Month: November 2010

Open Source Cartoon

Jim Goodnight, Chief Executive Officer, SAS, U...
Image via Wikipedia

Ok I promised a weekly cartoon on Friday but it’s Saturday.
Last week we spoofed Larry Ellison , Jim Goodnight and Bill Gates– people who created billions of taxes for the economy but would be regarded as evil by some open source guys- though they may have created more jobs for more families than the whole Federal Reserve Bank did in 2008-10. Jobs are necessary for families. Period.

You can review it here https://decisionstats.com/wp-content/uploads/2010/11/os1.png

In Part 2- we see Open Source is actually older than Stallman (yes people are older than Stallman) – in fact open source has been around for far more time than even

Jim Goodnight’s current age- which can be revealed by using proc goodnight options=all.

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Deduping Facebook

How many accounts in Facebook are one unique customer?

Does 500 million human beings as Facebook customers sound too many duplicates? (and how much more can you get if you get the Chinese market- FB is semi censored there)

Is Facebook response rate on ads statistically same as response rates on websites or response rates on emails or response rates on spam?

Why is my Facebook account (which apparently) I am free to download one big huge 130 mb file, not chunks of small files I can download.

Why cant Facebook use URL shorteners for the links of Photos (ever seen those tiny fonted big big urls below each photo)

How come Facebook use so much R (including making the jjplot package) but wont sponsor a summer of code contest (unlike Google)-100 million for schools and 2 blog posts for R? and how much money for putting e education content and games on Facebook.

Will Facebook ever create an-in  house game?  Did Google put money in Zynga (FB’s top game partner) because it likes

games 🙂 ? How dependent is FB on Zynga anyways?

So many questions———————————————————— so little time

 

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SAS for Job Interviews

SAS Institute, Solutions
Image via Wikipedia

Yeah. I hope someone wrote a book like that.

Basically,

  1. Libname
  2. Proc Datasets
  3. Proc Import
  4. Proc Contents
  5. Proc Freq
  6. Proc Means
  7. Proc Univariate
  8. Proc Reg
  9. Proc Logistic
  10. Proc Export (to excel where you do the graphs)
  11. ODS
  12. Proc Tabulate

(note – it would be interesting to do a proc freq on all procs say used say on SAS On Demand)

Any thing else is not needed for a entry level job for a fresh grad student or job for a veteran re-trained worker.

Just like society needs science and commerce as twin pillars, analytics needs SAS (great Marketing) and R (great research) for expanding the pie of analytics which is woefully underutilized and stupidly overcapitalized by jazzy-copy-paste-data-from-query- software disguised as “intelligent software”.  R has no certification and no formal training for jobs (as yet) though this should change. SAS looks great (still) for getting jobs for grad students. R looks great (yup) for getting research jobs probably not corporate analytics jobs ?What do you think?

 

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The Writer

Sorry, the words went, we cant offer you a contract
The cheque is in the mail, said another
I will send the contract shortly, was a thirds refrain
Not now, maybe next year, decade or century

Writers, unite
Nothing to lose,
but your editors and creditors

So once again,
going back to the broken worn laptop,
hammering away keys, to ham away the stoic egoistic grief

You are in the wrong country, color, class,
Just when you thought you got the hang of the game,
The game flipped, from rugby to basketball,
but not quite cricket.

You have been hanging out with the rich kids again,
with the richness of your thoughts to compensate,
for the inadequacy of your pocket.

Time to come back,
Dear writer,
It is time to write.

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Business Intelligence and Stat Computing: The White Man's Last Stand

Unknown White Male
Image via Wikipedia

Name an industry in which top level executives are mostly white males, new recruits are mostly male (white or Indian/Chinese), women are primarily shunted into publicity relationships, social media or marketing.

Statistical Computing And Business Intelligence are the white man’s last stand to preserve an exclusive club of hail fellow well met and lets catch up after drinks culture. Newer startups are the exception in the business intelligence world , but  a whiter face helps (so do an Indian or Chinese male) to attract a mostly male white venture capital industry.

I have earlier talked about technology being totally dominated by Asian males at grad student level and ASA membership almost not representing minorities like blacks and yes women- but this is about corporate culture in the traditional BI world.

If you are connected to the BI or Stat Computing world, who would you rather hire AND who have you actually hired- with identical resumes

White Male or White Female or Brown Indian Male/Female or Yellow Male/Female or Black Male or Black Female

How many Black Grad Assistants do you see in tech corridors- (Nah- it is easier to get a  hard working Chinese /Indian- who smiles and does a great job at $12/hour)

How many non- Asian non white Authors do you see in technology and does that compare to pie chart below


racist image Pictures, Images and Photos

Note_ 2010 Census numbers arent available for STEM, and I was unable to find ethnic background for various technology companies, because though these numbers are collected for legal purposes, they are not publicly shared.

Any technology company which has more than 40% women , or more than 10% blacks would be fairly representative to the US population. Anecdotal evidence suggests European employment for minorities is worse (especially for Asians) but better for women.

Any data sources to support/ refute these hypothesis are welcome for purposes of scientific inquiry.

racist math image Pictures, Images and Photos

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Business Intelligence and Stat Computing: The White Man’s Last Stand

Unknown White Male
Image via Wikipedia

Name an industry in which top level executives are mostly white males, new recruits are mostly male (white or Indian/Chinese), women are primarily shunted into publicity relationships, social media or marketing.

Statistical Computing And Business Intelligence are the white man’s last stand to preserve an exclusive club of hail fellow well met and lets catch up after drinks culture. Newer startups are the exception in the business intelligence world , but  a whiter face helps (so do an Indian or Chinese male) to attract a mostly male white venture capital industry.

I have earlier talked about technology being totally dominated by Asian males at grad student level and ASA membership almost not representing minorities like blacks and yes women- but this is about corporate culture in the traditional BI world.

If you are connected to the BI or Stat Computing world, who would you rather hire AND who have you actually hired- with identical resumes

White Male or White Female or Brown Indian Male/Female or Yellow Male/Female or Black Male or Black Female

How many Black Grad Assistants do you see in tech corridors- (Nah- it is easier to get a  hard working Chinese /Indian- who smiles and does a great job at $12/hour)

How many non- Asian non white Authors do you see in technology and does that compare to pie chart below


racist image Pictures, Images and Photos

Note_ 2010 Census numbers arent available for STEM, and I was unable to find ethnic background for various technology companies, because though these numbers are collected for legal purposes, they are not publicly shared.

Any technology company which has more than 40% women , or more than 10% blacks would be fairly representative to the US population. Anecdotal evidence suggests European employment for minorities is worse (especially for Asians) but better for women.

Any data sources to support/ refute these hypothesis are welcome for purposes of scientific inquiry.

racist math image Pictures, Images and Photos

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