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Median Contributions vs Average in Table
May be better to do Median instead of Average to account for outliers (Kaplan) and to get a sense of where many of the contributions lie.
+1
Spike openoakland.org www.stealingbeautyphotography.com
On Tue, Aug 26, 2014 at 7:48 PM, John Osborn [email protected] wrote:
May be better to do Median instead of Average to account for outliers (Kaplan) and to get a sense of where many of the contributions lie.
— Reply to this email directly or view it on GitHub https://github.com/openoakland/opendisclosure/issues/175.
+1 to all.
I think medians are better, but Phil's right that more people know what "average" means, and if we're going to use Median, the simple explanation he provided is perfect.
On Tue, Sep 9, 2014 at 4:41 PM, Phil Wolff [email protected] wrote:
"Half of all contributions were above this and half below"
— Reply to this email directly or view it on GitHub https://github.com/openoakland/opendisclosure/issues/175#issuecomment-55052830 .
Tony Barreca LinkedIn: http://www.linkedin.com/in/tonybarreca Skype: tonybarreca Twitter: tbarreca Mobile: (510) 710-5864
Median solves the problem of Bill Gates walking into a bar and everyone's a millionaire on average.
Naked Data FTW
On Tue, Sep 9, 2014 at 4:51 PM, Phil Wolff [email protected] wrote:
Median solves the problem of Bill Gates walking into a bar and everyone's a millionaire on average.
— Reply to this email directly or view it on GitHub https://github.com/openoakland/opendisclosure/issues/175#issuecomment-55053514 .
John C. Osborn Digital Communications Manager EdSource 707-845-7332 www.johncosborn.com @bayreporta Flickr: thereporta
STATEMENT OF CONFIDENTIALITY The information contained in this electronic message and any attachments may contain confidential or privileged information intended for the exclusive use of the addressee(s). If you are not the intended recipient, please notify the sender by reply e-mail and destroy all copies of the original message and any attachments. In accordance with Electronic Communications Privacy Act, 18 U.S.C.§§ 2510-2521.
I mean Naked Statistics FTW
On Tue, Sep 9, 2014 at 4:52 PM, John C. Osborn [email protected] wrote:
Naked Data FTW
On Tue, Sep 9, 2014 at 4:51 PM, Phil Wolff [email protected] wrote:
Median solves the problem of Bill Gates walking into a bar and everyone's a millionaire on average.
— Reply to this email directly or view it on GitHub https://github.com/openoakland/opendisclosure/issues/175#issuecomment-55053514 .
John C. Osborn Digital Communications Manager EdSource 707-845-7332 www.johncosborn.com @bayreporta Flickr: thereporta
STATEMENT OF CONFIDENTIALITY The information contained in this electronic message and any attachments may contain confidential or privileged information intended for the exclusive use of the addressee(s). If you are not the intended recipient, please notify the sender by reply e-mail and destroy all copies of the original message and any attachments. In accordance with Electronic Communications Privacy Act, 18 U.S.C.§§ 2510-2521.
John C. Osborn Digital Communications Manager EdSource 707-845-7332 www.johncosborn.com @bayreporta Flickr: thereporta
STATEMENT OF CONFIDENTIALITY The information contained in this electronic message and any attachments may contain confidential or privileged information intended for the exclusive use of the addressee(s). If you are not the intended recipient, please notify the sender by reply e-mail and destroy all copies of the original message and any attachments. In accordance with Electronic Communications Privacy Act, 18 U.S.C.§§ 2510-2521.
That was good for a laugh! Thanks!
On Tue, Sep 9, 2014 at 4:51 PM, Phil Wolff [email protected] wrote:
Median solves the problem of Bill Gates walking into a bar and everyone's a millionaire on average.
— Reply to this email directly or view it on GitHub https://github.com/openoakland/opendisclosure/issues/175#issuecomment-55053514 .
Tony Barreca LinkedIn: http://www.linkedin.com/in/tonybarreca Skype: tonybarreca Twitter: tbarreca Mobile: (510) 710-5864
I thought the plan was to keep it as an average of itemized contributions, with the exception of removing the candidates' personal funds contributions from that average. That's the way I would go
I'd love a book on Naked Data, btw. A sequel to Naked Statistics. How data wranglers think about data.