HorsePower | Optimizing database queries with array programming | Code Analyzer library

With a very wide dataset, is it possible to use variable labels to select columns?

The ggpredict() function is part of the ggeffects package. I like to change the names of the coefficients in the following plot:

Is there a pandas vectorized way to produce a certain subset of all pair-wise rows combinations as follows: given distinguished group of rows, I want to pair each row from the group with all other rows (i.e. with both ex-group and inside group rows). Thus if the whole set is of length n and the group of length k, k << n then I'm looking for a vectorized O(nk) solution.

For example, suppose we are given the following data frame

I'm making a simple React app where I am getting a list of cars through useEffect hook and then mapping through each one to display them on the screen. Then, I have one button whose purpose would be to sort the cars based on their horsepower. So, when clicking on that button the user would see only the cars whose horsepower is greater than for example 700.

I finally want to master the apply functions in R. Unfortunately it seems I'm too dumb to understand the common examples, which are often not complex enough to represent my use case. This is my example:

I want to replace the car name in mtcars with an attribute, e.g. "speedy car" or "scrap truck", based on a complex function:

I want to find a way to compare the values of hp of a car using Poisson distribution to see which one is more likely to have the lowest value of hp from all cars for example Mazda Rx4 has a horsepower of 110. I want to simulate this value following the Poisson distribution for each of the cars in the sample. I want to create a table that compares the probability of each car for all the cars in the data frame to have the lowest value in this indicator

I am using this example for simplicity, in reality, these are players names for golf player, and the horsepower is the number of strokes taken, that is why I want to have a list that has the probability of each observation in my sample to have the lowest score in this indicator

I am extracting rows based on input of a column header and a value. For example, to extract data rows for all 'bmw' under 'company.

I can do this under strings (e.g. bmw, mercedes under 'company') but not numbers (e.g. '111' under horsepower).

I tried to change numbers like '111' to string but to no avail.

Sorry for the bad formatting, learning the platform.

Any help is appreciated!

Part of my data is:

I'm having issues getting the proper summary of a qualitative data column, in both the RGui and RStudio environments. The data in question is the "Auto" data from "An Introduction to Statistical Learning, with Applications in R" (www.StatLearning.com). The issue in the "name" column is present whether I use the "Auto.csv" or "Auto.data" files from the book's website. What's interesting is that the RGui correctly characterizes the "horsepower" column, but RStudio does not. Again, neither correctly characterize the "name" column. Any help to correct this situation would be greatly appreciated.