This toolbox focuses on tools for creating graphs and charts with appropriate statistics for publications and presentations. Learning how to present your data appropriately with the correct tools is an invaluable skill and the tools below should help!
Prism is the most widely used tool out there for scientific graphs and statistical analysis. It offers multiple different graph types with detailed statistics. It is not free but most labs have a license and there's a student discount!
R Studio has a steep learning curve but can be useful for generating figures on large datasets or bioinformatics data. It is completely free and open source and there is a massive repository of additional packages to extend functionality. Additional options that are similar include Matlab, python, etc.
Tableau is more of a data visualization tool than an analysis tool. However, we include it here because it can help create beautiful visualizations of complex data (i.e. large datasets, bioinformatics, complex comparisons, etc.).