{"id":14106,"date":"2020-04-27T17:44:33","date_gmt":"2020-04-27T12:14:33","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/"},"modified":"2024-09-03T14:54:25","modified_gmt":"2024-09-03T09:24:25","slug":"introduction-descriptive-statistics","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/","title":{"rendered":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics"},"content":{"rendered":"\n<p><em>Contributed by: Prashanth Ashok <br>LinkedIn Profile:<a rel=\"noreferrer noopener nofollow\" aria-label=\" https:\/\/www.linkedin.com\/in\/prashanth-a-bb122425\/  (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/prashanth-a-bb122425\/\" target=\"_blank\"> https:\/\/www.linkedin.com\/in\/prashanth-a-bb122425\/ <\/a><\/em><\/p>\n\n\n\n<p>Data availability in today\u2019s world is a big boon. However, analyzing them to our needs is the biggest challenge. To be able to analyze the vast resources of data, understanding and describing the data is crucial.<\/p>\n\n\n\n<p>There are different methods through which we can describe data. Statistics, a branch of mathematics, helps us while collecting, organizing, <a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-data-visualization\/\">visualizing and interpreting data<\/a>.<\/p>\n\n\n\n    <div class=\"courses-cta-container\">\n        <div class=\"courses-cta-card\">\n            <div class=\"courses-cta-header\">\n                <div class=\"courses-learn-icon\"><\/div>\n                <span class=\"courses-learn-text\">Academy Pro<\/span>\n            <\/div>\n            <p class=\"courses-cta-title\">\n                <a href=\"https:\/\/www.mygreatlearning.com\/academy\/premium\/statistics-for-data-science-analytics\" class=\"courses-cta-title-link\">Statistics Course for Data Science and Analytics<\/a>\n            <\/p>\n            <p class=\"courses-cta-description\">Learn statistical methods crucial for data science, including regression and hypothesis testing, to extract valuable insights from data.<\/p>\n            <div class=\"courses-cta-stats\">\n                <div class=\"courses-stat-item\">\n                    <div class=\"courses-stat-icon courses-user-icon\"><\/div>\n                    <span>3.5 Hrs<\/span>\n                <\/div>\n                <div class=\"courses-stat-item\">\n                    <div class=\"courses-stat-icon courses-star-icon\"><\/div>\n                    <span>40 Coding Exercises<\/span>\n                <\/div>\n            <\/div>\n            <a href=\"https:\/\/www.mygreatlearning.com\/academy\/premium\/statistics-for-data-science-analytics\" class=\"courses-cta-button\">\n                Learn Statistics for Data Science\n                <div class=\"courses-arrow-icon\"><\/div>\n            <\/a>\n        <\/div>\n    <\/div>\n\n\n\n<p>In this blog, we shall aim to understand the description of any data using statistical concepts. This involves the following questions:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"#whatisdesciptivestatistics\">What is Descriptive Statistics?<\/a><\/li>\n\n\n\n<li><a href=\"#typesofdescriptivestatistics\">Types of Descriptive Statistics<\/a>\n<ul class=\"wp-block-list\">\n<li><a href=\"#measuresofcentraltendency\">Measures of Central Tendency<\/a><\/li>\n\n\n\n<li><a href=\"#measuresofdispersion\">Measures of Dispersion<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#skewness\">Skewness<\/a><\/li>\n\n\n\n<li><a href=\"#kurtosis\">Kurtosis<\/a><\/li>\n\n\n\n<li><a href=\"#associationbetweenvariables\">Association between two variables<\/a><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-descriptive-statistics\"><strong>What is Descriptive Statistics?<\/strong><\/h2>\n\n\n\n<p>Descriptive Statistics, as the name suggests, describes data. It is a method to collect, organize, summarize, display and analyze sample data taken from a population. Descriptive Statistics, unlike inferential statistics, is not based on probability theory. It paves the way to understand and visualize data better. If you want to learn basic concepts, then you can take up free <a href=\"https:\/\/www.mygreatlearning.com\/academy\/learn-for-free\/courses\/descriptive-statistics \/?gl_blog_ id=14106\" target=\"_blank\" rel=\"noreferrer noopener\">descriptive statistics course<\/a> from Great Learning Academy. <\/p>\n\n\n\n<p><strong>Also Read: <a rel=\"noreferrer noopener\" aria-label=\"Inferential Statistics- An Overview (opens in a new tab)\" href=\"https:\/\/www.mygreatlearning.com\/blog\/inferential-statistics-an-overview\/\" target=\"_blank\">Inferential Statistics- An Overview<\/a><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"types-of-descriptive-statistics\"><strong>Types of Descriptive Statistics<\/strong><\/h2>\n\n\n\n<p>Descriptive Statistics is classified into <a href=\"https:\/\/www.mygreatlearning.com\/academy\/learn-for-free\/courses\/measures-of-central-tendency\" target=\"_blank\" rel=\"noreferrer noopener\">Measures of Central Tendency<\/a> and Measure of Dispersion.