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feat: update replit links to clone from repos (#39724)

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Tom
2020-09-29 23:37:53 -05:00
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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.md
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<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>.
You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-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.

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.md
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@ -8,7 +8,7 @@ challengeType: 10
<section id='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 <a href='https://repl.it/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator' 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.

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.md
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@ -8,7 +8,7 @@ challengeType: 10
<section id='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 <a href='https://repl.it/github/freeCodeCamp/boilerplate-medical-data-visualizer' 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.

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md
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@ -8,7 +8,7 @@ challengeType: 10
<section id='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 <a href='https://repl.it/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer' 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.

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.md
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@ -8,7 +8,7 @@ challengeType: 10
<section id='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 <a href='https://repl.it/github/freeCodeCamp/boilerplate-sea-level-predictor' 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.