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視覺化 Investment Annual Summary 資料

現在你已經準備好要放進報告裡的所有資料,可以開始建立將納入報告的圖表,幫助讀者在閱讀時更容易理解資料。先從為 investment_annual_summary 資料建立一個折線圖開始。

本練習屬於課程

使用 R Markdown 製作報告

檢視課程

練習說明

  • 在第一個程式碼區塊、dplyr 套件之後的第 10 行,載入 ggplot2 套件。
  • investment-annual-summary 程式碼區塊中,使用 investment_annual_summary 資料建立折線圖。
  • 將會計年度(fiscal_year)放在 x 軸,投資金額(dollars_in_millions)放在 y 軸。
  • region 來著色,讓最終報告中的折線圖以不同顏色顯示各個地區。

動手互動練習

試著完成這個範例程式碼,體驗一下這個練習。

{"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"}
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