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Which Data Visual Should I Go For?

The answer lies with knowing what your needs are, what your skill level is, and what end result are you looking to achieve. Knowledge of data visualization tools come in handy when web development companies and individual developers require the presentation of data on the website. Once a general idea has been formed that determines the answer of these three questions, the right tool can be selected. Below are data visualization tools that are grouped either by skill level or special parameters of visualization. Those listed below have been awarded as top data visualization tools as deemed by web development practitioners.

Entry level

Excel. Excel is more than capable of managing and presenting data and is such the
most commonly used tool. It allows for both simple and complex data exploration and internal-use visualization creation. It is limited as well for it cannot create graphics that could be integrated in professional publications or websites.

Online Visualizations

Google Chart API, Flot, Raphaël, D3 (Data-Driven Documents), and involve JavaScript knowhow. These libraries store many styles and types of data visualization formats such as graphs and charts. Each one caters to different needs depending on how complex the visualization is estimated to be.

Interactive GUI Controls

The tools listed here are also JavaScript based libraries that allow the user to perform call back functions. Crossfilter allows charts and graphs to double as GUI widgets. Tangle is ideal when equations and formulas are being manipulated.


Modest Maps, CartoDB, Kartograph, OpenLayers, and Polymaps are mapping libraries that meet the need of creating a map for visualization purposes. Their differences lie in complexity and detail as well, but are all capable of data management and manipulation.

Professional level

NodeBox, Weka, R, and Gephi are not user friendly and need a degree of expertise to use. These are called to act when data visualization need to be complex and detailed. They cater to a higher level of user-tool interaction and allows for easy data manipulation and sorting. They are also capable of crunching larger data set and present real-time results when data is provided.

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