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Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence - by Manuel González Canché (Paperback)

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence - by  Manuel González Canché (Paperback) - 1 of 1
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Highlights

  • Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data.
  • Author(s): Manuel González Canché
  • 250 Pages
  • Mathematics, Applied

Description



Book Synopsis



Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools--just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W)
Weight: .99 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 250
Genre: Mathematics
Sub-Genre: Applied
Publisher: Morgan Kaufmann Publishers
Format: Paperback
Author: Manuel González Canché
Language: English
Street Date: December 1, 2025
TCIN: 1001845296
UPC: 9780443219610
Item Number (DPCI): 247-11-1151
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 0.992 pounds
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