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fix(curriculum): replace repl.it with replit.com (#41933)

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Replace repl.it to replit.com in the English version.  Chinese and Spanish versions have the same issue.

Co-authored-by: gemmaf98 <44875585+gemmaf98@users.noreply.github.com>
This commit is contained in:
GM Fuster
2021-04-27 16:30:04 -04:00
committed by GitHub
parent 55a1b2a5bf
commit d8ca6db29e
75 changed files with 83 additions and 83 deletions
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2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.md
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@ -9,7 +9,7 @@ dashedName: demographic-data-analyzer
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 Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-demographic-data-analyzer).
You can access [the full project description and starter code on Replit.com](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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.md
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@ -9,7 +9,7 @@ dashedName: mean-variance-standard-deviation-calculator
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 Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator).
You can access [the full project description and starter code on Replit.com](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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.md
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@ -9,7 +9,7 @@ dashedName: medical-data-visualizer
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 Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-medical-data-visualizer).
You can access [the full project description and starter code on Replit.com](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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md
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@ -9,7 +9,7 @@ dashedName: page-view-time-series-visualizer
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 Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer).
You can access [the full project description and starter code on Replit.com](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.

2
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.md
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@ -9,7 +9,7 @@ dashedName: sea-level-predictor
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 Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-sea-level-predictor).
You can access [the full project description and starter code on Replit.com](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.