Project 1

To perform data cleaning on the Automobile 1985 dataset and perform descriptive analytics, you can follow these steps:

• Import the necessary libraries: Start by importing the required libraries such as pandas, numpy, and matplotlib for data manipulation and visualization.

• Load the dataset: Load the dataset into a pandas DataFrame.
• Explore the dataset: Take a look at the dataset to understand its structure and identify any missing values or inconsistencies.
• Handle missing values: Identify missing values in the dataset and decide how to handle them. You can either drop the rows with missing values or impute them with appropriate values.
• Clean the data: Perform data cleaning operations such as converting data types, removing unnecessary columns, and renaming columns if needed.
• Perform descriptive analytics: Analyze the cleaned dataset to gain insights and understand the data distribution.

These are just a few examples of the descriptive analytics you can perform on the dataset. You can explore further based on your specific requirements and the nature of the dataset.