Verwijzen naar het CSS-bestand
In plaats van stijlen in elk afzonderlijk Markdown-bestand op te nemen, kun je een Cascading Style Sheet (CSS)-bestand maken en daarnaar verwijzen telkens wanneer je een nieuw bestand maakt met bepaalde stijlen en lettertypen.
In deze oefening zijn de stijlen die je hebt opgegeven toegevoegd aan een CSS-bestand met de naam styles.css. Je verwijst naar dit bestand in de YAML-header in plaats van de stijlen in het Markdown-bestand zelf te specificeren.
Deze oefening maakt deel uit van de cursus
Rapporteren met R Markdown
Oefeninstructies
- Voeg een
css-veld toe aan de YAML-header na het veldhtml_documenten vóór het veldtoc. - Noem de bestandsnaam van het CSS-bestand,
styles.css, dat de stijlen bevat die je voor het Markdown-bestand hebt opgegeven.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
{"investment_report.Rmd":"---\ntitle: \"Investment Report for Projects in `r params$country`\"\noutput: \n html_document:\n toc: true\n toc_float: true\ndate: \"`r format(Sys.time(), '%d %B %Y')`\"\nparams:\n country: Brazil\n year_start: 2017-07-01\n year_end: 2018-06-30\n fy: 2018\n---\n\n```{r setup, include = FALSE}\nknitr::opts_chunk$set(fig.align = 'center', echo = TRUE)\n```\n\n```{r data, include = FALSE}\nlibrary(readr)\nlibrary(dplyr)\nlibrary(ggplot2)\n\ninvestment_annual_summary <- read_csv(\"https://assets.datacamp.com/production/repositories/5756/datasets/d0251f26117bbcf0ea96ac276555b9003f4f7372/investment_annual_summary.csv\")\ninvestment_services_projects <- read_csv(\"https://assets.datacamp.com/production/repositories/5756/datasets/bcb2e39ecbe521f4b414a21e35f7b8b5c50aec64/investment_services_projects.csv\")\n```\n\n\n## Datasets \n\n### Investment Annual Summary\nThe `investment_annual_summary` dataset provides a summary of the dollars in millions provided to each region for each fiscal year, from 2012 to 2018.\n```{r investment-annual-summary}\nggplot(investment_annual_summary, aes(x = fiscal_year, y = dollars_in_millions, color = region)) +\n geom_line() +\n labs(\n title = \"Investment Annual Summary\",\n x = \"Fiscal Year\",\n y = \"Dollars in Millions\"\n )\n```\n\n### Investment Projects in `r params$country`\nThe `investment_services_projects` dataset provides information about each investment project from 2012 to 2018. Information listed includes the project name, company name, sector, project status, and investment amounts. Projects that do not have an associated investment amount are excluded from the plot.\n\n```{r country-investment-projects}\ncountry_investment_projects <- investment_services_projects %>%\n filter(country == params$country) \n\nggplot(country_investment_projects, aes(x = date_disclosed, y = total_investment, color = status)) +\n geom_point() +\n labs(\n title = \"Investment Services Projects\",\n x = \"Date Disclosed\",\n y = \"Total IFC Investment in Dollars in Millions\"\n )\n```\n\n### Investment Projects in `r params$country` in `r params$fy`\nThe `investment_services_projects` dataset was filtered below to focus on information about each investment project from the `r params$fy` fiscal year, and is referred to as `country_annual_investment_projects`. Projects that do not have an associated investment amount are excluded from the plot.\n```{r country-annual-investment-projects}\ncountry_annual_investment_projects <- investment_services_projects %>%\n filter(country == params$country,\n date_disclosed >= params$year_start,\n date_disclosed <= params$year_end) \n\nggplot(country_annual_investment_projects, aes(x = date_disclosed, y = total_investment, color = status)) +\n geom_point() +\n labs(\n title = \"Investment Services Projects\",\n x = \"Date Disclosed\",\n y = \"Total IFC Investment in Dollars in Millions\"\n ) \n```\n\n\n","styles.css":"#TOC {\n color: #708090;\n font-family: Calibri;\n font-size: 16px; \n border-color: #708090;\n}\nh1.title {\n color: #F08080;\n background-color: #F5F5F5;\n opacity: 0.6;\n font-family: Calibri;\n font-size: 20px;\n}\nh4.author {\n color: #708090;\n font-family: Calibri;\n background-color: #F5F5F5;\n}\nh4.date {\n color: #708090; \n font-family: Calibri;\n background-color: #F5F5F5;\n}\nbody {\n color: #708090;\n font-family: Calibri;\n background-color: #F5F5F5;\n}\npre {\n color: #708090;\n background-color: #F8F8FF;\n}\n\n\n"}