在报告中引用代码结果
在本练习中，您将使用 summarize() 和 brazil_investment_projects_2018 来计算 2018 财年巴西所有项目的总投资额。接着，您会在报告中添加文字，并在文本中引用代码结果，这样当您 knit 文件时，计算得到的金额会直接打印在报告文本中。
本练习是课程的一部分
使用 R Markdown 生成报告
练习说明
- 在
brazil-investment-projects-2018代码区块中，对已过滤为 2018 财年巴西项目的数据进行汇总，创建brazil_investment_projects_2018_total，生成新列sum_total_investment，其中包含每个项目total_investment金额的总和。 - 在第
47行的句子中加入Brazil和2018，以描述所计算的信息。 - 在第
47行的句子中引用brazil_investment_projects_2018_total，这样 2018 财年巴西所有项目的总投资额就会包含在 knit 报告中。
交互式实操练习
通过完成这段示例代码来试试这个练习。
{"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### 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\nbrazil_investment_projects_2018\n\nbrazil_investment_projects_2018_total <- brazil_investment_projects_2018 %>%\n ___(sum_total_investment = ___(___, na.rm = ___)) \n```\n\nThe total investment amount for all projects in ___ in the ___ fiscal year was ___ million dollars.\n\n\n"}