Publications by Laura Burenkov
Data 606 Project
Abstract Maternal health complications remain a critical challenge in rural, resource-limited settings like Bangladesh. This study investigates primary risk factors by analyzing 1,014 health records collected through an IoT-based monitoring system across rural healthcare facilities. Elevated systolic and diastolic blood pressures in the high-ri...
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Lab 9
library(tidyverse) library(openintro) library(GGally) The data glimpse(evals) ## Rows: 463 ## Columns: 23 ## $ course_id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 1… ## $ prof_id <int> 1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5,… ## $ score <dbl> 4.7, 4.1, 3.9, 4.8, 4.6, 4.3, 2.8, 4.1, 3....
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Lab 8
Getting Started library(tidyverse) library(openintro) The data Exercise 1 What are the dimensions of the dataset? dim(hfi) ## [1] 1458 123 The dataset has 1458 rows and 123 columns. Exercise 2 What type of plot would you use to display the relationship between the personal freedom score, pf_score, and one of the other numerical variables? Pl...
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Data 606 proposal
Data Preparation #URL of the dataset url <- "https://raw.githubusercontent.com/lburenkov/maternalrisk/refs/heads/main/Maternal%20Health%20Risk%20Data%20Set.csv" #Loading the dataset into a data frame df <- read.csv(url) #Displaying the first few rows of the dataset head(df) library(tidyverse) library(openintro) Research question What are t...
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Lab 7
library(tidyverse) library(openintro) library(infer) The data data('yrbss', package='openintro') ?yrbss ## starting httpd help server ... done Exercise 1 What are the cases in this data set? How many cases are there in our sample? There are 13583 cases in this dataset. ls(yrbss) ## [1] "age" "gender" ##...
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Assignment 1 Data 622
Introduction In this exercise, we conducted a comprehensive analysis of sales data utilizing two datasets: a smaller dataset of 100 rows and a larger dataset containing 50,000 rows. Our primary objective was to explore sales patterns across various regions and analyze the influence of factors such as sales channels and order priorities on overa...
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Lab 5 part II
Getting Started Load packages library(tidyverse) library(openintro) library(infer) The data us_adults <- tibble( climate_change_affects = c(rep("Yes", 62000), rep("No", 38000)) ) ggplot(us_adults, aes(x = climate_change_affects)) + geom_bar() + labs( x = "", y = "", title = "Do you think climate change is affecting your loca...
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Lab 5
Getting started library(tidyverse) library(openintro) library(infer) The Data global_monitor <- tibble( scientist_work = c(rep("Benefits", 80000), rep("Doesn't benefit", 20000)) ) ggplot(global_monitor, aes(x = scientist_work)) + geom_bar() + labs( x = "", y = "", title = "Do you believe that the work scientists do benefit pe...
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Lab 3
Basketball players who make several baskets in succession are described as having a hot hand. Fans and players have long believed in the hot hand phenomenon, which refutes the assumption that each shot is independent of the next. However, a 1985 paper by Gilovich, Vallone, and Tversky collected evidence that contradicted this belief and showed ...
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Data 606 Lab 2
library(tidyverse) library(openintro) library(airports) Importing Data data(nycflights) names(nycflights) ## [1] "year" "month" "day" "dep_time" "dep_delay" "arr_time" ## [7] "arr_delay" "carrier" "tailnum" "flight" "origin" "dest" ## [13] "air_time" "distance" "hour" "minute" ?nycflights ## starting ...
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