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"a-measures-of-central-tendency\"><strong>A.<\/strong> <strong>Measures of Central Tendency<\/strong><\/h4>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"1-mean-average\"><strong>1. Mean\/ Average<\/strong><\/h4>\n\n\n\n<p>This measure of central tendency summarizes the data, by considering a value which is an estimate of the total data set. It helps us to ascertain the spread in variables between the minimum and maximum values.<\/p>\n\n\n\n<p> <strong>Sample Mean<\/strong><\/p>\n\n\n\n<p><strong>Population Mean<\/strong><\/p>\n\n\n\n<p><strong>Sample Data:<\/strong> 12,18,25,69,45&nbsp;<br><strong>Sample Mean:<\/strong> [(12+18+25+69+45)\/5] = 33.80<br><strong>Population Data<\/strong>: 55,46,78,12,18,33,28,45,25,69,66<br><strong>Population Mean<\/strong>: [(55+46+78+12+18+33+28+45+25+69+66)\/11)] = 43.18 <\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"2-median\"><strong>2.<\/strong> <strong>Median<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Median is the middle item in a data set arranged in ascending\/descending order.&nbsp;<\/li>\n\n\n\n<li>If there are n observations then the Median&nbsp; = (n+1)\/2 th observation.<\/li>\n\n\n\n<li>Computational Rule.<\/li>\n\n\n\n<li>If n is odd, then (n+1)\/2 is an integer.<\/li>\n\n\n\n<li>If n is even, then use an average of n\/2 and (n\/2) +1th observation.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"3-mode\"><strong>3.<\/strong> <strong>Mode<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mode is the highest occurring observation.<\/li>\n\n\n\n<li>The greatest frequency can occur at two or more different values.<\/li>\n\n\n\n<li>If the data has only two modes, the data is bimodal.<\/li>\n\n\n\n<li>If the data has more than two modes, the data is multimodal.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"4-percentiles-and-quartiles\"><strong>4.<\/strong> <strong>Percentiles and Quartiles<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The P<sup>th<\/sup> percentile in the ordered set is that value below which lies P% (P percent) of the observations in the set.<\/li>\n\n\n\n<li>The position of the P<sup>th<\/sup> percentile is given by (n + 1) P\/100, where n is the number of observations in the set.<\/li>\n\n\n\n<li>Quartiles are special names to percentiles.<\/li>\n<\/ul>\n\n\n\n<p>Q1 = 25th percentile<br>Q2 = 50th percentile = median<br>Q3 = 75th percentile<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"comparison-of-mean-median-and-mode\"><strong>Comparison of Mean, Median, and Mode<\/strong><\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Mean<\/strong><\/td><td><strong>Median<\/strong><\/td><td><strong>Mode<\/strong><\/td><\/tr><tr><td>Defined as the arithmetic average of all observations in the data set.<\/td><td>Defined as the middle value in the data set arranged in ascending or descending order.<\/td><td>Defined as the most frequently occurring value in the distribution; it has the largest frequency.<\/td><\/tr><tr><td>Requires measurement on all observations.<\/td><td>It does not require measurement on all observations.<\/td><td>It does not require measurement on all observations.<\/td><\/tr><tr><td>Uniquely and comprehensively defined.<\/td><td>Cannot be determined under all conditions.<\/td><td>Not uniquely defined for multi-modal situations.<\/td><\/tr><tr><td>Affected by extreme values.<\/td><td>Not affected by extreme values.<\/td><td>Not affected by extreme values.<\/td><\/tr><tr><td>Can be treated algebraically. In other words, Means of several groups can be combined.<\/td><td>Cannot be treated algebraically, meaning, Medians of several groups cannot be combined.<\/td><td>Cannot be treated algebraically, since Modes of several groups cannot be combined.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"b-measures-of-dispersion\"><strong>B. Measures of Dispersion<\/strong><\/h4>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"1-range\"><strong>1. Range<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The range of a data set is the difference between the largest and smallest data values.<\/li>\n\n\n\n<li>It is the simplest measure of variability.<\/li>\n\n\n\n<li>It is very sensitive to the smallest and largest data values.