The code you provided is a R script that uses the readr and dplyr libraries to extract the addresses from a CSV file. The output of this script is a list of addresses in the format address, neighborhood, latitude, longitude.

To get the final answer, we need to understand what the problem is asking for. Based on the provided code, it seems that the problem is asking to extract the addresses from a specific webpage and store them in a CSV file.

The web page contains a table with columns: “Address”, “Neighborhood”, Latitude, and Longitude. The script extracts the data from this table and stores it in a dataframe using readr.

To solve this problem, we can use the following steps:

1. Inspect the HTML structure of the webpage to understand how the data is formatted.
2. Use R to extract the data from the webpage using the read_html function from the rvest library.
3. Convert the extracted data into a dataframe using the tibble package.

Here’s an example code snippet that demonstrates this:

# Install and load required libraries
install.packages("rvest")
install.packages("tibble")

library(rvest)
library(tibble)

# Inspect the HTML structure of the webpage
url <- "https://www.example.com/webpage"
html <- read_html(url)

# Extract data from table using XPath
addresses <- html_table(html, strip_whitespace = TRUE)

# Convert extracted data into dataframe
df <- addresses

# Print the first few rows of the dataframe
head(df)

In this example, we use read_html to extract the HTML content of the webpage and then use html_table to extract the table data. We convert the extracted data into a dataframe using tibble and print the first few rows using head.

Last modified on 2023-10-28