Dataframe recalculation and plot

General Usage
,
1 
using XLSX, DataFrames, PlotlyJS, Dates, Statistics

df = coalesce.(DataFrame(XLSX.readtable("台湾.xlsx","财政税收")), 0.0)

# coalesce将missing替换为浮点数0.0

###########
# 各项税收
###########

scatter_data = GenericTrace{Dict{Symbol, Any}}[];
proportion_tax = DataFrame()
for col in names(df)[3:end]
    proportion_tax[!, col] .= df[!, col]./df.總計
    if any(proportion_tax[!, col] .> 0.05)
        push!(scatter_data, scatter(x = df.統計期, y = proportion_tax[!,col], name = col))
    end
end

In this for loop, the proportion of various taxes to the total tax income is recalculated and assigned to another Dataframe proportion_tax， how should I pre-define the proportion_tax to avoied error?

p = plot(
    scatter_data,
    Layout(
        title = "占比超过5%的各项税收",
        xaxis = attr(dtick = "M12", tickangle = -45, tickformat="%b\n%Y")
    )
)

In addition，if I want to plot the latest data, for example the last 10 years rather than all the data, what shoud I modify my code?