2024: Week 13 - Solution



Solution by Tom Prowse and you can download the workflow here. 



Step 1 - Input Data

The first step is to ensure that we have all of the data that we require from the multiple different sheets within the input. As they all have a similar structure we can use the union multiple tables functionality to input these as a single input. We want to include all of the sheets within the input:



Within our input the File Paths field can become our Year field and the table should look like this: 



Step 2 - Easter Week Number

Now we have all of the data in our workflow we can start to calculate the week number that Easter occurs in each year. To do this we want to duplicate the Sales Date field, and then convert this to a Week Number using the Convert Dates functionality.



This will then become our Week Number field. 

Then to find the Easter Week Number we can rank these weeks to get the 12 previous weeks that the Easter products have been released. We need to group by Year and use a dense rank based on the Week Number in an ascending order.


This allows us to give the 12 weeks a common week number instead of the actual week number within the year. 



Step 3 - Weekday

Now we have the Easter week number we can then see what day of the week the sales were made on.

First we need to identify the day of the week so we can again duplicate the Sales Date field then convert this to the Day of the Week: 



Then using this field we can create an abbreviated weekday name as in the requirements. For the majority of the days we can just take the first letter, but for Tuesday/Thursday and Saturday/Sunday we need to take the first 2 letters. 

Weekday 
IF STARTSWITH([Sales Date-1],'T') OR STARTSWITH([Sales Date-1],'S')
THEN LEFT([Sales Date-1],2)
ELSE LEFT([Sales Date-1],1)
END

We can then give each of these days an associated number by using the Year & Easter Week Number and ranking them based on the Sales Date: 

 


Finally, the last part of the challenge is to calculate the Sales by multiplying the Quantity by the Price: 

Sales 
[Quantity Sold]*[Price]

We are then ready to output the data as per the requirements:


You can download the output from here. If you want to check your results. 

After you finish the challenge make sure to fill in the participation tracker, then share your solution on Twitter using #PreppinData and tagging @Datajedininja, @JennyMartinDS14 & @TomProwse1

You can also post your solution on the Tableau Forum where we have a Preppin' Data community page. Post your solutions and ask questions if you need any help! 

Popular posts from this blog

2024: Week 1 - Prep Air's Flow Card

Image
Created by: Carl Allchin Welcome to a New Year of Preppin' Data challenges. For anyone new to the challenges then let us give you an overview how the weekly challenge works.  Each Wednesday the Preppin' crew (Jenny, myself or a guest contributor) drop a data set(s) that requires some reshaping and/or cleaning to get it ready for analysis.  You can use any tool or language you want to do the reshaping (we build the challenges in Tableau Prep but love seeing different tools being learnt / tried). Share your solution on LinkedIn, Twitter/X, GitHub or the Tableau Forums Fill out our tracker so you can monitor your progress and involvement The following Tuesday we will post a written solution in Tableau Prep (thanks Tom) and a video walkthrough too (thanks Jenny) As with each January for the last few years, we'll set a number of challenges aimed at beginners. This is a great way to learn a number of fundamental data preparation skills or a chance to learn a new tool — New Year&
Read more

2023: Week 1 The Data Source Bank

Image
 Created by: Carl Allchin Welcome to a New Year of Preppin' Data. These are weekly exercises to help you learn and develop data preparation skills. We publish the challenges on a Wednesday and share a solution the following Tuesday. You can take the challenges whenever you want and we love to see your solutions. With data preparation, there is never just one way to complete the tasks so sharing your solutions will help others learn too. Share on Twitter, LinkedIn, the Tableau Forums or wherever you want to too. Tag Jenny Martin, Tom Prowse or myself or just use the #PreppinData to share your solutions.  The challenges are designed for learning Tableau Prep but we have a broad community who complete the challenges in R, Python, SQL, DBT, EasyMorph and many other tools. We love seeing people learn new tools so feel free to use whatever tools you want to complete the challenges.  A New Year means we start afresh so January's challenges will be focused on beginners. We will use dif
Read more

How to...Handle Free Text

Image
Free isn't always a good thing. In data, Free text is the example to state when proving that statements correct. However, lots of benefit can be gained from understanding data that has been entered in Free Text fields. What do we mean by Free Text? Free Text is the string based data that comes from allowing people to type answers in to systems and forms. The resulting data is normally stored within one column, with one answer per cell. As Free Text means the answer could be anything, this is what you get - absolutely anything. From expletives to slang, the words you will find in the data may be a challenge to interpret but the text is the closest way to collect the voice of your customer / employee. The Free Text field is likely to contain long, rambling sentences that can simply be analysed. If you count these fields, you are likely to have one of each entry each. Therefore, simply counting the entries will not provide anything meaningful to your analysis. The value is in
Read more