MANUAL
ADAM POLIAK
Bryn Mawr College
D ATA S CIENCE FOR A LL
Brennan Davis
California Polytechnic State University
Hunter Glanz
California Polytechnic State University
,Data Science for All
Table of Contents
Chapter 1: What Is Data Science? .............................................................................................. xii
Chapter Review Questions ...................................................................................................... xii
Section 1. Introduction to Data Science ................................................................................... xii
Section 2: Data in Tables ....................................................................................................... xii
Section 3: Data Preparation..................................................................................................... 2
Section 4: Data Analysis and Storytelling ................................................................................. 2
Section 5: Data Science in Society and Industry ........................................................................ 3
Explaining the Concepts .......................................................................................................... 4
Try It Yourself ........................................................................................................................ 4
Try It Yourself: Identify Variable Uses and Types (1.2) ............................................................. 4
Try It Yourself: Tidy Messy Data (1.2) .................................................................................... 5
Try It Yourself: Tidy Data for Better Analysis (1.2) ................................................................... 5
Try It Yourself: Investigate Metadata (1.2) ............................................................................... 6
Try It Yourself: Illustrate Unstructured Data Using Structured Tables (1.3) .................................. 6
Try It Yourself: Identify Analysis Types (1.4) ........................................................................... 6
Try It Yourself: Optimize the Narrative (1.4) ............................................................................ 7
Applying the Concepts............................................................................................................. 7
Activity: Identify Variable Uses and Types ............................................................................... 7
Activity: Tidy Messy Data ...................................................................................................... 7
Activity: Tidy Data for Better Analysis .................................................................................... 8
Activity: Investigate Metadata................................................................................................. 9
Activity: Illustrate Unstructured Data Using Structured Tables ................................................... 9
Activity: Optimize the Narrative ............................................................................................. 9
Activity: Identify Analysis Types ............................................................................................ 9
Chapter 2: Data Wrangling: Preprocessing .................................................................................10
Chapter Review Questions ......................................................................................................10
Section 1: What Is Data Wrangling? .......................................................................................10
Section 2: Cleaning Missing Data ...........................................................................................10
Section 3: Cleaning Anomalous Values ...................................................................................11
Section 4: Transforming Quantitative Variables .......................................................................11
Section 5: Transforming Categorical Variables ........................................................................16
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, Table of Contents
Section 6: Reshaping a Dataset...............................................................................................19
Section 7: Combining Datasets...............................................................................................19
Explaining the Concepts .........................................................................................................22
Try It Yourself .......................................................................................................................22
Try It Yourself: Identifying Missing Data (2.2) ........................................................................22
Try It Yourself: Impute Missing Values from Internal Data (2.2)................................................23
Try It Yourself: Identify Extreme Data Values (2.3) .................................................................23
Try It Yourself: Clean Incorrect Formats (2.3) .........................................................................24
Try It Yourself: Create a Categorical Variable from a Quantitative Variable (2.4) ........................24
Try It Yourself: Create a Boolean Variable that Represents a Categorical Variable (2.5) ...............25
Try It Yourself: Splitting a Variable into Multiple Variables (2.5) ..............................................25
Applying the Concepts............................................................................................................26
Activity: Identify Missing Data ..............................................................................................26
Activity: Impute Missing Values from Internal Data .................................................................26
Activity: Identify Extreme Data Values ...................................................................................26
Activity: Clean Incorrect Formats ...........................................................................................27
Activity: Create a Categorical Variable from a Quantitative Variable ..........................................27
Activity: Create a Boolean Variable that Represents a Categorical Variable.................................27
Activity: Splitting a Variable into Multiple Variables................................................................28
Chapter 3: Making Sense of Data Through Visualization ............................................................28
Chapter Review Questions ......................................................................................................28
Section 1: The Grammar of Graphics ......................................................................................28
Section 2: Visualizations with One Quantitative Variable ..........................................................29
Section 3: Visualizations with One Categorical Variable ...........................................................30
Section 4: Visualizations with Two Variables ..........................................................................30
Section 5: Visualizations with Three or More Variables ............................................................32
Section 6: The Dangers of Visual Misrepresentation .................................................................33
Section 7: Data Visualization Guidelines .................................................................................33
Explaining the Concepts .........................................................................................................34
Try It Yourself .......................................................................................................................35
Try It Yourself: Interpret a Histogram (3.2) .............................................................................35
Try It Yourself: Describe a Density Plot (3.2) ..........................................................................35
Try It Yourself: Work with a Box Plot (3.2).............................................................................36
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, Data Science for All
Try It Yourself: Interpret a Violin Plot (3.2).............................................................................36
Try It Yourself: Ponder a Word Cloud (3.3) .............................................................................37
Try It Yourself: Interpret a Column Chart (3.4) ........................................................................37
Try It Yourself: Navigate a Treemap (3.4) ...............................................................................37
Try It Yourself: Contemplate a Box Plot with a Categorical Variable (3.4) ..................................38
Try It Yourself: Interpret a Violin Plot with a Categorical Variable (3.4) .....................................38
Try It Yourself: Interpret a Scatterplot (3.4) .............................................................................38
Try It Yourself: Explore a Line Chart (3.4) ..............................................................................39
Try It Yourself: Describe a Bubble Chart (3.5) ........................................................................39
Try It Yourself: Interpret a Heatmap (3.5) ...............................................................................40
Try It Yourself: Interpret a Geographic Map (3.5) ....................................................................40
Try It Yourself: Navigate the Dangers of Cherry-Picking (3.6)...................................................40
Applying the Concepts............................................................................................................41
Activity: Interpret a Histogram ...............................................................................................41
Activity: Describe a Density Plot............................................................................................42
Activity: Work with a Box Plot ..............................................................................................43
Activity: Interpret a Violin Plot ..............................................................................................44
Activity: Ponder a Word Cloud ..............................................................................................45
Activity: Interpret a Column Chart .........................................................................................45
Activity: Navigate a Treemap ................................................................................................46
Activity: Contemplate a Box Plot with a Categorical Variable ...................................................47
Activity: Interpret a Violin Plot with a Categorical Variable ......................................................48
Activity: Interpret a Scatterplot ..............................................................................................49
Activity: Explore a Line Chart ...............................................................................................50
Activity: Describe a Bubble Chart ..........................................................................................51
Activity: Interpret a Heatmap .................................................................................................52
Activity: Interpret a Geographic Map ......................................................................................53
Activity: Navigate the Dangers of Cherry-Picking ....................................................................53
Chapter 4: Exploratory Data Analysis ........................................................................................54
Chapter Review Questions ......................................................................................................54
Section 1: Central Tendency ..................................................................................................54
Section 2: Variability ............................................................................................................54
Section 3: Shape ...................................................................................................................55
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