Then add the dimension 'Country' to the 'Colour' section in the marks. Here we have chosen the measures '2022 Last Updated' and 'Growth Rate'. To create a scatter plot in Tableau, add measures into both rows and columns. Scatter plot is used when we need to visualize relationships between two numerical variables. Now, we have a map that displays the 2020 population of the selected countries. The colour range will be altered automatically. Now, in our visualization, data only for the selected countries will be shown and the rest will be grayed out. In that, we choose the 'Keep only' option. Once selected, a pop-up appears as we hover over any selected region. Here, we are going to keep the countries in Europe and also Russia. Then with the help of the lasso tool, outline the regions that you want to keep/discard. This allows us to select parts of the map to either keep or discard. Then click on the lasso tool from the menu options in the map. This will change the colours in our visualization. This will open up a menu with various colour palettes available.Ĭhoose a palette of preference.
Now this will generate a world map where the countries are colour coded according to their 2020 population.Ĭlick on the legend displayed in the right and choose 'Edit Colours' from the menu to edit the colour palette. By default, its aggregate value would be sum. Then, add the '2020 Population' from the list of measures to the colour in the marks section. This will generate a world map in our workspace where all the countries in our dataset are marked. Now, for creating a map, drag and drop 'Country' from the list of dimensions into the 'Detail' section in Marks. Generally Tableau displays visualizations using 'Marks' where each mark corresponds to row(s) in our dataset. The blue ones are the dimensions whereas the green ones are the measures.īeside this, we also have a 'Marks' section which allows us to customize our visualization. Tableau Separates the columns of our dataset into Measures and Dimensions which are visible in the leftmost corner of our window. Navigate to the tab named as 'Sheet 1' in the bottom left. Since we are just working with a single dataset, we will proceed to the next step. We will then be taken to the 'data source' page where we can form relationships between datasets. Drag and drop the file to upload the data. Here, we will be using the csv file '2022_population' which we downloaded earlier. Soon as the workbook is opened, it will ask us to upload the data source. Click on it to create a new workbook where we will create our visualizations. Once we are in our Tableau profile, we will see a 'Create a Viz' button as shown.
We will be using the population dataset from Kaggle for this tutorial. The visualizations in Tableau are dynamic, which means they change over time and are interactive.
You are using tableau public to create a data visualization free#
Feel free to go through Tableau's public gallery where many visualizations are available, to get an idea. Once you are in that page, create an account or log in if you are an existing user. Table of Contentsįor this tutorial, we will be using Tableau Public. In this article, we have explored how Tableau can be used for data visualization by using it on Population dataset.
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