Publications by Anna Layne
Quiz 1
# Load packages library(tidyquant) library(tidyverse) # for count() function # Import S&P500 Stock Index SP500 <- tq_index("SP500") SP500 ## # A tibble: 505 x 8 ## symbol company identifier sedol weight sector shares_held local_currency ## <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> ## 1 AAP...
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Quiz 2
For this quiz, you are going to use orange juice data. This data set is originally used in a machine learning (ML) class, with the goal to predict which of the two brands of orange juices the customers bought. Of course, you are not building a ML algorithm in this quiz. I just wanted to provide you with the context of the data. The response varia...
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Quiz 3
For this quiz, you are going to use orange juice data. This data set is originally used in a machine learning (ML) class, with the goal to predict which of the two brands of orange juices the customers bought. Of course, you are not building a ML algorithm in this quiz. I just wanted to provide you with the context of the data. The response varia...
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Quiz 4
For this quiz, you are going to use orange juice data. This data set is originally used in a machine learning (ML) class, with the goal to predict which of the two brands of orange juices the customers bought. Of course, you are not building a ML algorithm in this quiz. I just wanted to provide you with the context of the data. The response varia...
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Quiz 5
Q1 Import data. Hint: The data file is posted in Moodle. See Module 5. It’s named as “gapminder.csv”. data <- read.csv("~//Buisness Statistics/data/gapminder.csv") head(data) ## country continent year lifeExp pop gdpPercap ## 1 Afghanistan Asia 1952 28.801 8425333 779.4453 ## 2 Afghanistan Asia 1957 30.332 92409...
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Quiz 6
For this quiz, you are going to use mpg (miles per galon) dataset. This dataset contains a subset of the fuel economy data that the EPA makes available on http: //fueleconomy.gov. It contains only models which had a new release every year between 1999 and 2008 - this was used as a proxy for the popularity of the car. The dataset has the following...
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