Inconsistent formatting of floating point numbers

I would expect an entire column to either use scientific notation or not. It's especially odd that numbers in descending order flip between notations:

julia> d = DataFrame(x=[717068.92, 506896.01, 472500.85])
3×1 DataFrame
 Row │ x
     │ Float64
─────┼────────────────
   1 │      7.17069e5
   2 │ 506896.0
   3 │      4.72501e5

julia> d.x
3-element Vector{Float64}:
 717068.92
 506896.01
 472500.85

(@v1.9) pkg> st DataFrames
Status `/me/.julia/environments/v1.9/Project.toml`
  [a93c6f00] DataFrames v1.3.5

julia> versioninfo()
Julia Version 1.9.0-DEV.1223
Commit f066855cd5b (2022-08-31 02:40 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × AMD Ryzen 7 4700U with Radeon Graphics
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.5 (ORCJIT, znver2)
  Threads: 8 on 8 virtual cores
Environment:
  JULIA_DEPOT_PATH = /me/.julia

Reproduce the Julia REPL example from the issue and trace the DataFrame display formatting entry point that chooses numeric notation. Determine the intended column-wide notation behavior, then add or update coverage so the sample column renders consistently.