{"id":5638,"date":"2018-01-25T10:34:14","date_gmt":"2018-01-25T05:04:14","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=5638"},"modified":"2024-05-03T14:25:14","modified_gmt":"2024-05-03T08:55:14","slug":"data-analytics-with-r-tableau-excel","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/data-analytics-with-r-tableau-excel\/","title":{"rendered":"Data Analytics with R, Tableau and Excel &#8211; Choose the best tool for you!"},"content":{"rendered":"<div class=\"\">\n<p>In this tutorial, we will discuss briefly about Data Analytics with R, Tableau, and Excel. We will also study the concept and major features of these tools for a proper understanding.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-60214\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel.jpg\" alt=\"Data Analytics with R, Tableau and Excel\" width=\"802\" height=\"420\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Data-Analytics-with-R-Tableau-and-Excel-520x272.jpg 520w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><\/p>\n<p>So, let&#8217;s start the tutorial on Data Analytics with Excel, R, and Tableau.<\/p>\n<h2>What is Data Analytics?<\/h2>\n<p>Data Analytics is a scientific method of interpreting and analysing the data. With the help of data analytics, organisations are able to gain insights about their product and the market.<\/p>\n<h3>Advantages of Data Analytics<\/h3>\n<ul>\n<li>Basically, it detects fraud and flaws by keeping a close vigil.<\/li>\n<li>It helps in refining financial processes by increasing visibility and granting better control.<\/li>\n<li>Data Analytics reduces risk by being predictive instead of being reactive to the\u00a0environment.<\/li>\n<li>It innovates and also creates new models for growth.<\/li>\n<li>Data Analytics helps in improving IT economics by increasing the agility and flexibility of systems.<\/li>\n<li>It reduces the cost of managing systems and operations.<\/li>\n<li>Make quicker, cost-effective decisions.<\/li>\n<li>Multiple Data Analytics tools like R, SAS or SPSS.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<h2 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Introduction to Data Analytics with R, Tableau, and Excel<\/h2>\n<p>Let&#8217;s start our tutorial with discussing about the R programming language<\/p>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">1. What is R?<\/h3>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">R is an open source tool. It is used by the Data Scientists\u00a0for developing statistical software and data analysis. R is a GNU project which is <span class=\"complexword\">similar to<\/span>\u00a0the S language. Hence, we can consider R as an alternative implementation of S.<\/p>\n<\/div>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">A C.L.I is a user interface to a computer\u2019s operating system in which the user responds to a visual prompt. Hence, R provides an open source route. One of the most important things of R is that it produces the best publication quality post. This is because R is available as free software under the terms of the <strong>Free Software Foundation\u2019s GNU<\/strong>.<\/p>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>R Applications<\/strong><\/p>\n<\/div>\n<div class=\"\">\n<ul>\n<li>Many data analysts and research programmers use R as it is the most prevalent language. Hence, one can use <a href=\"https:\/\/en.wikipedia.org\/wiki\/R_(programming_language)\">R<\/a> as a fundamental tool for finance.<\/li>\n<li>We can use R as a programming tool as it is in use by many quantitative analysts. Depending on the strategy that you might adapt, R provides help for importing data and cleaning it.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li>R also provides you with the package &#8216;<strong>Shiny<\/strong>&#8216; that allows the development of web-applications. You can embed your graphs and plots in these applications.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li>R is best for data Science because it gives a broad variety of statistical operations.R provides a robust environment for carrying out statistical computing.Since R stems from S, it can be considered as an alternate form of it.<\/li>\n<\/ul>\n<p><em><strong>Explore <a href=\"https:\/\/data-flair.training\/blogs\/data-science-tutorials-home\/\">370+ Free tutorials on Data Science<\/a> and ease your path to become a Data Scientist<\/strong><\/em><\/p>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">2. What is Tableau?<\/h3>\n<\/div>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">According to Fortune, Tableau has \u201cpioneered the concept of visual analytics\u201d.<\/p>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Nowadays, Tableau is popular in data science circles. It is an interactive data visualisation company that is based in Seattle. It <span class=\"passivevoice\">has released<\/span> its first public offering in 2013. The basic idea behind the development of Tableau software was to make <em>spreadsheets, charts and dashboards<\/em> that could be easily interacted by using GUIs.<\/p>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Clients and Products in Tableau<\/h4>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>2.1. Desktop Version<\/strong><\/p>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It <span class=\"passivevoice\">is used by<\/span> users to collect data. And on its basis, they perform queries without having to write the code. Further, one can also navigate and visualise the data <span class=\"adverb\">easily<\/span>.