<\/li>\n\n\n\n<li>Range = X <sub>max <\/sub>\u2013 X <sub>min<\/sub>&nbsp;<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"2-interquartile-range-iqr\"><strong>2. Interquartile Range (IQR)<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The interquartile range of a data set is the difference between the third quartile and the first quartile.<\/li>\n\n\n\n<li>It is the range for the middle 50% of the data.<\/li>\n\n\n\n<li>It overcomes the sensitivity to extreme data values.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"3-variance\"><strong>3. Variance<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The variance is a measure of variability that utilizes all the data.<\/li>\n\n\n\n<li>It is based on the difference between the value of each observation (<em>x<sub>i<\/sub><\/em>) and the mean (<em>x<\/em> for a sample, <em>m<\/em> for a population).<\/li>\n<\/ul>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/1111.jpg\"><img decoding=\"async\" width=\"631\" height=\"119\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/1111.jpg\" alt=\"\" class=\"wp-image-14107\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/1111.jpg 631w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/1111-300x57.jpg 300w\" sizes=\"(max-width: 631px) 100vw, 631px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"4-standard-deviation\"><strong>4. Standard Deviation<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The standard deviation of a data set is the positive square root of the variance.<\/li>\n\n\n\n<li>It is measured in the same units as the data, making it more easily comparable, than the variance, to the mean.<\/li>\n\n\n\n<li>If the data set is a sample, the standard deviation is denoted <em>s<\/em>.<\/li>\n\n\n\n<li>If the data set is a population, the standard deviation is denoted <em>s<\/em> (sigma).<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"5-coefficient-of-variation\"><strong>5. Coefficient of Variation<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The coefficient of variation indicates how large the standard deviation is in relation to the mean.<\/li>\n\n\n\n<li>If the data set is a sample, the coefficient of variation is computed as follows:<\/li>\n<\/ul>\n\n\n<figure class=\"wp-block-image aligncenter size-large zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-1.png\"><img decoding=\"async\" width=\"385\" height=\"159\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-1.png\" alt=\"\" class=\"wp-image-14119\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-1.png 385w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-1-300x124.png 300w\" sizes=\"(max-width: 385px) 100vw, 385px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>If the data set is a population, the coefficient of variation is computed as follows:<\/li>\n<\/ul>\n\n\n<figure class=\"wp-block-image aligncenter size-full zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/2222.jpg\"><img decoding=\"async\" width=\"236\" height=\"147\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/2222.jpg\" alt=\"\" class=\"wp-image-14108\"><\/figure>\n\n\n\n<p>Also Read:<a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" What is Data Science?  (opens in a new tab)\"> What is Data Science? <\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"skewness\"><strong>Skewness<\/strong><\/h2>\n\n\n\n<p>Skewness characterizes the degree of asymmetry of a distribution around its mean.<br><\/p>\n\n\n\n<p>The concept of skewness is mainly used to understand the distribution of the data and steps taken to normalize the data for further building of machine learning models.&nbsp;<\/p>\n\n\n\n<p>In case of negatively skewed data, Mean&lt;Median&lt;Mode. This indicates, more data points are to the right of the curve where the data has very high values in large numbers.<\/p>\n\n\n\n<p>In case of positively skewed data, Mode&lt;Median&lt;Mean. This means that more data points are to the left of the curve where the data has very low values in large numbers.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"measure-of-skewness\"><strong>Measure of Skewness<\/strong><\/h4>\n\n\n<figure class=\"wp-block-image aligncenter size-large zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-2.png\"><img decoding=\"async\" width=\"357\" height=\"169\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-2.png\" alt=\"\" class=\"wp-image-14121\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-2.png 357w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image-2-300x142.png 300w\" sizes=\"(max-width: 357px) 100vw, 357px\" \/><\/figure>\n\n\n\n<p>Also Read: <a href=\"https:\/\/www.mygreatlearning.com\/blog\/different-data-science-jobs-roles-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Top 9 Job Roles in the world of Data Science  (opens in a new tab)\">Top 9 Job Roles in the world of Data Science <\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"kurtosis\"><strong>Kurtosis<\/strong><\/h2>\n\n\n\n<p>Kurtosis characterizes the symmetric distribution through the relative peaks or flatness of the curve.