因此,我试图完成谷歌数据分析的案例研究,但是我的 R Markdown 脚本中的项目符号点不会呈现。我尝试在每个项目符号之前和之后添加新行,但没有帮助。
这是我的脚本的片段
# Prepare
* Where is the data being stored?
+ The original data files are being stored in an AWS S3 Bucket at [this link](https://divvy-tripdata.s3.amazonaws.com/index.html). <br/> The downloaded datafiles are then uploaded to kaggle cloud storage.
* How is the data organized?
+ The provided data files are in the CSV file format and all 12 contain the same 13 column names.
* How was data integrity verified?
+ The document outling the case study provided a link to a secure AWS S3 Bucket.<br/> The link to AWS S3 is provided by google which by many is considered a credible source of data.
* Will this data help answer the business question being asked?
+ The data provided contains all the information needed to answer the business questions being asked
* Are there problems with the data?
+ There are a few problems:
- started_at and ended_at date columns have dates in different formats
- some of the latitude and longitude coordinates do not coincide with a start_station_name or an end_station_name
在 RStudio 中,R Markdown 脚本按照我的预期呈现,但在 kaggle 中我得到了这个
您可以在这里看到我的整个脚本:
https://gist.github.com/pmartinez8241/22179f4f2f67311110fc70d37f908067
我对 R 和 Kaggle 完全是菜鸟!
我已将设置配置为 R 脚本,但我想要一个 R 笔记本!我将编辑器类型设置为 R Notebook,现在一切都按预期工作。