Final project comparing the leading causes of death in NYC with the USA.

Recommender Engine Instagram.

In this assignment I will extend on the primary codes provided from chapter 2 in Text Mining with R, by using the sentiment dictionaries bing, nrc, loughran, on Alice in wonderland adventure from the gutenberg package in R.

The New York Times web site provides a rich set of APIs, as described here: https://developer.nytimes.com/apis You’ll need to start by signing up for an API key. Your task is to choose one of the New York Times APIs, construct an interface in R to read in the JSON data, and transform it into an R DataFrame. The api data I used from NY times was on books by Stephen King.

Data set exploration with tidyverse. The data set was from fivethirtyeight, on alcohol consumptions in different countries from 2010. Article: https://fivethirtyeight.com/features/dear-mona-followup-where-do-people-drink-the-most-beer-wine-and-spirits/ Data: https://github.com/fivethirtyeight/data/tree/master/alcohol-consumption

For this assignment I had to prepare data that was provided from the CUNYMart inventory, which is located at located at 123 Example Street,Anytown, USA. To prepare the data for analysis, I had to turn the given data into JSon, HTML, XML, and Parquet files and then read them in R.

To choose three data sets that are untidy, read it as a CSV file, tidy and transform that data.

Given a text file with the results of a chess tournament, I had to create a R Markdown file that generates the .CSV file and it had to have the players name, player’s state, total number of points, player’s pre-Rating, and average pre chess rating of opponents. .

A data frame was given on airlines and their arrival time in which needed to be tidied and transformed for further analysis. Then analyze the data to comparing the arrivals delays for both airlines.

A data frame was given on airlines and their arrival time in which needed to be tidied and transformed for further analysis. Then analyze the data to comparing the arrivals delays for both airlines.

Updated assignment 3

Assignment 3 for 607

Ratings for six popular movies from 2024

In assignment 1 from class data 607, data had to be imported from a website into R and we had to create subset data frames from the imported data. For my assignment I used an article on Super Bowl commercials.