In this chapter you’ll learn the value of visualizations, using real-world data on British monarchs, Australian salaries, Panamanian animals, and US cigarette consumption, to graphically represent the spread of a variable using histograms and box plots.

A plot tells a thousand words

Motivating visualization

Continuous vs. categorical variables

Histograms

Interpreting histograms

Adjusting bin width

Box plots

Interpreting box plots

Ordering box plots

Visualizing distributions

You’ll learn how to interpret data plots and understand core data visualization concepts such as correlation, linear relationships, and log scales. Through interactive exercises, you’ll also learn how to explore the relationship between two continuous variables using scatter plots and line plots. You'll explore data on life expectancies, technology adoption, COVID-19 coronavirus cases, and Swiss juvenile offenders. Next you’ll be introduced to two other popular visualizations—bar plots and dot plots—often used to examine the relationship between categorical variables and continuous variables. Here, you'll explore famous athletes, health survey data, and the price of a Big Mac around the world.

Scatter plots

Interpreting scatter plots

Trends with scatter plots

Line plots

Interpreting line plots

Logarithmic scales for line plots

Bar plots

Interpreting bar plots

Interpreting stacked bar plots

Dot plots

Interpreting dot plots

Sorting dot plots

Visualizing two variables

It’s time to make your insights even more impactful. Discover how you can add color and shape to make your data visualizations clearer and easier to understand, especially when you find yourself working with more than two variables at the same time. You'll explore Los Angeles home prices, technology stock prices, math anxiety, the greatest hiphop songs, scotch whisky preferences, and fatty acids in olive oil.

Higher dimensions

Another dimension for scatter plots

Another dimension for line plots

Using color

Eye-catching colors

Qualitative, sequential, diverging

Highlighting data

Plotting many variables at once

Interpreting pair plots

Interpreting correlation heatmaps

The color and the shape

In this final chapter, you’ll learn how to identify and avoid the most common plot problems. For example, how can you avoid creating misleading or hard to interpret plots, and will your audience understand what it is you’re trying to tell them? All will be revealed! You'll explore wind directions, asthma incidence, and seats in the German Federal Council.

Poolcoördinaten

Taartdiagrammen

Roosplots

As-ellende

Assen van staafdiagrammen

Dubbele assen

Zintuiglijke overprikkeling

Chartjunk

Meerdere grafieken

Gefeliciteerd

99 problems but a plot ain't one of them

Gegevens visualiseren met grafieken, diagrammen en kaarten is een van de krachtigste manieren om complexe data te communiceren. In deze cursus leer je hoe je de beste visualisatie voor je gegevensset kiest en hoe je veelvoorkomende grafiektypen zoals histogrammen, scatterplots, lijngrafieken en staafdiagrammen interpreteert. Je leert ook over best practices voor het gebruik van kleuren en vormen in je grafieken en hoe je veelvoorkomende valkuilen vermijdt. Met praktische oefeningen verken je visueel meer dan 20 gegevenssets, waaronder wereldwijde levensverwachting, huizenprijzen in Los Angeles, ESPN’s 100 meest beroemde atleten en de beste hiphopnummers aller tijden.

De video’s bevatten live-transcripts, die je kunt openen door linksonder in de video’s op "Show transcript" te klikken.

De begrippenlijst van de cursus vind je rechts in de sectie met bronnen.

Om CPE-credits te behalen, moet je de cursus afronden en minimaal 70% scoren op de gekwalificeerde toets. Je gaat naar de toets door rechts op de CPE-credits-callout te klikken.

Leer hoe je data visualiseert met grafieken en kaarten en hoe je veelvoorkomende plots interpreteert.

Data­visualisatie begrijpen

Medewerker data-analist in SQL

Associate Data Engineer in SQL

Inzicht in datakwesties

Chartjunk

Datavisualisatie begrijpen

Praktische interactieve oefening

Chartjunk

Data­visualisatie begrijpen

Praktische interactieve oefening

Datavisualisatie begrijpen