1, choose a visualization tool
You can choose Paike Data Business Intelligence BI for data visualization design, the enterprise through the deployment of BI, the ability to business data through the data warehouse directly connected to the visualization of the report, through the use of pre-designed theme visualization and analysis of the templates, which will allow the enterprise's business, technical and management personnel can all produce good-looking data visualizations.
You can also use the rich visualization charts in the BI system to make custom settings such as titles, sizes, color schemes, specifications, etc., to create different styles of data visualization reports on different terminals such as PCs, mobile, and large screens, etc., so that you can fully analyze the development of the enterprise's business and turn data into information.
Data Visualization - Paike Data BI Visual Analytics Platform
Data Visualization - Paike Data BI Visual Analytics Platform
2, select the chart
The selection of charts is directly related to the visualization of the presentation effect, a suitable chart can be able to transform the link between the data into intuitive information. A proper chart can translate the connections between data into intuitive information, while a wrong chart may lead the target audience in the wrong direction.
Visualization charts - Pike Data BI visual analysis platform
Data visualization analysts must understand all the mainstream types of charts, know which charts are suitable for what kind of analysis, and what kind of information can be presented. For example, line charts, bar charts, etc. can easily show the trend of things, but if you present the trend of sales volume changes in a certain period of time on a pie chart, then this chart is not the best way to show the trend of sales volume. pie chart, then the chart is meaningless.
3, page layout
Analysts will be a complete page divided into different boards, levels, to ensure that the data can be fully displayed, while the designers should also pay attention to the degree of importance of the division of information, in the overall visual design, the core of the data indicators placed in the most important position, occupying a larger area, the rest of the indicators In the overall visual design, the core data indicators are placed in the most important position, occupying a larger area, and the rest of the indicators are unfolded around the core indicators according to priority.
Visualization of the big screen - Paike data BI visual analysis platform
Of course, in the actual visual analysis process, the management of the data given to the data needs will generally be more, the requirement to show the same page as much as possible on the amount of information. This is where the designer needs to divide the data into more layers based on the need to account for key information, balance layout space, and simplicity and intuition.
Visualization of the big screen - Paike data BI visual analysis platform
4, data visualization and analysis
In the process of data analysis, many newcomers to the process of a misunderstanding, and often a variety of visual charts filled with a few screens, thinking that this can be all the information intuitively displayed to the user. In reality, users don't need that much content, and they tend to prefer an at-a-glance content design where they can see key information at a glance, as opposed to a complex display of information.
Data Visualization - Paike Data BI Visual Analytics Platform
In addition, the entire visual chart page, the color should not be too rich, the best color is not too bright, the color contrast to the key information, with clear logic to present changes, highlight the key parts of the user to produce a better experience, which is what they most want to see.
Finally, back to the data analysis itself, analysts can choose to attach their own information from business logic to the completed visualization charts to help users better distinguish the meaning of the charts.