In this assignment: -Perform a Scenario Design analysis https://www.booking.com/. -Consider whether it makes sense for this recommender system to perform scenario design twice, once for the organization (e.g. Amazon.com) and once for the organization’s customers. -Attempt to reverse engineer what you can about the site, from the site interface and any available information that you can find on the Internet or elsewhere. -Include specific recommendations about how to improve the site’s recommendation capabilities going forward.

In this assignment, use the primary example code in Text Mining in R - Chapter 2 Sentiment Analysis (Silge & Robinson, 2020) and extend the code in the following manner: -Work with a different corpus of your choosing -Incorporate at least 1 additional sentiment lexicon.

This assignment is to choose one of the NY Time APIs, construct an interface in R to read in the JSON data, then transform data to an R dataframe.

Loading HTML, XML, and JSON data exchange formats into data frames and compare them.

Theme for this Project is Data Transformation.. The Student Performance in Exams dataset.

Data Transformation of the NYC MTA of annual ridership from 2013-2018.

Following are the goal’s for this assignment: -Transform data between wide and long formats using tidyr package -Change shapes of data frames using dplyr package -Perform data transformations to support downstream data analysis

Presentation for Meetup on Collaboration Overview of Project 1

In this project, a text file containing results from a Chess Tournament of 64 players will be imported from Github, then manipulated in order to calculate a chess player’s mean pre-chess tournament rating of opponents, and finally create a .csv file for use in subsequent analysis.

Week 3 Assignment in Character Manipulation This week’s assignment comprises the following: provide code that identifies College Majors containing “DATA” or “STATISTICS” provide code that transforms a set of data Describe, in words, what specified expressions will match Construct regular expressions to match words

# R Week 2 Assignment: # Here is a list of data sets: http://vincentarelbundock.github.io/Rdatasets/ (click on the csv index for a list) # 1. Use the summary function to gain an overview of the data set. Then display the mean and median for at least 2 attributes # 2. Create a new data frame with a subset of the columns and rows. Make sure to rename it. # 3. Create new column names for the new data frame. # 4. Use the summary function to create an overview of your new data frame. Then print the mean and median for the same two attribute. Please compare. # 5. For at least 3 values in a column please rename so that every value in the column is renames. # 6. Display enough rows to see examples of all of steps 1-5 above. 7. BONUS – place the original .csv in a github file and have R read from the link. This will be a very useful skill as you progress in your data science education and career.

# R Week 2 Assignment: # Here is a list of data sets: http://vincentarelbundock.github.io/Rdatasets/ (click on the csv index for a list) # 1. Use the summary function to gain an overview of the data set. Then display the mean and median for at least 2 attributes # 2. Create a new data frame with a subset of the columns and rows. Make sure to rename it. # 3. Create new column names for the new data frame. # 4. Use the summary function to create an overview of your new data frame. Then print the mean and median for the same two attribute. Please compare. # 5. For at least 3 values in a column please rename so that every value in the column is renames. # 6. Display enough rows to see examples of all of steps 1-5 above.

Task 1: Write a loop that calculates 12 factorial Task 2: Show how to create a numeric vector that contains the sequence from 20 to 50 by 5. Task 3: Create the function "quadratic" that takes a trio of input numbers a, b, and c and solve the quadratic equation. The function should print as output the two solutions.