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We want to make navigation between multiple, tightly related dimensions1 of a dataset easier, in an explorer-like - but reimagined - UI.
We want to also try to enable multi-selection of different dimensions for the first time.
Tasks
Must do
Come up with a data format that is suitable for this goal
Decide design: Either dropdown-like or slideover-like (or: prototype both)
Implement this design
Plan a call with D&R team and get their thoughts on the prototype
Scope out the plan for the next cycle
Should do
Explore multi-selection
Interconnecting several multiDs (for example, if they share the same dimensions)
Keep thumbnail generation in mind
Could do
Figure out metadata-per-view situation (jumpiness, overrides etc.)
Won't do
Baking - baking is not a primary concern for this cycle
Authoring - editing a config in the the admin can be pretty bare-bones for this cycle
Open questions
How should a multiD behave when embedded?
One option: Like explorers - controls can be shown or hidden
Rough design
Risks
Multi-selection is a difficult beast to tame, for several reasons:
Multi-selection is probably only possible within one dimensions; needs good UI/UX when the user tries to do something else
Possibly, multi-selection doesn't always make sense for every dimension
The technicalities of how grapher would load these are a bit unclear, still
Line charts are relatively straightforward, but other chart types (map, stacked charts, etc.)
Possible solution: Only enable for line charts for now
(Joe edit) Multiselect may involve the selection of data with different metadata (source, title, "What you should know" etc.), and we don't have a good idea for how we will show that on datapages yet.
Footnotes
For example: All deaths / death rate; All ages / Under 5 years. ↩
The text was updated successfully, but these errors were encountered:
Figma
Goal
We want to make navigation between multiple, tightly related dimensions1 of a dataset easier, in an explorer-like - but reimagined - UI.
We want to also try to enable multi-selection of different dimensions for the first time.
Tasks
Must do
Should do
Could do
Won't do
Open questions
Rough design
Risks
Multi-selection is a difficult beast to tame, for several reasons:
Footnotes
For example: All deaths / death rate; All ages / Under 5 years. ↩
The text was updated successfully, but these errors were encountered: