Investigating The Heating Load Requiremens Of A Building As A Function Of Building Parameters Using Ggvis In R
Abstract
Abstract Since the era of computers, statisticians have relied on various soft￾ware to be able to compute and analyze data so as to infer from them and
create models to tackle real world problems. R is one of the many softwares
that does this. R is a statistical software that computes basic and complex
mathematical problems. It has numerous packages that deal with different
computations and data display. GGVIS is a package that makes it easy to
build interactive graphics for exploratory data analysis. These graphics are
fundamentally web graphics, so as to enable the author to display them in
web pages easily. It is a strong package because it enables the graphs to be
interactive, so as to enable users to infer a range of information without the
need of many graphs. Moreover, ggvis enables one to display their graphs on
web browsers, making it very useful in this digital age. Ggvis is a rather new
package. Other packages that are similar to ggvis include the ggplot2. Ggvis
borrows many familiar concepts from ggplot2, but there are several signifi-
cant differences. The main difference is that ggvis makes fewer assumptions
about the data, making its results more accurate. Ggvis is built on top of
Vega. Vega is a frameworks of objects to ease the construction of 3 dimension
visualizations