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R Programming in Data Science - High Velocity Data\Exercise Files\R_Programming_Data_Science.zip |
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R Programming in Data Science - High Velocity Data\1.Introduction\01.How can you use R with high-velocity data.mp4
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R Programming in Data Science - High Velocity Data\1.Introduction\01.How can you use R with high-velocity data.en.srt |
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R Programming in Data Science - High Velocity Data\3.2. Using R to Acquire High-Velocity Data\12.Interrupt-driven data acquisition with R.mp4
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R Programming in Data Science - High Velocity Data\3.2. Using R to Acquire High-Velocity Data\11.Polling for data in R.mp4
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R Programming in Data Science - High Velocity Data\3.2. Using R to Acquire High-Velocity Data\11.Polling for data in R.en.srt |
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R Programming in Data Science - High Velocity Data\3.2. Using R to Acquire High-Velocity Data\12.Interrupt-driven data acquisition with R.en.srt |
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R Programming in Data Science - High Velocity Data\7.Conclusion\29.Summary.mp4
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R Programming in Data Science - High Velocity Data\7.Conclusion\29.Summary.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\20.Combining optimizations.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\20.Combining optimizations.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\19.Avoid copying data.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\18.Optimizing if... then... else with ifelse.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\22.Using microbenchmark to check results.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\19.Avoid copying data.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\18.Optimizing if... then... else with ifelse.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\21.Use RCPP to speed up functions.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\21.Use RCPP to speed up functions.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\17.Improving the speed of loops.mp4
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\17.Improving the speed of loops.en.srt |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data\22.Using microbenchmark to check results.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\26.Use Shiny for interactive dashboards.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\28.Cran task view for WebTechnologies.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\28.Cran task view for WebTechnologies.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\24.Use R Markdown for static dashboards.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\23.Static and dynamic reports.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\27.Use plumber to create APIs.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\24.Use R Markdown for static dashboards.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\27.Use plumber to create APIs.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\25.Flexdashboard and other enhancements for static reports.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\25.Flexdashboard and other enhancements for static reports.en.srt |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\23.Static and dynamic reports.mp4
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data\26.Use Shiny for interactive dashboards.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\06.Working with near real-time data.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\07.Handling near real-time data with R.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\10.Setting a default CRAN mirror.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\02.Perspectives on high-velocity data.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\02.Perspectives on high-velocity data.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\03.Simulating high-velocity data.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\10.Setting a default CRAN mirror.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\08.Concepts of real-time data.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\06.Working with near real-time data.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\08.Concepts of real-time data.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\05.Handling batch data with R.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\04.Concepts of batch data.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\03.Simulating high-velocity data.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\09.Handling real-time data with R.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\07.Handling near real-time data with R.mp4
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\04.Concepts of batch data.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\05.Handling batch data with R.en.srt |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data\09.Handling real-time data with R.en.srt |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\15.Rprof.en.srt |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\16.microbenchmark.en.srt |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\15.Rprof.mp4
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\13.Tools.mp4
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\14.Profvis.mp4
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\13.Tools.en.srt |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\14.Profvis.en.srt |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R\16.microbenchmark.mp4
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R Programming in Data Science - High Velocity Data\Exercise Files |
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R Programming in Data Science - High Velocity Data\1.Introduction |
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R Programming in Data Science - High Velocity Data\3.2. Using R to Acquire High-Velocity Data |
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R Programming in Data Science - High Velocity Data\7.Conclusion |
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R Programming in Data Science - High Velocity Data\5.4. Optimizing R to Process High-Velocity Data |
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R Programming in Data Science - High Velocity Data\6.5. Using R to Present High-Velocity Data |
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R Programming in Data Science - High Velocity Data\2.1. Problems and Opportunities with High-Velocity Data |
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R Programming in Data Science - High Velocity Data\4.3. Profiling Tools for R |
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R Programming in Data Science - High Velocity Data |
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