Learning to use predictive functions for modeling linear regressions with mtcars dataframe.

Using R to analyze and produce linear models determining patient survival rates correlating to different variables.

Analyzing differences between colon cancer cell lines, identifying which genes proliferate faster. This activity highlights skills such as sorting arrays, manipulating values, and illustrating visual datasets.

Analyzing differences between breast cancer cell lines, identifying which genes proliferate faster. This activity highlights skills such as sorting arrays, manipulating values, and illustrating visual datasets.

Using R functions to create matrices, heatmaps, and statistics to manipulate and analyze breast cancer gene expression data.

Using nutritional data of different cereal brands, I was able to understand the code flow of what different functions did on my own.

Learning to use heatmaps using examples of car models. From this activity, I now understand how to use R studio markdowns to format my website and code.

Learning how to use indexing and other functions to manipulate datasets with breast cancer data.