https://gramener.com/playground/senate/similarity tells you how similarly/dissimilarly senators vote and also the themes they agree/disagree upon.
When senator ‘X’ votes a ‘Yea’ or ‘Nay’ what are the chances that senator ‘Y’ would do the same? This tool allows you to find out the similarity in voting patterns of senators of the 115th Congress.
We know that senator Joe Manchin is a ‘moderate’ Democrat but how do we prove that through data? This exploratory visualization lets you do just that.
The dark stroked circle at the center is the selected senator. The distance between the senator and other senators around him/her defines the voting similarity score. Closer to the center greater the similarity in voting pattern and vice versa. Clicking on any senator allows you to view the Voting Similarity score & also the issues the senators agree/disagree on.
What makes this project innovative?
What was the impact of your project? How did you measure it?
The Global Investigative Journalism Network (GIJN) listed the visualization in their 'This Week’s Top Ten in Data Journalism' - https://gijn.org/2017/12/07/this-weeks-top-ten-in-data-journalism-7/
The visual techniques used in this work in particular inspired the data community to discussing merits and demerits of the representation. Dataviz guru Alberto Cairo described it as a ‘simple but rich graphic’. Famed Statistician Andrew Gelman wrote a critique of the viz suggesting improvements – Alberto Cairo responded with a powerful improvisation.
Source and methodology
The analysis was done using python and the pandas library.
The visualization was created using the d3 library.