&nbsp;<\/p>\n\n\n\n<p>The main difference between Skewness and Kurtosis is:&nbsp;<\/p>\n\n\n\n<p><strong>Skewness measures the degree of the slope in the frequency distribution.<\/strong><br><strong>Kurtosis measures the degree of thickness in the tails of the distribution curve.<\/strong> <\/p>\n\n\n\n<p>There are 3 types of Kurtosis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Platykurtic (relatively flat)<\/li>\n\n\n\n<li>Mesokurtic (normal)<\/li>\n\n\n\n<li>Leptokurtic (relatively peaked)<\/li>\n<\/ul>\n\n\n\n<p><strong>Measure of Kurtosis<\/strong><\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image.png\"><img decoding=\"async\" width=\"295\" height=\"124\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/image.png\" alt=\"\" class=\"wp-image-14118\"><\/figure>\n\n\n\n<p>Where, <\/p>\n\n\n\n<p>is the fourth standardized moment or the fourth degree. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"association-between-the-two-variables\"><strong>Association between the two variables<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Scatter plot<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scatter Plots<\/strong> are used to identify underlying relationships among pairs of data sets.<\/li>\n\n\n\n<li>The plot consists of many scattered points, each point representing an observation.<\/li>\n<\/ul>\n\n\n\n<p>Based on the distribution in the dataset and the points in the scatter plot, we can infer the outliers in the dataset and the relationship between 2 variables.<\/p>\n\n\n\n<p>2. <strong>Covariance<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The covariance is a measure of the linear association between two variables.<\/li>\n\n\n\n<li>Positive values indicate a positive relationship.<\/li>\n\n\n\n<li>Negative values indicate a negative relationship<\/li>\n<\/ul>\n\n\n\n<p>If the data sets are samples, the covariance is denoted by:<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/3333.jpg\"><img decoding=\"async\" width=\"337\" height=\"92\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/3333.jpg\" alt=\"\" class=\"wp-image-14111\" style=\"width:484px;height:132px\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/3333.jpg 337w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/3333-300x82.jpg 300w\" sizes=\"(max-width: 337px) 100vw, 337px\" \/><\/figure>\n\n\n\n<p>If the data sets are populations, the covariance is denoted by:<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/4444.jpg\"><img decoding=\"async\" width=\"326\" height=\"95\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/4444.jpg\" alt=\"\" class=\"wp-image-14112\" style=\"width:463px;height:135px\" srcset=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/4444.jpg 326w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/4444-300x87.jpg 300w, https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/4444-324x95.jpg 324w\" sizes=\"(max-width: 326px) 100vw, 326px\" \/><\/figure>\n\n\n\n<p>3. <strong>Correlation Coefficient<\/strong><\/p>\n\n\n\n<p>Correlation measures the strength and direction of linear relationship between variables.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The coefficient can take on values between -1 and +1.<\/li>\n\n\n\n<li>Values near -1 indicate a strong negative linear relationship.<\/li>\n\n\n\n<li>Values near +1 indicate a strong positive linear relationship.<\/li>\n<\/ul>\n\n\n\n<p>If the data sets are samples, the coefficient is- <\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/5555.jpg\"><img decoding=\"async\" width=\"222\" height=\"117\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/5555.jpg\" alt=\"\" class=\"wp-image-14113\" style=\"width:312px;height:164px\"><\/figure>\n\n\n\n<p>If the data sets are populations, the coefficient is-<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized zoomable\" data-full=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/6666.jpg\"><img decoding=\"async\" width=\"243\" height=\"125\" src=\"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/6666.jpg\" alt=\"\" class=\"wp-image-14114\" style=\"width:342px;height:176px\"><\/figure>\n\n\n\n<p>Upon understanding the statistical methods, one can summarize and visualize the basic features of data to proceed with modelling or predicting the data.