russelllim22

<label for="year">
  Select a year: 
  <select id="year" selected="2020" bind:value={selectedYear}
    on:change="{
      async () => {
        letterCounts = [];
        let response = await fetch(`names data/yob${selectedYear}.txt`);
        let newFile = await response.text();
        showBars(newFile);
      }

russelllim22

{#each letterCounts as d, i}
  <!-- code for bars and labels here -->
  <g width = {xScale(d.count)} height = {yScale.bandwidth()} 
    style="transform: translate({xScale(d.count)/2}px,{yScale(d.letter) + yScale.bandwidth()/2}px); text-anchor: middle">
    {#if d.words.length > 0}
      {#each d.words as word}
      <text x={word.x} y={word.y} style="transform: translate({word.x}, {word.y});
          font-size: {word.size}px;
          fill: {cat10colors[Math.floor(Math.random()*10)]}">
        {word.text}

russelllim22

<script>
	import {scaleBand, scaleLinear} from 'd3-scale';
	import {csvParse} from 'd3';
	import * as cloud from 'd3-cloud'
	import { fly} from 'svelte/transition';

	let years = [], selectedYear = 2020, textFile = "", nameData = [], letters = [], letterNames = {}, letterCounts = [];
	for(let y = 1880; y<=2020; y++){
		years.push(y);
	}

russelllim22

# Solution to this puzzle: 
# https://www.cantorsparadise.com/can-you-design-an-algorithm-to-solve-this-lovely-logic-puzzle-bc674be1ffbf
# This algorithm does not use Goldbach's conjecture (this would cut the running time in half at least!)
list0 = []
for i in range(2,2022):
    for j in range(i+1,2023):
        list0.append([i,j])
print("Number of possible pairs initially: "+str(len(list0)))

# Statement 1

russelllim22

import random

# generate all 2^n possible combos for the new row
def make_possible_rows(existing_rows, n):
  new_rows = []
  for i in range(len(existing_rows)):
    new_rows += [existing_rows[i] + ['B']]
    new_rows += [existing_rows[i] + ['R']]
  if len(new_rows) == 2**n:
    return new_rows

russelllim22

import random
import pandas as pd

def simulate(n):
  trial_results = []
  while True:
    if len(trial_results) == n:
      return trial_results
    else:
      cards = []

russelllim22

import random
import pandas as pd

results_df = pd.read_csv('results_tally_blank.csv')
results_df.set_index("Country", inplace=True)

group_A = [{
  "team": "Netherlands",
  "rating": 1716
}, {