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We Helped With This Statistics with R Programming Homework: Have A Similar One?

Category | Programming |
---|---|
Subject | R | R Studio |
Difficulty | Undergraduate |
Status | Solved |
More Info | Statistics Homework Helper |
Assignment Description
BA Homework #3
Business Analytics - Spring 2019, NYU
INSTRUCTIONS & SUBMISSION
Complete the problems below and submit via NYUClasses. Submit a PDF file with your answers, graphs, and Tableau screenshots code.
Problem 1: CitiBike anomaly detection & neighborhood usage
CitiBike data reveals how users go about using bikes for travel needs such as commuting, entertainment, and tourism. However, the data is highly criticized for anomalies.
Link to dataset: https://github.com/jcbonilla/BusinessAnalytics/blob/master/BAData/Citibike%20Data.csv
Questions:
Explore this CitiBike dataset and answer the following questions:
1. What anomalies detectable with tripduration and the age of the user
2. Which neighborhoods have the highest demand in traffic usage. Conduct your exploratory data analysis using the relative number of departures by riders with annual memberships from Citi Bike stations that happen during
a. Morning
b. Evening
c. Alternative hours
3. Based on your anomalies analysis in (1) and geographical usage in (2), what recommendation would you provide to the CitiBike operators
Problem 2: Aviation Accidents
Aviation accidents involve human injuries, fatalities, and aircraft damages in multiple levels.
Link to dataset:
https://github.com/jcbonilla/BusinessAnalytics/blob/master/BAData/aviation.csv
Questions:
Using the aviation data provide, develop a dashboar d that does the following:
1. Geospatial visualization of fatal vs. non-fatal crashes in the US from the 1940s through 2013.
2. An additional displays for:
a. Countries with most incidents
b. Historical deaths by year
Problem 3: Retail Targets
Assume you are a Northeaster (NE) regional manager and have been asked to benchmark your region against the performance of other regions in the USA. Use Tableau to analyze and visualize the 10-year percent change in demographics.
Tips:
(1) use “group” in Tableau to compute the NE Region NE Region includes the following states:
● Maine(ME), New York(NY), New Jersey(NJ), Vermont(VT), Massachusetts(MA), Rhode Island(RI), Connecticut(CT), New Hampshire(NH), and Pennsylvania(PA)
(2) use “calculated field” for each 10-year percent change. Demographics include:
● Population, Income, Density, Ownhome
● Percentage of U18, college, white, black
Link to dataset:
https://github.com/jcbonilla/BusinessAnalytics/blob/master/BAData/HDLData.csv