<\/p>\n\n\n\n<p>If you wish to pursue a career in data science, upskill with Great Learning\u2019s&nbsp;<a href=\"https:\/\/www.mygreatlearning.com\/pg-program-data-science-and-business-analytics-course\" target=\"_blank\" rel=\"noreferrer noopener\">PG program in Data Science.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contributed by: Prashanth Ashok LinkedIn Profile: https:\/\/www.linkedin.com\/in\/prashanth-a-bb122425\/ Data availability in today\u2019s world is a big boon. However, analyzing them to our needs is the biggest challenge. To be able to analyze the vast resources of data, understanding and describing the data is crucial. There are different methods through which we can describe data. Statistics, a [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":14123,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[9],"tags":[],"content_type":[],"class_list":["post-14106","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>An Introduction to Descriptive Statistics | Definition of Descriptive Statistics<\/title>\n<meta name=\"description\" content=\"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the 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:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics\" \/>\n<meta property=\"og:description\" content=\"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/\" \/>\n<meta property=\"og:site_name\" content=\"Great Learning Blog: Free Resources what Matters to shape your Career!\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/GreatLearningOfficial\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-04-27T12:14:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-03T09:24:25+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1254\" \/>\n\t<meta property=\"og:image:height\" content=\"837\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Great Learning Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@https:\/\/twitter.com\/Great_Learning\" \/>\n<meta name=\"twitter:site\" content=\"@Great_Learning\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Great Learning Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/\"},\"author\":{\"name\":\"Great Learning Editorial Team\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/person\\\/6f993d1be4c584a335951e836f2656ad\"},\"headline\":\"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics\",\"datePublished\":\"2020-04-27T12:14:33+00:00\",\"dateModified\":\"2024-09-03T09:24:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/\"},\"wordCount\":1217,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/04\\\/iStock-1010593510.jpg\",\"articleSection\":[\"Data Science and Analytics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/\",\"name\":\"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/04\\\/iStock-1010593510.jpg\",\"datePublished\":\"2020-04-27T12:14:33+00:00\",\"dateModified\":\"2024-09-03T09:24:25+00:00\",\"description\":\"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the data.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/04\\\/iStock-1010593510.jpg\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/04\\\/iStock-1010593510.jpg\",\"width\":1254,\"height\":837,\"caption\":\"descriptive statistics\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/introduction-descriptive-statistics\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Blog\",\"item\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Data Science and Analytics\",\"item\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/data-science\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\",\"name\":\"Great Learning Blog\",\"description\":\"Learn, Upskill &amp; Career Development Guide and Resources\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\"},\"alternateName\":\"Great Learning\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\",\"name\":\"Great Learning\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/GL-Logo.jpg\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/GL-Logo.jpg\",\"width\":900,\"height\":900,\"caption\":\"Great Learning\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/GreatLearningOfficial\\\/\",\"https:\\\/\\\/x.com\\\/Great_Learning\",\"https:\\\/\\\/www.instagram.com\\\/greatlearningofficial\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/school\\\/great-learning\\\/\",\"https:\\\/\\\/in.pinterest.com\\\/greatlearning12\\\/\",\"https:\\\/\\\/www.youtube.com\\\/user\\\/beaconelearning\\\/\"],\"description\":\"Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions.