Congratulations

Understanding Data Visualization

Richie Cotton

Data Evangelist at DataCamp

Histograms: show a distribution

Histogram of the age of ascension of English and British monarchs.

Box plots: show lots of distributions

Box plots of the age of start of rule of kings and queens, one for each royal house.

Scatter plots: compare two numeric variables

Scatter plot of LA home prices versus area

Line plots: show trends over time

Line plot of COVID-19 cases in China and outside of China

Bar plots: show counts by category

Bar plot of famous athletes by country

Dot plots: show log scale metrics by category

Extra dimensions

Scatter plot of length of schooling versus GNI in log scale with life expectancy represented as color

Scatter plot of length of schooling versus GNI in log scale split into panels for life expectancy

3 types of color scale

A line plot of technology adoption by households in the United States. The x-axis runs from 1930 to 1970, and the y-axis runs from 0 to 100 percent. There are four lines representing adoption of automobiles, refrigerators, stoves, and vacuums.

Stacked bar plot of vegetable and fruit consumption by year

Bar plot of likert survey using a diverging color scale

Pair plot: compare many variables

Pair plot for LA home dataset

Correlation heatmap: show related variables

Correlation heatmap of product satisfaction survey

Parallel coordinates plot: find patterns across variables

Parallel coordinates of country metrics from UN dataset separated by continent

Rose plot: show a cyclical distribution

Rose plot of animal activity at different hours

Dual axes are bad

Scatter plot of length of schooling versus dual axes for life expectancy and human development index showing a fake correlation due to misleading axes

Scatter plot of length of schooling versus dual axes for life expectancy and the human development index with adjusted axes showing little correlation