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Erschienen in:
Introduction to Modern Survey Analytics Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

2. First Step: Working with Survey Data

verfasst von : Walter R. Paczkowski

Erschienen in: Modern Survey Analysis

Verlag: Springer International Publishing

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Abstract

You cannot do basic survey data analysis or any type of data analysis, whether it be for surveys or not, without understanding the structure of your data. For surveys, this means at least understanding the background of your respondents: their gender, age, education, and so forth. This amounts to understanding respondents’ profiles. Examples include age distribution, gender distribution, income distribution, political party affiliation distribution, and residency distribution, to mention just a few. Profiles provide a perspective on how your respondents answer the main survey questions; different groups answer differently. But your data have to be organized to allow you to do this. In this chapter, you will gain a perspective on how to organize your data to prepare to look at the basic distributions of your respondents. You will then begin to look at your data in the next chapter.

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Vorheriges Kapitel Introduction to Modern Survey Analytics
Nächstes Kapitel Shallow Survey Analysis
Fußnoten
1
The packages are sometimes referred to as libraries and modules. I will use packages.
 
2
Conda can be run from the Anaconda Navigator. See https://​www.​anaconda.​com/​.
 
3
There is a way around this, but I do not recommend that you not specify the package name. The reason is simple: There may be two or more functions with the same name.
 
4
Notice the percent sign before the command run and the use of double quotes. From the IPython documentation: “On Windows systems, the use of single quotes ‘when specifying a file is not supported. Use double quotes ”.
 
5
I have not done an exhaustive check of all available statistical software packages, but based on my experience with a large number of them, especially all the major ones, I believe this statement is correct.
 
6
The word “dictionary” will be used several times in the next discussions, so it will be an overworked word. The correct usage has to be inferred from context.
 
7
These descriptions follow Paczkowski (2016). Used with permission of SAS.
 
8
The integer is an 8-bit integer, or 1 byte. This means that this is the simplest representation of the categories, which has definite memory-saving implications.
 
9
The order when sort = False is used is based on a hash table and so is in an arbitrary order. See StackOverFlow article at https://​stackoverflow.​com/​questions/​33661295/​pandas-value-countssort-false-with-large-series-doesnt-work.
 
10
“Other” is defined as Public Health Service, Environmental Services Administration, National Oceanic and Atmospheric Administration, and US Merchant Marine.
 
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Metadaten
Titel
First Step: Working with Survey Data
verfasst von
Walter R. Paczkowski
Copyright-Jahr
2022
Buch
Modern Survey Analysis

Print ISBN: 978-3-030-76266-7

Electronic ISBN: 978-3-030-76267-4

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-76267-4_2