Answered: Read the data into a DataFrame with ID…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Read the data into a DataFrame with ID as the index.

Convert the “Hired” column into Date/Time data type

Create a new column with years of experience with the company at present without rounding.

Create a new Boolean column for senior status with employees with at least 10 years of experience as senior and others are not.

Create a new column for longevity pay equal to $150 per whole year of experience in the company.

Create a list of column names for each data type in the DataFrtame.

Expert Solution

Step 1: Introduction

Since no programming language is mentioned, I am using python.

SInce no dataset is provided, I am considering dummy data.

Algorithm:

Input: Data dictionary data
Output: DataFrame df with new columns

Steps:

Create a Pandas DataFrame df from the data dictionary data and set the index to the ID column.
Convert the Hired column to Date/Time data type using the pd.to_datetime() function.
Create a new column YearsAtCompany by subtracting the year of hire from the current year and adding the years of experience.
Create a new Boolean column Senior by checking if the years at the company is greater than or equal to 10.
Create a new column LongevityPay by multiplying the years of experience by 150.
Create a list of column names for each data type using the df.select_dtypes() function.

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