Fragmented OCR listing multiple entities and numbers across columns
A dense OCR extract shows scattered names brands places and percentages. The text mixes company names such as Caesars CinBell CastieC CentiPs Citivan and many tokens resembling stock or rating figures with percent values and partial city or product fragments.
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Mstrodi
Ampe
Amrep Amste Amst
Amstr
Amste Amtel
Anare
Anche
Abbti
Addisso
Admiral Advi
Ween Alleen AirPri
Airco AJ
Aktor
Alask Alber
Alcon Alcos
Alexdrs de
Rts
Ig Ag
Sayae
Iya
Aie
Allah
Wurcbra
Coscngs
Castiec
Cavagh
Ccl
Corrae
Ceco
Chris Cra
Cleln
viClev P
Colina
Penn
al A
ConCoo Cart
Carr Carr
Pti
Commu
Resey Ey
Beally
Newyork
Dio
Dicka
duPont
Tye “al
East Air EastGs
Eostatiope Ns
Eaton
Eckrdik
Eg&g
Elixir
Eipason
Itra
Ae Axon
Tata
Vm. 1
R Aia
Tars
Ginos In
Fianen
Lvoe
Gulf Re
Gur
Ryunou
Harco
Rei
Reyes
Heinz
Hilor Pf
Hilton
Wwe
Houng
Hughie
Sa Tne
Wii
Lige
Ince
naiGa
Fancom
Inciicn
Inseptat
Insley Base Ntegon
Wwe Inne
Mee
I. Ae Cree
Teo
Ry $ i
Ur Zy
Sam
Ane
Yy Hes
Shy Eg
Popere
McCro
Masine Matsui
McCor
Latrobe
LearSie Vea Lears of
Leedsn
Leesona Vio CenPern Pf
Lehmn
Lennar
OM. Bt Ann
Lev
Tare Aa
Abe
Yak
Viala
A. Wt
Yise Kang
Flae
Moblio
Cen rCewe
Lune
Iit
Norco Noshu
WatAir
otDe atDie Ost
NLY
NortikWn
NorlinCp
Norris
Noacoal Ow
Noamt An Naamr
viNoCen
NoljGos
Norw
Ucely
Ogdn
Ali
Owen
YuTeTu
Oy Vou
Mu Kun
Oly
L ' Thea
Tia
The
Cedar Rapids
Atl
Vili
Miges
Chas
Cedar Rapids and
Lowa Cit