Some graphs about the MegaLounge chain

Thanks to the data that MegaMegaMonitor collates, I’ve been able to throw together some fun statistics about the MegaLounge chain. Let me share some graphs with you:

• Number of accounts at each level
  There are 3,020 accounts authorised to access /r/MegaLounge, 906 in /r/MegaMegaLounge, 487 in /r/MegaMegaMegaLounge, 307 in /r/MegaLoungeIV, and similarly fewer and fewer in each subsequent lounge. There’s a mini “tipping point” after the x28 MegaLounge, for some reason – did everybody who got that far just decide to stop?
• Gildings per MegaLounge
  As you’d probably expect, the lower (and more-populous) MegaLounges see more gilding than the higher ones. But…
• MegaLounge generosity ratio
  …if we take the ratio of the number of gildings per MegaLounge to the number of accounts in that MegaLounge, we get a ‘generosity score’, and that’s not so clear-cut. The most generous MegaLounges are /r/MegaLoungeSol and the secret MegaLounge, followed by /r/MegaLoungeDiamond, /r/MegaLoungeRussia, /r/MegaLoungeVII, and /r/MegaLoungeVI. I wonder if these are also the lounges with the least content? Perhaps they’re places that people stop off at only as a steping stone on their journey?
  The least-generous MegaLounge is the latest one, probably because there’s nowhere to go yet as a result of being gilded there, but the second least-generous… is /r/MegaLounge itself! I feel like I should go there and gild some people, just to buck the trend!
• Most-gilded Redditors in the MegaLounges
  It’s possible to get from /r/MegaLounge up to the x35 MegaLounge with just 33 gildings, but nine Redditors have impressed others with their MegaContent so much that they’ve attracted significantly more. /u/love_the_heat leads the way with a massive 76 MegaGildings, followed by /u/Gold_4_No_Reason and /u/madazzahatter (there’s quite a gap, then, before I come in at fourth place).

This is all just something fun I threw together while I’ve been off work sick today. If there’s anything else that anybody would like to see extracted from MMM’s data, let me know: it’s all interesting stuff!