chore: manual translations (#42811)
This commit is contained in:
Nicholas Carrigan (he/him)
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GitHub
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@ -14,7 +14,6 @@ More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
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# --question--
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@ -10,31 +10,30 @@ dashedName: introduction-to-data-analysis
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More resources:
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\- [Slides](https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk)
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\- [Slides](https://docs.google.com/presentation/d/1cUIt8b2ySz-85_ykfeuuWsurccwTAuFPn782pZBzFsU/edit?usp=sharing)
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# --question--
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## --text--
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Why should you choose R over Python for data analysis?
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Which of the following is **not** part of Data Analysis?
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## --answers--
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It's simple to learn.
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Building statistical models and data visualizations.
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---
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It's better at dealing with advanced statistical methods.
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Picking a desired conclusion for the analysis.
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---
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There are many powerful libraries that support R.
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Fixing incorrect values and removing invalid data.
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---
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It's free and open source.
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Transforming data into an appropriate data structure.
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## --video-solution--
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2
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@ -14,7 +14,6 @@ More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
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# --question--
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@ -14,7 +14,6 @@ More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
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# --question--
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@ -12,7 +12,7 @@ dashedName: parsing-html-and-saving-data
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas)
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-17-reading-html-tables/files)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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@ -12,7 +12,7 @@ dashedName: reading-data-csv-and-txt
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas)
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-1-reading-csv-and-txt-files/files)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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@ -12,7 +12,7 @@ dashedName: reading-data-from-databases
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas)
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-11-reading-data-from-relational-databases/files)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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@ -12,7 +12,7 @@ dashedName: reading-data-introduction
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas)
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-1-reading-csv-and-txt-files/files)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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@ -2,6 +2,7 @@
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id: 5e46f7e5ac417301a38fb929
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title: Demographic Data Analyzer
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challengeType: 10
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forumTopicId: 462367
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dashedName: demographic-data-analyzer
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---
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@ -9,7 +10,7 @@ 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.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-demographic-data-analyzer).
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You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-demographic-data-analyzer).
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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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@ -2,6 +2,7 @@
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id: 5e46f7e5ac417301a38fb928
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title: Mean-Variance-Standard Deviation Calculator
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challengeType: 10
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forumTopicId: 462366
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dashedName: mean-variance-standard-deviation-calculator
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---
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@ -9,7 +10,7 @@ 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.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator).
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You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator).
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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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@ -2,6 +2,7 @@
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id: 5e46f7f8ac417301a38fb92a
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title: Medical Data Visualizer
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challengeType: 10
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forumTopicId: 462368
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dashedName: medical-data-visualizer
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---
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@ -9,7 +10,7 @@ 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.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-medical-data-visualizer).
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You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-medical-data-visualizer).
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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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@ -2,6 +2,7 @@
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id: 5e46f802ac417301a38fb92b
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title: Page View Time Series Visualizer
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challengeType: 10
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forumTopicId: 462369
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dashedName: page-view-time-series-visualizer
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---
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@ -9,7 +10,7 @@ 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.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer).
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You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer).
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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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@ -2,6 +2,7 @@
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id: 5e4f5c4b570f7e3a4949899f
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title: Sea Level Predictor
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challengeType: 10
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forumTopicId: 462370
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dashedName: sea-level-predictor
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---
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@ -9,7 +10,7 @@ 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.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-sea-level-predictor).
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You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-sea-level-predictor).
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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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