  In collider physics, parton distribution functions (PDFs) play a crucial role
in computing theoretical cross sections for scattering reactions. This study
explores how different experimental data sets influence extracted PDFs in
CTEQ-TEA and MSHT NNLO PDF analyses. To gauge the impact of experimental data,
including the HERA and ZEUS combined charm and beauty production, LHCb 7 TeV
charm and beauty production, CMS 7 TeV W+c production, and CMS 13 TeV inclusive
jets, I utilize the $L_2$ sensitivity statistical indicator in the Hessian
framework as a visual representation of their respective impacts. This
sensitivity quantifies the statistical pulls on individual data sets against
the best-fit PDFs, facilitating the identification of tensions among competing
data sets. Using the QCD fitting framework xFitter, I extract the necessary
values for plotting $L_2$ sensitivities for ten distinct data sets implemented
in the program, employing recent PDF sets from the CTEQ-TEA and MSHT groups.
The computed $L_2$ sensitivities estimate the potential impact of the examined
data sets.
