How to visualize data and how to visualize data

1. Visualization is a bridge connecting users and data, and it is a means for us to show our results to users, so visualization is not a very specialized research field, and it can have a very wide range of applications and creation paths. As a non-computer professional, you can use existing programs and software to create clear and intuitive charts based on the characteristics of your data. Excel, SPSS, Google Public Data, etc.

Some blogs will also cover commonly used visualization tools, such as 22 free recommendations for data visualization and analysis tools.

2. If you have a certain programming foundation, you can try to use some programming or mathematical tools to make custom diagrams, such as Mathematica, R, Prototype, etc.

3. Taking it a step further, you can write your own visualization system in a programming language. In this way, you will have a lot of freedom to play the space and control ability, data processing, expression, interaction and so on can be very independent design.

Know the characteristics of your data objects: continuous or discrete, two-dimensional or multi-dimensional.

What are the attributes of the data to be presented?

Find a book that introduces the visc and choose a tool.

Use figurative graphics to represent the meaning of the data, such as the bar plot for the height, the color for the temperature, etc.

Some visualization goals are for observing and tracking data, so it is necessary to emphasize real-time, change, and computing power, which may generate a constantly changing and readable chart; In order to analyze the data, it is necessary to emphasize the presentation of the data, and may generate a retrievable and interactive chart; In order to discover potential associations between data, distributed multi-dimensional charts may be generated; In order to help ordinary or business users quickly understand the meaning or changes in data, some use beautiful color combinations and animations to create vivid and attractive charts.

Let's explain it in detail:

1. Real-time data viewing anytime and anywhere: no longer limited to PC and TV large screen display, but also real-time data viewing on mobile phones, which helps managers to view the data they are concerned about in real time, and can also share it with team members.

2. Data connectivity of various departments of the enterprise: The data of various departments of the enterprise can be intuitively viewed through the large screen to view the correlation between multiple data and multiple businesses, providing managers with global and clear data, systematically understanding the operation of the entire enterprise, and providing more scientific and effective support for enterprise decision-making.

3. Strengthen business communication among team members: Team members can not only view business data anytime and anywhere, but also comment and communicate on the data at any time, and can also designate someone to receive comment notifications and view data.

It also provides multi-level data permission control, and enterprises can use different permission combinations according to the confidentiality level of data.

5. Fast and efficient multi-data collection: through API and database, the data of various systems of the enterprise can be automatically obtained in real time, and intuitively displayed through charts. There is no need for separate systems to collect relevant data.

6. Timely and active reminder of abnormal indicators: Enterprises can set up early warning messages when key indicators reach a certain value, and no longer need to actively view and look for risk data, and wait for the data early warning messages to be received to control risks in time.

What does data visualization mean

Data visualization is very simple to understand, only need to split it into "data" and "visualization" two words, it is easy to understand, data visualization refers to the use of graphical, visual means, the data into visual charts, and then through statistical analysis methods, to obtain the hidden value information behind the data, in a more intuitive form to provide information support for enterprises, to assist managers in development decisions.

Data Visualization - Pico Data.

What are the benefits of data visualization

1. Make data easier to digest

I often joke with people that it's not that we choose to use visualization to process data, but that the brain processor is better at processing image information and can quickly digest information with charts, which makes data visualization naturally better adaptable and can maximize the capabilities of the brain processor.

Data Visualization - Pico Data.

2. Make it easier for data to convey information

Data visualization analysts can use graphical means to place large pieces of data into small charts, simplify the content, make data communication more concise, and analysts can also show differences in data through rich charts and diverse colors, which is smoother and more intuitive.

3. Make it easier for data to show logic

With data visualization, analysts can go through column charts.

Line charts, for example, show changes in data trends, that is, the logic between data. Not only trends, pie charts can show the percentage of data in total, scatter charts.

It can show the ...... of data relevanceAll of this makes the data logical and better presents the results of the data analysis.

Data Visualization - Pico Data.

Data visualization is the scientific and technological research on the visual representation of data.

This visual representation of data is defined as a type of information extracted in some summary form, including the various attributes and variables of the corresponding unit of information. It is a concept that is constantly evolving, and its boundaries are constantly expanding.

Refers primarily to technically advanced technical methods that allow the visualization and interpretation of data through representation, modeling, and the display of stereoscopic, surface, attributes, and animations using graphics, image processing, computer vision, and user interfaces. Compared to special technical approaches such as stereo modeling, data visualization covers a much broader range of technical approaches.

Specific methods include: data visualization methods: size visualization, color visualization, graphic visualization, spatial and conceptual visualization, etc.

Data visualization is not about drawing, about images. It's not just about converting data from cold numbers to graphics, it's not just about being more colorful, looking cooler and more advanced.

Good data visualization can not only bring people visual impact, but also reveal the rules and truths contained in the data. The ultimate goal of data visualization is to gain insight into the phenomena and patterns contained in data, which have multiple meanings: discovery, decision-making, interpretation, analysis, exploration, and learning.

In simple terms, it allows us to enhance the efficiency of people in completing certain tasks through visual expression.

