Closed tanmaysharma19 closed 3 years ago
What I like:
Limitations (what I like less):
Geography
variable). If we want to build in dimensions as disaggregations/filters this might be a bit limiting. Of course, we could bin some categories if we wanted.pctbachdeg18_24
). This will make it hard to reshape the data since we cannot cross those columns while reshaping. We can probably only analyse the data marginally, rather than drill down by multiple variables.Potential uses / personas:
See auto-generated data profile report.
NYC agency performance indicators from the FY20 Mayor's Management Report:
What I like:
Limitations (what I like less):
Potential uses / personas:
What I like:
Limitations (what I like less):
Potential uses / personas:
Related ideas:
What I like:
Limitations
Personas/usage
What I like:
Limitations
Personas/usage
Desiderata: • Micro-data (each row represents one unit, without aggregation) • 5+ categorical dimensions for filtering/disaggregating • 5+ numeric measures • Geographic variables (ideally hierarchical, e.g. municipality -> province -> country). • time-series data • little to no missing data • no need for weighting
Closing this issue out. The team decided to go with the obesity data during a team meeting.
Discussing ideas for finalizing the dataset for the dashboard.