If we click on the icon, we’ll be able to see that this is a string and that its geographic role is of Country/Region, as it should be.Īt the same time, the tiny “Abc” icon of the “Indicator name” field shows us that this is a text value. Tableau recognizes that this field is related to actual countries, and it is ready to help us out when we need to visualize such data. The first field under “Dimensions” is “Country name” and its icon is the globe. This is what allows us to understand how Tableau reads the data. Tableau adds an icon right next to each of the fields we have under “Dimensions” and “Measures”.
The rest of the fields written without Italics are the ones we saw in the Excel file we loaded – “Country name”, “Indicator name”, and the years from 2002 to 2016, where we have countries’ GDP figures. The same thing is true for “Latitude”, “Longitude”, “Number of records”, and “Measure values” we see in green under “Measures”. When Tableau generates its own fields such as the “Measure names” field, these are fields that are not contained in our original data source, but Tableau deems that these can be useful and creates them for us. The distinction between the two is that Tableau generates certain fields based on the data it finds. Some of the fields are in italics and others aren’t. “Dimensions” are colored in blue, and “measures” are in green. Our attention should be focused on the ‘dimensions and measures’ part of the screen.įirst off, Tableau is very smart and has managed to organize our data – categorical variables are right here under “dimensions”, while numerical data, such as the countries’ actual GDP, is under “measures”. The way data is organized here is rather interesting. Let's go back to Tableau and click on “ Sheet 1”. And this is the Datasheet we are using right now. We have a few blank rows, then we have a column with country names, a column indicating that this is GDP data, and several columns with GDP figures for each of these countries. Let’s open the GDP Data Excel file for a second to make sure you are familiar with its structure.
#HOW TO CREATE A CUSTOM MAP IN TABLEAU HOW TO#
If you are new to Tableau, or you haven’t read our previous tutorial, you can learn how to load the file and get rid of the empty rows. Let’s connect Tableau to this Excel spreadsheet. Of course, we will choose one of the options depending on where the data is. We can either make a connection to a file or to a server. To create a chart in Tableau, let’s load an Excel file in Tableauįirst off, we need to learn how to connect Tableau with the data source we will be working with. Having said all that, I am sure you are eager to create some fascinating visualizations. Moreover, you’ll be able to create your first chart in Tableau very quickly – just by dragging and dropping the relevant objects you see on the interface. In this tutorial, we will show you one of a variety of data visualization tools you can choose from.
#HOW TO CREATE A CUSTOM MAP IN TABLEAU SOFTWARE#
Viktoria Hristova Published on 7 min readĪre you excited to create a chart in Tableau?Īs you already know, Tableau is an absolutely wonderful, highly intuitive software that is easy-to-understand even for beginners.
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