[Bill Finzer]

Hi Kit,

Thanks for the feedback, especially the suggestions, which are both excellent. I confess that in our discussions about functionality, I can’t recall our ever having considered “replacement per device.”

We did realize that the current interface for creating the contents of mixers is limited. I was able to create a deck of cards rather quickly by asking ChatGPT to generate the comma separated list: 1C,2C,3C,4C,5C,6C,7C,8C,9C,10C,JC,QC,KC,1D,2D,3D,4D,5D,6D,7D,8D,9D,10D,JD,QD,KD,1H,2H,3H,4H,5H,6H,7H,8H,9H,10H,JH,QH,KH,1S,2S,3S,4S,5S,6S,7S,8S,9S,10S,JS,QS,KS. And I was gratified to find it works!

We’ll certainly consider adding the functionality you describe in the future if we get some funding for it!

Bill

[Bill Finzer]

Hi Tim,

I just tried

date-prev(date)

In a new attribute in Dan’s example and it worked for me with no errors and gave the same results.

Bill

[Bill Finzer]

Hello Michalis,

This is a shortcoming, indeed. I have a Smart Keyboard with a trackpad for my iPad and I can see the values by hovering over the box plot using the trackpad. I also have a newer Apple Pencil and when I bring the tip near the box plot, I, once again, can see the values. But, I know this is not helpful without these accessories.

Sorry,

Bill

[Bill Finzer]

Hello Claude,

I wonder if you have taken a look at the Plugin Tutorial near the bottom of the page at codap.xyz? If you have been through that tutorial and still have questions, perhaps you could point to (or attach) the code you are working on with notes on where, specifically it’s failing?

Bill

[Bill Finzer]

Hi Travis,

Yes, I’m afraid you’ll have to take those extra steps, at least for now. We’re working on version 2 of the sampler, and in the current release we’re stuck halfway to the goal.

Bill

[Bill Finzer]

Hi Taryn,

The airport locations come in when you open the NOAA Weather plugin. You have probably closed that, but the weather station data has remained.

You can delete the weather station day by clicking on the Tables icon which will bring up a list of datasets that are in your document. One of them should be weather stations. Next to it is a trash can icon. Click on that and confirm that you want to delete that dataset. The points should disappear from the map, but, if they don’t, try closing the map and making a new one.

Hope that helps,

Bill

[Bill Finzer]

Taryn,

We fixed the problem! All is well again. Share away.

Bill

[Bill Finzer]

Hello Taryn,

Thanks so much for sharing this! I just verified that I get the same error and I’ve alerted our developer team. Hopefully the fix will be simple.

Bill

[Bill Finzer]

Hello,

True enough, CODAP doesn’t allow you to change the color that fills a box plot. That’s not planned for the next version either. Do you have a need for this feature other than cosmetic?

Bill

[Bill Finzer]

Hi Jacob,

Yes, that works because by saying prev(Latitude, Latitude) you’re saying, if there’s no previous value of Latitude, use the current value. And the current value minus the current value is zero.

Nice job figuring this out!

Bill

[Bill Finzer]

I’m probably providing too much help in the enclosed screenshot of the Transformer. But hopefully it gets you over the hump.

Attachments:

1. 

   Screenshot-2025-01-22-at-10.24.55 AM.png
   

[Bill Finzer]

Hello Michael,

I’m not familiar with the workbook to which you refer. Can you provide a link?

Thanks,

Bill

[Bill Finzer]

Hi Timothy,

No, you can’t add two (or more) quantitative variables (attributes) to an axis to create parallel dot plots. Sorry.

As you probably have already discovered, if your two (or more) distributions belong to a single attribute and can be distinguished by a categorical attribute, then it’s easy to get the desired parallel dot plots. I’ve enclosed a screenshot of this.

Bill

Attachments:

1. 

   Screenshot-2024-12-10-at-5.09.00 PM.png
   

[Bill Finzer]

Hi Stephanie,

It sounds possible but tricky. How would you match up the sites? Perhaps you could make a shared view of the CODAP document so others could take a look?

Bill

[Bill Finzer]

Hello Michael,Thanks for sending the file.

The problem is with the hash mark (#) in the first row. CODAP interprets that as an indicator that there is metadata in that row and does not include it in the dataset proper. By changing the hash mark to a column name, like N the file imports as one would expect. To illustrate what I mean by metadata, here are the first 14 lines of the exported data from the Mammals sample document in which you can see the hash marks and metadata for each attribute.

# attribute — name: Mammal, description: The species of the mammal, editable: true

# attribute — name: Order, description: The order of the mammal, editable: true

# attribute — name: LifeSpan, type: numeric, unit: years, editable: true

# attribute — name: Height, description: The average height of the mammal., unit: meters, editable: true

# attribute — name: Mass, description: The mass of the mammal, type: numeric, unit: kg, editable: true

# attribute — name: Sleep, description: The number of hours the animal sleeps in a 24 hour period, type: numeric, unit: hours, editable: true

# attribute — name: Speed, description: The average speed of the mammal., unit: km/h, editable: true

# attribute — name: Habitat, editable: true

# attribute — name: Diet, editable: true

Mammal,Order,LifeSpan,Height,Mass,Sleep,Speed,Habitat,Diet

African Elephant,Proboscidae,70,4,6400,3,40,land,plants

Asian Elephant,Proboscidae,70,3,5000,4,40,land,plants

Big Brown Bat,Chiroptera,19,0.1,0.02,20,40,land,meat

Thanks for reaching out with this question!

Bill

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