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staring -> starring #4

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6 changes: 3 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ A hypercube is useful for expressing n-dimensional analytics. Spreadsheets work
Each data set contains n-number of _fact-records_. A fact-record represents a specific combination of _facts_ at specific _time_. These attributes are used like a coordinate system. For example, consider the "Super Mario Bros. 2" video game for the Nintendo gaming system. During a 1-hour time interval, this game may have been sold 6 times, rented 43 times, and made $239.94 in revenue:

// this data is fake, but represents the standard HyperCube data format
var data = [{"time":1331773202,"facts":{"name":"Super Mario Bros. 2","platform":"Nintendo","staring":"Mario"},"measures":{"rentals":73,"sales":9,"revenue":359.91}}, {"time":1331841602,"facts":{"name":"Metroid","platform":"Nintendo","staring":"Samus"},"measures":{"rentals":43,"sales":6,"revenue":239.94}}]; // ... etc
var data = [{"time":1331773202,"facts":{"name":"Super Mario Bros. 2","platform":"Nintendo","starring":"Mario"},"measures":{"rentals":73,"sales":9,"revenue":359.91}}, {"time":1331841602,"facts":{"name":"Metroid","platform":"Nintendo","starring":"Samus"},"measures":{"rentals":43,"sales":6,"revenue":239.94}}]; // ... etc

You can see that each fact-record has _time_, _facts_, and _measures_ fields. The _time_ field can be converted to local time:

Expand All @@ -30,7 +30,7 @@ You can then do some interesting stuff:
// run some interesting queries
console.info('Total Rentals', cube.sum().rentals);
console.info('Revenue at 6pm for Super Nintendo games', '$' + cube.slice({hour: 18, platform: 'Super Nintendo'}).sum(2).revenue);
console.info('Avg rentals per hour for games staring Mario', cube.slice({staring: 'Mario'}).avg(24, 2).rentals + ' units');
console.info('Avg rentals per hour for games starring Mario', cube.slice({starring: 'Mario'}).avg(24, 2).rentals + ' units');

Source Structure
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Expand All @@ -54,4 +54,4 @@ Dedication
-----------

I'd like to dedicate this library to Ralph Kimball. This book is an excellent read:
http://www.amazon.com/The-Data-Warehouse-Toolki
http://www.amazon.com/The-Data-Warehouse-Toolki
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