Which tools can be used for presenting data visually during the share phase?

The choice highlighting Google Sheets, Tableau, and R reflects tools specifically designed for data visualization, making it the most suitable option for the share phase of data analytics. Each of these tools has unique strengths in terms of visual representation of data.

Google Sheets offers accessible visualization features that allow users to create charts and graphs directly from their spreadsheets, making it easy for teams to collaborate and share insights in a cloud-based environment.

Tableau is a powerful data visualization tool that excels in creating interactive and high-quality visualizations, enabling users to explore and present complex datasets effectively. Its capability to handle large datasets and create dashboards makes it particularly valuable in providing visual summaries of findings.

R is a programming language widely used for statistical computing and graphics. With its rich ecosystem of libraries and packages, R enables users to create custom visualizations tailored to specific analytical needs, making it a versatile choice for data presentation.

In contrast, the other options do not adequately represent tools intended for data visualization. While email and chat applications can facilitate communication and sharing of reports or insights, they do not provide visualization capabilities. The Internet and social media may serve as platforms for sharing content but lack the functionality needed for creating visual data presentations. Finally, while Microsoft Excel is indeed a tool for data analysis,