

{"id":725686,"date":"2022-11-19T11:00:28","date_gmt":"2022-11-19T19:00:28","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=564990"},"modified":"2023-10-17T10:27:10","modified_gmt":"2023-10-17T10:27:10","slug":"categorical-data-vs-numerical-data","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/categorical-data-vs-numerical-data\/","title":{"rendered":"Categorical Data vs Numerical Data: The Differences"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Data are facts or pieces of information gathered for reference or analysis. Most of the time, these data are collected as part of the subject being looked at. This attribute can be different for each person. Let&#8217;s talk about Categorical Data vs Numerical Data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When researching and collecting data, it&#8217;s essential to know what kind of data you&#8217;re getting so you can interpret and analyze it well. Most of the time, there are two types of data in a research study:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a class=\"wpil_keyword_link\" href=\"https:\/\/www.questionpro.com\/blog\/categorical-data\/\"   title=\"Categorical data\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"69\">Categorical data<\/a><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Numerical data.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">In statistics, it is vital to understand the different kinds of data. It is crucial to figure out who they both are based on how they are different and how they are the same. This will make it easy to gather, use, and analyze them correctly.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this article, we will discuss what categorical data are and how they differ from numerical data. Let&#8217;s get started.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What is categorical data?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Categorical data can be put in groups or categories using names or labels. This grouping is typically generated using a matching procedure based on data attributes and similarities between these qualities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Each piece of a categorical dataset, also known as <\/span><a href=\"https:\/\/www.questionpro.com\/blog\/qualitative-data\/\"><b>qualitative data<\/b><\/a><span style=\"font-weight: 400;\">, may be assigned to only one category based on its qualities, and each category is mutually exclusive.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There are two primary categories of categorical data:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Nominal data:<\/b><span style=\"font-weight: 400;\"> This is the data category that names or labels its categories. It has features resembling a noun and is occasionally referred to as naming data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Ordinary data:<\/b><span style=\"font-weight: 400;\"> Elements with rankings, orders, or rating scales are included in this category of categorical data. <a href=\"https:\/\/www.questionpro.com\/blog\/nominal-data\/\">Nominal data<\/a> can be ordered and counted but not measured.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">What is numerical data?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Data expressed in numerical terms rather than in natural language descriptions are called numerical data. It can only be gathered in numerical form, keeping its name. This numerical data type also referred to as quantitative data can be used to measure a person&#8217;s height, weight, IQ, etc.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Numerical data can be of two types:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Discrete Data:<\/b><span style=\"font-weight: 400;\"> Countable numerical data are discrete data. They are mapped one-to-one to natural numbers, in other words. Age, the number of students in a class, the number of candidates in an election, etc., are a few examples of discrete data in general.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Continuous Data:<\/b><span style=\"font-weight: 400;\"> This is an uncountable data type for numbers. A series of intervals on a natural number line is used to depict them. Student CGPA, height, and other continuous data types are a few examples.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">The difference between categorical data vs numerical data<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Many things are different between these 2 types of data. Let\u2019s find out what and how they are different below:\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">No<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Features<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Categorical data<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Numerical data<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Definition<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Categorical data can be stored and identified by names or labels.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Numerical data are numbers, not words or descriptions.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Alias<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Because it qualifies data before categorizing it, it is sometimes referred to as qualitative data.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Quantitative data represents numerical values for arithmetic processes.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">3<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Examples<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Define gender.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Male<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Female<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Other<\/span><\/li>\n<\/ul>\n<\/td>\n<td><span style=\"font-weight: 400;\">Test score out of 20?<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Below 5<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">5-10<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">10-15<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">15-20<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">20<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Types<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Nominal data and <a class=\"wpil_keyword_link\" href=\"https:\/\/www.questionpro.com\/blog\/ordinal-data\/\"   title=\"Ordinal data\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"168\">Ordinal data<\/a>.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Discrete data and Continuous data.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Characteristics<\/span><\/td>\n<td>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">There is no scale of orders.<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Natural language description<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Can take numerical numbers but has qualitative characteristics<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Can be represented graphically using pie charts and bar charts.