During this activity, I worked with gene expression and also created dot plots of the data to better visualize the negative or positive effect. By the end of this activity, I had created predictive models based on the expression and compared the models to the original expression.

In this activity, I analyzed colon cancer data and related it to the physical aspects of the cell. Then, I looked at how that contributes to the cell's growth and reproduction to portray its invasive nature.

In this activity, I focused on analysing a large data set sourced from real cancer patients and how the data can overlap to show similarity. I used the information to articulate different tables, box plots, scatter plots, and histograms to express the data clearly. I also focused on finding the mean of said data and how it can relate to the context given.

This activity focused on extracting percentages using code and creating histograms for data from real cancer patients. This helped me understand the differences and similarities between different cancer patients.

This activity focuses on extracting specific data from a bigger set of data using code while also comparing and contrasting different findings.

In this activity, I explored different functions through articulating heatmaps. I learned about the visual value that heatmaps provide when analyzing a large dataset.

In this activity, I focused on working with many heatmaps and explored how to create them in a precise and accurate way to reach a full understanding of data.