{"id":5667,"date":"2018-01-04T13:10:24","date_gmt":"2018-01-04T07:40:24","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=5667"},"modified":"2021-08-25T17:25:47","modified_gmt":"2021-08-25T11:55:47","slug":"bar-chart-in-r","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/","title":{"rendered":"Bar Chart and Histogram in R | An in-depth tutorial for Beginners"},"content":{"rendered":"<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Now, we will discuss the most popular way of representing the data, that is, in the form of a bar chart and histogram. First, we will explore the concept of data visualization and data set, then learn about the central tendency measures and also understand the types of bar charts with examples.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-62227\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1.jpg\" alt=\"Bar-Chart-and-Histogram-in-R\" width=\"802\" height=\"420\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1-520x272.jpg 520w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><\/p>\n<p>So, let&#8217;s quickly start the tutorial.<\/p>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\n<h2 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">What is Data Visualization in R?<\/h2>\n<\/div>\n<\/div>\n<div class=\"\">\n<p>Generally, R has the ability to create data visualizations with a couple of lines of code.<\/p>\n<ul>\n<li>It is an art of turning numbers into a useful piece of knowledge.<\/li>\n<li>Basically, data visualization is the process of <em>presenting data through pictures and shapes.<\/em><\/li>\n<li>Also, it can <span class=\"passivevoice\">be considered<\/span> as a modern <span class=\"complexword\">equivalent<\/span> of visual communication. The goal is to communicate information to users.<\/li>\n<li>It <span class=\"passivevoice\">is said<\/span> that<em><strong> one meaningful picture is powerful than a thousand words!<\/strong><\/em><\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<p>Data visualization can help us in the following ways:<\/p>\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Identify areas that need attention or improvement.<\/li>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Clarify which factors influence customer behaviour.<\/li>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Help you understand the right placement of the products.<\/li>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Predict sales volume.<\/li>\n<\/ul>\n<\/div>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><em><b>Get a deep insight into <a href=\"https:\/\/data-flair.training\/blogs\/data-visualization-in-r\/\">Data Visualization in R<\/a><\/b><\/em><\/p>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Data Set in R<\/h3>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">A data set\u00a0<span class=\"passivevoice\">is defined<\/span> as the field in the following data. Thus, it provides <span class=\"complexword\">a number of<\/span> sample data sets as there are thousands of data sets present. We can use them to practice and get better at machine learning.<\/p>\n<\/div>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Although, in <em>U.C.I Machine Learning Repository<\/em>, most of data sets are hosted for free. These data sets are very useful as they are small, well behaved and well understood.<\/p>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\n<ul>\n<li>It can download easily and fast.<\/li>\n<li>One can fit them into memory easily.<\/li>\n<li>You can run algorithms on them quickly.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Central Tendency Measures<\/h3>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It is a value which can best describe an entire set of observations. It can <span class=\"passivevoice\">be measured by<\/span>:<\/div>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>Mean<\/strong> &#8211; A<span class=\"_Tgc _s8w _y9e\">dd up the values in the dataset and then divide by the number of values that you added.<\/span><\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>Median<\/strong> &#8211; L<span class=\"_Tgc _s8w _y9e\">ist the values of the data set in numerical order and identify which value appears in the middle of the list<\/span>.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>Mode<\/strong> &#8211; Measure the values that occur most frequently.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<h2 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Bar Chart and Histogram in R<\/h2>\n<\/div>\n<div class=\"\">\n<p>Let&#8217;s study about the bar chart and histogram in R, in detail.<\/p>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">What is Bar Chart?<\/h3>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Basically, we use the bar chart in R to display and compare the density, frequency. Also, there are several variations of the standard bar chart including:<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-62228 size-medium\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-300x300.jpg\" alt=\"Types-of-Bar-Chart-in-R\" width=\"300\" height=\"300\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-300x300.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-150x150.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-160x160.jpg 160w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-320x320.jpg 320w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2-520x520.jpg 520w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Types-of-Bar-Chart-in-R-01-2.jpg 600w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<\/div>\n<div class=\"\">Also, they are useful for displaying data and that data <span class=\"passivevoice\">is classified<\/span> into nominal or ordinal categories.<\/div>\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">1. Vertical and Horizontal Bar Chart<\/h4>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">In a horizontal bar chart, longer the bar, larger is the category. While in a vertical bar chart, taller the bar, larger is the category. In order to effectively present data in data categories that possess long titles, we make use of these bar graphs.<\/p>\n<\/div>\n<h4>2. Grouped Bar Chart<\/h4>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">These bar charts are used to show information about different sub-groups of the main categories. Each sub-group is represented by a separate bar. Furthermore, these bars are coloured and shaded in a way that differentiates them from the other categories.<\/p>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">3. Stacked Bar Chart<\/h4>\n<\/div>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">They are similar to group bar charts as we use these charts to display information about the sub-groups that make up the different categories.