\",\"email\":\"info@mygreatlearning.com\",\"legalName\":\"Great Learning Education Services Pvt. Ltd\",\"foundingDate\":\"2013-11-29\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"1001\",\"maxValue\":\"5000\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/person\\\/6f993d1be4c584a335951e836f2656ad\",\"name\":\"Great Learning Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"caption\":\"Great Learning Editorial Team\"},\"description\":\"The Great Learning Editorial Staff includes a dynamic team of subject matter experts, instructors, and education professionals who combine their deep industry knowledge with innovative teaching methods. Their mission is to provide learners with the skills and insights needed to excel in their careers, whether through upskilling, reskilling, or transitioning into new fields.\",\"sameAs\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/\",\"https:\\\/\\\/in.linkedin.com\\\/school\\\/great-learning\\\/\",\"https:\\\/\\\/x.com\\\/https:\\\/\\\/twitter.com\\\/Great_Learning\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCObs0kLIrDjX2LLSybqNaEA\"],\"award\":[\"Best EdTech Company of the Year 2024\",\"Education Economictimes Outstanding Education\\\/Edtech Solution Provider of the Year 2024\",\"Leading E-learning Platform 2024\"],\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/author\\\/greatlearning\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics","description":"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the 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:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/","og_locale":"en_US","og_type":"article","og_title":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics","og_description":"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the data.","og_url":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/","og_site_name":"Great Learning Blog: Free Resources what Matters to shape your Career!","article_publisher":"https:\/\/www.facebook.com\/GreatLearningOfficial\/","article_published_time":"2020-04-27T12:14:33+00:00","article_modified_time":"2024-09-03T09:24:25+00:00","og_image":[{"width":1254,"height":837,"url":"http:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg","type":"image\/jpeg"}],"author":"Great Learning Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@https:\/\/twitter.com\/Great_Learning","twitter_site":"@Great_Learning","twitter_misc":{"Written by":"Great Learning Editorial Team","Est. reading time":"8 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#article","isPartOf":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/"},"author":{"name":"Great Learning Editorial Team","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/person\/6f993d1be4c584a335951e836f2656ad"},"headline":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics","datePublished":"2020-04-27T12:14:33+00:00","dateModified":"2024-09-03T09:24:25+00:00","mainEntityOfPage":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/"},"wordCount":1217,"commentCount":0,"publisher":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg","articleSection":["Data Science and Analytics"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/","url":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/","name":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics","isPartOf":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#primaryimage"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg","datePublished":"2020-04-27T12:14:33+00:00","dateModified":"2024-09-03T09:24:25+00:00","description":"Defintion of Descriptive Statistics: Upon understanding the descriptive statistics, one can summarize and visualize the basic features of data to proceed with modelling or predicting the data.","breadcrumb":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#primaryimage","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg","width":1254,"height":837,"caption":"descriptive statistics"},{"@type":"BreadcrumbList","@id":"https:\/\/www.mygreatlearning.com\/blog\/introduction-descriptive-statistics\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog","item":"https:\/\/www.mygreatlearning.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Data Science and Analytics","item":"https:\/\/www.mygreatlearning.com\/blog\/data-science\/"},{"@type":"ListItem","position":3,"name":"An Introduction to Descriptive Statistics | Definition of Descriptive Statistics"}]},{"@type":"WebSite","@id":"https:\/\/www.mygreatlearning.com\/blog\/#website","url":"https:\/\/www.mygreatlearning.com\/blog\/","name":"Great Learning Blog","description":"Learn, Upskill &amp; Career Development Guide and Resources","publisher":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization"},"alternateName":"Great Learning","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mygreatlearning.