The dataframe column’s describe shows: 5 age 29.6991 0.42 28.0 80.0 177 Union{Missing, Float64} I can get rid of the missing values with this: replace!(train_df.age, missing => median(skipmissing(train_df[:age]))); However, the type is still not correct: 5 age 29.3616 0.42 28.0 80.0 0 Union{M…

Since you are modifying in-place, of course the element type of the container will remain the same. There are many solutions, eg using DataFrames, StatsBase, Statistics df = DataFrame(:age => Vector{Union{Float64,Missing}}(rand(100))) df.age[sample(axes(df, 1), 10)] .= missing df.age = replace(df.a…

Dropping missing values in dataframes

General Usage

StatisticalMouse October 25, 2020, 2:39pm 10

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Dropping missing values in dataframes

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