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Data Visualization on Old Cars Price Dataset

About Dataset:

Packages used:

Some common plots used:

  • Histograms
  • Bar graphs
  • Boxplots
  • Violin Plots
  • Barplots
  • Clustered Bar plots
  • Scatterplots
  • Heatmaps

Conclusions:

Univariate:

  • Top cities of old cars: Mumbai, Hyderabad, Kochi, Coimbatore. least Ahmedabad
  • Kilometers Driven is almost uniform distribution
  • Diesel and Petrol constitutes more than 80% of cars
  • Most cars are manual
  • Price of Car: first > Second > third > Fourth & Above
  • log of prices is normally ditributed. ie price is highly right skew
  • Top 4 cars: Maruti, Hyunday, Honda, toyota constitute more than 80% of cars

Bivariate:

  • Order of Mileage: CNG > LPG, Diesel > Petrol
  • Mileage of ELectric Vehicles are NaN
  • LPG has high variability
  • CNG is highly left skew
  • Highest average price of car in Coimbatore and lowest in Kolkata
  • Price has a direct correlation with Price
  • Electric and Diesel cars are expensive, while CNG and LPG are cheaper
  • Price of Automatic Cars is SIGNIFICANTLY high than Manual cars
  • Engine_CC and Price: slightly +ve correlation
  • Power_bhp and price: good +ve correlation
  • Power_bhp and Engine_CC: Highly =ve correlation
  • Kilometers Driven and Year: Good -ve correlation

Multivariate

  • LPG and CNG lie have lower Engine_CC and Power_bhp
  • Only Petrol cars lie in the higher Power_bhp and Engine_CC range
  • In Manual vs Automatic cars, the trend of Petrol, Electric and Disel car prices is completely reversed

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