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3 changes: 3 additions & 0 deletions _quarto.yml
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Expand Up @@ -54,8 +54,11 @@ website:
text: References and resources
- href: about.qmd
text: About the authors
- href: rss_conference.qmd
text: Join us at RSS Conference
- href: ts-and-cs.qmd
text: Terms and conditions


page-navigation: true

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Expand Up @@ -3,6 +3,9 @@ title: "The guide"
subtitle: Table of contents
toc: true
---
::: {.callout-warning appearance="simple"}
This guide is under development, and the authors welcome feedback and contributions. See the [README file in our GitHub repository](https://github.com/royal-statistical-society/datavisguide#readme) for information on how to contribute.
:::

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6 changes: 3 additions & 3 deletions index.qmd
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Expand Up @@ -3,8 +3,8 @@ title: Best Practices for Data Visualisation
subtitle: Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful
---

::: {.callout-warning appearance="simple"}
This site and its content are under development, and the authors welcome feedback and contributions. See the [README file in our GitHub repository](https://github.com/royal-statistical-society/datavisguide#readme) for information on how to contribute.
::: {.callout-tip appearance="simple"}
**Coming to the RSS Conference this September?** Find out more about [our conference session](rss_conference.qmd) and how to become a guide contributor!
:::

Statistics is "the science of collecting, analyzing, presenting, and interpreting data" [@statistics]. Presentation of data is a key means to support and guide interpretation and subsequent decision making. Techniques exist for effective display. This is what this guide is all about.
Expand All @@ -15,4 +15,4 @@ This guide covers both aspects of data visualisation: the art and the science. I

The overarching aim of this guide is to equip the reader with the fundamentals for creating data visualisations that are high quality, readable, effective at conveying information, accurate in display and interpretation, and fulfil their intended purpose. It begins with an overview of [why we visualise data](docs/why-visualise.qmd), and then discusses the [core principles and elements of data visualisations](docs/principles.qmd) -- including the structure of charts and tables, and how those structures can be refined to aid readability. Concrete advice, examples, and code are presented to help improve the [styling of charts](docs/styling.qmd), with a particular focus on accessibility. There's a dedicated section on [styling charts for RSS publications](docs/tools.qmd), and readers will also find links to resources for [choosing the right type of chart](docs/choosing.qmd) for the data at hand.

In constructing this guide, [the authors](about.qmd) draw on many exceptional textbooks, papers, and other material created by experts in the field. References can be found throughout (they are also collected on a [dedicated page](docs/references.qmd), and readers are encouraged to seek out the original sources to deepen their understanding of, and appreciation for, the art and science of data visualisation.
In constructing this guide, [the authors](about.qmd) draw on many exceptional textbooks, papers, and other material created by experts in the field. References can be found throughout (they are also collected on a [dedicated page](docs/references.qmd), and readers are encouraged to seek out the original sources to deepen their understanding of, and appreciation for, the art and science of data visualisation.
30 changes: 30 additions & 0 deletions rss_conference.qmd
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---
title: Join us at RSS Conference
editor: source
---

The authors of “Best Practices for Data Visualisation” are [hosting a session](https://virtual.oxfordabstracts.com/#/event/4019/program?session=65937&s=0) at the [RSS International Conference](https://rss.org.uk/training-events/conference-2023/) in Harrogate this September. Take part in this session to learn more about the guide and help contribute to its ongoing development.

![](images/RSS-2023-Banner-for-website.jpg){fig-alt="Banner image for RSS International Conference 2023 in Harrogate, 4-7 September 2023" width="700px" fig-align="center"}

Our 80-minute session is divided into two halves:

In **part 1**, authors Andreas Krause, Nicola Rennie, and Brian Tarran will introduce the guide and its key recommendations, and there will be a short demo of how to use the new [{RSSthemes} R package](https://github.com/nrennie/RSSthemes).

In **part 2**, attendees will be invited to share feedback with the authors, propose ideas, and start developing new and expanded sections of the guide. Attendees will be shown how to work with the guide’s source files and collaborate via GitHub. But to get the most out of the session, we recommend you work through these steps ahead of time:

1. This guide was created using [Quarto](https://quarto.org/), an open-source publishing system from Posit, the makers of RStudio. [Follow the instructions](https://quarto.org/docs/get-started/) to download and setup Quarto on your machine.

2. Try out the [Quarto demo](https://quarto.org/docs/get-started/hello/vscode.html) using your coding or editing tool of choice.

3. If you don’t have one already, head over to [GitHub.com](https://github.com/) and create a free GitHub account. Try out the GitHub demo for a basic introduction to creating repositories, forking repositories, pushing and pulling commits, and merging pull requests. The Turing Way also has a nice [GitHub Intro for Beginners](https://docs.google.com/presentation/d/e/2PACX-1vR-Qu4kYulSMGnnAHH9-OonNiLkaJrsolEecEkt0VD5_3PmKWePmiSQwxK3QHoq5gNsL-MJKowmgsAx/pub?start=false&loop=false&delayms=3000&slide=id.g526267be46_0_606).

4. Once you’re feeling comfortable with GitHub, head on over to our [GitHub repository]( https://github.com/royal-statistical-society/datavisguide). Click the “Fork” button to add a copy of the repository to your own GitHub account.

5. Next, you’ll want to “clone” the repository to your local machine. The easiest way to do this is using [GitHub Desktop](https://desktop.github.com/).

6. Once the forked repository is on your local machine, you can start exploring the guide’s source code and files!

Ready to make a contribution? Come along to our [RSS Conference session](https://virtual.oxfordabstracts.com/#/event/4019/program?session=65937&s=0) at 11:40 am on Tuesday, 5 September 2023 and share your ideas with other delegates.

Can’t wait to get started? Check out our [README](https://github.com/royal-statistical-society/datavisguide#readme) file for further instructions.

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