gaspersic/freeCodeCamp
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

chore(learn): Applied MDX format to Chinese curriculum files (#40462)

Browse Source
This commit is contained in:
Randell Dawson
2020-12-16 00:37:30 -07:00
committed by GitHub
parent 873fce02a2
commit 9ce4a02a41
1665 changed files with 58741 additions and 88042 deletions
Download Patch File Download Diff File Expand all files Collapse all files

37
curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.md
View File

@ -3,46 +3,23 @@ id: 5e46f7e5ac417301a38fb929
challengeType: 10
---
## Description
<section id='description'>
# --description--
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer).
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
# --hints--
</section>
It should pass all Python tests.
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```js
```
</section>
# --solutions--
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

37
curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.md
View File

@ -3,46 +3,23 @@ id: 5e46f7e5ac417301a38fb928
challengeType: 10
---
## Description
<section id='description'>
# --description--
Create a function that uses Numpy to output the mean, variance, and standard deviation of the rows, columns, and elements in a 3 x 3 matrix.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-mean-var-std' target='_blank'>the full project description and starter code on repl.it</a>.
You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-mean-var-std).
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
# --hints--
</section>
It should pass all Python tests.
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```js
```
</section>
# --solutions--
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

37
curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.md
View File

@ -3,46 +3,23 @@ id: 5e46f7f8ac417301a38fb92a
challengeType: 10
---
## Description
<section id='description'>
# --description--
In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-medical-data-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-medical-data-visualizer).
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
# --hints--
</section>
It should pass all Python tests.
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```js
```
</section>
# --solutions--
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

37
curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md
View File

@ -3,46 +3,23 @@ id: 5e46f802ac417301a38fb92b
challengeType: 10
---
## Description
<section id='description'>
# --description--
For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-time-series-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-time-series-visualizer).
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
# --hints--
</section>
It should pass all Python tests.
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```js
```
</section>
# --solutions--
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

37
curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.md
View File

@ -3,46 +3,23 @@ id: 5e4f5c4b570f7e3a4949899f
challengeType: 10
---
## Description
<section id='description'>
# --description--
In this project, you will analyze a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-sea-level-predictor' target='_blank'>the full project description and starter code on repl.it</a>.
You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-sea-level-predictor).
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
# --hints--
</section>
It should pass all Python tests.
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```js
```
</section>
# --solutions--
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>