篩選特定年份
你已經把資料篩到特定國家的專案了，現在可以進一步篩選出 2018 會計年度發生的所有專案。請記得，會計年度從前一年的 7 月 1 日開始，到目標年的 6 月 30 日結束。
本練習屬於課程
使用 R Markdown 製作報告
練習說明
- 在第四個程式碼區塊中，透過篩選
investment_services_projects中屬於巴西、且date_disclosed落在 2018 會計年度（自 2017 年 7 月 1 日起至 2018 年 6 月 30 日止）的專案，建立brazil_investment_projects_2018。 - 將該程式碼區塊標記為
brazil-investment-projects-2018。 - 在第
33行加入使用三個井字的標題，將此段落標示為Investment Projects in Brazil in 2018。
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\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}\ninvestment_annual_summary\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\n\n```{r}\nbrazil_investment_projects_2018 <- investment_services_projects %>%\n filter(country == \"Brazil\",\n ___ >= ___,\n ___ <= ___) \n\nbrazil_investment_projects_2018\n```\n\n\n"}