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Analyzing Analysts

You work for an online job placement agency. There has been a massive spike in demand for data analysts in the past few years. Your manager has asked you to comb through LinkedIn analyst positions and prepare a report that could be helpful to data analysts looking for jobs.

What are the most in-demand seniority levels? What skills get mentioned the most? Are there differences between regions? Use your best judgment to extract the most helpful information for prospective candidates. You have access to three files containing postings scraped from three different locations.

The original source of the data can be found here.

suppressPackageStartupMessages(library(tidyverse))

africa <- read_csv("linkedin-jobs-africa.csv", show_col_types = FALSE)
canada <- read_csv("linkedin-jobs-canada.csv", show_col_types = FALSE)
usa <- read_csv("linkedin-jobs-usa.csv", show_col_types = FALSE)

africa