Publications by Joey Campbell
Web Scraping IMDB
Introduction Data and information on the web is growing exponentially. All of us today use Google as our first source of knowledge - be it about finding reviews about a place or understanding a new term. There is a lot of information available on the web. With the amount of data available over the web, it opens new horizons of possibility for a D...
9716 sym R (13014 sym/62 pcs) 8 img
Carvana
Welcome to the Carvana Analytics experiment evaluation assignment! Introduction This project includes fictional data from an outbound call initiative Carvana has been making to users in order to attempt to increase sales. In this exercise you will be asked to describe the results of how the campaign has been performing, explore how you might imp...
29935 sym R (16013 sym/23 pcs) 6 img
Lab 3 Reproducible Research
Problem 10 This question should be answered using the Carseats data set. library(ISLR) attach(Carseats) (a) Fit a multiple regression model to predict Sales using Price,Urban, and US. fit<-lm(Sales~Price+Urban+US) summary(fit) ## ## Call: ## lm(formula = Sales ~ Price + Urban + US) ## ## Residuals: ## Min 1Q Median 3Q ...
2273 sym R (4275 sym/12 pcs) 1 img
Rgeom04_demo
1. What geom would you use to draw a line chart? A boxplot? A histogram? An area chart? line chart: geom_line() boxplot: geom_boxplot() histogram: geom_histogram() area chart: geom_area() 2. Run this code in your head and predict what the output will look like. Then, run the code in R and check your predictions. ggplot(data = mpg, mapping = aes...
265977 sym R (1499 sym/14 pcs) 15 img
edamiss17_demo
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 1. What happens to missing values in a histogram? What happens to missing values in a bar chart? Why is there a difference? Missing values are removed when the number of observations in each bin are calculated. See the warning messa...
2828 sym R (450 sym/8 pcs) 2 img
tidydatacasestudy28
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 Case Study To finish off this section, let’s pull together everything you’ve learned to tackle a realistic data tidying problem. The tidyr::who dataset contains tuberculosis (TB) cases broken down by year, country, age, gender, ...
21733 sym R (2334 sym/26 pcs) 1 img
charClasses36_demo
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 1. Create regular expressions to find all words that: 1. Words starting with vowels str_subset(stringr::words, "^[aeiou]") [1] "a" "able" "about" "absolute" "accept" "account" [7] "achieve" ...
7123 sym R (3968 sym/21 pcs)
fact_lvl_mod48_demo
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 1. How have the proportions of people identifying as Democrat, Republican, and Independent changed over time? To answer that, we need to combine the multiple levels into Democrat, Republican, and Independent levels(gss_cat$partyid) ...
2904 sym R (1784 sym/8 pcs) 2 img
detectMatch38_demo
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 1. For each of the following challenges, try solving it by using both a single regular expression, and a combination of multiple str_detect() calls. Find all words that start or end with x. Find all words that start with a vowel and...
4619 sym R (1490 sym/21 pcs)
for_loop_variation60_demo
suppressPackageStartupMessages(library("tidyverse")) package 㤼㸱tidyverse㤼㸲 was built under R version 3.6.3 suppressPackageStartupMessages(library("stringr")) #The package microbenchmark is used for timing code. suppressPackageStartupMessages(library("microbenchmark")) package 㤼㸱microbenchmark㤼㸲 was built under R version 3.6.3 1...
8048 sym R (3284 sym/41 pcs)