SQLではじめるデータ分析 ―クエリで行う前処理、時系列解析、コホート分析、テキスト分析、異常検知 [[エスキューエル デ ハジメル データ ブンセキ ―クエリ デ オコナウ マエショリ ジケイレツ カイセキ コホート ブンセキ テキスト ブンセキ イジョウ ケンチ]]

"With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your w...

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Detalles Bibliográficos
Otros Autores: Tanimura, Cathy, author (author), Ōhashi, Shin'ya, translator, editor (translator), Shimada, Takeshi (Computer engineer), translator, editor, Kinoshita, Tetsuya, 1967- translator
Formato: Libro electrónico
Idioma:Japonés
Publicado: Tōkyō-to Shinjuku-ku : Orairī Japan 2023.
Edición:Shohan
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009740934106719
Descripción
Sumario:"With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways-- as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis ; Perform time series analysis using SQL's date and time manipulations ; Use cohort analysis to investigate how groups change over time ; Use SQL's powerful functions and operators for text analysis ; Detect outliers in your data and replace them with alternate values ; Establish causality using experiment analysis, also known as A/B testing.--
Descripción Física:1 online resource (352 pages)