Data Science for Economics and Finance
Springer International Publishing
Title |
Data Science for Economics and Finance
|
---|---|
Published by |
Springer International Publishing, January 2021
|
DOI | 10.1007/978-3-030-66891-4 |
ISBNs |
978-3-03-066890-7, 978-3-03-066891-4
|
Editors |
Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
Country | Count | As % |
---|---|---|
Japan | 18 | 10% |
Mexico | 13 | 7% |
United States | 7 | 4% |
United Kingdom | 6 | 3% |
Venezuela, Bolivarian Republic of | 5 | 3% |
France | 4 | 2% |
South Africa | 3 | 2% |
India | 3 | 2% |
Italy | 3 | 2% |
Other | 19 | 11% |
Unknown | 99 | 55% |
Type | Count | As % |
---|---|---|
Members of the public | 158 | 88% |
Scientists | 20 | 11% |
Science communicators (journalists, bloggers, editors) | 2 | 1% |
Country | Count | As % |
---|---|---|
Unknown | 86 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 7% |
Student > Master | 5 | 6% |
Student > Bachelor | 4 | 5% |
Researcher | 4 | 5% |
Lecturer | 4 | 5% |
Other | 9 | 10% |
Unknown | 54 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 8 | 9% |
Business, Management and Accounting | 6 | 7% |
Computer Science | 5 | 6% |
Medicine and Dentistry | 2 | 2% |
Linguistics | 2 | 2% |
Other | 8 | 9% |
Unknown | 55 | 64% |