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization","name":"Great Learning","url":"https:\/\/www.mygreatlearning.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/06\/GL-Logo.jpg","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/06\/GL-Logo.jpg","width":900,"height":900,"caption":"Great Learning"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/GreatLearningOfficial\/","https:\/\/x.com\/Great_Learning","https:\/\/www.instagram.com\/greatlearningofficial\/","https:\/\/www.linkedin.com\/school\/great-learning\/","https:\/\/in.pinterest.com\/greatlearning12\/","https:\/\/www.youtube.com\/user\/beaconelearning\/"],"description":"Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions.","email":"info@mygreatlearning.com","legalName":"Great Learning Education Services Pvt. Ltd","foundingDate":"2013-11-29","numberOfEmployees":{"@type":"QuantitativeValue","minValue":"1001","maxValue":"5000"}},{"@type":"Person","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/person\/6f993d1be4c584a335951e836f2656ad","name":"Great Learning Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","caption":"Great Learning Editorial Team"},"description":"The Great Learning Editorial Staff includes a dynamic team of subject matter experts, instructors, and education professionals who combine their deep industry knowledge with innovative teaching methods. Their mission is to provide learners with the skills and insights needed to excel in their careers, whether through upskilling, reskilling, or transitioning into new fields.","sameAs":["https:\/\/www.mygreatlearning.com\/","https:\/\/in.linkedin.com\/school\/great-learning\/","https:\/\/x.com\/https:\/\/twitter.com\/Great_Learning","https:\/\/www.youtube.com\/channel\/UCObs0kLIrDjX2LLSybqNaEA"],"award":["Best EdTech Company of the Year 2024","Education Economictimes Outstanding Education\/Edtech Solution Provider of the Year 2024","Leading E-learning Platform 2024"],"url":"https:\/\/www.mygreatlearning.com\/blog\/author\/greatlearning\/"}]}},"uagb_featured_image_src":{"full":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",1254,837,false],"thumbnail":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510-150x150.jpg",150,150,true],"medium":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510-300x200.jpg",300,200,true],"medium_large":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510-768x513.jpg",768,513,true],"large":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510-1024x683.jpg",1024,683,true],"1536x1536":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",1254,837,false],"2048x2048":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",1254,837,false],"web-stories-poster-portrait":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",640,427,false],"web-stories-publisher-logo":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",96,64,false],"web-stories-thumbnail":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/04\/iStock-1010593510.jpg",150,100,false]},"uagb_author_info":{"display_name":"Great Learning Editorial Team","author_link":"https:\/\/www.mygreatlearning.com\/blog\/author\/greatlearning\/"},"uagb_comment_info":0,"uagb_excerpt":"Contributed by: Prashanth Ashok LinkedIn Profile: https:\/\/www.linkedin.com\/in\/prashanth-a-bb122425\/ Data availability in today\u2019s world is a big boon. However, analyzing them to our needs is the biggest challenge. To be able to analyze the vast resources of data, understanding and describing the data is crucial. There are different methods through which we can describe data. Statistics, a&hellip;","_links":{"self":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/14106","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/comments?post=14106"}],"version-history":[{"count":18,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/14106\/revisions"}],"predecessor-version":[{"id":112269,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/14106\/revisions\/112269"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/media\/14123"}],"wp:attachment":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/media?parent=14106"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/categories?post=14106"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/tags?post=14106"},{"taxonomy":"content_type","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/content_type?post=14106"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}