New Historical Map of Arlington Shows What County Looked Like 100 Years Ago

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New Historical Map of Arlington Shows What County Looked Like 100 Years Ago

New Historical Map of Arlington Shows What County Looked Like 100 Years Ago

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A new historical map of Arlington allows users to explore what the county looked like 100 years ago. The digital map depicts a mix of new and old pictures, showing the buildings that were standing in Arlington’s neighborhoods in the 1920s. By clicking pinpoints on a county map, users can check out the homes and businesses that


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Air Pollution Kills as Many People as Cigarettes

Air Pollution Kills as Many People as Cigarettes

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By Neha Pathak, MD Editor’s note: This story was updated Oct. 25, 2019 with a new analysis of air quality data by the Associated Press. Oct. 8, 2019 — When she turned 62 in 2012, Latifa Moosajee and her husband decided to downsize from their home in small-town Georgia. They moved into a brand-new townhouse in


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PROJECT 3 Australia 1975-77

Category:National 1966-80,Project 3 Australia 1975-77

  Introduction: Project two provided a complete national demographic analysis of variations in the Labor vote between 1966 and 1975. The demographic data was based on the application of the 1968 boundaries to the 1971 census results and the political data was based on national 1966-75 2PP votes and swings in the 1968 electorates. In


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PROJECT 7 – Key Groups for 1983

Category:National 1966-80,Project 7 Key Groups for 1983

Introduction to Project 7 Key Groups for 1983 In this project I will deal with factors endogenous to the demographic model developed in projects one to six. This part will draw together and summarise the relevant material on long-run volatility, the groups which have drifted towards or away from Labor during 1966-80, the 1980 Australian


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PROJECT 6 – Key Seats

Category:National 1966-80,Project 6 Key Seats

Introduction: One of the facts of political life in Australia is that swings at election time are never uniform. Table 6.1 presented below shows that since 1961 the range of swing has typically been about five times as large as the mean swing. Click to continue reading: Project 6 Key Seats


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PROJECT 5 – The Australian Democrats

Category:National 1966-80,Project 5 The Australian Democrats

Introduction: The Australian Democrats were formed in mid-1977 under the leadership of ex-Liberal Minister Don Chipp. The party was formed primarily to provide a vehicle for the Victorian Senate Campaign of its Leader and to a lesser extent a power base in the Senate for the same man. In this context the aim of the


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PROJECT 1 – SA 1973 to 1977

Category:National 1966-80,Project 1 SA 1973-77

  Project 1 – South Australian Research This project summarises demographic research into the South Australian elections of 1973 and 1975. The research was used by strategists to help plan the successful S.A. 1977 election campaign. Project one was included in the present report to show the background and development of demographic research techniques and


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PROJECT 4 – Australia : 1977-1980

Category:National 1966-80,Project 4 Australia 1977-80

  Project 4 – Part One Introduction: Projects two and three have provided a demographic analysis of variations in the Labor vote from 1966 to 1977, using the 1971 Census data and the 1968 boundaries. In 1976 a national census was taken which for the first time included questions dealing with income. In 1977 there


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PROJECT 2 – Australia 1966-75

Category:National 1966-80,Project 2 Australia 1966-75

  Project 2A  1966-75 Averages Introduction:  This second project begins where the South Australian project ends. We start with an acceptable methodology and preliminary indications that a similar national analysis could find a strong relationship between class and vote, and weaker relationships between swing and both age and public housing tenancy. Click to continue reading:


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How Data-Driven John Deere Wins the Market

HOW DATA-DRIVEN JOHN DEERE WINS THE MARKET

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Written by: Marianna Kantor, Frits van der Schaaf Article snapshot: Using AI-based predictive analysis, John Deere helps its dealers spot growth opportunities in markets around the world. As some companies pull ahead, others fall behind. It’s the essence of competition—and increasingly, data separates the winners from the laggards. Giants like Amazon, Facebook, and Google have propelled