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This article introduces the relevant knowledge of "what data visualization tools are available in the web". In the operation process of actual cases, many people will encounter such difficulties. Next, let Xiaobian lead you to learn how to deal with these situations! I hope you can read carefully and learn something!

What is Data Visualization?

Data visualization is basically to present the analyzed data in a visual form, such as charts, images, etc. These visualizations make it easy for humans to understand trends analyzed through visual images.

Data visualization is especially important when analyzing large data sets. When data scientists analyze complex data sets, they also need to understand the information collected. Data visualization will make it easier for them to understand through graphs and charts.

Today, Android or iOS developers are hired in part based on what tools and technologies they use. For businesses around the world, using these tools can help gain business insights and stay ahead of the competition.

Most of the best iOS and Android mobile app development companies use these tools to analyze data sets extracted from mobile apps to drive business growth and maintain customer base. This article introduces the excellent data visualization tools that every data scientist must use in 2020.

1. Tableau

Tableau is an interactive data visualization software. This tool will effectively assist in data analysis and visualization in the industry. With a drag-and-drop interface, this feature makes it easy to perform tasks.

You don't need to be able to write code to use this software, it's compatible with many data sources. Although the cost is a little expensive, it is the first choice of excellent companies such as Amazon. Qlikview is Tableau's big competitor and is widely used because of its unique drag-and-drop functionality.

Main features:

Real-time collaboration and data blending

Known as the simplest data visualization business intelligence tool

Data scientists do not need to write custom code in this tool

2. D3

D3.js was first released on February 18, 2011 and officially launched in August of that year, as a Javascript library for creating interactive data visualizations in Web browsers. It is the most effective platform for data visualization.

It supports HTML, CSS and SVG. Developers can present data in the form of vivid pictures and graphs. It is a very flexible platform that allows for the creation of different types of images.

Main features:

Powerful SVG operation

D3 integrates multiple methods and data processing tools

Data scientists can easily map data to SVG attributes

3.Plotly

Plotly enables more complex, fine-grained visualizations and can be combined with programming languages used for data analysis, including Python, Matlab, and R.

It is based on the open JavaScript visualization library d3.Js, but the commercial package (which may have non-industry licenses) adds user-friendliness and support in addition to built-in support for APIs including Salesforce.

Main features:

Provides integration of built-in permissions with SAML

Super fast and easy to deploy data visualization tools

Support rapid user exploration and prototyping

4. MicrosoftPower BI

Microsoft Power BI is a suite of business analytics tools that simplify data, instant preparation, and analytics. It works easily with Microsoft tools and is completely free to use and download, making it one of the most popular tools. The tool has mobile and desktop clients and is ideal for businesses using Microsoft tools.

Main features:

Interactive data visualization across multiple data centers

Enterprise data analytics and self-service on a single platform

Machine learning models can be easily created even by non-data scientists

5. Datawrapper

Datarapper is a boon for non-technical people and the most user-friendly visualization tool. Creating visualizations requires technical skills such as coding, but in this software, one does not need any technical foundation.

This app is best for beginners who want to work with data visualization, and it is also the friendliest app for data scientists. Media organizations often need to present everything through statistics and graphs, so Datarapper is widely used among them, and the tool is popular because of its easy-to-use interface.

Main features:

Embed code for users and export charts

Select multiple map types and charts simultaneously

No advanced coding knowledge is required to install the tool

6. Qlikview

Qlikview is similar to Tableau but requires a fee to be used commercially. It is a business intelligence platform that transforms data into useful information. The software helps improve the data visualization process.

It is the tool of choice for data scientists when analyzing large volumes of data. Qlikview is available in 100 countries and has a very strong community.

Qlikview's main functions are:

Integration of a very wide range of data sources, such as EC2, Impala, HP Vertica, etc.

Fast data analysis

Easy to deploy and configure

7. E Charts

E Charts is a commercial-grade chart data visualization tool created by Baidu expert team. It can be called pure Javascript chart library. It can run smoothly on various platforms and is compatible with most browsers.

Main features:

Multidimensional data analysis possible

The diagram is suitable for equipment of all size

Provides a framework for quickly building web-based visualizations

completely free to use

8. FusionCharts

FusionCharts is based on JavaScript Charts, a visualization tool that is already leading the market.

It can combine multiple systems and frameworks to produce more than 90 charts, which is very flexible. FusionCharts can create any type of visualization from scratch, which is one of its unique features. Customers can also choose from the "Live" sample templates.

Main features:

Help users provide useful tooltips

Ensure users understand different functions

Values of different data points can be compared with each other

9. Sisense

Sisense provides a complete analytics solution. Its visualization features feature simple drag-and-drop options that easily support complex graphs, charts, and interactive visualizations.

It allows accumulation of records in an easily accessible repository and immediate saving on the dashboard. Dashboards can then be shared among groups, ensuring that even tech-savvy people can find the solutions they need.

Main features:

Provide users with tools to understand data collected in a visual environment

Can connect directly to multiple data sources simultaneously

Using this tool, data scientists can connect maps and charts

10. HighCharts

Just like FusionCharts, although HighCharts is free for trial, non-commercial or non-public use, it requires a commercial license.

According to its website, 72 of the world's 100 largest organizations use the tool, which is often chosen when people want to launch fast and flexible solutions. Only a certain amount of professional data visualization training is required before use.

Main features:

Good compatibility for users

HighCharts is one of the most widely used data analysis tools

Easy to add interactive charts to advanced applications

Before you make a choice, you'd better spend some time exploring the various possible options. With a trial version, ask the vendor to provide a demo and compare the tool to its most similar competitor. Match vendor-provided features and pricing plans to company and mission requirements.

In addition, there are data monetization tools for extracting business insights from big data business models. Data will drive economic growth in the years ahead. Companies use different tools to analyze large data sets and provide personalized experiences for users.

The content of "What data visualization tools are available in the web" is introduced here. Thank you for reading. If you want to know more about industry-related knowledge, you can pay attention to the website. Xiaobian will output more high-quality practical articles for everyone!

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