What Makes A Good Car Data Visualization

What Makes a “Good” Car: Data Visualization
For more than 100 years companies have struggled to sell a car that is desirable. They struggle to predict what people want in transportation. In the past year alone, millions of cars were built, but were they the right ones? Subaru recently invested nearly a billion dollars into designing and building the new Impreza, but will it be worth it? Since they got lower ratings on the sedan, they reverted back to a hatchback based on a few ratings. Meanwhile, Lexus has kept their cars nearly exactly the same for years and turns one of the largest profits of any company, their brand is actually valued at 9 billion dollars, but what makes people buy these cars? These companies may be wasting their money on a car that won’t be profitable, they could even run out of business. For decades cars have had to make guesses on what cars people want, but they could be

I will also have a few of these cars, like the SRT Viper or a McLaren 675lt, to see if they sell well with such high margins, or if they are not worth the years of design and engineering. Of course, people have opinions; they may think a sports car is better than a wagon, or horsepower is more important than torque, but most people just want something for transportation. They may buy a car for MPG, or the interior. I have to be careful with biases in myself and in others providing the data. I want to get a mix between consumer and expert facts so that I can get an equal amount of opinions and facts.
Correlation and causation are also two very important factors I need to beware of. My first chart shows that cars with less MPG tend to have a higher rating, but that does not mean people like to spend their money on gas, it means that there is another component that they are willing to sacrifice for. These correlations will probably show up a lot and I need to be sure that I have confirmed the causation before I make any