What are the tools for data visualization and what are the main data visualization tools

Get straight to the point, don't talk nonsense! hightopo

It is independently developed by Xiamen Tupu Software Technology Co., Ltd., focusing on the field of data visualization of 2D and 3D graphical interface components, with users in telecommunications, electric power, transportation, water conservancy, public security, national defense, medical care, finance, scientific research and other industries. It provides a one-stop data visualization solution from the SDK's API component library to industry icons and 3D model resource libraries.

The flagship product HT for Web (HT for short) is a middleware based on HTML5 standard browser technology for data visualization graphics components in the field of monitoring, which is used for rapid creation and deployment, highly customizable, and has powerful interactive functions for topology graphics and dial charts and other applications. It has the characteristics of lightweight, efficient, easy-to-use and cross-platform, the industry's rich icon and 3D model resource library, one-stop data visualization solutions, and has formed a set of practice-proven efficient development processes and ecosystems.

According to the on-site CAD drawing, bird's-eye view, equipment three views and other materials to restore the appearance modeling, through HT to achieve interactive web 3D scenes, can be scaled, translated, rotated, each device in the scene can respond to interactive events.

HT Industrial Internet Graphic Configuration Visualization, based on pure HTML5 (Canvas WebGL WebVR) standard Web technology, meets the needs of cross-platform cloud deployment and implementation of industrial Internet of Things, and can quickly realize modern, high-performance, cross-platform (desktop mouse, mobile touch, virtual reality, VR) graphic display effects and interactive experience.

HT provides a complete pipeline operation tool chain, from view component design, rich icon design, 2D drawing design to 3D scene design, corresponding visualization, and the resources created by each tool can be directly shared and reused. It not only solves the pain of traditional 2D and 3D design being separated and unable to be integrated; It also solves the problem that traditional designers and programmers use completely different independent design and development tools, resulting in inconsistent design and final implementation results, and truly realizes the seamless integration of 2D and 3D, and the designers and programmers unify the tool collaborative development mode to achieve high-speed iteration of product development and quickly turn ideas into 2D, and 3D final interface results.

Establish a 1:1 high-fidelity simulation, based on the three-dimensional scene of the digital factory, to show the construction, operation, safety equipment and precautions of each production plant in the mining industry, so as to achieve realistic and shocking visual effects.

Build modern, cross-desktop and mobile enterprise applications without worrying about cross-platform compatibility and touchscreen gesture interactions.

The software tools for data visualization are:

1. RawGraphs is a leading open-source tool for data visualization, which is often used to process data in excel sheets. All you need to do is upload the data into RawGraphs, design the diagram you want, and export it in SVG format or PNG format. In addition, the data uploaded to Rawgraphs is only processed on the web side, ensuring data security.

2. ChartBlocks is a visual tool, its intelligent data import wizard can guide you step by step to import data and design charts, simple and easy to use, and you can also share your own charts on social media (such as Facebook and Twitter) with one click through Chartblocks. You can also export the diagram as SVG, PNG, JPEG and PDF, or generate the source code and embed the diagram into it. In addition to a free personal account, ChartBlocks also offers a more powerful Pro account and a flagship account.

Some data visualization tools are also available in different versions for individuals, teams, and businesses, and these tools have more features and technical support than free tools.

3. Tableau is a well-known data visualization tool in the world, and you can easily use Tableau to transform data into the form you want. Tableau is a very powerful, secure, and flexible analytics platform that supports multi-person collaboration. You can also browse the generated charts at any time via your Tableau software, web page, or even mobile device, or embed them in reports, web pages, or software.

4. PowerBI is a business analysis tool developed by Microsoft, which can be well integrated with Microsoft's office software. Users are free to import any data, such as files, folders, and databases, and can view the data using PowerBI software, web pages, and mobile apps. Powerbi is free for individual users, and the team version is also cheap, charging only $1 per month for a single user.

Let me say it briefly.

echarts

In Echarts, a parallel coordinate system (Parallel) is a commonly used diagram to visualize high-dimensional data. The parallel coordinate system has a good mathematical foundation, and its projective geometry interpretation and duality characteristics make it suitable for visual data analysis. Through the configuration given by echart, the graph can be rendered according to the configuration document.

D3D3 is a tool library that can use the given data to draw the corresponding graphs, which is also very flexible, but requires a certain development foundation.

Cool screen. Cool screen is a data visualization product developed by Yixin Huachen,There are hundreds of built-in graphics in the product,And provide a visual configuration interface,Through a simple mouse operation,You can complete the graphics setting。 In addition, the product supports access to various types of data sources, and through convenient visualization processing, the data can be bound to the graph, which greatly simplifies the complexity of parallel coordinate diagrams using multi-dimensional data.

Several super useful data visualization tools to help data analysis shine.

Data visualization is not just about turning numbers into cool charts, the goal of data visualization is to quickly find problems, identify problems, and analyze causes. So, data visualization is first graphical, and then exploratory analysis can be done.

1) Yan Sen's high color warning.

Power-BI visualization tool can set color warning columns for each chart object, which makes it easier to see the problem at a glance. The height of the bar chart reflects the size of the sales amount, while the shade of color reflects the level of gross profit.

2) Highlight linkage.

With the highlight linkage, you can see where the same entry is in different perspectives. For example, when looking at the top 10 sales gross profit, the distribution of sales volume and sales volume in a certain province.

3) Chart maximization.

In the meeting scenario, we need to temporarily maximize a chart object to make it easier for everyone to conduct research and discussion.

4) Arbitrary linkage of charts.

Arbitrary linkage between Power-BI charts can be used to make data visible.

5) Exploratory analysis.

Through intelligent drilling and multi-dimensional dynamic analysis between reports, the exploratory analysis is truly realized, from identifying problems to analyzing the causes of hailstorms, you can do it with the mouse!

For example, if the company's sales target is not met, which area is not met? Which city or category in East China did not meet the standard? What are the reasons for the failure of category A? Whether it's because it's out of stock or because of poor sales?..

Another example: in the distribution of inventory age, in the inventory of more than 361 days, how many times has the largest backlog of A materials been purchased in history? Why is there such a large purchase volume at a certain time? Who handled this? In which warehouse is it stored ?..

Another example: in the cost analysis, the market cost of store A has increased significantly month-on-month, and the market cost has been spent on the first? After the investment of marketing expenses, whether the sales performance of the store has reached the expected growth target ?.. the future