Today challenge its about AFL data. Lets get started!

1. Making the relationships

2. Making the story
The dashboard takes five key statistics into account when choosing the best players in Australia by position. Use filter to change position, and select to view the top 1, 2 or 3 players for example. Highlight the player to see if they match the other stats by clicking into the names. Finally, select your player to learn more about them after the analysis.

3. Deciding the charts to use

As I wanted to compare metrics, I decided to have key stats in the same row, and the give the option to highlight to get a quick overview to pick the best player.

As well, I decide to use a parameter to filter the top players, but it was a bit tricky. Let me explain you. Cause I’m using average, the top parameter doesn’t work as usual. Instead a created a calculation field with the function index() to be able to filter.

I first created the parameter, then the calculation, and finally I dragged the calculation into the filter and select true.

4.Put all chart together

In this case, using the filter actions correctly was crucial. You can do it quickly when you bring all the charts into the dashboard, but only one filter is needed. You can apply different sheets using that filter.

5. Using the filters

All right, that’s all. A player’s performance can now be determined by 05 key stats in relation to their position. Thanks for checking it out! I hope you enjoy it. I look forward to seeing you soon. You can see it in Tableau Public here.   See you soon on my next blog, and if you’re looking for new tunes while learning new cool stuff or preparing for your Alteryx certification, check out my Spotify playlist here.

 

 

Antoneely Calizaya
Author: Antoneely Calizaya

Antoneely is a curious and lifelong learner, and she has become fascinated by a wide variety of business challenges she has encountered throughout her career. She is currently pursuing a Master’s in Business Analytics and has a Bachelor’s in Management and Marketing. She is passionate about data-driven decision making and enjoys working with complex data problems. She has six years of experience including a mid-level position in management, developing projects and implementing strategies. When she matched her passions and interests, it was clear that she wanted to learn as much as she could about data analysis, data science, machine learning, and new technologies. Her favourite new platforms are Alteryx and Tableau. She’s constantly seeking new things to learn and is always up for new ways to challenge herself. She finds fascinating books about the brain, creativity, subconscious mind, and mindfulness. She enjoys hosting meetups related to fun outdoor activities. The latest hobbies she enjoys are pole fitness, video editing, illustrating with her Wacom, and she’s looking to join a footy team. Antoneely’s long-term goal is to use all her data superpowers to contribute to improving access to equitable and quality education, emphasising rural areas, and vulnerable populations.