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
|
|
|