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Rismon Hasiholan
MYSQL AND DATA SCIENCE: QUERIES AND VISUALIZATION WITH PYTHON GUI
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4478826MYSQL AND DATA SCIENCE: QUERIES AND VISUALIZATION WITH PYTHON GUIhttps://www.gandhi.com.mx/mysql-and-data-science--queries-and-visualization-with-python-gui-1230005625420/phttps://gandhi.vtexassets.com/arquivos/ids/4131052/image.jpg?v=638443299964800000https://gandhi.vtexassets.com/arquivos/ids/4126786/image.jpg?v=638443292693400000205205MXNBALIGE PUBLISHINGInStock/Ebooks/<p>In this project, you will write Python script to create every table and insert rows of data into each of them. You will develop GUI with PyQt5 to each table in the database. You will also create GUI to plot case distribution of film release year, film rating, rental duration, and categorize film length; plot rating variable against rental_duration variable in stacked bar plots; plot length variable against rental_duration variable in stacked bar plots; read payment table; plot case distribution of Year, Day, Month, Week, and Quarter of payment; plot which year, month, week, days of week, and quarter have most payment amount; read film list by joining five tables: category, film_category, film_actor, film, and actor; plot case distribution of top 10 and bottom 10 actors; plot which film title have least and most sales; plot which actor have least and most sales; plot which film category have least and most sales; plot case distribution of top 10 and bottom 10 overdue costumers; plot which customer have least and most overdue days; plot which store have most sales; plot average payment amount by month with mean and EWM; and plot payment amount over June 2005.</p><p>This project uses the Sakila sample database which is a fictitious database designed to represent a DVD rental store. The tables of the database include film, film_category, actor, film_actor, customer, rental, payment and inventory among others. You can download the MySQL from https://dev.mysql.com/doc/sakila/en/.</p>...4510601MYSQL AND DATA SCIENCE: QUERIES AND VISUALIZATION WITH PYTHON GUI205205https://www.gandhi.com.mx/mysql-and-data-science--queries-and-visualization-with-python-gui-1230005625420/phttps://gandhi.vtexassets.com/arquivos/ids/4131052/image.jpg?v=638443299964800000https://gandhi.vtexassets.com/arquivos/ids/4126786/image.jpg?v=638443292693400000InStockMXN99999DIEbook20221230005625420_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1230005625420_<p>In this project, you will write Python script to create every table and insert rows of data into each of them. You will develop GUI with PyQt5 to each table in the database. You will also create GUI to plot case distribution of film release year, film rating, rental duration, and categorize film length; plot rating variable against rental_duration variable in stacked bar plots; plot length variable against rental_duration variable in stacked bar plots; read payment table; plot case distribution of Year, Day, Month, Week, and Quarter of payment; plot which year, month, week, days of week, and quarter have most payment amount; read film list by joining five tables: category, film_category, film_actor, film, and actor; plot case distribution of top 10 and bottom 10 actors; plot which film title have least and most sales; plot which actor have least and most sales; plot which film category have least and most sales; plot case distribution of top 10 and bottom 10 overdue costumers; plot which customer have least and most overdue days; plot which store have most sales; plot average payment amount by month with mean and EWM; and plot payment amount over June 2005.</p><p>This project uses the Sakila sample database which is a fictitious database designed to represent a DVD rental store. The tables of the database include film, film_category, actor, film_actor, customer, rental, payment and inventory among others. You can download the MySQL from https://dev.mysql.com/doc/sakila/en/.</p>1230005625420_BALIGE PUBLISHINGlibro_electonico_1230005625420_1230005625420Rismon HasiholanInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/f2ca928b-958d-498f-bb70-f76c6615d8f6-epub-6700d02e-8efb-4cc1-a1f1-3e3441a7e5b1.epub2022-06-19T00:00:00+00:00BALIGE PUBLISHING