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开源软件名称(OpenSource Name):BinRoot/Haskell-Data-Analysis-Cookbook开源软件地址(OpenSource Url):https://github.com/BinRoot/Haskell-Data-Analysis-Cookbook开源编程语言(OpenSource Language):Haskell 89.7%开源软件介绍(OpenSource Introduction):Haskell-Data-Analysis-CookbookThis is the accompanying source code for Haskell Data Analysis Cookbook. The latest source code is available on GitHub: https://github.com/BinRoot/Haskell-Data-Analysis-Cookbook SummaryChapter 1The Hunt for Data, identifies core approaches in reading data from various external sources such as CSV, JSON, XML, HTML, MongoDB, and SQLite. Chapter 2Integrity and Inspection, explains the importance of cleaning data through recipes about trimming whitespace, lexing, and regular expression matching. Chapter 3The Science of Words, introduces common string manipulation algorithms including base conversions, substring matching, and computing the edit distance. Chapter 4Data Hashing, covers essential hashing functions such as MD5, SHA256, GeoHashing, and perceptual hashing. Chapter 5A Dance with Trees, establishes an understanding of the tree data structure through examples including tree traversals, balancing trees, and Huffman coding. Chapter 6Graph Fundamentals, manifests rudimentary algorithms for graphical networks such as graph traversals, visualization, and maximal clique detection. Chapter 7Statistics and Analysis, begins the investigation of important data analysis techniques encompassing regression algorithms, Bayesian networks, and neural networks. Chapter 8Clustering and Classification, involves quintessential analysis methods involving k-means clustering, hierarchical clustering, constructing decision trees, and implementing the k-Nearest Neighbors classifier. Chapter 9Parallel and Concurrent Design, introduces advance topics in Haskell such as forking IO actions, mapping over lists in parallel, and benchmarking performance. Chapter 10Real-time Fugue, incorporates streamed data interactions from Twitter, Internet Relay Chat (IRC), and sockets. Chapter 11Stunning Visuals, comprises of sundry approaches to plotting graphs including line charts, bar graphs, scatter plots, and D3.js visualizations. Chapter 12The Final Exporting, concludes the book with an enumeration of algorithms for exporting data to CSV, JSON, HTML, MongoDB, and SQLite. Artwork AttributionIllustrations by Lonku. |
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