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async function scrollDown() {
  const wrapper = document.querySelector("#search-page-list-container");
  await new Promise((resolve, reject) => {
    var totalHeight = 0;
    var distance = 600;

    var timer = setInterval(async () => {
      var scrollHeightBefore = wrapper.scrollHeight;
      wrapper.scrollBy(0, distance);
      totalHeight += distance;

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from flask import Flask, request
import uuid

app = Flask(__name__)

@app.route('/error_endpoint', methods=['POST'])
def receive_error_message():
    error_message = request.form.get('error_message')

    if error_message:

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# Pareto Party

# Load libs
library(tidyverse)
library(readstata13)
library(car)
library(dplyr)
library(xtable)
library(dplyr)

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import csv
import pandas as pd
import numpy as np

df = pd.read_csv('parsed-new.csv', header = None, delimiter="\t", quoting=csv.QUOTE_NONE, encoding='utf-8')

df.head()

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# 
# Get All Unique Domain Names from comScore
# 
# INPUT: comScore browsing data file
#
# OUTPUT: a text file containing a list of unique domains
#
# PAREMETERS:
#   + INTERNET_USAGE_FILE: path to the comScore browsing data
#   + FINAL_OUTPUT_FILE: path to intended output file

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library(readr)
library(dplyr)
a_string <- read_file("nielsen_2016")
split_lines <- strsplit(a_string, "\r\n")[[1]]
split_cols  <- strsplit(split_lines, "--")
dat_frame <- ldply(split_cols)
names(dat_frame) <- c("dma", "counties")
write.csv(dat_frame, file = "dma_counties_2016.csv", row.names = F)

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