Average Expenses for TV across states of USA

November 30, 2015

(This article was first published on Coastal Econometrician Views, and kindly contributed to R-bloggers)

This post makes an attempt to depict the averages spent across the states towards their TV channel expenses for a big size country (USA). Though it has been developed using sample data belonging to a particular service provider; this post depicts its interest in regional differences in average spent on said service across the country. Herein, I would like to bring to your notice that economic importance of some USA states being notably better connected with multiple service providers and due to geographical location and population density, results/insights may be specific to this sample data. All the analysis has been carried out using R Programming Language components (R-3.2.2, RStudio (favorite IDE), ggplot2 for mapping).
Average Amount Spent ($) on TV by States in 2015 (till Nov):

The figure below depicts the map of 48 states of USA (for which the data was available) wherein it shows the average TV expense by state for the year 2015 which was available till end of the November; with five different colors (i.e. five different intervals of average spent). 
As it is evident from above map that for given sample North-East (region) states region has highest averages spent on TV. Next best averages (orange color) are noticed in pacific region and few Central and East states. As mentioned earlier this may be due to economic importance or due to service provider geographical spread which the employed sample data fails to take an in-depth note.

Author undertook several projects and programs towards data sciences, views expressed here are from his industry experience. He can be reached at [email protected] for more details.

To leave a comment for the author, please follow the link and comment on their blog: Coastal Econometrician Views.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)