Yet, despite such lauded evidence, pie charts have become somewhat derided. Why? They\u2019re really quite elegant devices to show part-to-whole relationships. Each segment illustrates a particular category of the overall data set and its proportion compared to the other categories. What could possibly be contentious about that?<\/p>\n
Leaving the more extreme criticisms aside there\u2019s a few arguments that have some merit. Principally, pie charts can be difficult to read and interpret despite their apparent simplicity. Humans aren\u2019t especially good at estimating the area of graphical objects, and comparing areas, particularly when they are of a similar size. Therefore assessing the value of a segment and its relationship with similarly sized segments can be problematic. This argument is often supported by showing that bar charts of the same data are much easier to read, and that\u2019s because humans are better at estimating lengths in both absolute terms, and compared to bars of other similar lengths. And yet people often use pie charts even though they\u2019re potentially not as good as a well-crafted bar chart. A bar chart doesn\u2019t have that special property though \u2013 the ability to infer the \u2018whole\u2019 through its perfect circular shape.<\/p>\n
Of course, as with any form of data presentation there are also issues that depend more on the design of the chart than anything more fundamental. For instance, using too many segments, and having too many slivers of pie (no-one likes a small portion of pie!), ordering the segments in an illogical way, using colour or patterns that are hard to distinguish or are too similar to each another, and that most egregious faux-pas \u2013 tilting the pie chart into 3D and exploding the segments. There\u2019s logic in all of these design issues because they all render the chart harder to read, and make it more difficult to parse the information contained therein. And possibly the fact we see many of these errors is what leads people to be critical of the chart type. But all chart types, as with maps, can suffer from poor design. Maybe it\u2019s just that poor design is seen more often when pie charts are deployed. For instance, by punching a hole through them and making a doughnut chart! But we\u2019ll leave that food-related argument for another day.<\/p>\n
But pies come in all sorts of flavours right? So rather than dwell on the standard pie perhaps we could taste a different recipe. Recipes are often associated with particular chefs and for this recipe we\u2019re grateful for the work of Robert Kosara<\/a>, expert in data visualization and currently a Data Visualization Developer at Observable. Kosara\u2019s work<\/a> on exploring circular chart types and their ability to support part-to-whole comparisons has been fundamental to the development of a new circular chart type \u2013 the moonpie chart.<\/p>\n Kosara\u2019s research centred on exploring how respondents fared when shown a circle with a fractional section of different designs. The basic premise was to test the accuracy of estimating the fractional value (percentage), and response time among different part-to-whole designs where area was the visual cue (as it is with a pie chart).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228102,"id":2228102,"title":"PieSky4","filename":"PieSky4.png","filesize":63466,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky4","alt":"Alternative approaches to part-to-whole chart symbology (after Kosara, 2019)","author":"4951","description":"","caption":"","name":"piesky4","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:23","modified":"2024-01-18 17:42:28","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":284,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","medium-width":464,"medium-height":211,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","medium_large-width":624,"medium_large-height":284,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","large-width":624,"large-height":284,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","1536x1536-width":624,"1536x1536-height":284,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","2048x2048-width":624,"2048x2048-height":284,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","card_image-width":624,"card_image-height":284,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky4.png","wide_image-width":624,"wide_image-height":284}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" And so, if the pie chart is really as heinous as often made out then the expectation would be that most, if not all, the six alternatives would fare much better. Yet they didn\u2019t. In fact, all the alternative chart types performed worse than the humble pie chart\u2026that is, all except one. The circular slice performed the same as the pie chart in terms of people\u2019s ability to estimate the fractional value but, significantly, the response time from respondents was faster.<\/p>\n Kosara gives the circular slice the following definition: \u201cThis chart represents the value by sliding a second circle of the same size over the base circle. The edge within the circle is curved at a constant radius (the same as the containing circle). In terms of metaphor, this chart is very similar to the way lunar eclipses occur.\u201d<\/em><\/p>\n Kosara might be credited with inventing, or at least providing evidence of the value of the moonpie but it was J\u00falia Borsi and Istv\u00e1n Korompai who coined the term moonpie<\/a>. They distinguish the moonpie from the pre-existing moon chart, the latter of which takes on the appearance of the phases of the moon as viewed from Earth. A moonpie looks more like a shadow passing across the moon, as in the lunar eclipse that Kosara noted. By including the reference to a pie they maintain the connection with the original pie chart and keep the connotation that the moonpie is for illustrating part-to-whole datasets. But they also have one eye on a little playful food-related humour in that in the United States there is such a thing as a moonpie cookie, and if you take a bite out of one you\u2019ll have a bite mark that resembles a partial circular section nibbled out of the cookie.