feat: Add more video challenges (#38598)

Co-authored-by: Tom <20648924+moT01@users.noreply.github.com>
This commit is contained in:
Beau Carnes
2020-04-21 12:42:19 -04:00
committed by Mrugesh Mohapatra
parent cb88dcf1e6
commit 03c9e47be9
53 changed files with 1298 additions and 202 deletions

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---
id: 5e9a093a74c4063ca6f7c14d
title: Data Analysis Example A
challengeType: 11
videoId: nVAaxZ34khk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c14e
title: Data Analysis Example B
challengeType: 11
videoId: 0kJz0q0pvgQ
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c160
title: Data Cleaning and Visualizations
challengeType: 11
videoId: mHjxzFS5_Z0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15f
title: Data Cleaning Duplicates
challengeType: 11
videoId: kj7QqjXhH6A
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15d
title: Data Cleaning Introduction
challengeType: 11
videoId: ovYNhnltVxY
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15e
title: Data Cleaning with DataFrames
challengeType: 11
videoId: sTMN_pdI6S0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c14f
title: How to use Jupyter Notebooks Intro
challengeType: 11
videoId: h8caJq2Bb9w
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c14c
title: Introduction to Data Analysis
challengeType: 11
videoId: VJrP2FUzKP0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c151
title: Jupyter Notebooks Importing and Exporting Data
challengeType: 11
videoId: k1msxD3JIxE
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c157
title: Numpy Algebra and Size
challengeType: 11
videoId: XAT97YLOKD8
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c154
title: Numpy Arrays
challengeType: 11
videoId: VDYVFHBL1AM
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c156
title: Numpy Boolean Arrays
challengeType: 11
videoId: N1ttsMmcVMM
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c152
title: Numpy Introduction A
challengeType: 11
videoId: P-JjV6GBCmk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c153
title: Numpy Introduction B
challengeType: 11
videoId: YIqgrNLAZkA
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c155
title: Numpy Operations
challengeType: 11
videoId: eqSVcJbaPdk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15b
title: Pandas Condtitional Selection and Modifying DataFrames
challengeType: 11
videoId: BFlH0fN5xRQ
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15c
title: Pandas Creating Columns
challengeType: 11
videoId: _sSo2XZoB3E
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c15a
title: Pandas DataFrames
challengeType: 11
videoId: 7SgFBYXaiH0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c159
title: Pandas Indexing and Conditional Selection
challengeType: 11
videoId: -ZOrgV_aA9A
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c158
title: Pandas Introduction
challengeType: 11
videoId: 0xACW-8cZU0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c164
title: Parsing HTML and Saving Data
challengeType: 11
videoId: bJaqnTWQmb0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c166
title: Python Functions and Collections
challengeType: 11
videoId: NzpU17ZVlUw
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c165
title: Python Introduction
challengeType: 11
videoId: PrQV9JkLhb4
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c167
title: Python Iteration and Modules
challengeType: 11
videoId: XzosGWLafrY
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c162
title: Reading Data CSV and TXT
challengeType: 11
videoId: ViGEv0zOzUk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c163
title: Reading Data from Databases
challengeType: 11
videoId: MtgXS1MofRw
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c161
title: Reading Data Introduction
challengeType: 11
videoId: cDnt02BcHng
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a093a74c4063ca6f7c150
title: upyter Notebooks Cells
challengeType: 11
videoId: 5PPegAs9aLA
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed4
title: Accessing and Changing Elements, Rows, Columns
challengeType: 11
videoId: v-7Y7koJ_N0
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed3
title: Basics of Numpy
challengeType: 11
videoId: f9QrZrKQMLI
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed7
title: Copying Arrays Warning
challengeType: 11
videoId: iIoQ0_L0GvA
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed6
title: Initialize Array Problem
challengeType: 11
videoId: 0jGfH8BPfOk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed5
title: Initializing Different Arrays
challengeType: 11
videoId: CEykdsKT4U4
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600eda
title: Loading Data and Advanced Indexing
challengeType: 11
videoId: tUdBZ7pF8Jg
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed8
title: Mathematics
challengeType: 11
videoId: 7txegvyhtVk
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed9
title: Reorganizing Arrays
challengeType: 11
videoId: VNWAQbEM-C8
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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---
id: 5e9a0a8e09c5df3cc3600ed2
title: What is NumPy
challengeType: 11
videoId: 5Nwfs5Ej85Q
---
## Description
<section id='description'>
</section>
## Tests
<section id='tests'>
```yml
question:
text: Question
answers:
- one
- two
- three
solution: 3
```
</section>

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@ -1,50 +0,0 @@
---
id: 5e6a54a558d3af90110a60a0
title: Introduction A
challengeType: 10
isRequired: true
---
## Description
<section id='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>.
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'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## 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>

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@ -1,50 +0,0 @@
---
id: 5e6a54af58d3af90110a60a1
title: Introduction B
challengeType: 10
isRequired: true
---
## Description
<section id='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>.
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'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## 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>

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@ -1,50 +0,0 @@
---
id: 5e6a54ba58d3af90110a60a2
title: Introduction C
challengeType: 10
isRequired: true
---
## Description
<section id='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>.
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'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## 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>

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@ -1,50 +0,0 @@
---
id: 5e6a54c358d3af90110a60a3
title: Introduction D
challengeType: 10
isRequired: true
---
## Description
<section id='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>.
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'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## 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>