Please code the following in R: 3a) The built in data state.x77 (which can be loaded via data(state)) has data for the 50 US states. Fit a principal components analysis to this data. What proportion of variation is explained by the first three principal components? What variable has the greatest (absolute value) loading value on each of the first three principal components? (Note: the dataset state is a list of datasets one of which is a matrix named state.x77) 3b)

Develop a script in a language of your choice (e.g., Python, PowerShell) that automates a routine network security task (e.g., scanning a network for open ports, automating log analysis for suspicious activities). Provide detailed comments within your code to explain its functionality. No AI use please

You are using a web browser to load a webpage. Let's assume the size of the webpage is negligible. The access link rate of the webserver is 1 Gigabits per second. The IP address for the associated URL is not cached in your local host, so a DNS lookup is necessary to obtain the IP address. Suppose that n DNS servers are visited before your host receives the IP address from DNS; the successive visits incur an RTT of RTT1,..., RTTn. Let RTTo denote the RTT between the local host and the webserver containing the webpage. Now answer the following: 1) Ignore all types of delays at the client and the servers. How much time elapses from when the client clicks on the link of the webpage until the client receives the content of the webpage? 2) Now suppose, the HTML file references 10 additional objects (15 MB each) on the same server. Considering only the transmission delay at the webserver for each of these objects and ignoring all other delays at the host and the servers, recalculate the total…

Please code the following in R.  1a) Load the data set “ufc” (the file is ufc.csv). This data shows diameter at breast height (Dbh) and Height for forest trees. Can you use unstack() to get the diameter data for white pine (WP)? Start by unstacking all the diameter data. Can you also get this data by logical extraction? (Hint: use the function which(). If you really only wanted the data for one species logical extraction would probably be better.) 1b) For the data set ufc find the mean Dbh and Height for each species. (Hint: aggregate is your friend for more than one response variable.) 1c) Make a barplot showing these mean values for each species. Use beside =TRUE (stacking two different variables wouldn’t make sense...). (Hint: this will be easier if you make a new variable for the means from Q2. Look at ?barplot for the data type “height” must have- as.matrix() can be used to make something a matrix.) 1d) The barplot in Q3 suggests a fair correlation between Dbh and height. Plot…

What is the largest, negative inverse of 71 modulo 2501?

Does 49 have an inverse under modulo 3233?

Discussion Questions: What is the difference between data science and data analytics?

ExoProtect, which is an insurance company, plans to develop the operational database. Write out all requirements for the ER diagram for the ExoProtect Employees’ Computers Database shown below:

Signum Libri (SL) is a publishing company. The SL Operations Database will keep track of the following:   For each book SL publishes: a book name, genre, date of publication, and number of pages; For each writer: a unique writer identifier as well as the writer’s name; For each agent: a unique agent identifier as well as the agent’s name; For each editor: a unique editor identifier as well as the editor’s name; Each SL book is written by one writer, and each writer can write many SL books. SL will not keep track of writers who did not write a book for SL. All books written by the same writer have a different book name. However, two writers can write two different books with the same book name. Each writer is represented by one agent. Each agent represents at least one writer, but can represent many. Each book has one editor. Each editor edits at least one book, but can edit many books. Each editor can mentor one or more other editors, but does not have to mentor any. Each editor can…