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228112,"id":2228112,"title":"PieSky5","filename":"PieSky5-e1705600072717.png","filesize":105563,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky5","alt":"Moonpie cookie","author":"4951","description":"","caption":"","name":"piesky5","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:26","modified":"2024-01-18 17:43:05","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":400,"height":164,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","medium-width":400,"medium-height":164,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","medium_large-width":400,"medium_large-height":164,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","large-width":400,"large-height":164,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","1536x1536-width":400,"1536x1536-height":164,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","2048x2048-width":400,"2048x2048-height":164,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-826x339.png","card_image-width":826,"card_image-height":339,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky5-e1705600072717.png","wide_image-width":400,"wide_image-height":164}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" And all this talk of pies, and cookies to get to the nub of this blog post, namely that I\u2019ve created a style file for use in ArcGIS Pro that contains 100 moonpie Scaleable Vector Graphics (svg) symbols, each of which represents an integer percentage bite out of the whole moonpie. You can download the style here<\/a>. Download, unzip, then add the style to an ArcGIS Pro project.<\/p>\n The default position of the percentage bite is to the right of an imaginary full circle that occupies a square symbol envelope with its geometry centred on the envelope rather than the substantive symbol. Here\u2019s the 50% symbol for example.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228122,"id":2228122,"title":"PieSky6","filename":"PieSky6-e1705600100514.jpg","filesize":353897,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-e1705600100514.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky6","alt":"Moonpie symbology basic structure with geometry","author":"4951","description":"","caption":"","name":"piesky6","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:30","modified":"2024-01-18 17:43:47","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":400,"height":400,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-e1705600100514.jpg","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-e1705600100514.jpg","medium_large-width":400,"medium_large-height":400,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-e1705600100514.jpg","large-width":400,"large-height":400,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-1536x1536.jpg","1536x1536-width":1536,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-e1705600100514.jpg","2048x2048-width":400,"2048x2048-height":400,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-465x465.jpg","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky6-1081x1080.jpg","wide_image-width":1081,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" The original colour of each svg symbol is white on a transparent background but you can colour the symbol and its outline as you wish. The following illustration shows a set of background circles symbolized using the 100 symbol in one layer, with each of the other percentage symbols in another layer above.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228132,"id":2228132,"title":"PieSky7","filename":"PieSky7.png","filesize":168497,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky7","alt":"All 100 moonpie symbols","author":"4951","description":"","caption":"","name":"piesky7","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:37","modified":"2024-01-18 17:44:26","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":543,"height":543,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","medium_large-width":543,"medium_large-height":543,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","large-width":543,"large-height":543,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","1536x1536-width":543,"1536x1536-height":543,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","2048x2048-width":543,"2048x2048-height":543,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7-465x465.png","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky7.png","wide_image-width":543,"wide_image-height":543}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" You can then use the symbol as you would any other point-based marker symbol and assign to any point feature, resize them (perhaps even as a proportional symbol), rotate them, or use the Match Layer Symbology To A Style<\/a> tool to apply symbols to an attribute that represents percentage values. This process relies on linking the symbol names (e.g. 078) to the values in your attribute (e.g. 78) using an Arcade expression in the form:<\/p>\n"},{"acf_fc_layout":"content","content":" Text($feature.Percent, ‘000’)<\/p>\n [where Percent is the name of the field containing the percentage values]<\/p>\n This allows you to match the numerical attribute value to the text string used for the symbol name. In this way you could easily use moonpie symbology to create an election map showing the percentage share of the vote for Republicans (red to the left) and Democrats (blue to the right). Here\u2019s a version of the 2020 US Presidential election result using the technique which isn\u2019t one of the 101 alternative techniques I proposed in my most recent book on Thematic Mapping which is still available from all good online retailers.<\/a> So there\u2019s now 102 different techniques (and counting\u2026).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228142,"id":2228142,"title":"PieSky8","filename":"PieSky8.png","filesize":103245,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky8","alt":"2020 US Presidential results using moonpie symbology","author":"4951","description":"","caption":"","name":"piesky8","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:41","modified":"2024-01-18 17:51:05","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":435,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","medium-width":374,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","medium_large-width":624,"medium_large-height":435,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","large-width":624,"large-height":435,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","1536x1536-width":624,"1536x1536-height":435,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","2048x2048-width":624,"2048x2048-height":435,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","card_image-width":624,"card_image-height":435,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png","wide_image-width":624,"wide_image-height":435}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky8.png"},{"acf_fc_layout":"content","content":" You can also stack layers with different symbols to create multi-part moonpie symbology. If you decide to do this then there\u2019s a little bit of additional work involved. Consider the following pie chart which illustrates values for 40% (lightest), 30%, 20% and 10% (darkest).