Data Skills for Media Professionals (eBook)

KEN BLAKE, PHD, is Associate Professor of Journalism and Strategic Media at Middle Tennessee State University. He researches public opinion and teaches undergraduate courses in writing and reporting, as well as a graduate course in empirical media theory. JASON REINEKE, PHD, is Associate Professor of Journalism and Strategic Media at Middle Tennessee State University. He teaches an undergraduate course in free expression, as well as a graduate course in quantitative research methods, and has published in some of the field's top academic journals.

Preface ix

1 Basic Data Analysis 1

Some Example Data 1

An Introductory Tool: Google Sheets 3

Getting the Data into a Google Sheet 4

Getting a Fixed Copy of the Data 9

Formatting the Data 11

Cleaning the Data 12

Planning your Analysis 13

Filtering 14

Calculating 17

Labeling and Tidying Up 21

Sorting 22

Where's the "Save" Button? 24

Writing About the Analysis Results 24

Recap 26

References 26

2 Data Visualization 27

Preparing Your Data 28

Making a Column Chart 29

Publishing the Chart to the Web 33

Choosing the Right Type of Chart 35

Recap 41

References 41

3 Making Online Maps 43

Downloading a Shapefile 44

Importing the Shapefile into QGIS 45

Examining the Shapefile and Joining it with the Unemployment Data 47

Customizing and Publishing the Map File with Google My Maps 54

Mapping Specific Points with Latitude and Longitude Coordinates 64

Mapping Specific Points with Addresses 73

Making a Map When You Have no Geolocation Data to Import 77

Recap 83

References 84

4 Microsoft Excel and PivotTables 85

Introducing PivotTables 85

Getting Started: Aggregating Contributions by City 89

Using the PivotTable Tool's "Filters" Box 92

Using the PivotTable Tool's "Columns" Box 94

Investigating Relatedness 96

Spotting the Absence of a Relationship 105

Downloading Campaign Finance Data from the Federal Election Commission 107

Excel vs. Google Sheets 111

Recap 112

References 113

5 Matching Records with Excel's VLOOKUP 115

Overview 118

Aggregating each Candidate's Donations by Source 119

Using VLOOKUP 122

Using Filters to Create a Classification Column 127

VLOOKUP Pitfalls 129

Recap 131

References 131

6 Google Sheets and Inferential Statistics 133

Sampling and Assumptions of Inferential Statistics 134

Getting the Data and Installing the XLMiner Google Sheets Add-on 136

Computing and Understanding Basic Inferential Statistics 138

Descriptive Statistics and Confidence Intervals 140

The One-sample T-test 143

The One-sample Chi-square Test 148

Knowing which Test to Use 152

Computing and Understanding Basic Bivariate Statistics 154

Two-sample T-tests 154

Chi-square Analysis of a PivotTable 158

Correlation Between Two Continuous Variables: Regression 164

Recap 169

References 170

7 Other Functions, Tools and Techniques 171

DATE, NOW, and DATEDIF 171

AVERAGE, STDEV, MEDIAN, MIN, MAX 173

RAND 175

LEFT, MID, and RIGHT 175

The "Text to Columns" Wizard 177

CONCATENATE 179

IF and IFS 180

IFERROR 182

COMBIN and PERMUT 183

Google Forms 184

Comparing Numbers Over Time 187

Adjusting for Inflation 187

Adjusting for Population Changes 188

Recap 190

References 190

Index 191