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Updates in preperation for release and opening of repo visibility
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tbalbone31 committed Dec 2, 2024
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4 changes: 3 additions & 1 deletion .gitignore
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# Quarto
/.quarto/
_site/
_environment.local

# Mac users
.DS_STORE
.DS_STORE
/_*.local
1 change: 1 addition & 0 deletions CH1_getting_started.qmd
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> To switch between light and dark modes, use the toggle in the top left
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1 change: 1 addition & 0 deletions CH2_data_structures.qmd
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1 change: 1 addition & 0 deletions CH3_import_export.qmd
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1 change: 1 addition & 0 deletions CH4_tibbles_dplyr.qmd
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1 change: 1 addition & 0 deletions CH5_summary_agg.qmd
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1 change: 1 addition & 0 deletions CH6_case_study.qmd
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1 change: 1 addition & 0 deletions CH7_control_flow_loops_and_functions.qmd
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3 changes: 3 additions & 0 deletions _quarto.yml
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website:
title: "Introduction to R"
repo-url: https://github.com/datasciencecampus/af_introduction_to_r
repo-actions: [source, issue]
reader-mode: true
sidebar:
logo-href: /index.html
style: "docked"
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---
title: "Datasets"
author: "Government Analysis Function and ONS Data Science Campus"
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</br>

The datasets listed below are used throughout the course.

<p>Download the <a href="/data/bikes_data_set.csv" style="text-decoration:none"><span style="text-decoration:underline">bikes data</span> (CSV, 54 KB)</a></p>

<p>Download the <a href="/data/imdb_scores.csv" style="text-decoration:none"><span style="text-decoration:underline">imbd scores</span> (CSV, 204 KB)</a></p>

<p>Download the <a href="/data/netflix_data.csv" style="text-decoration:none"><span style="text-decoration:underline">netflix data</span> (CSV, 3.6 MB )</a></p>

<p>Download the <a href="/data/police_data.csv" style="text-decoration:none"><span style="text-decoration:underline">police data</span> (XLSX, 77 KB)</a></p>

<p>Download the <a href="/data/revenue_data_set.csv" style="text-decoration:none"><span style="text-decoration:underline">revenue data</span> (CSV, 1 KB)</a></p>

<p>Download the <a href="/data/titanic_clean.csv" style="text-decoration:none"><span style="text-decoration:underline">titanic cleaned data</span> (CSV, 84 KB)</a></p>

<p>Download the <a href="/data/titanic.csv" style="text-decoration:none"><span style="text-decoration:underline">titanic data</span> (CSV, 86 KB)</a></p>
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# Course Materials

A folder containing the dataset and teaching files for the course will be provided or can be downloaded from the Learning Hub, please download and unzip this to folder you are familiar with.
The course materials come in several formats:

The course materials are in several folders:
* HTML pages such as the one you are reading now

* Additional Content - Documents etc to support the course.
* Data [](datasets.qmd) we will use during the course. **It's highly recommended you create a project with a 'data' folder and download all the required datasets before starting the course**

* Data - contains the data we will use during the course.

* Course Content - Contains the learning Documents which are in html format.

* Pre Course Information - Contains documents with instructions on how prepare for the course.
You can also navigate to the course Github Repository and clone or fork the website structure for yourself. If you are new to programming and version control, we recommend you remain on the website to gain the best experience.


# Software Requirements
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