Before you use the data visualization feature of Data Management Service (DMS), we recommend that you familiarize yourself with the following terms.
|Dimension||A dimension represents an attribute of business data, such as time, region, gender, and category. A dimension contains a collection of discrete values.|
|Measure||A measure is a statistical value obtained by aggregating discrete values in a dimension. For example, unique visitor (UV) and transaction volume are both measures.|
|Dataset||A dataset is a collection of data in the form of a two-dimensional table. It is generated by executing an SQL statement to query a database. Therefore, you need to prepare a database and an SQL query statement to obtain a dataset.|
|Chart||A chart is a graph that visualizes data to present a data feature. For example, a line chart shows a data trend, a table chart displays detailed data, a bar chart compares data, and a pie chart highlights percentage. Different charts may need different numbers of dimensions and measures. For example, a line chart requires one dimension and one or more measures.|
|Dashboard||A dashboard is a visualization tool where multiple charts are combined to present business data in a comprehensive way. Charts can be laid out more flexibly in dashboards than in traditional visual reports. You can divide a dashboard into sections and specify the number of sections that each chart occupies. This can optimize dashboard layout and provide user-friendly interactions. You can also configure a global filter that allows you to filter data across charts on a dashboard and display data that is queried.|
|Dashboard collection||A dashboard collection is used to manage a group of dashboards that are related to each other. For example, you can create a dashboard collection that is specific to products and put the Products Sold dashboard, the Products Added to Shopping Cart dashboard, and the Products Returned dashboard to this dashboard collection. This provides convenient and unified management. In a dashboard collection, you can create recursive directories to classify the dashboards.|
|Big screen||In a big screen, you can combine multiple charts as you can on a dashboard. You can also use auxiliary graphics, such as images and rectangles, in a big screen. This allows you to create layouts in a more flexible way. Different from dashboards that you can divide into sections, big screens adopt an absolute positioning layout. That is, you can freely drag and drop charts and auxiliary graphics on a big screen. This meets the requirement for more flexible data visualization.|