/Delivery-Data-Analysis

Join our Hacktoberfest 2023 project! Analyze delivery data, clean and preprocess it, calculate metrics, identify top performers, and create insightful visualizations for data-driven improvements in delivery services

Apache License 2.0Apache-2.0

Delivery Data Analysis

Dataset Link: link🔗

Dataset Details:

  • Dataset: "delivery_data.csv"
  • Columns:
    • Order_ID (Unique identifier for each delivery order)
    • Date (Date of the delivery)
    • Delivery_Status (Status of the delivery - Delivered, In Transit, Failed, etc.)
    • Delivery_Time (Time taken for the delivery in minutes)
    • Delivery_Cost (Cost of each delivery in INR)
    • Customer_Rating (Rating given by the customer for the delivery service)
    • Rider_ID (Unique identifier for each delivery rider)

Tasks:

  1. Clean the dataset and handle any missing or erroneous data.
  2. Calculate the average delivery time and cost for each month.
  3. Identify the top-performing delivery riders based on their average delivery time and customer ratings.
  4. Analyze the correlation between delivery time and customer ratings.
  5. Create data visualizations to present your findings.
In case of any difficulty make sure to get connected via LinkedIn or leave a message in the issues tab.