Closed AcckiyGerman closed 6 years ago
@zelima have you reviewed this? Isn't this a duplicate of the work we already did in #60? /cc @Mikanebu
@rufuspollock there are only 5 in #60. We want 10 ready and 15 new here.
@AcckiyGerman please do not paste hack.md links in GitHub issues (I removed now)
@zelima got it. The title of issue is maybe misleading then because we already did the sorting (in theory). Maybe retitle to: identity next 10-15 datasets for automation.
FIXED I looked through all datasets listed in our 'core data analysis' doc. Output:
Output is in the same doc and the datahub analysis hackmd doc.
@AcckiyGerman please list those 10-15 datasets here before closing so we are all clear and do not have to open additional links (I would add here ones with "probably" and "source is broken"). In the following structure
@zelima updated the lists in the issue:
This is great! we can close this now as FIXED
Epic: https://github.com/datahq/pm/issues/78
As a code curator I want to know which core datasets could be automated, so I could automate them. As a datopian developer I want to know which of the possible new features are we going to implement next, so I'm doing the relevant work efforts.
Acceptance criteria:
list of 10 ready to automate datasets
There is no 10 of 'ready to automate' datasets
list of datasets, that probably could be automated
Datasets that need some features, that we don't have ATM, or datasets, that are broken, and needs to be fixed befor automation:
tasks
Core list to work with: https://docs.google.com/spreadsheets/d/14kJluhePaMOx6vYBic0poVjDYK3I8-v_xF3sv4Focac/edit#gid=405792816