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All LessonsFree Lessons (3)

What is Data Storytelling?

Getting Started Introduction Thinking for the Audience Communicating a Message Quiz: Data Storytelling

Using Altair for Data Storytelling

Introducing Altair Vega and Vega-Lite Encodings Marks Exercise: Draw a Multiline Chart Exercise: Encodings Exercise: Marks Quiz: Using Altair for Data Storytelling

The DIKW Pyramid

The Structure of the DIKW Pyramid

Turning Data into Information

Turning Information into Knowledge

Turning Knowledge into Wisdom

Exercise: The DIKW Pyramid

Quiz: The DIKW Pyramid

Introducing the Concept of Data

Data Definition Data Types Data License Data Cleaning Data Enrichment Exercise: Data Types Exercise: Missing Values Exercise: Data Manipulation Quiz: Concept of Data

Project

Visualize Geospatial Data Using Plotly and Mapbox

Getting Familiar with Unknown Data

Bar Chart Line Chart Stacked Area Chart Scatter Plot Box Plot Pie Chart Heatmap Geographical Map Exercise: Slopegraph and Dumbbell Chart Exercise: Trellis Chart, Column Chart, and Stacked Column Chart Exercise: Bubble Chart and Hex Bin Chart

Course Assessment

Assessment 1

Project

Data Visualization Using Plotly.js

Introducing the Concept of Information

Information Definition Asking the Right Questions Aggregation Binning Ordering Scales Decluttering Exercise: Concept of Information Quiz: Concept of Information

Data Modeling

Regression Kernel Density Estimation

Knowledge

The Concept of Knowledge Setting the Context Adding Annotations Crediting Images and Data Sources Adding Title and Subtitle Choosing Colors Choosing Size Adding Interactivity Detecting Lies Reducing Bias Exercise: Concept of Knowledge Quiz: Knowledge

Wisdom

The Concept of Wisdom Adding a Call to Action Combining Multiple Charts Publishing the Story on the Web

Course Assessment

Assessment 2

Case Studies

Bike Vendors Small Restaurant

Wrap Up

Appendix

Installing Altair

Using Python Altair for Data Storytelling/

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Quiz: The DIKW Pyramid

Quiz: The DIKW Pyramid

Test yourself on the skills you’ve acquired on the DIKW pyramid.

We'll cover the following...

1.

What is the first step to turning the data into a story using the DIKW pyramid?

A.

Adding context

B.

Extracting knowledge

C.

Cleaning and enriching data

D.

Building visualizations

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