Point and line GIS data such as tree locations, rivers, and streets all fall into the category of discrete datasets. The difference between discrete and continuous data can be drawn clearly on the following grounds: Discrete data is the type of data that has clear spaces between values. In comparison to discrete data, continuous data give a much better sense of the variation that is present. In the second chart, you can format and edit the axis. Discrete data is geographic data that only occurs in specific locations. Continuous & Aggregated vs. Dis-aggregated. Remember part 2 of this series where I talked about managing data properties. As mentioned earlier measures are aggregated by default. Point and line GIS data such as tree locations, rivers, and streets all fall into the category of discrete datasets. Caitlin Dempsey | June 7, 2020June 7, 2020 | GIS Data. In the first chart we have the sum of sales and only one mark in the view: For the second chart, I have unchecked ‘Aggregate Measures’ under ‘Analysis’…. The same applies to numerical dimensions. The Look of Maps: An Examination of Cartographic Design, 2020 Gift Guide For the GIS Person in Your Life, How to Create Public Transport Isochrones in ArcGIS Pro, Converting Historical Maps to Satellite-Like Imagery, The Potential Role of GIS in COVID-19 Vaccine Distribution. Referring to last week, MONTH(Order Date) is the dimension in the view, the independent variable. Feel free to use the comments for feedback or reach out to me on twitter! For example, to evaluate the accuracy of the weight printed on the product box. …and get one mark for every record in my data source. This also means that it sets the level of aggregation. Some data are continuous but measured in a discrete way. The confusion is caused by the default setting of Tableau that a measure is categorized as continuous and a dimension as discrete. Last week’s post was about dimensions and measures and today I will write again about fundamental ‘Tableau Concepts’: Discrete/Continuous & Aggregated/Disaggregated. • Discrete data usually occurs when data is collected by counting, but continuous data usually occurs when data is collected by taking measurements. If you shift to continuous, you create an axis that sorts the dates chronologically. Discrete data is geographic data that only occurs in specific locations. See again our example after bringing in Category and Sub-Category. To sum up: you should now know that there are a lot of possible combinations for your data fields. Discrete data involves round, concrete numbers that are determined by counting. Lei Chen illustrates this with the following example: What’s the difference between these two charts? Becoming a Tableau Desktop Specialist – Part 4: Discrete vs. (The number of marks in the view is calculated with the size()-function; you can also see this information on the left bottom of your view.). I’ve read a lot about it but for me everything clicked into place after watching the free training video from the Tableau website, where they pointed out that…, “The way Tableau calculates depends on the aggregation of the data – therefore it depends on the granularity of the view.”, I will keep this in mind and never forget . Mapping Carbon Dioxide Emissions from Soil Respiration, Find Public GIS Data with Google’s Earth Engine Catalog. • Discrete data can take at most countable number of values, whereas continuous data can take any number of values. Make sure you know which combination to use when bringing your data fields into your viz.