Learn How to Wrangle Large Datasets Using the General Social Survey (2018) Using IBM SPSS / Julie Scott Jones.

Format:

Book

Author/Creator:

Jones, Julie Scott, author.

Language:

English

Subjects (All):

Big data.

Physical Description:

1 online resource

Other Title:

Learn how to wrangle large datasets using the general social survey (2018) using International Business Machines© Statistical Package for the Social Sciences©

Place of Publication:

London : SAGE Publications Ltd, 2025.

Summary:

This Dataset is designed for learning how to wrangle large datasets prior to removing errors as part of data cleaning. Large datasets may be used in descriptive and/or inferential analysis and are ideal for secondary data analysis. When a large dataset is downloaded, it can be overwhelming for someone new to working with real data. This guide outlines the basics of data wrangling when a dataset is first downloaded, prior to future data cleaning, descriptive analysis, transformation, and/or inferential analysis. Conducting some initial data wrangling prevents errors in your data, saves time and effort, and can make you feel more in control of your data. This guide covers how to navigate a large dataset, identify and move selected variables in a dataset, and identify and remove unwanted variables. The Dataset is the entire uncleaned 2018 General Social Survey. The Dataset file is accompanied by a Student Guide and a How-to Guide for IBM SPSS.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-03-622254-3

9781036222543

OCLC:

1523170631