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										 |  |  | --- | 
					
						
							|  |  |  | id: 5e9a093a74c4063ca6f7c14c | 
					
						
							|  |  |  | title: Introduction to Data Analysis | 
					
						
							|  |  |  | challengeType: 11 | 
					
						
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										 |  |  | isHidden: false | 
					
						
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										 |  |  | videoId: VJrP2FUzKP0 | 
					
						
							|  |  |  | --- | 
					
						
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							|  |  |  | ## Description
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										 |  |  | <section id='description'> | 
					
						
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										 |  |  | More resources: | 
					
						
							|  |  |  | - <a href="https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk" target='_blank'>Slides</a> | 
					
						
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										 |  |  | </section> | 
					
						
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							|  |  |  | ## Tests
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										 |  |  | <section id='tests'> | 
					
						
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							|  |  |  | ```yml | 
					
						
							|  |  |  | question: | 
					
						
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										 |  |  |   text: | | 
					
						
							|  |  |  |     Why should you choose R over Python for data analysis? | 
					
						
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										 |  |  |   answers: | 
					
						
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										 |  |  |     - | | 
					
						
							|  |  |  |       It's simple to learn. | 
					
						
							|  |  |  |     - | | 
					
						
							|  |  |  |       It's better at dealing with advanced statistical methods. | 
					
						
							|  |  |  |     - | | 
					
						
							|  |  |  |       There are many powerful libraries that support R. | 
					
						
							|  |  |  |     - | | 
					
						
							|  |  |  |       It's free and open source. | 
					
						
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										 |  |  |   solution: 2 | 
					
						
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										 |  |  | ``` | 
					
						
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							|  |  |  | </section> |