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El. knyga: Number Savvy: From the Invention of Numbers to the Future of Data [Taylor & Francis e-book]

  • Formatas: 312 pages, 18 Tables, black and white; 26 Line drawings, black and white; 2 Halftones, black and white; 28 Illustrations, black and white
  • Išleidimo metai: 16-Dec-2022
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-13: 9781003330806
Kitos knygos pagal šią temą:
  • Taylor & Francis e-book
  • Kaina: 96,94 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 138,48 €
  • Sutaupote 30%
  • Formatas: 312 pages, 18 Tables, black and white; 26 Line drawings, black and white; 2 Halftones, black and white; 28 Illustrations, black and white
  • Išleidimo metai: 16-Dec-2022
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-13: 9781003330806
Kitos knygos pagal šią temą:
This book is written for the love of numbers. It tells their story, shows how they were invented and used to quantify our world, and explains what quantitative data mean for our lives. It aspires to contribute to overall numeracy through a tour de force presentation of the production, use, and evolution of data.

Understanding our physical world, our economies, and our societies through quantification has been a persistent feature of human evolution. This book starts with a narrative on why and how our ancestors were driven to the invention of number, which is then traced to the eventual arrival at our number system. This is followed by a discussion of how numbers were used for counting, how they enabled the measurement of physical quantities, and how they led to the estimation of man-made and abstract notions in the socio-economic domain. As data dont fall like manna from the sky, a unique feature of this book is that it explains from a teachers perspective how theyre really conceived in our minds, how theyre actually produced from individual observations, and how this defines their meaning and interpretation. It discusses the significance of standards, the use of taxonomies, and clarifies a series of misconceptions regarding the making of data. The book then describes the switch to a new research paradigm and its implications, highlights the arrival of microdata, illustrates analytical uses of data, and closes with a look at the future of data and our own role in it.
Acknowledgements ix
Author xi
Author's Log xiii
Welcome xv
1 We Got Number
1(22)
Where It All Starts
1(2)
An Ancestor's Epiphany
3(2)
From Number to Counting and Measuring
5(1)
A Triple Problem
6(6)
Towards a Complete Number System
12(2)
Is This the End?
14(1)
Take-Aways
15(2)
For the Love of Numbers
17(1)
Fact-Checking Tips
18(5)
2 Measuring, With Instruments
23(24)
Units and Instruments
23(4)
Superior Data?
27(6)
Applied Cases
33(5)
That Matter of Time
38(3)
Fact-Checking Tips
41(6)
3 Humanity's Numbers
47(30)
Just Imagine
47(1)
Count Me In
48(5)
The Tribulations of a Decent Synthesis
53(4)
Go Forth and Multiply
57(3)
Live Long and Prosper
60(2)
What's in Store?
62(2)
Fun and Games
64(3)
What Happened to The Good Old Days'?
67(1)
A Proposal
68(1)
Fact-Checking Tips
69(8)
4 The Socio-Economic Realm
77(28)
The Rate of Unemployment
77(10)
Inside Empirical Research
87(10)
Fact-Checking Tips
97(8)
5 The Art of Drawing Lines
105(30)
The Opening Act
105(7)
Making Data
112(6)
Nothing Personal, All Business
118(9)
One Data
127(2)
Fact-Checking Tips
129(6)
6 The Old Guard
135(28)
The Players
135(5)
Modus Operandi
140(8)
Transitions
148(5)
A Very Big Deal
153(4)
Fact-Checking Tips
157(6)
7 The New Era of Data
163(34)
On New Sources and Methods
163(9)
Lessons from the Early Go
172(3)
Research (Re)Design
175(12)
The Graduate Course
187(4)
Fact-Checking Tips
191(6)
8 It's All About the Microdata
197(28)
Macro vs. Micro
197(3)
The Power to Reveal
200(7)
Coming of Age
207(13)
Fact-Checking Tips
220(5)
9 Data Analysis
225(34)
A Marvellous Toolbox
225(4)
Descriptive and Inferential Analysis
229(17)
Selected Topics
246(7)
Fact-Checking Tips
253(6)
10 The Future of Data
259(28)
A Messy Neighbourhood
261(6)
Data as a Strategic Resource
267(6)
More Reflections
273(6)
The End of Theory
279(3)
Data by Machines, for Machines
282(2)
Fact-Checking Tips
284(3)
Index 287
George Sciadas has worked in the public, private, and academic sectors. Hes well-known in statistical circles in Canada and internationally, having worked for more than three decades at Statistics Canada and international organizations, including in several executive capacities. He has also taught at universities for many years. He earned his Ph.D. in Economics at McGill University, in Montreal. He has led many national and international projects, with research teams on all continents. He has authored numerous papers and monographs, and has been the editor of influential publications and compendia for many years.