gravatar

mgino11

Maria Ginorio

Recently Published

Solar Energy Consumption - Data 608
Final Project DATA 608
Cars Regression Analysis
Let’s consider a simple example of how the speed of a car affects its stopping distance, that is, how far it travels before it comes to a stop. To examine this relationship, we will use the 'cars' dataset.
Linear Regression 1
Researchers at the University of Texas in Austin, Texas (UT Austin) tried to answer the following research question: what factors explain differences in instructor teaching evaluation scores? To this end, they collected instructor and course information on 463 courses. A full description of the study can be found at openintro.org.
Drinking Water Quality in NYC
Water is an essential factor for the whole life and the human survival and, having an important role for both drinking as well economic sectors. Therefore, protecting this source against any pollution has become necessary (Witek and Jarosiewicz, 2009, Reza and Singh, 2010; Sojobi, 2016). In the last century, the availability and quality of surface or ground waters have been changing, mainly due to urbanization, industrialization etc.
Classification Model
We can use machine learning to predict labels on documents using a classification model. For both types of prediction questions, we develop a learner or model to describe the relationship between a target or outcome variable and our input features; what is different about a classification model is the nature of that outcome. A regression model predicts a numeric or continuous value. A classification model predicts a class label or group membership.
DT606_Final Project
Sentiment Analysis with Tidy Data
Let’s address the topic of opinion mining or sentiment analysis. When human readers approach a text, we use our understanding of the emotional intent of words to infer whether a section of text is positive or negative, or perhaps characterized by some other more nuanced emotion like surprise or disgust.
Working With Web APIs
The New York Times web site provides a rich set of APIs, as described here: https://developer.nytimes.com/apis The 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.
Project # 3
-
Working with XML and JSON in R
XML looks familiar to someone with basic knowledge about HTML, as it shares the same features of a markup language. Nevertheless, HTML and XML both serve their own specific purposes. While HTML is used to shape the display of information, the main purpose of XML is to store data. XML is data wrapped in user-defined tags. The user-defined tags make XML much more flexible for storing data than HTML.Indentation further facilitates reading but is not a necessary component of XML.
Project # 2
Tidy Data with tidyr
Create a .CSV file (or optionally, a MySQL database!) that includes all of the information described. You’re encouraged to use a “wide” structure similar to how the information appears above, so that you can practice tidying and transformations as described below.
Data Visualization
From .txt to .csv
The chess tournament text file is written in a format that is not legible in R. This file needs to be re-structured in order to find the average pre-tournament score.
Strings
Regular expressions, a powerful tool that enables you to search for complex patterns in text. - A regular expression is defined as a sequence of characters that represents a pattern that might or might not be present in any given string.
Super Bowl Ads
The American Super Bowl is a statement in the Advertisement industry due to the creative nature of their ads. Every year many brands showcase their best pieces of advertisement and see which team did it better This time we are asking the question - what is behind the creation of the ads? Was it funny? did it use sex to sell the product? did it feature a celebrity?
Pet Adoptions
When looking to add a new fury friend to the Family the thought of “Adopting” instead of buying is encouraged. However, in order to find a good fit for a home, the new pet owner needs to consider some aspects about the animal before the adoption process. Where are they coming from?, vaccinated?, have they been in a special needs home before? are they house trained?