You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Explore the journey of data wrangling and analysis in the WeRateDogs project. Using Python, gather, assess, and clean data from the Twitter archive of @dog_rates. Unveil insights through visualizations and uncover trends like decreasing retweets over time. For details, refer to wrangle_act.ipynb and wrangle_report.pdf.
Students find numerical solutions to a first order ordinary differential equation (ODE) model of glucose-insulin system using Euler’s method and least squares in MATLAB.
Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.
Students collect and analyze solar incidence angles over time to evaluate their own hypotheses, coupling this with the additional data analysis in Excel to draw conclusions about environmental change.