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The tips cover choosing the right message and chart type, simplifying presentation, adding clear headlines, labels, source credibility, and designing for readability with a strong data-ink ratio. It also addresses avoiding misleading effects such as 3D, establishing hierarchy, using colour, size, and position thoughtfully, and iterating through revision while leveraging useful models, tools, and resources.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/10-data-visualization-tips-practical-guidelines/657809/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/10-data-visualization-tips-practical-guidelines/657809.png","ImageObject",300,407,{"name":92,"@type":93},"xXChrisXx","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-26",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How do you decide what message a visualization should communicate?","Question",{"text":112,"@type":113},"Identify the relationships and patterns in the data, then focus on what you want to show. Keep the message specific so the chart supports the intended takeaway.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which chart form should you choose for different kinds of data?",{"text":117,"@type":113},"Select a form based on what the data represents: bar charts for comparisons or parts of a whole, scatter plots for relationships between two variables, node-link diagrams for hierarchy, line graphs for continuous trends, and word clouds for word frequency.",{"name":119,"@type":110,"acceptedAnswer":120},"What design choices improve readability and reduce misinterpretation?",{"text":121,"@type":113},"Use compelling headlines and decks, label axes clearly, maximize the data-ink ratio by removing non-essential ink, and avoid misleading special effects like 3D. Add a visual hierarchy and guide attention using colour, size, and position.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},657809,1792990585,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":52},8796112263567,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","10 Data Visualization Tips  \n\n|  |\n| --- |\n| |\n|  |\n\nData visualizations are an effective tool to Pie Charts  \ncommunicate research. But to realize their potential, designers should follow these tips to help readers decode their visualizations.  \n1. Keep it simple!  \nThis is the golden rule. Always choose the simplest way to convey your information.  \n2. Have a specific message you want to communicate  \nIdentify the relationships and patterns of your data and focus on what you want to show.  \n3. Select the right chart form  \n…and know its strengths and limits. Here are some common chart forms:  \nBar charts  \nDepict nominal data. They are often used to illustrate comparisons. The value axis should always start at zero and use a consistent scale.  \nDepict slices of a whole. There should not be more than five slices, and their total value should equal 100% . The largest slice should start at the top and fall to the right.  \nScatter Plots  \nDepict relationships between two variables. They are effective with large datasets and to highlight patterns or correlations. Danger: the reader may assume a cause-and-effect relationship between the X and Y axes even when there isn’t one.  \nNode-link Diagrams  \nDepict the hierarchical ordering or structure of data. This diagram is most effective when the parent node is located at the top with the others following below.  \nLine graphs  \nDepict patterns over a continuous range. They do not have to start at zero, but the data ranges should be clearly marked and the overall chart shape should retain a 5:8 height and width ratio.  \nWord Clouds  \nDepict the frequency of words within a document. If tailored by colour, size, or font, word clouds can add emphasis to specific findings.  \nHot Tip: To find out more about choosing the right chart type for your data, go to:  \n[www.juiceanalytics.com/chart-chooser](www.juiceanalytics.com/chart-chooser)  \n4. Use compelling headlines and decks to  \ndescribe the take-away message of the visualization.  \nA) Include a compelling headline to orient the viewer and communicate the main focus of the visualization. Do not capitalize all letters or make them bold.  \nB) Label the axes. Labels should always be printed horizontally to make them easier to read.  \nC) Use decks to describe what is depicted and to avoid any potential misinterpretation.  \nD) Provide source information to establish credibility.  \n5. Maximize the data-ink ratio (Edward Tufte)  \nShow the data above everything else. Eliminate all extra ink that does not show the data. Exclude redundant information, including background colour, borders, and grids.  \n6. Avoid using special effects, such as 3D graphics.  \nThe perspective added in 3D graphics distorts the data and makes it difficult to interpret accurately.  \n7. Add hierarchy to your data  \nAvoid cherry-picking data, but do not treat all data equally. Data should have an order of importance. This hierarchy can be communicated through the use of design choices (as indicated in tip 8) .  \n8. Use colour, size, and position to help the reader see what is important.  \nColour adds emphasis, highlights particular data points, and draws connections between graphs. The hue, value, and intensity of the colour are significant and may have cultural or social connotations.  \nSize and position draw attention to particular data points and show hierarchy. The top of charts and larger objects tend to draw the eye first. Cultural reading conventions also determine how people read charts.  \nColour contrast can attract the eye and draw attention to particular data points.  \nPlace the largest slices in a pie chart at the top because the eye is naturally drawn there first.  \nHot tip: Visit these websites for help with colour schemes  \n [http://design-seeds.com](http://design-seeds.com for)[ for](http://design-seeds.com for) colour scheme inspiration  \n [http://kuler.adobe.com](http://kuler.adobe.com for)[ for](http://kuler.adobe.com for) colour inspiration  \n [http://insta","cbCaipE4rWEISvEp","https://ap.wps.com/l/cbCaipE4rWEISvEp","pdf",792616,"English","# Data Visualization Tips\n## Core principles\n## Chart selection and guidance\n## Headlines, labeling, and credibility\n## Design efficiency and visual hierarchy\n## Color, size, and position\n## Tools, models, and revision","[{\"question\":\"How do you decide what message a visualization should communicate?\",\"answer\":\"Identify the relationships and patterns in the data, then focus on what you want to show. Keep the message specific so the chart supports the intended takeaway.\"},{\"question\":\"Which chart form should you choose for different kinds of data?\",\"answer\":\"Select a form based on what the data represents: bar charts for comparisons or parts of a whole, scatter plots for relationships between two variables, node-link diagrams for hierarchy, line graphs for continuous trends, and word clouds for word frequency.\"},{\"question\":\"What design choices improve readability and reduce misinterpretation?\",\"answer\":\"Use compelling headlines and decks, label axes clearly, maximize the data-ink ratio by removing non-essential ink, and avoid misleading special effects like 3D. Add a visual hierarchy and guide attention using colour, size, and position.\"}]","10 Data Visualization Tips - Practical Guidelines | PDF"]