chore(i8n,learn): processed translations

curriculum/challenges/espanol/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.md

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+---
+id: 5e46f7e5ac417301a38fb929
+title: Demographic Data Analyzer
+challengeType: 10
+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 Repl.it](https://repl.it/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.
+```

curriculum/challenges/espanol/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.md

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+---
+id: 5e46f7e5ac417301a38fb928
+title: Mean-Variance-Standard Deviation Calculator
+challengeType: 10
+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 Repl.it](https://repl.it/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.
+```

curriculum/challenges/espanol/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.md

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+---
+id: 5e46f7f8ac417301a38fb92a
+title: Medical Data Visualizer
+challengeType: 10
+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 Repl.it](https://repl.it/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.
+```

curriculum/challenges/espanol/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md

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+---
+id: 5e46f802ac417301a38fb92b
+title: Page View Time Series Visualizer
+challengeType: 10
+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 Repl.it](https://repl.it/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.
+```

curriculum/challenges/espanol/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.md

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+---
+id: 5e4f5c4b570f7e3a4949899f
+title: Sea Level Predictor
+challengeType: 10
+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 Repl.it](https://repl.it/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.
+```