-0.34822005 -0.47665375 0.03720579 0.47589403 -0.00672156 0.32320717 -0.35345125 0.40676358 0.07390173 -0.24185944 -0.48310545 0.49467757 0.29391155 0.19388686 -0.3155914 -0.16691132 0.14910573 -0.28589424 -0.07235407 0.19466028 0.34566402 0.053630427 0.2584847 0.19892098 -0.52731097 0.021606807 -0.40700984 -0.4588698 -0.39081192 -0.10571883 0.3082845 0.061886646 -0.041393295 -0.11791359 0.04208187 0.40853143 -0.8079684 0.43210697 -0.11337336 0.03637801 0.26287475 0.21387875 -0.4083119 -0.16884932 0.5389637 -0.0886054 0.02949401 -0.018251698 0.02218448 0.15368143 -0.07376681 0.26281536 -0.05307603 -0.20962378 0.2610519 -0.22576144 -0.25370538 0.0633764 -0.22878018 -0.14430366 0.5421934 -0.46559912 -0.1709803 0.1556512
Word Correlation
cabs 0.7474647
taxis 0.7201668
lyft 0.71389335
drivers 0.7069829
driver 0.701478
📞703 0.67676055
cab 0.66758585
👉🚖 0.6522992
uber 0.6503772
fares 0.64470595
4450 0.6285339
rides 0.6275984
445 0.6090164
fare 0.6060536
🚖 0.6033537
speeding 0.59800696
bus 0.5842026
freight 0.5796906
🏨 0.57379955
operators 0.57209903
gtetamx 0.5710091
🌆 0.56586003
rickshaw 0.5635588
truck 0.5619629
ambulance 0.5500582
train 0.54875183
transport 0.5471528
bikes 0.5451203
operator 0.5382141
parking 0.53663445
flying 0.5319032
shuttle 0.53127617
pulls 0.5303774
hailing 0.5294803
buses 0.52459043
trains 0.52346534
car 0.52232426
crew 0.5195621
cdl 0.517944
motorcycle 0.50960714
amtrak 0.5066799
vehicles 0.5061633
cargo 0.503915
arlong 0.5038272
transportation 0.50240153
otr 0.5019629
ola 0.50150824
pedestrians 0.5013297
patrol 0.5000463