2021: Week 26 Rolling Weekly Revenue

Challenge by: Carl Allchin

For any analyst, you are likely to get asked to use some complex calculations. For me, rolling or moving calculations are one that I've always preferred to do in the data preparation step rather than when trying to visualise the data if possible. It's saved me from some mistakes! 

This week's challenge is looking at creating moving calculations. By this let's use the example below, where on 5th January (yes British date format), if we wanted to understand a rolling week's values, you can include 3 days before the 5th (ie the 2nd, 3rd and 4th) as well as 3 days after the 5th (ie the 6th, 7th and 8th). 


Clearly you need to define what your rolling period should include or not. A rolling week could look backwards for 6 days inclusive of the current date or 7 days if you don't use the current date. You could look the same period forward but ultimately you have to articulate what you are covering to your audience. The nature of the data might also influence the decision you are taking. 

Challenge

Create a rolling weekly total and average for each Prep Air destination and an overall number for all destinations. The rolling week is as detailed above, 3 days before and 3 days after a date as well as that day itself. 

Input

One csv file:



Requirements

  • Input data
  • Create a data set that gives 7 rows per date (unless those dates aren't included in the data set). 
    • ie 1st Jan only has 4 rows of data (1st, 2nd, 3rd & 4th)
  • Remove any additional fields you don't need 
  • Create the Rolling Week Total and Rolling Week Average per destination
    • Records that have less than 7 days data should remain included in the output
  • Create the Rolling Week Total and Rolling Week Average for the whole data set
  • Pull the data together for the previous two requirements
  • Output the data

Output


One table:

Four data fields:
  • Destination
  • Date
  • Rolling Week Avg
  • Rolling Week Total
360 rows (361 including headers)

Here's our full output for comparison. Remember we don't care about the order of the columns or rows as Tableau Desktop will import them in whatever order they come in!

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