oliviac12

#multiple condition using where VARIABLE in (Values), see example:
SELECT name, population FROM world
WHERE name in ('France', 'Germany' , 'Italy')
#if conditions includes more than one varibale, see example:
SELECT name, population, area FROM world
WHERE (area >3000000 and population < 250000000) or (area <3000000 and population > 250000000)

#if looking for partial value, use VARIABLE like "%", see example:
SELECT name FROM world
WHERE name like "United%"

oliviac12

#Python interative data viz
http://walkerke.github.io/geog30323/slides/interactive/#/

https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf

oliviac12

 #CONDITIONAL INDEPENDENCE 
 conditional independence is the same as normal independence, but restricted to the case where you know that a certain condition is 
 or isn't fulfilled. Not only can you not find out about A by finding out about B in general (normal independence), but you also 
 can't do so under the condition that there's a snow storm (conditional independence).
 source: http://math.stackexchange.com/questions/23093/could-someone-explain-conditional-independence
 

oliviac12

license: mit

oliviac12

license: mit

oliviac12

license: mit

oliviac12

license: gpl-3.0

oliviac12

license: mit

oliviac12

license: mit

oliviac12

license: mit