Himalayan Cedar trees in Manhattan within a bounding box.

Geometry of parks in Manhattan.

Sites of wind energy potential in Switzerland in areas of no conflicts with natural and tourist areas. source: Landscape Ecology course (ETHx LE-01x) via EdX.

The Pinus sylvestris species most frequently occurs in hot and dry valleys of the Alps and in relatively hot places in the Swiss Plateau with high solar radiation. This means that dryness and hot temperatures are no particular challenge for it.

You can see that temperature (top left) is particularly high in the valley bottoms of the Alps and the Swiss Plateau. Some major valleys as well as the Plateau are zones with relatively low moisture (top right), whereas higher elevation seems to indicate a wetter climate. Radiation (bottom) and therefore available sunlight or energy is higher in flat regions like the Plateau or the south of the Ticino. This is due to shade effects of the mountain flanks.

Scatter plotting fuel efficiency on highway vs fuel capacity in relationship with two discrete variables drv and cyl. drv stands for the type of drive train where f stands for front-wheel drive, r for rear-wheel drive and 4 is 4wd

Displaying fuel efficiency on highways vs fuel capacity in liters with each class. Source: R for data science by O'Reilly

Fuel efficiency on highway versus fuel capacity with each car class (source: R for Data Science by O'Reilly)

Plotting car's fuel efficiency on the highway against car cylinder. Smaller car cylinder is more fuel efficient on the highway than larger ones. (R for Data Science book, O'Reilly)

displ, a car's engine size, in liters and hwy, a car's fuel efficiency on the highway, in miles per gallon(mpg). A car with low fuel efficiency consumes more fuel than a car with a high fuel efficiency when they travel the same distance. (R for Data Science; Hadley Wichham & Garret Grolemund,, O'Reilly

Average UK viewers to watch different series on TV channels by comparing those who watch Channel 4 as compared to BBC channels mainly one and two

Interactive maps to view "Happiness Plant Index"

Happy Planet Index by using tmap R package

Importing CSV file, deleting a column, changing the format of the date from double to character to date of appropriate format, transforming the format of column of category to factor, changing the combining two columns (first name and last name) into one column "name" removing outliers, missing values and calculating the total for each category. Libraries used readr, tidyr, outliers, Hmisc and data.table