Data Visualization is a clear platform of extracted data information. We can process in a graphical or chart format. It visualizes the context like graphs, patterns, correlation, and trends. Due to these contexts data will easily recognize by using the DV tools. Data maintains a visual report for the following. They are,
- Better performance.
Therefore, DV plays an important role in big data analytics. This is because it really helps in mining the big amount of data. This will be in a quick manner.
Why Data Visualization?
Data visualization contains a visualize report. This will be for the final data. Then, it lets you interact as well as familiar with the data. DV tools go beyond data mining, data analysis, graphs, and standard charts. It can absorb the data. This will be in a quick format. Also, it will allow the users to make the fast & quick decision.
It also plays a vital role in modern data analytics and advanced big data projects. Because at the end of the financial year for a company. They needed sorting of the data. Here, DV tool helps to transform the big data into the data charts. This is for understanding the data very easily.
It has achieved a dominant position for newly BI tools. There are so many data visualization tools. But Google Charts and Tableau are the successful leading vendors. Especially for the business intelligence.
Importance of Data Visualization:
If you are keeping a record of data, you are most likely to use it. This will be very useful in your decision making. You should be able to effectively utilize information lying. This will be in a large volume of data to its full potential.
Data Visualization tools represent data in a visual form. So that, you can make sense of it faster and within shorter time frames. Thereby it will increase your productivity. These tools also aid in analysis as well as the decision making. This is possible by bringing out the hidden trends as well as the correlations. That may miss in the layers of spreadsheets as well as reports.
There is a range of data tools. It is very difficult to pick the best. This is because each one performs the things differently.
Here we are looking the best 10 of them. Also, we will discuss which one best fit your needs. They are as follows.
- Qlik Sense and QlikView.
ChartBlocks is an easy-to-use online chart building tool. Its salient feature is that you can import data. This is not only from spreadsheets as well as the databases but from live feeds too. The chart building wizard helps you pick the right data. This is for your chart, choose from hundreds of customization options. It is to create the charts that suit your requirements.
‘Embed wizard’ converts raw data into responsive visuals. That can be rendered to multiple devices as well as screen sizes. You can embed charts on websites or share the results on social media sites. All this is possible with the need to code at any level. Pricing starts from a free Basic plan to an Elite plan. This may cost $65 per month.
DataWrapper too doesn’t require any coding. It is a user-friendly app. That largely targets media organizations. You can simply copy-paste your spreadsheet data, upload CSV, PDF files. This is even provided the links to data sourced for live charts.
There are many chart and map options to choose. This is from which can customize or annotated. Also, they are mobile responsive. The chart designs can be customized to seamlessly integrate with your brand. You can embed your chart on your website or print an image or PDF version. The cost of DataWrapper depends on the kind of functionality you need. You can start from the Trial to Enterprise versions.
They offer over 90 charts and 1000+ maps. They are customizable as well as extensive event. This handling can control how your charts behave under different scenarios. This is like data loading, chart rendering etc. For pricing and plans, have a look here.
HighCharts offers quick and simple visualization. They also offer other products. This is which you can create interactive charts, timeline charts, maps and online charts. It is a free tool for non-commercial purposes. You don’t need much of training to start using it. It offers cross-browser support i.e. anyone can view and run its interactive visualizations. The downside will limit possibilities to customize your charts.
Though priced a little on the higher side, Infogram can process information. This will be in the real time. It will provide variety of templates. This is to create infographics, dashboards, charts, images, videos, maps and much more. The platform has an intuitive drag as well as drop editor. This will let you choose styles and eases data import functions. The charts are interactive as well as it can be easily embeddable.
Klipfolio has plenty of visualization types. You can forge your own by using HTML and CSS. Instead of a drag and drop functionality, users must implement computations. This is possible by using functions as well as formulas. It supports multiple file formats. This will be like XSL, CSV, JSON, XML. Also, this can integrate multiple data sources in a single report. This tool provides a self-serving KPI editing platform. Along with a free trial plan, pricing starts at $29 pm besides other customizable plans.
Plotly can integrate with the analytics-oriented programming languages. This will be like Python, R, and Matlab. This will offer the complex as well as the sophisticated visualizations. You can create a slick graphics. This will be using its built-in library as well as chart development widget. No coding will require.
Also, it will support the multiple data import as well as analysis options. You can simply plugin data and get going. Charts can export, embedded as well as even stored in well-organized folders. Costing varies significantly according to plans. There is a free option too.
Qlik Sense and QlikView:
Qlik Sense caters to both tech-savvy as well as the non-geeky users. This platform provides a scalable framework. This will be a centrally deployed guided analytics dashboard, custom, embedded and self-service analytics. You can instantly search across all your data. Similarly, you can combine all your data sources. This will be in a single view and gather quick actionable insights. You can drill down as much you want, with analytics updated with each click. We can create innovative as well as interactive visualizations using a drag and drop interface. That presents the results in a story form. A unified hub is a center for sharing and finding the data analysis. Qlik Sense Desktop version is totally free. This is with other options being Qlik Sense Cloud as well as Qlik Sense Enterprise.
QlikView has a steep learning curve. It is slightly expensive. But it is amongst the major players in the BI space. Its features will include the following. They are,
- Strong data visualization capabilities.
- Powerful BI.
- Analytics as well as enterprise reporting capabilities.
- A clean UI.
Users can explore and discover data as QlickView maintains. Also, automatically manipulates the data associations. Users don’t have to preconfigure data. This is to identify the relationships. It offers a quick as well as the rich user experience. This is possible by allowing the storage. Also, the access of the data by several users at a time. Thereby, it will allow for the faster queries. Dashboards as well as the reports are easy. This is to navigate but require the developer skills to build the reports.
Sisense will provide a full stack analytics platform. You can create charts, complex graphics as well as interactive visualizations. This is by using it’s drag as well as drop interface. Multiple data sources can gather in repositories. It will allow for instantaneous querying and an option. This is used to share across the industry.
Tableau is one of the biggest market players in the industry. With a gentle learning curve and no programming required Tableau. This will encourage intuitive as well as very easy visualizations. The rich library of visualization types includes “word clouds” as well as “bubble charts”. These will make the faster data comprehension. Tree diagrams and treemaps will provide the contextual information.
It can integrate with many advanced database solutions. It is like Hadoop, Amazon AWS, My SQL, SAP and Teradata. It can handle huge as well as the dynamic datasets.
It has special features of Data Blending. Also, this can also collaborate in real time. You can share the reports in Tableau by publishing them to a Tableau server. This is possible with the following. They are,
- email Tableau Reader capability.
- by publishing Tableau workbook openly.
- Giving access to anyone who has a link.
Tableau Public is a free software. Tableau offers various pricing options.