I'm trying to figure out what each function does in order to use it. Some of the code seems to be written in Python 2 & 3 so trying to follow the workflow can be confusing. Can this code be documented and have comments added so the code can be readable? _

It could include:

• The raw table ID
• A URL leading to the Census Reporter page about the table
• A humanized version of the metadata found in the file name
• A URL leading to the raw data file

In order to manage content on Index.okfn.org we use several tools, including a config file and an admin dashboard.

To facilitate the management for new team members, we add a section 'admin tasks' to a readme file

A few users lately have reported issues saving to their root .Renviron file, for unclear reasons probably relating to R install location (not related to this package). Add a backup instruction for Mac users to manually open the file from the terminal and paste the key in that way.
Find out how to do that on PCs too.

The example for how to use this package is pretty dry right now. We would do well to give more engaging examples, and show how this package can be incorporated into the workflow of an interesting project. (Examples could even be adapted directly from our work on the Crain's article.)

For smaller values or with large margins of error, the numpy.random.normal in approximate_mean may return a negative number which won't make sense in context. We should probably just use max(0, simulated_value) instead.

For the upcoming federal version of NepalMap, we would like to present data on pneumococcal vaccination rates. These data are available in Table 10.3 on page 212 of the Nepal Demographic and Health Survey of 2016 (PDF here). Extract the data from Table 10.3 so that it is in a csv that conforms

Example:

I haven't really looked into the cause of this. The best way is to look at the HTML file that's been generated. In this case, the PNG is at
https://everysinglemonth.org/exports/png/16000US0629000_7a402b.png
So the corresponding HTML is at
`https://everysinglemonth.org/exports/html/16000US0629000_7a402b.html