44 lines
		
	
	
		
			899 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			44 lines
		
	
	
		
			899 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | id: 5e9a093a74c4063ca6f7c14d | ||
|  | title: Data Analysis Example A | ||
|  | challengeType: 11 | ||
|  | videoId: nVAaxZ34khk | ||
|  | dashedName: data-analysis-example-a | ||
|  | --- | ||
|  | 
 | ||
|  | # --description--
 | ||
|  | 
 | ||
|  | *Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.* | ||
|  | 
 | ||
|  | More resources: | ||
|  | 
 | ||
|  | -   [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example) | ||
|  | -   [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb) | ||
|  | 
 | ||
|  | # --question--
 | ||
|  | 
 | ||
|  | ## --text--
 | ||
|  | 
 | ||
|  | What does the shape of our dataframe tell us? | ||
|  | 
 | ||
|  | ## --answers--
 | ||
|  | 
 | ||
|  | The size in gigabytes the dataframe we loaded into memory is. | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | How many rows and columns our dataframe has. | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | How many rows the source data had before loading. | ||
|  | 
 | ||
|  | --- | ||
|  | 
 | ||
|  | How many columns the source data had before loading. | ||
|  | 
 | ||
|  | ## --video-solution--
 | ||
|  | 
 | ||
|  | 2 | ||
|  | 
 |