<\/p>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\n<p><em><strong>Wait! Have you checked &#8211; <a href=\"https:\/\/data-flair.training\/blogs\/descriptive-statistics-in-r\/\">Descriptive Statistics in R<\/a><\/strong><\/em><\/p>\n<h3>What is Histogram?<\/h3>\n<p>A histogram in R is the best choice for visualizing central tendency of data.<\/p>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Basically, the histogram is a special form of bar chart.<\/p>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">In a bar chart, the length of the bar indicates the size of the category but in a histogram, it is the area of the bar that is proportional to the size of the category.<\/p>\n<\/div>\n<h4>Parts of Histogram<\/h4>\n<ul>\n<li><strong>Title &#8211;<\/strong> The title represents the information that is included in the histogram.<\/li>\n<li><strong>X-axis &#8211;<\/strong> The X-axis or the horizontal axis represents the intervals under which the independent measurements lie.<\/li>\n<li><strong>Y-axis &#8211;<\/strong> The Y-axis or the vertical axis provide the number of times a value occurs in the interval that is dependent on the X-axis.<\/li>\n<li><strong>Bars &#8211;<\/strong> The height of the bars represent the number of times the value occurs in the interval. The histograms possessing equal bins should have a uniform width across all the bars.<\/li>\n<\/ul>\n<p><em><strong>You must definitely <a href=\"https:\/\/data-flair.training\/blogs\/save-graphs-to-files-in-r\/\">learn to save graphs to files in R<\/a><\/strong><\/em><\/p>\n<h4>Why are Histograms important?<\/h4>\n<p>Histograms provide us with a visual representation of the data. A large amount of data, as well as the frequency of the data values, is represented by the histogram. A histogram determines the median and distribution of the data.<\/p>\n<h3>Different Distributions of Histograms:<\/h3>\n<p><strong>1. Normal Distribution<\/strong><\/p>\n<p>In normal distribution histogram, the data on one side of the average is the same as another side. Normal distribution is also known as Gaussian Distribution.<\/p>\n<p><strong>2. Bimodal Distribution<\/strong><\/p>\n<p>There are two peaks in a bimodal distribution. Data, in this case, is separated and analyzed in the form of two normal distributions.<\/p>\n<p><strong>3. Right Skewed Distribution<\/strong><\/p>\n<p>Also known as a positively skewed distribution, a large number of data values occur on the left side with very few data points on the right side.<\/p>\n<p>This type of distribution takes place when the data has a range boundary on the left side of the histogram.<\/p>\n<p><strong>4. Left Skewed Distribution<\/strong><\/p>\n<p>This type of distribution is also called negative skew. In the left-side distribution, a large number of data values occur on the right side with very few points occurring on the left side. A left skewed histogram occurs when the data has a ranged boundary on the right side of the histogram.<\/p>\n<p><strong>5. Random Distribution<\/strong><\/p>\n<p>A random distribution histogram does not possess a structured pattern and has several peaks in it. In the case of a randomly distributed histogram, it can be the case that several data points are combined. Data is, therefore, separated and analyzed.<\/p>\n<div class=\"\">\n<p><strong>Major Difference between Histogram and Bar Chart:<\/strong><\/p>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">In a histogram, both the x-axis and y-axis have a scale while in a bar chart, only the y-axis has a scale.<\/p>\n<h2 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Summary<\/h2>\n<\/div>\n<div class=\"\">\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We have studied about data visualization, dataset and central tendency measures in R. We also looked at types of bar chart and histogram in R, in detail. As we saw, bar charts and histograms helps us to understand any data in a precise and informative way. Therefore, they are very useful in almost every sector.<\/p>\n<p><em><strong>The next stop in our R programming journey is <a href=\"https:\/\/data-flair.training\/blogs\/r-lattice-package\/\">Introduction to R Lattice Package<\/a><\/strong><\/em><\/p>\n<p class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">If you have any queries regarding the tutorial, feel free to ask in the comment section.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Now, we will discuss the most popular way of representing the data, that is, in the form of a bar chart and histogram. First, we will explore the concept of data visualization and data&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":62227,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[1635,2423,20513,20512,13714],"class_list":["post-5667","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","tag-bar-chart-in-r","tag-central-tendency-measures","tag-data-set-in-r","tag-histogram-in-r","tag-stacked-bar-chart-in-r"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Bar Chart and Histogram in R | An in-depth tutorial for Beginners - DataFlair<\/title>\n<meta name=\"description\" content=\"Learn everything about Data Visualization, Data Set, Central Tendency Measures, Histogram and Bar Chart in R for visualising the Central Tendency of data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bar Chart and Histogram in R | An in-depth tutorial for Beginners - 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DataFlair","description":"Learn everything about Data Visualization, Data Set, Central Tendency Measures, Histogram and Bar Chart in R for visualising the Central Tendency of data.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/","og_locale":"en_US","og_type":"article","og_title":"Bar Chart and Histogram in R | An in-depth tutorial for Beginners - DataFlair","og_description":"Learn everything about Data Visualization, Data Set, Central Tendency Measures, Histogram and Bar Chart in R for visualising the Central Tendency of data.","og_url":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-01-04T07:40:24+00:00","article_modified_time":"2021-08-25T11:55:47+00:00","og_image":[{"width":802,"height":420,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/2c58ecb4f73a39f0ef993f1ddfcd7b89"},"headline":"Bar Chart and Histogram in R | An in-depth tutorial for Beginners","datePublished":"2018-01-04T07:40:24+00:00","dateModified":"2021-08-25T11:55:47+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/"},"wordCount":1084,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/#primaryimage"},"thumbnailUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Bar-Chart-in-R-Histogram-in-R-01-1-1.jpg","keywords":["Bar chart in R","Central Tendency Measures","Data Set in R","Histogram in R","Stacked Bar Chart in R"],"articleSection":["R Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/","url":"https:\/\/data-flair.training\/blogs\/bar-chart-in-r\/","name":"Bar Chart and Histogram in R | An in-depth tutorial for Beginners - 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