Select all that apply Which of the following are chailenges associated with using Tableau? High cost when scaling for large organizations Requires separate dashboards for mobile and desktop due to dis? plasues Limited to 16 -column table displays \( \square \) Does not allow integration of Python and R directly within its interface

To address the challenges associated with using Tableau, let's evaluate each option provided: 1. **High cost when scaling for large organizations**: Tableau can be expensive, especially when scaling for large organizations. This is a valid challenge associated with using Tableau. 2. **Requires separate dashboards for mobile and desktop due to disparities**: Tableau does offer different dashboards for mobile and desktop, but this is not necessarily a challenge. In fact, Tableau's mobile app allows for seamless viewing and interaction with dashboards on mobile devices. 3. **Limited to 16-column table displays**: Tableau does have limitations on the number of columns that can be displayed in a table, but it is not limited to 16 columns. The actual limit depends on the specific version of Tableau being used. 4. **Does not allow integration of Python and R directly within its interface**: Tableau does allow integration with Python and R through various methods, such as using APIs or third-party tools. While direct integration within the interface might not be possible, there are workarounds to achieve this integration. Therefore, the challenges associated with using Tableau are: - High cost when scaling for large organizations - Limited to 16-column table displays (although this is not a strict limitation) - Does not allow integration of Python and R directly within its interface (although workarounds exist)