<\/span><\/li>\n<\/ul>\n<\/td>\n<td>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Possesses a logical scale<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Using a description that is not in natural language<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Takes numbers and numbers as inputs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bar charts and pie charts can be used to visualize this<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">6<\/span><\/td>\n<td><span style=\"font-weight: 400;\">User-friendly design<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Long surveys are a possibility and may turn off responders.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Survey interaction is quick and short, reducing abandonment.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Data collection method<\/span><\/td>\n<td>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Nominal data: open-ended questions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ordinal data: multiple-choice questions<\/span><\/li>\n<\/ul>\n<\/td>\n<td><span style=\"font-weight: 400;\">Mostly multiple-choice, sometimes open-ended questions.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">8<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Data collection tools<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Questionnaires, surveys, and interviews<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Questionnaires, surveys, interviews, focus groups and observations<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">9<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Uses<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Used when a survey demands respondents personal information, opinions, and experiences. Used in business research<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Statistical calculations based on arithmetic performance.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">10<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Compatibility<\/span><\/td>\n<td><span style=\"font-weight: 400;\">It&#8217;s incompatible with most statistical approaches. Thus researchers avoid it.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">It supports most statistical calculations.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">11<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Visualization<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Bar and pie charts alone.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Bar graphs, pie charts, and scatter plots can be used.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">12<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Structure<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Unstructured data Like Google, Bing, etc., it can index data.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Since it is structured, it can be easily arranged and understood.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span style=\"font-weight: 400;\">Similarities between categorical data and numerical data<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">As we have already discussed the differences, the 2 following data have some similarities as well, which are described below:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><span style=\"font-weight: 400;\">Ordinal data\u00a0<\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">It is a cross between category and numerical data. Although it is commonly referred to as a subtype of categorical data, it can also be referred to as numerical data.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><span style=\"font-weight: 400;\">Uses\u00a0<\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The results will be the same for research and <a href=\"https:\/\/www.questionpro.com\/blog\/statistical-analysis\/\">statistical analysis<\/a> whether you use a numerical or a categorical approach. Researchers sometimes use them both together in a survey to find out different ways to look at the data.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><span style=\"font-weight: 400;\">Collection tools<\/span><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The most typical methods for gathering categorical and numerical data include surveys, questionnaires, and interviews.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The most popular method of data collecting employed by researchers is surveying. It may be made to collect both numerical and category data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can use yes\/no questions or Likert scale questions to collect numerical data from your participants. Open-ended inquiries can also acquire essential data from the intended audience.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Conclusion<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Depending on the research being conducted, categorical data vs numerical data may be used for statistical analysis. When tackling an issue, a researcher may decide to gather category data, numerical data, or even both in some circumstances.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When gathering information for an analysis to consider alternative viewpoints, the researcher may gather numerical and category data. To correctly use these two sorts of data in a study, one must be aware of their distinctions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another justification for why it&#8217;s critical to comprehend the various data kinds is provided by this.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">QuestionPro is more than just survey software because it offers solutions for various problems and industries. For example, our InsightsHub research library is a data storage and analysis platform.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">InsightsHub&#8217;s knowledge management solutions and platforms help companies enhance data management, speed insight development, and better leverage historical data while decreasing costs and enhancing ROI.<\/span><\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.questionpro.com\/research-edition-survey-software\/\" target=\"_blank\" rel=\"noopener\"><button>LEARN MORE<\/button><\/a>\u00a0 \u00a0 \u00a0 \u00a0<a href=\"https:\/\/www.questionpro.com\/a\/showEntry.do?classID=1053&amp;sourceRef=blog\" target=\"_blank\" rel=\"noopener\"><button>FREE TRIAL<\/button><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data are facts or pieces of information gathered for reference or analysis. Most of the time, these data are collected [&hellip;]<\/p>\n","protected":false},"author":48,"featured_media":566732,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[174],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Categorical Data vs Numerical Data: The Differences | QuestionPro<\/title>\n<meta name=\"description\" content=\"Data can have numerical values for numerical and categorical data. It is easier to grasp. 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It is easier to grasp. 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