zipcodes | Zipcode lookup node module | Runtime Evironment library

I am only good at basics in R coding and am not sure how to do complex loops. I have a large dataframe that has a column of addresses and a column of zipcodes (among other variables). There are many NA's in each column. The address column has incomplete data for some rows where the zip and state or just the zip is missing. All of my data is from the same state.

I need to clean the address data for geocoding later. I don't want to omit the NA rows because I will use the same dataframe for zipcode-only analysis as well (also I get lost when I make too many similar objects). I have a lot of NAs in Address where I still have a Zipcode value for the same row.

My idea for a solution is:

1. for each row in df$Address, if it is not an NA
2. and if df$Address doesn't end with df$Zipcode
3. then paste df$Address combined with "MI " and df$Zipcode as new column value
4. remove duplicate words (for the entries where it had address with state but missing zip only)

Minimum reproducible sample:

In the following code of an ASP.NET Core 3.1 MVC project, the Get action method Edit (...) is displaying a dropdown list of zipcodes. It seems that by default, the dropdown displays the first zipcode in the list (i.e. 1301) as the selected value.

If I want to display the selected value from database in the dropdown list, how can I achieve it from action method Edit(...) without creating a view model?

I have a rather complex data model, where zipcodes and city is members in the table Shop, but that table has a many-to-many relationship with product by a conjunction table ProductShop. I'm a beginner so I have been trying to follow this tutorial, but it doesn't get me so far. https://docs.microsoft.com/en-us/aspnet/core/data/ef-mvc/update-related-data?view=aspnetcore-5.0 This is my Edit get method in the controller:

I have a geojson file of zipcode boundaries.

I am working on a machine learning problem, where I have a lot of zipcodes (~8k unique values) in my data set. Thus I decided to hash the values into a smaller feature space instead of using something like OHE.

The problem I encountered was a very small percentage (20%) of unique rows in my hash, which basically means from my understanding, that I have a lot of duplicates/collisions. Even though I increased the features in my hash table to ~200, I never got more than 20% of unique values. This does not make sense to me, since with a growing number of columns in my hash, more unique combinations should be possible

I used the following code to hash my zip codes with scikit and calculate the collisions based on unique vales in the last array:

I have a GIS Map in which I uploaded a shape file with the zipcodes of a given region. I want to generate random points inside these regions, but I haven't been able to get the region element with the zipcode String name. I tried using the searchRegionFirst and searchRegion functions with the region name loaded from the shape file but they end up finding other places not related to the zones I have. Is there a way to get the region by its custom name?

Thank you

I have a pandas series containing (5 digit) zip codes. Some (few) of the elements in the series are actually strings with multiple zip codes separated by a '/'. I am looking to extract those special cases to an array, to later add them to the series. This following lambda function works:

I cant seem to get my do while loop right, I am trying to make a program that takes an order asks if there are anymore orders and if there are then it will restart the loop and keep track of the total. If the user picks N then the program exits and prints the total in full. The tax rate and zip codes will come into play latter I really just need some help with the loop part.

I have a column called zipcode in the pandas data frame. Some the rows contain NaN values, some contain correct string format like '160 00' and the rest contain the wrong format like '18000'. What I want is to skip NaN values (not to drop them) and convert wrong zipcodes into correct ones; for example: '18000' -> '180 00'. Is it possible to do that by applying lambda? All I got is this so far:

As the title says, I want to add some headers to a list view I have displaying addresses. It seems like I can basically choose between my list view displaying on page, or my headers. In the picture below, I have my headers (4 textviews) in a linear layout. My list view does not display when the linear layout is in my code

When I remove my linear layout, my list view appears! My code is below: