Recently, the Data Science DC Meetup group held a competition for their members to visualize their RSVP data. I did not have too much time, but I took a stab at trying to visualize the data. In one approach, I simply clustered the Meetup event titles into 4 groups using the k-means algorithm, and from each group/cluster, I created word clouds. In another approach, I built a n-by-n co-occurrence matrix, where n is the number of members and each matrix cell value was the number of times the i-th and j-th members went to the same Meetup event. From this matrix, I built a maximum weight spanning tree (MWST) where each vertex corresponded to a member and each edge was weighted by the co-occurrence value. I then visualized this MWST using the Yifu Han layout algorithm. The original data and visualizations may be downloaded below.

- Original data.
- Word cloud visualization.
- Social network visualization.

As usual, cheers! Sib ntsib dua mog!

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