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curriculum/challenges/chinese/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
---
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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/@freeCodeCamp/fcc-demographic-data-analyzer).
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.

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curriculum/challenges/chinese/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
---
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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/@freeCodeCamp/fcc-mean-var-std).
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.

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curriculum/challenges/chinese/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
---
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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/@freeCodeCamp/fcc-medical-data-visualizer).
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.

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curriculum/challenges/chinese/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
---
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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/@freeCodeCamp/fcc-time-series-visualizer).
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.

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curriculum/challenges/chinese/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
---
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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/@freeCodeCamp/fcc-sea-level-predictor).
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.