Wednesday, April 19, 2006
Charting traffic in bangalore

For my upcoming session at Barcamp, I took the last four years of posts and comments stats for
The community’s most active period was between May 2004 and May 2005. Comment spikes appear to correlate with post spikes. If both are redrawn to a percentage scale using daily instead of monthly stats, it should be easier to identify the volatile periods. How do I do that in Excel? What charting app should I use?
That huge spike in April 2005 (1209 comments) is clearly the work of our friends at
- Within the community (above mentioned friends and their brethren),
- Within LiveJournal (invite codes removed Dec 2003, spike from 81 to 236 comments in Jan 2004, remains above 100 henceforth), or
- Elsewhere (Rajkumar dies, riots in Bangalore Apr 2006, 535 comments).
clueless_rebel — Apr 19, 2006 9:15:50 PM — # ↩
I use this site http://nces.ed.gov/nceskids/graphing/ to create graphs for my projects.
Good Luck!
bluesmoon — Apr 19, 2006 9:51:48 PM — # ↩
ravi — Apr 19, 2006 11:14:51 PM — # ↩
jd_knight — Apr 19, 2006 11:23:48 PM — # ↩
..and its really cool! http://nubyonrails.com/pages/gruff
ga_woo — Apr 19, 2006 11:53:40 PM — # ↩
jd_knight — Apr 20, 2006 1:51:44 AM — # ↩
and yes, these demo graph pics generated using gruff are worth drooling over.. !
http://geoffreygrosenbach.com/projects/show/5
ga_woo — Apr 21, 2006 1:16:33 AM — # ↩
sumit_mittal — Apr 20, 2006 4:22:53 AM — # ↩
Kiran Jonnalagadda — Apr 20, 2006 7:41:01 AM — # ↩
sumit_mittal — Apr 21, 2006 12:28:51 AM — # ↩
Kiran Jonnalagadda — Apr 21, 2006 8:38:02 AM — # ↩
mannu — Apr 21, 2006 3:13:57 AM — # ↩
Kiran Jonnalagadda — Apr 21, 2006 8:37:30 AM — # ↩
mannu — Apr 21, 2006 1:59:22 PM — # ↩
You might still run into Flash Player security restrictions (can't load local file from disk) if you have a newer version of the player. If that happens, try running it from a local HTTP server.
ashwinne — Apr 23, 2006 8:46:59 PM — # ↩
If we presume that useless flamebait posts have a high anon-user/reg-user comments ratio, then it should be easy to automatically generate a list of such posts from the database (and also to mark them on the graph). This also means that such posts can be subtracted from the total and we get the useful posts. But, all this holds only if my premise is true.
Kiran Jonnalagadda — Apr 23, 2006 9:21:35 PM — # ↩
But that assumes the useless posts are truly useless. Could it be their entertainment value is responsible for enough people hanging around to answer the boring/useful posts?
ashwinne — Apr 23, 2006 9:31:02 PM — # ↩
I see. A balanced ecosystem.
Anonymous — Apr 24, 2006 3:38:07 PM — # ↩
Your excel sheet could be read online with zohosheet.com . Hope you would love it and if you are still interested go check out www.zoho.com