If you would like to follow along, here is how I processed the raw data using Julia:
# load the raw data file as a DataFrame julia> using CSV, DataFrames julia> df = CSV.read("une_rt_m_1.tsv", header = true, delim = '\t') 1×157 DataFrames.DataFrame. Omitted printing of 148 columns
This is what it looks like in a Jupyter Notebook:
In the next step, we will extract the values by selecting a DataFrame composed of 1 row and 2 columns to end and converting it into an Array:
julia> values = convert(Array, df[1, 2:end]) 1×156 Array{Union{Missing, String},2}: "21 974" "22 303" "22 085" "21 036" "20 849" ... # output omitted
Now, ...