From the course: Cleaning, Transforming and Prepping Your Data With Tableau Prep
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Flight delays - Tableau Tutorial
From the course: Cleaning, Transforming and Prepping Your Data With Tableau Prep
Flight delays
- [Instructor] Here's an example flow that was looking at flight delays. So, the initial input for this was a dataset based on flights in the first week of July. So, the first thing that had to be done was to clean some of this data up, so we can see in the Changes pane, all the change that happened in this particular step. So, we can see that first thing was we had to split the airline description to turn it into two separate fields. Those fields got renamed, so they'd mean something later one, rather than just the split name. We can then see that there was some grouping because Southwest Airlines was represented by a number of different values in that dataset and then there was some filtering to get rid of some erroneous data. We had flight numbers that were minus 99 which seems pretty meaningless. That was all happening on this single input file. So, let's look what happened next in the flow. As is typical, we needed to bring in more data, so in this case, we've got week two and…
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