease of usage as it runs of Java and can be used in HTML format.
- Infogram- it allows real time linking with big data and has a huge array of templates that can be personalised according to the requirement.