{"id":2904,"date":"2016-08-10T05:19:17","date_gmt":"2016-08-10T05:19:17","guid":{"rendered":"https:\/\/www.surveycrest.com\/blog\/?p=2904"},"modified":"2025-09-29T10:33:37","modified_gmt":"2025-09-29T10:33:37","slug":"gathered-tons-of-survey-data","status":"publish","type":"post","link":"https:\/\/www.surveycrest.com\/blog\/gathered-tons-of-survey-data\/","title":{"rendered":"You Have Gathered Tons Of Survey Data &#8211; Now What?"},"content":{"rendered":"<p>So, you designed a great survey, got the questions just  right and have received a lot of responses. You are ecstatic about the  successful survey design and distribution process. You have gotten your hands  on a lot of data. By now you are probably wondering how to use all the data?  What <a href=\"https:\/\/www.surveycrest.com\/blog\/customer-service-challenges-addressed-through-surveys\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>insights  does it hold<\/strong><\/a>? How will it help you improve your revenue?<\/p>\n<p>All of these are excellent questions and we\u2019ll try to answer  all of them in this blog post.<\/p>\n<h2>The Value Of Data Analysis<\/h2>\n<p>Data can teach you a lot <a href=\"https:\/\/www.surveycrest.com\/blog\/online-surveys-for-customers\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>about your  customers<\/strong><\/a>. The more insights you have, the better you can plan your sales,  promotion and advertising campaigns. Here is an example from a case study  measuring customer attitudes towards soft drinks:<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Brand-Attitude.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Brand-Attitude.jpg\" alt=\"Brand Attitude\" title=\"Brand Attitude\" class=\"alignnone wp-image-2905\" width=\"600\" height=\"414\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Brand-Attitude.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Brand-Attitude-300x207.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Brand-Attitude-434x300.jpg 434w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/defiat.io\" target=\"_blank\" rel=\"noopener noreferrer\">Accurate analysis<\/a> of your own data can yield valuable  results. Imagine knowing for certain what customers like and dislike about your  products. You can quickly fix what isn\u2019t working and continue improving what  you have gotten right.<\/p>\n<h2>Analyzing Survey Data<\/h2>\n<p>We won\u2019t lie, analyzing the survey data is trickier than any  of the previous steps in the process. We break down the analysis into simple  steps to help you find valuable information.<\/p>\n<h2>Four Basic Data Types Of Survey Responses<\/h2>\n<p>There are four standard question\/responses types and as a  result you will have four different types of data to analyze depending on how you  deigned the survey.<\/p>\n<h3>1. Categorical Or Nominal<\/h3>\n<p>These are the unordered labels such as brand names, colors,  types etc.<\/p>\n<p><strong>Example<\/strong><\/p>\n<p>What do you like most about our product?<\/p>\n<ul>\n<li>Fast customer service<\/li>\n<li>Ease of use<\/li>\n<li>Quality<\/li>\n<li>Quantity<\/li>\n<\/ul>\n<h4>Analyzing Categorical Data<\/h4>\n<p>This is what you do for all the responses which fall under  the categorical data type:<\/p>\n<p>Step 1: Calculate the total number of responses for each  option<\/p>\n<p>Step 2: Divide the number found in each category by the  total<\/p>\n<p>This gives you values called relative frequency statistics.  Our example question and data yields the following relative frequency table:<\/p>\n<table width=\"100%\" cellspacing=\"0\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"middle\" align=\"center\"><strong>Option<\/strong><\/td>\n<td valign=\"middle\" align=\"center\"><strong>Total Responses<\/strong><\/td>\n<td valign=\"middle\" align=\"center\"><strong>Share in Overall Data<\/strong><\/td>\n<td valign=\"middle\" align=\"center\"><strong>Percentage Share<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Fast customer service<\/td>\n<td>30<\/td>\n<td>30\/100=0.3<\/td>\n<td>30%<\/td>\n<\/tr>\n<tr>\n<td>Ease of use<\/td>\n<td>40<\/td>\n<td>40\/100=0.4<\/td>\n<td>40%<\/td>\n<\/tr>\n<tr>\n<td>Quality<\/td>\n<td>16<\/td>\n<td>16\/100=0.16<\/td>\n<td>16%<\/td>\n<\/tr>\n<tr>\n<td>Quantity<\/td>\n<td>14<\/td>\n<td>14\/100=0.14<\/td>\n<td>14%<\/td>\n<\/tr>\n<tr>\n<td align=\"right\"><strong>Totals<\/strong><\/td>\n<td>100<\/td>\n<td>1<\/td>\n<td>100%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>These results become more meaningful when grouped according  to:<\/p>\n<ul>\n<li>Customer types<\/li>\n<li>Product types<\/li>\n<li>Geographical locations<\/li>\n<li>Specific brands<\/li>\n<\/ul>\n<h3>2. Ordinal<\/h3>\n<p>Based on scales such as \u201cNever to Often\u201d or \u201cStrongly like  to Strongly dislike\u201d or \u201cStrongly agree to strongly disagree\u201d. These help asses  \u201cHow much\u201d kinds of questions<\/p>\n<p><strong>Example<\/strong><\/p>\n<p>How often do you use product X?