Category: R

library(tidyverse) library(tidyr) library(dplyr) ###PRACTICE MERGING### #1. Read in each file from the folder NH-2020-M5 #2. Perform some exploration of the data and understand how these datasets join #3. Join these datasets to create a masters NIBRS dataset #4. Use this dataset to answer questions for your R Lab Quiz #5. Use this dataset to create…

Overview For your final project, you will use R to solve problems about probability distributions. Specifically, you will make use of the d, p, q, and r functions built into R for working with probability distributions. In most cases, you will need to determine the type of probability distribution that is described and use R…

Apply the fundamental R programming concepts, including vectors, data frames, subsetting, and basic visualization, to analyze a dataset of housing values in the suburbs of Boston. Uses an external CSV file that contains some missing values. A key part of the task will be identifying and handling these data issues before performing your analysis. Download…

Overview In this project, you will use R to solve counting and probability problems. To gain the most benefit from this project, avoid calculating numeric values and entering them into R. Instead, use R to do all necessary calculations. This project analyzes trends in U.S. housing prices and affordability using open-source data. The goal is…

The zipfile contains 2 CSV data set, Instruction for the assignment in words and template for the assignment in R. Please read the instruction in the word document, use 2 CSV data set for the assignment in R, and follow template in R studio answer all the questions in instructions Word. Requirements: 1 page

PART ONE For this assignment you will write an R program to complete the tasks given below. You will hand in two files for this assignment. A File with your R program. This file should contain only the code (no output) and must have the typical r extension. No other file extensions will be accepted.…

Overview Asking appropriate questions of data is an important part of data analytics, as is interpreting the results of the analysis. In this assignment, you will familiarize yourself with a dataset and begin thinking about key questions you could answer from the data. Instructions To complete this assignment, you will produce and submit two files:…