Data visualization is all about graphically representing information and data. With visualization elements such as charts, graphs, and maps, data visualization tools make it easy to see and understand trends, outliers, and patterns in your data.

In the field of big data, data visualization tools and techniques are essential for analyzing vast amounts of information and making data-driven decisions. From art and advertising to television and film, all of our cultural content is transmitted in visual form, and our eyes are always drawn to colors and patterns. The way we interact with data should reflect this reality.

Data visualization is the transformation of data into graphs or tables, etc., to present and present data in a more intuitive way. Through the way of "visualization", the data we do not understand can be effectively expressed through graphical means, and a certain information can be conveyed accurately, efficiently, concisely and comprehensively, and even we help discover certain laws and characteristics and mine the value behind the data.

Data visualization is widely used in the Internet, which refers to the processing of data collected by computers to make it easier for people to interpret. In this regard, people are more inclined to use graphics to represent them, and later, 3D graphics are applied.

The human eye is a pair of parallel processors with high bandwidth and huge visual signal input, with super pattern recognition capabilities, with more than 50% of the functions of the brain for visual perception-related processing, so that human beings can obtain data through vision better than any other form of acquisition, a large amount of visual information is processed in the subconscious stage, and human processing of images is 60,000 times faster than text. Data visualization is the use of innate human skills to enhance data processing and organizational efficiency.

Now there is a bunch of data, the data contains the daily ** changes of various fruits, now let you find the ** changes of apples and oranges in May, you are not very troublesome and messy to find in a bunch of fruit data. Now to give you a kind of diagram with a variety of fruits** changes on the map for you to see at a glance. This diagram is data visualization.

The new infrastructure is a service infrastructure system that is guided by new development, driven by technological innovation, based on information network, and oriented to the needs of high-quality development, providing digital transformation, intelligent upgrading, integration and innovation. Data 3D visualization is the most intuitive embodiment of data value, and has become an indispensable part of daily office, emergency response, command and dispatch, strategic decision-making and other scenarios.

Pipeline 3D visualization: If the traditional manual modeling method is used, the cost is usually high, the implementation period is long, and the visualization content is of little significance in the scene, and the visualization direction is to supervise business data, rather than the real sense of pipeline layout. The 3D visualization of pipelines can generate link visualization data such as network interfaces, HVAC pipelines, and electrical pipelines connected between devices.

The operation status and connection status of the equipment are displayed in the form of visualization and animation, so that the operation and maintenance personnel can see clearly.

3D visualization of the campus: The overall scene adopts the method of lightweight modeling, which carries out high-precision modeling and restoration of the appearance of the campus and buildings where the data center is located, supports 360-degree observation of the virtual campus, and drills down to the exterior of the campus of the data center layer by layer by clicking on the corresponding area. It can not only rotate, translate, zoom and farther the mouse, but also rotate, zoom and pan the touch screen device, so you don't have to worry about different interaction modes across platforms.

Data 3D visualization can achieve end-to-end visibility, improve governance and management, and ultimately achieve operational excellence in the data center, including improving resource utilization, improving response time, reducing the complexity of using multiple management tools, improving operational efficiency, speeding up troubleshooting, and improving availability.

Data visualization aims to convey and communicate information clearly and effectively with the help of graphical means. However, this doesn't mean that data visualization has to be boring to fulfill its functional purpose, or extremely complex to look like it. for....

Data visualization refers to the use of business intelligence BI to express complex, abstract, and incomprehensible data in charts and graphs to convey information clearly and effectively. Data visualization is an extension of BI data analysis, in which analysts use statistical analysis methods to transform data into information and then visualize it.

Visualization Dashboard - Packo Data Business Intelligence BI

After data visualization, the complex data analysis report is transformed into a concise and clear visual report in business intelligence BI, so that employees in different departments and different positions such as finance, production, operation, and sales can obtain information through data visualization and promote the better development of the enterprise.

Finally, analysts can also use business intelligence BI to make visual reports of different terminals such as PC, mobile, and large screen, and form data visualization of different styles and functions such as management cockpit, business analysis, enterprise status, core indicators, monitoring and early warning, etc., so that data analysis can penetrate into the core of the enterprise and drive the healthy development of the enterprise with data as the core.

Data visualization tools.

1. The advantage of visualization tools is that they are more lightweight, and simple charts can be made through templates. The visualization tool can also be subdivided into two types, one is free and paid in parallel, this kind of visualization tool generally has watermarks, functions, import and export and other restrictions, and pays to unlock full functions.

The other is an open-source visualization tool, which can generally use all functions for free, and can also make complex data visualization reports, but it usually needs to be written to make visual charts, which has high IT technical requirements for users.

2. Business intelligence BI has complete functions, rich component templates, and is a complete set of data technology solutions composed of data warehouse, query report, data analysis, data visualization, etc. Business intelligence BI can be directly connected to the database, store different data in the data warehouse, and also have data processing capabilities such as ETL and data model, and classify data in the form of indicators and labels.

Data Visualization - Paco Data Business Intelligence BI

In BI, data visualization can make visual reports for PC, mobile, and large screens, and you can complete data visualization analysis and make visual reports by simply dragging and dropping, and also have detailed user permission settings to protect data security.