<\/p>\n<table width=\"100%\" cellspacing=\"0\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"middle\" align=\"center\">Never<\/td>\n<td valign=\"middle\" align=\"center\">Rarely<\/td>\n<td valign=\"middle\" align=\"center\">Sometimes<\/td>\n<td valign=\"middle\" align=\"center\">Often<\/td>\n<td valign=\"middle\" align=\"center\">Always<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>Analyzing Ordinal Data<\/h4>\n<p>Create a frequency table to understand the importance of  each option, here is a sample table showing the frequencies:<\/p>\n<table width=\"100%\" cellspacing=\"0\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"middle\" align=\"center\">Response Text<\/td>\n<td valign=\"middle\" align=\"center\">Never<\/td>\n<td valign=\"middle\" align=\"center\">Rarely<\/td>\n<td valign=\"middle\" align=\"center\">Sometimes<\/td>\n<td valign=\"middle\" align=\"center\">Often<\/td>\n<td valign=\"middle\" align=\"center\">Always<\/td>\n<\/tr>\n<tr>\n<td valign=\"middle\" align=\"center\">Corresponding  Scale Value<\/td>\n<td valign=\"middle\" align=\"center\">1<\/td>\n<td valign=\"middle\" align=\"center\">2<\/td>\n<td valign=\"middle\" align=\"center\">3<\/td>\n<td valign=\"middle\" align=\"center\">4<\/td>\n<td valign=\"middle\" align=\"center\">5<\/td>\n<\/tr>\n<tr>\n<td valign=\"middle\" align=\"center\">Percentage<\/td>\n<td valign=\"middle\" align=\"center\">3% (3)<\/td>\n<td valign=\"middle\" align=\"center\">60% (60)<\/td>\n<td valign=\"middle\" align=\"center\">5% (5)<\/td>\n<td valign=\"middle\" align=\"center\">2% (2)<\/td>\n<td valign=\"middle\" align=\"center\">30% (30)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A great way to visualize this type of data is diverging bar  charts, am example is shown below<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/general-visualization-discussions.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/general-visualization-discussions.jpg\" alt=\"general visualization discussions\" title=\"general visualization discussions\" class=\"alignnone wp-image-2906\" width=\"600\" height=\"352\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/general-visualization-discussions.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/general-visualization-discussions-300x176.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/general-visualization-discussions-500x294.jpg 500w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><br \/>\nSource: <a href=\"https:\/\/www.datarevelations.com\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">datarevelations.com<\/a><\/p>\n<h3>3. Interval<\/h3>\n<p>Ranges such as income level, number of employees etc.<\/p>\n<p><strong>Example<\/strong><\/p>\n<p>Indicate the number of employees in your company<\/p>\n<ul>\n<li>1-50 employees<\/li>\n<li>51-100 employees<\/li>\n<li>100-150 employees<\/li>\n<li>151-200 employees<\/li>\n<\/ul>\n<h4>Analyzing Interval Data<\/h4>\n<p>This kind of data should be treated as if it is ordinal data if the intervals are even. In our example question, the intervals follow an even interval of 50, therefore the responses would be analyzed just as ordinal data. However if the intervals are uneven, treat it the same as nominal data.<\/p>\n<h3>4. Ratio<\/h3>\n<p>This has a defined zero point for example height, annual  sales, product defect rates, market share etc.<\/p>\n<p><strong>Example<\/strong><\/p>\n<p>How many hours do you spend browsing the Internet?<\/p>\n<ul>\n<li>0<\/li>\n<li>1<\/li>\n<li>2<\/li>\n<li>3<\/li>\n<\/ul>\n<h4>Analyzing Ratio Data<\/h4>\n<p>Ratio data is useful because it supports averages, specifically  the arithmetic mean. You can simply take the numbers of ratio data and  calculate the mean like this:<\/p>\n<p>4+5+6\/3=5<\/p>\n<p>This gives a feel for where the responses are centered.<\/p>\n<p>You can analyze how spread out the responses are by using  statistical techniques such as standard deviation, correlation, regression,  analysis of variance, etc.