![]() ![]() Matched and the ones in red are unmatched.įurther to the right, we see the profile pane view and the data grid We can select the join type by clicking on the diagram, and under the join, we can see the summary of results, showing what has been included in the join and what has been excluded.Ĭonfiguration pane, we can see a breakdown of join clauses. To the left, we can build a join clause or clauses, choosing which field to join and how. The join step pane provides a visual interface for configuring the join. There’s also a Table Names column, generated by Tableau, which shows which data source each row came from. Each field’s card displays a colored bar, showing which inputs went into that field. Let’s look at a union step.Ī union shows the inputs going in on the left, and on the right, we are shown the profile pane view and data grid view of the results. Joining and UnioningĬombining data can be done by either joining data or unioning it. For more information on the aggregation step, check out the article on the Aggregate Step and the Join Step. Once again, fields are shown on the left and brought either to the grouped fields’ area or the aggregated fields’ area. Next, let’s check out an aggregation step, which is indicated by the sigma symbol. For more information on the Pivot step, read the article on the Profile Pane and Pivot Step. The results, that is, the pivoted fields, are shown on the right, with a profile pane view and a data grid view. First, let’s start with a pivot step, shown by the ‘columns to rows’ icon.įields are brought in from the left side’s list of field to the Pivot Values Drop area. We can click on a step to bring up the pane related to that step. March is also pivoted, and all three months are combined with a union.Īnother data source is brought in, which brings with it sales information and aggregates it from transactional data to book-level data, then joins it with bestsellers.įinally, movie adaptation data is also brought in via another join, and an output is generated for fully cleaned and combined data. There’s a union that combines several weeks’ worth of data for February. There are a series of pivots that restructure January’s bestseller data, bringing it all together with joins. This flow can be broken down into digestible parts. Here, we have opened a more complex flow. We can also perform cleaning operations by direct interaction, such as changing the data type or renaming the field.Įach type of cleaning step we perform will be shown above the cleaning step icon and will be tracked in the changes to the left.įor more information on the cleaning step, check out the article on The Cleaning Step and Group and Replace. The cleaning operations are shown in the menu on the individual cards or the contextual toolbar. For more information, check out the article on the Profile Pane and Pivot Step. ![]() Each card displays the value in that column and the number of rows for each value. Below, we have the profile page, which shows different cards for each column in the data. We have a multitude of options to select from, a cleaning step, an aggregate, pivot, join, union, and an output.Ī cleaning step shows up as a simple bar on the flow pane. To add another step, we can click the plus sign. (You will have to select Wildcard Union for every sheet.) Cleaning Step In case of multiple sets of data, select ‘Wildcard union’. To use a new connection, simply click the plus sign on the right beside connections, select your file type and then select the sheet you want to use and drag it to the flow pane as well. If you want to remove the filter, right-click the filter option in the table and select ‘remove’. Upon clicking, you will be shown a calculations screen, where you can add the filters. In the Input pane, you can select which rows you want in your flow, and how you want to sample your data from the ‘Data Sample’ tab.įrom the ‘Multiple Files’ tab, you can add filters to the rows by clicking the ‘filter values’ option. There can be multiple input steps, and whenever you click on one, the related input pane will be brought up. This creates the first step in the flow and Input step. We will select a data file from the connections manager and drag out a table. We will open a file in the way described in the previous article. In the middle, we are shown previously opened files, and to the left, we have the connections pane. At the far right, we have the discover pane, which shows education resources and links to relevant content. When we open Tableau, we begin on the start screen. Today we’ll be discussing the interface of Tableau, how to use it, and the Input step In Tableau. Welcome back to the articles on Tableau Prep. ![]() The Tableau Prep Interface and the Input Step ![]()
0 Comments
Leave a Reply. |