A Practical Guide with Squirrel
Buch, Englisch, Format (B × H): 178 mm x 254 mm
ISBN: 979-8-8688-2603-0
Verlag: APRESS L.P.
Data analytics and big data are now the buzzwords of the industry. Today many businesses want to use data analytics to gain insights, but aesthetically pleasing data visualizations with agility are key for effective discovery of insights. However, many businesses lack access to data scientists for this purpose and are too sold on the idea of big data. They don’t have a data size problem; they have a data tooling problem. With the right tool and library, data analytics should feel like a cakewalk. Squirrel fills this void in the .NET ecosystem. It lets you write data pipelines in C# and F# that feel like business specifications, not code. This book is the official guide for learning Squirrel and how to use it in your domain.
What You Will Learn
• Clean messy datasets using Squirrel’s most comprehensive set of data cleanser functions.
• Use Squirrel to create data pipelines that read almost like plain English, as if you were creating an executable specification.
• Create aesthetically pleasing data visualizations using Squirrel’s built in data visualization providers.
Who This Book Is For
• .NET developers who need to do data analysis using C# or F#
• Businesses looking to simplify their data analysis
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: Introduction to Data Analysis.- Chapter 2: Meet Squirrel.- Chapter 3: Data Acquisition.- Chapter 4: Data Pre-Processing & Data Cleansing.- Chapter 5: Slicing and Dicing Data.- Chapter 6: Time Series Analysis.- Chapter 7: Data Visualization Adaptors.- Chapter 8: Putting It All Together: Some Case Studies.- Appendix A: Squirrel Cheat Sheet.- Appendix B: Integrating with Generative AI.
