Last updated: 2023-08-15

Checks: 2 0

Knit directory: Pandas-30-R/

This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

R Markdown file: up-to-date

Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Repository version: 09ca4a2

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 09ca4a2. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated: 


Ignored files:
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    dev/
    Ignored:    renv/

Unstaged changes:
    Modified:   renv.lock

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/about.Rmd) and HTML (docs/about.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 09ca4a2 Mena WANG 2023-08-15 more on dates
html a92b308 Mena WANG 2023-08-15 Build site.
Rmd a2efc64 Mena WANG 2023-08-15 update about
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Rmd c876a91 Mena WANG 2022-10-23 Start workflowr project.

Hi, I am Mena, a data scientist who loves to learn something new everyday. 🤩

I started learning Python after being an R user for more than 8 years. Now, I have loads of fun using Python in my day to day work. It is good to be fluent in both languages and can then choose whichever works better for each specific task.

It is an exciting time for data scientists coz data is everywhere. There are plenty of opportunities to leverage one’s data skills to help individuals and society in many big and small ways. If you are interested in data science as well, let’s learn and grow together.💪 You can find me on Twitter, LinkedIn, and GitHub.