[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-563846-105":53,"doc-detail-563846-en":120},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":113,"head_meta":115,"extra_data":117,"updated_unix":119},105,"en","graph-selection-matrix-show-me-the-numbers","Graph Selection Matrix - Show Me the Numbers","","Graph Selection Matrix summarizes when to use common chart types by mapping featured relationship types to recommended visualization forms. It covers time series changes, ranking by value, part-to-whole proportions, deviation between two value sets, and distribution counts across intervals. It also explains correlation displays, geospatial positioning options, and nominal comparisons. 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For geospatial values, it favors map-based bubble views and generally marks some alternatives as not practical.","https://schema.org",{"og:url":78,"og:type":114,"og:title":59,"og:site_name":86,"og:description":61},"article",{"robots":116,"canonical":78},"index,follow",{"doc_id":118,"site_id":56},563846,1791838969,{"code":4,"msg":5,"data":121},{"doc_id":118,"user_id":122,"nickname":83,"user_avatar":123,"doc_module":9,"category_id":25,"category_name":26,"doc_title":59,"doc_description":61,"doc_content":124,"file_id":125,"file_url":126,"file_type":127,"file_size":128,"view_count":4,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":9,"language":129,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":130,"faqs":131,"seo_title":132,"seo_description":61,"update_tm":119,"read_time":4},687212988360,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Graph Selection Matrix  \nValue-Encoding Objects  \nPoints Lines Bars Boxes  \n\n| Featured\u003Cbr>Relationships | Scatter Plot |  | | \u003Cbr>| \u003Cbr>|\n| --- | --- | --- | --- | --- | --- |\n|  | | | |  |  |\n| Time Series\u003Cbr>Values display how something changed through time (yearly, monthly, etc. ) | Sometimes (As a dot plot, if values occur at irregular intervals of time) |  | Often (To feature overall trends and patterns and to support their comparisons) | Sometimes (Vertical bars only, to feature individual values and to support their comparisons) | Sometimes (Vertical boxes only, to display how a distribution changes through time) |\n| Ranking\u003Cbr>Values are ordered by size (descending or ascending) | Sometimes (As a dot plot, especially when the quantitative scale does not begin at zero) |  | Sometimes (As a bumps chart, to show how rankings change through time) | Often | Sometimes (To display a ranked set of distributions) |\n| Part-to-Whole\u003Cbr>Values represent parts (proportions) of a whole (for example, regional portions of total sales) | Sometimes ( Especially when the visual weight of bars creates excessive clutter) |  | Sometimes (To display how parts of a whole have changed through time) | Often | Sometimes (When displaying typical partto-whole values along with the ranges across which they vary) |\n| Deviation\u003Cbr>The difference between two sets of values (for example, the variance between actual and budgeted expenses) | Sometimes (As a dot plot, especially when the quantitative scale does not begin at zero) |  | Often (When also featuring a time series) | Often | Sometimes (When displaying typical deviation values along with the ranges across which they vary) |\n| Distribution\u003Cbr>Counts of values per interval from lowest to highest (for example, counts of people by age intervals of 10 years each) | Often (As a strip plot, to feature individual values in one or more distributions) |  | Often (As a frequency polygon, to feature the overall shape of one or more distributions) | Often (As a histogram, especially when displaying a single distribution) | Often (Only when comparing multiple distributions) |\n| Correlation\u003Cbr>Comparison of two or more sets of values to determine if there is a relationship between them | Often (As a scatter plot, when displaying the relationship between two sets of values) |  | Sometimes (Only when summarizing correlations as lines of best fit without displaying individual correlation values) | Sometimes (As a table lens, especially when your audience is not familiar with scatter plots) | Never |\n| Geospatial\u003Cbr>Values are located in space (e.g. , on a map) to show their location | Often (As bubbles of various sizes on a map) |  | Sometimes (To display routes on a map) | Sometimes (Only when there is enough space for bars to vary enough in length for easy comparisons) | Never (Although you might want to show distributions using boxes on a map, it isn’t practical) |\n| Nominal Comparison\u003Cbr>A simple comparison of unordered discrete values | Sometimes (As a dot plot, especially when the quantitative scale does not begin at zero) |  | Never | Often | Never (A nominal comparison consists solely of discrete values along a nominal  scale)  |\n\n[www.PerceptualEdge.com](www.PerceptualEdge.com) Associated with the book © Stephen Few 2004-2018  \nShow Me the Numbers","cbCaiv0Nd0jKQpYi","https://ap.wps.com/l/cbCaiv0Nd0jKQpYi","pdf",70428,"English","# Value-Encoding Objects\n## Featured Relationships and Recommended Graph Types","[{\"question\":\"What is the purpose of the Graph Selection Matrix?\",\"answer\":\"It helps choose suitable graph types for different kinds of data relationships by stating when each visualization works best.\"},{\"question\":\"Which chart types are suggested for time series comparisons?\",\"answer\":\"Time series guidance recommends different options such as dot plots for irregular intervals, overall trend-focused bars, and boxes to show how distributions change over time.\"},{\"question\":\"How does the matrix handle correlation and geospatial data?\",\"answer\":\"For correlation, it recommends scatter plots for relationships and notes limits for other encodings. For geospatial values, it favors map-based bubble views and generally marks some alternatives as not practical.\"}]","Graph Selection Matrix - Show Me the Numbers | PDF"]