Publications by PK O’Flaherty
DATA624 Homework 2
Exercise 3.7.1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed over time? The USA had the highest GDP every year from 1960 to 2017 but the story changes when you look at GDP per Capita. Then the USA had the highest from 1960 to 196...
9940 sym R (3830 sym/2 pcs) 17 img
DATA624 Homework 1
Exercise 2.10.1 Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. Use ? (or help()) to find out about the data in each series. What is the time interval of each series? aus_production: quarterly pelt: yearly gafa_stock: daily (but trading days) vic_elec: every thirty m...
5827 sym R (4874 sym/15 pcs) 13 img
DATA624 Homework 1
Exercise 2.10.1 Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. Use ? (or help()) to find out about the data in each series. What is the time interval of each series? aus_production: quarterly pelt: yearly gafa_stock: daily (but trading days) vic_elec: every thirty m...
4815 sym R (4058 sym/4 pcs) 6 img
Publish Document
library(networkD3) library(dplyr) links <- data.frame( source=c("Maintenance", "Antennae", "Laundry", "Rental", "Interest", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income"), target=c("Income", "Income", "Income", "Income", "Income", "Property Taxes", "Mortgage Interest", "Daisy", "Al...
9 sym R (1009 sym/2 pcs)
Document
library(networkD3) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union links <- data.frame( source=c("Maintenance", "Antennae", "Laundry", "Rental", "Commercial", "In...
9 sym R (1242 sym/5 pcs)
Publish Document
library(networkD3) library(dplyr) links <- data.frame( source=c("Maintenance", "Antennae", "Laundry", "Rental", "Commercial", "Interest", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income"), target=c("Income", "Income", "Income", "Income", "Income", "Income", "Property Taxes", "Mortgage...
9 sym R (1026 sym/2 pcs)
Publish Document
library(networkD3) library(dplyr) links <- data.frame( source=c("Maintenance", "Antennae", "Laundry", "Rental", "Commercial", "Interest", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income", "Income"), target=c("Income", "Income", "Income", "Income", "Income", "Income", "Property Taxes", "Mortgage...
9 sym R (1040 sym/2 pcs)
D608 Story 7
Preamble Peter Zeihan devoted a chapter in his book, The End of the World is Just the Beginning, to what would happen in a deglobalized world to the supply of strategic minerals and how that would degrade science, progress and the modern lifestyle to varying degrees around the globe. Here we take a stripped down version of that analysis to see wher...
8254 sym R (5903 sym/1 pcs) 5 img 2 tbl
D608 Story 6
Preamble We are lobbying you, our Congressional Representatives, to fund Universal Daycare for children who are too young to enter Kindergarten. We’ll demonstrate a correlation exists between poverty and hunger, then show how children, especially young children, disproportionately experience poverty, and therefore food insecurity, compared to adu...
3748 sym R (2635 sym/1 pcs) 2 img
D608 Story 5
Nasa Image from Jeff Schmaltz of Tropical Cyclone Amanda Source: https://education.nationalgeographic.org/resource/hurricanes-cyclones-and-typhoons-explained/ Introduction Fun Fact! 1950 was the first year meteorologists started naming Hurricanes alphabetically. The first named Hurricane to strike land in 1950 was Hurricane Baker. Historic data...
10080 sym R (3504 sym/6 pcs) 6 img