From social science to data science : key data collection and analysis skills in Python /: key data collection and analysis skills in Python. (2022)

• Record Type: Book
• Further Information: Note: Bernie Hogan.
• Authors: Hogan, Bernie
• Contents: Part I: Thinking Pragmatically; Chapter 1. Introduction; Chapter 2. The Series; Chapter 3. The DataFrame; Part II: Accessing and Converting Data; Chapter 4. File Types; Chapter 5. Merging and Grouping Data; Chapter 6. Accessing the Web; Chapter 7. Accessing APIs; Part III. Interpreting Data: Expectations versus Observations; Chapter 8. Research Questions; Chapter 9. Visualising Expectations; Part IV: Social Data Science in Practice: Four Approaches; Chapter 10. Cleaning Data; Chapter 11. Introducing Natural Language Processing; Chapter 12. Introducing Time Series Data; Chapter 13. Introducing Network Analysis; Chapter 14. Introducing Geographic Information Systems; Chapter 15. Conclusion; About the Author
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 300.72; Social sciences -- Research -- Data processing; Python (Computer program language)
• Languages: English
• ISBNs: 9781529737172
• Related ISBNs: 9781529736281
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.