feat: enable new langs (#42491)

Enable italian and portuguese
This commit is contained in:
Nicholas Carrigan (he/him)
2021-06-15 00:49:18 -07:00
committed by GitHub
parent d8d6d20793
commit f25e3e69f8
3301 changed files with 423168 additions and 6 deletions

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---
id: 5e46f7e5ac417301a38fb929
title: Demographic Data Analyzer
challengeType: 10
forumTopicId: 462367
dashedName: demographic-data-analyzer
---
# --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 [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-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.
# --hints--
It should pass all Python tests.
```js
```
# --solutions--
```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.
```

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---
id: 5e46f7e5ac417301a38fb928
title: Mean-Variance-Standard Deviation Calculator
challengeType: 10
forumTopicId: 462366
dashedName: mean-variance-standard-deviation-calculator
---
# --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 [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator).
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.
# --hints--
It should pass all Python tests.
```js
```
# --solutions--
```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.
```

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---
id: 5e46f7f8ac417301a38fb92a
title: Medical Data Visualizer
challengeType: 10
forumTopicId: 462368
dashedName: medical-data-visualizer
---
# --description--
In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-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.
# --hints--
It should pass all Python tests.
```js
```
# --solutions--
```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.
```

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---
id: 5e46f802ac417301a38fb92b
title: Page View Time Series Visualizer
challengeType: 10
forumTopicId: 462369
dashedName: page-view-time-series-visualizer
---
# --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 [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-page-view-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.
# --hints--
It should pass all Python tests.
```js
```
# --solutions--
```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.
```

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---
id: 5e4f5c4b570f7e3a4949899f
title: Sea Level Predictor
challengeType: 10
forumTopicId: 462370
dashedName: sea-level-predictor
---
# --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 [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-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.
# --hints--
It should pass all Python tests.
```js
```
# --solutions--
```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.
```