Using RMD, ggplot2, viridis, season, gridextra and Knitr to publish.

Data from San Francisco police department. Shows all assaults from 01/01/2018 to 03/03/2018. I used leaflet and circle markers due to the high volume (1600+)

Histogram showing diamond count against price color coded with cut. I used the viridis color palette to cater to those with colorblindness and also because the scale is uniform across the spectrum (unlike rainbow).

Practice using ggplot2

A data transformation/scaling exercise I did for university. It it data analysis performed on university Journal rankings and then a choquet integral applied to the results. The objective was to determine which factor (out of all those supplied) had the greatest impact on a journal ranking. My results found that half-life was twice as important as the other variables I analyzed.

Viridis color package example and practice publishing full docs with code included via Knitr

Some testing to accentuate certain points of the graph by making the remainder a neutral color (gray)

Using waffle plot as an alternative to pie graphs. Useful in some situations to compare quantities between similar objects. Handy as a high level overview. Icons can be changed to represent entities such as car/plane/diamond/apple/visa card/$ sign etc.

High level comparison example

Highway Milage vs Displacement. Linear Model

Practicing scatterplots with geom_smooth method set to Auto.

With extra features (scaled to population size, annotations included). Colors changed.

An example of a scatterplot made in R using ggplot2. X axis is Area (density), Y axis is population in the state of texas. Color coded by State. Extreme outliers removed. Key included