Scatter

Scatter charts, also known as scatter plots or scatter graphs, are often used to display continuous data relationships.

The demo below illustrates the relationship between vitamin D and preventing COVID-19 infection. On the x-axis is the mean of vitamin D (nmol/L), whereas on the y-axis is the Covid-19 cases per one million of the population. The data was collected from 20 European countries on April 8th, 2020.

Nice to know


Pros:
  1. •

    Allows a quick overview of the data relationship.

  2. •

    Visualize patterns with ease.

  3. •

    Easy to interpret and understand.

  4. •

    Outliers are quick to identify.

  5. •

    Existence of relationship (or non relation) between variables is quickly identified.

  6. •

    Can handle a large number of data sets.

  7. •

    Flexible, as functions with almost any continuous scale data.

Cons:
  1. •

    Data can be easily cluttered with a large number of series.

  2. •

    Sometimes it is tricky to determine with accuracy distribution, correlations, and patterns.


Remark

To get a precise correlation, adding a trend line to the scatter chart is recommended, such as a regression line.