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Study Notes 7.23.16

7/31/2016

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from Tableau 201
 
First, holy cow! What an awesome resource Ryan has put together!! 
Shaping data
  • It's optimal to have one column representing one field (layout is vertical not horizontal)
  • One recommendation for time: if it's presented as 1Q16, add a column to data for the actual date (3/31/16) 
Measures vs Dimensions
  • Measure is quantitative and dependent (i.e Sales by itself just gives you a total but a  dimension will give it context (sales by region) 
  • General rule of thumb: measure is a number, dimension is what to slice & dice by
  • A good question to ask when you have numbers as data items, does it make sense to sum it up? If yes, then measure. If no, then it's likely a dimension. 
  • When null is the first value, Tableau may misclassify because the first value is a string. 
Discrete vs Continuous 
  • Discrete is blue, continuous is green pill (Emma Whyte would smack me for using the incorrect term of pill).
  • Discrete fields draw headers (which can be sorted) while continuous draw axes (cannot be sorted).
Level of Detail for a View
  • The detail marks card allows you add a dimension which can take a view from a high level of aggregation to be more granular (defined by that dimension). 
    • It's not the only way but another way that may help the viz process flow better. 
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