Bilytica # 1 خدمات التابلوه في السعودية We need to link the datasets together in some way to establish a single data source. Because we’re interested in proximity analysis and Tableau Services In Saudi Arabia allows point-in-polygon spatial intersections, joining based on a distance buffer is a good place to start. All we have to do now is connect to our two data sources and utilize Tableau’s standard join interface to create a spatial intersection.

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Bilytica # 1 خدمات التابلوه في السعودية

Data Source In Tableau

Begin by selecting one of the two files in the data source window. You’ll need to add a second data source to see both files. To access the legacy join interface, double-click on the data source that is now accessible. We can now create a spatial intersection. Because spatial intersection works with points and polygons, we’ll make some polygons surrounding our schools to utilize. These will be the same buffers we looked at in the previous phase when we were investigating the datasets Tableau Services In Saudi Arabia.

We can’t make the buffer size dynamic because Tableau doesn’t presently accept parameters in join computations. We can get around this by selecting the greatest buffer size that we would wish to consider in our search خدمات التابلوه في السعودية. For this endeavor, I’m going to limit my search to one mile. With Make Point on one side and BUFFER on the other, we’ll apply a custom computation. We’ll use the ‘Intersection’ option to connect them. Every school now knows which liquor licenses are within 1 mile of their location, and every liquor shop now knows which schools (if any) are within 1 mile of their location. In Tableau, we have some smart data that is ready to be queried.

In Tableau, Create Calculated Fields For Interactive Choices

Now that our datasets have been integrated into a single data source, we can display them together to see which liquor licenses are in close proximity to our schools, and have the data change dynamically on our visualizations. We may begin by creating layers for each of the intriguing spatial items. Now we’ll add the buffers surrounding the schools to a layer. If you don’t have this calculated field, I documented it above, but you may make one using a calculated field like this:

Drop the geometry onto the viz as a new layer, and for each of those, add the school name on the detail as well, so that each buffer knows to which school it belongs. Our liquor licenses must now be included as a new layer. If you don’t already have a calculated field for the Geometry for the liquor licenses, you can make one like this the 2249 at the end is the spatial reference ID because the x and y coordinates aren’t in latitude and longitude and must be converted before being mapped. Tableau Services in Saudi Arabia allows us to do this in the Make Point calculation by simply adding the spatial reference ID.

We can now view all of our data on a single map, but the liquor licenses don’t appear to be smart enough to recognize whether or not they are near a school. That will be done in a short computed field. We can’t utilize parameters in the join computation, and we want to dynamically adjust the size of our school buffers while keeping the liquor licenses updated. To avoid the difficulty of a hard-coded join computation, we’ll just use a simple calculated field that is dynamic Tableau Services in Saudi Arabia and returns a True/False result on whether or not any specific liquor licence is located near a school.

Call us at +966547315697 or contact sales@bilytica.com for demo. خدمات التابلوه في السعودية in Jeddah Riyadh Khobar Saudi Arabia KSA team will be happy to serve you.

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خدمات التابلوه في السعودية
خدمات التابلوه في السعودية
خدمات التابلوه في السعودية
خدمات التابلوه في السعودية