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feat: update backend project links (#39314)

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* feat: update backend project links

Replace solution and remix Glitch links with equivalent Repl.it links in backend projects/challenges and intro pages.

* fix: link and Repl.it casing

* fix: update mention of glitch in testing challenge

* Apply suggestions from code review

Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>

Co-authored-by: Mrugesh Mohapatra <1884376+raisedadead@users.noreply.github.com>
Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
This commit is contained in:
Kristofer Koishigawa
2020-08-18 06:38:16 +09:00
committed by GitHub
parent 9a4976bd57
commit 6b3c61c737
95 changed files with 141 additions and 138 deletions
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2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.english.md
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@ -10,7 +10,7 @@ isRequired: true
<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/@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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.english.md
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@ -10,7 +10,7 @@ isRequired: true
<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/@freeCodeCamp/fcc-mean-var-std' 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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.english.md
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@ -10,7 +10,7 @@ isRequired: true
<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/@freeCodeCamp/fcc-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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.english.md
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@ -10,7 +10,7 @@ isRequired: true
<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/@freeCodeCamp/fcc-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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.english.md
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@ -10,7 +10,7 @@ isRequired: true
<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/@freeCodeCamp/fcc-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.