Dataset: Shipping

About this Dataset

Shipping

The dataset used for model building contained 10999 observations of 12 variables. The data contains the following information:

ID: ID Number of Customers.
Warehouse block: The Company have big Warehouse which is divided in to block such as A,B,C,D,E.
Mode of shipment:The Company Ships the products in multiple way such as Ship, Flight and Road.
Customer care calls: The number of calls made from enquiry for enquiry of the shipment.
Customer rating: The company has rated from every customer. 1 is the lowest (Worst), 5 is the highest (Best).
Cost of the product: Cost of the Product in US Dollars.
Prior purchases: The Number of Prior Purchase.
Product importance: The company has categorized the product in the various parameter such as low, medium, high.
Gender: Male and Female.
Discount offered: Discount offered on that specific product.
Weight in gms: It is the weight in grams.
Reached on time: It is the target variable, where 1 Indicates that the product has NOT reached on time and 0 indicates it has reached on time.

Tables

Shipping

@kaggle.nayanack_shipping.shipping

141.7 KB
10999 rows
12 columns


CREATE TABLE shipping (
  "id" BIGINT,
  "warehouse_block" VARCHAR,
  "mode_of_shipment" VARCHAR,
  "customer_care_calls" BIGINT,
  "customer_rating" BIGINT,
  "cost_of_the_product" BIGINT,
  "prior_purchases" BIGINT,
  "product_importance" VARCHAR,
  "gender" VARCHAR,
  "discount_offered" BIGINT,
  "weight_in_gms" BIGINT,
  "reached_on_time_y_n" BIGINT
);