<\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>2.2. Tableau Server<\/strong><\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It <span class=\"passivevoice\">is used<\/span> to access the data by users of the organisation through a browser or mobile.<\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>2.3. Online Version<\/strong><\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It <span class=\"passivevoice\">is used<\/span> to call the hosted version of Tableau Server that doesn\u2019t need to be set up.<\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>2.4. Tableau Reader<\/strong><\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It <span class=\"passivevoice\">is used<\/span> to publish interactive data online.<\/p>\n<\/div>\n<div class=\"\"><strong>2.5. Public Version<\/strong><br \/>\nIt easily lets users access files saved on Tableau Desktop. Only Tableau Reader and Public are free.<\/div>\n<h3>3. What is Excel?<\/h3>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Microsoft Excel is a tool used for developing spreadsheets. Using Excel, you can <em>perform calculations on the data, data graphing, create pivot tables,<\/em> etc. If we compare excel with R and Tableau, Excel might seem outdated. Also, it\u2019s said that it is still quite popular for two reasons:<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">accessibility<\/li>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">usability<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Also, Excel helps in making presentation and reports by integrating it with MS office components. Considering how\u00a0<span class=\"adverb\">highly<\/span>\u00a0popular the Office suite is, this is an advantage.<\/p>\n<\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We can also use excel for<em> managing, manipulating and presenting data<\/em> as it offers <span class=\"complexword\">a number of<\/span> functions for statistical analysis:<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">descriptive<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">inferential<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It provides a standard spreadsheet that you can use for a variety of tasks like updating databases. Excel can also be useful in collating data for analysis using <span class=\"complexword\">a number of<\/span> other software.<\/p>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>Excel Features<\/strong><\/p>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">For data analysis, four features of Excel are particularly useful as it is having <span class=\"complexword\">a number of<\/span> built-in statistical functions, which includes tests. Also, it offers an add-in<strong> Data Analysis ToolPak<\/strong>. At last, pivot tables offer an easy way to generate summaries and organise data for tasks as they are very beneficial for<em> carrying out cross-tabulations, creating contingency tables<\/em>.<\/div>\n<\/div>\n<h2>Comparing Data Analysis Tools: R, Tableau, and Excel<\/h2>\n<div>\n<p>Let&#8217;s delve into the realm of data analysis with R, Tableau, and Excel. These tools offer distinct advantages and functionalities, catering to different needs in the field of data science. R, an open-source tool, serves as the backbone for statistical software development and data analysis. Its versatility and robustness make it a preferred choice among data analysts and researchers, offering a wide range of statistical operations and a conducive environment for statistical computing. Additionally, R&#8217;s integration with various packages facilitates the development of web applications, further enhancing its utility in the data science domain.<\/p>\n<p>Moving on to Tableau, it stands as a pioneer in the realm of visual analytics, revolutionizing how data is perceived and interpreted. With its intuitive interface and interactive features, Tableau empowers users to create dynamic dashboards and visualizations, enabling deeper insights into data patterns and trends. Whether it&#8217;s the desktop version for data collection and analysis or the online version for seamless accessibility, Tableau offers a comprehensive suite of tools to meet diverse analytical needs.<\/p>\n<p>Let&#8217;s now shift our focus to Excel, a ubiquitous tool known for its accessibility and usability in data management and analysis. One of the reasons for Excel\u2019s popularity is its integration with the Microsoft Office suite. From performing calculations and creating pivot tables to managing and presenting data, Excel offers a versatile platform for various analytical tasks, complemented by its built-in statistical functions and analysis tools.<\/p>\n<\/div>\n<div class=\"\">\n<h2>Summary<\/h2>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We have studied Data Analytics with R, Tableau, and Excel. I hope this blog helped you in understanding Data Analytics. 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We will also study the concept and major features of these tools for a proper understanding. So, let&#8217;s start&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":60214,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[20264,3292,20263,11151],"class_list":["post-5638","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","tag-advantages-of-data-analytics","tag-data-analytics-with-r","tag-excel-features","tag-r-applications"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Analytics with R, Tableau and Excel - Choose the best tool for you! - DataFlair<\/title>\n<meta name=\"description\" content=\"Explore the concept of Data Analytics with R, Tableau and Excel. 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