utm | Bidirectional UTM-WGS84 converter for python

If I am understanding well, you want to return the Source by a custom order where Direct has priority over all others and the problem is that VLOOKUP, INDEX(MATCH, and XLOOKUP all deliver the first (or last) match alphabetically with no respect to your custom priority, so they won't give you the results you want.

I see two approaches that are illustrated below. To make this more clear, I took your table and converted it into an Excel Table (CRTL t) that I named tContacts and I added a third email address and a source of "social" to it to illustrate the advantage of method 2.

Quick Answer

You can jump straight to NOTES below and implement Method 1 with a Named Range to test if this really works. The rest is just an explanation of how it works and the choices you have if I have misunderstood or you want to modify it further.

METHOD 1 XISs - Keep it simple, no helpers

Here, you will put in a lookup value (I put mine in D9) that I named lookupVal for clarity of understanding. I used LET to make this more clear and speed up calc, but it is not required - you can collapse everything into the final XLOOKUP below if you prefer.

Marshall here from Calendly. Since you are using React and Gatsby, you can use the react-calendly package to load the inline embed on your site.

You will need to install the react-calendly package in your project, and then import the InlineWidget like this at the top of your file:

Based on dput, you only have one column in your data. It is good practice to examine your data! If you look at str(tracks.utm@data) the only column is TripID and you are attempting to specify the third column.

If you look at the functions help you will see the xy argument that you are passing specifies:

An object inheriting the class SpatialPoints containing the x and y relocations of the animal. If xy inherits the class SpatialPointsDataFrame, it should contain only one column (factor) corresponding to the identity of the animals for each relocation.

This means that TripID should be the only column, be a factor and correspond to the individual animal id(s). Since it is expected that there is only a single column it does not need to be specified, only the sp object. However, apparently the need for a single column does not seem to be the case and you can have multiple columns but need to specify the column containing the unique animal ids, thus the column bracket index.

To ensure that your animal ids are a factor (per help), I would recommend coercing the appropriate column (eg., TripID) to a factor.

The data you are looking to extract is JSON data. It is however not completely valid JSON. You'll have to clean it up a little bit. You can use sites like jsonlint.com to validate JSON data.

The issues with the JSON data are (1) at the beginning, you need to remove the part that says "Highcharts.maps["countries/in/custom/in-all-disputed"] =" up until the first curly bracket {; (2) three lines have a "comment" with two slashes followed by four digits, like this "// 0000". These need to be removed before ingesting the JSON data (I see "// 8440" twice and "// 1227" once).

After doing this you can extract the data from the txt file in R with the jsonlite package.

I have followed a slightly different approach, that is reading and projecting the shapefile with sf, convert it to Spatial* and create an owin. See reprex:

You have values of utm and sem in prueba that you don't have in prueba2, so get filtered out by your UPDATE statement.

You probably need something like (untested):

Seriously an overkill solution, but this can be super flexible and generalized to do many other things.

1. Data that's captured in GA already WON'T BE AFFECTED by the filters. They're not retroactive.

2. If you want to remove fbclid then use the query string parameter exclusion feature: https://support.google.com/analytics/answer/1010249?hl=en

I found a reason. When invalidate two SKGLView simultaneously, I face JNI ERROR (app bug): accessed deleted Global 0x606a.

So, I change from SKGLView to SKCanvasView. After that, issue never showed up.