Which tool is commonly used alongside spreadsheets and databases for data analysis?

Visualization tools are an essential component of data analysis because they allow users to interpret complex data sets more clearly. When data is presented in raw form, such as in spreadsheets or databases, it can be challenging to identify trends, patterns, or outliers. Visualization tools help transform this raw data into graphical representations, such as charts, graphs, and dashboards. These visual elements enhance understanding, facilitate communication of insights, and support decision-making processes.

For example, when analyzing sales data, a visualization tool can create a bar chart that clearly shows sales trends over different months, making it much easier to see fluctuations and patterns compared to examining rows of numbers in a spreadsheet. The use of visualization enhances the analytical capabilities by providing a quick overview and detailed insights into data relationships.

When considering the other options, statistical software is indeed used for more advanced analysis and statistical computations but may not solely focus on visualization. Text editors primarily serve for editing text and are not designed for data analysis. Web browsers are tools for accessing the internet and do not directly contribute to data analysis functions. Thus, visualization tools directly complement both spreadsheets and databases by making data more accessible and understandable.