Publications by Katelyn McAloon
Katelyn McAloon's Final Project
For my final project, I chose to complete the Data Camp courses Introduction to Data and Exploratory Data Analysis in R. Introduction to data focuses on identifying a question or problem and collecting the relevant data. One thing I found interesting in this course was the Sampson’s Paradox. Sampson’s Paradox is when a trend appears in severa...
889 sym 2 img
Katelyn McAloon's Assignment 2
Data & Source I choose to review an article in regards to Global Temperatures for assignemnt 2, which can be found at http://www.fao.org/sustainability/news/detail/en/c/1270570/. To verify the data is open i looked at the terms of service of the data and checked to see if robots.txt was in place. What I found Interesting and Difficult I found it...
680 sym
Katelyn McAloon's Assignment 2
Data & Source I choose to review an article in regards to Global Temperatures for assignemnt 2, which can be found at http://www.fao.org/sustainability/news/detail/en/c/1270570/. To verify the data is open i looked at the terms of service of the data and checked to see if robots.txt was in place. What I found Interesting and Difficult I found it...
680 sym
Katelyn McAloon's Error
Data & Source I choose to review an article in regards to Global Temperatures for assignemnt 2, which can be found at http://www.fao.org/sustainability/news/detail/en/c/1270570/. To verify the data is open i looked at the terms of service of the data and checked to see if robots.txt was in place. What I found Interesting and Difficult I found it...
680 sym
Katelyn McAloon's Assignment 2
Data & Source I choose to review an article in regards to the rising global temperatures for assignment 2, which can be found at http://www.fao.org/sustainability/news/detail/en/c/1270570/. To verify the data is open, i looked at the terms of service of the data and checked to see if robots.txt was in place. What I found Interesting and Difficul...
589 sym
Katelyn McAloon's Assignment 1
Credx - Analyzing the Data Merging the Data Files Duplicate Line Items within the Credit File #Checking for Duplicates within the Credit File str(credit) Duplicates<-(duplicated(credit$Application.ID)) Duplicate Line Items within the Demographic File # Check for Duplicate values within the Demographic data str(demo) Duplicates <- duplicate...
720 sym R (359 sym/4 pcs) 1 img