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A complete Data Visualization tutorial using Seaborn and Matplotlib
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data_visualization's Introduction
Data Visualization on Old Cars Price Dataset
- Histograms
- Bar graphs
- Boxplots
- Violin Plots
- Barplots
- Clustered Bar plots
- Scatterplots
- Heatmaps
- 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
- 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
- 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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