Address Project Feedback - Sitanshu Rupani
This scatterplot visualizes the relationship between FIFA 19 players’ overall ratings and their weekly wages, using D3.js v4 with SVG rendering. It plots each player as a circle, with data sourced from a CSV of English Premier League players. Users can brush over the plot to highlight specific players, which triggers a table below showing their name, club, nationality, and potential. The visualization uses `d3.brush()` for selection, `d3.axisBottom` and `d3.axisLeft` for axes, and `d3.scaleLinear` for positioning, dynamically updating the table via `d3.selectAll('.brushed')`.
AI-generated descriptionThis viz is created incorporating feedback provided by Prof. Kelleher
It is a scatterplot between 'Player Wage per week' and the players' 'Overall' rating.
An interesting scatterplot which I did not think of before, this viz can help the user derive many insights.
Such as, which players have high ratings, but are poorly paid, these players may be in line for a trade to a different team for higher wages.
Conversely, we can also derive those players who are paid handsomely, eventhough they are not highly rated, these players must be avoided.
Also incorporated, are some demographic details of the player, such as the club they play for, nationality and their potential.
These details can be seen using the brush tool.
The data for this viz can be found here: FIFA 19 Players Dataset.