Time binning - how to change the Tick labels?

[#1]

Among other Graphing Improvements - New in JMP 16 , the new Time Bin (&Wrap) option is extremely useful:
Continuous values are binned and represented as ordinal values. [edited]

The only issue:
The axis and grid look a bit chaotic:

I'd prefer a more structured view like this one  - with long divider and lower frame:

but the settings for Tick labels and grids:

... are  missing in the GUI for Axis with Time Bin settings:

Why?

[#2]

Have you made sure your columns are nominal/ordinal (I think tick labels are for categorical variables)?

https://www.jmp.com/support/help/en/18.0/index.shtml#page/jmp/customize-axes-and-axis-labels-in-grap...

[#3]

You are right, besides being quite "ordinal", the values stay "continuous" - displayed on a continuous time scale.

I would say: tick labels are for continuous variables as well:

... but quite unfortunately, the cool tick label settings to adjust the graph are missing.

So, the only way it to manually change the modeling type to ordinal/nominal of the created transform column.

But then:
- I lose the Label row nesting functionality

- months with missing data will just be removed from the plot ( at least till🙏 Column Property: Inclusive Values  is available ...) (*)

At the moment, I think the only way is:

generate Year and month manually as ordinal values and then nest them on the x axis. [with issue (*)]

right?

[#4]

It seems like that is the only option you currently have (I haven''t tried if you could force those by scripting).

[#5]

For some seconds I thought that going via Time Bin could fix the issue with the too dynamic adjustment of the tick spacing in Graph builder: Heatmap - option: fixed Tick spacing (aggregation area) .
But clear: if it's just a transform column - and there is still the continuous axis scale, which is affected by the rescale bug.

[#6]

An Issue (1): 
The below code generates a graph like this:

Unfortunately the

Date Increment(., "Week", 0) = 01Jan0000;

ruins the scale on the x axis.

Open( "$SAMPLE_DATA/Aircraft Incidents.jmp" );

:Event Date[1] = .;

Graph Builder(
	Transform Column(
		"Week[Event Date]",
		Format( "Format Pattern", "<MM></><DD></><YYYY>", 15 ),
		Formula( Date Increment( :Event Date, "Week", 0 ) )
	),
	Variables( X( :"Week[Event Date]"n ) ),
	Elements( Bar( X, Legend( 4 ) ) )
);

... so, one has to fix the formula manually via 

If(is missing(:Event Date), ., Date Increment( :Event Date, "Week", 0 ))

[#7]

If the user wants to bin by week - to get Plots for Year & week, there is another issue (#2):

by default, JMP creates the binned date with the format DD / MM / YYYY.

So, instead of week, still dates (with day and month) is used up as axis labels.

So, how to tell JMP that the week should be used.
Plan A: 
- adjust the Format of the current axis - to use Week instead of day and month. and indeed, it works - but the user has to do the job for every single plot he wants to adjust.

Better:
The user can directy change the Format of the column (see code below) - then the week also gets into the axis labels:

even cooler: If the user enables nesting on the axis, JMP automatically shows the week AND the year - nested.

but wait - label nesting seems to have an issue with ISO Dates , Argh !!!

Why does the center plot show 2022 instead of 2023?!??!

Converting Week and Week2 to Format "Best" shows: both columns have the same entries. So, it's not an issue of the column, right?

New Table( "test",
	Add Rows( 2 ),
	Compress File When Saved( 1 ),
	New Column( "date",
		Format( "d/m/y", 10 ),
		Set Values( [3768422400, 3797366400] )
	),
New Column( "Week[date]",
	Format( "Format Pattern", "<yyyy> cw<ww>", 15 ),
	Formula( Date Increment( :date, "Week", 0 ) )
),
New Column( "Week[date]_2",
	Format( "Format Pattern", "<DD>.<MM>.<YYYY>", 15 ),
	Formula( Date Increment( :date, "Week", 0 ) )
)
);

Graph Builder(
	Variables( X( :date ), X( :"Week[date]"n ),X( :"Week[date]_2"n ) ),
	Elements( Position( 1, 1 ), Points( X ) ),
	Elements( Position( 2, 1 ), Points( X ) ),
	Elements( Position( 3, 1 ), Points( X ) ),
	SendToReport(
		Dispatch( {}, "date", ScaleBox, {Label Row Nesting( 2 )} ),
		Dispatch( {}, "Week[date]", ScaleBox, {Label Row Nesting( 2 )} ),
		Dispatch( {}, "Week[date]_2", ScaleBox, {Label Row Nesting( 2 )} )
	)
);