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Writing and Visualising separation
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cjrace authored Oct 6, 2023
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2 changes: 1 addition & 1 deletion README.md
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[![Publish to pages](https://github.com/dfe-analytical-services/analysts-guide/actions/workflows/publish.yml/badge.svg?branch=main)](https://github.com/dfe-analytical-services/analysts-guide/actions/workflows/publish.yml)

# Analysts's Guide
# Analysts' Guide

## Introduction

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9 changes: 6 additions & 3 deletions _quarto.yml
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website:
page-navigation: true
back-to-top-navigation: true
title: "Analyst's Guide"
title: "Analysts' Guide"
site-url: "https://dfe-analytical-services.github.io/analysts-guide"
repo-url: https://github.com/dfe-analytical-services/analysts-guide
repo-actions: [edit, issue]
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- section: "Statistics production"
contents:
- statistics-production/pub.qmd
- RAP/rap-statistics.qmd
- statistics-production/ud.qmd
- statistics-production/ees.qmd
- statistics-production/embedded-charts.qmd
- statistics-production/examples.qmd
- statistics-production/embedded-charts.qmd
- statistics-production/scrums.qmd
- statistics-production/user-eng.qmd
- statistics-production/user-analytics.qmd
- section: "Writing and visualising"
contents:
- writing-visualising/cd.qmd
- writing-visualising/dashboards.qmd
- writing-visualising/visualising.qmd
- writing-visualising/writing.qmd
- section: "Reproducible Analytical Pipelines (RAP)"
contents:
- RAP/rap-expectations.qmd
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35 changes: 19 additions & 16 deletions index.qmd
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---
title: "Analysts's Guide"
title: "Analysts' Guide"
date: "Last updated: `r Sys.Date()`"
author: "[email protected]"
site: "_site.yml"
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## Learning and development

[General resources](learning-development/learning-support.html)
[Learning support](learning-development/learning-support.html)
- Useful learning resources, and support to get you started

[SQL](learning-development/sql.html)
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- Guidance and tips for version control with Git

[Python](learning-development/python.html)
- Guidance and tips for using Python [NEW PAGE]
- Guidance and tips for using Python


## Statistics production

[How to publish](statistics-production/pub.html)
[Routes for publishing](statistics-production/pub.html)
- Guidance for how to publish different types of statistics

[RAP in statistics](RAP/rap-statistics.html)
- Detailed RAP guidance for statistics publications

[Open data standards](statistics-production/ud.html)
- Guidance on how to structure data files

[Publication pipelines](statistics-production/stats_rap_redirect.html)
- Link to the RAP for stats? [NEW PAGE / REDIRECT]

[Using EES](statistics-production/ees.html)
[Explore Education Statistics (EES)](statistics-production/ees.html)
- How to use the features in Explore Education Statistics

[Good examples in EES](statistics-production/examples.html)
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[Embedded visualisations in EES](statistics-production/embedded-charts.html)
- How to embed R-Shiny charts in EES publications

[Publication scrums](statistics-production/scrums.html)
- Information on the scrums we run and tips for writing statistical commentary

[User engagement](statistics-production/user-eng.html)
- Guidance on understanding and engaging with the users of published statistics

[EES analytics](statistics-production/user_analytics.html)
- Understanding how users are interacting with your publications

## Writing and visualising data
## Writing and visualising

[Public dashboards](writing-visualising/dashboards.html)
- Guidance for publishing public facing statistics dashboards

[Writing about statistics](writing-visualising/cd.html)
- Things to consider when writing about statistics and data

[Visualising data](writing-visualising/visualising.html)
- Resources and best practice to guide you when visualising data [NEW PAGE]
- Resources and best practice to guide you when visualising data

[Writing about data](writing-visualising/writing.html)
- Resources and best practice for writing about data

## Reproducible Analytical Pipelines (RAP)

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[RAP FAQs](RAP/rap-faq.html)
- Frequently asked questions about RAP

[RAP in statistics](RAP/rap-statistics.html)
[RAP for Statistics](RAP/rap-statistics.html)
- Detailed RAP guidance for statistics publications

## Analytical Data Access (ADA) and Databricks

[ADA and Databricks](ADA/ada.html)
[Analytical Data Access (ADA) and Databricks](ADA/ada.html)
- Guidance for analysts on how to interact with and use data stored in ADA using Databricks

[Using RStudio with Databricks](ADA/databricks_rstudio.html)
[Setup Databricks with RStudio](ADA/databricks_rstudio.html)
- Guidance for analysts on how to connect to Databricks from RStudio.

## Contact us
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