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Tools for data processing and displaying in research include statistical software like R and Python, which offer libraries such as Pandas and Matplotlib for data manipulation and visualization. Spreadsheet applications like Microsoft Excel and Google Sheets are also widely used for basic data analysis and charting. Additionally, data visualization tools like Tableau and Power BI enable researchers to create interactive dashboards and visual representations of complex datasets. These tools help in effectively analyzing and communicating research findings.

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