I am wondering if there is a conventional name for groups that lie on the same z-coordinate. Eg, such groups on the same x-coord are called "columns", and such groups on the same y-coord are called "rows". Is there such a conventional name for groups that lie on the same z-coord? Thanks! [ :
do you mean "layer"?
It is also used in photoshop
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I have the output of SAP that looks like the following:
The ObjectName is a field that represents the level that the line is attributed too. The order in this case is important as all those level 5 items belong to level 4 which belong to level 3 etc. I know the manual solution is easy but what I really need to do is link the items together in a tree structure. Ideally a code that the first instance of level 0 = 1 the second is 2 etc. level 1 becomes 1.1, 1.2, 1.3, etc. Level 3 1.1.1, 1.1.2, 1.1.3. etc.
This also needs to be repeatable in either DAX or VBA as I would like to build a report with the data regularly, I am a little stumped with the logic behind it.
I am mainly trying to drive some logic to define the relationships in the data lines. The issue is that each line contains level data but the only link between child and parent is the location in the spreadsheet, children are under the parents. In a tree structure as the spreadsheet is about 100k lines long, this becomes a laborious task to do manually.
Any directions to look into would be great.
You would need to have two columns - one that would act as a key and another that would point to the parent key. Then you can use DAX functions for handling parent-child hierarchies (PATH, PATHITEM, etc.).
Look here for here for an example: https://www.daxpatterns.com/parent-child-hierarchies/
So I have a dataset which has one description column (an IT trouble ticket description) and one target column (grouping of the ticket e.g. ticket belongs to Group 0 or Group 1 - the group type e.g. access issues is not provided).
The thing is: I have 45 different target variables - targets are Group 0, Group 1,...... Group 45. There is a pretty long tail with some of these group having less than 0.1% of the total tickets. Now instead of just directly clubbing them together to form a single group, I wanted to see if there was any way to club these smaller groups with other groups which are 'similar' to them based on the IT trouble ticket description. For example, if a larger group has tickets describing access issues and a smaller group has tickets pertaining to login issues (depending on the text description), I would prefer to club these two groups together.
I thought of creating a separate Word2Vec or Glove embedding for each Group but then am unable to figure out how to find similarities between these vectors. Further, creating 45 different Word2Vec embeddings is pretty computationally painful. So I am a little stuck on this. Any ideas on how to approach this? Any help would be great
Thanks !
I want to to find out if the level of education has an effect on the answer to the question: "Do you think the climate is changing?"
My level of education variable has 3 levels and there are 5 different possible answers to the question (probably changing, definitely changing etc.).
I am not sure which statistical method is appropriate here
This could depend on how you record your "climate change opinion" variable. If you keep it as an ordinal categorical variable, you could use ordinal logistic regression.
You could keep the variables both as categorical and conduct a Chi-Square Test of Homogeneity.
A path for more specific interpretations would be to assign a numerical value to this variable; such as definitely not changing = 1, maybe changing = 3, definitely changing = 5.
Your null hypothesis could be: "The mean climate change opinion is the same for each education level"
Alt: "At least one education level has a different mean climate change opinion."
You can perform an F-test of our 3 education groups to reveal if there is evidence of at least one group being significantly different from the others. From there you can use the Tukey HSD method to make comparisons between each education level group. This is like performing a t-test between each group.
What is the proper way to control Z-depth in Corona SDK?
It doesn't seem like sprites inherenty have any Z information being stored.
They have actually...
All sprites belong to a group (even if it is the default group).
The z order is the group index (ie: first sprite in the group get rendered first, and so on).
You cannot change that to a arbitrary value, since sprites cannot share a slot, neither there can be "holes" on the group array.
But there are the functions sprite.toFront() and sprite.toBack()
I personally create more groups to control ordering, one of my apps is a snowglobe, I've create three groups, one for the background, one for the foreground, and between them a layer with the snow, this way I don't have to do background.toBack() and foreground.toFront() every frame.
I'm working on a project for a customer, and one of the requirements is that Users should be allow to assign to each Product (in their case, a Node) a Country or a Region, where the Region is simply a group of Countries, not necessarily in the same area.
I've seen there are many different ways to manage a list of Countries, often suggesting to use Taxonomy for them, but I can't figure out how could I allow users to create these "Regions". To make things complicated, customer wants to have a simple interface, where only one field is present on the form. In this field, Users must be able to choose either a Country or a Region.
Perhaps I could implement everything using Nodes, i.e.:
- Country Nodes
- Region Nodes, with a multiple-valued Node Reference to Country Nodes
But I wonder if that would not be too heavy...
I hope the issue is clear, if not feel free to ask and I'll try to explain it better. Thanks for all suggestions.
I ended up creating my own tables and code to handle the whole thing, as I couldn't find any better solution. I used tables from IP2Country module as a source for Country Codes.