Publications by Hannah Mandell
Art and Artists - Using a Random Forest Model
The data today come from the Tate Art Gallery (https://github.com/tategallery/collection) library(tidyverse) library(tidytuesdayR) library(lubridate) library(dplyr) library(tidyr) library(broom) library(countrycode) library(praise) #install.packages("tidymodels") library(tidymodels) #install.packages("ranger") praise() ## [1] "You are tiptop!" G...
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Social Media & Market Value Exploration
library(tidyverse) library(dplyr) library(ggplot2) library(lubridate) library(plotly) #install.packages("GGally") #install.packages("reshape2") followers <- read.csv("socialmedia_followers.csv") player_value <- read.csv("player_market_values.csv") followers <- followers %>% select(-X_) %>% select(-X_.1) %>% select(-Sport) player_value <- p...
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New York AirBNBs
Airbnb Listings in NY Hannah Mandell Overview Column Location Column Number of stays 48895 Average price per day 153 Number of Stays by Neighborhood Average Price by Neighborhood Room type Column Average price per day of common room Average price per day of high-class room Column Number of normal stays 48509 Average price...
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Superbowl Ads
Done with the lovely, Prof. Jo Hardin! library(tidytuesdayR) library(tidyverse) library(dplyr) #install.packages('tuber') library(tuber) library(rvest) library(httr) #install.packages('ggforce') library(ggforce) tuesdata <- tidytuesdayR::tt_load('2021-03-02') ## ## Downloading file 1 of 1: `youtube.csv` youtube <- readr::read_csv('https://raw....
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NWSL Analysis
#install.packages("rlang") #install.packages("ggplot2") #install.packages("tidyverse") #install.packages("dplyr") #install.packages("stringr") #install.packages("lubridate") #install.packages("tidymodels") #install.packages("ggmap") #install.packages("devtools") #install.packages("devtools") #devtools::install_github("adror1/nwslR") library(ggpl...
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Plastics & Corporations
TidyTuesday Join the R4DS Online Learning Community in the weekly #TidyTuesday event! Every week we post a raw dataset, a chart or article related to that dataset, and ask you to explore the data. While the dataset will be “tamed”, it will not always be tidy! As such you might need to apply various R for Data Science techniques to wrangle the...
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Makeup Shades
TidyTuesday Load the weekly Data Dowload the weekly data and make available in the tt object. tt <- tt_load("2021-03-30") ## ## Downloading file 1 of 5: `ulta.csv` ## Downloading file 2 of 5: `sephora.csv` ## Downloading file 3 of 5: `allShades.csv` ## Downloading file 4 of 5: `allNumbers.csv` ## Downloading file 5 of 5: `allCategories.csv...
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