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chore(i18n,learn): processed translations (#53415)
Co-authored-by: Naomi Carrigan <nhcarrigan@gmail.com> Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
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@@ -10,9 +10,9 @@ dashedName: demographic-data-analyzer
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-demographic-data-analyzer" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
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@@ -8,11 +8,11 @@ dashedName: mean-variance-standard-deviation-calculator
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# --description--
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
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@@ -10,9 +10,9 @@ dashedName: medical-data-visualizer
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-medical-data-visualizer" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
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@@ -31,20 +31,20 @@ The rows in the dataset represent patients and the columns represent information
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File name: medical_examination.csv
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| Feature | Variable Type | Variable | Value Type |
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|:-------:|:------------:|:-------------:|:----------:|
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| Age | Objective Feature | `age` | int (days) |
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| Height | Objective Feature | `height` | int (cm) |
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| Weight | Objective Feature | `weight` | float (kg) |
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| Gender | Objective Feature | `gender` | categorical code |
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| Systolic blood pressure | Examination Feature | `ap_hi` | int |
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| Diastolic blood pressure | Examination Feature | `ap_lo` | int |
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| Cholesterol | Examination Feature | `cholesterol` | 1: normal, 2: above normal, 3: well above normal |
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| Glucose | Examination Feature | `gluc` | 1: normal, 2: above normal, 3: well above normal |
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| Smoking | Subjective Feature | `smoke` | binary |
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| Alcohol intake | Subjective Feature | `alco` | binary |
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| Physical activity | Subjective Feature | `active` | binary |
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| Presence or absence of cardiovascular disease | Target Variable | `cardio` | binary |
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| Feature | Variable Type | Variable | Value Type |
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|:---------------------------------------------:|:-------------------:|:-------------:|:------------------------------------------------:|
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| Age | Objective Feature | `age` | int (days) |
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| Height | Objective Feature | `height` | int (cm) |
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| Weight | Objective Feature | `weight` | float (kg) |
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| Gender | Objective Feature | `gender` | categorical code |
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| Systolic blood pressure | Examination Feature | `ap_hi` | int |
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| Diastolic blood pressure | Examination Feature | `ap_lo` | int |
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| Cholesterol | Examination Feature | `cholesterol` | 1: normal, 2: above normal, 3: well above normal |
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| Glucose | Examination Feature | `gluc` | 1: normal, 2: above normal, 3: well above normal |
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| Smoking | Subjective Feature | `smoke` | binary |
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| Alcohol intake | Subjective Feature | `alco` | binary |
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| Physical activity | Subjective Feature | `active` | binary |
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| Presence or absence of cardiovascular disease | Target Variable | `cardio` | binary |
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## Tasks
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@@ -10,9 +10,9 @@ dashedName: page-view-time-series-visualizer
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
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@@ -10,9 +10,9 @@ dashedName: sea-level-predictor
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You will be <a href="https://replit.com/github/freeCodeCamp/boilerplate-sea-level-predictor" target="_blank" rel="noopener noreferrer nofollow">working on this project with our Replit starter code</a>.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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- Start by importing the project on Replit.
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- Next, you will see a `.replit` window.
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- Select `Use run command` and click the `Done` button.
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We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
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@@ -50,6 +50,7 @@ We imported the tests from `test_module.py` to `main.py` for your convenience. T
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Copy your project's URL and submit it to freeCodeCamp.
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## Data Source
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<a href="https://datahub.io/core/sea-level-rise" target="_blank" rel="noopener noreferrer nofollow">Global Average Absolute Sea Level Change</a>, 1880-2014 from the US Environmental Protection Agency using data from CSIRO, 2015; NOAA, 2015.
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