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E-BooksPoint of Sale Analyzing Media Retail






Point of Sale Analyzing Media Retail
Daniel Herbert, "Point of Sale: Analyzing Media Retail"
English | ISBN: 0813595525 | 2019 | 300 pages | PDF | 2 MB
Point of Sale offers the first significant attempt to center media retail as a vital component in the study of popular culture. It brings together fifteen essays by top media scholars with their fingers on the pulse of both the changes that foreground retail in a digital age and the history that has made retail a fundamental part of the culture industries. The book reveals why retail matters as a site of transactional significance to industries as well as a crucial locus of meaning and interactional participation for consumers. In addition to examining how industries connect books, DVDs, video games, lifestyle products, toys, and more to consumers, it also interrogates the changes in media circulation driven by the collision of digital platforms with existing retail institutions. By grappling with the contexts in which we buy media, uncovers the underlying tensions that define the contemporary culture industries.



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E-BooksSSD for R An R Package for Analyzing Single-Subject Data, 2nd Edition





SSD for R An R Package for Analyzing Single-Subject Data, 2nd Edition
English | 2021 | ISBN: 0197582753 | 225 pages | True PDF EPUB | 47.27 MB
Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject data analysis and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R--the open-source statistical programming language that was written by the book's authors.



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E-BooksInnovative Web Applications for Analyzing Traffic Operations





Innovative Web Applications for Analyzing Traffic Operations
Innovative Web Applications for Analyzing Traffic Operations by Natasha Petrovska
English | PDF | 2016 | 59 Pages | ISBN : 3319333186 | 2.9 MB
In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures.



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Video TrainingMark Nunnikhoven - Analyzing Text on AWS with Amazon Comprehend





Mark Nunnikhoven - Analyzing Text on AWS with Amazon Comprehend
Duration: 2h 08m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 272 MB | Language: English
Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.



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Video TrainingUdemy - Analyzing and Transforming Data with Power BI





Udemy - Analyzing and Transforming Data with Power BI
Instructors: Bluelime Learning Solutions
2 sections * 14 lectures * 1h 15m total length
Video: MP4 1280x720 44 KHz | English + Sub



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Video TrainingUdemy - Mining and Analyzing LinkedIn Data





Udemy - Mining and Analyzing LinkedIn Data
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.29 GB | Duration: 6h 18m
Apply Data Science and Artificial Intelligence techniques to extract and analyze your LinkedIn network



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E-BooksAnalyzing Baseball Data with R





Analyzing Baseball Data with R
Analyzing Baseball Data with R By Albert, Jim; Marchi, Max
2013 | 349 Pages | ISBN: 1466570237 | PDF | 4 MB
Front Cover; Contents; Preface; Chapter 1 - The Baseball Datasets; Chapter 2 - Introduction to R; Chapter 3 - Traditional Graphics; Chapter 4 - The Relation Between Runs and Wins; Chapter 5 - Value of Plays Using Run Expectancy; Chapter 6 - Advanced Graphics; Chapter 7 - Balls and Strikes Effects; Chapter 8 - Career Trajectories; Chapter 9 - Simulation; Chapter 10 - Exploring Streaky Performances; Chapter 11 - Learning About Park Effects by Database Management Tools; Chapter 12 - Exploring Fielding Metrics with Contributed R Packages; Appendix A - Retrosheet Files Reference.Appendix B - Accessing and Using MLBAM Gameday and PITCHf/x DataBibliography; Back Cover.The Baseball Datasets Introduction The Lahman Database: Season-by-Season DataRetrosheet Game-by-Game DataRetrosheet Play-by-Play Data Pitch-by-Pitch DataIntroduction to R Introduction Installing R and RStudio VectorsObjects and Containers in R Collection of R Commands Reading and Writing Data in R Data Frames Packages Splitting, Applying, and Combining DataTraditional Graphics Introduction Factor Variable Saving Graphs Dot Descriptions Numeric Variable: Stripchart and Histogram Two Numeric Variables A Numeric Variable and a Factor Variable Comparing Ruth, Aaron, Bonds, and A-RodThe 1998 Home Run Race.



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Video TrainingUdemy - Fundamentals of Analyzing Real Estate Investments





Udemy - Fundamentals of Analyzing Real Estate Investments
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.98 GB | Duration: 18h 43m
Learn professional investment analysis techniques for real estate investing in residential and commercial properties



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Video TrainingUdemy - Analyzing Time On Price Charts





Udemy - Analyzing Time On Price Charts
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 656 MB | Duration: 1h 13m
Realistic Use Of Time Analysis Tools



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Video TrainingUdemy - Understanding and Analyzing Data Streams in NTFS





Udemy - Understanding and Analyzing Data Streams in NTFS
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 7 lectures (31m) | Size: 282.4 MB
Adding and Analyzing Resident and Non-Resident Data in NTFS Data Streams and the Master File Table using Hex Editors



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