<\/p>\n<h2>Applicable Analysis Techniques<\/h2>\n<p>Interval and ratio data are the most commonly used in market  research, business and economics. This is mainly because many statistical methods  can be applied to such data. But nominal and ordinal data can also prove to be  useful in many cases. Here are some applicable analysis methods for each of the  four survey data types.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques.jpg\" alt=\"Analysis Techniques\" title=\"Analysis Techniques\" class=\"alignnone wp-image-2907\" width=\"600\" height=\"600\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques.jpg 1000w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques-150x150.jpg 150w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques-300x300.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Analysis-Techniques-768x768.jpg 768w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<h2>Share Interesting Insights On Your Blog\/Social Media Pages<\/h2>\n<p>It\u2019s a good idea to share meaningful insights you gathered  during the analysis process. I don\u2019t mean to suggest that you share  business-sensitive information, even general insights can be pretty valuable.  Customers and industry experts are always interested in unique information.<\/p>\n<p>Don\u2019t just put up a huge table filled with numbers, no one  will bother to read it. A better option is to present your data in fun ways,  tell a story with your numbers. Popular <a href=\"https:\/\/www.surveycrest.com\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>survey tools<\/strong><\/a> such as SurveyCrest offer built-in features for  generating charts, word clouds, etc.<\/p>\n<p>Here are a few suggestions and examples of beautiful visuals  for your inspiration:<\/p>\n<h3>1. Simple Bar Charts<\/h3>\n<p>Use monochrome icons to clarify your meaning and get your  point across. A great example of a bar published by Search Engine Watch shows  the following information in a bar graph:<\/p>\n<ol type=\"a\">\n<li>The percentage of people who browse the internet  using smartphones\/tablets<\/li>\n<li>What they do online (in this case research  products\/services)<\/li>\n<li>What device they use<\/li>\n<li>The location of the user when they browse  (home\/work\/commuting)<\/li>\n<li>The day of the week<\/li>\n<\/ol>\n<p>This is quite a bunch of facts to fit in one chart and they  managed to convey it clearly. The addition of icons is especially useful.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Mobile-Survey.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Mobile-Survey.jpg\" alt=\"Mobile Survey\" title=\"Mobile Survey\" class=\"alignnone wp-image-2909\" width=\"600\" height=\"613\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Mobile-Survey.jpg 600w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Mobile-Survey-294x300.jpg 294w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<h3>2. Word Clouds<\/h3>\n<p>These show the most frequently used and therefore most  important words in any block of text. Here are some free word cloud tools I use  frequently: <a href=\"https:\/\/www.nytimes.com\/games\/wordle\/index.html\" rel=\"nofollow noopener noreferrer\" target=\"_blank\"><strong>Wordle<\/strong><\/a>, <a href=\"http:\/\/www.tagxedo.com\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\"><strong>Tagxedo<\/strong><\/a>, <a href=\"http:\/\/tagul.com\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\"><strong>Tagul<\/strong><\/a> (this is the one I used to generate the graphic below) and <a href=\"http:\/\/worditout.com\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\"><strong>Word It Out<\/strong><\/a>.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Survey-Data.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Survey-Data.jpg\" alt=\"Survey Data\" title=\"Survey Data\" class=\"alignnone wp-image-2910\" width=\"600\" height=\"366\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Survey-Data.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Survey-Data-300x183.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Survey-Data-491x300.jpg 491w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p>Online survey software will analyze and create word clouds  from your survey data with just a few clicks, the following example was created  using the Survey Crest word cloud tool.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Word-Clouds.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Word-Clouds.jpg\" alt=\"Word Clouds\" title=\"Word Clouds\" class=\"alignnone wp-image-2911\" width=\"600\" height=\"509\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Word-Clouds.jpg 618w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Word-Clouds-300x255.