How to restructure data in Alteryx to get better visualizations
This week I will be showing you how to restructure your data in Alteryx to make better visualizations. Have you ever come across a data set that has so many columns it’s almost impossible to visualize? Well, worry no more! With this easy tutorial you can get a properly structured data set and with it gain meaningful insights.
Tableau works better with long and narrow data than with short and wide data. For example, the data I will be using today has months as various column headers and years as row headers. As soon as I add that data in Tableau it gives me something like this
This data format makes it difficult to compare our yearly sales on a monthly basis because each month is a different field. It would be better if all dates were in one single column with corresponding sales values. In this tutorial I will be showing you how to do just that.
First off, I will show how to get data into its proper format in Alteryx. To begin, we will first get our data by dragging a input tool onto the workflow. It is the second tool in the favourites palette. Drag that tool and select the file that needs to be restructured.
Once you have configured the input tool, you will be able to see a quick preview of records. The next step is to actually change the structure of our data using the transpose tool. It is in the Transform Palette.
Drag the transpose tool and configure it by selecting the key columns. Key columns are the columns you do not want to pivot. They act like a identifier on which basis the data is aggregated after being transposed. In this case, the key column would be Year as I want to transpose all the Months.
After running this you will find that the data is now long and narrow as opposed to the previously short and wide data.
After adding a simple formula to merge the year and month field. I have the final result which I can save using a output tool.
You can use this data to build fun visualizations in Tableau which will also give you some new insights!
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