Is there a web version of the data visualization tool that you can recommend?

Recommend a domestic latest big data visual analysis software datafocus, using the latest Chinese natural language processing system, after the deployment is as convenient and simple to use as a browser search, and cost-effective, you can apply for a trial on their official website. A brief introduction: First of all, the data processing technology based on the premise of big data can achieve second-level response to terabyte-level data, interactive analysis, drilling up and down to mine data; Then target business people with no IT background, of course, data analysts can also use it, and they can focus more on the problem itself, skipping the heavy programming process before.

In addition, IT personnel are not required to model in advance, and can be flexibly adjusted and automatically modeled during the analysis process, improving the efficiency of analysis and improving the insight and timeliness of enterprise decision-making. DataFocus uses natural language analysis and processing, and uses search and question-and-answer interactive methods to better fit user habits, and uses AI intelligence to assist users in exploring data. Lightweight modeling, direct data connection, and flexible interaction make it cheaper, faster to launch, more convenient to use, and more valuable than traditional BI.

Here's how it works:

You're just one ray away from big data visualization.

The software tools for data visualization are:RawGraphs is an open-source data visualization tool that 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.

chartblocksIt's a visual tool with an easy-to-use smart data import wizard that guides you step-by-step through importing data and designing charts, as well as sharing your own charts on social networks such as Facebook and Twitter with one click via 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.

If you don't do it, you have to use new technology. This principle also works in BI visual analysis, after all, the new technology and new functions are simple to use, efficient and effective. But the question is:

Try out the new technology and new features of BI visual analytics? Of course, it is a free version of SpeedBI data analysis cloud independently developed by Aowei Software, a senior BI manufacturer. The new technology of BI visual analysis is brought together here, which allows individual users and enterprise-level users who are investigating BI to try various new functions for free, and more reasonably evaluate the visual analysis capabilities and effects of Aowei BI software.

Intelligent voice gives you a platform that can do analysis by speaking

SpeedBI Data Analytics Cloud adds an intelligent voice function to achieve the effect of using speaking to operate BI. Just like at the year-end meeting, at the ** meeting where various thoughts and thoughts collide with each other, you don't need to operate the mouse, you just need to send data analysis instructions to the screen, and a complete visual analysis report will be presented on the screen in the next second. Manually switch reports?

Manually create a BI visual analysis report? Manually modify a data source or extract data? No!

Just to say, SpeedBI Data Analytics Cloud will automatically complete intelligent data matching and analysis in the background, and finally present it as a graphical analysis report.

New and better layout, novices are not confused on the road

SpeedBI Data Analytics Cloud adopts the latest layout interface, which puts commonly used and important functional modules in a prominent position, and does not need to be called from other places, but can be applied directly on the operation page, with fewer steps and faster operation.

The new layout is not only more conducive to streamlining the steps of BI report creation and improving the efficiency of intelligent data analysis, but also more friendly to novices, so that newcomers no longer have to worry about difficulty adapting to the new platform.

The filling function is deeply optimized, making it easier to use

In addition to the reporting function, SpeedBI Data Analytics Cloud also optimizes the in-memory computing function, adds richer interactive functions, and adds a number of short table function optimizations, such as complex Chinese-style reports through the row-column stitching of short tables.

SpeedBI Data Analysis Cloud simultaneously updates the advanced intelligent visual analysis functions and sections of the Aowei BI series, and is committed to providing a first-hand experience of new BI functions for a wider range of BI users, and assisting enterprise users to evaluate the effect of BI functions more comprehensively and scientifically. Users from all walks of life who have rich needs for intelligent data analysis and data visualization are welcome to log in to SpeedBI Data Analysis Cloud for free to experience the powerful and practical intelligent visual analysis effect of Aowei BI.

Here is a brief introduction to the two front-end data visualization libraries - G2 and Echarts, these two libraries are very convenient to use, easy to learn, interactive, can complete most of the daily chart drawing, including scatter charts, line charts, bar charts, pie charts, etc., below I briefly introduce the use of these two libraries, the main content is as follows:

G2: This is a front-end visualization library of Ali, data-driven, easy to use and scalable, users do not need to pay attention to complex implementation details, a few lines ** can draw a beautiful, generous, interactive chart, it is very convenient to use, the main test ** is as follows, in fact, it is to introduce the js library, and then create a div container, set the necessary configuration items and data in it, you can realize the drawing of graphics, here is a stacked bar chart as an example:

Open the webpage with a browser, and the rendering is as follows:

echarts: This is a front-end visualization library, the function is also very powerful, can run smoothly on PC and mobile devices, the first for intuitive, convenient, interactive rich visualization charts, and can be highly visual customization, the use of similar to the above G2, below I briefly introduced:

2.Then we can introduce it locally and draw the chart, which is to create a div container, and then formulate the configuration items and data of the chart, as follows, here is an example of drawing a pie chart with a block change:

Open the webpage with a browser, and the rendering is as follows:

Just share the simple use of these 2 front-end visualization libraries, the whole process, in fact, is very simple, as long as you have a certain front-end foundation, familiar with the example of Xiangjian Xiangguan and**, learn the official tutorial, you will soon be able to master, I hope the content shared above can help you.

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