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Word-Clouds-353x300.jpg 353w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<h3>3. Stacked Bar Charts<\/h3>\n<p>These are great for showing sub-categories, this <a href=\"https:\/\/techcrunch.com\/2013\/08\/13\/facebook-mobile-user-count\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\"><strong>Techcrunch  article<\/strong><\/a> uses this method to quickly convey demographic information about  Facebook users.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts.jpg\" alt=\"Stacked Bar Charts\" title=\"Stacked Bar Charts\" class=\"alignnone wp-image-2912\" width=\"600\" height=\"396\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts-300x199.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts-335x220.jpg 335w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Stacked-Bar-Charts-453x300.jpg 453w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<h3>4. Heat Maps<\/h3>\n<p>This stunning example shows the global fintech (financial  technology) investments classified by country. The data was collected by  William Garrity Associates.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Global-Investment.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Global-Investment.jpg\" alt=\"Global Investment\" title=\"Global Investment\" class=\"alignnone wp-image-2913\" width=\"600\" height=\"669\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Global-Investment.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Global-Investment-269x300.jpg 269w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<div class=\"ebookdwnbut\">\n  <a href=\"https:\/\/www.surveycrest.com\/survey\/selection\" target=\"_blank\" class=\"cta-button\" rel=\"noopener noreferrer\">Create A Survey Online<\/a><\/div>\n<h3>5. Pie Charts<\/h3>\n<p>Use pie charts to show broad categorizations such as  location of survey respondents, age group, or the percentage of specific  responses. Here is the pie chart auto-generated by the Survey Crest tool during  the testing process.<\/p>\n<p align=\"center\"><a href=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Pie-Charts.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Pie-Charts.jpg\" alt=\"Pie Charts\" title=\"Pie Charts\" class=\"alignnone wp-image-2914\" width=\"600\" height=\"430\" srcset=\"https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Pie-Charts.jpg 624w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Pie-Charts-300x215.jpg 300w, https:\/\/www.surveycrest.com\/blog\/wp-content\/uploads\/2016\/08\/Pie-Charts-418x300.jpg 418w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p>Alternatively, there are many online tools to generate a pie chart of survey data. One of them is the <a href=\"https:\/\/www.standarddeviationcalculator.io\/pie-chart-calculator\" target=\"_blank\" rel=\"noopener noreferrer\">Pie chart calculator<\/a> which helps to generate a pie chart and analyze the survey data to give remarkable results.<\/p>\n<p>Surveys are only useful if you analyze them properly. A  bunch of numbers hold immense insights into customer behavior and preferences.  Discovering this information takes work, the use of proper techniques will  prove invaluable to your survey goals.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>So, you designed a great survey, got the questions just right and have received a lot of responses. You are ecstatic about the successful survey design and distribution process. You have gotten your hands on a lot of data. By now you are probably wondering how to use all the data? What insights does it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2915,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-2904","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-online-survey"],"_links":{"self":[{"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/posts\/2904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/comments?post=2904"}],"version-history":[{"count":9,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/posts\/2904\/revisions"}],"predecessor-version":[{"id":6439,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/posts\/2904\/revisions\/6439"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/media\/2915"}],"wp:attachment":[{"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/media?parent=2904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/categories?post=2904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.surveycrest.com\/blog\/wp-json\/wp\/v2\/tags?post=2904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}