Publications by Laura Burenkov
Lab 2
library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.2.3 ## Warning: package 'ggplot2' was built under R version 4.2.3 ## Warning: package 'tibble' was built under R version 4.2.3 ## Warning: package 'tidyr' was built under R version 4.2.3 ## Warning: package 'readr' was built under R version 4.2.3 ## Warning: package 'pur...
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HMW1
library(openintro) ## Warning: package 'openintro' was built under R version 4.2.3 Introduction Week 1 Assignment - Loading Data into a Data Frame.We are often tasked with taking data in one form and transforming it for easier downstream analysis. We will spend several weeks in this course on tidying and transformation operations. Information ...
4723 sym Python (12301 sym/28 pcs)
Lab 1
##Loading packages and libraries library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.2.3 ## Warning: package 'ggplot2' was built under R version 4.2.3 ## Warning: package 'tibble' was built under R version 4.2.3 ## Warning: package 'tidyr' was built under R version 4.2.3 ## Warning: package 'readr' was built under R versi...
1859 sym R (4058 sym/35 pcs) 4 img
Project proposal
Information The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan. Donated on 8/17/2018. The purpose of this analysis is to determine the the house price of a unit area in New Taipei City through a linear regression model. Data Preparation ## # A tibble: 414 × 8 ## No `X1 trans...
1505 sym R (3107 sym/10 pcs) 1 img
Lab 6
Loading packages library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.2.2 library(openintro) ## Warning: package 'openintro' was built under R version 4.2.2 library(infer) library(dplyr) library(tidytext) ## Warning: package 'tidytext' was built under R version 4.2.3 data('yrbss', package='openintro') set.seed(74226) E...
8994 sym Python (3945 sym/33 pcs) 4 img
Project @
Information The goal of this assignment is to give you practice in preparing different data sets for downstream analysis work. Your task is to: Choose any three of the “wide” datasets identified in the Week 6 Discussion items. (You may use your own dataset; please don’t use my Sample Post dataset, since that was used in your Week 5 assignm...
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Lab 4
library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.2.2 library(openintro) ## Warning: package 'openintro' was built under R version 4.2.2 ###Loading data data("fastfood", package='openintro') head(fastfood) ## # A tibble: 6 × 17 ## restaur…¹ item calor…² cal_fat total…³ sat_fat trans…⁴ chole…⁵ sodi...
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Project 1
Information and goals: This is a text file with chess tournament results where the information has some structure. The goal is to create an R Markdown file that generates a .CSV file (that could for example be imported into a SQL database) with the following information for all of the players: Player’s Name, Player’s State, Total Number of P...
729 sym R (8603 sym/10 pcs)
Lab 2
library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.2.2 library(openintro) ## Warning: package 'openintro' was built under R version 4.2.2 Importing Data data(nycflights) names(nycflights) ?nycflights glimpse(nycflights) Analysis ggplot(data = nycflights, aes(x = dep_delay)) + geom_histogram() ggplot(data = nycflights, ...
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Project 1
ds<-readLines("7645617.txt") ds <- ds[1:length(ds)%%3!=1] oddlines<- ds[1:length(ds)%%2==1] evenlines<- ds[1:length(ds)%%2!=1] data<-paste(oddlines, evenlines) writeLines(data,"newds.txt") dataset<-read.table("newds.txt", sep = "|", header = TRUE) library(readr) newdataset<-data.frame( name=dataset$Player.Name, State=dataset$Num, ...
11 sym R (8447 sym/8 pcs)