Visualizing the Investment Annual Summary data
Now that you have all of the data ready for the report you're creating, you can start making plots that will be included in the report to help your audience visualize the data when they're reading the report. You'll start by creating a line plot of the investment_annual_summary data.
Cet exercice fait partie du cours
Reporting with R Markdown
Instructions
- Load the
ggplot2package in the first code chunk, after thedplyrpackage on line10. - In the
investment-annual-summarycode chunk, create a line plot using theinvestment_annual_summarydata. - Plot the fiscal year (
fiscal_year) on the x-axis, and investment amounts (dollars_in_millions) on the y-axis. - Color the plot by
region, so that the plot in the final report displays each region as a different color in the line plot.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
{"investment_report.Rmd":"---\ntitle: \"Investment Report\"\ndate: \"`r format(Sys.time(), '%d %B %Y')`\"\noutput: html_document\n---\n\n```{r data, include = FALSE}\nlibrary(readr)\nlibrary(dplyr)\n# Load the ggplot2 package here\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\n\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(___, aes(___)) +\n ___ +\n labs(\n title = \"Investment Annual Summary\",\n x = \"Fiscal Year\",\n y = \"Dollars in Millions\"\n )\n```\n\n### Investment Projects in Brazil\n\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.\n```{r brazil-investment-projects}\nbrazil_investment_projects <- investment_services_projects %>%\n filter(country == \"Brazil\") \n```\n\n### Investment Projects in Brazil in 2018\n\n```{r brazil-investment-projects-2018}\nbrazil_investment_projects_2018 <- investment_services_projects %>%\n filter(country == \"Brazil\",\n date_disclosed >= \"2017-07-01\",\n date_disclosed <= \"2018-06-30\")\n```\n\n\n"}