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Quantitative data (numerical data)
Consists of data values that are numerical, representing quantities that can be counted or measured.
Example: the number of employees at your firm or the average salary of an IT professional.
Categorical data (qualitative data)
Consists of data that are groups, such as names or labels, and are not necessarily numerical, but can still include numbers.
Example: the type of industry or firm
Pie chart
Categorical data set that displays parts of a whole.
Bar chart (bar graph)
Categorical data set that counts or frequencies for the categories.
Dot plot
Quantitative data set useful to display the distribution of data, particularly clusters, gaps, and outliers. Most useful for smaller data sets.
Stem plot (stem-and-leaf plot)
Quantitative data set useful to display the distribution or shape of data according to place values.
Box plot
Quantitative data set useful to display the center, spread, and outliers in a given data set.
Histogram
Quantitative data set useful to display the distribution (shape and spread) of quantitative data.
