/ironhack-project-3

Ironhack project, week 4: Tableau - choose a data set, explore the data using Tableau, and put together a Story for presentation showing the insights you have derived from the data. I chose to analyse the decisions and tactics of the Top 50 Fantasy Premier League managers for the 2019/20 season.

Primary LanguageJupyter Notebook

ironhack-project-3

Tableau mini-project. Analysing the decisions and tactics of the Top 50 Fantasy Premier League managers for the 2019/20 season, and presenting them in Tableau.

Project objectives:

  • Find a dataset
  • Explore the data using Tableau
  • Use Tableau to create a Story presenting the findings

Link to Tableau story: https://public.tableau.com/profile/paul.musco#!/vizhome/ironhack_03_project-FPL-1920-top50-analysis/Story1

Dataset: https://www.kaggle.com/plavak10/fpl-top-50-managers-1920?select=Top_50_fpl.xlsx

Lessons learnt:

  • Tricky to make Tableau results 'sexy' without any time/location data
  • Allow more time for cleaning data (I wanted to include indivudual player data, but the dataset I found was too messy and would've taken too long to clean)

Possible improvements:

  • Include individual player data
  • Compare top 50 performance with my own performance