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228152,"id":2228152,"title":"PieSky9png","filename":"PieSky9png.png","filesize":6680,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky9png","alt":"Pie chart","author":"4951","description":"","caption":"","name":"piesky9png","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:44","modified":"2024-01-18 17:51:51","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":174,"height":173,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","thumbnail-width":174,"thumbnail-height":173,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","medium-width":174,"medium-height":173,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","medium_large-width":174,"medium_large-height":173,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","large-width":174,"large-height":173,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","1536x1536-width":174,"1536x1536-height":173,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","2048x2048-width":174,"2048x2048-height":173,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","card_image-width":174,"card_image-height":173,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky9png.png","wide_image-width":174,"wide_image-height":173}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" If you stacked four layers, assumed that the background symbol (100) would represent the largest portion of moonpie, and used the symbols for 030, 020, and 010 you\u2019d get this:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228162,"id":2228162,"title":"PieSky10","filename":"PieSky10.png","filesize":7540,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky10","alt":"Incorrect multi-part moonpie","author":"4951","description":"","caption":"","name":"piesky10","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:48","modified":"2024-01-18 17:52:40","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":184,"height":184,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","thumbnail-width":184,"thumbnail-height":184,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","medium-width":184,"medium-height":184,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","medium_large-width":184,"medium_large-height":184,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","large-width":184,"large-height":184,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","1536x1536-width":184,"1536x1536-height":184,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","2048x2048-width":184,"2048x2048-height":184,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","card_image-width":184,"card_image-height":184,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky10.png","wide_image-width":184,"wide_image-height":184}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" The proportions of each slice clearly don\u2019t look right but that\u2019s because stacking layers obscures part of the symbols that are sandwiched between the top and bottom layers. In order to eliminate that occlusion we have to account for it in selecting symbols that generate the correct visual result.<\/p>\n The bottom layer can still use the 100 symbol so the background layer will represent 40% of the moonpie once the additional layers are positioned on top. The top layer can still use the 010 symbol to represent 10% because it is always fully visible. But we have to change the two in-between layers. Instead of 020 for the 20% layer, we use 030 (to reflect the 20% value we want to see, plus the 10% occluded by the layer above), and instead of 030 for the 30% layer we use 060 (30% + 20% + 10%). This accounts for the occlusion by adding the amount of occlusion to the percentage value, and shows each part of the multi-part moonpie in the correct proportions:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228172,"id":2228172,"title":"PieSky11","filename":"PieSky11.png","filesize":8131,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky11","alt":"Correct multi-part moonpie","author":"4951","description":"","caption":"","name":"piesky11","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:50","modified":"2024-01-18 17:53:16","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":181,"height":179,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","thumbnail-width":181,"thumbnail-height":179,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","medium-width":181,"medium-height":179,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","medium_large-width":181,"medium_large-height":179,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","large-width":181,"large-height":179,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","1536x1536-width":181,"1536x1536-height":179,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","2048x2048-width":181,"2048x2048-height":179,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","card_image-width":181,"card_image-height":179,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky11.png","wide_image-width":181,"wide_image-height":179}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" And before there\u2019s an outcry that creating multi-part moonpie charts\/maps is falling into the same trap as multi-segment pie charts in becoming hard to decipher then Robert Kosara has you covered again. He followed up his earlier work by exploring the readability of multi-part moonpie charts compared to pie charts (and a few other multi-part chart types) and found that multipart moonpies performed better than the pie chart equivalents<\/a>.<\/p>\n Beyond the use of moonpie symbols to create charts, and charts on a map based on data values there is the more obvious use of using them to create maps of solar eclipses and other astronomical phenomena. And putting pie in the sky is actually why I developed this set of symbols to help build a map of the 2023 annular eclipse.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2228182,"id":2228182,"title":"PieSky12","filename":"PieSky12.png","filesize":1705230,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/pie-in-the-sky\/piesky12","alt":"2023 Annular Eclipse across the United States","author":"4951","description":"","caption":"","name":"piesky12","status":"inherit","uploaded_to":2228062,"date":"2024-01-18 17:37:54","modified":"2024-01-18 17:54:07","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1358,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png","medium-width":369,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png","medium_large-width":768,"medium_large-height":543,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png","large-width":1527,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12-1536x1086.png","1536x1536-width":1536,"1536x1536-height":1086,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png","2048x2048-width":1920,"2048x2048-height":1358,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12-657x465.png","card_image-width":657,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12-1527x1080.png","wide_image-width":1527,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/PieSky12.png"},{"acf_fc_layout":"content","content":"
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