democratic | A Golang API skeleton with GraphQL | GraphQL library

I have created a SimpleDialog in Flutter which shows all the list of country codes. Now I want some margin among all these items. Right now, these are tightly packed to each other.

This is how it looks: ]

Code

I am trying to make predicitions with my LDA model. But when i pass a string to it it gives an error about mismatching input features. Now my question is how can i make my model accept any input and still predict the right topic. Right now it takes 54777 as input.

model:

I have a very large and messy dataset containing both country names and regions in a column named 'country.' I need to eliminate the regions, but leave the countries. Fortunately, the regions are written in all uppercase letters, so they can be distinguished from the countries, which only have one uppercase letter at the beginning.

How can I remove rows with data$country entries as entirely uppercase letters?

Here is an example of my dataset:

I'm trying to recreate the mean-median difference test described here: Archive of NYT article. I've downloaded House data from MIT's Election Lab, and pared it down to the 2012 Pennsylvania race. Using dplyr, I whittled it down to the relevant columns, and it now looks something like this:

I'm doing sentiment analysis on a large corpus of text. I'm using the bing lexicon in tidytext to get simple binary pos/neg classifications, but want to calculate the ratios of positive to total (positive & negative) words within a document. I'm rusty with dplyr workflows, but I want to count the number of words coded as "positive" and divide it by the total count of words classified with a sentiment.

I tried this approach, using sample code and stand-in data . . .

here is how my dataset looks like, I am trying to filter out country that the 4th column is >= 1000.

I get multiple countries as an input that i have to split by space. If the country has multiple word it's declared between "". For example

I've recently been teaching myself python and instead of diving right into courses I decided to think of some script ideas I could research and work through myself. The first I decided to make after seeing something similar referenced in a video was a web scraper to grab articles from sites, such as the New York Times. (I'd like to preface the post by stating that I understand some sites might have varying TOS regarding this and I want to make it clear I'm only doing this to learn the aspects of code and do not have any other motive -- I also have an account to NYT and have not done this on websites where I do not possess an account)

I've gained a bit of an understanding of the python required to perform this as well as began utilizing some BeautifulSoup commands and some of it works well! I've found the specific elements that refer to parts of the article in F12 inspect and am able to successfully grab just the text from these parts.

When it comes to the body of the article, however, the elements are set up in such a way that I'm having troubling grabbing all of the text and not bringing some tags along with it.

Where I'm at so far:

I have created a script to modify a CSV file, but it does not work correctly:

1. The awk -F, 'NR==1| does not print the header but the second row.

2. Even though there are only some columns specified in while read V0 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V14 V15 V16 it prints out all columns of the csv.

Some sample data: