[FEATURE] Create a blog post to explain how to read an IPUMS extract using the IPUMS.jl package.

[00krishna]

Issue Description

This task involves writing a blog post that explains how to read an IPUMS extract into Julia. The post assumes that the user has already downloaded the extract--whether through the download API of IPUMS.jl or through a download from the website. The user then extracts that data to a directory, then reads the DDI file using the read_ddi function. The post should explain how the user can look at a summary of the metadata using the appropriate IPUMS.jl function. Next, the post explains how to use the load_extract function to load the IPUMs data into a Julia DataFrame. Once the data is in a DataFrame, the post should show some simple manipulations of the DataFrame, such as the describe function which will show some metadata--such as the mean, minimum, maximum--for each column in the DataFrame.

Difficulty: Beginner

Time: 6 - 8 hours

Requirements

• Explain how to download the extract -- but just refer to previous blog post.
• Demonstrate how to use the read_ddi function to load the DDI file.
• Show how to get a summary of the extract level and variable level metadata using the function in IPUMS.jl
• Show how to load the DAT file using the load_extract function.
• Once the data is loaded, show how to see the metadata for the DataFrame and them columns of the DataFrame.
• Show how to create a simple plot of a variable from the dataset using the Makie.jl package.
• Open and submit a PR for the post.

Expected Outcomes

The expected outcome is a markdown blog post with the appropriate code and explanation, as per the list above.

Additional Notes

Additional information and code examples are available in the docstrings/documentation for the IPUMS.jl package. That is the best source for the Julia code.

Other Resources

Julia Slack:

• documentation channel - you should post here first
• helpdesk channel - this would be to get more attention to your issue but maybe not as precise as you need.
• health-and-medicine channel - this is where most of JuliaHealth is located these days.

Julia Discourse - I would advise posting here if you have an issue that you feel is long or requires a lot of time to explain as you might lose it within Julia Slack. Consider cross-posting your forum post to the Julia Slack in helpdesk and/or documentation.

[TheCedarPrince]

So this one is a bit curious as I could see this being split into a documentation PR but also a blog post. Actually, after some thought, I would be fine with some duplication between this being a documentation PR but then duplicated somewhat within #29 . I think it is great to have these common use cases within the documentation itself. So, I think this issue should be split into a docs issue as well.

[TheCedarPrince]

Also, could you find an example of what should be the expected outcome for this particular issue? I definitely want this to be scoped out precisely -- the dataframes scoping is great already. Also, are you opposed to using Makie instead of Plots for this blog?