Data Visualization Tools Used In Big Data

In Data Science field, data visualization process is undoubtedly a most important task and plays a very drastic role in the world of data science. In today’s world, data visualization task has become more prominent to aid top level business management people to serve knowledge of significance value of data. In some cases we have seen, many people don’t have a specific understanding of data visualization concept that how to implement it as per business prospective. A good use of large datasets is not always so easy and straightforward as it looks in first impression. Sometimes, collection of data is extremely in large scale that it is impossible to differentiate and take out useful insights from them. From here a discipline of data visualization comes into the field of data science.

Definition of Data Visualization:

Data visualization is a kind of technique used to communicate data or information by encoding it into visual objects like bars, charts, line charts, pivot tables etc, and encompasses designing and analysis of the visual representation of data. The primary objective of data visualization process is to communicate clear and efficient information to end users of any business organization. It is one of the main steps of data analysis or data science.

Data visualization is one of the most crucial skill sets that any data analyst or data scientist have to grab the mastery on it in order to process better results.

Necessity of Data Visualization:

The amount of data we gathering everyday through different sources that need to be enhance for organization’s growth. This process helps data scientists to efficiently deal with more complex data sets and to easily understand visual summary of data by identifying different patterns and trends, i.e. natural human skills.

 

Best Data Visualization Tools In 2020

The best tools can handle huge sets of data in fact; can even handle multiple sets of data in a single visualization and can output an array of different chart, graphs and map types.

A list of most popular data visualization tools is enlisted here:

  1. Tableau:

Tableau is a business intelligence tools that assists data analysts and scientists in visualizing and understanding their large data sets. It offers hundreds of data import options, from CSV files to Google Ads and Analytics data to Salesforce data. It is widely used by many organizations permits to design interactive graphs and charts in the form of dashboards and worksheets to obtain business visions. Tableau has a number of versions to offer, a desktop app, server & online version and a free public version. Its public version is free to use for anyone looking to create powerful and appealing data visualizations. Public version of tableau has an extensive array of infographics and visualizations created for those who are interested in creating their own.

  1. Power BI:

Power BI is an analytical and visualization tool developed by Microsoft for the purpose of data analysis, which allows you to connect to a wide variety of data sources, custom designed dashboards along with detailed reports making them easy to understand. It works on both mobile and web & offers real time updates of your reports directly on the dashboard. It can provide SaaS solution for easy report management & it helps to carry out data exploration task through its Natural Query Language feature.

  1. Jupyter:

Jupyter is an open source analytical tool enabling Big Data analysis, build open source tools, collaborative real time computing services across different programming languages.

  1. Google Charts:

Google chart is easy to use, powerful and interactive data visualization tool that works on web and mobile devices and provides the best solution for big data visualization queries. It is completely free and receives a big support from Google & it has a wide variety of charts graphs serving your customized needs and rendering of charts is completely based on HTML5 / SVG technology.

  1. Infogram:

Infogram is a web based data visualization and infographic tool which permits the creation and sharing of digital charts, infographics and maps, dashboards, comprehensive marketing reports and more. Infogram’s fully featured drag and drop service makes it easy to even non designers to create effective visualizations of data. Finalized data can be exported into a number of formats like PNG, JPG, GIF, PDF and HTML. Infogram also offers a feature of wordpress plugin to create embedded visualizations for wordpress users.

  1. Zoho Analytics:

Zoho Analytics is business intelligence based self service analytics platform facilitates the user to create insightful dashboards. Zoho consists of AI powered assistant that allows user to ask questions and get intelligent answers in the form of meaningful reports. It allows you to design intuitive dashboard designs and data reports.

  1. Sisense:

Sisense provides data driven decisions & instant insights of data to organizations allows building up visual dashboards that underlying uncover trends and patterns.

  1. Teammate Analytics:

Teammate analytics is a complete suite of more than 150 computer-aided audit and productivity tools especially designed for data science experts, business auditors and finance managers completely runs with excel sheet which has designed for intuitive tasks. It consists the features of relational display, analytics job, simulation models and filtered views.

  1. Dundas BI:

Dundas BI is a super interactive visualization tool that helps the user to understand data complexities in a better and faster way and grounded on responsive HTML 5 technology to connect, interact and analyze data from anywhere on any device. It features the smart tables, treemaps, data labels, data relationships & diagrams.

Conclusion:

In this blog post we have discussed and came across the best industry based data visualization tools. There is such a huge array of visualization tools available for data analysts which can be hard job to decide which one to use but it is recommended to spend some time on exploring best one before opting any tool.

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