What is the difference between Go's data visualization and data reporting techniques for building and integrating various data visualization and reporting functionality in Go programs for various purposes and scenarios?
Data visualization and reporting are two different techniques used in data analytics and business intelligence applications. Data visualization refers to the graphical representation of data and information to make it more easily understandable to the end-users. Data reporting, on the other hand, involves the generation of reports or summaries of data for stakeholders.
In Go, data visualization is typically done using third-party packages that provide charting and graphing functionalities, such as Plotly or Gonum. These packages enable developers to create visually appealing charts, graphs, and other forms of data visualizations that can be displayed in a web application or other user interfaces.
Data reporting in Go involves the generation of reports or summaries of data, which can be presented in a variety of formats, including PDF, Excel, CSV, or HTML. Go's standard library provides packages for generating reports and exporting data in various formats. Additionally, there are several third-party libraries available for Go that provide more advanced reporting capabilities, such as formatting, charting, and filtering data.
In summary, data visualization is concerned with creating visual representations of data, while data reporting is focused on generating summary reports of data in various formats. Both techniques are important in data analytics and business intelligence applications and can be implemented using Go's data visualization and data reporting packages and third-party libraries.