By Deborah Nolan,Duncan Temple Lang
Effectively entry, remodel, manage, Visualize, and cause approximately information and Computation
Data technology in R: A Case stories method of Computational Reasoning and challenge Solving illustrates the main points desirous about fixing actual computational difficulties encountered in information research. It unearths the dynamic and iterative procedure wherein information analysts technique an issue and cause approximately alternative ways of imposing recommendations.
The book’s selection of tasks, complete pattern recommendations, and follow-up workouts surround sensible themes bearing on information processing, together with:
- Non-standard, complicated facts codecs, corresponding to robotic logs and e mail messages
- Text processing and ordinary expressions
- Newer applied sciences, equivalent to internet scraping, net providers, Keyhole Markup Language (KML), and Google Earth
- Statistical tools, corresponding to class timber, k-nearest buddies, and naïve Bayes
- Visualization and exploratory info analysis
- Relational databases and based question Language (SQL)
- Algorithm implementation
- Large information and efficiency
Suitable for self-study or as supplementary studying in a statistical computing path, the publication permits teachers to include fascinating difficulties into their classes in order that scholars achieve helpful event and knowledge technology talents. scholars the way to gather and paintings with unstructured or semistructured information in addition to tips on how to slender down and punctiliously body the questions of curiosity in regards to the data.
Blending computational info with statistical and knowledge research techniques, this ebook presents readers with an knowing of the way expert information scientists take into consideration day-by-day computational projects. it's going to increase readers’ computational reasoning of real-world info analyses.
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Extra resources for Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) by Deborah Nolan,Duncan Temple Lang