Walkthrough of how to wrangle and visualize contact tracing relationship data into an interactive network graph.

Walkthrough on using nest() and many models approach to case control study using CDC data from a classic E. Coli outbreak, circa 2009

In this case study, we learn how to explore crowdsourced data to estimate a prevalence of events reported by residents of a city municipality. The example we are using is open defecation (Human or Animal Waste) on the streets of San Francisco.

Walkthrough of preliminary sentiment analysis of open-ended interview question responses.

Create predictive models of BCG vaccinated person prevalance. Evaluate associated predictive covariates through regression modeling. Utilize specialized spatial GLM modeling to adjust for spatial autocorrelation. Evaluate autocorrelation pre and post spatial adjustment. Generate predictive maps of vaccinated person prevalence. Measure fit of models through mean squared error.

Walkthrough of extracting raster layers and mapping to assigned spacial areas, as as aggregating values within raster layer to a unique resolution.

Exploring and testing global and local spatial clustering with malaria test positive prevalence data.

Spatial Risk Ratio example. Generating spatial variance predictions with IDW and Krig methods, evaluating models through mean squared error measurement.

Exploration of climate and minimum distance to heath facility variables. Malaria test positive with children, Ethiopia 2009

Map to document no fault evictions filed during the COVID-19 shelter in place order.

Code walkthrough and theoretical approaches to information bias in large crowdsources datasets.

The following is a descriptive walkthrough, background, and supplemental appendix for a Total Cost of Ownership calculator with regards to the procurement of non-residential resilient flooring products. See: https://averysaurus.shinyapps.io/tco_res_floors/?_ga=2.224798554.1102884282.1608602754-454477659.1598254513