In this project, several files are imported in R(Rstudio), and given correct column types/names based on the data types in each variable.

In this project, I did data transformation using different functions, such as select(): to select only specific variables from the data frame, filter(): to set condition when only selecting the data from the data frame, arrange(): to sort the entire data frame in ascending or descending order with respect to a specified variable. Finally those functions were used to make a plot with ggplot().

In this Project, Some visualization plots were performed with ggplot(). geom_line() is used to connect the points with lines, geom_point() makes a scatterplot, and geom_boxplot() displays the distribution of specified variable.

In this project, the data frame was transformed using several functions including mutate(): to add calculated variables to the existing data frame, summarize() to summarize variables, and made a geom_boxplot to learn about distribution in median of the price variables in each city in Texas.

Stat 360