{"product_id":"r-for-data-analysis-in-easy-steps","title":"R for Data Analysis in easy steps","description":"\u003cp\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003eThe R language is widely used by statisticians for data\r\nanalysis, and the popularity of R programming has therefore increased\r\nsubstantially in recent years. The emerging Internet of Things (IoT) gathers\r\nincreasing amounts of data that can be analyzed to gain useful insights into\r\ntrends. \u003co:p\u003e\u003c\/o:p\u003e\u003c\/span\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003eR for Data Analysis in easy steps, 2\u003csup\u003end\u003c\/sup\u003e\r\nedition\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003e has an easy-to-follow style that will appeal\r\nto anyone who wants to produce graphic visualizations to gain insights from\r\ngathered data. The book begins by explaining core programming principles\r\nof the R programming language, which stores data in “vectors” from which simple\r\ngraphs can be plotted. Next, it describes how to create “matrices” to store and\r\nmanipulate data from which graphs can be plotted to provide better insights.\r\nThis book then demonstrates how to create “data frames” from imported data\r\nsets, and how to employ the “Grammar of Graphics” to produce advanced\r\nvisualizations that can best illustrate useful insights from your data. \u003co:p\u003e\u003c\/o:p\u003e\u003c\/span\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003eR for Data Analysis in easy steps\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003e, 2\u003csup\u003end\u003c\/sup\u003e edition contains separate chapters on the major\r\nfeatures of the R programming language. There are complete example programs\r\nthat demonstrate how to create Line graphs, Bar charts, Histograms, Scatter\r\ngraphs, Box plots, and more. The code for each R script is listed, together\r\nwith screenshots that illustrate the actual output when that script has been\r\nexecuted. The free, downloadable example R code is provided for clearer\r\nunderstanding. By the end of this book you will have gained a sound understanding\r\nof R programming, and be able to write your own scripts that can be executed to\r\nproduce graphic visualizations for data analysis. You need have no previous\r\nknowledge of any programming language, so it's ideal for the newcomer to\r\ncomputer programming.\u003co:p\u003e\u003c\/o:p\u003e\u003c\/span\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cspan style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"\u003eUpdated for the latest version of R. \u003co:p\u003e\u003c\/o:p\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"None","offers":[{"title":"Paperback","offer_id":46168723751089,"sku":"9781840789980","price":29.5,"currency_code":"CAD","in_stock":true},{"title":"Kobo eBook","offer_id":46168723783857,"sku":"a50dda90-20dd-34f2-8470-887dff0b37d3","price":24.06,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_b74de74c-4e9b-4d0f-a894-9dd732454340.jpg?v=1763569672","url":"https:\/\/www.indigo.ca\/products\/r-for-data-analysis-in-easy-steps","provider":"Indigo","version":"1.0","type":"link"}