Baselight

Cars93

EDA, Pandas and Missing Data Treatment

@kaggle.yashpaloswal_cars93

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About this Dataset

Cars93

Content:-
The file contains basic cars details

Goal:- You can do multiple things using this dataset such as

  1. Missing data treatment 
  2. Various Pandas operations (to learn; the basic concepts) 
  3. EDA 
  4. You can choose to run any machine learning algorithm, considering any features and any label.

The basic purpose of this dataset is to get started in the field of data science and machine learning.

Tables

Cars93

@kaggle.yashpaloswal_cars93.cars93
  • 25.91 KB
  • 93 rows
  • 28 columns
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CREATE TABLE cars93 (
  "id" BIGINT,
  "manufacturer" VARCHAR,
  "model" VARCHAR,
  "type" VARCHAR,
  "min_price" DOUBLE,
  "price" DOUBLE,
  "max_price" DOUBLE,
  "mpg_city" BIGINT,
  "mpg_highway" BIGINT,
  "airbags" VARCHAR,
  "drivetrain" VARCHAR,
  "cylinders" VARCHAR,
  "enginesize" DOUBLE,
  "horsepower" BIGINT,
  "rpm" BIGINT,
  "rev_per_mile" BIGINT,
  "man_trans_avail" VARCHAR,
  "fuel_tank_capacity" DOUBLE,
  "passengers" BIGINT,
  "length" BIGINT,
  "wheelbase" BIGINT,
  "width" BIGINT,
  "turn_circle" BIGINT,
  "rear_seat_room" DOUBLE,
  "luggage_room" DOUBLE,
  "weight" BIGINT,
  "origin" VARCHAR,
  "make" VARCHAR
);

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