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7 Command-Line Tools for Data Science | Jeroen Janssens
Data science is OSEMN (pronounced as awesome). That is, it involves Obtaining, Scrubbing, Exploring, Modelling, and iNterpreting data. As a data scientist, I spend quite a bit of time on the command-line, especially when there’s data to be obtained, scrubbed, or explored. And I’m not alone in this. Recently, Greg Reda discussed how the classics (e.g., head, cut, grep, sed, and awk) can be used for
SQLiteã‹ã‚‰CSVファイルã«SQLを投ã’ã¦ã¿ãŸ | DevelopersIO
SQLite3.14(円周率πã¨åŒã˜ã§ã™ã!)ãŒ2016/08/08ã«ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã€‚ リリースノートã«ã‚ˆã‚‹ã¨ã€CSV仮想テーブルã«å¯¾å¿œã—ãŸã¨ã‚ã‚Šã¾ã—ãŸã®ã§ã€æ—©é€Ÿä½¿ã£ã¦ã¿ã¾ã—ãŸã€‚ Added the CSV virtual table for reading RFC 4180 formatted comma-separated value files. ã“ã®æ©Ÿèƒ½ã‚’使ã†ã¨ã€CSVå½¢å¼ã®ãƒã‚°ãƒ•ã‚¡ã‚¤ãƒ«ã«SQLã§å•ã„åˆã‚ã›ã‚‹ã¨ã„ã£ãŸã“ã¨ãŒç°¡å˜ã«ã§ãã¾ã™ã€‚ 仮想テーブルã«ã¤ã„㦠仮想テーブル(Virtual Table)ã¯SQLiteã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ç®¡ç†ã•ã‚Œã¦ã„ãªã„データを仮想的ã«ç®¡ç†ã•ã‚Œã¦ã„るよã†ã«è¦‹ã›ã‚‹ãƒ†ãƒ¼ãƒ–ルã§ã™ã€‚ 仮想テーブルã§ç®¡ç†ã•ã‚Œã¦ã„るデータã¯ã€é€šå¸¸ã®ãƒ†ãƒ¼ãƒ–ルã®ãƒ‡ãƒ¼ã‚¿ã¨åŒã˜ã‚ˆã†ã« SQL インターフェースã§æ“作ã§ãã¾ã™ã€‚ SQLite ã§ã¯ 全文検索インターフェース R-Trees
Working with CSV files
CSV files (comma-separated values) are often used to save tables of data in plain text. Following are some useful techniques for working with CSV files. You can: Highlight all text in any column. View fields (convert csv text to columns or separate lines). Navigate using the HJKL keys to go left, down, up, right by cell (hjkl work as normal). Search for text in a specific column. Sort lines by col
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GitHub - dinedal/textql: Execute SQL against structured text like CSV or TSV
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