When assessing the two solutions, reviewers found Microsoft Power BI easier to use, set up, and administer. Reviewers also preferred doing business with Microsoft Power BI overall.
While there are many good statistical packages, SPSS is the only one in which it is easy to edit the data or variable properties in the data view. It is also my favorite software to use when I need to merge data files or generate aggregate variables. Data...
Producing graph using SPSS is not the best way. It is not flexible and difficult to modify the graphs. SPSS is slower than other statistical softwares if you are working with a large dataset.
Visualizations. They're absolutely fantastic. Importing data is incredibly easy and it's much more powerful than excel or many SQL based visualization tools.
Power BI was made by people who never use it. Its user interface is not great, data doesn't always load, and find reports is very difficult.
While there are many good statistical packages, SPSS is the only one in which it is easy to edit the data or variable properties in the data view. It is also my favorite software to use when I need to merge data files or generate aggregate variables. Data...
Visualizations. They're absolutely fantastic. Importing data is incredibly easy and it's much more powerful than excel or many SQL based visualization tools.
Producing graph using SPSS is not the best way. It is not flexible and difficult to modify the graphs. SPSS is slower than other statistical softwares if you are working with a large dataset.
Power BI was made by people who never use it. Its user interface is not great, data doesn't always load, and find reports is very difficult.