Submission for Data Artistry Tournament (2018)

Demo

• Performance of IPL teams on Indian grounds
• Effect of toss on match results
• Change in the performance (Average Score, Win/Loss Ratio) of teams over time
• Most frequent bowler/batsman pair (dismissal)
• 100 balls of IPL (dot matrix)

Why did you use this tool?

I have used D3 as the core tool for the visualization. The main reason is the maturity the project provides, both in terms of features/API and community support. Also, I have used MapBox for one of map charts.

Why did you pick the particular dataset?

I am a Cricket fan, was a great fielder and a medium fast bowler in my childhood. Also, I was thinking of working on another side-project using the old matches data, and them came this tournament. I would love to utilize the dataset further and work on it.

Pros & cons of the tool

• D3 community, there are more and more tools to get people started. Be it "bl.ocks" or "blockbuilder" or the latest "observable".
• Similar to the goodness provided by GitHub, you can fork an existing block and implement it according to your needs.

• I find that writing D3 is a little verbose. I haven't tried Vega and other DSL sort of toos, would love to frame an opinion about them too.

Ease of implementation / adoption

If I'm getting this question correctly, it was relatively easy for the chart other than the "slopegraph" that I've created. For it, I have used a block as a reference and it was the tough part. Overall, D3 is one my favorite tools anyway.

All I could do in two days

As my teamname (timeconstraint) for the tournament suggests, I didn't get much time to work on it. (Worked only on March 4 and 9)

Pravendra Singh